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Metabolic syndrome among Sri Lankan adults: prevalence, patterns and correlates

Metabolic Syndrome (MS) increases the risk for Coronary Artery Disease, stroke and diabetes. MS is twice more common amongst South Asian immigrants in US compared to native Caucasians. There are no nationally representative studies on prevalence of MS from any of the South Asian countries. The prese...

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Autores principales: Katulanda, Prasad, Ranasinghe, Priyanga, Jayawardana, Ranil, Sheriff, Rezvi, Matthews, David R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3407762/
https://www.ncbi.nlm.nih.gov/pubmed/22650800
http://dx.doi.org/10.1186/1758-5996-4-24
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author Katulanda, Prasad
Ranasinghe, Priyanga
Jayawardana, Ranil
Sheriff, Rezvi
Matthews, David R
author_facet Katulanda, Prasad
Ranasinghe, Priyanga
Jayawardana, Ranil
Sheriff, Rezvi
Matthews, David R
author_sort Katulanda, Prasad
collection PubMed
description Metabolic Syndrome (MS) increases the risk for Coronary Artery Disease, stroke and diabetes. MS is twice more common amongst South Asian immigrants in US compared to native Caucasians. There are no nationally representative studies on prevalence of MS from any of the South Asian countries. The present study aims to evaluate the prevalence of MS among Sri Lankan adults and investigates its relationships with socio-demographic, clinical and biochemical parameters. Data on MS and its associated details were obtained from a population-based cross-sectional study conducted between years 2005–2006. MS was defined according to the International Diabetes Federation criteria. A binary logistic regression analysis was performed using the dichotomous variable MS (0 = absent, 1 = present). The independent co-variants were: gender, age category, area of residence, ethnicity, level of education, income and physical activity. Sample size was 4,485 (Response rate–89.7%), 39.5% were males and mean age was 46.1 ± 15.1 years. The crude prevalence of MS was 27.1% (95% CI: 25.8–28.5), and age-adjusted prevalence was 24.3% (95% CI: 23.0–25.6). Prevalence in males and females were 18.4% (95% CI: 16.5–20.3) and 28.3% (95% CI: 26.6–30.0) respectively (p < 0.001). Urban adults (34.8% [95% CI: 31.8–37.9]) had a significantly higher prevalence than rural adults (21.6% [95% CI: 20.2–23.0]). Among ethnic groups, the highest prevalence of MS was observed in Sri Lankan Moors (43.0% [95% CI: 37.2–48.9]). In all adults, MS was observed in those with the highest level of education and monthly household income. Prevalence of MS in the different physical activity categories of the IPAQ were; ‘inactive’–38.8% (95% CI 34.5-43.2), ‘moderately active’–33.5% (95% CI 30.9-36.1) and ‘active’–21.1% (95% CI 19.6-22.7). The results of the binary logistic regression analysis indicates that female gender (OR:1.7), increasing age, urban living (OR:1.7), Moor ethnicity (OR:2.6), secondary (OR:1.5) and tertiary levels of education (OR:2.3), monthly household income LKR 7,000–24,999 (OR:1.5) and >50,000 (OR:2.1), and physical inactivity (OR:1.6), all significantly increased risk of developing MS. MS is common among Sri Lankan adults affecting nearly one-fourth of the population. Female gender, increasing age, urban living, higher socio-economical status and physical inactivity were important associated factors.
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spelling pubmed-34077622012-07-30 Metabolic syndrome among Sri Lankan adults: prevalence, patterns and correlates Katulanda, Prasad Ranasinghe, Priyanga Jayawardana, Ranil Sheriff, Rezvi Matthews, David R Diabetol Metab Syndr Research Metabolic Syndrome (MS) increases the risk for Coronary Artery Disease, stroke and diabetes. MS is twice more common amongst South Asian immigrants in US compared to native Caucasians. There are no nationally representative studies on prevalence of MS from any of the South Asian countries. The present study aims to evaluate the prevalence of MS among Sri Lankan adults and investigates its relationships with socio-demographic, clinical and biochemical parameters. Data on MS and its associated details were obtained from a population-based cross-sectional study conducted between years 2005–2006. MS was defined according to the International Diabetes Federation criteria. A binary logistic regression analysis was performed using the dichotomous variable MS (0 = absent, 1 = present). The independent co-variants were: gender, age category, area of residence, ethnicity, level of education, income and physical activity. Sample size was 4,485 (Response rate–89.7%), 39.5% were males and mean age was 46.1 ± 15.1 years. The crude prevalence of MS was 27.1% (95% CI: 25.8–28.5), and age-adjusted prevalence was 24.3% (95% CI: 23.0–25.6). Prevalence in males and females were 18.4% (95% CI: 16.5–20.3) and 28.3% (95% CI: 26.6–30.0) respectively (p < 0.001). Urban adults (34.8% [95% CI: 31.8–37.9]) had a significantly higher prevalence than rural adults (21.6% [95% CI: 20.2–23.0]). Among ethnic groups, the highest prevalence of MS was observed in Sri Lankan Moors (43.0% [95% CI: 37.2–48.9]). In all adults, MS was observed in those with the highest level of education and monthly household income. Prevalence of MS in the different physical activity categories of the IPAQ were; ‘inactive’–38.8% (95% CI 34.5-43.2), ‘moderately active’–33.5% (95% CI 30.9-36.1) and ‘active’–21.1% (95% CI 19.6-22.7). The results of the binary logistic regression analysis indicates that female gender (OR:1.7), increasing age, urban living (OR:1.7), Moor ethnicity (OR:2.6), secondary (OR:1.5) and tertiary levels of education (OR:2.3), monthly household income LKR 7,000–24,999 (OR:1.5) and >50,000 (OR:2.1), and physical inactivity (OR:1.6), all significantly increased risk of developing MS. MS is common among Sri Lankan adults affecting nearly one-fourth of the population. Female gender, increasing age, urban living, higher socio-economical status and physical inactivity were important associated factors. BioMed Central 2012-05-31 /pmc/articles/PMC3407762/ /pubmed/22650800 http://dx.doi.org/10.1186/1758-5996-4-24 Text en Copyright ©2012 Katulanda et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Katulanda, Prasad
Ranasinghe, Priyanga
Jayawardana, Ranil
Sheriff, Rezvi
Matthews, David R
Metabolic syndrome among Sri Lankan adults: prevalence, patterns and correlates
title Metabolic syndrome among Sri Lankan adults: prevalence, patterns and correlates
title_full Metabolic syndrome among Sri Lankan adults: prevalence, patterns and correlates
title_fullStr Metabolic syndrome among Sri Lankan adults: prevalence, patterns and correlates
title_full_unstemmed Metabolic syndrome among Sri Lankan adults: prevalence, patterns and correlates
title_short Metabolic syndrome among Sri Lankan adults: prevalence, patterns and correlates
title_sort metabolic syndrome among sri lankan adults: prevalence, patterns and correlates
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3407762/
https://www.ncbi.nlm.nih.gov/pubmed/22650800
http://dx.doi.org/10.1186/1758-5996-4-24
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