Best Practices for Meta-Reviews in Physical Activity and Health Research: Insights From the Physical Activity Guidelines for Americans Advisory Committee Scientific Report.
BACKGROUND: Systematic reviews (SRs) and meta-analyses (MAs) have proliferated with a concomitant increase in reviews of SRs/MAs or "meta-reviews" (MRs). As uncovered by the 2018 US Physical Activity Guidelines Advisory Committee (PAGAC), there is a paucity of best practice guidance on MRs on physical activity health-related research. This manuscript aims to fill this gap. METHODS: In total, the PAGAC conducted 38 literature searches across 3 electronic databases and triaged 20,838 titles, 4913 abstracts, and 2139 full texts from which 1130 articles qualified for the PAGAC Scientific Report. RESULTS: During the MR process, the following challenges were encountered: (1) if the SR/MA authors had limited experience in synthesis methodology, they likely did not account for risk of bias in the conclusions they reached; (2) many SRs/MAs reviewed the same primary-level studies; (3) many SRs/MAs failed to disclose effect modifier analyses; (4) source populations varied; (5) physical activity exposures were nonstandardized; and (6) dose-response effects or effect modification of the physical activity exposure could not be identified. CONCLUSIONS: Using examples from the PAGAC Scientific Report, we provide (1) a high-level introduction to MRs; (2) recommended steps in conducting a MR; (3) challenges that can be encountered; and (4) guidance in addressing these challenges.
Duke Scholars
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- Systematic Reviews as Topic
- Research Report
- Public Health
- Meta-Analysis as Topic
- Humans
- Exercise
- Evidence-Based Practice
- Databases, Factual
- Biomedical Research
- Bias
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Systematic Reviews as Topic
- Research Report
- Public Health
- Meta-Analysis as Topic
- Humans
- Exercise
- Evidence-Based Practice
- Databases, Factual
- Biomedical Research
- Bias