ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2026
[How comparable are physical activity data? Methodological differences and their implications for evidence-based policy decisions].
Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Physical activity is a key determinant of health and plays a crucial role in the prevention of various chronic diseases and mental disorders. Numerous studies demonstrate the positive effects of regular physical activity on morbidity, mortality, and quality of life. Recent global analyses, such as the Lancet study by Strain et al. (2024), indicate comparatively high compliance with WHO physical activity recommendations in Germany and estimate the proportion of insufficiently active adults at around 12%. In contrast, national surveys report substantially higher rates of up to 54%.This discussion article takes this discrepancy as a starting point to compare and methodologically contextualize study findings. Differences in measurement instruments, survey modes, domains considered, operational definitions, and modelling approaches can substantially influence prevalence estimates and limit comparability across studies. Self-reported data may overestimate physical activity, while objective measures such as accelerometry present their own methodological challenges.Internationally modeled estimates provide valuable data for cross-country comparisons but should be interpreted in light of their methodological foundations when assessing the national situation. Further methodological development is needed in assessing physical activity. Combining self-report and objective measurement could help provide a more robust basis for evidence-based policy decisions to promote physical activity.
Indexed as
Identifiers
42886230What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.