Table 5.
Association of days of sick leave with multimorbidity and socio-demographic factors
| Variables | Sick leave at agricultural work (n = 4,965) |
Sick leave at employed non-agricultural work (n = 1,006) |
||||||
|---|---|---|---|---|---|---|---|---|
| IRR | P value | 95% CI | IRR | P value | 95% CI | |||
| No. of chronic disease (single) | ||||||||
| Multimorbidity | 1.676 | <0.001 | 1.390 | 2.020 | 2.418 | 0.009 | 1.245 | 4.696 |
| Age (45–54) | ||||||||
| 55–64 | 1.111 | 0.277 | 0.919 | 1.343 | 0.671 | 0.201 | 0.364 | 1.238 |
| 65–74 | 1.331 | 0.010 | 1.072 | 1.654 | - | - | - | - |
| −75 and above | 1.259 | 0.231 | 0.863 | 1.835 | - | - | - | - |
| Gender (male) | ||||||||
| Female | 1.272 | 0.004 | 1.080 | 1.498 | 0.740 | 0.297 | 0.419 | 1.306 |
| Marital status (married) | ||||||||
| Unmarried and other | 1.041 | 0.782 | 0.784 | 1.382 | 2.442 | 0.181 | 0.658 | 9.056 |
| Level of education (illiterate) | ||||||||
| Primary school | 0.998 | 0.985 | 0.809 | 1.232 | 2.185 | 0.073 | 0.930 | 5.131 |
| Secondary school | 0.702 | 0.002 | 0.562 | 0.876 | 2.366 | 0.007 | 1.262 | 4.437 |
| College & above | 0.830 | 0.389 | 0.542 | 1.270 | 1.422 | 0.387 | 0.640 | 3.160 |
| Residence place (urban) | ||||||||
| Rural | 1.610 | <0.001 | 1.301 | 1.993 | 1.011 | 0.969 | 0.589 | 1.736 |
| Region (east) | ||||||||
| Central | 1.135 | 0.237 | 0.920 | 1.399 | 0.923 | 0.801 | 0.496 | 1.719 |
| West | 1.326 | 0.008 | 1.076 | 1.633 | 0.746 | 0.403 | 0.376 | 1.483 |
| PCE, quartile (Q1, the lowest) | ||||||||
| Q2 | 0.895 | 0.276 | 0.734 | 1.093 | 1.073 | 0.901 | 0.350 | 3.291 |
| Q3 | 1.179 | 0.093 | 0.973 | 1.429 | 0.677 | 0.433 | 0.254 | 1.801 |
| Q4 (the highest) | 1.125 | 0.267 | 0.913 | 1.385 | 1.444 | 0.390 | 0.623 | 3.345 |
| Social health insurance (no) | ||||||||
| Yes | 1.146 | 0.337 | 0.867 | 1.515 | 1.778 | 0.115 | 0.869 | 3.640 |
Negative binomial regression models were used to assess the association between days of sick leave at agricultural work and at employed non-agricultural work with chronic conditions. The incidence rate ratio estimated by adjusting for study variables, including age, gender, marital status, level of education, residence place, region, household economic level and health insurance status. IRR, incidence rate ratio; CI, confidence interval; PCE, per capita household consumption expenditure.