Table 2. Summary risk estimates and I2 measures of heterogeneity from random-effects models stratified by selected study characteristics.
Stratification criterion | Number of included RRs | RR (95% CI) (high vs low PA) from random-effects model | I2 (%) | P-valuea |
---|---|---|---|---|
Methodologic qualityb | ||||
RRs within upper tertile of quality score | 11 | 0.78 (0.66, 0.92) | 33 | |
RRs within intermediate tertile of quality score | 12 | 1.00 (0.89, 1.13) | 0 | |
RRs within lower tertile of quality score |
14 |
0.93 (0.80, 1.07) |
30 |
0.02 |
PA assessment | ||||
RRs based on qualitative PA assessments | 18 | 0.98 (0.85, 1.14) | 35 | |
RRs based on energy expenditure | 6 | 0.97 (0.84, 1.12) | 0 | |
RRs based on MVPA duration | 6 | 0.85 (0.69, 1.04) | 43 | |
RRs based on MVPA frequency |
6 |
0.72 (0.53, 0.97) |
53 |
0.24 |
PA domain | ||||
RRs based on total activity | 4 | 0.95 (0.76, 1.20) | 0 | |
RRs based on occupational activity | 14 | 0.91 (0.79, 1.04) | 21 | |
RRs based on recreational activity |
19 |
0.88 (0.77, 1.00) |
40 |
0.84 |
Timing in life of PA | ||||
RRs based on recent PA | 16 | 0.83 (0.74, 0.93) | 28 | |
RRs based on consistent PA over time | 11 | 0.96 (0.79, 1.15) | 0 | |
RRs based on past PA |
10 |
1.01 (0.84, 1.20) |
46 |
0.18 |
Gender | ||||
RRs among men | 17 | 0.93 (0.84, 1.02) | 2 | |
RRs among women | 9 | 0.95 (0.66, 1.36) | 57 | |
RRs among men and women |
11 |
0.85 (0.73, 0.98) |
42 |
0.41 |
Study design | ||||
RRs from case–control studies | 18 | 0.91 (0.79, 1.04) | 36 | |
RRs from cohort studies |
19 |
0.89 (0.80, 0.99) |
19 |
0.93 |
Study region | ||||
RRs from studies in North America | 18 | 0.85 (0.77, 0.94) | 0 | |
RRs from studies in Europe | 16 | 0.95 (0.80, 1.12) | 51 | |
RRs from studies in Asia |
3 |
1.00 (0.83, 1.20) |
0 |
0.63 |
Number of adjustment factorsc | ||||
RRs within upper tertile of number of adjustment factors | 12 | 0.83 (0.71, 0.97) | 40 | |
RRs within intermediate tertile of number of adjustment factors | 4 | 0.87 (0.68, 1.10) | 52 | |
RRs within lower tertile of number of adjustment factors |
21 |
0.96 (0.85, 1.08) |
14 |
0.28 |
Adjustment for smoking and obesity | ||||
RRs adjusted for smoking and obesity | 23 | 0.92 (0.82, 1.03) | 37 | |
RRs adjusted for smoking but not obesity | 3 | 0.71 (0.54, 0.94) | 0 | |
RRs adjusted neither for smoking nor obesity |
11 |
0.89 (0.78, 1.01) |
2 |
0.31 |
Adjustment for hypertension | ||||
RRs adjusted for hypertension | 12 | 0.85 (0.73, 0.97) | 30 | |
RRs not adjusted for hypertension |
25 |
0.93 (0.83, 1.03) |
24 |
0.30 |
Adjustment for diabetes | ||||
RRs adjusted for diabetes | 5 | 0.81 (0.66, 0.99) | 57 | |
RRs not adjusted for diabetes | 32 | 0.92 (0.84, 1.01) | 14 | 0.18 |
Abbreviations: CI=confidence interval; MVPA=moderate-to-vigorous physical activity; PA=physical activity; RR=relative risk.
P-values for effect heterogeneity across strata were obtained from random-effects meta-regression comparing the model including the stratification variable as a single explanatory variable with the null model not including any explanatory variables.
The quality scores ranged from 45 to 83 percentage points (out of 100 percentage points), with lower and upper tertile cutoffs of 62 percentage points and 71 percentage points, respectively.
The number of adjustment factors (not counting adjustments for age and sex) ranged between 0 and 12, with lower and upper tertile cutoffs of 3 and 5, respectively.