Table 2.

Association of Age, Gender, and Education with Correctable Near Vision Impairment Stratified by Age

	Population Aged ≤54 Yrs			Population Aged ≥55 Yrs
Study Site	N* Age (Yrs)	Female Gender	Education Level	N* Age (Yrs)	Female Gender	Education Level
Shunyi	904 1.45 (1.31–1.61)	1.70 (0.91–3.18)	0.94 (0.61–1.46)	1098 0.89 (0.84–0.94)	0.94 (0.69–1.29)	1.21 (0.98–1.50)
	P < 0.001	P – 0.082	P – 0.753	P = 0.003	P – 0.661	P – 0.069
Guangzhou	811 1.27 (1.18–1.35)	1.24 (0.90–1.71f)	1.10 (0.92–1.31)	714 0.95 (0.92–0.97)	0.77 (0.56–1.05)	1.06 (0.79–1.43)
	P < 0.001	P – 0.164	P – 0.276	P = 0.001	P – 0.090	P – 0.660
Kaski	778 1.43 (1.32–1.54)	1.42 (0.82–2.44)	0.93 (0.81–1.05)	867 0.86 (0.84–0.88)	0.87 (0.58–1.29)	1.28 (1.05–1.55)
	P < 0.001	P – 0.198	P – 0.204	P< 0.001	P – 0.464	P = 0.018
Madurai	1365 1.13 (1.10–1.16)	0.71 (0.54–0.93)	1.03 (0.95–1.13)	937 0.99 (0.97–1.01)	1.12 (0.93–1.37)	1.19 (1.05–1.33)
	P < 0.001	P = 0.015	P – 0.433	P – 0.396	P – 0.224	P = 0.007
Durban	491 1.16 (1.11–1.21)	1.34 (0.80–2.25)	0.68 (0.56–0.83)	503 0.95 (0.92–0.98)	1.04 (0.55–1.97)	1.08 (0.87–1.34)
	P < 0.001	P – 0.248	P = 0.004	P = 0.002	P – 0.894	P – 0.492
Dosso	971 1.15 (1.12–1.18)	1.9 (0.83–1.71)	1.06 (0.92–1.22)	523 0.94 (0.92–0.97)	1.32 (0.84–2.08)	1.11 (0.93–1.32)
	P < 0.001	P – 0.324	P – 0.420	P< 0.001	P – 0.213	P – 0.235
Los	124 1.31 (1.14–1.49)	3.74 (0.98–14.2)	0.79 (0.51–1.23)	247 0.99 (0.96–1.01)	1.41 (0.62–3.22)	1.06 (0.81–1.40)
Angeles	P = 0.006	P – 0.052	P – 0.217	P – 0.201	P – 0.311	P – 0.536
All Sites†	5444 1.22 (1.20–1.25)	1.15 (0.99–1.34)	0.98 (0.92–1.03)	4889 0.93 (0.92–0.94)	1.02 (0.91–1.16)	1.21 (1.13–1.29)
	P < 0.001	P – 0.066	P – 0.382	P< 0.001	P – 0.690	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.