Purpose Body size phenotypes can be regarded as an indicator of cardiovascular incidence risk factors. The aim of this study was to investigate the incidence of metabolic syndrome among metabolically healthy adults according to body size phenotype using Korean Genome & Epidemiology Study [KoGES]-community based cohort from 2001-2002 to 2014.
Methods A prospective population-based cohort including 5,068 adults aged 40-69 years free from metabolic syndrome was included and divided into three phenotypes: metabolically healthy normal weight (MHNW), metabolically healthy overweight (MHOW), and metabolically healthy obesity (MHO). The time dependent Cox’s proportional hazards regression model was used to estimate the incidence of the metabolic syndrome after a follow-up 14 years.
Results In the demographic, health related variables-adjusted model (Model 3), the hazard ratio of the metabolic syndrome was 1.92 (CI 1.54-2.40) for MHOW, 2.88 (CI 2.32-3.58) for MHO among males, 1.89 (CI 1.51-2.37) for MHOW, 2.34 (CI 1.88-2.90) for MHO for females compared to MHNW, respectively.
Conclusion In conclusion, MHOW and MHO in both males and females increased the risk of metabolic syndrome compared to MHNW. Obesity management should be considered even in the absence of metabolic syndrome. Programs and resources should be provided for prevention of cardiovascular diseases and better quality of life.
Purpose Health behaviors for metabolic syndrome (MetS) prevention should be emphasized from early adulthood. There is little information on psychosocial factors associated with health behaviors for MetS prevention. The aim of this study was to determine whether there would be a mediating effect of perceived stress on the association between social support and health behaviors for MetS prevention among university students. Methods This cross-sectional and correlation study was conducted with 502 university students in South Korea. Social support, perceived stress, and lifestyle evaluation for metabolic syndrome scales were used. Online questionnaire survey was conducted between November and December 2019. The mediating effect of social support on health behaviors for MetS prevention was analyzed using PROCESS macro program with bootstrapping method to test our hypotheses. Results Social support directly influenced perceived stress (β=-.35, p<.001) and health behaviors for MetS prevention (β=.14, p=.002). Health behaviors for MetS prevention was indirectly influenced by perceived stress (β=-.25, p<.001). The size of indirect effect of social support on health behaviors for MetS prevention was 0.06. Conclusions The association of social support and health behaviors for MetS prevention was partially mediated by perceived stress among university students. Therefore, a university-based nursing intervention should comprise social support strategies with stress management to promote health behaviors for MetS prevention.
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