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Association of Obesity and Metabolic Syndrome among Urban Dwellers of Rishikesh, Uttarakhand

BACKGROUND: Noncommunicable diseases include heart disease, stroke, cancer, diabetes, and chronic lung diseases and are collectively responsible for almost 70% of all deaths worldwide. Metabolic syndrome (MetS) predisposes to coronary artery disease irrespective of age, gender, or family history of...

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Autores principales: Dakshinamurthy, Senkadhirdasan, Saxena, Vartika, Kumari, Ranjeeta, Mirza, Anissa Atif, Dhar, Minakshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877420/
https://www.ncbi.nlm.nih.gov/pubmed/33623213
http://dx.doi.org/10.4103/ijcm.IJCM_24_20
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author Dakshinamurthy, Senkadhirdasan
Saxena, Vartika
Kumari, Ranjeeta
Mirza, Anissa Atif
Dhar, Minakshi
author_facet Dakshinamurthy, Senkadhirdasan
Saxena, Vartika
Kumari, Ranjeeta
Mirza, Anissa Atif
Dhar, Minakshi
author_sort Dakshinamurthy, Senkadhirdasan
collection PubMed
description BACKGROUND: Noncommunicable diseases include heart disease, stroke, cancer, diabetes, and chronic lung diseases and are collectively responsible for almost 70% of all deaths worldwide. Metabolic syndrome (MetS) predisposes to coronary artery disease irrespective of age, gender, or family history of diabetes. AIM AND OBJECTIVES: The aims of this study were as follows: (1) to assess the prevalence and its predictors of obesity among the urban population, (2) to analyze the association of obesity with MetS, and (3) to analyze the correlation of obesity with different components of MetS. MATERIALS AND METHODS: A community-based cross-sectional study was conducted in an urban area of Rishikesh. The World Health Organization STEPS instrument and protocol were used for the assessment of risk factors and measurements. The sample size was calculated to be 478. Data were analyzed using SPSS version 20.0. Appropriate statistical tests for bivariate and multivariate analysis were done. P < 0.05 was considered statistically significant. RESULTS: The prevalence of MetS among obese individuals was significantly higher (57%) according to the National Cholesterol Educational Program Adult Treatment Panel 3 definition (P < 0.001). The prevalence of MetS in male and female obesity was 56.8% and 57.1%, respectively. Body mass index was significantly correlated with systolic blood pressure (BP) (r = 0.238, P = 0.001), diastolic BP (r = 0.281, P = 0.001), Fasting blood glucose (FBG) (r = 0.136, P = 0.003), and triglycerideTriglycerides (TG) (r = 0.12, P = 0.009) and negatively correlated with High Density Lipoproteins (HDL) (r = −0.041, P = 0.37). Whereas, waist–hip ratio was significantly correlated with systolic BP (r = 0.277, P = 0.001), diastolic BP (r = 0.251, P = 0.001), FBG (r = 0.232, P = 0.001), and TG (r = 0.273, P = 0.001) and not with HDL (r = 0.033, P = 0.466). CONCLUSIONS: As the prevalence of MetS is higher among obese individuals, health interventions required to reduce the morbidity/mortality and need to be addressed in adult populations.
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spelling pubmed-78774202021-02-22 Association of Obesity and Metabolic Syndrome among Urban Dwellers of Rishikesh, Uttarakhand Dakshinamurthy, Senkadhirdasan Saxena, Vartika Kumari, Ranjeeta Mirza, Anissa Atif Dhar, Minakshi Indian J Community Med Original Article BACKGROUND: Noncommunicable diseases include heart disease, stroke, cancer, diabetes, and chronic lung diseases and are collectively responsible for almost 70% of all deaths worldwide. Metabolic syndrome (MetS) predisposes to coronary artery disease irrespective of age, gender, or family history of diabetes. AIM AND OBJECTIVES: The aims of this study were as follows: (1) to assess the prevalence and its predictors of obesity among the urban population, (2) to analyze the association of obesity with MetS, and (3) to analyze the correlation of obesity with different components of MetS. MATERIALS AND METHODS: A community-based cross-sectional study was conducted in an urban area of Rishikesh. The World Health Organization STEPS instrument and protocol were used for the assessment of risk factors and measurements. The sample size was calculated to be 478. Data were analyzed using SPSS version 20.0. Appropriate statistical tests for bivariate and multivariate analysis were done. P < 0.05 was considered statistically significant. RESULTS: The prevalence of MetS among obese individuals was significantly higher (57%) according to the National Cholesterol Educational Program Adult Treatment Panel 3 definition (P < 0.001). The prevalence of MetS in male and female obesity was 56.8% and 57.1%, respectively. Body mass index was significantly correlated with systolic blood pressure (BP) (r = 0.238, P = 0.001), diastolic BP (r = 0.281, P = 0.001), Fasting blood glucose (FBG) (r = 0.136, P = 0.003), and triglycerideTriglycerides (TG) (r = 0.12, P = 0.009) and negatively correlated with High Density Lipoproteins (HDL) (r = −0.041, P = 0.37). Whereas, waist–hip ratio was significantly correlated with systolic BP (r = 0.277, P = 0.001), diastolic BP (r = 0.251, P = 0.001), FBG (r = 0.232, P = 0.001), and TG (r = 0.273, P = 0.001) and not with HDL (r = 0.033, P = 0.466). CONCLUSIONS: As the prevalence of MetS is higher among obese individuals, health interventions required to reduce the morbidity/mortality and need to be addressed in adult populations. Wolters Kluwer - Medknow 2020 2020-10-28 /pmc/articles/PMC7877420/ /pubmed/33623213 http://dx.doi.org/10.4103/ijcm.IJCM_24_20 Text en Copyright: © 2020 Indian Journal of Community Medicine http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Dakshinamurthy, Senkadhirdasan
Saxena, Vartika
Kumari, Ranjeeta
Mirza, Anissa Atif
Dhar, Minakshi
Association of Obesity and Metabolic Syndrome among Urban Dwellers of Rishikesh, Uttarakhand
title Association of Obesity and Metabolic Syndrome among Urban Dwellers of Rishikesh, Uttarakhand
title_full Association of Obesity and Metabolic Syndrome among Urban Dwellers of Rishikesh, Uttarakhand
title_fullStr Association of Obesity and Metabolic Syndrome among Urban Dwellers of Rishikesh, Uttarakhand
title_full_unstemmed Association of Obesity and Metabolic Syndrome among Urban Dwellers of Rishikesh, Uttarakhand
title_short Association of Obesity and Metabolic Syndrome among Urban Dwellers of Rishikesh, Uttarakhand
title_sort association of obesity and metabolic syndrome among urban dwellers of rishikesh, uttarakhand
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877420/
https://www.ncbi.nlm.nih.gov/pubmed/33623213
http://dx.doi.org/10.4103/ijcm.IJCM_24_20
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