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. 2024 Jan 17;12:e49373. doi: 10.2196/49373

Table 2.

Subgroup analyses of the included studies (n=16).

Subgroup analysis References Studies, n (%) Sample size Effect estimates (95% CI) P value I2 (%)
Intervention

Diet
  • Tang et al [24]

  • Zhou et al [27]

  • Kang and Sung [28]

  • Kennelly et al [36]

4 (25) 844 0.61 (0.29-1.28) .19 61

Exercise
  • Ferrara et al [30]

  • Seneviratne et al [34]

2 (12) 463 1.11 (0.57-2.17) .76 0

Both
  • Chen [22]

  • Li [23]

  • Cao [25]

  • Wu and Guang [26]

  • Ding et al [29]

  • Liu et al [31]

  • Dodd et al [32]

  • Simmons et al [33]

  • Poston et al [35]

  • Sagedal et al [37]

10 (62) 6044 0.71 (0.51-0.99) .05 74
mHealtha technology

Phone
  • Ferrara et al [30]

  • Simmons et al [33]

  • Poston et al [35]

  • Sagedal et al [37]

  • Liu et al [31]

  • Dodd et al [32]

6 (38) 4822 1.08 (0.92-1.26) .37 1

App
  • Chen [22]

  • Tang et al [24]

  • Cao [25]

  • Wu and Guang [26]

  • Zhou et al [27]

  • Kang and Sung [28]

  • Ding et al [29]

  • Kennelly et al [36]

8 (50) 1455 0.55 (0.37-0.83) .004 44

Computer
  • Li [23]

  • Seneviratne et al [34]

2 (12) 1074 0.72 (0.14-3.74) .69 71
Provider

Dietitian
  • Ding et al [29]

  • Dodd et al [32]

2 (12) 2368 0.84 (0.36-2.00) .70 86

Exercise physiologists
  • Seneviratne et al [34]

1 (6) 74 2.12 (0.36-12.36) .40 N/Ab

Obstetricians
  • Chen [22]

  • Li [23]

  • Tang et al [24]

  • Cao [25]

  • Wu and Guang [26]

  • Zhou et al [27]

  • Kang and Sung [28]

  • Ferrara et al [30]

  • Liu et al [31]

  • Simmons et al [33]

  • Poston et al [35]

  • Kennelly et al [36]

  • Sagedal et al [37]

13 (81) 4909 0.69 (0.51-0.93) .02 60
Duration

Short term
  • Zhou et al [27]

  • Liu et al [31]

  • Poston et al [35]

3 (19) 1601 0.60 (0.26-1.39) .24 61

Medium to long term
  • Chen [22]

  • Li [23]

  • Wu and Guang [26]

  • Kang and Sung [28]

  • Ding et al [29]

  • Ferrara et al [30]

  • Dodd et al [32]

  • Simmons et al [33]

  • Seneviratne et al [34]

  • Kennelly et al [36]

  • Sagedal et al [37]

11 (69) 5518 0.77 (0.53-1.10) .15 72

Long term
  • Tang et al [24]

  • Cao [25]

2 (12) 232 0.62 (0.35-1.12) .11 0
Ethnicity

Asian
  • Chen [22]

  • Li [23]

  • Tang et al [24]

  • Cao [25]

  • Wu and Guang [26]

  • Zhou et al [27]

  • Kang and Sung [28]

  • Ding et al [29]

8 (50) 1957 0.44 (0.34-0.58) <.001 0

White
  • Ferrara et al [30]

  • Liu et al [31]

  • Dodd et al [32]

  • Simmons et al [33]

  • Seneviratne et al [34]

  • Poston et al [35]

  • Kennelly et al [36]

  • Sagedal et al [37]

8 (50) 5394 1.09 (0.93-1.26) .29 0
GDMc diagnostic criteria

IADPSGd
  • Chen [22]

  • Li [23]

  • Cao [25]

  • Zhou et al [27]

  • Kang and Sung [28]

  • Ding et al [29]

  • Seneviratne et al [34]

  • Poston et al [35]

  • Kennelly et al [36]

9 (56) 3533 0.58 (0.39-0.86) .007 69

WHOe
  • Simmons et al [33]

  • Sagedal et al [37]

2 (12) 783 1.20 (0.78-1.86) .41 0

ADPSCf
  • Dodd et al [32]

1 (6) 2153 1.26 (0.98-1.63) .08 N/A

Carpenter-Coustan criteria
  • Ferrara et al [30]

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.