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Table 6 Models for exposure to health risks. Binomial logistic regression: odds ratios with 95% confidence intervals and goodness of fit statisticsa

From: Can microcredit help improve the health of poor women? Some findings from a cross-sectional study in Kerala, India

Dependent variable: exposed to health risk (yes, n = 206, no, n = 722) M0 M1 M2
Socioeconomic characteristics and caste    
Education (ref = high school+) Primary   1.24 [0.80–1.93] 1.27 [0.82–1.97]
No education   1.43 [0.92–2.23] 1.50 [0.96–2.35]
Employment (ref = not engaged) Engaged   0.96 [0.66–1.39] 0.95 [0.65–1.37]
Landholdings (ref = more than 50 cents) 50 cents or less   1.46 [0.96–2.21] 1.45 [0.95–2.20]
Caste of head (ref = forward) OBC   0.67 [0.43–1.05] 0.67 [0.43–1.05]
SC/ST   0.72 [0.46–1.14] 0.72 [0.45–1.14]
SHG participation    
SHG (ref = not member) Early joiner (> 2 years) 1.27 [0.81–1.97]   1.35 [0.84–2.18]
Late joiner (< = 2 years) 0.90 [0.64–1.27]   0.99 [0.69–1.42]
Chi square (df) -2 log likelihood 2.3(2) 980.2 51.6(9)*** 930.9 53.6(11)*** 928.9
Deviation   4.0(2)
  1. a Notes: Models are adjusted for age and women's household position. Results in bold are statistically significant, *p < 0.05, **p < 0.01, ***p < 0.001
  2. OBC = Other Backward Caste, SC/ST = Scheduled Caste/Scheduled Tribe.