Table 3.
Model 1a |
Model 2b |
Model 3c |
||||
---|---|---|---|---|---|---|
Multidimensional Poverty | PR (95% CI) | P Value | PR (95% CI) | P Value | PR (95% CI) | P Value |
ci = 0 | Reference | Reference | Reference | |||
ci = 0.25 | 2.12 (2.05-2.19) | <0.001 | 2.22 (2.15-2.29) | <0.001 | 1.66 (1.60-1.73) | <0.001 |
ci = 0.50 | 2.58 (2.48-2.68) | <0.001 | 2.90 (2.80-3.01) | <0.001 | 1.99 (1.89-2.09) | <0.001 |
ci = 0.75 | 2.88 (2.71-3.06) | <0.001 | 3.66 (3.45-3.88) | <0.001 | 2.29 (2.13-2.47) | <0.001 |
ci = 1.00 | 2.08 (1.71-2.54) | <0.001 | 3.36 (2.77-4.08) | <0.001 | 2.38 (1.84-3.07) | <0.001 |
ASCVD = atherosclerotic cardiovascular disease; PR = prevalence ratios; ci = multidimensional poverty weighted deprivation score.
The multidimensional weighted deprivation score (ci) is computed using the Alkire-Foster method. This method considered dimensions such as income, education, self-reported health, and health insurance status to capture poverty. Each dimension was assigned an equal weight of 1/4, denoting their relative importance. The weighted deprivation score was obtained by summing the products of the weights and dimensional deprivations for each person. Hence, the ci represents the weighted proportion of simultaneous deprivations across multiple dimensions of poverty experienced by each individual. It has values of 0 (no deprivation in any dimension), 0.25 (deprived in any 1 dimension), 0.50 (deprived in 2 dimensions), 0.75 (deprived in 3 dimensions), and 1.00 (deprived in all 4 dimensions), respectively.
Model 1 = Unadjusted.
Model 2 = Adjusted for age, sex, and ethnicity/race.
Model 3 = Adjusted for Model 2 + cardiovascular risk factors profile + comorbidities.