C-Y Huang1, W-K Chen2, C-Y Lu1, C-C Tsai3, H-L Lai4, H-Y Lin5, S-E Guo6, L-M Wu7, C-I Chen2. 1. Department of Nursing, I-Shou University, Kaohsiung, Taiwan. 2. I-Shou University, Kaohsiung, Taiwan. 3. Department of Nursing, MeiHo University, Pingtung, Taiwan. 4. Department of Nursing, Buddhist Tzu Chi General Hospital, Hualien, Taiwan. 5. 1] I-Shou University, Kaohsiung, Taiwan [2] Department of Surgery, E-Da Hospital, Kaohsiung, Taiwan. 6. Department of Nursing, Chang Gung University of Science & Technology, Pu-tz, Chiayi, Taiwan. 7. Kaohsiung Medical University, Kaohsiung, Taiwan.
Abstract
STUDY DESIGN: Cross-sectional, correlational design. OBJECTIVES: To examine the effects of individual demographics, activities of daily living, social support, and self-concept on depressive symptoms in people with spinal cord injury (SCI). SETTING: A convenience sample of 135 adults with SCI was recruited from medical and rehabilitation centres in Taiwan. METHODS: Face-to-face, structured interviews were employed to collect information. Study questionnaires included a demographic sheet, the Barthel scale, the modified Social Support Inventory, the Huang self-concept scale and the Beck Depression Inventory. Data were analysed by structural equation modelling (SEM). RESULTS: The average age of the participants was 43.3 years (±11.98), the mean duration of injury was 114 months (±93.78), and most were males. Emotional support (r=-0.173, P<0.05) and appraisal support (r=-0.261, P<0.01) were negatively correlated with depressive symptoms. The best fitted SEM model included individual demographics and physical function, social support and self-concept as significant predictors of depressive symptoms, with self-concept acting as a mediator in this relationship. Participants' characteristics and social support both contributed substantial indirect effects on depressive symptoms via self-concept. Self-concept also mediated the relationship between education, income, physical functioning and participants' depressive symptoms. CONCLUSION: For this sample, the more negative that individuals perceived themselves, the more likely they were to report worsening depressive symptoms. The more social support that individuals have, the more likely they were to report less depressive symptoms. Further longitudinal research will help clarify the direction of these relationships.
STUDY DESIGN: Cross-sectional, correlational design. OBJECTIVES: To examine the effects of individual demographics, activities of daily living, social support, and self-concept on depressive symptoms in people with spinal cord injury (SCI). SETTING: A convenience sample of 135 adults with SCI was recruited from medical and rehabilitation centres in Taiwan. METHODS: Face-to-face, structured interviews were employed to collect information. Study questionnaires included a demographic sheet, the Barthel scale, the modified Social Support Inventory, the Huang self-concept scale and the Beck Depression Inventory. Data were analysed by structural equation modelling (SEM). RESULTS: The average age of the participants was 43.3 years (±11.98), the mean duration of injury was 114 months (±93.78), and most were males. Emotional support (r=-0.173, P<0.05) and appraisal support (r=-0.261, P<0.01) were negatively correlated with depressive symptoms. The best fitted SEM model included individual demographics and physical function, social support and self-concept as significant predictors of depressive symptoms, with self-concept acting as a mediator in this relationship. Participants' characteristics and social support both contributed substantial indirect effects on depressive symptoms via self-concept. Self-concept also mediated the relationship between education, income, physical functioning and participants' depressive symptoms. CONCLUSION: For this sample, the more negative that individuals perceived themselves, the more likely they were to report worsening depressive symptoms. The more social support that individuals have, the more likely they were to report less depressive symptoms. Further longitudinal research will help clarify the direction of these relationships.
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