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Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults

BACKGROUND: Neighborhood factors have gained increasing attention, while the association between the neighborhood’s characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban v...

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Autores principales: Yu, Xuexin, Zhang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670703/
https://www.ncbi.nlm.nih.gov/pubmed/33198728
http://dx.doi.org/10.1186/s12889-020-09876-y
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author Yu, Xuexin
Zhang, Wei
author_facet Yu, Xuexin
Zhang, Wei
author_sort Yu, Xuexin
collection PubMed
description BACKGROUND: Neighborhood factors have gained increasing attention, while the association between the neighborhood’s characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types. METHODS: The present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Logistic regression models were employed to investigate the association between neighborhood-level characteristics and each NCD, respectively. RESULTS: First, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95–1.10). Living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78–0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63–0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55–0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51–0.89), digestive disease (OR = 0.82, 95% CI, 0.69–0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55–0.87), and asthma (OR = 0.67, 95% CI, 0.51–0.88). CONCLUSIONS: Urban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road pavement, holds promise to alleviate the increasing disease burden of chronic diseases.
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spelling pubmed-76707032020-11-18 Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults Yu, Xuexin Zhang, Wei BMC Public Health Research Article BACKGROUND: Neighborhood factors have gained increasing attention, while the association between the neighborhood’s characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types. METHODS: The present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Logistic regression models were employed to investigate the association between neighborhood-level characteristics and each NCD, respectively. RESULTS: First, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95–1.10). Living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78–0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63–0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55–0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51–0.89), digestive disease (OR = 0.82, 95% CI, 0.69–0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55–0.87), and asthma (OR = 0.67, 95% CI, 0.51–0.88). CONCLUSIONS: Urban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road pavement, holds promise to alleviate the increasing disease burden of chronic diseases. BioMed Central 2020-11-16 /pmc/articles/PMC7670703/ /pubmed/33198728 http://dx.doi.org/10.1186/s12889-020-09876-y Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
Yu, Xuexin
Zhang, Wei
Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults
title Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults
title_full Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults
title_fullStr Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults
title_full_unstemmed Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults
title_short Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults
title_sort neighborhood’s locality, road types, and residents’ multimorbidity: evidence from china’s middle-aged and older adults
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670703/
https://www.ncbi.nlm.nih.gov/pubmed/33198728
http://dx.doi.org/10.1186/s12889-020-09876-y
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