Table 3

Meta-regression of effect modifiers

Estimate (LOR)SEt valueP value95% CI
Crude model 51 studies (k=104)
 Main effects
  Intercept−0.350.05−6.8<0.0001−0.46 to −0.25
  Female (%)0.060.180.340.7335−0.30 to 0.43
  Age−0.060.07−0.890.3733−0.19 to 0.07
  Design−0.170.06−2.820.0059−0.28 to −0.05
  Follow-up0.0040.0080.530.5965−0.012 to 0.02
  Exposure dose−0.0190.002−8.6<0.0001−0.02 to −0.14
  Depression measure0.070.120.570.5707−0.17 to 0.31
  Physical activity measure−0.180.04−4.2<0.0001−0.27 to −0.10
  Physical activity domain−0.090.13−0.700.4876−0.34 to 0.16
  Study quality0.0060.070.820.9352−0.14 to 0.15
Adjusted model 91 studies (k=179)
 Intercept−0.260.022−11.9<0.0001−0.31 to −0.22
 Female (%)−0.0110.04−0.260.7986−0.10 to 0.08
 Age0.0090.0260.360.7212−0.04 to 0.06
 Design−0.170.05−3.80.0002−0.26 to −0.08
 Follow-up−0.0020.004−0.600.5552−0.01 to 0.005
 Exposure dose−0.080.007−11.2<0.0001−0.09 to −0.06
 Depression measure−0.050.05−0.990.3250−0.14 to 0.05
 Physical activity measure0.0170.050.350.7291−0.08 to 0.11
 Physical activity domain−0.090.06−1.570.1192−0.20 to 0.024
 Study quality−0.0320.036−0.880.3805−0.10 to 0.040
 Adjustments−0.0120.032−0.380.7062−0.07 to 0.05
  • K, number of effects; LOR, log odds ratio.