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. 2023 Mar 23;11:1095146. doi: 10.3389/fpubh.2023.1095146

Table 4.

Risk of bias in the studies included.

Author/ measurement Pre-intervention During intervention Post-intervention
Confounding Selection Intervention measures Interventions performed Outcome measures Reporting bias
Torres et al. (35) X Lack of control of variables X Selection by recreation via X Measurements in subsamples not the whole population
Dill et al. (36) X Lack of confusion management X Selection of participation in boulevard X Losses to follow-up X Measures vary among participants as there are losses to follow-up
Panter et al. (37) √ Protocol X Selection of participation
Gesell et al. (38) X Broad inclusion criteria
Barradas et al. (39) X Lack of control of variables X Selection by recreation via X Measurements in subsamples not the whole population
Goodman et al. (40) √ Protocol X Selection of participation
Simões et al. (41) X Lack of control of variables X Selection by participation in the cities
Esdaile et al. (42) X Lack of control of confounding variables X Selection is by entry into the Peach program X Measures focus on BMI
Kapinos and Yakusheva (43) X Lack of control of variables X Selection by allocation of bedrooms X Bias due to self-reporting measures or no direct measurement of anthropometric changes
Hunt et al. (44) X Broad inclusion criteria in after-school program X Measurements are not population-wide
Lee et al. (45) X Lack of control of confounding variables X Selection is by entry into the Peach program X Retrospective measures
Allais et al. (46) X Lack of control of confounding variables X Selection is by use of subway stairs X Loss to follow up.
Zhu et al. (47) X Lack of control of confounding variables X Loss to follow-up X Non-uniform measurements in the two groups
Tarp et al. (48) X Confusion present no nutritional information in the analysis X Selection bias, although it establishes entry criteria X Loss to follow-up and data.
D'Agostino et al. (49) X Lack of control of confounding variables X Selection by participation in the program although there are broad criteria
Nicosia and Datar (50) X Confusion present due to program entry at military bases X Risk of bias measured by self-reporting
Mölenberg et al. (52) X Confusion because it is handled by participation in the new spaces of the city √ X Selection bias due to not having clear inclusion criteria X Loss of sample of the subjects evaluated because they lived far from the selection area X Not having GPS measurements that determines the distances of the children to the work areas, and memory bias in the parents could affect the measurement
Kapinos et al. (53) X Lack of control of variables √√√ X Selection by allocation of bedrooms X Bias by self-report measures or by not directly measuring anthropometric changes
Sharma et al. (54) X Risk due to control of confounding variables
Madsen (55) X Risk due to control of confounding variables X √√ √ X Selection by allocation fitness program X Risk in measurement only imc measure is reported as indirect measure of activity
Klakk et al. (56) X Selection bias, although it establishes entry criteria √ X Loss to follow-up and data
Aittasalo et al. (57) X Attempt is made to control variables but missing √ X Selection by use of transportation X Loss of sample of subjects evaluated X Bias by self-report measures and loss in accelerometry measures X Attempt is made to control variables but missing √
Stone et al. (58) √ Protocol X Convenience selection bias X Loss of measured variables due to incomplete data
Azevedo et al. (59) X Lack of control of variables X Differences in baseline between schools X Loss to follow-up and data X Loss of measured variables due to incomplete data
Heinen et al. (60) X Confusion present due to participation in the program. X Selection due to participation in the bicycle programs X Loss to follow-up X Bias due to self-reporting measures and loss in measures
Sarmiento et al. (61) X Lack of control of variables X Selection by recreo via
McGavock et al. (62) X Lack of control of variables X Selection by frozen channel use X Bias by measures of register of channel use