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. 2022 May 20;19(10):6228. doi: 10.3390/ijerph19106228

Table 3.

Methodological assessment using specific criteria described in the AHRQ to assess the risk of bias for benefits for cross-sectional studies.

Studies ltems Quality
1 2 3 4 5 6 7 8 9 Score
Balci et al. (1999) [28] + + + + + + 6/9 C
Bridgman et al. (1972) [43] + + + + + 5/9 C
Cole et al. (2009) [8] + + + + + + + + 8/9 C
Czelusniak et al. (2012) [29] + + + + + + 6/9 C
Escalente et al. (1999) [44] + + + + + 5/9 C
Lee et al. (2015) [32] + + + + + + + + 8/9 C
Ramchurn et al. (2009) [35] + + + + + + 6/9 C
Schulte et al. (1993) [37] + + + + + + + + 8/9 C
Withrington et al. (1985) [45] + + 2/9 C
Yian et al. (2012) [46] + + + + + + + + 8/9 C
Selection bias
1: Did the study apply inclusion/exclusion criteria uniformly to all comparison groups?
2: Does the design or analysis control account for important confounding and modifying variables through matching, stratification, multivariable analysis, or other approaches?
Performance bias
3: Did researchers rule out any impact from a concurrent intervention or an unintended exposure that might bias results?
Attrition bias
4: If attrition (overall or differential non response, dropout, loss to follow-up, or exclusion of participants) was a concern, were missing data handled appropriately (e.g., intention-to-treat analysis and imputation)?
Detection of bias
5: Were the outcome assessors blinded to the intervention or exposure status of participants?
6: Were interventions/exposures assessed/defined using valid and reliable measures, implemented consistently across all study participants?
7: Were outcomes assessed/defined using valid and reliable measures, implemented consistently across all study participants?
8: Were confounding variables assessed using valid and reliable measures, implemented consistently across all study participants?
Reporting bias
9: Were the potential outcomes prespecified by the researchers? Are all prespecified outcomes reported?