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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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | International Journal of Hypertension |
| Online Access: | http://dx.doi.org/10.1155/2021/4514871 |
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| 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 |
| collection | DOAJ |
| 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 |
| id | doaj-art-ce59fd60fd1f4a7cbd806e058bef35f1 |
| institution | OA Journals |
| issn | 2090-0384 2090-0392 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Hypertension |
| spelling | doaj-art-ce59fd60fd1f4a7cbd806e058bef35f12025-08-20T02:19:27ZengWileyInternational Journal of Hypertension2090-03842090-03922021-01-01202110.1155/2021/45148714514871Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese AdultsWenwen Wu0Jie Diao1Jinru Yang2Donghan Sun3Ying Wang4Ziling Ni5Fen Yang6Xiaodong Tan7Ling Li8Li Li9Institute for Evidence-Based Nursing, Renmin Hospital, Hubei University of Medicine, Shiyan 442000, ChinaSchool of Engineering, University of Glasgow, Glasgow G12 8QQ, UKTongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaInstitute for Evidence-Based Nursing, Renmin Hospital, Hubei University of Medicine, Shiyan 442000, ChinaDepartment of Nosocomial Infection Management, Wuhan University Zhongnan Hospital, Wuhan 430071, Hubei, ChinaSchool of Medicine, Hangzhou Normal University, Hangzhou 311121, ChinaCollege of Nursing, Hubei University of Chinese Medicine, Wuhan 430065, ChinaSchool of Health Sciences, Wuhan University, Wuhan 430071, ChinaNursing Department, Dongfeng Hospital, Hubei University of Medicine, Shiyan 442000, ChinaInstitute for Evidence-Based Nursing, Renmin Hospital, Hubei University of Medicine, Shiyan 442000, ChinaBackground. 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.http://dx.doi.org/10.1155/2021/4514871 |
| spellingShingle | 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 International Journal of Hypertension |
| title | 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_short | 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 |
| url | http://dx.doi.org/10.1155/2021/4514871 |
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