1. Structural equation modeling to identify the risk factors of diabetes in the adult population of North India
- Author
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Jaya Prasad Tripathy, J S Thakur, Gursimer Jeet, and Sanjay Jain
- Subjects
Diabetes, epidemiology ,STEPS survey ,Waist circumference ,Family history of diabetes ,Structural equation modeling ,Blood glucose ,Arctic medicine. Tropical medicine ,RC955-962 - Abstract
Abstract Background A non-communicable disease risk factor survey (based on World Health Organization STEP approach to Surveillance, i.e., WHO-STEPS) was done in the state of Punjab, India in a multistage stratified sample of 5127 individuals. The study subjects were administered the WHO STEPS questionnaire and also underwent anthropometric and biochemical measurements. This study aimed at exploring the risk factors of diabetes using a Structural Equation Modeling (SEM) approach in the North Indian state of Punjab. Results Overall prevalence of diabetes mellitus among the study participants was found out to be 8.3% (95% CI 7.3–9.4%). The final SEM had excellent fit considering the model parameters. The following risk factors deemed to have a direct statistically significant effect on blood sugar status: family history of diabetes (4.5), urban residence (3.1), triglycerides (0.46), increasing waist circumference (0.18), systolic blood pressure (0.11), and increasing age (0.05). There are specific indirect effects of alcohol use (1.43, p = 0.001), family h/o diabetes (0.844, p = 0.001), age (0.156, p
- Published
- 2018
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