Title | Analysis of risk factors of metabolic syndrome using a structural equation model: a cohort study |
Authors | Ma, Zhimin Li, Ditian Zhan, Siyan Sun, Feng Xu, Chaonan Wang, Yunfeng Yang, Xinghua |
Affiliation | Capital Med Univ, Sch Publ Hlth, Beijing, Peoples R China Beijing Municipal Key Lab Clin Epidemiol, Beijing, Peoples R China Columbia Univ, Mailman Sch Publ Hlth, New York, NY USA Peking Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Beijing, Peoples R China |
Keywords | Metabolic syndrome Risk factors Structural equation model Socioeconomic status |
Issue Date | 2019 |
Publisher | ENDOCRINE |
Abstract | PurposeWe aimed to use a structural equation model (SEM) to determine the interrelations between various risk factors, including latent variables, involved in the development of metabolic syndrome(MetS).MethodsThis study used data derived from the MJ Longitudinal Health Check-up Population Database for participants aged 20 to 70 years, who were asymptomatic for MetS at enrollment and were followed up for 5 years. A SEM was applied to investigate the attributions of MetS and the interrelations between different risk factors.ResultsSocioeconomic status (SES), living habits, components of metabolic syndrome (COMetS), and blood pressure had a diverse impact on the onset of MetS, directly and (or) indirectly. When investigating the latent risk factors and the interrelations between different risk factors. The standardized total effect (the sum of the direct and indirect effects, (t)) of SES, living habits, blood pressure and COMetS on the onset of MetS was 0.084, -0.179, 0.154, and 0.353, respectively. SES, as a distal risk factor, directly influenced living habits, blood pressure, and COMetS with standardized regression coefficients ((r)) of -0.079 (P<0.001), 0.200 (P<0.001), and -0.163 (P<0.001) respectively. Unfavorable living habits exerted an inverse effect on blood pressure and COMetS ((r)=-0.101, P<0.001; (r)=-0.463, P<0.001), which was an important path way for developing MetS.ConclusionsThese results demonstrate that individuals with a higher level of SES are susceptible to high blood pressure and are at increased risk for MetS. Additionally, there is a decrease in exercise and an increase in smoking and consumption of alcohol corresponded to an increase in metabolic risk factors. |
URI | http://hdl.handle.net/20.500.11897/552249 |
ISSN | 1355-008X |
DOI | 10.1007/s12020-018-1718-x |
Indexed | SCI(E) SSCI(E) EI |
Appears in Collections: | 公共卫生学院 |