Research Article

Prevalence and Risk Factors for Adult Cataract in the Jingan District of Shanghai

Table 4

Univariate and multivariable association analysis of risk factors for cataract.

Risk factorsUnivariate analysisAfter adjusting for ageMultivariate analysis
OR95% CIOR95% CIOR95% CI

Age1.1161.106–1.1261.1071.094–1.120
Gender (female)0.9730.823–1.1431.1300.940–1.3581.1210.891–1.411
Marital statusNever married111
Married0.9250.620–1.3820.7960.509–1.2460.8450.537–1.330
Divorced0.7450.405–1.3730.8190.416–1.6120.8580.432–1.706
Widowed3.5222.272–5.4590.9760.529–1.6100.9490.568–1.583

EducationPrimary school or illiterate111
Secondary school0.2750.227–0.3330.8350.659–1.0570.9010.703–1.154
University/college0.3630.279–0.4710.7220.537–0.9720.8500.613–1.179

Time of using computerNo111
1∼2 h/d0.4850.388–0.6060.9210.718–1.1810.9870.761–1.280
3∼8 h/d0.2690.198–0.3660.5920.425–0.8250.6170.438–0.869
>8 h/d0.3520.145–0.8560.9380.375–2.3491.0500.411–2.682

Time of using televisionNo111
1∼2 h/d0.9010.612–1.3250.9980.631–1.5771.0240.641–1.636
3∼8 h/d0.7940.542–1.1640.9710.617–1.5281.0170.639–1.619
>8 h/d0.7480.390–1.4360.8700.410–1.8470.8570.399–1.841

Time of using air conditionersNo111
1∼2 h/d0.5540.413–0.7430.7820.560–1.0900.7890.562–1.108
3∼8 h/d0.5040.352–0.7220.8490.561–1.2660.8640.576–1.295
>8 h/d0.5680.243–1.3280.8690.331–2.2820.8580.324–2.276

Hypertension1.5961.363–1.8700.9750.810–1.1720.9420.779–1.139
Diabetes1.7931.442–2.2291.2110.943–1.5561.1830.915–1.530
Smoking0.7540.606–0.9381.0890.850–1.3941.1640.866–1.566
Drinking0.8090.640–1.0190.9660.741–1.2570.9710.720–1.309
Refractive error1.9441.660–2.2761.3461.124–1.6121.3521.127–1.622
Ocular trauma1.0920.603–1.9761.3670.711–2.6281.2750.659–2.469
Contact lenses0.6840.071–6.5804.3940.452–42.7545.6640.555–57.773

OR: odds ratio; the values in bold indicate that the value is less than 0.05.