Author Affiliations: Department of Nursing, Inha University, Incheon, South Korea.
Cancer Nurs. 2025;48(1):E47-E54. doi: 10.1097/NCC.0000000000001273. Epub 2023 Jul 31.
Identification of factors associated with quality of life (QOL) among cancer survivors is crucial for identifying potential targets for intervention.
We aimed to provide evidence of factors associated with the QOL among posttreatment cancer survivors in Korea.
We performed a systematic literature search from January 2000 to September 2022 using PubMed, EMBASE, CINAHL, PsycINFO, and Korean databases (RISS, SCIENCEON). We evaluated study quality using the Joanna Briggs Institute Quality Appraisal Checklists for Analytical Cross-sectional Studies and performed statistical analysis using the R 3.0 software (R Foundation for Statistical Computing, Vienna, Austria) package. We analyzed the pooled effect sizes of potential QOL correlates by the random-effects model.
This meta-analysis included 31 studies with 8934 participants. The pooled estimates were significantly large for economic status ( r = -0.53); significantly medium for fatigue ( r = -0.39), anxiety ( r = -0.29), depression ( r = -0.42), self-efficacy ( r = 0.37), and social support ( r = 0.30); and significantly small for education level ( r = -0.18), job status ( r = -0.09), cancer stage ( r = -0.20), and time since diagnosis ( r = -0.26).
Low education level, having no job, low economic status, advanced cancer stage, short disease period, fatigue, anxiety, and depression were significantly associated with worse QOL, whereas self-efficacy and social support were significantly associated with better QOL.
The findings have potential implications for identifying "at-risk survivors" of deteriorated QOL and for suggesting powerful strategies (eg, enhancing self-efficacy or social support) for improving QOL.
确定与癌症幸存者生活质量(QOL)相关的因素对于确定潜在的干预目标至关重要。
我们旨在为韩国接受治疗后的癌症幸存者的 QOL 相关因素提供证据。
我们从 2000 年 1 月至 2022 年 9 月,使用 PubMed、EMBASE、CINAHL、PsycINFO 和韩国数据库(RISS、SCIENCEON)进行了系统文献检索。我们使用 Joanna Briggs 研究所分析性横断面研究质量评估清单评估研究质量,并使用 R 3.0 软件(位于奥地利维也纳的 R 基金会统计计算)包进行统计分析。我们使用随机效应模型分析潜在 QOL 相关性的汇总效应大小。
这项荟萃分析包括 31 项研究,涉及 8934 名参与者。经济状况( r = -0.53)、疲劳( r = -0.39)、焦虑( r = -0.29)、抑郁( r = -0.42)、自我效能感( r = 0.37)和社会支持( r = 0.30)的汇总估计值显著较大,而教育水平( r = -0.18)、工作状况( r = -0.09)、癌症分期( r = -0.20)和诊断后时间( r = -0.26)的汇总估计值显著较小。
较低的教育水平、没有工作、较低的经济状况、晚期癌症阶段、较短的疾病期、疲劳、焦虑和抑郁与较差的 QOL 显著相关,而自我效能感和社会支持与较好的 QOL 显著相关。
这些发现可能有助于识别 QOL 恶化的“高危幸存者”,并提出提高 QOL 的有力策略(例如,增强自我效能感或社会支持)。