Table 4 Regression analysis showing the effect of selected socio-economic and health-related variables on YLL Due to CVD, India, 2017–18
From: Gender differences in premature mortality for cardiovascular disease in India, 2017–18
Explanatory variables | Male | Female | ||
|---|---|---|---|---|
Coefficient | Confidence Interval | Coefficient | Confidence Interval | |
Share of elderly population | 4.40 | 1.31, 7.49 | 1.47 | -1.82,4.76 |
Share of urban population | 1.21 | -0.01, 2.43 | 0.26 | -0.89,1.40 |
Literacy rate | -8.74 | -21, 3.53 | -3.01 | -9.67,3.64 |
State-health expenditure | -1.37 | -3.41, 0.68 | 0.56 | -1.92,3.05 |
Obesity | -0.30 | -1.29, 0.67 | 0.01 | -1.85,1.88 |
Diabetes | -1.01 | -2.5, 0.47 | -0.86 | -2.76,1.08 |
Social sector expenditure | 0.05 | -0.66, 0.77 | 0.07 | -0.86,0.96 |
Labour force participation | 3.06 | -3.31, 9.48 | 0.10 | -0.62,0.86 |
HDI | 3.47 | -7.09,15.04 | 2.06 | -11.48,15.56 |
Constant | 12.30 | -19.8, 44.40 | 7.18 | -6.48,22.48 |
R square | 0.64 | 0.49 | ||