Table 3.

Association of Age, Gender, and Education with Near Vision Impairment Not Correctable with Refraction (Uncorrectable Near Vision Impairment) for People Aged ≥55 Years

	Population Aged≥55 Yrs
Study Site	N*	Age (Yrs)	Female Gender	Education Level
Shunyi	1098	1.18 (1.11–1.25) P < 0.001	1.16 (0.68–2.00) P = 0.521	0.71 (0.53-0.95) P = 0.029
Guangzhou	714	1.16 (1.13–1.20) P < 0.001	1.57 (0.92–2.69) P = 0.091	0.66 (0.50–0.87) P = 0.008
Kaski	867	1.16 (1.14–1.18) P < 0.001	1.20 (0.79–1.85) P = 0.373	0.77 (0.63–0.95) P = 0.019
Madurai	937	1.05 (1.02–1.08) P = 0.003	1.07 (0.74–1.53) P = 0.724	0.76 (0.63–0.92) P = 0.007
Durban	503	1.08 (1.04–1.12) P < 0.001	1.42 (0.62–3.22) P = 0.387	0.75 (0.53–1.04) P = 0.084
Dosso	523	1.13 (1.09–1.16) P < 0.001	1.68 (1.01–2.79) P = 0.045	0.89 (0.68–1.15) P = 0.352
Los Angeles	247	1.13 (1.01–1.28) P = 0.044	0.57 (0.20–1.60) P = 0.203	1.25 (0.34–4.50) P = 0.660
All Sites†	4889	1.13 (1.12–1.14) P < 0.001	1.23 (1.03–1.46) P = 0.020	0.70 (0.64–0.76) P < 0.001

Data are given as ORs (95% CI). Bold values indicate a significant difference at the P < 0.050 level.

^*Number of participants included in the multiple logistic regression (corresponding to the number with education data).

^†Site was included as a covariate in the multiple logistic regression with data from all 7 study sites.