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Meta-Analysis
. 2025 Feb 3;8(2):e2457859.
doi: 10.1001/jamanetworkopen.2024.57859.

Exercise Interventions for Depression, Anxiety, and Quality of Life in Older Adults With Cancer: A Systematic Review and Meta-Analysis

Rou Yi Soong  1 , Chen Ee Low  1 , Vanessa Ong  1 , Isaac Sim  1 , Charmaine Lee  1 , Fattah Lee  1 , Lucas Chew  1 , Chun En Yau  1 , Ainsley Ryan Yan Bin Lee  1 , Matthew Zhixuan Chen  2
Affiliations
Meta-Analysis

Exercise Interventions for Depression, Anxiety, and Quality of Life in Older Adults With Cancer: A Systematic Review and Meta-Analysis

Rou Yi Soong et al. JAMA Netw Open. .

Abstract

Importance: Cancer and its treatment negatively impact the mental health of older adults. The potential of exercise interventions as a complementary treatment to alleviate the psychological impacts of cancer is promising, but there are gaps in the current literature.

Objective: To determine if exercise interventions are associated with improvements in psychological outcomes among older adults with cancer.

Data sources: PubMed, Embase, PsycINFO, and Cochrane databases were searched from database inception to November 5, 2024. Search terms used were geriatrics, cancer, depression, anxiety, quality of life, and exercise interventions.

Study selection: English-language randomized clinical trials (RCTs) that analyzed the association of various exercise interventions with at least 1 of 3 psychological outcomes (depression, anxiety, or health-related quality-of-life [HRQOL]) were included. The control groups were given usual care. Studies were included if the mean age of participants was older than 60 years and had participants with a diagnosis of any cancer regardless of comorbidities.

Data extraction and synthesis: Studies were screened, and data were extracted by 2 independent authors. Random-effects meta-analyses and meta-regressions were used for analysis. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline was followed.

Main outcomes and measures: The primary outcomes were depression, anxiety, and HRQOL. Standardized mean difference (SMD) was used to quantify the association of exercise interventions with outcomes.

Results: A total of 27 RCTs with 1929 participants were included. Meta-analyses observed an association of exercise with a significant reduction in levels of depression (SMD = -0.53; 95% CI, -0.79 to -0.28) and anxiety (SMD = -0.39; 95% CI, -0.66 to -0.12) and improvements in overall HRQOL (SMD = 0.63; 95% CI, 0.10 to 1.17). Subgroup analyses revealed that mind-body exercise interventions were significantly associated with improved depression (SMD = -0.89; 95% CI, -1.51 to -0.27) and anxiety levels (SMD = -0.77; 95% CI, -1.54 to -0.01) compared with conventional exercise interventions.

Conclusion: In this systematic review and meta-analysis of 27 RCTs, exercise interventions were found to be associated with significantly reduced levels of depression and anxiety and significantly improved HRQOL in older adults with cancer. These findings suggest that health care professionals and policymakers should focus more on implementing exercise interventions to improve mental health outcomes in this vulnerable population.

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Conflict of interest statement

Conflict of Interest Disclosures: None reported.

Figures

Figure 1.
Figure 1.. Flowchart of Studies
Figure 2.
Figure 2.. Meta-Analysis of Exercise and Depression Levels Among Older Adults With Cancer
The size of the boxes indicates the weight of each study to the overall pooled estimate. SMD indicates standardized mean difference.
Figure 3.
Figure 3.. Meta-Analysis of Exercise and Anxiety Levels Among Older Adults With Cancer
The size of the boxes indicates the weight of each study to the overall pooled estimate. SMD indicates standardized mean difference.
Figure 4.
Figure 4.. Meta-Analysis of Exercise and Health-Related Quality of Life Levels Among Older Adults With Cancer
The size of the boxes indicates the weight of each study to the overall pooled estimate. SMD indicates standardized mean difference.
See this image and copyright information in PMC

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