Table 2.
Subgroup analysis | References | Studies, n (%) | Sample size | Effect estimates (95% CI) | P value | I2 (%) | |||||||
Intervention | |||||||||||||
|
Diet | 4 (25) | 844 | 0.61 (0.29-1.28) | .19 | 61 | |||||||
|
Exercise | 2 (12) | 463 | 1.11 (0.57-2.17) | .76 | 0 | |||||||
|
Both | 10 (62) | 6044 | 0.71 (0.51-0.99) | .05 | 74 | |||||||
mHealtha technology | |||||||||||||
|
Phone | 6 (38) | 4822 | 1.08 (0.92-1.26) | .37 | 1 | |||||||
|
App | 8 (50) | 1455 | 0.55 (0.37-0.83) | .004 | 44 | |||||||
|
Computer | 2 (12) | 1074 | 0.72 (0.14-3.74) | .69 | 71 | |||||||
Provider | |||||||||||||
|
Dietitian | 2 (12) | 2368 | 0.84 (0.36-2.00) | .70 | 86 | |||||||
|
Exercise physiologists |
|
1 (6) | 74 | 2.12 (0.36-12.36) | .40 | N/Ab | ||||||
|
Obstetricians | 13 (81) | 4909 | 0.69 (0.51-0.93) | .02 | 60 | |||||||
Duration | |||||||||||||
|
Short term | 3 (19) | 1601 | 0.60 (0.26-1.39) | .24 | 61 | |||||||
|
Medium to long term | 11 (69) | 5518 | 0.77 (0.53-1.10) | .15 | 72 | |||||||
|
Long term | 2 (12) | 232 | 0.62 (0.35-1.12) | .11 | 0 | |||||||
Ethnicity | |||||||||||||
|
Asian |
|
8 (50) | 1957 | 0.44 (0.34-0.58) | <.001 | 0 | ||||||
|
White | 8 (50) | 5394 | 1.09 (0.93-1.26) | .29 | 0 | |||||||
GDMc diagnostic criteria | |||||||||||||
|
IADPSGd | 9 (56) | 3533 | 0.58 (0.39-0.86) | .007 | 69 | |||||||
|
WHOe | 2 (12) | 783 | 1.20 (0.78-1.86) | .41 | 0 | |||||||
|
ADPSCf |
|
1 (6) | 2153 | 1.26 (0.98-1.63) | .08 | N/A | ||||||
|
Carpenter-Coustan criteria |
|
1 (6) | 389 | 0.99 (0.48-2.05) | .99 | N/A |
amHealth: mobile health.
bN/A: not applicable.
cGDM: gestational diabetes mellitus.
dIADPSG: International Association of Diabetes and Pregnancy Study Groups.
eWHO: World Health Organization.
fADPSC: Australasian Diabetes in Pregnancy Society criteria.