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Epidemiological Insights into Anthropometric Indices and Their Correlates among College Students through a University-Level Screening Program in Western India

INTRODUCTION: India is facing a dual burden of malnutrition with high prevalence of underweight and increasing prevalence of overweight/obesity. METHODOLOGY: This study reports anthropometric findings (body mass index, waist circumference [WC], and waist–hip ratio [WHR]) from the screening of 3296 s...

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Detalles Bibliográficos
Autores principales: Talati, Kandarp Narendra, Parmar, Ankita, Zalavadiya, Dhara, Shinde, Mayur, Madan-Patel, Geetika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693959/
https://www.ncbi.nlm.nih.gov/pubmed/36438530
http://dx.doi.org/10.4103/ijcm.ijcm_1219_21
Descripción
Sumario:INTRODUCTION: India is facing a dual burden of malnutrition with high prevalence of underweight and increasing prevalence of overweight/obesity. METHODOLOGY: This study reports anthropometric findings (body mass index, waist circumference [WC], and waist–hip ratio [WHR]) from the screening of 3296 students admitted during 2018–2019. RESULTS: Majority of the students were male (70%), with a mean age of 18.57 years. About 31% and 19% of students were underweight and overweight, respectively. Given sex-specific cutoffs for WC and WHR, about 5% and 21% of students were at substantially increased risk of metabolic complications. About 14.5% of normal and underweight students were also found to be at substantially increased risk of metabolic complications. Multivariate analysis found increasing age (odds ratio [OR] = 0.92; 95% confidence interval [CI]: 0.88–0.98) and being male (OR = 0.74; 95% CI: 0.62–0.88) to be protective factors against underweight. We did not find any statistically significant correlation for overweight, for WHR among males, and WC and WHR among females. CONCLUSION: It has been noted that the college environment increases the risk of weight gain. Hence, it makes a case to periodically study changes in anthropometric measures through a longitudinal study, and accordingly develop life cycle-based interventions for prevention/management of undernutrition, obesity, and related complications.