Wenwen Wu, Jie Diao, Jinru Yang, Donghan Sun, Ying Wang, Ziling Ni, Fen Yang, Xiaodong Tan, Ling Li, Li Li
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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.</p><p><strong>Results: </strong>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 (<i>β</i> = 0.784, <i>P</i> < 0.001), followed by obesity (<i>β</i> = 0.353, <i>P</i> < 0.001) and sociodemographic characteristics (<i>β</i> = 0.315, <i>P</i> < 0.001). All paths of the model were significant (<i>P</i> < 0.001).</p><p><strong>Conclusion: </strong>CDH was significantly associated with sociodemographic characteristics, lifestyle, and obesity amongst Chinese adults. The dominant predictor of CDH was lifestyle. 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引用次数: 2
摘要
背景:总体而言，由于样本量不足，关于糖尿病和高血压的单项研究文献较多，而关于糖尿病和高血压共存(CDH)及其影响因素的大样本研究文献较少。本研究旨在建立结构方程模型，探讨中国成年人社会人口学特征、生活方式、肥胖与CDH之间的直接和间接关系。方法:在2015年6月1日至2018年9月30日期间，对中国湖北省25356名成年人的代表性样本进行了横断面研究。初步进行验证性因子分析以检验潜在变量。然后进行结构方程模型来分析潜在变量与CDH之间的关系。结果:CDH总患病率为2.8%。模型路径显示，社会人口特征、生活方式和肥胖与CDH直接相关，效应值分别为0.187、0.739和0.353。社会人口学特征和生活方式也与CDH有间接关系，影响值分别为0.128和0.045。生活方式对CDH的影响最大(β = 0.784, P < 0.001)，其次是肥胖(β = 0.353, P < 0.001)和社会人口统计学特征(β = 0.315, P < 0.001)。模型各路径均显著(P < 0.001)。结论:CDH与中国成年人的社会人口学特征、生活方式和肥胖显著相关。CDH的主要预测因子是生活方式。针对这些结果，可以根据人群的特点制定生活方式和减肥干预措施来预防CDH。
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 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.
期刊介绍：
International Journal of Hypertension is a peer-reviewed, Open Access journal that provides a forum for clinicians and basic scientists interested in blood pressure regulation and pathophysiology, as well as treatment and prevention of hypertension. The journal publishes original research articles, review articles, and clinical studies on the etiology and risk factors of hypertension, with a special focus on vascular biology, epidemiology, pediatric hypertension, and hypertensive nephropathy.
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