| 000 | 02162nam a22001817a 4500 | ||
|---|---|---|---|
| 005 | 20250212094825.0 | ||
| 008 | 250212b ph ||||| |||| 00| 0 eng d | ||
| 022 | _a0279-3695 | ||
| 040 | _cOCT | ||
| 100 | _aZhang, Chenchen | ||
| 240 |
_aJournal of psychosocial nursing and mental health services _hJuly 2024 |
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| 245 |
_aRelationships among demographic factors, stigma, social support, and self-management in individuals with bipolar disorder in remission / _cChenchen Zhang, Meiying Xu, Hongwei Yu, Yuting Hua, Xiaoyan Wang, Xianan Nan, Jing Zhang |
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| 300 |
_aVol.62 (7) pages 26-35 _bIllustrations: _c27 cm |
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| 500 | _aThe 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 Disor-der. 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-manage-ment 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 (B = -3.818), social support (B = 0.436), literacy (B = 2.132), and stigma (B = -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. | ||
| 653 | _aBipolar disorder | ||
| 700 | _aXu Meiying, Yu Hongwei, Hua Yuting, Wang Xiaoyan, Nan Xianan, Zhang Jing | ||
| 942 |
_2ddc _cCR _n0 |
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| 999 |
_c10196 _d10196 |
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