Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults

Background. In general, given the insufficient sample size, considerable literature has been found on single studies of diabetes and hypertension and few studies have been found on the coexistence of diabetes and hypertension (CDH) and its influencing factors with a large range of samples. This stud...

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Autores principales:	Wenwen Wu, Jie Diao, Jinru Yang, Donghan Sun, Ying Wang, Ziling Ni, Fen Yang, Xiaodong Tan, Ling Li, Li Li
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Diseases of the circulatory (Cardiovascular) system RC666-701
Acceso en línea:	https://doaj.org/article/ce59fd60fd1f4a7cbd806e058bef35f1
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spelling	oai:doaj.org-article:ce59fd60fd1f4a7cbd806e058bef35f12021-11-08T02:36:06ZImpact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults2090-039210.1155/2021/4514871https://doaj.org/article/ce59fd60fd1f4a7cbd806e058bef35f12021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4514871https://doaj.org/toc/2090-0392Background. In general, given the insufficient sample size, considerable literature has been found on single studies of diabetes and hypertension and few studies have been found on the coexistence of diabetes and hypertension (CDH) and its influencing factors with a large range of samples. This study aimed to establish a structural equation model for exploring the direct and indirect relationships amongst sociodemographic characteristics, lifestyle, obesity, and CDH amongst Chinese adults. Methods. A cross-sectional study was conducted in a representative sample of 25356 adults between June 1, 2015, and September 30, 2018, in Hubei province, China. Confirmatory factor analysis was initially conducted to test the latent variables. A structural equation model was then performed to analyse the association between latent variables and CDH. Results. The total prevalence of CDH was 2.8%. The model paths indicated that sociodemographic characteristics, lifestyle, and obesity were directly associated with CDH, and the effects were 0.187, 0.739, and 0.353, respectively. Sociodemographic characteristics and lifestyle were also indirectly associated with CDH, and the effects were 0.128 and 0.045, respectively. Lifestyle had the strongest effect on CDH (β = 0.784, P<0.001), followed by obesity (β = 0.353, P<0.001) and sociodemographic characteristics (β = 0.315, P<0.001). All paths of the model were significant (P<0.001). Conclusion. CDH was significantly associated with sociodemographic characteristics, lifestyle, and obesity amongst Chinese adults. The dominant predictor of CDH was lifestyle. Targeting these results might develop lifestyle and weight loss intervention to prevent CDH according to the characteristics of the population.Wenwen WuJie DiaoJinru YangDonghan SunYing WangZiling NiFen YangXiaodong TanLing LiLi LiHindawi LimitedarticleDiseases of the circulatory (Cardiovascular) systemRC666-701ENInternational Journal of Hypertension, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Diseases of the circulatory (Cardiovascular) system RC666-701
spellingShingle	Diseases of the circulatory (Cardiovascular) system RC666-701 Wenwen Wu Jie Diao Jinru Yang Donghan Sun Ying Wang Ziling Ni Fen Yang Xiaodong Tan Ling Li Li Li Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults
description	Background. In general, given the insufficient sample size, considerable literature has been found on single studies of diabetes and hypertension and few studies have been found on the coexistence of diabetes and hypertension (CDH) and its influencing factors with a large range of samples. This study aimed to establish a structural equation model for exploring the direct and indirect relationships amongst sociodemographic characteristics, lifestyle, obesity, and CDH amongst Chinese adults. Methods. A cross-sectional study was conducted in a representative sample of 25356 adults between June 1, 2015, and September 30, 2018, in Hubei province, China. Confirmatory factor analysis was initially conducted to test the latent variables. A structural equation model was then performed to analyse the association between latent variables and CDH. Results. The total prevalence of CDH was 2.8%. The model paths indicated that sociodemographic characteristics, lifestyle, and obesity were directly associated with CDH, and the effects were 0.187, 0.739, and 0.353, respectively. Sociodemographic characteristics and lifestyle were also indirectly associated with CDH, and the effects were 0.128 and 0.045, respectively. Lifestyle had the strongest effect on CDH (β = 0.784, P<0.001), followed by obesity (β = 0.353, P<0.001) and sociodemographic characteristics (β = 0.315, P<0.001). All paths of the model were significant (P<0.001). Conclusion. CDH was significantly associated with sociodemographic characteristics, lifestyle, and obesity amongst Chinese adults. The dominant predictor of CDH was lifestyle. Targeting these results might develop lifestyle and weight loss intervention to prevent CDH according to the characteristics of the population.
format	article
author	Wenwen Wu Jie Diao Jinru Yang Donghan Sun Ying Wang Ziling Ni Fen Yang Xiaodong Tan Ling Li Li Li
author_facet	Wenwen Wu Jie Diao Jinru Yang Donghan Sun Ying Wang Ziling Ni Fen Yang Xiaodong Tan Ling Li Li Li
author_sort	Wenwen Wu
title	Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults
title_short	Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults
title_full	Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults
title_fullStr	Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults
title_full_unstemmed	Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults
title_sort	impact of sociodemographic characteristics, lifestyle, and obesity on coexistence of diabetes and hypertension: a structural equation model analysis amongst chinese adults
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/ce59fd60fd1f4a7cbd806e058bef35f1
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Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults

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