Table 3:

Logistic regression analyses of health services access for lower and higher SES

Lower SESHigher SES
OR95% CI for ORp-valueOR95% CI for ORp-value
Disruption with any health service providera
Days under lockdownb1.191.051.340.007*1.191.131.25<0.001*
Long-term health conditions (ref = none)1.491.002.240.0521.541.331.78<0.001*
PCS scorec1.171.011.360.038*1.071.001.140.041*
MCS scored1.161.041.300.008*1.121.071.18<0.001*
Disruption with general medical servicesa
Days under lockdownb0.940.821.090.4291.081.011.140.016*
Long-term health conditions (ref = none)1.631.052.530.030*1.471.241.75<0.001*
PCS scorec1.311.111.540.001*1.241.141.34<0.001*
MCS scored1.181.031.360.019*1.251.181.34<0.001*
Disruption with dental servicesa
Days under lockdownb1.211.041.410.015*1.141.081.20<0.001*
Long-term health conditions (ref = none)1.240.791.930.3491.150.971.360.111
PCS scorec0.900.751.070.2380.910.840.990.021*
MCS scored1.060.901.240.4870.980.921.050.541
Disruption with mental health providersa
Days under lockdownb1.331.061.670.015*1.070.941.210.319
Long-term health conditions (ref = none)1.870.864.040.1132.711.923.84<0.001*
PCS scorec1.240.891.740.2011.000.851.180.996
MCS scored1.861.382.51<0.001*1.841.632.09<0.001*
Disruption with allied health providersa
Days under lockdownb1.431.221.68<0.001*1.291.201.40<0.001*
Long-term health conditions (ref = none)1.591.012.520.048*1.621.331.96<0.001*
PCS scorec1.241.031.490.023*1.281.181.39<0.001*
MCS scored1.120.941.330.1971.080.991.180.074
Lower SESHigher SES
OR95% CI for ORp-valueOR95% CI for ORp-value
Disruption with any health service providera
Days under lockdownb1.191.051.340.007*1.191.131.25<0.001*
Long-term health conditions (ref = none)1.491.002.240.0521.541.331.78<0.001*
PCS scorec1.171.011.360.038*1.071.001.140.041*
MCS scored1.161.041.300.008*1.121.071.18<0.001*
Disruption with general medical servicesa
Days under lockdownb0.940.821.090.4291.081.011.140.016*
Long-term health conditions (ref = none)1.631.052.530.030*1.471.241.75<0.001*
PCS scorec1.311.111.540.001*1.241.141.34<0.001*
MCS scored1.181.031.360.019*1.251.181.34<0.001*
Disruption with dental servicesa
Days under lockdownb1.211.041.410.015*1.141.081.20<0.001*
Long-term health conditions (ref = none)1.240.791.930.3491.150.971.360.111
PCS scorec0.900.751.070.2380.910.840.990.021*
MCS scored1.060.901.240.4870.980.921.050.541
Disruption with mental health providersa
Days under lockdownb1.331.061.670.015*1.070.941.210.319
Long-term health conditions (ref = none)1.870.864.040.1132.711.923.84<0.001*
PCS scorec1.240.891.740.2011.000.851.180.996
MCS scored1.861.382.51<0.001*1.841.632.09<0.001*
Disruption with allied health providersa
Days under lockdownb1.431.221.68<0.001*1.291.201.40<0.001*
Long-term health conditions (ref = none)1.591.012.520.048*1.621.331.96<0.001*
PCS scorec1.241.031.490.023*1.281.181.39<0.001*
MCS scored1.120.941.330.1971.080.991.180.074

*p < 0.05.

aLogistic regression models for SES domains/subpopulations (lower SES and higher SES) included length of lockdown, age, sex, household type, marital status, highest education achieved, employment, long-term health conditions, PCS score and MCS score. Covariates included in the model (except for length of lockdown) were obtained from wave 19 (pre-pandemic). Full logistic regression models for the effect of each variable included in the model are presented in Supplementary Table S2.

bIncremental increase of 30 additional days of lockdown.

cIncremental decrease of 1 SD in PCS score (1 SD = 10.69).

dIncremental decrease of 1 SD in MCS score (1 SD = 11.33).

Abbreviations: CI = confidence interval; MCS = Mental Component Summary; OR = odds ratio (adjusted); PCS = Physical Component Summary; ref = reference group; SD = standard deviation; SES = socio-economic status.

Table 3:

Logistic regression analyses of health services access for lower and higher SES

Lower SESHigher SES
OR95% CI for ORp-valueOR95% CI for ORp-value
Disruption with any health service providera
Days under lockdownb1.191.051.340.007*1.191.131.25<0.001*
Long-term health conditions (ref = none)1.491.002.240.0521.541.331.78<0.001*
PCS scorec1.171.011.360.038*1.071.001.140.041*
MCS scored1.161.041.300.008*1.121.071.18<0.001*
Disruption with general medical servicesa
Days under lockdownb0.940.821.090.4291.081.011.140.016*
Long-term health conditions (ref = none)1.631.052.530.030*1.471.241.75<0.001*
PCS scorec1.311.111.540.001*1.241.141.34<0.001*
MCS scored1.181.031.360.019*1.251.181.34<0.001*
Disruption with dental servicesa
Days under lockdownb1.211.041.410.015*1.141.081.20<0.001*
Long-term health conditions (ref = none)1.240.791.930.3491.150.971.360.111
PCS scorec0.900.751.070.2380.910.840.990.021*
MCS scored1.060.901.240.4870.980.921.050.541
Disruption with mental health providersa
Days under lockdownb1.331.061.670.015*1.070.941.210.319
Long-term health conditions (ref = none)1.870.864.040.1132.711.923.84<0.001*
PCS scorec1.240.891.740.2011.000.851.180.996
MCS scored1.861.382.51<0.001*1.841.632.09<0.001*
Disruption with allied health providersa
Days under lockdownb1.431.221.68<0.001*1.291.201.40<0.001*
Long-term health conditions (ref = none)1.591.012.520.048*1.621.331.96<0.001*
PCS scorec1.241.031.490.023*1.281.181.39<0.001*
MCS scored1.120.941.330.1971.080.991.180.074
Lower SESHigher SES
OR95% CI for ORp-valueOR95% CI for ORp-value
Disruption with any health service providera
Days under lockdownb1.191.051.340.007*1.191.131.25<0.001*
Long-term health conditions (ref = none)1.491.002.240.0521.541.331.78<0.001*
PCS scorec1.171.011.360.038*1.071.001.140.041*
MCS scored1.161.041.300.008*1.121.071.18<0.001*
Disruption with general medical servicesa
Days under lockdownb0.940.821.090.4291.081.011.140.016*
Long-term health conditions (ref = none)1.631.052.530.030*1.471.241.75<0.001*
PCS scorec1.311.111.540.001*1.241.141.34<0.001*
MCS scored1.181.031.360.019*1.251.181.34<0.001*
Disruption with dental servicesa
Days under lockdownb1.211.041.410.015*1.141.081.20<0.001*
Long-term health conditions (ref = none)1.240.791.930.3491.150.971.360.111
PCS scorec0.900.751.070.2380.910.840.990.021*
MCS scored1.060.901.240.4870.980.921.050.541
Disruption with mental health providersa
Days under lockdownb1.331.061.670.015*1.070.941.210.319
Long-term health conditions (ref = none)1.870.864.040.1132.711.923.84<0.001*
PCS scorec1.240.891.740.2011.000.851.180.996
MCS scored1.861.382.51<0.001*1.841.632.09<0.001*
Disruption with allied health providersa
Days under lockdownb1.431.221.68<0.001*1.291.201.40<0.001*
Long-term health conditions (ref = none)1.591.012.520.048*1.621.331.96<0.001*
PCS scorec1.241.031.490.023*1.281.181.39<0.001*
MCS scored1.120.941.330.1971.080.991.180.074

*p < 0.05.

aLogistic regression models for SES domains/subpopulations (lower SES and higher SES) included length of lockdown, age, sex, household type, marital status, highest education achieved, employment, long-term health conditions, PCS score and MCS score. Covariates included in the model (except for length of lockdown) were obtained from wave 19 (pre-pandemic). Full logistic regression models for the effect of each variable included in the model are presented in Supplementary Table S2.

bIncremental increase of 30 additional days of lockdown.

cIncremental decrease of 1 SD in PCS score (1 SD = 10.69).

dIncremental decrease of 1 SD in MCS score (1 SD = 11.33).

Abbreviations: CI = confidence interval; MCS = Mental Component Summary; OR = odds ratio (adjusted); PCS = Physical Component Summary; ref = reference group; SD = standard deviation; SES = socio-economic status.

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