Aims Adherence to diet and exercise recommendations is crucial among metabolic syndrome (MetS) individuals. However, no studies have focused on comprehensive behavioural changes of diet and exercise among individuals with MetS. The present study aimed to explore determinants of adherence to diet and exercise behaviours among people with MetS based on the Capability, Opportunity, Motivation, and Behaviour (COM-B) model. Methods and results A cross-sectional study was conducted in a health promotion centre of a large and general university hospital in Zhejiang Province, China, in 2021. A total of 241 individuals with MetS completed all scales. The mediation model was tested using structural equation modelling with bootstrapped samples. In the regression-based path analysis, MetS knowledge (β = 0.140), socioeconomic status (β = 0.162), and social support (β = 0.143) directly positively influenced diet behaviour. In addition, social support indirectly positively influenced exercise behaviour through coping and adaptation (β = 0.090). The final theoretical model showed a good fit (root mean square error of approximation = 0.057, comparative fit index = 0.946). Conclusion Factors associated with diet behaviour were knowledge of MetS, socioeconomic status, and social support. Adaptation may be a mediator between social support and exercise behaviour. Intervention programmes targeting increased adherence to diet and exercise could include these factors for individuals with MetS.
Background Little is known about the potential mechanisms of healthy eating and exercise change, and design interventions which aim to promote healthy eating and exercise change among individuals at risk of metabolic syndrome. This study aimed to identify key determinants of healthy eating, exercise behaviors, and health among individuals at risk of metabolic syndrome using the integrated common-sense model of illness self-regulation. Method A cross-sectional study with a multi-wave data collection strategy. A total of 275 participants at risk of metabolic syndrome based on the clinical prediction model were included in the final analysis. Path analysis was employed to explore the pattern of relationships between key variables using AMOS. Results The mediation analysis suggested that personal and treatment control, and coherence can positively affect self-reported health via intentions and health behaviors (exercise and healthy eating). Additionally, relationships between self-efficacy (exercise and healthy eating) and health outcomes can be mediated by health behaviors, and both intentions and health behaviors. Conclusions This current research used the integrated common-sense model of illness self-regulation to predict healthy eating, exercise behaviors, and self-reported health among individuals at risk of metabolic syndrome. The results suggested that self-efficacy, intention, consequences, personal control, treatment control, and coherence were the key determinants of behavior and health, which can help design interventions to encourage healthy eating and exercise changes among individuals with a high risk of MetS.
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