. Author manuscript; available in PMC: 2018 Apr 1.

Published in final edited form as: J Behav Med. 2016 Aug 8;40(2):271–280. doi: 10.1007/s10865-016-9779-x

Table 3.

Results of multiple logistic regression analyses regressing hypertension prevalence, awareness, treatment and control on fatalism and covariates

Fatalism association with	Model 1^a OR [95 % CI]	Model 2^b OR [95 % CI]	Model 3^c OR [95 % CI]
Hypertension prevalence	1.17^* [1.05, 1.31]	1.14^* [1.02, 1.28]	1.12 [1.00, 1.26]
Hypertension awareness	0.97 [0.77, 1.22]	1.02 [0.81, 1.28]	1.00 [0.80, 1.25]
Hypertension treatment	0.95 [0.78, 1.16]	1.00 [0.83, 1.22]	1.00 [0.83, 1.21]
Hypertension control	0.85 [0.69, 1.04]	0.89 [0.73, 1.08]	0.91 [0.78, 1.11]

n = 5222–5309

OR odds ratio, 95 % CI 95 % confidence interval

p < .05

Controls for age, sex, Hispanic/Latino background group, and field center

Controls for Model 1 covariates, as well as education, income, language of interview, and nativity/immigration

Controls for Model 2 covariates, as well as health insurance status, diabetes, BMI, dietary quality, physical activity, and cigarette and alcohol consumption