ORIGINAL ARTICLE
Year : 2015  |  Volume : 8  |  Issue : 6  |  Page : 729-733

Study of clinical parameters and laboratory evaluation of metabolic syndrome in adolescents


Department of Paediatrics, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India

Correspondence Address:
Ayesha Imran
Department of Paediatrics, Dr. D. Y. Patil Medical College and Hospital, Pimpri, Pune, Maharashtra
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0975-2870.167982

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Introduction: Worldwide incidence of obesity is rising. Genetic predisposition, urbanization, sedentary lifestyle, television watching, food habits, and lack of exercise are contributing factors. They result in obesity-related morbidity like metabolic syndrome, stroke in young, coronary artery disease, and diabetes. Materials and Methods: A cross-sectional study was undertaken among 1000 adolescents of both genders, aged 12-19 years in three schools of Pimpri, Pune, after obtaining approval from Institutional Ethical Committee. The criterion used to diagnose metabolic syndrome was International Diabetes Federation definition. The Chi-square test was used to explore the association between metabolic syndrome and various predictors. A P value of 0.05 was accepted as the level of statistical significance. Results: In the study sample, the prevalence of metabolic syndrome was 16/1000. Females were more likely to have metabolic syndrome (male:female = 7:9). Factors associated were body mass index (BMI), waist-hip ratio (WHR), birth weight, skin fold thickness, body fat percentage, faulty dietary habits, and sedentary lifestyles (P < 0.05). Among all, the components of metabolic syndrome, raised triglyceride (75%), and fasting blood sugar level (75%) were more prevalent than high-density lipoprotein-cholesterol (44%) and hypertension (37.5%). Conclusion: Metabolic syndrome was found to be more prevalent in females of age group 16-19 years, among the obese population, associated with birth weight, BMI, and WHR.


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