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PREVALENCE OF METABOLIC SYNDROME AMONG BANGLADESHI ADOLESCENTS

Background: Metabolic syndrome (MS), defined as a constellation of cardiovascular disease (CVD) risk factors, is one of the fastest growing public health burdens in the Asia-Pacific region including Bangladesh. MS screening has only been performed in a few countries other than Bangladesh. Therefore the present study is designed to conduct a comprehensive screening of MS in Bangladeshi rural adulthood, which includes estimation of prevalence and assessment of risk factor of metabolic syndrome.

Objective: To find out the prevalence and pattern of Metabolic Syndrome among Bangladeshi adolescents.

Methodology: This cross sectional study was carried out from selected urban, sub urban and rural areas in Bangladesh.  Multistage random sampling was adopted to select the samples according to fulfilling inclusion and exclusion criteria were included in this study.  Data were collected from three areas of Bangladesh, 200 from rural, 194 from Urban and 106 from Sub-urban. Statistical analyses were carried out by using the Statistical Package for Social Sciences version 23.0 for Windows (SPSS Inc., Chicago, Illinois, USA). P values <0.05 was considered as statistically significant.

Results: The prevalence of metabolic syndrome was found 24(4.8%). Family history of diabetes mellitus, hypertension, IHD and dyslipidaemia were statistically significant (p<0.05) among three groups. The mean height, weight, hip waist and waist: hip ratio were statistically significant (p<0.05) among three groups. The mean BMI was found 20.8±4.5 kg/m2 in rural, 20.5±3.2 kg/m2 in Sub-urban and 22.7±3.7 kg/m2 in urban area. The difference was statistically significant (p<0.05) among three groups. The playing outdoor sports, football, cricket, chess, mobile /online games and others playing game were statistically significant (p<0.05) among three groups. The mean hemoglobin, FBS, S. cholesterol, LDL and ASO titre were statistically significant (p<0.05) among three groups. Among total subject 4(2.0%) subjects were found metabolic syndrome in rural area, 6(5.7%) in sub-urban and 14(7.2%) in urban area. The difference was statistically significant (p<0.05) among three groups.

Conclusion: This study demonstrates that metabolic syndrome may exist in up to 4.8% of the adolescent population of the area under study. It has been observed prevalence of the metabolic syndrome is higher in urban adolescents popular in rural adolescent populations indicating that this syndrome influenced by urbanization.


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