Table 1.
Study ID | Author (Year) | Country | Study Design | Study Period | Sample Size (Boy %) | Age | Quality a |
---|---|---|---|---|---|---|---|
1 | Zheng et al. (2021) | China | Cross-sectional | 2019 | 36,456 (52.1) | 9–17 | 13 |
2 | Zhang et al. (2021a) | China | Cross-sectional | 2013–2014 | 44,718 (50.5) | 7–18 | 13 |
3 | Zhang et al. (2021b) | China | Cross-sectional | 2013–2014 | 9897 (50.3) | 10–18 | 13 |
4 | Tamayo et al. (2021) | Mexico | Cross-sectional | 2006 and 2012 | 4306 (51.5) | 2–18 | 11 |
5 | Bont et al. (2021) | Spain | Cohort | 2006–2018 | 416,955 (51.4) | 2–15 | 12 |
6 | Vrijheid et al. (2020) | UK | Cross-sectional | 2013–2016 | 1301 (54.7) | 6–11 | 11 |
7 | Guo et al. (2020) | China | Cross-sectional | 2013–2014 | 40,953 (48.3) | 6–17 | 13 |
8 | Bont et al. (2020) | Spain | Cohort | 2011–2016 | 79,992 (51.0) | 0–5 | 13 |
9 | Chen et al. (2020) | China | Cohort | 2012–2014 | 5752 (52.5) | 0–2 | 12 |
10 | Bont et al. (2019) | Spain | Cross-sectional | 2012 | 2660 (51.1) | 7–10 | 13 |
11 | Bloemsma et al. (2019) | Netherlands | Cohort | 1996–2014 | 3680 (51.9) | 3–17 | 12 |
12 | Kim et al. (2018) | US | Cohort | 2002–2003 | 2318 (50.6) | 6.5 ± 0.7 | 13 |
13 | Fioravanti et al. (2018) | Italy | Cohort | 2003–2004 | 719 (50.6) | 4–8 | 12 |
14 | McConnell et al. (2015) | US | Cohort | 2003–2014 | 3318 (49.6) | 10.1 ± 0.59 | 13 |
15 | Dong et al. (2014) | China | Cross-sectional | 2009 | 30,056 (50.4) | 2–14 | 11 |
Abbreviations: US, United States of America; UK, United Kingdom of Great Britain and Northern Ireland. a National Institutes of Health’s Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies (NIH-QAT)