Table 2.
Between-site variation in zero inflation and WHODAS 2.0 score counts as modelled by zero-inflated negative binomial regression, before and after adjustment for compositional factors
| Crude model | Adjusted model* | |
|---|---|---|
| Zero inflation | ||
| Cuba | 1† | .. |
| Dominican Republic | 0·75 (0·66–0·86) | 1·08 (0 ·93–1·26) |
| Peru (urban) | 1·12 (0·97–1·30) | 1·10 (0·93–1·28) |
| Peru (rural) | 0·79 (0·64–0·99) | 0·57 (0·45–0·73) |
| Venezuela | 1·16 (1·02–1·32) | 1·24 (1·07–1·44) |
| Mexico (urban) | 1·55 (1·33–1·81) | 1·67 (1·39–2·00) |
| Mexico (rural) | 1·78 (1·53–2·07) | 2·16 (1·79–2·60) |
| China (urban) | 5·42 (4·57–6·36) | 6·89 (5·70–8·33) |
| China (rural) | 2·26 (1·93–2·65) | 1·37 (1·13–1·66) |
| India (urban) | 0·97 (0·83–1·14) | 0·64 (0·53–0·77) |
| India (rural) | 0·01 (0·00–0·11) | 0·02 (0·01–0·05) |
| Count | ||
| Cuba | 1† | .. |
| Dominican Republic | 1·12 (1·05–1·20) | 1·01 (0·95–1·07) |
| Peru (urban) | 1·02 (0·93–1·11) | 1·03 (0·96–1·11) |
| Peru (rural) | 0·72 (0·64–0·81) | 0·96 (0·87–1·06) |
| Venezuela | 0·84 (0·78–0·91) | 0·86 (0·80–0·91) |
| Mexico (urban) | 0·89 (0·80–0·99) | 0·97 (0·88–1·07) |
| Mexico (rural) | 1·06 (0·96–1·17) | 1·14 (1·03–1·25) |
| China (urban) | 1·56 (1·39–1·76) | 1·27 (1·14–1·41) |
| China (rural) | 0·87 (0·78–0·96) | 1·14 (1·05–1·23) |
| India (urban) | 0·78 (0·71–0·86) | 1·09 (1·00–1·19) |
| India (rural) | 1·36 (1·27–1·44) | 1·65 (1·55–1·77) |
Data for zero inflation are odds ratio (95% CI); data for count are ratio of counts (95% CI). WHODAS=WHO disability assessment schedule.
*
Adjusted for age, sex, educational attainment, marital status, and all chronic-disease diagnoses and impairments.
†
Reference.