BACKGROUND: There is little in the literature exploring the inter-relationship of social support, prevalent symptoms and health-related quality of life (HRQoL) among breast cancer patients. This study examines the inter-relationships among the three variables using the 'Theory of Unpleasant Symptoms' as a framework. METHODS: 279 Chinese breast cancer patients undergoing treatment were recruited for face-to-face interviews. The instruments used were Chinese versions of the Brief Fatigue Inventory, Brief Pain Inventory, Hospital Anxiety and Depression Scales, Medical Outcomes Study Social Support Survey and Functional Assessment of Cancer Therapy for Breast Cancer. RESULTS: Goodness-of-fit and misfit indices were obtained for the final model (SRMR = 0.034, robust RMSEA = 0.051 and robust CFI = 0.981), and the results showed that social support had large total effects on social/family (total effect = 0.704, P < 0.05) and functional well-being (total effect = 0.450, P < 0.05), but a minimal effect on the breast cancer scale (total effect = 0.036, P > 0.05). CONCLUSIONS: The inter-relationships among the three variables give us a better understanding of breast cancer patients' experience and provide guidance for developing effective strategies to improve their HRQoL and relieving unpleasant symptoms.
BACKGROUND: There is little in the literature exploring the inter-relationship of social support, prevalent symptoms and health-related quality of life (HRQoL) among breast cancerpatients. This study examines the inter-relationships among the three variables using the 'Theory of Unpleasant Symptoms' as a framework. METHODS: 279 Chinese breast cancerpatients undergoing treatment were recruited for face-to-face interviews. The instruments used were Chinese versions of the Brief Fatigue Inventory, Brief Pain Inventory, Hospital Anxiety and Depression Scales, Medical Outcomes Study Social Support Survey and Functional Assessment of Cancer Therapy for Breast Cancer. RESULTS: Goodness-of-fit and misfit indices were obtained for the final model (SRMR = 0.034, robust RMSEA = 0.051 and robust CFI = 0.981), and the results showed that social support had large total effects on social/family (total effect = 0.704, P < 0.05) and functional well-being (total effect = 0.450, P < 0.05), but a minimal effect on the breast cancer scale (total effect = 0.036, P > 0.05). CONCLUSIONS: The inter-relationships among the three variables give us a better understanding of breast cancerpatients' experience and provide guidance for developing effective strategies to improve their HRQoL and relieving unpleasant symptoms.
Authors: Candyce H Kroenke; Marilyn L Kwan; Alfred I Neugut; Isaac J Ergas; Jaime D Wright; Bette J Caan; Dawn Hershman; Lawrence H Kushi Journal: Breast Cancer Res Treat Date: 2013-05-09 Impact factor: 4.872
Authors: Menglian Wu; Yang Yang; Dan Zhang; Xia Zhao; Yaoyao Sun; Hui Xie; Jihui Jia; Yonggang Su; Yuqin Li Journal: Qual Life Res Date: 2017-11-09 Impact factor: 4.147
Authors: Velda J Gonzalez; Susan McMillan; Elsa Pedro; Maribel Tirado-Gomez; Leorey N Saligan Journal: P R Health Sci J Date: 2018-03 Impact factor: 0.705
Authors: Qian Lu; Jin You; April Kavanagh; Krystal Warmoth; Zhiqiang Meng; Zhen Chen; Kavita D Chandwani; George H Perkins; Jennifer Leigh McQuade; Nelamangala V Raghuram; Raghuram Nagarathna; Zhongxing Liao; Hongasandra Ramarao Nagendra; Jiayi Chen; Xiaoma Guo; Luming Liu; Banu Arun; Lorenzo Cohen Journal: Support Care Cancer Date: 2016-04-06 Impact factor: 3.603