Associations Between Exercise Training, Physical Activity, Sedentary Behaviour and Mortality: An Umbrella Review of Meta‐Analyses
Bibliographic record
Abstract
BACKGROUND: Numerous studies support the association of exercise training, physical activity (PA) and sedentary behaviour (SB) with both mortality and morbidity outcomes. The results across studies have been inconsistent, and no umbrella reviews have yet been conducted on this topic. METHODS: We conducted an umbrella review of meta-analyses of observational studies by screening articles in PubMed/MEDLINE, EMBASE and Web of Science databases from inception to 30 April 2024. Quality appraisal of each included meta-analysis was done using the AMSTAR 2 tool, with evidence certainty evaluated based on statistical significance, study size, heterogeneity, small-study effects, prediction intervals (PI) and potential biases. RESULTS: Frothy-eight meta-analyses were included (AMSTAR 2 ratings: high 25, moderate 10, low 2 and critically low 11). No evidence was highly suggestive or convincing. Suggestive evidence linked any PA and SB to lower and higher risks of all-cause, cardiovascular and cancer mortality. Suggestive evidence indicated a significant association between self-reported and device-measured total PA (equivalent odds ratio [eOR] 0.78 [0.70-0.86] and eHR = 0.50 [0.38-0.65], respectively), self-reported leisure time PA (eHR = 0.73 [0.66-0.80]), device-measured daily steps (eHR = 0.44 [0.35-0.56]) and aerobic plus resistance training (eHR = 0.60 [0.56-0.64]) with lower all-cause mortality. Weak evidence supported links between self-reported and device-measured SB and higher mortality (eHR = 1.3 [1.22-1.38] and eHR = 2.16 [1.09-4.28], respectively). Suggestive evidence was noted for the association between self-reported leisure time PA (eHR = 0.74 [0.69-0.80]) and resistance training (eHR = 0.82 [0.81-0.84]) with cardiovascular mortality. Suggestive evidence was also found for the association between self-reported leisure time PA (eHR = 0.87 [0.83-0.91]) with cancer mortality. Associations between self-reported running time and mortality from all causes, cardiovascular diseases (CVD) and cancer did not reach statistical significance nor did the association between low skeletal muscle mass and all-cause mortality. Meta-regression analyses showed that physical activity reduces mortality risk, with age reducing the protective effects against all-cause, CVD and cancer mortality. We also found that combined exercise training (aerobic plus resistance) most effectively reduces all-cause and CVD mortality. CONCLUSIONS: Converging evidence supports that physical activity and sedentary behaviour are associated with lower and higher rates of all-cause, cardiovascular and cancer mortality. More high-quality prospective studies are needed for a better understanding of the associations between running time and also TV-viewing time and health-related outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.050 | 0.139 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.020 | 0.032 |
| Bibliometrics | 0.017 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".