Abstract
In this article, relationship between respondents’ height and occurrence of diabetes has been investigated. This study uses Bangladesh Demographic and Health Survey (BDHS) 2011 data collected from an observational study. Considering height (tall/normal/short) based on percentiles separately for men and women, logistic regression model was fitted to the propensity score (PS)-adjusted weighted data. No significant relationship between respondents’ height and diabetes was observed. We also found that the occurrence of diabetes significantly varies with respect to sex, education level, wealth index, body mass index (BMI), and region/division. As, in general, women are shorter than men by nature, we strongly argue that height categories should be defined separately whenever estimation of the effect of height on some response is of interest.
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Talukder, A., Akter, N., & Sazzad Mallick, T. (2019). Exploring Association Between Individuals’ Stature and Type 2 Diabetes Status: Propensity Score Analysis. Environmental Health Insights, 13. https://doi.org/10.1177/1178630219836975
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