Table 2.
Linear regression analysis of the relationship between the country-level disease burden of glaucoma and the socioeconomic variables
| R square | P-value* | Coefficient | Lower bound | Upper bound | |
|---|---|---|---|---|---|
| Age-standardized prevalence rate of cataracts |
0.103 |
<0.001 |
0.004 |
0.002 |
0.006 |
| Age-standardized prevalence rate of refraction disorders |
- |
0.307 |
- |
- |
- |
| CRS |
0.202 |
<0.001 |
-0.002 |
-0.003 |
-0.001 |
| HDI |
0.244 |
<0.001 |
-33.817 |
-43.022 |
-24.612 |
| Inequality-adjusted HDI |
0.499 |
<0.001 |
-34.761 |
-40.735 |
-28.788 |
| SDI |
0.233 |
<0.001 |
-27.961 |
-35.169 |
-20.753 |
| Physicians (per 10 000 people) |
0.171 |
<0.001 |
-0.282 |
-0.382 |
-0.181 |
|
Model 1† |
0.257 |
<0.001 |
|||
| HDI |
-22.168 |
-37.152 |
-7.183 |
||
| CRS |
-0.001 |
-0.002 |
-0.0001 |
||
|
Model 2‡ |
0.501 |
<0.001 |
|||
| Mean years of schooling |
-1.592 |
-2.431 |
-0.753 |
||
| GNI per capita |
0.0003 |
0.0002 |
0.0004 |
||
| CRS |
-0.001 |
-0.002 |
-0.001 |
||
| Expected years of schooling |
-1.085 |
-2.009 |
-0.161 |
||
|
Model 3§ |
0.520 |
<0.001 |
- |
- |
- |
| Inequality-adjusted HDI | -38.529 | -46.276 | -30.783 |
DALY – disability-adjusted life years, HDI – human development index, SDI – socio-demographic index, GNP – gross national income, CSR – cataract surgery rate
*P ≤ 0.05 were considered statistically significant.
†Model 1: Age-standardized Prevalence Rate of Cataracts, Age-standardized Prevalence Rate of Refraction Disorders, CRS, Physicians, HDI, and SDI.
‡Model 2: Age-standardized Prevalence Rate of Cataracts, Age-standardized Prevalence Rate of Refraction Disorders, CRS, Physicians, SDI, Mean Years of Schooling, GNI per Capita, Expected Years of Schooling, and Life Expectancy at Birth.
§Model 3: Age-standardized prevalence rate of cataracts, Age-standardized prevalence rate of refraction disorders, CRS, Physicians, SDI, and Inequality-Adjusted HDI.