Cargando…

Prevalence and risk determinants of metabolic syndrome in obese worksite workers in hill city of Himachal Pradesh, India

OBJECTIVE: We report prevalence and risk factors of metabolic syndrome (MS) in the obese workforce of organized sector in hill city of Himachal Pradesh (HP), India. METHODS: The cross-sectional survey study of employees of organized sectors in Shimla city of HP, India, was conducted to collect data...

Descripción completa

Detalles Bibliográficos
Autores principales: Negi, P.C., Sondhi, Sachin, Merwaha, Rajeev, Asotra, Sanjeev
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6477127/
https://www.ncbi.nlm.nih.gov/pubmed/31000182
http://dx.doi.org/10.1016/j.ihj.2019.01.001
_version_ 1783413004994347008
author Negi, P.C.
Sondhi, Sachin
Merwaha, Rajeev
Asotra, Sanjeev
author_facet Negi, P.C.
Sondhi, Sachin
Merwaha, Rajeev
Asotra, Sanjeev
author_sort Negi, P.C.
collection PubMed
description OBJECTIVE: We report prevalence and risk factors of metabolic syndrome (MS) in the obese workforce of organized sector in hill city of Himachal Pradesh (HP), India. METHODS: The cross-sectional survey study of employees of organized sectors in Shimla city of HP, India, was conducted to collect data of demographics, health behavior, psychosocial factors, anthropometry, blood pressure, and blood chemistry to measure blood glucose and lipid profile in fasting state in 3004 employees using validated tools. Out of 3004 subjects screened, data of 418 subjects with body mass index of ≥30 are analyzed to estimate the prevalence of MS and its risk determinants. The association of demographics, health behavior, and psychosocial factors as the risk determinants were analyzed using multivariable logistic regression modeling. RESULTS: MS was prevalent in 57.6% [95% confidence interval (CI): 52.8%–62.3%]. The central obesity (odds ratio: 10.6, 95% CI: 2.32–48.4) and consumption of frequent or daily alcohol (odds ratio: 1.94, 95% CI: 1.05–3.59),and extra salt (odds ratio: 3.34, 95% CI: 1.09–10.2) were independent risk factors for MS. The consumption of tobacco, vegetables, sugar-sweetened drinks, physical inactivity, and psychosocial factors had no significant association with MS in obese population. CONCLUSIONS: MS is highly prevalent among obese employees of organized sector. The consumption of alcohol and extra salt were major behavioral risk factors for MS and therefore have important implications in behavioral modifications for prevention of MS among obese employees in organized sectors.
format Online
Article
Text
id pubmed-6477127
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-64771272020-01-01 Prevalence and risk determinants of metabolic syndrome in obese worksite workers in hill city of Himachal Pradesh, India Negi, P.C. Sondhi, Sachin Merwaha, Rajeev Asotra, Sanjeev Indian Heart J Original Article OBJECTIVE: We report prevalence and risk factors of metabolic syndrome (MS) in the obese workforce of organized sector in hill city of Himachal Pradesh (HP), India. METHODS: The cross-sectional survey study of employees of organized sectors in Shimla city of HP, India, was conducted to collect data of demographics, health behavior, psychosocial factors, anthropometry, blood pressure, and blood chemistry to measure blood glucose and lipid profile in fasting state in 3004 employees using validated tools. Out of 3004 subjects screened, data of 418 subjects with body mass index of ≥30 are analyzed to estimate the prevalence of MS and its risk determinants. The association of demographics, health behavior, and psychosocial factors as the risk determinants were analyzed using multivariable logistic regression modeling. RESULTS: MS was prevalent in 57.6% [95% confidence interval (CI): 52.8%–62.3%]. The central obesity (odds ratio: 10.6, 95% CI: 2.32–48.4) and consumption of frequent or daily alcohol (odds ratio: 1.94, 95% CI: 1.05–3.59),and extra salt (odds ratio: 3.34, 95% CI: 1.09–10.2) were independent risk factors for MS. The consumption of tobacco, vegetables, sugar-sweetened drinks, physical inactivity, and psychosocial factors had no significant association with MS in obese population. CONCLUSIONS: MS is highly prevalent among obese employees of organized sector. The consumption of alcohol and extra salt were major behavioral risk factors for MS and therefore have important implications in behavioral modifications for prevention of MS among obese employees in organized sectors. Elsevier 2019 2019-01-25 /pmc/articles/PMC6477127/ /pubmed/31000182 http://dx.doi.org/10.1016/j.ihj.2019.01.001 Text en © 2019 Published by Elsevier B.V. on behalf of Cardiological Society of India. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Negi, P.C.
Sondhi, Sachin
Merwaha, Rajeev
Asotra, Sanjeev
Prevalence and risk determinants of metabolic syndrome in obese worksite workers in hill city of Himachal Pradesh, India
title Prevalence and risk determinants of metabolic syndrome in obese worksite workers in hill city of Himachal Pradesh, India
title_full Prevalence and risk determinants of metabolic syndrome in obese worksite workers in hill city of Himachal Pradesh, India
title_fullStr Prevalence and risk determinants of metabolic syndrome in obese worksite workers in hill city of Himachal Pradesh, India
title_full_unstemmed Prevalence and risk determinants of metabolic syndrome in obese worksite workers in hill city of Himachal Pradesh, India
title_short Prevalence and risk determinants of metabolic syndrome in obese worksite workers in hill city of Himachal Pradesh, India
title_sort prevalence and risk determinants of metabolic syndrome in obese worksite workers in hill city of himachal pradesh, india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6477127/
https://www.ncbi.nlm.nih.gov/pubmed/31000182
http://dx.doi.org/10.1016/j.ihj.2019.01.001
work_keys_str_mv AT negipc prevalenceandriskdeterminantsofmetabolicsyndromeinobeseworksiteworkersinhillcityofhimachalpradeshindia
AT sondhisachin prevalenceandriskdeterminantsofmetabolicsyndromeinobeseworksiteworkersinhillcityofhimachalpradeshindia
AT merwaharajeev prevalenceandriskdeterminantsofmetabolicsyndromeinobeseworksiteworkersinhillcityofhimachalpradeshindia
AT asotrasanjeev prevalenceandriskdeterminantsofmetabolicsyndromeinobeseworksiteworkersinhillcityofhimachalpradeshindia