|
Predictor variablesa
|
Overall chronic conditions N = 637
|
Diabetes N = 312
|
Hypertension N = 379
|
|---|
|
Unadjusted odds ratio (95 % CI)
|
Adjusted odds ratio (95 % CI)
|
Unadjusted odds ratio (95 % CI)
|
Adjusted odds ratio (95 % CI)
|
Unadjusted odds ratio (95 % CI)
|
Adjusted odds ratio (95 % CI)
|
|---|
|
Sex
| | | | | | |
|
Men
|
-
|
-
| | | |
-
|
|
Women
|
1.62
|
1.79
|
1.28
|
1.32
|
1.91
|
1.93b
|
|
(1.3,1.9)
|
(1.3, 2.4)
|
(1.0,1.6)
|
(1.0,1.9)
|
(1.5,2.3)
|
(1.3,2.7)
|
|
Age groups (years)
| | | | | | |
|
0 - ≤ 40
|
-
|
-
| |
-
| |
-
|
|
> 40 - ≤ 60
|
9.6
|
21.97
|
20.56
|
26.79
| |
21.69b
|
|
(4.6,20.0)
|
(15.8,30.4)
|
(2.7,153.3)
|
(15.5,46.2)
| |
(14.1,33.2)
|
|
> 60
|
178.64
|
49.14
|
528.42
|
58.81
| |
48.93b
|
|
(88.4,360.6)
|
(30.8,78.3)
|
(74.0,3769.1)
|
(31.3,110.4)
| |
(28.6,83.5)
|
|
Monthly per capita income
| | | | | | |
|
First quintile
| |
-
| |
-
| | |
|
Second quintile
|
1.29
|
1.41
|
1.32
|
2.03
|
1.23
|
1.25
|
|
(0.9,1.7)
|
(0.8,2.2)
|
(0.8,2.0)
|
(1.1,3.7)
|
(0.8,1.8)
|
(0.7,2.1)
|
|
Third quintile
|
1.17
|
0.96
|
1.10
|
0.98
|
1.00
|
0.86
|
|
(0.8,1.6)
|
(0.5,1.5)
|
(0.6,1.7)
|
(0.5,1.9)
|
(0.6,1.5)
|
(0.4,1.5)
|
|
Fourth quintile
|
1.24
|
1.14
|
1.11
|
1.26
|
1.15
|
1.09
|
|
(0.9,1.6)
|
(0.7,1.8)
|
(0.7,1.7)
|
(0.6,2.3)
|
(0.7,1.7)
|
(0.6,1.8)
|
|
Fifth quintile
|
1.62
|
1.31
|
1.71
|
1.42
|
1.48
|
1.22
|
|
(1.2,2.1)
|
(0.8,2.0)
|
(1.1,2.6)
|
(0.7,2.5)
|
(1.0,2.1)
|
(0.7,2.0)
|
|
Household poverty status
| | | | | | |
|
Above the poverty line
|
-
|
-
|
-
|
-
|
-
|
-
|
|
Below the poverty line
|
0.84(0.63–1.11)
|
0.99
|
0.66
|
0.58
|
0.86
|
1.07
|
|
(0.6,1.4)
|
(0.4,1.0)
|
(0.3, 1.0)
|
(0.6,1.2)
|
(0.6,1.6)
|
|
Religion
| | | | | | |
|
Islam
|
-
|
-
|
-
|
-
|
-
|
-
|
|
Hinduism
|
1.12(0.9–1.3)
|
0.74
|
1.23(0.9–1.6)
|
-
|
0.87(0.6–1.1)
|
0.53 (0.3,0.8)
|
|
(0.5,1.0)
|
|
Christianity
|
1.21(0.9–1.5)
|
1.14
|
0.99(0.6–1.5)
|
-
|
1.02(0.7–1.5)
|
0.91 (0.5,1.5)
|
|
(0.7,1.8)
|
- aFor all the predictor variables, the first category mentioned serves as the referent category. Absence of data against certain predictor variables suggests that those variables were not part of the final model arrived at during multivariable logistic regression for prevalence of respective category of chronic conditions
- bPredictor variable is significant at p< 0.05
