Self-Management and Its Influential Factors Among Individuals With Anxiety Disorders: A Cross-Sectional Study

Ge, Ruyu; Feng, chi; Cao, Xinyu; Li, Xin

doi:10.3928/02793695-20220929-01

J Psychosoc Nurs Ment Health Serv

2023

DOI: 10.3928/02793695-20220929-01

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Self-Management and Its Influential Factors Among Individuals With Anxiety Disorders: A Cross-Sectional Study

Ruyu Ge¹,

chi Feng²,

Xinyu Cao³

et al.

Abstract: Self-management has been proposed as a crucial pathway to recovery from mental disorders. The aim of the current study was to explore self-management and its influential factors among individuals with anxiety disorders. Data were from a cross-sectional survey of 180 individuals diagnosed with anxiety disorders. Sociodemographic characteristics, anxiety, self-management, and social support were investigated and analyzed. Participants' mean self-management score was 79.04, with a score rate of 63%. Economic burd… Show more

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2024

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Cited by 2 publications

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Effect of Self-efficacy, Disease Perception, Social Support, Anxiety, and Depression on Self-management in Young Patients With Stroke

Zhang,

Li,

Luo

et al. 2024

Journal of Neuroscience Nursing

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BACKGROUND: Better self-management of chronic diseases may benefit patient functional status, medication effectiveness, lifestyle, and psychosocial health. Self-efficacy, disease perception, social support, anxiety, and depression are determinants of self-management behaviors in individuals with chronic illnesses. There remains a gap in the empirical exploration of the influence of these factors on self-management behaviors in young Chinese stroke survivors. This study examined how these factors affect specific self-management behaviors. METHODS: Validated instruments were used to evaluate patient self-efficacy, disease perception, social support, anxiety, and depression in a cross-sectional study. Structural equation modeling was used to examine the hypothesis. RESULTS: Self-efficacy and social support showed a positive correlation with self-management (0.421 and 0.446, respectively; P < .001). Disease perception, anxiety, and depression were negatively correlated with self-management (−0.158 and −0.336, respectively; P < .05). The structural equation model fit the data very well; social support had a direct positive effect on self-management (t = 3.002, P < .05) and self-efficacy (t = 5.773, P < .001). However, the presence of social support had a positive impact on reducing anxiety and depression (t = −5.046, P < .001). Furthermore, self-efficacy positively affected self-management (t = 1.226, P < .05), whereas anxiety and depression (t = −1.190, P < .05) and disease perception (t = −1.068, P < .05) had adverse effects on self-management. CONCLUSION: Medical staff and caregivers can improve patient self-management by helping them recognize the disease, reducing negative perceptions, communicating more for better understanding and care, intervening in anxiety and depression, and promoting mental health. This is especially important for young stroke patients.

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Effect of Self-efficacy, Disease Perception, Social Support, Anxiety, and Depression on Self-management in Young Patients With Stroke

Zhang,

Li,

Luo

et al. 2024

Journal of Neuroscience Nursing

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Relationships Among Demographic Factors, Stigma, Social Support, and Self-Management in Individuals With Bipolar Disorder in Remission

Zhang,

Xu,

et al. 2024

J Psychosoc Nurs Ment Health Serv

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The current cross-sectional study aimed to investigate the extent to which demographic characteristics, stigma, and social support impact the self-management abilities of individuals with bipolar disorder in remission. Participants ( N = 114) completed a demographic questionnaire, Self-Stigma Scale–Short Form, Social Support Rating Scale, and Self-Management Scale for Patients With Bipolar Disorder. Mean scores were 60.65 ( SD = 10.42) for self-management, 35.76 ( SD = 7.14) for social support, and 21.38 ( SD = 5.06) for stigma. In the univariate analysis, age, educational level, method of payment for care, illness duration, and number of hospitalizations demonstrated significant associations with self-management ( p < 0.05). Correlation analysis revealed a positive correlation between self-management and social support ( r = 0.574, p < 0.01) and negative correlations between self-management and stigma ( r = −0.489, p < 0.01) and stigma and social support ( r = −0.476, p < 0.01). Multiple linear regression analysis included number of hospitalizations (β = −3.818), social support (β = 0.436), literacy (β = 2.132), and stigma (β = −0.397). Individuals in remission from bipolar disorder exhibit moderate levels of self-management. Follow-up interventions should prioritize enhancing social support and addressing stigma to promote improved self-management and overall well-being. [ Journal of Psychosocial Nursing and Mental Health Services, xx (xx), xx–xx.]

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Self-Management and Its Influential Factors Among Individuals With Anxiety Disorders: A Cross-Sectional Study

Cited by 2 publications

References 42 publications

Effect of Self-efficacy, Disease Perception, Social Support, Anxiety, and Depression on Self-management in Young Patients With Stroke

Effect of Self-efficacy, Disease Perception, Social Support, Anxiety, and Depression on Self-management in Young Patients With Stroke

Relationships Among Demographic Factors, Stigma, Social Support, and Self-Management in Individuals With Bipolar Disorder in Remission

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