Table 4.
Negative binomial regression, predicting counts of COVID-19 stressful life events domains by the indicated sociodemographic factors, adjusted for covariates.
IRR | 95% CI | sig | IRR | 95% CI | sig | |
---|---|---|---|---|---|---|
Outcomes: COVID-19 related stressful life events | ||||||
| ||||||
1. Work/financial events | ||||||
| ||||||
Covariates: | ||||||
Household size | 1.030 | 0.965, 1.099 | .380 | 1.065 | 0.999, 1.135 | .054 |
Community COVID-19 risk | 1.029 | 0.943, 1.122 | .526 | 1.019 | 0.937, 1.109 | .658 |
Sociodemographic predictors: | ||||||
Female gender=1 (vs. male=0) | 1.312 | 1.101, 1.562 | .002 | 1.293 | 1.091, 1.531 | .003 |
Minority status=1 (vs. white, non-Hispanic=0) | 1.176 | 0.960, 1.442 | .118 | 1.187 | 0.976, 1.443 | .086 |
SES composite (education/income) | 0.869 | 0.789, 0.958 | .005 | 0.931 | 0.845, 1.027 | .153 |
Wealth | - | - | - | 0.833 | 0.767, 0.905 | .000 |
| ||||||
2. Home disruption events | ||||||
| ||||||
Covariates: | ||||||
Household size | 1.157 | 1.079, 1.240 | .000 | 1.174 | 1.092, 1.261 | .000 |
Community COVID-19 risk | 1.108 | 1.011, 1.216 | .029 | 1.103 | 1.006, 1.210 | .037 |
Sociodemographic predictors: | ||||||
Female gender=1 (vs. male=0) | 1.639 | 1.356, 1.980 | .000 | 1.631 | 1.351, 1.970 | .000 |
Minority status=1 (vs. white, non-Hispanic=0) | 1.015 | 0.813, 1.267 | .893 | 1.016 | 0.815, 1.268 | .886 |
SES composite (education/income) | 0.845 | 0.761, 0.938 | .002 | 0.870 | 0.780, 0.969 | .012 |
Wealth | - | - | - | 0.922 | 0.840, 1.011 | .085 |
| ||||||
3. Social isolation events | ||||||
| ||||||
Covariates: | ||||||
Household size | 1.015 | 0.976, 1.056 | .444 | 1.016 | 0.976, 1.058 | .436 |
Community COVID-19 risk | 1.040 | 0.992, 1.091 | .104 | 1.040 | 0.992, 1.091 | .106 |
Sociodemographic predictors: | ||||||
Female gender=1 (vs. male=0) | 1.126 | 1.021, 1.241 | .017 | 1.125 | 1.021, 1.240 | .018 |
Minority status=1 (vs. white, non-Hispanic=0) | 1.007 | 0.891, 1.138 | .909 | 1.007 | 0.891, 1.138 | .913 |
SES composite (education/income) | 1.101 | 1.043, 1.163 | .000 | 1.103 | 1.042, 1.166 | .001 |
Wealth | - | - | - | 0.996 | 0.947, 1.048 | .881 |
| ||||||
4. COVID-19 infection events | ||||||
| ||||||
Covariates: | ||||||
Household size | 0.996 | 0.883, 1.125 | .952 | 1.032 | 0.915, 1.165 | .607 |
Community COVID-19 risk | 1.252 | 1.087, 1.442 | .002 | 1.243 | 1.081, 1.430 | .002 |
Sociodemographic predictors: | ||||||
Female gender=1 (vs. male=0) | 0.828 | 0.615, 1.113 | .211 | 0.816 | 0.608, 1.095 | .175 |
Minority status=1 (vs. white, non-Hispanic=0) | 0.987 | 0.680, 1.434 | .946 | 0.972 | 0.672, 1.405 | .880 |
SES composite (education/income) | 0.976 | 0.825, 1.155 | .781 | 1.038 | 0.874, 1.232 | .671 |
Wealth | - | - | - | 0.839 | 0.721, 0.976 | .023 |
| ||||||
5. Healthcare barrier events | ||||||
| ||||||
Covariates: | ||||||
Household size | 1.031 | 0.896, 1.187 | .669 | 1.073 | 0.932, 1.236 | .328 |
Community COVID-19 risk | 0.976 | 0.813, 1.173 | .798 | 0.960 | 0.799, 1.153 | .663 |
Sociodemographic predictors: | ||||||
Female gender=1 (vs. male=0) | 1.944 | 1.328, 2.846 | .001 | 1.921 | 1.315, 2.808 | .001 |
Minority status=1 (vs. white, non-Hispanic=0) | 0.855 | 0.535, 1.367 | .513 | 0.864 | 0.544, 1.373 | .536 |
SES composite (education/income) | 0.951 | 0.774, 1.168 | .632 | 1.029 | 0.834, 1.269 | .789 |
Wealth | - | - | - | 0.787 | 0.656, 0.945 | .010 |