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Prevalence and correlates of cardiometabolic multimorbidity among hypertensive individuals: a cross-sectional study in rural South Asia—Bangladesh, Pakistan and Sri Lanka

OBJECTIVE: To determinate the prevalence and correlates of cardiometabolic multimorbidity (CMM), and their cross-country variation among individuals with hypertension residing in rural communities in South Asia. DESIGN: A cross-sectional study. SETTING: Rural communities in Bangladesh, Pakistan and...

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Autores principales: Feng, Liang, Jehan, Imtiaz, de Silva, H Asita, Naheed, Aliya, Farazdaq, Hamida, Hirani, Samina, Kasturiratne, Anuradhani, Ranasinha, Channa D, Islam, Md Tauhidul, Siddiquee, Ali Tanweer, Jafar, Tazeen H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6731877/
https://www.ncbi.nlm.nih.gov/pubmed/31488490
http://dx.doi.org/10.1136/bmjopen-2019-030584
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author Feng, Liang
Jehan, Imtiaz
de Silva, H Asita
Naheed, Aliya
Farazdaq, Hamida
Hirani, Samina
Kasturiratne, Anuradhani
Ranasinha, Channa D
Islam, Md Tauhidul
Siddiquee, Ali Tanweer
Jafar, Tazeen H
author_facet Feng, Liang
Jehan, Imtiaz
de Silva, H Asita
Naheed, Aliya
Farazdaq, Hamida
Hirani, Samina
Kasturiratne, Anuradhani
Ranasinha, Channa D
Islam, Md Tauhidul
Siddiquee, Ali Tanweer
Jafar, Tazeen H
author_sort Feng, Liang
collection PubMed
description OBJECTIVE: To determinate the prevalence and correlates of cardiometabolic multimorbidity (CMM), and their cross-country variation among individuals with hypertension residing in rural communities in South Asia. DESIGN: A cross-sectional study. SETTING: Rural communities in Bangladesh, Pakistan and Sri Lanka. PARTICIPANTS: A total of 2288 individuals with hypertension aged ≥40 years from the ongoing Control of Blood Pressure and Risk Attenuation- Bangladesh, Pakistan and Sri Lanka clinical trial. MAIN OUTCOME MEASURES: CMM was defined as the presence of ≥2 of the conditions: diabetes, chronic kidney disease, heart disease and stroke. Logistic regression was done to evaluate the correlates of CMM. RESULTS: About 25.4% (95% CI 23.6% to 27.2%) of the hypertensive individuals had CMM. Factors positively associated with CMM included residing in Bangladesh (OR 3.42, 95% CI 2.52 to 4.65) or Sri Lankan (3.73, 95% CI 2.48 to 5.61) versus in Pakistan, advancing age (2.33, 95% CI 1.59 to 3.40 for 70 years and over vs 40–49 years), higher waist circumference (2.15, 95% CI 1.42 to 3.25) for Q2–Q3 and 2.14, 95% CI 1.50 to 3.06 for Q3 and above), statin use (2.43, 95% CI 1.84 to 3.22), and higher levels of triglyceride (1.01, 95% CI 1.01 to 1.02 per 5 mg/dL increase). A lower odds of CMM was associated with being physically active (0.75, 95% CI 0.57 to 0.97). A weak inverted J-shaped association between International Wealth Index and CMM was found (p for non-linear=0.058), suggesting higher risk in the middle than higher or lower socioeconomic strata. CONCLUSIONS: CMM is highly prevalent in rural South Asians affecting one in four individuals with hypertension. There is an urgent need for strategies to concomitantly manage hypertension, cardiometabolic comorbid conditions and associated determinants in South Asia.
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spelling pubmed-67318772019-09-20 Prevalence and correlates of cardiometabolic multimorbidity among hypertensive individuals: a cross-sectional study in rural South Asia—Bangladesh, Pakistan and Sri Lanka Feng, Liang Jehan, Imtiaz de Silva, H Asita Naheed, Aliya Farazdaq, Hamida Hirani, Samina Kasturiratne, Anuradhani Ranasinha, Channa D Islam, Md Tauhidul Siddiquee, Ali Tanweer Jafar, Tazeen H BMJ Open Epidemiology OBJECTIVE: To determinate the prevalence and correlates of cardiometabolic multimorbidity (CMM), and their cross-country variation among individuals with hypertension residing in rural communities in South Asia. DESIGN: A cross-sectional study. SETTING: Rural communities in Bangladesh, Pakistan and Sri Lanka. PARTICIPANTS: A total of 2288 individuals with hypertension aged ≥40 years from the ongoing Control of Blood Pressure and Risk Attenuation- Bangladesh, Pakistan and Sri Lanka clinical trial. MAIN OUTCOME MEASURES: CMM was defined as the presence of ≥2 of the conditions: diabetes, chronic kidney disease, heart disease and stroke. Logistic regression was done to evaluate the correlates of CMM. RESULTS: About 25.4% (95% CI 23.6% to 27.2%) of the hypertensive individuals had CMM. Factors positively associated with CMM included residing in Bangladesh (OR 3.42, 95% CI 2.52 to 4.65) or Sri Lankan (3.73, 95% CI 2.48 to 5.61) versus in Pakistan, advancing age (2.33, 95% CI 1.59 to 3.40 for 70 years and over vs 40–49 years), higher waist circumference (2.15, 95% CI 1.42 to 3.25) for Q2–Q3 and 2.14, 95% CI 1.50 to 3.06 for Q3 and above), statin use (2.43, 95% CI 1.84 to 3.22), and higher levels of triglyceride (1.01, 95% CI 1.01 to 1.02 per 5 mg/dL increase). A lower odds of CMM was associated with being physically active (0.75, 95% CI 0.57 to 0.97). A weak inverted J-shaped association between International Wealth Index and CMM was found (p for non-linear=0.058), suggesting higher risk in the middle than higher or lower socioeconomic strata. CONCLUSIONS: CMM is highly prevalent in rural South Asians affecting one in four individuals with hypertension. There is an urgent need for strategies to concomitantly manage hypertension, cardiometabolic comorbid conditions and associated determinants in South Asia. BMJ Publishing Group 2019-09-04 /pmc/articles/PMC6731877/ /pubmed/31488490 http://dx.doi.org/10.1136/bmjopen-2019-030584 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 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/.
spellingShingle Epidemiology
Feng, Liang
Jehan, Imtiaz
de Silva, H Asita
Naheed, Aliya
Farazdaq, Hamida
Hirani, Samina
Kasturiratne, Anuradhani
Ranasinha, Channa D
Islam, Md Tauhidul
Siddiquee, Ali Tanweer
Jafar, Tazeen H
Prevalence and correlates of cardiometabolic multimorbidity among hypertensive individuals: a cross-sectional study in rural South Asia—Bangladesh, Pakistan and Sri Lanka
title Prevalence and correlates of cardiometabolic multimorbidity among hypertensive individuals: a cross-sectional study in rural South Asia—Bangladesh, Pakistan and Sri Lanka
title_full Prevalence and correlates of cardiometabolic multimorbidity among hypertensive individuals: a cross-sectional study in rural South Asia—Bangladesh, Pakistan and Sri Lanka
title_fullStr Prevalence and correlates of cardiometabolic multimorbidity among hypertensive individuals: a cross-sectional study in rural South Asia—Bangladesh, Pakistan and Sri Lanka
title_full_unstemmed Prevalence and correlates of cardiometabolic multimorbidity among hypertensive individuals: a cross-sectional study in rural South Asia—Bangladesh, Pakistan and Sri Lanka
title_short Prevalence and correlates of cardiometabolic multimorbidity among hypertensive individuals: a cross-sectional study in rural South Asia—Bangladesh, Pakistan and Sri Lanka
title_sort prevalence and correlates of cardiometabolic multimorbidity among hypertensive individuals: a cross-sectional study in rural south asia—bangladesh, pakistan and sri lanka
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6731877/
https://www.ncbi.nlm.nih.gov/pubmed/31488490
http://dx.doi.org/10.1136/bmjopen-2019-030584
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