Longitudinal logistic regression analyses of time-varying weight-adjusted-waist index (WWI) and visual impairment, 2011–2015
| Longitudinal GEE analyses of WWI and visual impairment, 2011–2015 | |||
| OR | 95% CI | P value | |
| Model 1 | 1.1649 | (1.1002 to 1.2334) | <0.0001 |
| Model 2 | 1.1618 | (1.0972 to 1.2302) | <0.0001 |
| Model 3 | 1.1630 | (1.0982 to 1.2315) | <0.0001 |
| Model 4 | 1.1631 | (1.0983 to 1.2316) | <0.0001 |
| Model 5 | 1.2351 | (1.1592 to 1.3158) | <0.0001 |
The results of the generalised estimating equation (GEE) models were expressed as ORs and 95% CIs. The analytic sample size was 4133. Model 1: adjusted for demographic factors including age and gender; model 2: adjusted for factors in model 1, as well as socioeconomic including marital status, educational level and living area; model 3: adjusted for factors in model 2, as well as life style factors including smoking status and alcohol consumption; model 4: adjusted for factors in model 3, as well as medical insurance covering; model 5: adjusted for factors in model 4, as well as body mass index.