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. 2020 Jul 3;22(Suppl 1):e13076. doi: 10.1111/obr.13076

TABLE 1.

Basic characteristics of 18 studies included

First author (year) Study area, country a Sample size Sample age (years, range and/or mean ± SD) b Sample characteristics (follow‐up status for longitudinal studies) Statistical model
Cohort studies
Chen (2016) 26 Arkansas, USA [S] 21 639 In 2003–2004 School children (followed up from academic year 2003/2004 to 2009/2010 with seven repeated measures) Growth curve model and cox regression
Lee (2012) 29 USA [N] 7710 6.2 ± 0.4 in 1999 School children (follow up from 1999 to 2004 with four repeated measures and an attrition rate of 43.0%) Multilevel linear regression
Leung (2011) 6 California, USA [CT4] 353 6–7 in 2005 Girls (followed up from 2005 to 2008 with three repeated measures and an attrition rate of 20.5%) Generalized linear and logistic regression
Powell (2009) 21 USA [N] 5215 12–17 (15.5 ± 1.7) in 1997 Adolescents living at home (followed up from 1997 to 2000 with four repeated measures) Multilevel linear regression
Shier (2016) 24 USA [N] 933 12–13 in 2013 Children in military families Multiple linear regression
Sturm (2005) 15 USA [N] 13 282 6.2 ± 0.4 in 1999 Elementary school children (followed up from 1999 to 2002 with three repeated measures and an attrition rate of 42.4%) Multilevel linear regression
Zhang (2016) 23 China [S9] 348 6–17 (10.9 ± 2.8) in 2009 Followed up from 2009 to 2011 with two repeated measures Generalized estimating equation
Cross‐sectional studies
Auld (2009) 20 USA [N] 73 041 14.7 in 1997–2003 School children in Grades 8 and 10 Quantile regression
Davis (2009) 27 California, USA [S] 529 367 In 2002–2005 Middle and high school students Linear and logistic regression
Fiechtner (2013) 28 Massachusetts, USA [S] 438 2–6.9 in 2006–2009 Overweight and obese preschool‐age children Multivariate linear regression
Fiechtner (2015) 22 Massachusetts, USA [S] 49 770 4–18 in 2011–2012 Paediatric patients Multivariate linear regression
Galvez (2009) 18 New York, USA [C] 323 6–8 in 2004 NA Multivariate logistic regression
Gorski Findling (2018) 19 USA [N] 3748 2–18 in 2012–2013 NA Logistic regression
Li (2015) 17 Alabama, USA [S] 613 4–13 in 2013 Elementary school children Multilevel regression
Mellor (2011) 16 Virginia, USA [S] 2023 11.4 ± 1.7 in 2006 Grades 3, 6, and 7 students Linear and logistic regression
Powell (2007) 13 USA [N] 73 079 14.7 ± 1.2 in 1997–2003 School children at Grades 8–10 (seven annual repeated measures from 1997 to 2003) Multilevel linear regression
Seliske (2009) 14 Canada [N] 7281 11–16 in 2005–2006 Grades 6–10 school children Multilevel logistic regression
Wall (2012) 25 Minneapolis/St. Paul, USA [C] 2682 14.5 ± 2.0 in 2009–2010 Public middle and high school students Multivariate linear regression

Abbreviation: NA, not available.

a

Study area: [N], national; [S], state (e.g., in the United States) or equivalent unit (e.g., province in China and Canada); [Sn], n states or equivalent units; [CT], county or equivalent unit; [CTn], n counties or equivalent units; [C], city; [Cn], n cities.

b

Sample age: age in baseline year for cohort studies or mean age in survey year for cross‐sectional studies.