Abstract

Background

The CDC/Kaiser Adverse Childhood Experiences (ACE) study documented that ACEs predict adult health and self-harming behaviors. ACEs have been documented in physicians and are higher in physicians treated for problematic behavior. Plastic surgeons have never been assayed.

Objectives

Might ACE prevalences in plastic surgeons predict their adult health and/or behavior?

Methods

A total of 252 ABPS-certified plastic surgeons (72% men, 28% women) completed the 10-question CDC/Kaiser ACE survey by deidentified email. Data were collected on adult health and behaviors previously associated with ACEs in the literature.

Results

In total 42% of plastic surgeons had 1 or more ACEs; 9.9% had 4 or more. Emotional abuse was 2 times higher than the control CDC/Kaiser population, although other ACEs were lower. Gender differences existed: female surgeons suffered more sexual abuse (17% vs 8%), physical neglect (7% vs 1%), violence against their mothers (7% vs 2%), and self-defined burnout (32% vs 17%). ACEs occurred in clusters. Total ACEs predicted autoimmune disorders, chronic pain/fatigue, self-defined depression, irritable bowel, antidepressant/anxiolytic use, alcohol abuse, >3 marriages, >10 sexual partners, sex and work addiction, eating disorders, and self-defined burnout (all P < .020). Emotional abuse predicted alcohol abuse. Sexual abuse predicted sex addiction. Emotional neglect predicted autoimmune disease, antidepressant/anxiolytic use, eating disorder, and work addiction. Physical neglect predicted chronic fatigue/chronic pain, depression, and burnout (all P < .001 or less).

Conclusions

Adverse childhood experiences occurred in 42% of our 252-member plastic surgeon cohort and predicted 13 adult illnesses and self-harming behaviors that can impair surgeons’ lives and performances. This may facilitate their recognition and treatment.

The Adverse Childhood Experiences (ACE) study, the yardstick for childhood abuse and neglect for the Centers for Disease Control, has spawned a large literature since its first publications in 1977.1-8 These publications made 2 remarkable observations. First, adverse childhood experiences, as defined by the study authors, were common: at least 1 type of ACE occurred in 64% of 17,000 general medical patients before the age of 18.2,3,6 Sixteen percent had 4 or more ACEs.3 Second, there was a direct dose-effect relationship between the number of ACEs and many adult health problems and self-harming behavior; that is, the more ACEs a person had, the worse their adult health.4-6 These health issues included those that occurred as many as 30 or 40 years after the trauma, for example, cardiovascular disease in the absence of risk factors, autoimmune disease, hyperlipidemia, hypertension, diabetes, primary pulmonary fibrosis, cancer, multiple sclerosis, depression, substance abuse, and difficulty holding a job.2-8

We have previously shown that ACEs occurred in plastic surgery patients in prevalences that equaled or exceeded those in the Kaiser medical patient population, and that ACEs also correlated with body shame, which in turn correlated with many traits associated with body dysmorphic disorder (depression, antidepressant and recreational drug use, and persistent dissatisfaction with a surgical result).9,10

To our knowledge, there have been only 4 measures of ACEs in physicians, 1 in medical students, and none solely in surgeons or plastic surgeons.11-15 Although 3 studies reported lower prevalences in physicians than the Kaiser control, 1 study reported a higher (70%) prevalence of ACEs in physicians and residents treated for behavioral or disciplinary problems.11-14 Two studies have reported associations of ACEs with depression and/or burnout in physicians; burnout was 2.5 times more prevalent in physicians with ACE scores >4.13,14 Yet despite the current interest in physician behavior, health, and burnout, a 2020 survey documented that 81% of physicians had no knowledge of the ACE questionnaire or its immense literature.11

The purpose of this paper was to measure the prevalence of ACEs in board-certified plastic surgeons in the United States and to test correlations to those ACE-related adult health problems and self-harming behaviors already in the literature; to examine ACE gender differences; and further to determine if any individual types of childhood abuse or neglect predicted particular health outcomes.1-7 We also sought to determine whether ACEs might “cluster,” or occur together, and if so, which ones; and whether ACEs were associated with performance-affecting health issues, including self-diagnosed depression, work addiction, and burnout, among respondent plastic surgeons.13,14

METHODS

Study Population and the Adverse Childhood Experiences Survey

All US, Canadian, and International active and associate members, life members, and members of the Resident and Fellows Program of The Aesthetic Society were offered participation in an anonymous email survey created in Survey Monkey (Table 1 and Supplemental Table 1, located online at https://doi.org/10.1093/asj/sjae214).

Table 1.

The Adverse Childhood Experiences Survey as Administered

Instruction: Prior to your 18th birthday (check all that apply):
Did a parent or other adult in the household often or very often …
• Swear at you, insult you, put you down, or humiliate you
or
• call you things like "lazy", "stupid", or "ugly"?
or
• Act in a way that made you afraid that you might be physically hurt?
Did a parent or other adult in the household often or very often …
• Push, grab, slap, or throw something at you?
or
• Ever hit you so hard that you had marks or were injured?
Did an adult or person at least 5 years older than you ever …
• Touch or fondle you or have you touch their bodies in a sexual way?
or
• Ever hit you so hard that you had marks or were injured?
Did you often or very often feel that …
• No one in your family loved you or thought you were important or special?
or
• Your family didn't look out for each other, feel close to each other, or support each other?
Did you often or very often feel that …
• You didn't have enough to eat, had to wear dirty clothes, and had no one to protect you?
or
• Your parents were too drunk or high to take care of you or take you to the doctor if you needed it?
• Was a biological parent ever lost to you through divorce, abandonment, or other reason?
Was your mother or stepmother …
• Often or very often pushed, grabbed, slapped, or had something thrown at her?
or
• Sometimes, often, or very often kicked, bitten, hit with a fist or something hard?
or
• Ever repeatedly hit over at least a few minutes or threatened with a gun or knife?
• Did you live with anyone who was a problem drinker or used street drugs?
• Was a household member depressed, mentally ill, or attempt suicide?
• Did a household member go to prison?
Instruction: Prior to your 18th birthday (check all that apply):
Did a parent or other adult in the household often or very often …
• Swear at you, insult you, put you down, or humiliate you
or
• call you things like "lazy", "stupid", or "ugly"?
or
• Act in a way that made you afraid that you might be physically hurt?
Did a parent or other adult in the household often or very often …
• Push, grab, slap, or throw something at you?
or
• Ever hit you so hard that you had marks or were injured?
Did an adult or person at least 5 years older than you ever …
• Touch or fondle you or have you touch their bodies in a sexual way?
or
• Ever hit you so hard that you had marks or were injured?
Did you often or very often feel that …
• No one in your family loved you or thought you were important or special?
or
• Your family didn't look out for each other, feel close to each other, or support each other?
Did you often or very often feel that …
• You didn't have enough to eat, had to wear dirty clothes, and had no one to protect you?
or
• Your parents were too drunk or high to take care of you or take you to the doctor if you needed it?
• Was a biological parent ever lost to you through divorce, abandonment, or other reason?
Was your mother or stepmother …
• Often or very often pushed, grabbed, slapped, or had something thrown at her?
or
• Sometimes, often, or very often kicked, bitten, hit with a fist or something hard?
or
• Ever repeatedly hit over at least a few minutes or threatened with a gun or knife?
• Did you live with anyone who was a problem drinker or used street drugs?
• Was a household member depressed, mentally ill, or attempt suicide?
• Did a household member go to prison?
Table 1.

The Adverse Childhood Experiences Survey as Administered

Instruction: Prior to your 18th birthday (check all that apply):
Did a parent or other adult in the household often or very often …
• Swear at you, insult you, put you down, or humiliate you
or
• call you things like "lazy", "stupid", or "ugly"?
or
• Act in a way that made you afraid that you might be physically hurt?
Did a parent or other adult in the household often or very often …
• Push, grab, slap, or throw something at you?
or
• Ever hit you so hard that you had marks or were injured?
Did an adult or person at least 5 years older than you ever …
• Touch or fondle you or have you touch their bodies in a sexual way?
or
• Ever hit you so hard that you had marks or were injured?
Did you often or very often feel that …
• No one in your family loved you or thought you were important or special?
or
• Your family didn't look out for each other, feel close to each other, or support each other?
Did you often or very often feel that …
• You didn't have enough to eat, had to wear dirty clothes, and had no one to protect you?
or
• Your parents were too drunk or high to take care of you or take you to the doctor if you needed it?
• Was a biological parent ever lost to you through divorce, abandonment, or other reason?
Was your mother or stepmother …
• Often or very often pushed, grabbed, slapped, or had something thrown at her?
or
• Sometimes, often, or very often kicked, bitten, hit with a fist or something hard?
or
• Ever repeatedly hit over at least a few minutes or threatened with a gun or knife?
• Did you live with anyone who was a problem drinker or used street drugs?
• Was a household member depressed, mentally ill, or attempt suicide?
• Did a household member go to prison?
Instruction: Prior to your 18th birthday (check all that apply):
Did a parent or other adult in the household often or very often …
• Swear at you, insult you, put you down, or humiliate you
or
• call you things like "lazy", "stupid", or "ugly"?
or
• Act in a way that made you afraid that you might be physically hurt?
Did a parent or other adult in the household often or very often …
• Push, grab, slap, or throw something at you?
or
• Ever hit you so hard that you had marks or were injured?
Did an adult or person at least 5 years older than you ever …
• Touch or fondle you or have you touch their bodies in a sexual way?
or
• Ever hit you so hard that you had marks or were injured?
Did you often or very often feel that …
• No one in your family loved you or thought you were important or special?
or
• Your family didn't look out for each other, feel close to each other, or support each other?
Did you often or very often feel that …
• You didn't have enough to eat, had to wear dirty clothes, and had no one to protect you?
or
• Your parents were too drunk or high to take care of you or take you to the doctor if you needed it?
• Was a biological parent ever lost to you through divorce, abandonment, or other reason?
Was your mother or stepmother …
• Often or very often pushed, grabbed, slapped, or had something thrown at her?
or
• Sometimes, often, or very often kicked, bitten, hit with a fist or something hard?
or
• Ever repeatedly hit over at least a few minutes or threatened with a gun or knife?
• Did you live with anyone who was a problem drinker or used street drugs?
• Was a household member depressed, mentally ill, or attempt suicide?
• Did a household member go to prison?

The survey was deliberately shortened to 2 pages to encourage participation and was sent twice, on May 24 and June 3, 2021, entitled “ASERF Funded Study: Prevalence of Adverse Childhood Experiences.”16

Each recipient received introductory information and informed consent (Supplemental Table 2, located online at https://doi.org/10.1093/asj/sjae214) that specified the voluntary and innovative character of the research; summarized the Kaiser Permanente study results; indicated that surgeons had never been tested (true at the time); invited participation in a 5- to 10-minute survey comprising the 10-question Adverse Childhood Experiences Questionnaire and a separate health questionnaire; and stated that risks of taking the survey were remote, questions seeming too personal or discomfiting could be skipped, and data would be kept encoded and secure. We provided national suicide prevention lifeline contact information. Participants were specifically reassured that the data would be anonymous and that no one would be able to link data to respondents (Table 1 and Supplemental Tables 1, 2).

Participants were not compensated. The survey was structured so that surgeons had to attest that they had completed or deliberately left blank all questions before proceeding to the next page. Demographic and health history were recorded by the respondents. Country of origin and member status were not queried. The health questionnaire asked common review of systems questions and about ACE-related adult health problems and self-harming behaviors already described in the literature.1-7 Depression, work addiction, and burnout, which were not the primary foci of this investigation, were self-defined by the respondents. All data were input by Survey Monkey to an Excel document, following which the surveys were destroyed. Deidentified data were shared solely and directly with the statistician through secure transfer. M.B.C. did not have access to raw data.

IRB Exemption

The study was determined to be exempt by the Office of Research Integrity and Outreach at the University of Southern Maine on April 7, 2021. The University of Southern Maine determines IRB status for Saint Joseph Hospital in Nashua, New Hampshire, with which M.B.C. was affiliated during data collection.

Statistical Analysis

All comparisons of The Aesthetic Society member sample rates to Kaiser Permanente rates were made with a 1-sample test of proportions, with the Kaiser rate specified. Sample comparisons between groups were made with unadjusted Pearson’s chi-square tests for binary variables, and the nonparametric Kruskal-Wallis rank sum test for continuous variables. Two-sided 95% confidence intervals were calculated for proportions with the normal approximation to the binomial. Logistic regression was performed to correlate ACEs with adult health and model various adult health conditions with individual ACEs. A logistic regression mediation analysis was performed with bootstrapped samples to assess the probabilities of any associations between total ACE score and health outcomes and to determine whether individual ACEs predicted health outcomes. Logistic regression models were tested for goodness of fit with the Hosmer-Lemeshow test. Provided P values were unadjusted for multiple comparisons. All models and descriptive statistics were generated with R (version 3.5.1; Vienna, Austria), a free and open-source software environment. Demographic tables provide mean values and range for numerical variables. Specific details are provided with each table.

RESULTS

Groups and Demographic Information

A total of 274 surgeons responded out of 4226 surveyed (6.45%), 22 of whom were removed for answering “No” or “Prefer not to answer” to all questions, including demographic information (Table 2). Data were analyzed for the remaining 252 surgeons. Respondents were separated by age, gender, and geographic region for analysis. US, International, candidate, active, associate, and life members were not stratified.

Table 2.

Demographics of the Study Population

Demographic informationN (%)
Gender
 Males181 (71.8%)
 Females71 (28.2%)
Age
 30-40 years34 (13.5%)
 40-50 years27 (10.7%)
 50-60 years62 (24.6%)
 60-70 years76 (30.2%)
 Over 7053 (21%)
Race
 African American5 (2%)
 Asian10 (4%)
 Caucasian210 (83.3%)
 Latino or Hispanic16 (6.3%)
 Native American1 (0.4%)
 Native Hawaiian or Pacific Islander1 (0.4%)
 Prefer not to answer5 (2%)
 Two or more4 (1.6%)
Location (Regional)a
 Midwest36 (14.3%)
 Northeast54 (21.4%)
 Southeast52 (20.6%)
 Southwest32 (12.7%)
 West55 (21.8%)
 Prefer not to answer23 (9.1%)
Current relationship status
 Divorced21 (8.3%)
 Married203 (80.6%)
 Separated3 (1.2%)
 Single (never married)18 (7.1%)
 Widowed4 (1.6%)
 Prefer not to answer3 (1.2%)
Demographic informationN (%)
Gender
 Males181 (71.8%)
 Females71 (28.2%)
Age
 30-40 years34 (13.5%)
 40-50 years27 (10.7%)
 50-60 years62 (24.6%)
 60-70 years76 (30.2%)
 Over 7053 (21%)
Race
 African American5 (2%)
 Asian10 (4%)
 Caucasian210 (83.3%)
 Latino or Hispanic16 (6.3%)
 Native American1 (0.4%)
 Native Hawaiian or Pacific Islander1 (0.4%)
 Prefer not to answer5 (2%)
 Two or more4 (1.6%)
Location (Regional)a
 Midwest36 (14.3%)
 Northeast54 (21.4%)
 Southeast52 (20.6%)
 Southwest32 (12.7%)
 West55 (21.8%)
 Prefer not to answer23 (9.1%)
Current relationship status
 Divorced21 (8.3%)
 Married203 (80.6%)
 Separated3 (1.2%)
 Single (never married)18 (7.1%)
 Widowed4 (1.6%)
 Prefer not to answer3 (1.2%)

aNortheast—CT, DC, DE, MA, MD, ME, NH, NJ, NY, PA, RI, VT; Midwest—IA, IL, IN, KS, MI, MN, MO, ND, NE, OH, SD, WI; Southeast—AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV; Southwest—AZ, NM, OK, TX; West—AK, CA, CO, HI, ID, MT, NV, OR, UT, WA, WY.

Table 2.

Demographics of the Study Population

Demographic informationN (%)
Gender
 Males181 (71.8%)
 Females71 (28.2%)
Age
 30-40 years34 (13.5%)
 40-50 years27 (10.7%)
 50-60 years62 (24.6%)
 60-70 years76 (30.2%)
 Over 7053 (21%)
Race
 African American5 (2%)
 Asian10 (4%)
 Caucasian210 (83.3%)
 Latino or Hispanic16 (6.3%)
 Native American1 (0.4%)
 Native Hawaiian or Pacific Islander1 (0.4%)
 Prefer not to answer5 (2%)
 Two or more4 (1.6%)
Location (Regional)a
 Midwest36 (14.3%)
 Northeast54 (21.4%)
 Southeast52 (20.6%)
 Southwest32 (12.7%)
 West55 (21.8%)
 Prefer not to answer23 (9.1%)
Current relationship status
 Divorced21 (8.3%)
 Married203 (80.6%)
 Separated3 (1.2%)
 Single (never married)18 (7.1%)
 Widowed4 (1.6%)
 Prefer not to answer3 (1.2%)
Demographic informationN (%)
Gender
 Males181 (71.8%)
 Females71 (28.2%)
Age
 30-40 years34 (13.5%)
 40-50 years27 (10.7%)
 50-60 years62 (24.6%)
 60-70 years76 (30.2%)
 Over 7053 (21%)
Race
 African American5 (2%)
 Asian10 (4%)
 Caucasian210 (83.3%)
 Latino or Hispanic16 (6.3%)
 Native American1 (0.4%)
 Native Hawaiian or Pacific Islander1 (0.4%)
 Prefer not to answer5 (2%)
 Two or more4 (1.6%)
Location (Regional)a
 Midwest36 (14.3%)
 Northeast54 (21.4%)
 Southeast52 (20.6%)
 Southwest32 (12.7%)
 West55 (21.8%)
 Prefer not to answer23 (9.1%)
Current relationship status
 Divorced21 (8.3%)
 Married203 (80.6%)
 Separated3 (1.2%)
 Single (never married)18 (7.1%)
 Widowed4 (1.6%)
 Prefer not to answer3 (1.2%)

aNortheast—CT, DC, DE, MA, MD, ME, NH, NJ, NY, PA, RI, VT; Midwest—IA, IL, IN, KS, MI, MN, MO, ND, NE, OH, SD, WI; Southeast—AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV; Southwest—AZ, NM, OK, TX; West—AK, CA, CO, HI, ID, MT, NV, OR, UT, WA, WY.

Seventy-two percent of our respondents were males and 28% were females. This is a slightly different ratio than current The Aesthetic Society membership, of which 78% are males and 20% are females (2% nonrespondent).16 Twenty-four percent of respondents were under 50 years of age and 76% were over 50 years of age, important for our adult health assay. (The percentage of respondents over age 50 exceeded current The Aesthetic Society membership data, for which only 57% are over age 50.)16 Eighty-three percent of respondents were Caucasian, 6.3% Latino or Hispanic, 4% Asian, and 2% African American. Geographic distribution was widespread, with 64% of respondents evenly distributed in the northeastern, southeastern, and western states, and 27% in the Midwest or Southwest. A total of 9.1% of respondents refused to supply geographic locations. Eighty-one percent of respondents were married, 8.3% divorced, and smaller numbers single, separated, or widowed.

Comparison of Adverse Childhood Events in The Aesthetic Society Members to CDC Data

Forty-two percent of The Aesthetic Society respondents had at least 1 ACE, a prevalence significantly lower than the 64% in the CDC/Kaiser medical patient population (P < .0001; Table 3). However, 10% of surgeons had 4 or more ACEs, resembling the 12.5% in the CDC/Kaiser data. In our group, emotional abuse was almost double the control Kaiser prevalence (19.8% vs 10.6%, P < .0001). All other ACEs were either similar to Kaiser data or significantly lower.

Table 3.

Comparison of Adverse Childhood Events in The Aesthetic Society Respondents to Kaiser Permanente/US Centers for Disease Control Data

 The aesthetic society respondents, %95% CIKaiser value, %P value
1 or more ACEs41.7(35.6, 48)63.9<.0001
4 or more ACEs9.9(6.6, 14.5)12.50.253
Emotional abuse19.8(15.2, 25.4)10.6<.0001
Physical abuse14.7(10.7, 19.8)28.3<.0001
Sexual abuse10.7(7.3, 15.4)20.7<.0001
Emotional neglect11.1(7.6, 15.8)14.8.119
Physical neglect2.8(1.2, 5.9)9.9<.0001
Parental separation or divorce9.9(6.6, 14.5)23.3<.0001
Mother treated violently3.2(1.5, 6.4)12.7<.0001
Household substance abuse10.7(7.3, 15.4)26.9<.0001
Household mental illness16.3(12.1, 21.5)19.4.239
Incarcerated household member2(0.7, 4.8)4.7.059
 The aesthetic society respondents, %95% CIKaiser value, %P value
1 or more ACEs41.7(35.6, 48)63.9<.0001
4 or more ACEs9.9(6.6, 14.5)12.50.253
Emotional abuse19.8(15.2, 25.4)10.6<.0001
Physical abuse14.7(10.7, 19.8)28.3<.0001
Sexual abuse10.7(7.3, 15.4)20.7<.0001
Emotional neglect11.1(7.6, 15.8)14.8.119
Physical neglect2.8(1.2, 5.9)9.9<.0001
Parental separation or divorce9.9(6.6, 14.5)23.3<.0001
Mother treated violently3.2(1.5, 6.4)12.7<.0001
Household substance abuse10.7(7.3, 15.4)26.9<.0001
Household mental illness16.3(12.1, 21.5)19.4.239
Incarcerated household member2(0.7, 4.8)4.7.059

ACE, adverse childhood event; CI, confidence interval.

Table 3.

Comparison of Adverse Childhood Events in The Aesthetic Society Respondents to Kaiser Permanente/US Centers for Disease Control Data

 The aesthetic society respondents, %95% CIKaiser value, %P value
1 or more ACEs41.7(35.6, 48)63.9<.0001
4 or more ACEs9.9(6.6, 14.5)12.50.253
Emotional abuse19.8(15.2, 25.4)10.6<.0001
Physical abuse14.7(10.7, 19.8)28.3<.0001
Sexual abuse10.7(7.3, 15.4)20.7<.0001
Emotional neglect11.1(7.6, 15.8)14.8.119
Physical neglect2.8(1.2, 5.9)9.9<.0001
Parental separation or divorce9.9(6.6, 14.5)23.3<.0001
Mother treated violently3.2(1.5, 6.4)12.7<.0001
Household substance abuse10.7(7.3, 15.4)26.9<.0001
Household mental illness16.3(12.1, 21.5)19.4.239
Incarcerated household member2(0.7, 4.8)4.7.059
 The aesthetic society respondents, %95% CIKaiser value, %P value
1 or more ACEs41.7(35.6, 48)63.9<.0001
4 or more ACEs9.9(6.6, 14.5)12.50.253
Emotional abuse19.8(15.2, 25.4)10.6<.0001
Physical abuse14.7(10.7, 19.8)28.3<.0001
Sexual abuse10.7(7.3, 15.4)20.7<.0001
Emotional neglect11.1(7.6, 15.8)14.8.119
Physical neglect2.8(1.2, 5.9)9.9<.0001
Parental separation or divorce9.9(6.6, 14.5)23.3<.0001
Mother treated violently3.2(1.5, 6.4)12.7<.0001
Household substance abuse10.7(7.3, 15.4)26.9<.0001
Household mental illness16.3(12.1, 21.5)19.4.239
Incarcerated household member2(0.7, 4.8)4.7.059

ACE, adverse childhood event; CI, confidence interval.

Examined by themselves, adverse childhood experiences were common among our respondents, particularly household mental illness (16.3%), physical abuse (14.7%), emotional neglect (11.1%), sexual abuse, (10.7%), household substance abuse (10.7%), and divorce (9.9%). Physical neglect, violence against the mother, and incarceration of family members were less common at 2.8%, 3.2%, and 2%, respectively.

Adverse Childhood Experience Prevalences by Gender

Notable gender differences appeared. Female surgeons had suffered twice as much sexual abuse (16.9% vs 8.3%, P < .047), more than 6 times as much physical neglect (7% vs 1.1%, P < .010%), and experienced 4 times the prevalence of violence against their mothers (7% vs 1.7%, P < .028) (Table 4). A similar association of physical and sexual abuse in female physicians was documented by Stork et al.11

Table 4.

Adverse Childhood Experiences in The Aesthetic Society Respondents, by Gender

 MenWomenP value
ACEs ≥ 171 (39.2%)34 (47.9%).210
ACEs ≥ 416 (8.8%)9 (12.7%).359
ACEs total, average (range)0.9 (0,6)1.3 (0,9).133
Emotional abuse36 (19.9%)14 (19.7%).976
Physical abuse24 (13.3%)13 (18.3%).308
Sexual abuse15 (8.3%)12 (16.9%).047
Emotional neglect18 (9.9%)10 (14.1%).347
Physical neglect2 (1.1%)5 (7%).010
Parental separation or divorce14 (7.7%)11 (15.5%).064
Mother treated violently3 (1.7%)5 (7%).028
Household substance abuse17 (9.4%)10 (14.1%).279
Household mental illness29 (16%)12 (16.9%).865
Incarcerated household member2 (1.1%)3 (4.2%)
 MenWomenP value
ACEs ≥ 171 (39.2%)34 (47.9%).210
ACEs ≥ 416 (8.8%)9 (12.7%).359
ACEs total, average (range)0.9 (0,6)1.3 (0,9).133
Emotional abuse36 (19.9%)14 (19.7%).976
Physical abuse24 (13.3%)13 (18.3%).308
Sexual abuse15 (8.3%)12 (16.9%).047
Emotional neglect18 (9.9%)10 (14.1%).347
Physical neglect2 (1.1%)5 (7%).010
Parental separation or divorce14 (7.7%)11 (15.5%).064
Mother treated violently3 (1.7%)5 (7%).028
Household substance abuse17 (9.4%)10 (14.1%).279
Household mental illness29 (16%)12 (16.9%).865
Incarcerated household member2 (1.1%)3 (4.2%)

ACE, adverse childhood event.

Table 4.

Adverse Childhood Experiences in The Aesthetic Society Respondents, by Gender

 MenWomenP value
ACEs ≥ 171 (39.2%)34 (47.9%).210
ACEs ≥ 416 (8.8%)9 (12.7%).359
ACEs total, average (range)0.9 (0,6)1.3 (0,9).133
Emotional abuse36 (19.9%)14 (19.7%).976
Physical abuse24 (13.3%)13 (18.3%).308
Sexual abuse15 (8.3%)12 (16.9%).047
Emotional neglect18 (9.9%)10 (14.1%).347
Physical neglect2 (1.1%)5 (7%).010
Parental separation or divorce14 (7.7%)11 (15.5%).064
Mother treated violently3 (1.7%)5 (7%).028
Household substance abuse17 (9.4%)10 (14.1%).279
Household mental illness29 (16%)12 (16.9%).865
Incarcerated household member2 (1.1%)3 (4.2%)
 MenWomenP value
ACEs ≥ 171 (39.2%)34 (47.9%).210
ACEs ≥ 416 (8.8%)9 (12.7%).359
ACEs total, average (range)0.9 (0,6)1.3 (0,9).133
Emotional abuse36 (19.9%)14 (19.7%).976
Physical abuse24 (13.3%)13 (18.3%).308
Sexual abuse15 (8.3%)12 (16.9%).047
Emotional neglect18 (9.9%)10 (14.1%).347
Physical neglect2 (1.1%)5 (7%).010
Parental separation or divorce14 (7.7%)11 (15.5%).064
Mother treated violently3 (1.7%)5 (7%).028
Household substance abuse17 (9.4%)10 (14.1%).279
Household mental illness29 (16%)12 (16.9%).865
Incarcerated household member2 (1.1%)3 (4.2%)

ACE, adverse childhood event.

Adult Health Prevalences by Gender

There were gender health differences, some of which could have been anticipated, for example, more males had BMI's over 30 (12.2% vs 2.8%, P < .023), diabetes (7.2% vs 0%, P < .020), hypertension (34.8% vs 15.5%, P < .002), and hyperlipidemia (18.8% vs 5.6%, P < .009) (Table 5). However, despite the younger mean age of our female surgeon respondents (53.2 vs 60.5 years), antidepressant use was twice as common (31% vs 15.5%, P < .005), and females were almost twice as likely to self-diagnose burnout (32.4% vs 17.1%, P < .008).

Table 5.

Self-Reported Respondents’ Adult Health Prevalences, by Gender

Adult health prevalencesMenWomenP value
Age, average (range)60.5 (35-75 years)53.2 (35-75 years)<.001
Asthma/COPD17 (9.4%)6 (8.5%).815
Autoimmune disease13 (7.2%)6 (8.5%).732
BMI >3022 (12.2%)2 (2.8%).023
Cancer14 (7.7%)4 (5.6%).560
Chronic fatigue8 (4.4%)0 (0%).072
Chronic pain12 (6.6%)2 (2.8%).235
Depression24 (13.3%)16 (22.5%).070
Diabetes13 (7.2%)0 (0%).020
Headaches or migraines26 (14.4%)12 (16.9%).613
Heart disease11 (6.1%)1 (1.4%).117
High blood pressure63 (34.8%)11 (15.5%).002
Hyperlipidemia34 (18.8%)4 (5.6%).009
Irritable bowel or irregularity14 (7.7%)7 (9.9%).583
Skeletal fractures16 (8.8%)3 (4.2%).212
Antidepressants28 (15.5%)22 (31%).005
Anxiolytic drugs15 (8.3%)6 (8.5%).966
Recreational drugs16 (8.8%)5 (7%).642
Alcohol abuse11 (6.1%)7 (9.9%).294
Smoking16 (8.8%)6 (8.5%).922
Problems keeping a job (absenteeism, conflict)0 (0%)2 (2.8%)
3 or more marriages6 (3.3%)0 (0%).120
10 or more sexual partners43 (23.8%)18 (25.4%).790
Gambling addiction0 (0%)0 (0%)
Sex addiction8 (4.4%)0 (0%).072
Eating disorder10 (5.5%)7 (9.9%).217
Self-defined work addiction27 (14.9%)9 (12.7%).647
Self-defined burnout31 (17.1%)23 (32.4%).008
Adult health prevalencesMenWomenP value
Age, average (range)60.5 (35-75 years)53.2 (35-75 years)<.001
Asthma/COPD17 (9.4%)6 (8.5%).815
Autoimmune disease13 (7.2%)6 (8.5%).732
BMI >3022 (12.2%)2 (2.8%).023
Cancer14 (7.7%)4 (5.6%).560
Chronic fatigue8 (4.4%)0 (0%).072
Chronic pain12 (6.6%)2 (2.8%).235
Depression24 (13.3%)16 (22.5%).070
Diabetes13 (7.2%)0 (0%).020
Headaches or migraines26 (14.4%)12 (16.9%).613
Heart disease11 (6.1%)1 (1.4%).117
High blood pressure63 (34.8%)11 (15.5%).002
Hyperlipidemia34 (18.8%)4 (5.6%).009
Irritable bowel or irregularity14 (7.7%)7 (9.9%).583
Skeletal fractures16 (8.8%)3 (4.2%).212
Antidepressants28 (15.5%)22 (31%).005
Anxiolytic drugs15 (8.3%)6 (8.5%).966
Recreational drugs16 (8.8%)5 (7%).642
Alcohol abuse11 (6.1%)7 (9.9%).294
Smoking16 (8.8%)6 (8.5%).922
Problems keeping a job (absenteeism, conflict)0 (0%)2 (2.8%)
3 or more marriages6 (3.3%)0 (0%).120
10 or more sexual partners43 (23.8%)18 (25.4%).790
Gambling addiction0 (0%)0 (0%)
Sex addiction8 (4.4%)0 (0%).072
Eating disorder10 (5.5%)7 (9.9%).217
Self-defined work addiction27 (14.9%)9 (12.7%).647
Self-defined burnout31 (17.1%)23 (32.4%).008

BMI, body mass index; COPD, chronic obstructive pulmonary disease.

Table 5.

Self-Reported Respondents’ Adult Health Prevalences, by Gender

Adult health prevalencesMenWomenP value
Age, average (range)60.5 (35-75 years)53.2 (35-75 years)<.001
Asthma/COPD17 (9.4%)6 (8.5%).815
Autoimmune disease13 (7.2%)6 (8.5%).732
BMI >3022 (12.2%)2 (2.8%).023
Cancer14 (7.7%)4 (5.6%).560
Chronic fatigue8 (4.4%)0 (0%).072
Chronic pain12 (6.6%)2 (2.8%).235
Depression24 (13.3%)16 (22.5%).070
Diabetes13 (7.2%)0 (0%).020
Headaches or migraines26 (14.4%)12 (16.9%).613
Heart disease11 (6.1%)1 (1.4%).117
High blood pressure63 (34.8%)11 (15.5%).002
Hyperlipidemia34 (18.8%)4 (5.6%).009
Irritable bowel or irregularity14 (7.7%)7 (9.9%).583
Skeletal fractures16 (8.8%)3 (4.2%).212
Antidepressants28 (15.5%)22 (31%).005
Anxiolytic drugs15 (8.3%)6 (8.5%).966
Recreational drugs16 (8.8%)5 (7%).642
Alcohol abuse11 (6.1%)7 (9.9%).294
Smoking16 (8.8%)6 (8.5%).922
Problems keeping a job (absenteeism, conflict)0 (0%)2 (2.8%)
3 or more marriages6 (3.3%)0 (0%).120
10 or more sexual partners43 (23.8%)18 (25.4%).790
Gambling addiction0 (0%)0 (0%)
Sex addiction8 (4.4%)0 (0%).072
Eating disorder10 (5.5%)7 (9.9%).217
Self-defined work addiction27 (14.9%)9 (12.7%).647
Self-defined burnout31 (17.1%)23 (32.4%).008
Adult health prevalencesMenWomenP value
Age, average (range)60.5 (35-75 years)53.2 (35-75 years)<.001
Asthma/COPD17 (9.4%)6 (8.5%).815
Autoimmune disease13 (7.2%)6 (8.5%).732
BMI >3022 (12.2%)2 (2.8%).023
Cancer14 (7.7%)4 (5.6%).560
Chronic fatigue8 (4.4%)0 (0%).072
Chronic pain12 (6.6%)2 (2.8%).235
Depression24 (13.3%)16 (22.5%).070
Diabetes13 (7.2%)0 (0%).020
Headaches or migraines26 (14.4%)12 (16.9%).613
Heart disease11 (6.1%)1 (1.4%).117
High blood pressure63 (34.8%)11 (15.5%).002
Hyperlipidemia34 (18.8%)4 (5.6%).009
Irritable bowel or irregularity14 (7.7%)7 (9.9%).583
Skeletal fractures16 (8.8%)3 (4.2%).212
Antidepressants28 (15.5%)22 (31%).005
Anxiolytic drugs15 (8.3%)6 (8.5%).966
Recreational drugs16 (8.8%)5 (7%).642
Alcohol abuse11 (6.1%)7 (9.9%).294
Smoking16 (8.8%)6 (8.5%).922
Problems keeping a job (absenteeism, conflict)0 (0%)2 (2.8%)
3 or more marriages6 (3.3%)0 (0%).120
10 or more sexual partners43 (23.8%)18 (25.4%).790
Gambling addiction0 (0%)0 (0%)
Sex addiction8 (4.4%)0 (0%).072
Eating disorder10 (5.5%)7 (9.9%).217
Self-defined work addiction27 (14.9%)9 (12.7%).647
Self-defined burnout31 (17.1%)23 (32.4%).008

BMI, body mass index; COPD, chronic obstructive pulmonary disease.

Logistic Regression to Test Whether Total ACE Score Predicted Health or Behavioral Outcomes

There was a strong association between total ACE score and health outcomes for 13 of the 25 health outcomes assayed: autoimmune disease, chronic fatigue, chronic pain, depression, irritable bowel, current antidepressant or anxiolytic drug use, alcohol abuse, 10 or more sexual partners, sex addiction, eating disorder, work addiction, and burnout (P < .02 or less; Table 6).

Table 6.

Logistic Regression to Test Whether Total ACE Score Predicted Individual Health Outcomes, Adjusted for Age, All Respondents

Health problemACE total OR95% CIP value
Asthma/COPD0.83(0.59-1.17).291
Autoimmune disease1.60(1.29-1.99)<.001
BMI >301.00(0.74-1.34)0.984
Cancer0.72(0.45-1.14)0.161
Chronic fatigue1.90(1.32-2.75)<.001
Chronic pain1.84(1.40-2.42)<.001
Depression1.73(1.41-2.11)<.001
Headaches or migraines1.17(0.97-1.41).094
Heart disease0.92(0.61-1.40).708
High blood pressure0.98(0.81-1.18).809
Hyperlipidemia0.91(0.70-1.17).441
Irritable bowel or irregularity1.43(1.16-1.77)<.001
Skeletal fractures0.79(0.53-1.19).267
Antidepressants1.45(1.21-1.74)<.001
Anxiolytic drug1.44(1.17-1.78)<.001
Recreational drugs1.13(0.89-1.44).306
Alcohol abuse1.44(1.15-1.79).001
Smoking1.18(0.94-1.48).148
Problems keeping a job (absenteeism, conflict)1.37(0.85-2.20).194
3 or more marriages1.16(0.72-1.85).542
10 or more sexual partners1.28(1.08-1.50).004
Sex addiction1.55(1.07-2.25).020
Eating disorder1.41(1.13-1.76).002
Self-defined work addiction1.60(1.32-1.93)<.001
Self-defined burnout1.47(1.22-1.76)<.001
Health problemACE total OR95% CIP value
Asthma/COPD0.83(0.59-1.17).291
Autoimmune disease1.60(1.29-1.99)<.001
BMI >301.00(0.74-1.34)0.984
Cancer0.72(0.45-1.14)0.161
Chronic fatigue1.90(1.32-2.75)<.001
Chronic pain1.84(1.40-2.42)<.001
Depression1.73(1.41-2.11)<.001
Headaches or migraines1.17(0.97-1.41).094
Heart disease0.92(0.61-1.40).708
High blood pressure0.98(0.81-1.18).809
Hyperlipidemia0.91(0.70-1.17).441
Irritable bowel or irregularity1.43(1.16-1.77)<.001
Skeletal fractures0.79(0.53-1.19).267
Antidepressants1.45(1.21-1.74)<.001
Anxiolytic drug1.44(1.17-1.78)<.001
Recreational drugs1.13(0.89-1.44).306
Alcohol abuse1.44(1.15-1.79).001
Smoking1.18(0.94-1.48).148
Problems keeping a job (absenteeism, conflict)1.37(0.85-2.20).194
3 or more marriages1.16(0.72-1.85).542
10 or more sexual partners1.28(1.08-1.50).004
Sex addiction1.55(1.07-2.25).020
Eating disorder1.41(1.13-1.76).002
Self-defined work addiction1.60(1.32-1.93)<.001
Self-defined burnout1.47(1.22-1.76)<.001

ACE, adverse childhood event; BMI, body mass index; CI, confidence interval; COPD, chronic obstructive pulmonary disease; OR, odds ratio.

Table 6.

Logistic Regression to Test Whether Total ACE Score Predicted Individual Health Outcomes, Adjusted for Age, All Respondents

Health problemACE total OR95% CIP value
Asthma/COPD0.83(0.59-1.17).291
Autoimmune disease1.60(1.29-1.99)<.001
BMI >301.00(0.74-1.34)0.984
Cancer0.72(0.45-1.14)0.161
Chronic fatigue1.90(1.32-2.75)<.001
Chronic pain1.84(1.40-2.42)<.001
Depression1.73(1.41-2.11)<.001
Headaches or migraines1.17(0.97-1.41).094
Heart disease0.92(0.61-1.40).708
High blood pressure0.98(0.81-1.18).809
Hyperlipidemia0.91(0.70-1.17).441
Irritable bowel or irregularity1.43(1.16-1.77)<.001
Skeletal fractures0.79(0.53-1.19).267
Antidepressants1.45(1.21-1.74)<.001
Anxiolytic drug1.44(1.17-1.78)<.001
Recreational drugs1.13(0.89-1.44).306
Alcohol abuse1.44(1.15-1.79).001
Smoking1.18(0.94-1.48).148
Problems keeping a job (absenteeism, conflict)1.37(0.85-2.20).194
3 or more marriages1.16(0.72-1.85).542
10 or more sexual partners1.28(1.08-1.50).004
Sex addiction1.55(1.07-2.25).020
Eating disorder1.41(1.13-1.76).002
Self-defined work addiction1.60(1.32-1.93)<.001
Self-defined burnout1.47(1.22-1.76)<.001
Health problemACE total OR95% CIP value
Asthma/COPD0.83(0.59-1.17).291
Autoimmune disease1.60(1.29-1.99)<.001
BMI >301.00(0.74-1.34)0.984
Cancer0.72(0.45-1.14)0.161
Chronic fatigue1.90(1.32-2.75)<.001
Chronic pain1.84(1.40-2.42)<.001
Depression1.73(1.41-2.11)<.001
Headaches or migraines1.17(0.97-1.41).094
Heart disease0.92(0.61-1.40).708
High blood pressure0.98(0.81-1.18).809
Hyperlipidemia0.91(0.70-1.17).441
Irritable bowel or irregularity1.43(1.16-1.77)<.001
Skeletal fractures0.79(0.53-1.19).267
Antidepressants1.45(1.21-1.74)<.001
Anxiolytic drug1.44(1.17-1.78)<.001
Recreational drugs1.13(0.89-1.44).306
Alcohol abuse1.44(1.15-1.79).001
Smoking1.18(0.94-1.48).148
Problems keeping a job (absenteeism, conflict)1.37(0.85-2.20).194
3 or more marriages1.16(0.72-1.85).542
10 or more sexual partners1.28(1.08-1.50).004
Sex addiction1.55(1.07-2.25).020
Eating disorder1.41(1.13-1.76).002
Self-defined work addiction1.60(1.32-1.93)<.001
Self-defined burnout1.47(1.22-1.76)<.001

ACE, adverse childhood event; BMI, body mass index; CI, confidence interval; COPD, chronic obstructive pulmonary disease; OR, odds ratio.

Correlation of Individual Adverse Childhood Events and Health

We performed logistic regression to test whether individual ACEs predicted individual health outcomes (Table 7 and Supplemental Table 3, located online at https://doi.org/10.1093/asj/sjae214). For autoimmune disease, the 2 ACEs with the highest odds ratios were emotional neglect and emotional abuse; for chronic fatigue, physical neglect and emotional neglect; for chronic pain, physical neglect and household mental illness; for depression, physical neglect and household mental illness; for irritable bowel or irregularity, household mental illness and emotional neglect; for anxiolytic drug use, emotional neglect and household mental illness; and for alcohol abuse, emotional and physical abuse.

Table 7.

Logistic Regression to Test Which Adverse Childhood Events Predict Health Outcomes

ACE and health outcomeOR95% CIP value
ACEs and autoimmune disease
ACE total1.60(1.29-1.99)<.001
ACE ≥ 13.35(1.22-9.20).019
ACE ≥ 412.59(4.36-36.37)<.001
Emotional abuse9.03(3.28-24.82)<.001
Physical abuse6.76(2.48-18.44)<.001
Emotional neglect12.18(4.32-34.33)<.001
Household mental illness6.96(2.59-18.69)<.001
ACEs and chronic fatigue
ACE total1.90(1.32-2.75)<.001
ACE ≥ 420.08(4.17-96.74)<.001
Emotional abuse7.11(1.59-31.81).010
Physical abuse8.03(1.80-35.86).006
Sexual abuse12.91(2.78-59.99).001
Emotional neglect17.26(3.61-82.50)<.001
Physical neglect35.29(1.74-716.12).020
Household mental illness9.54(2.11-43.20).003
ACEs and chronic pain
ACE total1.84(1.40-2.42)<.001
ACE ≥ 110.70(2.28-50.14).003
ACE ≥ 48.90(2.63-30.11)<.001
Emotional abuse8.67(2.67-28.13)<.001
Physical abuse8.40(2.57-27.52)<.001
Sexual abuse6.17(1.76-21.65).004
Emotional neglect6.65(2.00-22.14).002
Physical neglect21.24(2.41-187.39).006
Household mental illness11.52(3.49-38.03)<.001
ACEs and depression
ACE total1.73(1.41-2.11)<.001
ACE ≥ 14.63(2.18-9.83)<.001
ACE ≥ 49.63(3.93-23.59)<.001
Emotional abuse6.35(3.01-13.37)<.001
Physical abuse3.10(1.39-6.92).006
Sexual abuse4.20(1.76-10.07).001
Emotional neglect7.28(3.08-17.17)<.001
Physical neglect13.19(2.37-73.36).003
Mother treated violently5.10(1.19-21.83).028
Household substance abuse4.77(1.98-11.50)<.001
Household mental illness9.34(4.27-20.41)<.001
ACE and irritable bowel or irregularity
ACE total1.43(1.16-1.77)<.001
ACE ≥ 47.65(2.78-21.10)<.001
Emotional abuse4.35(1.73-10.96).002
Emotional neglect5.02(1.80-14.01).002
Household mental illness7.42(2.89-19.06)<.001
ACE and antidepressants
ACE total1.45(1.21-1.74)<.001
ACE ≥ 13.81(1.95-7.45)<.001
ACE ≥ 44.47(1.86-10.71)<.001
Emotional abuse3.13(1.54-6.34).002
Physical abuse2.49(1.15-5.42).021
Sexual abuse3.50(1.49-8.23).004
Emotional neglect7.51(3.18-17.74)<.001
Household substance abuse3.19(1.35-7.55).008
Household mental illness5.30(2.51-11.16)<.001
ACE and anxiolytic drug
ACE total1.44(1.17-1.78)<.001
ACE ≥ 13.10(1.20-8.00).019
ACE ≥ 46.10(2.16-17.26)<.001
Emotional abuse3.50(1.38-8.86).008
Physical abuse3.38(1.26-9.10).016
Sexual abuse4.27(1.46-12.53).008
Emotional neglect7.06(2.54-19.58)<.001
Household mental illness4.79(1.86-12.37).001
ACE and alcohol abuse
ACE total1.44(1.15-1.79).001
ACE ≥ 15.35(1.70-16.81).004
ACE ≥ 45.49(1.84-16.39).002
Emotional abuse7.99(2.90-22.02)<.001
Physical abuse5.50(2.00-15.13)<.001
Emotional neglect3.50(1.12-10.88).031
Household substance abuse3.56(1.15-11.06).028
Household mental illness4.95(1.81-13.57).002
ACE and 10 or more sexual partners
ACE total1.28(1.08-1.50).004
ACE ≥ 12.33(1.29-4.19).005
Physical abuse2.88(1.38-5.97).005
Parental separation or divorce7.54(3.06-18.55)<.001
Household substance abuse3.42(1.50-7.79).003
Incarcerated household member2.07(0.33-12.88).436
ACE and sex addiction
ACE total1.55(1.07-2.25).020
ACE ≥ 15.01(0.98-25.62).053
ACE ≥ 44.19(0.71-24.57).113
Emotional abuse4.52(1.06-19.23).041
Sexual abuse8.81(1.78-43.64).008
Emotional neglect6.94(1.43-33.59).016
Incarcerated household member24.55(1.39-434.30).029
ACE and eating disorder
ACE total1.41(1.13-1.76).002
ACE ≥ 12.65(0.94-7.45).064
ACE ≥ 48.16(2.76-24.13)<.001
Emotional abuse3.16(1.13-8.83).028
Sexual abuse5.11(1.69-15.51).004
Emotional neglect9.33(3.19-27.32)<.001
Household mental illness5.44(1.94-15.23).001
ACE and self-defined work addiction
ACE total1.60(1.32-1.93)<.001
ACE ≥ 15.47(2.44-12.29)<.001
ACE ≥ 46.48(2.63-15.99)<.001
Emotional abuse6.66(3.12-14.22)<.001
Physical abuse3.29(1.44-7.51).005
Sexual abuse5.89(2.39-14.51)<.001
Emotional neglect11.58(4.76-28.19)<.001
Household mental illness6.06(2.77-13.24)<.001
ACE and self-defined burnout
ACE total1.47(1.22-1.76)<.001
ACE ≥ 11.96(1.06-3.64).033
ACE ≥ 47.53(3.05-18.60)<.001
Emotional abuse3.08(1.54-6.19).002
Physical abuse3.49(1.64-7.42).001
Sexual abuse3.97(1.69-9.33).002
Emotional neglect4.95(2.11-11.61)<.001
Physical neglect19.27(2.21-168.17).007
Household mental illness3.59(1.71-7.53)<.001
ACE and health outcomeOR95% CIP value
ACEs and autoimmune disease
ACE total1.60(1.29-1.99)<.001
ACE ≥ 13.35(1.22-9.20).019
ACE ≥ 412.59(4.36-36.37)<.001
Emotional abuse9.03(3.28-24.82)<.001
Physical abuse6.76(2.48-18.44)<.001
Emotional neglect12.18(4.32-34.33)<.001
Household mental illness6.96(2.59-18.69)<.001
ACEs and chronic fatigue
ACE total1.90(1.32-2.75)<.001
ACE ≥ 420.08(4.17-96.74)<.001
Emotional abuse7.11(1.59-31.81).010
Physical abuse8.03(1.80-35.86).006
Sexual abuse12.91(2.78-59.99).001
Emotional neglect17.26(3.61-82.50)<.001
Physical neglect35.29(1.74-716.12).020
Household mental illness9.54(2.11-43.20).003
ACEs and chronic pain
ACE total1.84(1.40-2.42)<.001
ACE ≥ 110.70(2.28-50.14).003
ACE ≥ 48.90(2.63-30.11)<.001
Emotional abuse8.67(2.67-28.13)<.001
Physical abuse8.40(2.57-27.52)<.001
Sexual abuse6.17(1.76-21.65).004
Emotional neglect6.65(2.00-22.14).002
Physical neglect21.24(2.41-187.39).006
Household mental illness11.52(3.49-38.03)<.001
ACEs and depression
ACE total1.73(1.41-2.11)<.001
ACE ≥ 14.63(2.18-9.83)<.001
ACE ≥ 49.63(3.93-23.59)<.001
Emotional abuse6.35(3.01-13.37)<.001
Physical abuse3.10(1.39-6.92).006
Sexual abuse4.20(1.76-10.07).001
Emotional neglect7.28(3.08-17.17)<.001
Physical neglect13.19(2.37-73.36).003
Mother treated violently5.10(1.19-21.83).028
Household substance abuse4.77(1.98-11.50)<.001
Household mental illness9.34(4.27-20.41)<.001
ACE and irritable bowel or irregularity
ACE total1.43(1.16-1.77)<.001
ACE ≥ 47.65(2.78-21.10)<.001
Emotional abuse4.35(1.73-10.96).002
Emotional neglect5.02(1.80-14.01).002
Household mental illness7.42(2.89-19.06)<.001
ACE and antidepressants
ACE total1.45(1.21-1.74)<.001
ACE ≥ 13.81(1.95-7.45)<.001
ACE ≥ 44.47(1.86-10.71)<.001
Emotional abuse3.13(1.54-6.34).002
Physical abuse2.49(1.15-5.42).021
Sexual abuse3.50(1.49-8.23).004
Emotional neglect7.51(3.18-17.74)<.001
Household substance abuse3.19(1.35-7.55).008
Household mental illness5.30(2.51-11.16)<.001
ACE and anxiolytic drug
ACE total1.44(1.17-1.78)<.001
ACE ≥ 13.10(1.20-8.00).019
ACE ≥ 46.10(2.16-17.26)<.001
Emotional abuse3.50(1.38-8.86).008
Physical abuse3.38(1.26-9.10).016
Sexual abuse4.27(1.46-12.53).008
Emotional neglect7.06(2.54-19.58)<.001
Household mental illness4.79(1.86-12.37).001
ACE and alcohol abuse
ACE total1.44(1.15-1.79).001
ACE ≥ 15.35(1.70-16.81).004
ACE ≥ 45.49(1.84-16.39).002
Emotional abuse7.99(2.90-22.02)<.001
Physical abuse5.50(2.00-15.13)<.001
Emotional neglect3.50(1.12-10.88).031
Household substance abuse3.56(1.15-11.06).028
Household mental illness4.95(1.81-13.57).002
ACE and 10 or more sexual partners
ACE total1.28(1.08-1.50).004
ACE ≥ 12.33(1.29-4.19).005
Physical abuse2.88(1.38-5.97).005
Parental separation or divorce7.54(3.06-18.55)<.001
Household substance abuse3.42(1.50-7.79).003
Incarcerated household member2.07(0.33-12.88).436
ACE and sex addiction
ACE total1.55(1.07-2.25).020
ACE ≥ 15.01(0.98-25.62).053
ACE ≥ 44.19(0.71-24.57).113
Emotional abuse4.52(1.06-19.23).041
Sexual abuse8.81(1.78-43.64).008
Emotional neglect6.94(1.43-33.59).016
Incarcerated household member24.55(1.39-434.30).029
ACE and eating disorder
ACE total1.41(1.13-1.76).002
ACE ≥ 12.65(0.94-7.45).064
ACE ≥ 48.16(2.76-24.13)<.001
Emotional abuse3.16(1.13-8.83).028
Sexual abuse5.11(1.69-15.51).004
Emotional neglect9.33(3.19-27.32)<.001
Household mental illness5.44(1.94-15.23).001
ACE and self-defined work addiction
ACE total1.60(1.32-1.93)<.001
ACE ≥ 15.47(2.44-12.29)<.001
ACE ≥ 46.48(2.63-15.99)<.001
Emotional abuse6.66(3.12-14.22)<.001
Physical abuse3.29(1.44-7.51).005
Sexual abuse5.89(2.39-14.51)<.001
Emotional neglect11.58(4.76-28.19)<.001
Household mental illness6.06(2.77-13.24)<.001
ACE and self-defined burnout
ACE total1.47(1.22-1.76)<.001
ACE ≥ 11.96(1.06-3.64).033
ACE ≥ 47.53(3.05-18.60)<.001
Emotional abuse3.08(1.54-6.19).002
Physical abuse3.49(1.64-7.42).001
Sexual abuse3.97(1.69-9.33).002
Emotional neglect4.95(2.11-11.61)<.001
Physical neglect19.27(2.21-168.17).007
Household mental illness3.59(1.71-7.53)<.001

ACE, adverse childhood event; CI, confidence interval; OR, odds ratio.

Table 7.

Logistic Regression to Test Which Adverse Childhood Events Predict Health Outcomes

ACE and health outcomeOR95% CIP value
ACEs and autoimmune disease
ACE total1.60(1.29-1.99)<.001
ACE ≥ 13.35(1.22-9.20).019
ACE ≥ 412.59(4.36-36.37)<.001
Emotional abuse9.03(3.28-24.82)<.001
Physical abuse6.76(2.48-18.44)<.001
Emotional neglect12.18(4.32-34.33)<.001
Household mental illness6.96(2.59-18.69)<.001
ACEs and chronic fatigue
ACE total1.90(1.32-2.75)<.001
ACE ≥ 420.08(4.17-96.74)<.001
Emotional abuse7.11(1.59-31.81).010
Physical abuse8.03(1.80-35.86).006
Sexual abuse12.91(2.78-59.99).001
Emotional neglect17.26(3.61-82.50)<.001
Physical neglect35.29(1.74-716.12).020
Household mental illness9.54(2.11-43.20).003
ACEs and chronic pain
ACE total1.84(1.40-2.42)<.001
ACE ≥ 110.70(2.28-50.14).003
ACE ≥ 48.90(2.63-30.11)<.001
Emotional abuse8.67(2.67-28.13)<.001
Physical abuse8.40(2.57-27.52)<.001
Sexual abuse6.17(1.76-21.65).004
Emotional neglect6.65(2.00-22.14).002
Physical neglect21.24(2.41-187.39).006
Household mental illness11.52(3.49-38.03)<.001
ACEs and depression
ACE total1.73(1.41-2.11)<.001
ACE ≥ 14.63(2.18-9.83)<.001
ACE ≥ 49.63(3.93-23.59)<.001
Emotional abuse6.35(3.01-13.37)<.001
Physical abuse3.10(1.39-6.92).006
Sexual abuse4.20(1.76-10.07).001
Emotional neglect7.28(3.08-17.17)<.001
Physical neglect13.19(2.37-73.36).003
Mother treated violently5.10(1.19-21.83).028
Household substance abuse4.77(1.98-11.50)<.001
Household mental illness9.34(4.27-20.41)<.001
ACE and irritable bowel or irregularity
ACE total1.43(1.16-1.77)<.001
ACE ≥ 47.65(2.78-21.10)<.001
Emotional abuse4.35(1.73-10.96).002
Emotional neglect5.02(1.80-14.01).002
Household mental illness7.42(2.89-19.06)<.001
ACE and antidepressants
ACE total1.45(1.21-1.74)<.001
ACE ≥ 13.81(1.95-7.45)<.001
ACE ≥ 44.47(1.86-10.71)<.001
Emotional abuse3.13(1.54-6.34).002
Physical abuse2.49(1.15-5.42).021
Sexual abuse3.50(1.49-8.23).004
Emotional neglect7.51(3.18-17.74)<.001
Household substance abuse3.19(1.35-7.55).008
Household mental illness5.30(2.51-11.16)<.001
ACE and anxiolytic drug
ACE total1.44(1.17-1.78)<.001
ACE ≥ 13.10(1.20-8.00).019
ACE ≥ 46.10(2.16-17.26)<.001
Emotional abuse3.50(1.38-8.86).008
Physical abuse3.38(1.26-9.10).016
Sexual abuse4.27(1.46-12.53).008
Emotional neglect7.06(2.54-19.58)<.001
Household mental illness4.79(1.86-12.37).001
ACE and alcohol abuse
ACE total1.44(1.15-1.79).001
ACE ≥ 15.35(1.70-16.81).004
ACE ≥ 45.49(1.84-16.39).002
Emotional abuse7.99(2.90-22.02)<.001
Physical abuse5.50(2.00-15.13)<.001
Emotional neglect3.50(1.12-10.88).031
Household substance abuse3.56(1.15-11.06).028
Household mental illness4.95(1.81-13.57).002
ACE and 10 or more sexual partners
ACE total1.28(1.08-1.50).004
ACE ≥ 12.33(1.29-4.19).005
Physical abuse2.88(1.38-5.97).005
Parental separation or divorce7.54(3.06-18.55)<.001
Household substance abuse3.42(1.50-7.79).003
Incarcerated household member2.07(0.33-12.88).436
ACE and sex addiction
ACE total1.55(1.07-2.25).020
ACE ≥ 15.01(0.98-25.62).053
ACE ≥ 44.19(0.71-24.57).113
Emotional abuse4.52(1.06-19.23).041
Sexual abuse8.81(1.78-43.64).008
Emotional neglect6.94(1.43-33.59).016
Incarcerated household member24.55(1.39-434.30).029
ACE and eating disorder
ACE total1.41(1.13-1.76).002
ACE ≥ 12.65(0.94-7.45).064
ACE ≥ 48.16(2.76-24.13)<.001
Emotional abuse3.16(1.13-8.83).028
Sexual abuse5.11(1.69-15.51).004
Emotional neglect9.33(3.19-27.32)<.001
Household mental illness5.44(1.94-15.23).001
ACE and self-defined work addiction
ACE total1.60(1.32-1.93)<.001
ACE ≥ 15.47(2.44-12.29)<.001
ACE ≥ 46.48(2.63-15.99)<.001
Emotional abuse6.66(3.12-14.22)<.001
Physical abuse3.29(1.44-7.51).005
Sexual abuse5.89(2.39-14.51)<.001
Emotional neglect11.58(4.76-28.19)<.001
Household mental illness6.06(2.77-13.24)<.001
ACE and self-defined burnout
ACE total1.47(1.22-1.76)<.001
ACE ≥ 11.96(1.06-3.64).033
ACE ≥ 47.53(3.05-18.60)<.001
Emotional abuse3.08(1.54-6.19).002
Physical abuse3.49(1.64-7.42).001
Sexual abuse3.97(1.69-9.33).002
Emotional neglect4.95(2.11-11.61)<.001
Physical neglect19.27(2.21-168.17).007
Household mental illness3.59(1.71-7.53)<.001
ACE and health outcomeOR95% CIP value
ACEs and autoimmune disease
ACE total1.60(1.29-1.99)<.001
ACE ≥ 13.35(1.22-9.20).019
ACE ≥ 412.59(4.36-36.37)<.001
Emotional abuse9.03(3.28-24.82)<.001
Physical abuse6.76(2.48-18.44)<.001
Emotional neglect12.18(4.32-34.33)<.001
Household mental illness6.96(2.59-18.69)<.001
ACEs and chronic fatigue
ACE total1.90(1.32-2.75)<.001
ACE ≥ 420.08(4.17-96.74)<.001
Emotional abuse7.11(1.59-31.81).010
Physical abuse8.03(1.80-35.86).006
Sexual abuse12.91(2.78-59.99).001
Emotional neglect17.26(3.61-82.50)<.001
Physical neglect35.29(1.74-716.12).020
Household mental illness9.54(2.11-43.20).003
ACEs and chronic pain
ACE total1.84(1.40-2.42)<.001
ACE ≥ 110.70(2.28-50.14).003
ACE ≥ 48.90(2.63-30.11)<.001
Emotional abuse8.67(2.67-28.13)<.001
Physical abuse8.40(2.57-27.52)<.001
Sexual abuse6.17(1.76-21.65).004
Emotional neglect6.65(2.00-22.14).002
Physical neglect21.24(2.41-187.39).006
Household mental illness11.52(3.49-38.03)<.001
ACEs and depression
ACE total1.73(1.41-2.11)<.001
ACE ≥ 14.63(2.18-9.83)<.001
ACE ≥ 49.63(3.93-23.59)<.001
Emotional abuse6.35(3.01-13.37)<.001
Physical abuse3.10(1.39-6.92).006
Sexual abuse4.20(1.76-10.07).001
Emotional neglect7.28(3.08-17.17)<.001
Physical neglect13.19(2.37-73.36).003
Mother treated violently5.10(1.19-21.83).028
Household substance abuse4.77(1.98-11.50)<.001
Household mental illness9.34(4.27-20.41)<.001
ACE and irritable bowel or irregularity
ACE total1.43(1.16-1.77)<.001
ACE ≥ 47.65(2.78-21.10)<.001
Emotional abuse4.35(1.73-10.96).002
Emotional neglect5.02(1.80-14.01).002
Household mental illness7.42(2.89-19.06)<.001
ACE and antidepressants
ACE total1.45(1.21-1.74)<.001
ACE ≥ 13.81(1.95-7.45)<.001
ACE ≥ 44.47(1.86-10.71)<.001
Emotional abuse3.13(1.54-6.34).002
Physical abuse2.49(1.15-5.42).021
Sexual abuse3.50(1.49-8.23).004
Emotional neglect7.51(3.18-17.74)<.001
Household substance abuse3.19(1.35-7.55).008
Household mental illness5.30(2.51-11.16)<.001
ACE and anxiolytic drug
ACE total1.44(1.17-1.78)<.001
ACE ≥ 13.10(1.20-8.00).019
ACE ≥ 46.10(2.16-17.26)<.001
Emotional abuse3.50(1.38-8.86).008
Physical abuse3.38(1.26-9.10).016
Sexual abuse4.27(1.46-12.53).008
Emotional neglect7.06(2.54-19.58)<.001
Household mental illness4.79(1.86-12.37).001
ACE and alcohol abuse
ACE total1.44(1.15-1.79).001
ACE ≥ 15.35(1.70-16.81).004
ACE ≥ 45.49(1.84-16.39).002
Emotional abuse7.99(2.90-22.02)<.001
Physical abuse5.50(2.00-15.13)<.001
Emotional neglect3.50(1.12-10.88).031
Household substance abuse3.56(1.15-11.06).028
Household mental illness4.95(1.81-13.57).002
ACE and 10 or more sexual partners
ACE total1.28(1.08-1.50).004
ACE ≥ 12.33(1.29-4.19).005
Physical abuse2.88(1.38-5.97).005
Parental separation or divorce7.54(3.06-18.55)<.001
Household substance abuse3.42(1.50-7.79).003
Incarcerated household member2.07(0.33-12.88).436
ACE and sex addiction
ACE total1.55(1.07-2.25).020
ACE ≥ 15.01(0.98-25.62).053
ACE ≥ 44.19(0.71-24.57).113
Emotional abuse4.52(1.06-19.23).041
Sexual abuse8.81(1.78-43.64).008
Emotional neglect6.94(1.43-33.59).016
Incarcerated household member24.55(1.39-434.30).029
ACE and eating disorder
ACE total1.41(1.13-1.76).002
ACE ≥ 12.65(0.94-7.45).064
ACE ≥ 48.16(2.76-24.13)<.001
Emotional abuse3.16(1.13-8.83).028
Sexual abuse5.11(1.69-15.51).004
Emotional neglect9.33(3.19-27.32)<.001
Household mental illness5.44(1.94-15.23).001
ACE and self-defined work addiction
ACE total1.60(1.32-1.93)<.001
ACE ≥ 15.47(2.44-12.29)<.001
ACE ≥ 46.48(2.63-15.99)<.001
Emotional abuse6.66(3.12-14.22)<.001
Physical abuse3.29(1.44-7.51).005
Sexual abuse5.89(2.39-14.51)<.001
Emotional neglect11.58(4.76-28.19)<.001
Household mental illness6.06(2.77-13.24)<.001
ACE and self-defined burnout
ACE total1.47(1.22-1.76)<.001
ACE ≥ 11.96(1.06-3.64).033
ACE ≥ 47.53(3.05-18.60)<.001
Emotional abuse3.08(1.54-6.19).002
Physical abuse3.49(1.64-7.42).001
Sexual abuse3.97(1.69-9.33).002
Emotional neglect4.95(2.11-11.61)<.001
Physical neglect19.27(2.21-168.17).007
Household mental illness3.59(1.71-7.53)<.001

ACE, adverse childhood event; CI, confidence interval; OR, odds ratio.

The individual ACEs with the 2 highest odds ratios associated with 10 or more sexual partners were parental separation or household substance abuse; for sex addiction household member incarceration and sexual abuse; for eating disorders, emotional neglect and household mental illness; for work addiction, emotional neglect and emotional abuse; and for burnout, physical neglect and emotional neglect. (For space, Table 7 has been abbreviated. For interested readers, full results are available in Supplemental Table 3.)

Pairwise Clustering of Adverse Childhood Events and Health Outcomes

We hypothesized that adverse childhood experiences might not occur singly and might “cluster”; that is, whether surgeons who suffered 1 type of abuse or neglect in a family of origin would suffer others. This fact is intuitively obvious. For example, children who are sexually abused are, by definition, also being emotionally and physically abused, and there is mental illness in the family—so these children are not suffering 1 abuse type but at least 4. Clustering of adverse experiences turned out to be the case (Supplemental Table 4, located online at https://doi.org/10.1093/asj/sjae214). For example, among the 50 participants who had suffered emotional abuse (first column), 48% also had physical abuse, 22% had sexual abuse, 40% had emotional neglect, and 48% per household mental illness. Most striking was the clustering among those surgeons who had cited physical neglect: 100% also cited physical abuse, 71.4% sexual abuse and 71.4% emotional neglect, 57.1% parental separation or divorce, and 85.7% household mental illness. Clustering of physical and sexual abuse in female physicians was also documented by Stork et al.11

In the same way, health outcomes clustered (Supplemental Table 5, located online at https://doi.org/10.1093/asj/sjae214). For example, among those surgeons who cited chronic fatigue (second column), 62.5% also had autoimmune disease and chronic pain, 75% had depression, 87.5% had headaches or migraines, 75% had irritable bowel and were taking antidepressants or anxiolytic drugs, 62.5% had both eating disorders and work addiction, and 75% self-diagnosed as burned out.

Bar Graph Representation of the Most Prevalent Adverse Childhood Events and Health Clusters in The Aesthetic Society Respondents

Figure 1 is an effort to “profile” approximately 50% of our respondents and diagram the most frequently occurring ACE components and health combinations cited by 13 or more respondents. The number at the head of each bar indicates the number of surgeon respondents represented by that bar, and the bullets beneath each bar designate the ACE or health problem cited by that group of surgeons. For example (far left) 20 participants reported both emotional abuse and depression. For ease of reading, the transverse red boxes circle the most common health issues, for example, emotional abuse was experienced by 11 columns of surgeons. Similarly, the vertical green box highlights those ACEs and health responses common to approximately half of The Aesthetic Society respondents: emotional abuse, household mental illness, depression, on antidepressants, and burnout.

Co-occurrence of most commonly cited adverse childhood experience components and health outcomes among The Aesthetic Society respondents.
Figure 1.

Co-occurrence of most commonly cited adverse childhood experience components and health outcomes among The Aesthetic Society respondents.

DISCUSSION

Our previous papers and text made the connection between adverse childhood experiences (ACEs) and adult health and behavior in plastic surgery patients.9,10,17,18 Although the ACE literature is comprehensive, only 4 studies to date have reported ACEs in physicians, and to our knowledge none have addressed a surgical population alone or plastic surgeons.2-10,17-23 No physician studies, to our knowledge, have documented all 10 individual ACEs in physicians; documented that ACEs were experienced in groups (clusters); or performed logistic regression to test the probabilities that total ACEs or individual ACEs were associated with adult health or self-harming behaviors, including depression, work addiction, and burnout, especially relevant today. Therefore, we believe that we have introduced timely new information to the medical and ACE literature.

We modeled the current research on the CDC/Kaiser Permanente adverse childhood experiences study, in which it was demonstrated that ACEs were not only common but correlated directly with many common adult health problems, even illnesses occurring decades after childhood abuse or neglect—not just the expected ones, such as job loss, promiscuity, depression, or substance abuse, but less obviously explainable illnesses, for example, heart disease without preceding risk factors, multiple sclerosis, cancers, and primary pulmonary fibrosis.1-10,19-23 These physiologic and behavioral changes can be explained by adaptive behaviors or by brain alterations (see following).24-31

Although our data suggest that ACEs may be lower in plastic surgeons than in the population at large and therefore mirror other studies in physicians (see following), several observations can be made.11-14

  1. Adverse childhood experiences were common in The Aesthetic Society respondents (Table 3). Forty-two percent of respondents had at least 1 ACE, a significantly lower total prevalence than the 64% in the CDC/Kaiser medical patient population (P < .0001). Mean ACE score was 1.1. Nonetheless, our 41.7% prevalence comports with the 49% reported by Yellowlees et al for 300 physicians in a Northern California community, and the 45% reported by Stork et al for 226 community physicians in Michigan, but higher than the 15.6% prevalence in 7360 physicians (23% surgeons), and far lower than the 70% reported by Williams et al in 123 practicing and trainee physicians being treated for boundary violations, disruptive behaviors, or substance abuse.2,11-14

    In all, 9.9% of our surgeons had 4 or more ACEs, similar to the CDC/Kaiser data and to other physician and medical student surveys; but this represents less than half of the 22% prevalence reported in physicians treated for professionalism lapses.11-13,15

    The frequency of emotional abuse cited by our surgeons was almost double the Kaiser prevalence (19.8% vs 10.6%, P < .0001). A similar prevalence was reported by Trockel et al.14 Other ACEs were the same or lower than Kaiser data. Our most common individual ACEs were household mental illness (16.3%), physical abuse (14.7%), sexual abuse (10.7%), household substance abuse (10.7%), and emotional neglect (11.1%). Those individual ACEs are similar to those reported in the other 4 published physician studies.11-15 Such prevalences may surprise readers unfamiliar with the childhood trauma literature or with data in the United States population at large.2-10,32

  2. Adverse childhood events differed by gender (Table 4). Our female surgeons reported twice as much sexual abuse (16.9% vs 8.3%), and 6 and 4 times, respectively, more physical neglect (7% vs 1.1%) and violence against their mothers (7% vs 1.7%) than our male surgeons. Similar numbers are reported in physician and medical student studies.11,15 The childhood trauma literature also supports these disturbing results.33,34

  3. Self-reported adult health problems also differed by gender (Table 5). We surveyed our respondents for 25 common adult health problems, adding those that have been correlated to ACEs in the literature (Supplemental Table 1, located online at https://doi.org/10.1093/asj/sjae214). Among all respondents, reported heath and behavioral issues with prevalences of 10% or more, in descending order were: hypertension (29.4%); burnout (21.4%); 10 or more sexual partners (21%); taking antidepressants (19.8%); depression (15.9%); headaches and migraines (15.1%); hyperlipidemia (15.1%); and being work-addicted (14.3%) [these data were collected by the authors but were not included in this paper]. Health data were stratified by gender (Table 4). Some results were not surprising: males were 4 times more likely to be overweight than females (BMI >30 12.2% vs 2.8%), twice as likely to be hypertensive (34.8% vs 15.5%), and almost 3 times more likely to be hyperlipidemic (18.8% vs 5.6%). However, our female surgeons were twice as likely to be taking antidepressants (31% vs 15.5%) and nearly twice as likely to diagnose themselves as burned out (32.4% vs 17.1%). These burnout and depression gender dominances in females have been described by others, and burnout and depression have been documented for both genders in the medical and plastic surgery literature in prevalences as high as 55%.14,35-38 Although our surgeon respondents self-diagnosed burnout, a 2015 survey of 1691 US plastic surgeons in active practice and assayed by the validated Maslach Burnout Inventory generated a burnout rate of 29.7%, nearly the same as our data.39 Females are particularly at risk.35-40 Based on the surgical literature, our data for both male and female plastic surgeons may even be spuriously low.41-44

  4. Total ACE scores predicted adult health and behavioral issues. Associations between adverse childhood experiences and many adult health problems, addictions, and self-harming behaviors have already been broadly cataloged.3,6,7,19-21,23-25,45 The longitudinal nature of the original Kaiser Permanente study allowed investigators to demonstrate dose-response ACE-associated connections to diseases that occurred decades after the trauma.24,25 Although adult behavior may be attributed in part to adaptive habits borne of childhood experiences, biological explanations are also emerging to explain these putative disease connections.10 In some individuals, childhood trauma appears to adversely affect the hypothalamic-pituitary axis and the adaptability of the neuroendocrine stress response system, epigenetics, and brain function, producing chronic physiologic changes that predispose to illness.46-56 Specific trauma-induced anatomical and physiological changes in the brain have been identified, including those that produce learning and behavioral problems and psychopathology.56-61

    We found that total ACE score predicted 13 of the 25 health problems queried (Table 6). Direct predictive relationships existed between total and individual ACEs and autoimmune disorders, chronic fatigue, chronic pain, depression, irritable bowel, antidepressant or anxiolytic use, alcohol abuse, 10 or more sexual partners, sex or work addiction, eating disorders, work addiction, and burnout (all P < .020 or less). This associative correlation is not new, only newly documented in our surgical population; previous investigators have already connected total ACE scores in direct dose-response relationships to autoimmune disorders, chronic fatigue, chronic pain, depression, irritable bowel syndrome, antidepressant or anxiolytic use, alcohol abuse, promiscuity, sex or work addiction, eating disorders, and burnout.13,14,62-85

  5. Individual ACEs predicted health outcomes (Supplemental Table 3, located online at https://doi.org/10.1093/asj/sjae214). Because total ACE scores predicted 13 of the assayed 25 health and behavioral outcomes, we sought to determine which individual ACEs were responsible for those predictions. An abbreviated summary is shown in Table 7. Complete data are contained in Supplemental Table 3. All health outcomes had multiple predictive ACEs. Based on the highest single odds ratios, household mental illness predicted irritable bowel (OR 7.4, P < .001). Emotional abuse predicted alcohol abuse (OR 7.99, P < 001). Parental separation or divorce predicted 10 or more sexual partners (OR 7.54, P < .001). Incarceration of a household member predicted sex addiction (OR 24.55 P < .029). Physically and emotional neglect seemed to have the widest health effects on our respondents. Physically neglected surgeons had 35 times the chance of chronic fatigue (OR 35.29, P < .001); 21 times the chance of chronic pain (OR 21.24, P < .006); 13 times the likelihood of being depressed (OR 13.19, P < .003); and 19 times the chance of burnout (OR 19.27, P < .007). Emotional neglect predicted 12 times the likelihood of autoimmune disease (OR 12.18, P < .001); 9.3 times the chance of an eating disorder (OR 9.33, P < .001); 7.5 times the chance for antidepressant use (OR 7.5, P < .001); 7 times the chance for anxiolytic drug use (OR 7.0, P < .001); and nearly 12 times the likelihood of self-defined work addiction (OR 11.58, P < .001).

    Each surveyed health or behavioral problem had 3 to 4 additional and statistically significant predictive ACEs; for example, sexual abuse also predicted sex addiction (OR 8.81, P < .008), a recognized contributing factor.86

  6. As in the CDC/Kaiser Study, we found direct dose-response effects for many health issues: ACE score >4 was more strongly predictive than ACE score >1 for 11 of the 13 health problems for which significant associations were found: autoimmune disease, chronic fatigue, chronic pain, depression, irritable bowel, antidepressant and anxiolytic drug use, alcohol abuse, eating disorder, work addiction, and burnout. The observation that the more abuse and neglect in an individual's childhood, the worse his or her adult health was observed by the original investigators and remains unchallenged.2-6,9,20-23,25,29,87 Our data agree.

  7. Household dysfunction types clustered. Surgeons who cited 1 adverse experience often reported others (Supplemental Table 4, which should be read in columns, located online at https://doi.org/10.1093/asj/sjae214). Previous clustering studies have been performed to identify children and adolescents at risk of addictions, violence, or self-injury.88-92 Each health or behavioral issue clustered, some more commonly than others. The 2 ailments with the most coexisting health problems (Supplemental Table 5, located online at https://doi.org/10.1093/asj/sjae214) were chronic fatigue (whose surgeons also suffered from autoimmune disease, chronic pain, depression, headaches or migraines, irritable bowel, were on antidepressants or anxiolytics, and were work-addicted) and those with eating disorders (who also suffered depression, headaches or migraine, were taking antidepressants or anxiolytics, were work addicted, and had burnout).

  8. A loose portrait of The Aesthetic Surgery respondents can be drawn. Figure 1 depicts the ACEs and health problems of surgeon groups with more than 13 respondents. Half of those respondents whose data are represented (circumscribed by the green box) cited emotional abuse, household mental illness, depression, taking antidepressants, and self-diagnosed burnout (red boxes).

Limitations

This was a brief email survey, known to have inherent limitations.93-95 Our numbers reflect a small (6.43%) percentage of The Aesthetic Society members who chose to respond and may therefore not reflect total membership. Response rates in the other published physician studies vary widely, from 6.8% to 56%.11-14 In all, 9.1% of our respondents refused to indicate the region where they lived (Table 2), suggesting either that these were international members or that, despite our description of anonymous deidentified surveys, some respondents were not reassured. We do not know if those refusals affected our data.

It is possible that some respondents were denying, rationalizing, or minimizing their childhood experiences. This phenomenon has been documented in as many as 20% of respondents to a childhood trauma assay.96,97 People cope with trauma by switching off the tools that they use to interact with their environments: trauma induces walls and inhibits resilience.28 Childhood trauma affects brain structure and function and autobiographical memory.30,46-61,98-101 Minimization, rationalization, denial, and even assuming one's childhood to be normal without basis for comparison may have affected our self-reported data.28,100,101 Children may also blame themselves and therefore discount the adversities they encountered, for example, “It was my fault that my parents divorced,” “I deserved to be beaten,” “My mother said I made her drink.”

The painful final common pathway of childhood trauma is shame, which, aside from its physiological effects, encourages behaviors that are selected for their capacity to medicate the shame.3-9,19-22,30

Precisely because trauma before age 18 is, by definition, inflicted on the developing midbrain before the cortex comes fully on-line, treatment aimed only at the cortex, for example, cognitive behavior therapy, may not access all areas most severely affected. Trauma centers, which direct therapy at the deeper brain areas affected by childhood injuries but become less consciously accessible in adulthood, can ameliorate this limitation.102

Depression and workaholism were self-diagnosed. However, self-diagnosis of depression in the lay public is 75% correct.103 Arguably surgeons should be even more accurate. In addition, our respondents’ reported depression and antidepressant use prevalences correlate (Table 5).

True work addiction is seductive, especially for physicians.102 It is self-reinforcing, triggers euphoria from dopamine release in the limbic system. and can create prestige, income, fame, and a false sense of self-worth.104-106 Therefore, true work addiction differs from working excessively; and without having defined it for the respondents, we cannot be sure what we measured. But the data at the very least indicate that 23% of males and 13% of female surgeons believe they are overworked, regardless of motivation.

The adverse child experiences literature has documented ACE prevalences of 64% in the lay public.2-9 We found prevalences as high as 85% in plastic surgery patients and showed correlations to PTSD, body shame, and chronic dissatisfaction after surgery—many of the characteristics that define body dysmorphic disorder.10,107 These data suggest that some plastic surgeons in The Aesthetic Society share these trauma histories and manifest their protean health and behavioral effects on mind and body.

It is also important to remember that not all adverse experiences are equally traumatic to everyone. Did other respondents face different, unidentified childhood trauma consequences, or did they instead demonstrate resilience or other protective traits that served as antidotes to their adverse experiences?107,108 Researchers now invoke “counter-ACEs,” supportive environments and mentors outside the turbulent family that helped generate resilience.109 We have found exactly that in our patient interactions.107

Why we became surgeons, our adult health, how we behave, how we respond to pressures and crises, what drives us, whether we medicate our unhappiness with addictions or self-harming behaviors, work to validate our self-worth, or burn out is not accidental but shaped in part by our teachers and peers and also by our childhood experiences, good and bad. Medicine in general and plastic surgery in our case lag behind other fields in recognizing the frequency and consequences of adversity in the formative childhood years. We have previously discussed how to recognize the remnants and manifestations of childhood trauma in our patients. We hope that further research in patient groups and in ourselves will guide better patient care and better self-care for those of us who are their providers.

CONCLUSIONS

This paper presents the first published data of adverse childhood experiences in plastic surgeons and also separates individual ACEs and documents their correlations with individual adult health issues. We draw a profile, if accurate, of The Aesthetic Society member childhoods that is sobering—a group of respondents of whom 42% had significant childhood abuse or neglect before age 18, and which by logistic regression predicted the probabilities of many types of adult health and behaviors in a dose-response fashion, and suggests a world for some of our colleagues that is characterized by depression, antidepressants, burnout, and work overload.

Supplemental Material

This article contains supplemental material located online at https://doi.org/10.1093/asj/sjae214.

Acknowledgments

The authors gratefully acknowledge the expert research and technical assistance of Courtney Muehlebach and Charlotte A. Constantian.

Disclosures

The authors declared no potential conflicts of interest with respect to the research, authorship, and publication of this article.

Funding

Dr Constantian received a research grant through The Aesthetic Foundation, also known as The Aesthetic Society Education and Research Foundation (ASERF), for this research in 2021. This funding was utilized to compensate a biostatistician and to apply for IRB exemption, as described in “Methods.” Dr Constantian was not personally compensated. Otherwise, the authors have neither financial interests nor commercial associations to declare in relation to the content of this article.

REFERENCES

1

US Centers for Disease Control and Prevention
. Preventing Child Abuse and Neglect. Accessed May 16, 2024. https://cdc.gov/acers/about/index.html

2

Dong
M
,
Anda
RF
,
Felitti
VJ
, et al.
The interrelatedness of multiple forms of childhood abuse, neglect, and household dysfunction
.
Child Abuse Negl
.
2004
;
28
:
7
:
771
784
. doi:

3

Felitti
VJ
,
Anda
RF.
The lifelong effects of adverse childhood experiences, chapter 10. In:
Chadwick's Child Maltreatment: Sexual Abuse and Psychological Maltreatment
, 4th ed.
STM Leaning
;
2014
:
203
215
.

4

Felitti
VJ
,
Jakstis
K
,
Pepper
V
, et al.
Obesity: problem, solution, or both?
Perm J
.
2010
;
14
:
24
31
. doi:

5

Felitti
VJ
.
Origins of addictive behavior: evidence from a study of stressful childhood experiences
.
Prax Kinderpsychol Kinderpsychiatr
.
2003
;
52
:
1
13
.

6

Felitti
VJ
,
Anda
RF
,
Nordenberg
D
, et al.
Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults
.
Am J Prev Med
.
1998
;
14
:
245
258
. doi:

7

Lanius
RA
,
Vermette
E
,
Pain
C
, eds.
The Impact of Early Life Trauma on Health and Disease: the Hidden Epidemic
.
Cambridge University Press
;
2010
. doi:

8

Nakazawa
DJ.
Childhood Disrupted
.
Atria Press
;
2015
. doi:

9

Constantian
MB.
Childhood Abuse, Body Shame, and Addictive Plastic Surgery: the Face of Trauma
.
Taylor & Francis
;
2019
:
262
286
. doi:

10

Constantian
MB
,
Zaborek
N
.
The prevalence of adverse childhood experiences, body shame, and revision request rate in 218 plastic surgery patients: what drives postoperative dissatisfaction?
Plast Reconstr Surg
.
2021
;
148
:
1233
1246
. doi:

11

Stork
BR
,
Akselberg
NJ
,
Qin
Y
,
Miller
DC
.
Adverse childhood experiences (ACEs) and community physicians: what we’ve learned
.
Perm J
.
2020
;
24
:
19.099
. doi:

12

Williams
BW
,
Welindt
D
,
Hafferty
FW
,
Stumps
A
,
Flanders
P
,
Williams
MV
.
Adverse childhood experiences in trainees and physicians with professionalism lapses: implications for medical education and remediation
.
Acad Med
.
2021
;
96
:
736
743
. doi:

13

Yellowlees
P
,
Coate
L
,
Misquitta
R
,
Wetzel
AE
,
Parish
MB
.
The association between adverse childhood experiences and burnout in a regional sample of physicians
.
Acad Psychiatry
.
2021
;
45
:
159
163
. doi:

14

Trockel
MT
,
West
CP
,
Dyrbye
LN
, et al.
Assessment of adverse childhood experiences, adverse professional experiences, depression, and burnout in US physicians
.
Mayo Clin Proc
.
2023
;
98
:
1785
1796
. doi:

15

Sciolla
AF
,
Wilkes
MS
,
Griffin
EJ
.
Adverse childhood experiences in medical students: implications for wellness
.
Acad Psychiatry
.
2019
;
43
:
369
374
. doi:

16

Courtney Muehlebach, personal communication, email. October, 2023
.

17

Constantian
MB
,
Lin
CP
.
Why some patients are unhappy: part 1. Relationship of preoperative nasal deformity to number of operations and a history of abuse or neglect
.
Plast Reconstr Surg
.
2014
;
134
:
823
835
. doi:

18

Constantian
MB
,
Lin
CP
.
Why some patients are unhappy: part 2. Relationship of nasal shape and trauma history to surgical success
.
Plast Reconstr Surg
.
2014
;
134
:
836
851
. doi:

19

Felitti
VJ
,
Anda
RF.
The relationship of adverse childhood experiences to adult medical disease, psychiatric disorders and sexual behavior: implications for healthcare. In:
Lanius
R
,
Vermetten
E
, ed.
The Hidden Epidemic: the Impact of Early Life Trauma on Health and Disease
.
Cambridge
;
2009
:
2
18
. doi:

20

Felitti
VJ
,
Williams
SA
.
Long-term follow-up and analysis of more than 100 patients who each lost more than 100 pounds
.
Perm J
.
1998
;
2
:
17
21
. doi:

21

Petruccelli
K
,
Davis
J
,
Berman
T
.
Adverse childhood experiences and associated health outcomes: a systematic review and meta-analysis
.
Child Abuse Negl
.
2019
;
97
:
104127
. doi:

22

Felitti
VJ
.
Reverse alchemy in childhood: turning gold into lead
.
Health Alert
.
2001
;
8
:
1
11
. doi:

23

Spinazzola
J
,
Van der Kolk
B
,
Ford
JD
.
When nowhere is safe: interpersonal trauma and attachment adversity as antecedents of posttraumatic stress disorder and developmental trauma disorder
.
J Trauma Stress
.
2018
;
31
:
63
. doi:

24

Zarse
EM
,
Neff
MR
,
Yoder
R
,
Hulvershorn
L
,
Chambers
JE
,
Chambers
RA
.
The adverse childhood experiences questionnaire: two decades of research on childhood trauma as a primary cause of adult mental illness, addiction, and medical diseases
.
Cogent Med
.
2019
;
6
:
1581447
. doi:

25

Dube
SR
,
Felitti
VJ
,
Dong
M
,
Giles
WH
,
Anda
RF
.
The impact of adverse childhood experiences on health problems: evidence from four birth cohorts dating back to 1900
.
Prev Med
.
2003
;
37
:
268
277
. doi:

26

Hemmings
SMJ
,
Lochner
C
,
van der Merwe
L
, et al.
BDNF val66Met modifies the risk of childhood trauma on obsessive-compulsive disorder
.
J Psychiatr Res
.
2013
;
47
:
1857
1863
. doi:

27

Meaney
MJ
.
Maternal care, gene expression, and the transmission of individual differences in stress reactivity across generations
.
Annu Rev Neurosci
.
2001
;
24
:
1161
1192
. doi:

28

Constantian
,
MB.
Childhood Abuse, Body Shame, and Addictive Plastic Surgery
.
Routledge
;
2019
:
195
237
.

29

Levine
PA
.
In an Unspoken Voice
.
North Atlantic Books
;
2010
:
31
72
.

30

van der Kolk
BA
.
The Body Keeps the Score: Brain, Mind, and Body in the Healing of Trauma
.
Viking (Penguin Group)
;
2014
:
51
105
.
ISBN: 978-0-670-78593-3

31

Scaer
RC.
The Body Bears the Burden: Trauma, Dissociation, and Disease
. 3rd ed.
Routledge
;
2014
:
12
13
, 65-65. doi:

32

CDC. Accessed November 13, 2024. https://www.cdc.gov/aces/about/index.html

33

Finkelhor
D
,
Turner
HA
,
Shattuck
A
,
Hamby
SL
.
Violence, crime, and abuse exposure in a national sample of children and youth: an update
.
JAMA Pediatr
.
2013
;
167
:
614
621
. doi:

34

Lanius
RA
,
Vermette
E
,
Pain
C
, eds.
The Impact of Early Life Trauma on Health and Disease: the Hidden Epidemic
.
Cambridge University Press
;
2010
:
2
20
.
ISBN 9780521880268
.

35

Lu
PW
,
Columbus
AB
,
Fields
AC
,
Melnitchouk
N
,
Cho
NL
.
Gender differences in surgeon burnout and barriers to career satisfaction: a qualitative exploration
.
J Surg Res
.
2020
;
247
:
28
33
. doi:

36

Hoff
T
,
Lee
DR
.
Burnout and physician gender: what do we know?
.
Med Care
.
2021
;
59
:
711
720
. doi:

37

LaFaver
K
,
Miyasaki
JM
,
Keran
CM
, et al.
Age and sex differences in burnout, career satisfaction, and well-being in US neurologists
.
Neurology
.
2018
;
91
:
e1928
e1941
. doi:

38

Khansa
I
,
Janis
JE
.
A growing epidemic: plastic surgeons and burnout—a literature review
.
Plast Reconstr Surg
.
2019
;
144
:
298e
305e
. doi:

39

Qureshi
HA
,
Rawlani
R
,
Mioton
LM
,
Dumanian
GA
,
Kim
JYS
,
Rawlani
V
.
Burnout phenomenon in U.S. plastic surgeons: risk factors and impact on quality of life
.
Plast Reconstr Surg
2015
;
135
:
619
626
. doi:

40

Chen
W
,
Schilling
BK
,
Bourne
DA
,
Myers
S
,
De La Cruz
C
.
A report of gender bias and sexual harassment in current plastic surgery training: a national survey
.
Plast Reconstr Surg
.
2021
;
147
:
1454
1468
. doi:

41

Shanafelt
TD
,
Boone
S
,
Tan
L
, et al.
Burnout and satisfaction with work-life balance among US physicians relative to the general US population
.
Arch Intern Med
.
2012
;
172
:
1377
1385
. doi:

42

Streu
R
,
Hansen
J
,
Abrahamse
P
,
Alderman
AK
.
Professional burnout among US plastic surgeons: results of a national survey
.
Ann Plast Surg
.
2014
;
72
:
346
350
. doi:

43

Ortega
MV
,
Hidrue
MK
,
Lehrhoff
SR
, et al.
Patterns in physician burnout in a stable-linked cohort
.
JAMA Netw Open
.
2023
;
6
:
e2336745
. doi:

44

Rotenstein
LS
,
Torre
M
,
Ramos
MA
, et al.
Prevalence of burnout among physicians: a systematic review
.
JAMA
.
2018
;
320
:
1131
1150
. doi:

45

Lanius
R
,
Lanius
U
,
Fisher
J
, et al. Psychological trauma and the brain: toward a neurobiological treatment model. In:
Ogden
P
,
Minton
K
,
Pain
C
, eds.
Trauma and the Body
.
Norton
;
2006
:
141
163
.

46

Dempster
KS
,
O'Leary
DD
,
MacNeil
AJ
,
Hodges
GJ
,
Wade
TJ
.
Linking the hemodynamic consequences of adverse childhood experiences to an altered HPA axis and acute stress response
.
Brain Behav Immun
.
2021
;
93
:
254
263
. doi:

47

Morris
G
,
Berk
M
,
Maes
M
,
Carvalho
AF
,
Puri
BK
.
Socioeconomic deprivation, adverse childhood experiences and medical disorders in adulthood: mechanisms and associations
.
Mol Neurobiol
.
2019
;
56
:
5866
5890
. doi:

48

Finlay
S
,
Roth
C
,
Zimsen
T
,
Bridson
TL
,
Sarnyai
Z
,
McDermott
B
.
Adverse childhood experiences and allostatic load: a systematic review
.
Neurosci Biobehav Rev
.
2022
;
136
:
104605
. doi:

49

Lang
J
,
McKie
J
,
Smith
H
, et al.
Adverse childhood experiences, epigenetics and telomere length variation in childhood and beyond: a systematic review of the literature
.
Eur Child Adolesc Psychiatry
.
2020
;
29
:
1329
1338
. doi:

50

Neves
I
,
Dinis-Oliveira
RJ
,
Magalhães
T
.
Epigenomic mediation after adverse childhood experiences: a systematic review and meta-analysis
.
Forensic Sci Res
.
2021
;
6
:
103
114
. doi:

51

Scorza
P
,
Duarte
CS
,
Lee
S
, et al.
Epigenetic intergenerational transmission: mothers’ adverse childhood experiences and DNA methylation
.
J Am Acad Child Adolesc Psychiatry
.
2020
;
59
:
900
. doi:

52

Hesterman
M
.
The effects of adverse childhood experiences on long-term brain development and health
.
Aisthesis
.
2021
;
12
.

53

Navalta
CP
,
McGee
L
,
Underwood
J
.
Adverse childhood experiences, brain development, and mental health: a call for neurocounseling
.
J Ment Health Couns
.
2018
;
40
:
266
278
. doi:

54

Sheffler
JL
,
Stanley
I
,
Sachs-Ericsson
N.
ACEs and mental health outcomes. In:
Adverse Childhood Experiences
.
Academic Press
;
2020
:
47
69
. doi:

55

Kraaijenvanger
EJ
,
Pollok
TM
,
Monninger
M
, et al.
Impact of early life adversities on human brain functioning: a coordinate-based meta-analysis
.
Neurosci Biobehav Rev
.
2020
;
113
:
62
76
. doi:

56

Sheridan
MA
,
McLaughlin
KA.
Neurodevelopmental mechanisms linking ACEs with psychopathology. In:
Adverse Childhood Experiences
.
Academic Press
;
2020
:
265
285
. doi:

57

Demers
CH
,
Hankin
BL
,
Hennessey
EM
, et al.
Maternal adverse childhood experiences and infant subcortical brain volume
.
Neurobiol Stress
.
2022
;
21
:
10048
. doi:

58

Aguilar
A.
Childhood and trauma: The effects of adverse childhood experiences on the brain, behavior, and learning in the elementary school classroom. 2019 (No DOI—thesis)
.

59

Hawes
DJ
,
Allen
JL
.
A developmental psychopathology perspective on adverse childhood experiences (ACEs): introduction to the special issue
.
Res Child Adolesc Psychopathol
.
2023
;
51
:
1715
1723
. doi:

60

Dolbier
CL
,
Haley
EN
,
Conder
L
,
Guiler
W
.
Adverse childhood experiences and adult psychopathological symptoms: the moderating role of dispositional mindfulness
.
J Context Behav Sci
.
2021
;
21
:
73
79
. doi:

61

Aafjes-van Doorn
K
,
Kamsteeg
C
,
Silberschatz
G
.
Cognitive mediators of the relationship between adverse childhood experiences and adult psychopathology: a systematic review
.
Dev Psychopathol
.
2020
;
32
:
1017
1029
. doi:

62

Macarenco
MM
,
Opariuc-Dan
C
,
Nedelcea
C
.
Adverse childhood experiences, risk factors in the onset of autoimmune diseases in adults: a meta-analysis
.
Prof Psychol Res Pract
.
2022
;
53
:
69
. doi:

63

Molden
EJ.
Adverse childhood experiences and their connection to autoimmune disease in adulthood. 2021 (Honors thesis)
.

64

Heim
C
,
Wagner
D
,
Maloney
E
, et al.
Early adverse experience and risk for chronic fatigue syndrome: results from a population-based study
.
Arch Gen Psychiatry
.
2006
;
63
:
1258
1266
. doi:

65

Heim
C
,
Nater
UM
,
Maloney
E
,
Boneva
R
,
Jones
JF
,
Reeves
WC
.
Childhood trauma and risk for chronic fatigue syndrome: association with neuroendocrine dysfunction
.
Arch Gen Psychiatry
.
2009
;
66
:
72
80
. doi:

66

Craner
JR
,
Lake
ES
,
Barr
AC
,
Kirby
KE
,
O’Neill
M
.
Childhood adversity among adults with chronic pain: prevalence and association with pain-related outcomes
.
Clin J Pain
.
2022
;
38
:
551
561
. doi:

67

Giano
Z
,
Ernst
CW
,
Snider
K
,
Davis
A
,
O'Neil
AM
,
Hubach
RD
.
ACE domains and depression: investigating which specific domains are associated with depression in adulthood
.
Child Abuse Negl
.
2021
;
122
:
105335
. doi:

68

Zisook
S
,
Planeta
B
,
Hicks
PB
, et al.
Childhood adversity and adulthood major depressive disorder
.
Gen Hosp Psychiatry
.
2022
;
76
:
36
44
. doi:

69

Lipsky
RK
,
McDonald
CC
,
Souders
MC
,
Carpio
CC
,
Teitelman
AM
.
Adverse childhood experiences, the serotonergic system, and depressive and anxiety disorders in adulthood: a systematic literature review
.
Neurosci Biobehav Rev
.
2022
;
134
:
104495
. doi:

70

Park
SH
,
Videlock
EJ
,
Shih
W
,
Presson
AP
,
Mayer
EA
,
Chang
L
.
Adverse childhood experiences are associated with irritable bowel syndrome and gastrointestinal symptom severity
.
Neurogastroenterol Motil
.
2016
;
28
:
1252
1260
. doi:

71

Joshee
S
,
Lim
L
,
Wybrecht
A
,
Berriesford
R
,
Riddle
M
.
Meta-analysis and systematic review of the association between adverse childhood events and irritable bowel syndrome
.
J Investig Med
.
2022
;
70
:
1342
1351
. doi:

72

Gloger
S
,
Martínez
P
,
Behn
A
, et al.
Population-attributable risk of adverse childhood experiences for high suicide risk, psychiatric admissions, and recurrent depression, in depressed outpatients
.
Eur J Psychotraumatol
.
2021
;
12
:
1874600
. doi:

73

Gill
H
,
El-Halabi
S
,
Majeed
A
, et al.
The association between adverse childhood experiences and inflammation in patients with major depressive disorder: a systematic review
.
J Affect Disord
.
2020
;
272
:
1
7
. doi:

74

Novais
M
,
Henriques
T
,
Vidal-Alves
MJ
,
Magalhães
T
.
When problems only get bigger: the impact of adverse childhood experience on adult health
.
Front Psychol
.
2021
;
12
:
693420
. doi:

75

Daníelsdóttir
HB
,
Aspelund
T
,
Shen
Q
, et al.
Adverse childhood experiences and adult mental health outcomes
.
JAMA Psychiatry
.
2024
;
81
:
586
594
. doi:

76

Loudermilk
E
,
Loudermilk
K
,
Obenauer
J
,
Quinn
MA
.
Impact of adverse childhood experiences (ACEs) on adult alcohol consumption behaviors
.
Child Abuse Negl
.
2018
;
86
:
368
374
. doi:

77

Alvanzo
AA
,
Storr
CL
,
Reboussin
B
, et al.
Adverse childhood experiences (ACEs) and transitions in stages of alcohol involvement among US adults: progression and regression
.
Child Abuse Negl
.
2020
;
107
:
104624
. doi:

78

Dube
SR
,
Anda
RF
,
Felitti
VJ
,
Edwards
VJ
,
Croft
JB
.
Adverse childhood experiences and personal alcohol abuse as an adult
.
Addict Behav
.
2002
;
27
:
713
725
. doi:

79

Hillis
SD
,
Anda
RF
,
Felitti
VJ
,
Marchbanks
PA
.
Adverse childhood experiences and sexual risk behaviors in females: a retrospective cohort study
.
Fam Plann Perspect
.
2001
;
33
:
206
211
. doi:

80

Giordano
AL
,
Hedden
LE
,
Kim
SW
,
Lundeen
LA
,
Lu
Z
.
Childhood trauma and sex addiction among adult men
.
J Addict Offender Couns
.
2024
;
45
(
2
):
221
233
. doi:

81

Karl
S
.
The intersection of childhood trauma and addiction
.
Couns Today
.
2021
;
63
.

82

Guillaume
S
,
Jaussent
I
,
Maïmoun
L
, et al.
Associations between adverse childhood experiences and clinical characteristics of eating disorders
.
Sci Rep
.
2016
;
6
:
35761
. doi:

83

Rienecke
RD
,
Johnson
C
,
Le Grange
D
, et al.
Adverse childhood experiences among adults with eating disorders: comparison to a nationally representative sample and identification of trauma profiles
.
J Eat Disord
.
2022
;
10
:
72
. doi:

84

Schaefer
LM
,
Burke
NL
,
Calogero
RM
,
Menzel
JE
,
Krawczyk
R
,
Thompson
JK
.
Self-objectification, body shame, and disordered eating: testing a core mediational model of objectification theory among white, black, and Hispanic females
.
Body Image
.
2018
;
24
:
5
12
. doi:

85

Brewerton
TD
.
Mechanisms by which adverse childhood experiences, other traumas and PTSD influence the health and well-being of individuals with eating disorders throughout the life span
.
J Eat Disord
.
2022
;
10
:
162
. doi:

86

Kotera
Y
,
Rhodes
C
.
Pathways to sex addiction: relationships with adverse childhood experience, attachment, narcissism, self-compassion and motivation in a gender-balanced sample
.
Sex Addict Compuls
.
2019
;
26
:
54
76
. doi:

87

Merrick
MT
,
Ports
KA
,
Ford
DC
,
Afifi
TO
,
Gershoff
ET
,
Grogan-Kaylor
A
.
Unpacking the impact of adverse childhood experiences on adult mental health
.
Child Abuse Negl
.
2017
;
69
:
10
19
. doi:

88

Brown
SM
,
Rienks
S
,
McCrae
JS
,
Watamura
SE
.
The co-occurrence of adverse childhood experiences among children investigated for child maltreatment: a latent class analysis
.
Child Abuse Negl
.
2019
;
87
:
18
27
. doi:

89

Campbell
JA
,
Mosley-Johnson
E
,
Garacci
E
,
Walker
RJ
,
Egede
LE
.
The co-occurrence of diabetes and adverse childhood experiences and its impact on mortality in US adults
.
J Affect Disord
.
2019
;
249
:
20
25
. doi:

90

Lensch
T
,
Clements-Nolle
K
,
Oman
RF
,
Evans
WP
,
Lu
M
,
Yang
W
.
Adverse childhood experiences and co-occurring psychological distress and substance abuse among juvenile offenders: the role of protective factors
.
Public Health
.
2021
;
194
:
42
47
. doi:

91

Xiao
W
,
Rong
F
,
Li
S
, et al.
Co-occurrence patterns of adverse childhood experiences and their associations with non-suicidal self-injury and suicidal behaviors and gender difference among middle school students: a three-city survey in China
.
J Affect Disord
.
2023
;
320
:
140
147
. doi:

92

Lacey
RE
,
Howe
LD
,
Kelly-Irving
M
,
Bartley
M
,
Kelly
Y
.
The clustering of adverse childhood experiences in the Avon longitudinal study of parents and children: are gender and poverty important?
J Interpers Violence
.
2022
;
37
:
2218
2241
. doi:

93

Chang
TZ
,
Vowles
N
.
Strategies for improving data reliability for online surveys: a case study
.
Int J Electron Commer Stud
.
2013
;
4
:
121
130
. doi:

94

Braithwaite
D
,
Emery
J
,
De Lusignan
S
,
Sutton
S
.
Using the internet to conduct surveys of health professionals: a valid alternative?
Fam Pract
.
2003
;
20
:
545
551
. doi:

95

Tourangeau
R
.
Survey reliability: models, methods, and findings
.
J Surv Stat Methodol
.
2021
;
9
:
961
991
. doi:

96

MacDonald
K
,
Thomas
ML
,
MacDonald
TM
,
Sciolla
AF
.
A perfect childhood? Clinical correlates of minimization and denial on the childhood trauma questionnaire
.
J Interpers Violence
.
2015
;
30
:
988
1009
. doi:

97

MacDonald
K
,
Thomas
ML
,
Sciolla
AF
, et al.
Minimization of childhood maltreatment is common and consequential: results from a large, multinational sample using the childhood trauma questionnaire
.
PLoS One
.
2016
;
11
:
e0146058
. doi:

98

van der Kolk
BA
.
The Body Keeps the Score: Brain, Mind, and Body in the Healing of Trauma
.
Viking (Penguin Group)
;
2014
:
171
183
,
220-229, 246-7. ISBN: 978-0-670-78593-3
.

99

der Kolk
B
,
van der Hart
O
,
Marmar
CR.
Dissociation and information processing in posttraumatic stress disorder. In:
van der Kolk
B
,
McFarlane
AC
,
Weisaeth
L
, eds.
Traumatic Stress
.
Guilford Press
;
2007
:
282
296
.

100

Scaer
RC
.
The neurophysiology of dissociation and chronic disease
.
Appl Psychophysiol Biof
.
2001
;
26
:
73
91
. doi:

101

Brown
DW
,
Anda
RF
,
Edwards
VJ
, et al.
Adverse childhood experiences and childhood autobiographical memory disturbance
.
Child Abuse Negl
.
2007
;
31
:
961
969
. doi:

102

Constantian
MB.
Childhood Abuse, Body Shame, and Addictive Plastic Surgery: the Face of Trauma
.
Taylor & Francis
;
2019
:
181
183
.

103

Sanchez-Villegas
A
,
Schlatter
J
,
Ortuno
F
, et al.
Validity of a self-reported diagnosis of depression among participants in a cohort study using the structured clinical interview for DSM-IV (SCID-I)
.
BMC Psychiatry
.
2008
;
8
:
1
8
. doi:

104

Killinger
B.
Workaholics: the Respectable Addicts
.
Firefly Books
;
1991
.

105

Robinson
BE.
Chained to the Desk: A Guidebook for Workaholics, Their Partners and Children, and the Clinicians who Treat Them
.
New York University Press
;
1998
.

106

Griffiths
MD
,
Demetrovics
Z
,
Atroszko
PA
.
Ten myths about work addiction
.
J Behav Addict
.
2018
;
7
:
845
857
. doi:

107

Constantian
MB.
Childhood Abuse, Body Shame, and Addictive Plastic Surgery: the Face of Trauma
.
Taylor & Francis
;
2019
:
237
259
.

108

Southwick
SM
,
Charney
DS.
Resilience: the Science of Mastering Life's Great Challenges
.
Cambridge University Press
;
2018
. doi:

109

Crandall
A
,
Miller
JR
,
Cheung
A
, et al.
ACEs and counter-ACEs: how positive and negative childhood experiences influence adult health
.
Child Abuse Negl
.
2019
;
96
:
104089
. doi:

Author notes

Dr Constantian is a clinical professor of surgery, Department of Surgery, Division of Plastic Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Mr Zaborek is a biostatistician, Department of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights)

Supplementary data