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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\u2019 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.<\/jats:p>","DOI":"10.1177\/1178630219836975","type":"journal-article","created":{"date-parts":[[2019,3,19]],"date-time":"2019-03-19T02:03:51Z","timestamp":1552961031000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Exploring Association Between Individuals\u2019 Stature and Type 2 Diabetes Status: Propensity Score Analysis"],"prefix":"10.1177","volume":"13","author":[{"given":"Ashis","family":"Talukder","sequence":"first","affiliation":[{"name":"Statistics Discipline, Khulna University, Khulna, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Najiba","family":"Akter","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of Dhaka, Dhaka, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taslim","family":"Sazzad Mallick","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of Dhaka, Dhaka, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,3,18]]},"reference":[{"key":"bibr1-1178630219836975","unstructured":"World Health Organization. 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