ArticleFrontiers in psychiatry2025
Factors associated with kinesiophobia among myocardial infarction survivors: a biopsychosocial perspective.
Article in Frontiers in psychiatry, 2025. 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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Who cites it
3 citing papers in PubMed.
- Determinants of kinesiophobia in patients with hidradenitis suppurativa: the role of pain, fatigue, physical activity and depression.BMC psychology · 2026Article
- Distinct kinesiophobia profiles and associated factors in patients undergoing coronary artery bypass grafting.Frontiers in psychology · 2026Article
- Self-perceived burden in elderly patients with chronic co-morbidities: a latent profile analysis.Frontiers in psychology · 2025Article
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7 authors.
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Abstract
Objectives: This study aimed to examine the factors associated with kinesiophobia among myocardial infarction (MI) survivors. Methods: This study was based on the Biopsychosocial (BPS) model. A multicenter, descriptive, cross-sectional study was conducted at three tertiary hospitals in Changsha, Hunan Province, China, with MI survivors as participants. The Tampa Scale for Kinesiophobia Heart (TSK-SV Heart), Exercise Self-Efficacy Scale (ESES), Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), Self-Perceived Burden Scale (SPBS), the 10-Item Connor-Davidson Resilience Scale (CD-RISC-10), Family Resilience Assessment Scale (FRAS), Multidimensional Scale of Perceived Social Support (MSPSS) and Social Support Rating Scale (SSRS) were used to collect data. Hierarchical regression analysis was employed to identify significant predictors of kinesiophobia. Results: A total of 414 MI survivors participated. Hierarchical regression analysis showed that the total explanatory power of the model was 56.9%, with sociodemographic factors accounting for 17.0% and cognitive, behavioral, psychological and social support factors accounting for 39.9%. Kinesiophobia was significantly associated with age, gender, education level, disease duration, number of complications, exercise intensity, exercise duration, exercise frequency, exercise self-efficacy (ESE), depression, self-perceived burden (SPB), mental resilience, family resilience, perceived social support (PSS), and actual social support (ASS). Conclusions: This study identified several sociodemographic, psychosocial, and behavioral factors associated with kinesiophobia in MI survivors. Based on these findings, integrating psychological support, behavior-focused interventions, and strengthened social support systems may help reduce kinesiophobia in this population.
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