DEPRESSION AND SLEEP QUALITY IN PREDICTING THE SUBJECTIVE QUALITY OF LIFE OF WOMEN WITH BREAST CANCER IN TAIWAN

Author:

HSIUNG PING-CHUAN1,PAN AY-WOAN2,CHUNG LYINN3,LAI NIEN-HWA4,WU YUH-YIN4

Affiliation:

1. Department of Social Work, National Taiwan University, Taiwan

2. School of Occupational Therapy, National Taiwan University, Taiwan

3. Department of Statistics, National Taipei University, Taiwan

4. Department of Psychology and Counseling, National Taipei University of Education, Taiwan

Abstract

The purpose of this study was to examine the predictors of quality of life (QOL) of women with breast cancer in Taiwan. A cross-sectional study assessed the quality of life of 394 women with breast cancer. Path models were used to test the direct and indirect effects of depression, anxiety, sleep quality and demographic factors on the four QOL domains. Mean age of the participants was 53.53 ± 7.82 years. The results of the path analysis showed that depression was the key predictor with direct effects on all four QOL domains from -0.248 to -0.580. Sleep quality was found to have direct effects from -0.171 to -0.278 on three QOL domains. Anxiety predicted the physical QOL directly (-0.249). Anxiety also indirectly predicted the physical and psychological QOLs through sleep quality (-0.088 and -0.054), respectively. As for the demographic factors, age had a negative direct effect (-0.125) on the physical QOL domain and economic status directly predicted the environmental QOL domain (0.225). Education had slight indirect effects of 0.108 and 0.090, respectively, on the physical and psychological QOL domains. The empirically validated causal model suggested that a multidimensional approach may be needed to improve the QOL of women with breast cancer.

Publisher

World Scientific Pub Co Pte Ltd

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3