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Sociodemographic and behavioral influences on multimorbidity among adult residents of northeastern China
BACKGROUND: Multimorbidity is defined as two or more chronic health conditions existing in an individual simultaneously. Multimorbidity has been associated with poor conditions, such as higher health care costs and the poor quality of life. Thus, identifying the risk factors of the multimorbidity is...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855562/ https://www.ncbi.nlm.nih.gov/pubmed/35177044 http://dx.doi.org/10.1186/s12889-022-12722-y |
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author | Shi, Jikang Guo, Yanbo Li, Zhen Liang, Zhuoshuai Pan, Lingfeng Yu, Yang Zhu, Wenfei Shao, Aiyu Chen, Wenjun Gao, Chao Liu, Siyu Liu, Yawen Cheng, Yi |
author_facet | Shi, Jikang Guo, Yanbo Li, Zhen Liang, Zhuoshuai Pan, Lingfeng Yu, Yang Zhu, Wenfei Shao, Aiyu Chen, Wenjun Gao, Chao Liu, Siyu Liu, Yawen Cheng, Yi |
author_sort | Shi, Jikang |
collection | PubMed |
description | BACKGROUND: Multimorbidity is defined as two or more chronic health conditions existing in an individual simultaneously. Multimorbidity has been associated with poor conditions, such as higher health care costs and the poor quality of life. Thus, identifying the risk factors of the multimorbidity is required for multimorbidity prevention. METHODS: This study was based on the Comprehensive Demonstration Research Project of Major Chronic Noncommunicable Disease Prevention and Control Technology in Northeast China initiated by China Medical University. The investigation was a cross-sectional study under a multistage stratified cluster random sampling design. Associations between multimorbidity and sociodemographic and behavioral factors in adult residents were investigated using univariate analysis and multivariate logistic regression analysis. RESULTS: A total of 6706 participants were enrolled in this investigation, and the prevalence of multimorbidity was 21.2% among the adult residents of northeastern China. There existed differences of association between age and multimorbidity risks (65–69 years old: OR = 3.53, 95%CI: 2.04–6.12; 70–74 years old: OR = 5.26, 95%CI: 3.02–9.17). Participants who are overweight had significantly high multimorbidity risk (OR = 2.76, 95%CI: 1.50–5.24). Family history of hypertension and family history of diabetes were significantly associated with high multimorbidity risk (family history of hypertension: OR = 2.34, 95%CI: 1.96–2.79; family history of diabetes: OR = 1.77, 95%CI: 1.38–2.26). Compared with the frequency of fatigue (< 1 time/week or 1–2 times/week), that (≥3 times/week) was associated with high multimorbidity risk (OR = 1.39, 95%CI: 1.07–1.81). For fresh fruit consumption, compared with eating fruits regularly, eating rarely had a higher risk of multimorbidity (OR = 2.33, 95%CI: 1.90–2.85). CONCLUSIONS: Sociodemographic indices (age, BMI, family history of hypertension, and family history of diabetes) and behavioral indices (fatigue status and fresh fruit consumption) increase the risks of multimorbidity. This study provides a necessary route to prevent and control multimorbidity in northeast China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12722-y. |
format | Online Article Text |
id | pubmed-8855562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88555622022-02-23 Sociodemographic and behavioral influences on multimorbidity among adult residents of northeastern China Shi, Jikang Guo, Yanbo Li, Zhen Liang, Zhuoshuai Pan, Lingfeng Yu, Yang Zhu, Wenfei Shao, Aiyu Chen, Wenjun Gao, Chao Liu, Siyu Liu, Yawen Cheng, Yi BMC Public Health Research BACKGROUND: Multimorbidity is defined as two or more chronic health conditions existing in an individual simultaneously. Multimorbidity has been associated with poor conditions, such as higher health care costs and the poor quality of life. Thus, identifying the risk factors of the multimorbidity is required for multimorbidity prevention. METHODS: This study was based on the Comprehensive Demonstration Research Project of Major Chronic Noncommunicable Disease Prevention and Control Technology in Northeast China initiated by China Medical University. The investigation was a cross-sectional study under a multistage stratified cluster random sampling design. Associations between multimorbidity and sociodemographic and behavioral factors in adult residents were investigated using univariate analysis and multivariate logistic regression analysis. RESULTS: A total of 6706 participants were enrolled in this investigation, and the prevalence of multimorbidity was 21.2% among the adult residents of northeastern China. There existed differences of association between age and multimorbidity risks (65–69 years old: OR = 3.53, 95%CI: 2.04–6.12; 70–74 years old: OR = 5.26, 95%CI: 3.02–9.17). Participants who are overweight had significantly high multimorbidity risk (OR = 2.76, 95%CI: 1.50–5.24). Family history of hypertension and family history of diabetes were significantly associated with high multimorbidity risk (family history of hypertension: OR = 2.34, 95%CI: 1.96–2.79; family history of diabetes: OR = 1.77, 95%CI: 1.38–2.26). Compared with the frequency of fatigue (< 1 time/week or 1–2 times/week), that (≥3 times/week) was associated with high multimorbidity risk (OR = 1.39, 95%CI: 1.07–1.81). For fresh fruit consumption, compared with eating fruits regularly, eating rarely had a higher risk of multimorbidity (OR = 2.33, 95%CI: 1.90–2.85). CONCLUSIONS: Sociodemographic indices (age, BMI, family history of hypertension, and family history of diabetes) and behavioral indices (fatigue status and fresh fruit consumption) increase the risks of multimorbidity. This study provides a necessary route to prevent and control multimorbidity in northeast China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12722-y. BioMed Central 2022-02-18 /pmc/articles/PMC8855562/ /pubmed/35177044 http://dx.doi.org/10.1186/s12889-022-12722-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Shi, Jikang Guo, Yanbo Li, Zhen Liang, Zhuoshuai Pan, Lingfeng Yu, Yang Zhu, Wenfei Shao, Aiyu Chen, Wenjun Gao, Chao Liu, Siyu Liu, Yawen Cheng, Yi Sociodemographic and behavioral influences on multimorbidity among adult residents of northeastern China |
title | Sociodemographic and behavioral influences on multimorbidity among adult residents of northeastern China |
title_full | Sociodemographic and behavioral influences on multimorbidity among adult residents of northeastern China |
title_fullStr | Sociodemographic and behavioral influences on multimorbidity among adult residents of northeastern China |
title_full_unstemmed | Sociodemographic and behavioral influences on multimorbidity among adult residents of northeastern China |
title_short | Sociodemographic and behavioral influences on multimorbidity among adult residents of northeastern China |
title_sort | sociodemographic and behavioral influences on multimorbidity among adult residents of northeastern china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855562/ https://www.ncbi.nlm.nih.gov/pubmed/35177044 http://dx.doi.org/10.1186/s12889-022-12722-y |
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