ArticlePloS one2022
Predictors of health self-management behaviour in Kazakh patients with metabolic syndrome: A cross-sectional study in China.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 3 citations in OpenAlex.
- Health behavior risk prediction in metabolic syndrome patients: development and validation of an interpretable machine learning model via multisource heterogeneous data integration.BMC medical informatics and decision making · 2026Article
- The Patient Reported Inventory of Self-Management of Chronic Conditions (PRISM-CC): testing for bias across patient characteristics and languages.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Effects of an Individualized mHealth-Based Intervention on Health Behavior Change and Cardiovascular Risk Among People With Metabolic Syndrome Based on the Behavior Change Wheel: Quasi-Experimental Study.Journal of medical Internet research · 2023Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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Abstract
backgroundMetabolic syndrome (MS) is common among Muslim patients living in China, most of whom are Kazakh adults. Continuous and effective health self-management plays a critical role in preventing negative health outcomes for individuals with MS. However, Muslim minority patients with MS face many difficulties in actively participating in health self-management, and the factors supporting their successful self-management of MS remain unclear.
objectiveThis study aimed to identify the factors predicting health self-management behaviour among Kazakh MS patients and provide empirical evidence for establishing recommendation guidelines or intervention programmes for health self-management among Muslim minorities.
methodsA cross-sectional study was conducted in Xinjiang Province, China, with the use of convenience sampling to explore the current health self-management behaviour of 454 Kazakh MS patients and its influencing factors. Univariate analysis and logistic regression were used to analyse the data.
resultsThe total health self-management behaviour score of Kazakh MS patients was 85.84±11.75, and the weaknesses in self-management behaviour were mainly reflected in three dimensions: disease self-monitoring, emotion management and communication with physicians. The significant positive predictors of health self-management behaviour were sex, education, family monthly income per capita, weight, knowledge of MS, and self-efficacy, while the significant negative predictors were blood pressure, the number of MS components, chronic disease comorbidities, and social support (objective support and utilization of support).
conclusionThe health self-management behaviour of Kazakh MS patients is poor. Health care providers should aim to develop culturally specific and feasible health management intervention programmes based on the weaknesses and major modifiable influencing factors in Muslim minority MS patient health self-management, thus improving the health outcomes and quality of life of patients.
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