Table 3

Moderating effect of serving as a state functionary on the relation between occupational status and depression among middle-aged and older participants and subgroups.a

SubgroupsCharacteristicsISEISIOPSEGP
  Coef.SE95% CICoef.SE95% CICoef.SE95% CI
All participants (n = 28 645)ISEI−0.03***0.004(−0.04 to −0.03)
SIOPS−0.02**0.01(−0.03 to −0.004)
EGP0.12***0.02(0.09 to 0.16)
State functionary−3.10***0.73(−4.53 to −1.67)−2.90***0.78(−4.43 to −1.36)0.610.41(−0.18 to 1.41)
ISEI × state functionary0.06***0.01(0.03 to 0.08)
SIOPS × state functionary0.05**0.02(0.02 to 0.08)
EGP × state functionary−0.25**0.07(−0.39 to −0.11)
Within R2  b0.19570.19450.1956
Subgroup 1: Not receiving an education (n = 9676)ISEI−0.04***0.02(−0.07 to −0.01)
SIOPS−0.0030.01(−0.03 to 0.03)
EGP0.090.05(−0.002 to 0.18)
State functionary−2.075.93(−13.69 to 9.55)−2.325.84(−13.77 to 9.13)−1.994.02(−9.86 to 5.89)
ISEI × state functionary−0.0020.13(−0.26 to 0.25)
SIOPS × state functionary−0.010.13(−0.26 to 0.24)
EGP × state functionary−0.070.65(−1.34 to 1.20)
Within R2  b0.19570.19450.1956
Subgroup 2: Educated (n = 18 969)ISEI−0.04***0.004(−0.05 to −0.03)
SIOPS−0.02***0.01(−0.03 to −0.01)
EGP0.14***0.02(0.11 to 0.18)
State functionary−3.21***0.70(−4.59 to −1.84)−3.03***0.76(−4.51 to −1.55)0.490.39(−0.20 to 1.19)
ISEI × state functionary0.06***0.01(0.03 to 0.08)
SIOPS × state functionary0.05**0.02(0.02 to 0.08)
EGP × state functionary−0.25***0.07(−0.38 to −0.12)
Within R2  b0.17860.17680.1787
Subgroup 3: Urban (n = 11 249)ISEI−0.04***0.01(−0.05 to −0.03)
SIOPS−0.02*0.01(−0.03 to −0.003)
EGP0.14***0.02(0.10 to 0.19)
State functionary−3.34**0.76(−4.84 to −1.84)−3.07***0.83(−4.70 to −1.44)0.820.44(−0.04 to 1.67)
ISEI × state functionary0.06***0.01(0.03 to 0.09)
SIOPS × state functionary0.06**0.02(0.02 to 0.09)
EGP × state functionary−0.28***0.08(−0.43 to −0.13)
Within R2  b0.17720.17460.1771
Subgroup 4: Rural (n = 17 396)ISEI−0.03***0.01(−0.05 to −0.02)
SIOPS−0.010.01(−0.03 to 0.004)
EGP0.11***0.03(0.05 to 0.16)
State functionary−3.181.92(−6.95 to 0.58)−2.941.94(−6.75 to 0.87)0.0030.93(−1.82 to 1.82)
ISEI × state functionary0.050.03(−0.02 to 0.12)
SIOPS × state functionary0.040.04(−0.04 to 0.11)
EGP × state functionary−0.210.19(−0.59 to 0.16)
Within R2  b0.19430.19370.1943
SubgroupsCharacteristicsISEISIOPSEGP
  Coef.SE95% CICoef.SE95% CICoef.SE95% CI
All participants (n = 28 645)ISEI−0.03***0.004(−0.04 to −0.03)
SIOPS−0.02**0.01(−0.03 to −0.004)
EGP0.12***0.02(0.09 to 0.16)
State functionary−3.10***0.73(−4.53 to −1.67)−2.90***0.78(−4.43 to −1.36)0.610.41(−0.18 to 1.41)
ISEI × state functionary0.06***0.01(0.03 to 0.08)
SIOPS × state functionary0.05**0.02(0.02 to 0.08)
EGP × state functionary−0.25**0.07(−0.39 to −0.11)
Within R2  b0.19570.19450.1956
Subgroup 1: Not receiving an education (n = 9676)ISEI−0.04***0.02(−0.07 to −0.01)
SIOPS−0.0030.01(−0.03 to 0.03)
EGP0.090.05(−0.002 to 0.18)
State functionary−2.075.93(−13.69 to 9.55)−2.325.84(−13.77 to 9.13)−1.994.02(−9.86 to 5.89)
ISEI × state functionary−0.0020.13(−0.26 to 0.25)
SIOPS × state functionary−0.010.13(−0.26 to 0.24)
EGP × state functionary−0.070.65(−1.34 to 1.20)
Within R2  b0.19570.19450.1956
Subgroup 2: Educated (n = 18 969)ISEI−0.04***0.004(−0.05 to −0.03)
SIOPS−0.02***0.01(−0.03 to −0.01)
EGP0.14***0.02(0.11 to 0.18)
State functionary−3.21***0.70(−4.59 to −1.84)−3.03***0.76(−4.51 to −1.55)0.490.39(−0.20 to 1.19)
ISEI × state functionary0.06***0.01(0.03 to 0.08)
SIOPS × state functionary0.05**0.02(0.02 to 0.08)
EGP × state functionary−0.25***0.07(−0.38 to −0.12)
Within R2  b0.17860.17680.1787
Subgroup 3: Urban (n = 11 249)ISEI−0.04***0.01(−0.05 to −0.03)
SIOPS−0.02*0.01(−0.03 to −0.003)
EGP0.14***0.02(0.10 to 0.19)
State functionary−3.34**0.76(−4.84 to −1.84)−3.07***0.83(−4.70 to −1.44)0.820.44(−0.04 to 1.67)
ISEI × state functionary0.06***0.01(0.03 to 0.09)
SIOPS × state functionary0.06**0.02(0.02 to 0.09)
EGP × state functionary−0.28***0.08(−0.43 to −0.13)
Within R2  b0.17720.17460.1771
Subgroup 4: Rural (n = 17 396)ISEI−0.03***0.01(−0.05 to −0.02)
SIOPS−0.010.01(−0.03 to 0.004)
EGP0.11***0.03(0.05 to 0.16)
State functionary−3.181.92(−6.95 to 0.58)−2.941.94(−6.75 to 0.87)0.0030.93(−1.82 to 1.82)
ISEI × state functionary0.050.03(−0.02 to 0.12)
SIOPS × state functionary0.040.04(−0.04 to 0.11)
EGP × state functionary−0.210.19(−0.59 to 0.16)
Within R2  b0.19430.19370.1943

Abbreviations: Coef., coefficient; EGP, Erikson and Goldthorpe class categories; ISEI, International Socioeconomic Index of Occupational Status; SIOPS, Standard International Occupational Prestige Scale.

a

The year fixed-effect model was used and covariates were controlled. ISEI, SIOPS, and EGP were used to represent occupational status. When testing regression results in each subgroup, grouping variables were excluded as covariates. *P < .05, **P < .01, ***P < .001.

b

In this study we take fixed effects into account in the model, so we report within R-square.

Table 3

Moderating effect of serving as a state functionary on the relation between occupational status and depression among middle-aged and older participants and subgroups.a

SubgroupsCharacteristicsISEISIOPSEGP
  Coef.SE95% CICoef.SE95% CICoef.SE95% CI
All participants (n = 28 645)ISEI−0.03***0.004(−0.04 to −0.03)
SIOPS−0.02**0.01(−0.03 to −0.004)
EGP0.12***0.02(0.09 to 0.16)
State functionary−3.10***0.73(−4.53 to −1.67)−2.90***0.78(−4.43 to −1.36)0.610.41(−0.18 to 1.41)
ISEI × state functionary0.06***0.01(0.03 to 0.08)
SIOPS × state functionary0.05**0.02(0.02 to 0.08)
EGP × state functionary−0.25**0.07(−0.39 to −0.11)
Within R2  b0.19570.19450.1956
Subgroup 1: Not receiving an education (n = 9676)ISEI−0.04***0.02(−0.07 to −0.01)
SIOPS−0.0030.01(−0.03 to 0.03)
EGP0.090.05(−0.002 to 0.18)
State functionary−2.075.93(−13.69 to 9.55)−2.325.84(−13.77 to 9.13)−1.994.02(−9.86 to 5.89)
ISEI × state functionary−0.0020.13(−0.26 to 0.25)
SIOPS × state functionary−0.010.13(−0.26 to 0.24)
EGP × state functionary−0.070.65(−1.34 to 1.20)
Within R2  b0.19570.19450.1956
Subgroup 2: Educated (n = 18 969)ISEI−0.04***0.004(−0.05 to −0.03)
SIOPS−0.02***0.01(−0.03 to −0.01)
EGP0.14***0.02(0.11 to 0.18)
State functionary−3.21***0.70(−4.59 to −1.84)−3.03***0.76(−4.51 to −1.55)0.490.39(−0.20 to 1.19)
ISEI × state functionary0.06***0.01(0.03 to 0.08)
SIOPS × state functionary0.05**0.02(0.02 to 0.08)
EGP × state functionary−0.25***0.07(−0.38 to −0.12)
Within R2  b0.17860.17680.1787
Subgroup 3: Urban (n = 11 249)ISEI−0.04***0.01(−0.05 to −0.03)
SIOPS−0.02*0.01(−0.03 to −0.003)
EGP0.14***0.02(0.10 to 0.19)
State functionary−3.34**0.76(−4.84 to −1.84)−3.07***0.83(−4.70 to −1.44)0.820.44(−0.04 to 1.67)
ISEI × state functionary0.06***0.01(0.03 to 0.09)
SIOPS × state functionary0.06**0.02(0.02 to 0.09)
EGP × state functionary−0.28***0.08(−0.43 to −0.13)
Within R2  b0.17720.17460.1771
Subgroup 4: Rural (n = 17 396)ISEI−0.03***0.01(−0.05 to −0.02)
SIOPS−0.010.01(−0.03 to 0.004)
EGP0.11***0.03(0.05 to 0.16)
State functionary−3.181.92(−6.95 to 0.58)−2.941.94(−6.75 to 0.87)0.0030.93(−1.82 to 1.82)
ISEI × state functionary0.050.03(−0.02 to 0.12)
SIOPS × state functionary0.040.04(−0.04 to 0.11)
EGP × state functionary−0.210.19(−0.59 to 0.16)
Within R2  b0.19430.19370.1943
SubgroupsCharacteristicsISEISIOPSEGP
  Coef.SE95% CICoef.SE95% CICoef.SE95% CI
All participants (n = 28 645)ISEI−0.03***0.004(−0.04 to −0.03)
SIOPS−0.02**0.01(−0.03 to −0.004)
EGP0.12***0.02(0.09 to 0.16)
State functionary−3.10***0.73(−4.53 to −1.67)−2.90***0.78(−4.43 to −1.36)0.610.41(−0.18 to 1.41)
ISEI × state functionary0.06***0.01(0.03 to 0.08)
SIOPS × state functionary0.05**0.02(0.02 to 0.08)
EGP × state functionary−0.25**0.07(−0.39 to −0.11)
Within R2  b0.19570.19450.1956
Subgroup 1: Not receiving an education (n = 9676)ISEI−0.04***0.02(−0.07 to −0.01)
SIOPS−0.0030.01(−0.03 to 0.03)
EGP0.090.05(−0.002 to 0.18)
State functionary−2.075.93(−13.69 to 9.55)−2.325.84(−13.77 to 9.13)−1.994.02(−9.86 to 5.89)
ISEI × state functionary−0.0020.13(−0.26 to 0.25)
SIOPS × state functionary−0.010.13(−0.26 to 0.24)
EGP × state functionary−0.070.65(−1.34 to 1.20)
Within R2  b0.19570.19450.1956
Subgroup 2: Educated (n = 18 969)ISEI−0.04***0.004(−0.05 to −0.03)
SIOPS−0.02***0.01(−0.03 to −0.01)
EGP0.14***0.02(0.11 to 0.18)
State functionary−3.21***0.70(−4.59 to −1.84)−3.03***0.76(−4.51 to −1.55)0.490.39(−0.20 to 1.19)
ISEI × state functionary0.06***0.01(0.03 to 0.08)
SIOPS × state functionary0.05**0.02(0.02 to 0.08)
EGP × state functionary−0.25***0.07(−0.38 to −0.12)
Within R2  b0.17860.17680.1787
Subgroup 3: Urban (n = 11 249)ISEI−0.04***0.01(−0.05 to −0.03)
SIOPS−0.02*0.01(−0.03 to −0.003)
EGP0.14***0.02(0.10 to 0.19)
State functionary−3.34**0.76(−4.84 to −1.84)−3.07***0.83(−4.70 to −1.44)0.820.44(−0.04 to 1.67)
ISEI × state functionary0.06***0.01(0.03 to 0.09)
SIOPS × state functionary0.06**0.02(0.02 to 0.09)
EGP × state functionary−0.28***0.08(−0.43 to −0.13)
Within R2  b0.17720.17460.1771
Subgroup 4: Rural (n = 17 396)ISEI−0.03***0.01(−0.05 to −0.02)
SIOPS−0.010.01(−0.03 to 0.004)
EGP0.11***0.03(0.05 to 0.16)
State functionary−3.181.92(−6.95 to 0.58)−2.941.94(−6.75 to 0.87)0.0030.93(−1.82 to 1.82)
ISEI × state functionary0.050.03(−0.02 to 0.12)
SIOPS × state functionary0.040.04(−0.04 to 0.11)
EGP × state functionary−0.210.19(−0.59 to 0.16)
Within R2  b0.19430.19370.1943

Abbreviations: Coef., coefficient; EGP, Erikson and Goldthorpe class categories; ISEI, International Socioeconomic Index of Occupational Status; SIOPS, Standard International Occupational Prestige Scale.

a

The year fixed-effect model was used and covariates were controlled. ISEI, SIOPS, and EGP were used to represent occupational status. When testing regression results in each subgroup, grouping variables were excluded as covariates. *P < .05, **P < .01, ***P < .001.

b

In this study we take fixed effects into account in the model, so we report within R-square.

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