ArticleCureus2021
Prevalence of Diabetes and Its Relationship With Body Mass Index Among Elderly People in a Rural Area of Northeastern State of India.
Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Prevalence and predictors of self-reported multimorbidity and locomotor disability among the geriatric population in coastal South Karnataka, India.BMC geriatrics · 2026Article
- Association Between Blood Glucose and Body Mass Index With Dietary Diversity and Physical Activity: A Cross-Sectional Study on Marma Tribes of Bandarban in Bangladesh.Health science reports · 2025Article
- Diabetes, hypertension, and other cardiovascular disease risk factors among adults in an urban underprivileged community in Bangalore city, India.Journal of family medicine and primary care · 2024Article
- The Potential of the Adzuki Bean (Nutrients · 2024Review
- The development of an in-situ biopolymer-based floating gel for the oral delivery of metformin hydrochloride.Heliyon · 2023Article
- BMI mediates the association of family medical history with self-reported hypertension and diabetes among older adults: Evidence from baseline wave of the longitudinal aging study in India.SSM - population health · 2022Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Diabetes and its complications are a major public health concern in elderly populations. However, there is little population-based data on diabetes and its risk factors among the elderly population living in rural areas of India. The objective of this population-based study was to assess the prevalence of diabetes in the elderly population and its relationship with body mass index (BMI). Methodology A population-based, cross-sectional study was conducted among elderly individuals (≥60 years) during the period 2013-2016 in rural areas of Dibrugarh district of Assam. Multi-stage sampling design was adopted to select the study participants. Data on socio-demographic profile and diagnosis/treatment history of diabetes were collected using pre-designed and pre-tested questionnaire. Fasting blood sugar was tested. Weight and height were measured to calculate BMI. Multivariate logistic regression analysis was performed to assess the relationship between diabetes and BMI. Results Data were collected from 430 (male: 210, female: 220) individuals. The overall prevalence of diabetes was 7.9% (male: 7.1%, female: 8.6%). Higher level of education was associated with increased prevalence of diabetes. Prevalence of diabetes increased as the BMI of participants increased. Prevalence of diabetes among obese individuals (BMI ≥25 kg/m
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