Data Sheet 1_Effects of different exercise interventions on depression and anxiety in canc

A 2026 systematic review and Bayesian network meta-analysis synthesizing 94 randomized controlled trials (n=7,668) published through July 2025. The study, authored by LongYu Nie and shared on figshare, compares and ranks exercise modalities for alleviating depression and anxiety in cancer survivors, estimating optimal doses and providing prescribing guidance.

Use Cases

• Ranking exercise modalities for depression reduction based on effect sizes (Hedges' g) and SUCRA values reported in the meta-analysis.
• Estimating optimal exercise dose (METs, duration, frequency) for anxiety benefits based on the described dose-response patterns.
• Assessing the stability of evidence for different interventions (e.g., Tai Chi vs. HIIT) based on the number of included trials (k) and certainty of evidence (GRADE) discussed.
• Investigating moderators of exercise effects, such as BMI and age, based on the reported associations.

Strengths

• Includes 94 randomized controlled trials with a total sample size of 7,668 participants.
• Employs a rigorous Bayesian network meta-analysis methodology with risk of bias (RoB 2.0) and certainty of evidence (GRADE) assessments.
• Provides specific effect size estimates (Hedges' g) and ranking probabilities (SUCRA) for multiple exercise types for both depression and anxiety.

Limitations

• Column-level documentation is absent; the dataset is a DOCX document, and field semantics must be inferred after download.
• The certainty of evidence for some promising interventions (e.g., Pilates, HIIT) is reported as low to very low due to risk of bias and small-study effects.
• Row count is unknown, which may limit suitability assessment for quantitative data extraction.

Provenance

Source

LongYu Nie via figshare.

Collection Method

Systematic review and Bayesian network meta-analysis of randomized controlled trials.

Time Range

Trials published through July 2025.

Freshness

Last updated 2026-04 20 04:11:43.

Geography

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