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. 2021 Sep 23;2021(9):CD007651. doi: 10.1002/14651858.CD007651.pub3

Ickovics 2019.

Study characteristics
Methods Study design: cluster‐RCT
Participants School inclusion criteria: K through 8 district schools New Haven, Connecticut
School exclusion criteria:
Student inclusion criteria: students enrolled in Grade 5 when the study began or began attending a target school in Grade 6
Student exclusion criteria:
Setting: school, urban
Age group: children
Gender distribution: females and males
Country where trial was performed: USA
Interventions Intervention 1: PA only
Intervention 2: Nutrition + PA
All schools received $500/y to establish a School Wellness team, focused on written policy implementation relevant to randomised condition. Research staff supported schools with 1 to 2 visits per month to provide workshops 
PA: high‐quality PE class at least 90 minutes/week to foster a lifelong appreciation for physical fitness and to participate in fitness activities; promotion of active transport; integration of PA into the classroom; fitness challenges. PA will not be used as a form of punishment (e.g. running laps, withholding recess), distribution of activity monitors, use of online tracking software, family‐targeted newsletters
Nutrition: appealing and attractive meals, clean and pleasant setting, no fried vegetables, only low‐fat, non‐flavoured milk, whole‐grain cereals. Schools will not use food or beverages as rewards or punishments, and will limit celebrations involving food to once per month and with only 1 food or beverage that does not meet school nutrition standards. Nutrition education provided through parent workshops, student materials, school menus, and bulletins. Schools asked to engage parents and students in thorough taste testing of new menu options and to assist with selecting food
Comparator 1: nutrition intervention only
Comparator 2: delayed control; schools received other health‐relevant training (e.g. oral health, cold or influenza prevention) during the study period, with obesity‐related materials delivered at study completion
Duration of intervention: 3 years
Duration of follow‐up: annually for 3 years
Number of schools: 12
Theoretical Framework: —
Outcomes BMI
Study registration NCT02043626 (retrospectively registered)
Publication details Language of publication: English 
Funding: non‐commercial funding (research funding body)
Publication status: peer‐reviewed journal
Stated aim for study "The objective of this cluster randomised trial is to assess whether implementation of specific nutrition and PA components of the written school wellness policies lead to healthier student outcomes, including BMI trajectories and behavioral correlates"
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote from publication: "randomisation was achieved using a computer‐generated sequence"
Allocation concealment (selection bias) Low risk Quote from publication: "to minimize selection bias, all schools were recruited before randomisation"
Blinding of participants and personnel (performance bias)
All outcomes High risk Quote from publication: "neither schools nor researchers could be blinded to study condition"
Blinding of outcome assessment (detection bias)
All outcomes High risk Quote from publication: "neither schools nor researchers could be blinded to study condition"
Incomplete outcome data (attrition bias)
Anthropometrics, Fitness Low risk Comment: most missing data due to students moving
Selective reporting (reporting bias) High risk Comment: mental health and standardised test scores not reported
Cluster RCT ‐ Recruitment bias Unclear risk Quote from publication: "schools were recruited before randomisation"
Comment: unclear when baseline data were collected
Cluster RCT ‐ Baseline imbalance Low risk Comment: there were no notable school‐level differences in size or relevant socioeconomic characteristics
Cluster RCT ‐ Loss of clusters Low risk Comment: no clusters lost
Cluster RCT ‐ Incorrect analysis Low risk Quote from publication: "multivariable analyses accounted for multilevel nature of data, adjusting for intra‐cluster correlation among repeated measures within students and schools, and allowed use of all study time points"