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Prevalence of diabetes mellitus and associated risk factors in Nepal: findings from a nationwide population-based survey

OBJECTIVES: The burden of diabetes mellitus (DM) has increased globally, particularly in low-income and middle-income countries, including Nepal. Population-based nationally representative data on the prevalence of DM is limited. This paper presents the prevalence of DM and its associated risk facto...

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Autores principales: Shrestha, Namuna, Karki, Khem, Poudyal, Anil, Aryal, Krishna Kumar, Mahato, Namra Kumar, Gautam, Nitisha, KC, Dirghayu, Gyanwali, Pradip, Dhimal, Meghnath, Jha, Anjani Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867329/
https://www.ncbi.nlm.nih.gov/pubmed/35193925
http://dx.doi.org/10.1136/bmjopen-2022-060750
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author Shrestha, Namuna
Karki, Khem
Poudyal, Anil
Aryal, Krishna Kumar
Mahato, Namra Kumar
Gautam, Nitisha
KC, Dirghayu
Gyanwali, Pradip
Dhimal, Meghnath
Jha, Anjani Kumar
author_facet Shrestha, Namuna
Karki, Khem
Poudyal, Anil
Aryal, Krishna Kumar
Mahato, Namra Kumar
Gautam, Nitisha
KC, Dirghayu
Gyanwali, Pradip
Dhimal, Meghnath
Jha, Anjani Kumar
author_sort Shrestha, Namuna
collection PubMed
description OBJECTIVES: The burden of diabetes mellitus (DM) has increased globally, particularly in low-income and middle-income countries, including Nepal. Population-based nationally representative data on the prevalence of DM is limited. This paper presents the prevalence of DM and its associated risk factors in Nepal. RESEARCH DESIGNS AND METHODS: This population-based study sampled 13 200 participants aged 20 years and above in 400 clusters of 72 districts of Nepal. The study used a standardised questionnaire adapted from the WHO STEPwise approach to non-communicable disease risk factor surveillance instrument and digitalised in Android-compatible mobile phones. Fasting and 2 hours postprandial blood samples were taken to test various biochemical parameters. Descriptive followed by multivariate analyses were done to assess the association between explanatory variables and the outcome variable. PRIMARY OUTCOME MEASURES: Prevalence of DM. RESULTS: The prevalence of DM was found to be 8.5% (95% CI 7.8% to 9.3%). The odds of DM occurrence were higher in the upper age groups (40–59 years at adjusted OR (AOR) 3.1 (95% CI2.3 to 4.2) and 60+ years at AOR 4.7 (95% CI 3.3 to 6.6)), compared with the group aged 20–39 years. Men were found to have higher odds of DM (AOR 1.3, 95% CI 1.1 to 1.6) compared with women. Urban residents had almost twice higher odds of DM (AOR 1.7, 95% CI 1.4 to 2.2) compared with rural residents. Participants with raised blood pressure (BP) (AOR 2.2, 95% CI 1.8 to 2.7), those who were overweight and obese (AOR 2.0, 95% CI 1.6 to 2.4) and those who had high triglycride level (≥150 mg/dL) (AOR 2.1, 95% CI 1.8 to 2.6) also had twice higher odds of DM compared with those with normal BP, an average body mass index and normal triglyceride level, respectively. CONCLUSIONS: Targeted interventions to higher risk groups as well as prevention and control of other associated biological risk factors might help to reduce the prevalence of DM in Nepal.
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spelling pubmed-88673292022-03-17 Prevalence of diabetes mellitus and associated risk factors in Nepal: findings from a nationwide population-based survey Shrestha, Namuna Karki, Khem Poudyal, Anil Aryal, Krishna Kumar Mahato, Namra Kumar Gautam, Nitisha KC, Dirghayu Gyanwali, Pradip Dhimal, Meghnath Jha, Anjani Kumar BMJ Open Diabetes and Endocrinology OBJECTIVES: The burden of diabetes mellitus (DM) has increased globally, particularly in low-income and middle-income countries, including Nepal. Population-based nationally representative data on the prevalence of DM is limited. This paper presents the prevalence of DM and its associated risk factors in Nepal. RESEARCH DESIGNS AND METHODS: This population-based study sampled 13 200 participants aged 20 years and above in 400 clusters of 72 districts of Nepal. The study used a standardised questionnaire adapted from the WHO STEPwise approach to non-communicable disease risk factor surveillance instrument and digitalised in Android-compatible mobile phones. Fasting and 2 hours postprandial blood samples were taken to test various biochemical parameters. Descriptive followed by multivariate analyses were done to assess the association between explanatory variables and the outcome variable. PRIMARY OUTCOME MEASURES: Prevalence of DM. RESULTS: The prevalence of DM was found to be 8.5% (95% CI 7.8% to 9.3%). The odds of DM occurrence were higher in the upper age groups (40–59 years at adjusted OR (AOR) 3.1 (95% CI2.3 to 4.2) and 60+ years at AOR 4.7 (95% CI 3.3 to 6.6)), compared with the group aged 20–39 years. Men were found to have higher odds of DM (AOR 1.3, 95% CI 1.1 to 1.6) compared with women. Urban residents had almost twice higher odds of DM (AOR 1.7, 95% CI 1.4 to 2.2) compared with rural residents. Participants with raised blood pressure (BP) (AOR 2.2, 95% CI 1.8 to 2.7), those who were overweight and obese (AOR 2.0, 95% CI 1.6 to 2.4) and those who had high triglycride level (≥150 mg/dL) (AOR 2.1, 95% CI 1.8 to 2.6) also had twice higher odds of DM compared with those with normal BP, an average body mass index and normal triglyceride level, respectively. CONCLUSIONS: Targeted interventions to higher risk groups as well as prevention and control of other associated biological risk factors might help to reduce the prevalence of DM in Nepal. BMJ Publishing Group 2022-02-22 /pmc/articles/PMC8867329/ /pubmed/35193925 http://dx.doi.org/10.1136/bmjopen-2022-060750 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Diabetes and Endocrinology
Shrestha, Namuna
Karki, Khem
Poudyal, Anil
Aryal, Krishna Kumar
Mahato, Namra Kumar
Gautam, Nitisha
KC, Dirghayu
Gyanwali, Pradip
Dhimal, Meghnath
Jha, Anjani Kumar
Prevalence of diabetes mellitus and associated risk factors in Nepal: findings from a nationwide population-based survey
title Prevalence of diabetes mellitus and associated risk factors in Nepal: findings from a nationwide population-based survey
title_full Prevalence of diabetes mellitus and associated risk factors in Nepal: findings from a nationwide population-based survey
title_fullStr Prevalence of diabetes mellitus and associated risk factors in Nepal: findings from a nationwide population-based survey
title_full_unstemmed Prevalence of diabetes mellitus and associated risk factors in Nepal: findings from a nationwide population-based survey
title_short Prevalence of diabetes mellitus and associated risk factors in Nepal: findings from a nationwide population-based survey
title_sort prevalence of diabetes mellitus and associated risk factors in nepal: findings from a nationwide population-based survey
topic Diabetes and Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867329/
https://www.ncbi.nlm.nih.gov/pubmed/35193925
http://dx.doi.org/10.1136/bmjopen-2022-060750
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