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. 2024 Nov 20;17:2881–2892. doi: 10.2147/RMHP.S469232

Table 4.

OLS Estimation of Correlation Between Vision Health Knowledge and Eyeglasses Wear Among Students Needing Eyeglasses

Dependent variable Univariate Model Adjusted for Eyeglasses Wear (n = 546) Full Model* (n = 546)
Regression Coefficient (95% CI) P value Regression Coefficient (95% CI) P value
Vision health knowledge
(1) Students’ vision health knowledge 0.006 (−0.062, 0.075) 0.855
(2) Parents’ vision health knowledge 0.062 (−0.010, 0.134) 0.092 0.063 (−0.011, 0.137) 0.092
(3) Teachers’ vision health knowledge 0.038 (−0.024, 0.097) 0.233
Individual characteristics
(4) Age (years) −0.012 (−0.047, 0.023) 0.491
(5) Male (1 = yes) −0.038(−0.116, 0.040) 0.338
(6) Boarding at school (1 = yes) −0.058 (−0.140, 0.025) 0.171 −0.057 (−0.140, 0.025) 0.172
(7) Standardized math score 0.027 (−0.009, 0.062) 0.142 0.025 (−0.011, 0.061) 0.174
Parental and family characteristics
(8) Father has education of 12 years or more (1 = yes) 0.021 (−0.074, 0.116) 0.663
(9) Mother has education of 12 years or more (1 = yes) 0.019 (−0.071, 0.109) 0.674
(10) Parental migrant status (1 = both parents are migrants) 0.091 (−0.006, 0.188) 0.065 0.083 (−0.015, 0.181) 0.098
(11) At least one family member wears eyeglasses (1 = yes) 0.023 (−0.040, 0.086) 0.475
(12) Medium wealth tercile (1 = yes) −0.068 (−0.151, 0.014) 0.104 −0.064 (−0.147, 0.018) 0.127
(13) High wealth tercile (1 = yes) −0.041 (−0.120, 0.038) 0.306

Notes: Source: Authors’ survey. In this study, 563 students needing eyeglasses had a pair of eyeglasses, but among these eyeglasses wear status of 17 students were missing, thus observation here is 546. *Including variables associated with eyeglasses wear P ≤ 0.2 in the univariate model.