Sutherland 2016.
Study characteristics | ||
Methods | Study design: cluster‐RCT | |
Participants |
School inclusion criteria: government and Catholic schools; schools with post codes ranked in the bottom 50% of New South Wales post codes based on the Socio‐Economic Indexes for Australia; between 120 and 200 Year 7 students (to meet sample size requirements); and not participating in other major PA or health intervention studies School exclusion criteria: — Student inclusion criteria: all Year 7 students in participating schools will be eligible to participate in the study measurement Student exclusion criteria: classes catering for students with severe physical and mental disabilities will be excluded Setting: school Age group: adolescents Gender distribution: females and males Country/Countries where trial was performed: Australia |
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Interventions |
Intervention: intervention involved implementation of 7 PA intervention strategies and 6 strategies to support implementation of the intervention. PA intervention strategies included:
The intervention implementation strategies included
Comparator: schools allocated to control group participated in measurement components of the trial only and delivered PA teaching and promotion practices according to PE curriculum and school‐based initiatives Duration of intervention: 24 months Duration of follow‐up: 24 months Number of schools: 10 Theoretical framework: socioecological theory and health‐promoting schools framework |
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Outcomes | PA duration BMI |
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Study registration | ACTRN12612000382875 | |
Publication details |
Language of publication: English Funding: non‐commercial funding (governmental organisation) Publication status: peer‐reviewed journal |
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Stated aim for study | "The aim of this study is to determine whether a multi‐component PA intervention implemented in disadvantaged secondary schools can reduce the decline in PA associated with adolescence" | |
Notes | ||
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Comment: block randomisation using random numbers function |
Allocation concealment (selection bias) | Low risk | Comment: independent statistician conducted randomisation after data were collected |
Blinding of participants and personnel (performance bias) All outcomes | High risk | Comment: participants not blinded |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | Comment: data were collected by trained research assistants blind to group allocation |
Incomplete outcome data (attrition bias) Anthropometrics, Fitness | Low risk | Quote from publication: "2 sensitivity analyses were conducted, first using only those that provided complete adiposity outcomes at all 3 time points (complete cases), and second using multiple imputation to fill in the missing data. The multiple imputation model used the method of chained regression equations, including variables that were prognostic of missing data and additional demographic and outcome data to create 5 imputed data sets. The results from fitting the model were pooled over the 5 data sets using Rubin’s method" |
Incomplete outcome data (attrition bias) Physical activity and sedentary time | Low risk | Quote from publication: "PA outcome data were analysed assuming data were “missing at random.” Sensitivity analyses were undertaken for the primary outcome, initially adjusting for any variables on which students with and without 24‐month follow‐up accelerometer data were significantly different, and secondly, using multiple imputation" |
Selective reporting (reporting bias) | Low risk | Comment: all outcomes in protocol reported |
Cluster RCT ‐ Recruitment bias | Low risk | Comment: randomisation occurred after baseline data collected |
Cluster RCT ‐ Baseline imbalance | Unclear risk | Comment: did not assess |
Cluster RCT ‐ Loss of clusters | Low risk | Comment: no clusters lost |
Cluster RCT ‐ Incorrect analysis | Low risk | Quote from publication: "a 3‐level hierarchical model was used to capture correlations in the data with random intercepts for repeated measures on individuals clustered within schools" |