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Trends in prevalence and clustering of modifiable cardiovascular disease risk factors across socioeconomic spectra in rural southwest China: a cross-sectional study
OBJECTIVES: This study aimed to determine the changing prevalence of clustering of cardiovascular disease (CVD) risk factors across socioeconomic spectra in rural southwest China. DESIGN: Data were collected from two waves of cross-sectional health interviews and examinations among individuals aged...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151950/ https://www.ncbi.nlm.nih.gov/pubmed/37105696 http://dx.doi.org/10.1136/bmjopen-2022-071152 |
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author | Le, Cai Liu, Lan Li, Guo-hui Zhao, Yi Wu, Xia Rabkin Golden, Allison |
author_facet | Le, Cai Liu, Lan Li, Guo-hui Zhao, Yi Wu, Xia Rabkin Golden, Allison |
author_sort | Le, Cai |
collection | PubMed |
description | OBJECTIVES: This study aimed to determine the changing prevalence of clustering of cardiovascular disease (CVD) risk factors across socioeconomic spectra in rural southwest China. DESIGN: Data were collected from two waves of cross-sectional health interviews and examinations among individuals aged ≥35 years in rural China. Anthropometric measurements, blood pressure and fasting blood sugar levels were recorded for each participant. SETTING: This study was conducted in rural Yunnan Province of China. PARTICIPANTS: 8187 individuals in 2011 and 7572 in 2021 consented to participate in this study. RESULTS: From 2011 to 2021, prevalence increased of hypertension (26.1% vs 41.6%), diabetes mellitus (5.9% vs 9.8%), obesity (5.9% vs 12.0%) and central obesity (50.0% vs 58.3%) (p<0.01), while prevalence decreased of current smoking (35.2% vs 29.6%), secondhand smoke exposure (42.6% vs 27.4%) and current drinking (26.6% vs 29.6%) (p<0.01). This decade also saw an increase in the prevalence of participants with clustering of ≥2 (61.8% vs 63.0%) and ≥3 CVD risk factors (28.4% vs 32.2%) (p<0.05). These increasing rates were also observed among subgroups categorised by sex, ethnicity, education level, income level and those ≥45 years of age (p<0.05). In both 2011 and 2021, male participants and participants with a lower education level had higher prevalence of clustering of ≥2 and ≥3 CVD risk factors than their counterparts (p<0.01). Ethnic minority participants and participants with higher annual income had higher prevalence of clustering of CVD risk factors in 2011 but presented opposite associations in 2021 (p<0.01). CONCLUSION: The prevalence of clustering of CVD risk factors increased substantially across all socioeconomic spectra in rural southwest China from 2011 to 2021. Future efforts to implement comprehensive lifestyle interventions to promote the prevention and control of CVD should in particular focus on men, those of Han ethnicity and those with low socioeconomic status. |
format | Online Article Text |
id | pubmed-10151950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-101519502023-05-03 Trends in prevalence and clustering of modifiable cardiovascular disease risk factors across socioeconomic spectra in rural southwest China: a cross-sectional study Le, Cai Liu, Lan Li, Guo-hui Zhao, Yi Wu, Xia Rabkin Golden, Allison BMJ Open Public Health OBJECTIVES: This study aimed to determine the changing prevalence of clustering of cardiovascular disease (CVD) risk factors across socioeconomic spectra in rural southwest China. DESIGN: Data were collected from two waves of cross-sectional health interviews and examinations among individuals aged ≥35 years in rural China. Anthropometric measurements, blood pressure and fasting blood sugar levels were recorded for each participant. SETTING: This study was conducted in rural Yunnan Province of China. PARTICIPANTS: 8187 individuals in 2011 and 7572 in 2021 consented to participate in this study. RESULTS: From 2011 to 2021, prevalence increased of hypertension (26.1% vs 41.6%), diabetes mellitus (5.9% vs 9.8%), obesity (5.9% vs 12.0%) and central obesity (50.0% vs 58.3%) (p<0.01), while prevalence decreased of current smoking (35.2% vs 29.6%), secondhand smoke exposure (42.6% vs 27.4%) and current drinking (26.6% vs 29.6%) (p<0.01). This decade also saw an increase in the prevalence of participants with clustering of ≥2 (61.8% vs 63.0%) and ≥3 CVD risk factors (28.4% vs 32.2%) (p<0.05). These increasing rates were also observed among subgroups categorised by sex, ethnicity, education level, income level and those ≥45 years of age (p<0.05). In both 2011 and 2021, male participants and participants with a lower education level had higher prevalence of clustering of ≥2 and ≥3 CVD risk factors than their counterparts (p<0.01). Ethnic minority participants and participants with higher annual income had higher prevalence of clustering of CVD risk factors in 2011 but presented opposite associations in 2021 (p<0.01). CONCLUSION: The prevalence of clustering of CVD risk factors increased substantially across all socioeconomic spectra in rural southwest China from 2011 to 2021. Future efforts to implement comprehensive lifestyle interventions to promote the prevention and control of CVD should in particular focus on men, those of Han ethnicity and those with low socioeconomic status. BMJ Publishing Group 2023-04-27 /pmc/articles/PMC10151950/ /pubmed/37105696 http://dx.doi.org/10.1136/bmjopen-2022-071152 Text en © Author(s) (or their employer(s)) 2023. 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 | Public Health Le, Cai Liu, Lan Li, Guo-hui Zhao, Yi Wu, Xia Rabkin Golden, Allison Trends in prevalence and clustering of modifiable cardiovascular disease risk factors across socioeconomic spectra in rural southwest China: a cross-sectional study |
title | Trends in prevalence and clustering of modifiable cardiovascular disease risk factors across socioeconomic spectra in rural southwest China: a cross-sectional study |
title_full | Trends in prevalence and clustering of modifiable cardiovascular disease risk factors across socioeconomic spectra in rural southwest China: a cross-sectional study |
title_fullStr | Trends in prevalence and clustering of modifiable cardiovascular disease risk factors across socioeconomic spectra in rural southwest China: a cross-sectional study |
title_full_unstemmed | Trends in prevalence and clustering of modifiable cardiovascular disease risk factors across socioeconomic spectra in rural southwest China: a cross-sectional study |
title_short | Trends in prevalence and clustering of modifiable cardiovascular disease risk factors across socioeconomic spectra in rural southwest China: a cross-sectional study |
title_sort | trends in prevalence and clustering of modifiable cardiovascular disease risk factors across socioeconomic spectra in rural southwest china: a cross-sectional study |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151950/ https://www.ncbi.nlm.nih.gov/pubmed/37105696 http://dx.doi.org/10.1136/bmjopen-2022-071152 |
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