Cargando…
The burden and correlates of multiple cardiometabolic risk factors in a semi-urban population of Nepal: a community-based cross-sectional study
This study assessed the burden and correlates of three cardiometabolic risk factors, (hypertension, diabetes, and overweight/obesity), and their possible clustering patterns in a semi-urban population of Nepal. Data were obtained from a community-based management of non-communicable disease in Nepal...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814741/ https://www.ncbi.nlm.nih.gov/pubmed/31653888 http://dx.doi.org/10.1038/s41598-019-51454-9 |
_version_ | 1783463045017632768 |
---|---|
author | Gyawali, Bishal Mishra, Shiva Raj Ghimire, Saruna Hansen, Martin Rune Hassan Shah, Kishor Jung Subedee, Koshal Chandra Soti, Pabitra Babu Neupane, Dinesh Kallestrup, Per |
author_facet | Gyawali, Bishal Mishra, Shiva Raj Ghimire, Saruna Hansen, Martin Rune Hassan Shah, Kishor Jung Subedee, Koshal Chandra Soti, Pabitra Babu Neupane, Dinesh Kallestrup, Per |
author_sort | Gyawali, Bishal |
collection | PubMed |
description | This study assessed the burden and correlates of three cardiometabolic risk factors, (hypertension, diabetes, and overweight/obesity), and their possible clustering patterns in a semi-urban population of Nepal. Data were obtained from a community-based management of non-communicable disease in Nepal (COBIN) Wave II study, which included 2,310 adults aged 25–64 years in a semi-urban area of Pokhara Metropolitan City of Nepal, using the World Health Organization-STEPS questionnaire. Unadjusted and adjusted binary logistic regression models were used to study the correlates of the individual risk factors and their clustering. The prevalence of hypertension, diabetes, and overweight/obesity was 34.5%, 11.7%, and 52.9%, respectively. In total, 68.2% of the participants had at least one risk factor and many participants had two risks in combination: 6.8% for ‘hypertension and diabetes’, 7.4% for ‘diabetes and overweight/obesity’ and 21.4% for ‘hypertension and overweight/obesity’. In total, 4.7% had all three risk factors. Janajati ethnicity (1.4–2.1 times), male gender (1.5 times) and family history of diabetes (1.4–3.4 times) were associated with presence of individual risk factors. Similarly, Janajati ethnicity (aOR: 4.31, 95% CI: 2.53–7.32), current smoking (aOR: 4.81, 95% CI: 2.27–10.21), and family history of diabetes (aOR: 4.60, 95% CI: 2.67–7.91) were associated with presence of all three risk factors. Our study found a high prevalence of all single and combined cardiometabolic risk factors in Nepal. It underlines the need to manage risk factors in aggregate and plan prevention activities targeting multiple risk factors. |
format | Online Article Text |
id | pubmed-6814741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68147412019-10-30 The burden and correlates of multiple cardiometabolic risk factors in a semi-urban population of Nepal: a community-based cross-sectional study Gyawali, Bishal Mishra, Shiva Raj Ghimire, Saruna Hansen, Martin Rune Hassan Shah, Kishor Jung Subedee, Koshal Chandra Soti, Pabitra Babu Neupane, Dinesh Kallestrup, Per Sci Rep Article This study assessed the burden and correlates of three cardiometabolic risk factors, (hypertension, diabetes, and overweight/obesity), and their possible clustering patterns in a semi-urban population of Nepal. Data were obtained from a community-based management of non-communicable disease in Nepal (COBIN) Wave II study, which included 2,310 adults aged 25–64 years in a semi-urban area of Pokhara Metropolitan City of Nepal, using the World Health Organization-STEPS questionnaire. Unadjusted and adjusted binary logistic regression models were used to study the correlates of the individual risk factors and their clustering. The prevalence of hypertension, diabetes, and overweight/obesity was 34.5%, 11.7%, and 52.9%, respectively. In total, 68.2% of the participants had at least one risk factor and many participants had two risks in combination: 6.8% for ‘hypertension and diabetes’, 7.4% for ‘diabetes and overweight/obesity’ and 21.4% for ‘hypertension and overweight/obesity’. In total, 4.7% had all three risk factors. Janajati ethnicity (1.4–2.1 times), male gender (1.5 times) and family history of diabetes (1.4–3.4 times) were associated with presence of individual risk factors. Similarly, Janajati ethnicity (aOR: 4.31, 95% CI: 2.53–7.32), current smoking (aOR: 4.81, 95% CI: 2.27–10.21), and family history of diabetes (aOR: 4.60, 95% CI: 2.67–7.91) were associated with presence of all three risk factors. Our study found a high prevalence of all single and combined cardiometabolic risk factors in Nepal. It underlines the need to manage risk factors in aggregate and plan prevention activities targeting multiple risk factors. Nature Publishing Group UK 2019-10-25 /pmc/articles/PMC6814741/ /pubmed/31653888 http://dx.doi.org/10.1038/s41598-019-51454-9 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Gyawali, Bishal Mishra, Shiva Raj Ghimire, Saruna Hansen, Martin Rune Hassan Shah, Kishor Jung Subedee, Koshal Chandra Soti, Pabitra Babu Neupane, Dinesh Kallestrup, Per The burden and correlates of multiple cardiometabolic risk factors in a semi-urban population of Nepal: a community-based cross-sectional study |
title | The burden and correlates of multiple cardiometabolic risk factors in a semi-urban population of Nepal: a community-based cross-sectional study |
title_full | The burden and correlates of multiple cardiometabolic risk factors in a semi-urban population of Nepal: a community-based cross-sectional study |
title_fullStr | The burden and correlates of multiple cardiometabolic risk factors in a semi-urban population of Nepal: a community-based cross-sectional study |
title_full_unstemmed | The burden and correlates of multiple cardiometabolic risk factors in a semi-urban population of Nepal: a community-based cross-sectional study |
title_short | The burden and correlates of multiple cardiometabolic risk factors in a semi-urban population of Nepal: a community-based cross-sectional study |
title_sort | burden and correlates of multiple cardiometabolic risk factors in a semi-urban population of nepal: a community-based cross-sectional study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814741/ https://www.ncbi.nlm.nih.gov/pubmed/31653888 http://dx.doi.org/10.1038/s41598-019-51454-9 |
work_keys_str_mv | AT gyawalibishal theburdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT mishrashivaraj theburdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT ghimiresaruna theburdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT hansenmartinrunehassan theburdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT shahkishorjung theburdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT subedeekoshalchandra theburdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT sotipabitrababu theburdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT neupanedinesh theburdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT kallestrupper theburdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT gyawalibishal burdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT mishrashivaraj burdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT ghimiresaruna burdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT hansenmartinrunehassan burdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT shahkishorjung burdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT subedeekoshalchandra burdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT sotipabitrababu burdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT neupanedinesh burdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy AT kallestrupper burdenandcorrelatesofmultiplecardiometabolicriskfactorsinasemiurbanpopulationofnepalacommunitybasedcrosssectionalstudy |