Cargando…

Prevalence of Pediatric Metabolic Syndrome and Associated Risk Factors among School-Age Children of 10–16 Years Living in District Shimla, Himachal Pradesh, India

INTRODUCTION: Recently, an increasing trend in the prevalence of pediatric metabolic syndrome (PMS) among school-age children has been documented in different parts of India. There is lack of data on the prevalence of PMS and its associated risk factors among school-age children living in district S...

Descripción completa

Detalles Bibliográficos
Autores principales: Gupta, Anmol, Sachdeva, Amit, Mahajan, Narender, Gupta, Aakriti, Sareen, Neha, Pandey, Ravindra Mohan, Ramakrishnan, Lakshmy, Sati, Hem Chandra, Sharma, Brij, Sharma, Neetu, Kapil, Umesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063189/
https://www.ncbi.nlm.nih.gov/pubmed/30090730
http://dx.doi.org/10.4103/ijem.IJEM_251_17
_version_ 1783342511069069312
author Gupta, Anmol
Sachdeva, Amit
Mahajan, Narender
Gupta, Aakriti
Sareen, Neha
Pandey, Ravindra Mohan
Ramakrishnan, Lakshmy
Sati, Hem Chandra
Sharma, Brij
Sharma, Neetu
Kapil, Umesh
author_facet Gupta, Anmol
Sachdeva, Amit
Mahajan, Narender
Gupta, Aakriti
Sareen, Neha
Pandey, Ravindra Mohan
Ramakrishnan, Lakshmy
Sati, Hem Chandra
Sharma, Brij
Sharma, Neetu
Kapil, Umesh
author_sort Gupta, Anmol
collection PubMed
description INTRODUCTION: Recently, an increasing trend in the prevalence of pediatric metabolic syndrome (PMS) among school-age children has been documented in different parts of India. There is lack of data on the prevalence of PMS and its associated risk factors among school-age children living in district Shimla, Himachal Pradesh. Hence, to fill in the gap in the existing knowledge, the present study was conducted. METHODOLOGY: A cross-sectional study was conducted during 2015–2016. Thirty clusters (schools) were identified from a list of all schools using population proportionate to size sampling methodology. From each school, 70 children in the age group of 10–16 years were selected. Data was collected on the sociodemographic characteristics, anthropometry, waist circumference, blood pressure, and physical activity. Fasting venous blood samples were collected for estimation of blood glucose, triglycerides, and high-density lipoprotein levels. RESULTS: The prevalence of PMS using International Diabetes Federation classification was 3.3% and using modified-adult treatment panel classification criteria was 3.5%. Risk factors identified to be associated with PMS among school-age children were (i) male gender, (ii) high family monthly income, (iii) sedentary lifestyle, (iv) consumption of evening snack, (v) television/computer viewing, and (vi) motorized transportation for commuting to school. CONCLUSION: The PMS prevalence was 3.3% in school-age children residing in District Shimla. There is a need to formulate interventions to prevent and correct metabolic syndrome among them for reducing early onset of cardiovascular disease during adulthood.
format Online
Article
Text
id pubmed-6063189
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Medknow Publications & Media Pvt Ltd
record_format MEDLINE/PubMed
spelling pubmed-60631892018-08-08 Prevalence of Pediatric Metabolic Syndrome and Associated Risk Factors among School-Age Children of 10–16 Years Living in District Shimla, Himachal Pradesh, India Gupta, Anmol Sachdeva, Amit Mahajan, Narender Gupta, Aakriti Sareen, Neha Pandey, Ravindra Mohan Ramakrishnan, Lakshmy Sati, Hem Chandra Sharma, Brij Sharma, Neetu Kapil, Umesh Indian J Endocrinol Metab Original Article INTRODUCTION: Recently, an increasing trend in the prevalence of pediatric metabolic syndrome (PMS) among school-age children has been documented in different parts of India. There is lack of data on the prevalence of PMS and its associated risk factors among school-age children living in district Shimla, Himachal Pradesh. Hence, to fill in the gap in the existing knowledge, the present study was conducted. METHODOLOGY: A cross-sectional study was conducted during 2015–2016. Thirty clusters (schools) were identified from a list of all schools using population proportionate to size sampling methodology. From each school, 70 children in the age group of 10–16 years were selected. Data was collected on the sociodemographic characteristics, anthropometry, waist circumference, blood pressure, and physical activity. Fasting venous blood samples were collected for estimation of blood glucose, triglycerides, and high-density lipoprotein levels. RESULTS: The prevalence of PMS using International Diabetes Federation classification was 3.3% and using modified-adult treatment panel classification criteria was 3.5%. Risk factors identified to be associated with PMS among school-age children were (i) male gender, (ii) high family monthly income, (iii) sedentary lifestyle, (iv) consumption of evening snack, (v) television/computer viewing, and (vi) motorized transportation for commuting to school. CONCLUSION: The PMS prevalence was 3.3% in school-age children residing in District Shimla. There is a need to formulate interventions to prevent and correct metabolic syndrome among them for reducing early onset of cardiovascular disease during adulthood. Medknow Publications & Media Pvt Ltd 2018 /pmc/articles/PMC6063189/ /pubmed/30090730 http://dx.doi.org/10.4103/ijem.IJEM_251_17 Text en Copyright: © 2018 Indian Journal of Endocrinology and Metabolism 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
Gupta, Anmol
Sachdeva, Amit
Mahajan, Narender
Gupta, Aakriti
Sareen, Neha
Pandey, Ravindra Mohan
Ramakrishnan, Lakshmy
Sati, Hem Chandra
Sharma, Brij
Sharma, Neetu
Kapil, Umesh
Prevalence of Pediatric Metabolic Syndrome and Associated Risk Factors among School-Age Children of 10–16 Years Living in District Shimla, Himachal Pradesh, India
title Prevalence of Pediatric Metabolic Syndrome and Associated Risk Factors among School-Age Children of 10–16 Years Living in District Shimla, Himachal Pradesh, India
title_full Prevalence of Pediatric Metabolic Syndrome and Associated Risk Factors among School-Age Children of 10–16 Years Living in District Shimla, Himachal Pradesh, India
title_fullStr Prevalence of Pediatric Metabolic Syndrome and Associated Risk Factors among School-Age Children of 10–16 Years Living in District Shimla, Himachal Pradesh, India
title_full_unstemmed Prevalence of Pediatric Metabolic Syndrome and Associated Risk Factors among School-Age Children of 10–16 Years Living in District Shimla, Himachal Pradesh, India
title_short Prevalence of Pediatric Metabolic Syndrome and Associated Risk Factors among School-Age Children of 10–16 Years Living in District Shimla, Himachal Pradesh, India
title_sort prevalence of pediatric metabolic syndrome and associated risk factors among school-age children of 10–16 years living in district shimla, himachal pradesh, india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063189/
https://www.ncbi.nlm.nih.gov/pubmed/30090730
http://dx.doi.org/10.4103/ijem.IJEM_251_17
work_keys_str_mv AT guptaanmol prevalenceofpediatricmetabolicsyndromeandassociatedriskfactorsamongschoolagechildrenof1016yearslivingindistrictshimlahimachalpradeshindia
AT sachdevaamit prevalenceofpediatricmetabolicsyndromeandassociatedriskfactorsamongschoolagechildrenof1016yearslivingindistrictshimlahimachalpradeshindia
AT mahajannarender prevalenceofpediatricmetabolicsyndromeandassociatedriskfactorsamongschoolagechildrenof1016yearslivingindistrictshimlahimachalpradeshindia
AT guptaaakriti prevalenceofpediatricmetabolicsyndromeandassociatedriskfactorsamongschoolagechildrenof1016yearslivingindistrictshimlahimachalpradeshindia
AT sareenneha prevalenceofpediatricmetabolicsyndromeandassociatedriskfactorsamongschoolagechildrenof1016yearslivingindistrictshimlahimachalpradeshindia
AT pandeyravindramohan prevalenceofpediatricmetabolicsyndromeandassociatedriskfactorsamongschoolagechildrenof1016yearslivingindistrictshimlahimachalpradeshindia
AT ramakrishnanlakshmy prevalenceofpediatricmetabolicsyndromeandassociatedriskfactorsamongschoolagechildrenof1016yearslivingindistrictshimlahimachalpradeshindia
AT satihemchandra prevalenceofpediatricmetabolicsyndromeandassociatedriskfactorsamongschoolagechildrenof1016yearslivingindistrictshimlahimachalpradeshindia
AT sharmabrij prevalenceofpediatricmetabolicsyndromeandassociatedriskfactorsamongschoolagechildrenof1016yearslivingindistrictshimlahimachalpradeshindia
AT sharmaneetu prevalenceofpediatricmetabolicsyndromeandassociatedriskfactorsamongschoolagechildrenof1016yearslivingindistrictshimlahimachalpradeshindia
AT kapilumesh prevalenceofpediatricmetabolicsyndromeandassociatedriskfactorsamongschoolagechildrenof1016yearslivingindistrictshimlahimachalpradeshindia