Evidence map›Paper›PMID 29669534›Full record

ArticleBMC public health2018

Long-term effects of comprehensive school health on health-related knowledge, attitudes, self-efficacy, health behaviours and weight status of adolescents.

Nicole Naadu Ofosu, John Paul Ekwaru, Kerry Ann Bastian, Sarah A Loehr, Kate Storey, John C Spence, Paul J Veugelers

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Nicole Naadu OfosuSchool of Public Health, University of Alberta, 3-50 University Terrace, 8303 - 112 Street, Edmonton, AB, T6G 2T4, Canada.
John Paul EkwaruSchool of Public Health, University of Alberta, 3-50 University Terrace, 8303 - 112 Street, Edmonton, AB, T6G 2T4, Canada.
Kerry Ann BastianSchool of Public Health, University of Alberta, 3-50 University Terrace, 8303 - 112 Street, Edmonton, AB, T6G 2T4, Canada.
Sarah A LoehrSchool of Public Health, University of Alberta, 3-50 University Terrace, 8303 - 112 Street, Edmonton, AB, T6G 2T4, Canada.
Kate StoreySchool of Public Health, University of Alberta, 3-50 University Terrace, 8303 - 112 Street, Edmonton, AB, T6G 2T4, Canada.
John C SpenceFaculty of Kinesiology, Sport, and Recreation, University of Alberta, 3-113 University Hall, Van Vliet Complex, Edmonton, AB, T6G 2H9, Canada.
Paul J VeugelersSchool of Public Health, University of Alberta, 3-50 University Terrace, 8303 - 112 Street, Edmonton, AB, T6G 2T4, Canada. paul.veugelers@ualberta.ca.
University of Alberta · CA

Funding

Alberta Innovates - Health Solutions (AI)[201300671]
6 · The paper itself

Abstract

backgroundAPPLE Schools is a Comprehensive School Health (CSH) project, started in schools in socioeconomically disadvantaged areas where dietary habits are poor, physical activity (PA) levels are low, and obesity rates are high. Earlier research showed program effects whereby energy intake, PA and weight status of students in APPLE Schools had reached similar levels as that of students in other schools. However, it is unknown whether the effects of CSH are sustained when children grow into adolescents. Effects of APPLE Schools on health-related knowledge, attitudes, self-efficacy, diet, PA, and weight status, seven years after the start of the project, when students were in junior high and high school were assessed. We hypothesised that APPLE School graduates and comparison school graduates will remain at similar levels for these indicators.

methodsIn the 2015/16 school year, junior high and high school graduates (grades 7-12) in Northern Alberta, Canada participated in a Youth Health Survey. Participants included graduates from APPLE elementary schools (n = 202) and comparison elementary schools (n = 338). Health-related knowledge, attitudes, self-efficacy, diet (24-h dietary recall), PA (pedometer step count) and weight status were assessed. Mixed effects regression was employed to assess differences in these outcomes between APPLE School graduates and comparison school graduates. Comparisons between elementary school (2008/09) and junior high/high school (2015/16) of self-efficacy, PA and weight status were also conducted.

resultsAPPLE School graduates did not significantly differ from comparison school graduates on any outcomes (i.e. knowledge, attitudes, self-efficacy, diet, PA, and weight status). Additionally, no significant differences existed in the comparisons between 2008/09 and 2015/16.

conclusionOur findings of no difference between the APPLE School graduates and comparison school graduates suggest that the effects of APPLE Schools may continue into adolescence or the new school environment may have an equalizing effect on the students. Since lifestyle practices are adopted throughout childhood and adolescence, and the school environment has an important influence on development, an extension of CSH initiatives into junior high/high schools should be considered. This will help to consolidate and support the continuance of healthy lifestyle messages and practices throughout childhood and adolescence.

Indexed as

Body WeightHealth BehaviorHealth Knowledge, Attitudes, PracticeSchool Health ServicesSelf EfficacyAdolescentAlbertaChildExerciseFeeding BehaviorFemaleHealth SurveysHumansMalePediatric ObesityPoverty AreasComprehensive school healthHealth promotionHealthy eatingObesityPAPublic health

Identifiers

PMID29669534
PMCPMC5907458
OpenAlexW2806116027

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.