Arkaprava Dasgupta, Kakali Das Sarkar, Adwitiya Das
{"title":"An Epidemiological Study on Magnitude of Selected Components of Metabolic Syndrome and Its Risk Factors among First-year MBBS Students.","authors":"Arkaprava Dasgupta, Kakali Das Sarkar, Adwitiya Das","doi":"10.59556/japi.72.0768","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Previous research has suggested that the prevalence of risk factors for cardiometabolic diseases is higher in South Asians, with premature presentation common in this subpopulation.</p><p><strong>Aim: </strong>To explore this further, we assessed the prevalence of metabolic syndrome (MetS) components and risk factors among young adults.</p><p><strong>Methods: </strong>This was a cross-sectional, epidemiological, institution-based study conducted at the Medical College in Eastern India. The study aimed to assess the demographic, physical, and biochemical risk factors for MetS among first-year medical students using a predesigned, pretested, semistructured questionnaire. The relationship between socio-demographics and other characteristics of MetS was calculated by using Chi-squared tests and unpaired <i>t</i>-tests. A <i>p</i>-value ≤ 0.05 was significant with a 95% confidence interval (CI). The logistic regression method was applied to find out the strength of the association of sociodemographics and other characteristics with MetS.</p><p><strong>Results: </strong>The study included 150 first-year medical undergraduate students (mean age of 18.5 ± 0.4 years), comprising 68% males. Among students who were smokers, consumed alcohol, and had excessive junk food, salt, and red meat, the risk of MetS was significantly greater (<i>p</i> < 0.00001). The logistic regression revealed that history of smoking [adjusted odds ratio (AOR) 5.32, 95% CI (3.31-9.02)] and history of alcohol intake [AOR 6.23, 95% CI (2.45-8.62)] were significantly associated with greater odds of MetS.</p><p><strong>Conclusion: </strong>In young adults, the risk of premature cardiovascular disease can be reduced by focusing on the early identification and prevention of risk factors for MetS. Context-specific, cost-effective, and feasible interventions to reduce identified risk factors are the need of the hour.</p>","PeriodicalId":22693,"journal":{"name":"The Journal of the Association of Physicians of India","volume":"72 12","pages":"14-17"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of the Association of Physicians of India","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59556/japi.72.0768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Previous research has suggested that the prevalence of risk factors for cardiometabolic diseases is higher in South Asians, with premature presentation common in this subpopulation.
Aim: To explore this further, we assessed the prevalence of metabolic syndrome (MetS) components and risk factors among young adults.
Methods: This was a cross-sectional, epidemiological, institution-based study conducted at the Medical College in Eastern India. The study aimed to assess the demographic, physical, and biochemical risk factors for MetS among first-year medical students using a predesigned, pretested, semistructured questionnaire. The relationship between socio-demographics and other characteristics of MetS was calculated by using Chi-squared tests and unpaired t-tests. A p-value ≤ 0.05 was significant with a 95% confidence interval (CI). The logistic regression method was applied to find out the strength of the association of sociodemographics and other characteristics with MetS.
Results: The study included 150 first-year medical undergraduate students (mean age of 18.5 ± 0.4 years), comprising 68% males. Among students who were smokers, consumed alcohol, and had excessive junk food, salt, and red meat, the risk of MetS was significantly greater (p < 0.00001). The logistic regression revealed that history of smoking [adjusted odds ratio (AOR) 5.32, 95% CI (3.31-9.02)] and history of alcohol intake [AOR 6.23, 95% CI (2.45-8.62)] were significantly associated with greater odds of MetS.
Conclusion: In young adults, the risk of premature cardiovascular disease can be reduced by focusing on the early identification and prevention of risk factors for MetS. Context-specific, cost-effective, and feasible interventions to reduce identified risk factors are the need of the hour.