التفاصيل البيبلوغرافية
| العنوان: |
Epidemiological insights into anthropometric indices and their correlates among college students through a university-level screening program in Western India. |
| المؤلفون: |
Talati, Kandarp, Parmar, Ankita, Zalavadiya, Dhara, Shinde, Mayur, Madan-Patel, Geetika |
| المصدر: |
Indian Journal of Community Medicine; Jul-Sep2022, Vol. 47 Issue 3, p445-448, 4p |
| مصطلحات موضوعية: |
OBESITY, COLLEGE students, REFERENCE values, CONFIDENCE intervals, GLOBAL burden of disease, ANTHROPOMETRY, MULTIVARIATE analysis, MEDICAL screening, LEANNESS, WAIST-hip ratio, SEX distribution, METABOLIC disorders, MALNUTRITION, UNIVERSITIES & colleges, WAIST circumference, DESCRIPTIVE statistics, BODY mass index, ODDS ratio, DISEASE risk factors |
| مصطلحات جغرافية: |
INDIA |
| مستخلص: |
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. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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