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Record W2588289828 · doi:10.1111/jpc.13475

The World Health Organization Health Promoting School framework is important for some child health outcomes

2017· article· en· W2588289828 on OpenAlexaboutno aff
Kirsten Furley

Bibliographic record

VenueJournal of Paediatrics and Child Health · 2017
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineChild healthEnvironmental healthFamily medicine

Abstract

fetched live from OpenAlex

The WHO Health Promoting School framework for improving the health and well-being of students and their academic achievement.1 Rebecca Langford, Christopher Bonell, Hayley Jones, Rona Campbell, Simon Murphy, Elizabeth Waters, Kelli A. Komro, Lisa Gibbs, Daniel Magnus and Rona Campbell Online Publication Date: April 2014. http://www.cochrane.org/CD008958/BEHAV_the-who-health-promoting-school-framework-for-improving-the-health-and-well-being-of-students-and-their-academic-achievement The effectiveness of school-based interventions designed to improve child health outcomes across a wide range of health and well-being issues and academic achievement. Interventions included in this review specifically relate to the Health Promoting Schools (HPS) framework as per the World Health Organization values set out in the Ottawa Charter (WHO 1986) community. Interventions that include all aspects of the HPS programme have been shown to reduce body mass index (BMI), increase physical activity, increase fruit and vegetable consumption, and reduce reports of bullying and reduce tobacco use. However, findings were not consistent for BMI reduction when BMI was standardised by age and gender, and tobacco use was decreased by a wide range of intervention types. Anti-bullying interventions showed an average reduction of 17% for reports of being bullied, but heterogeneity was substantial. There was no evidence of effect for interventions to reduce fat intake, alcohol or drug use or violent behaviours or to reduce depression or bullying of others. There was insufficient data about the effectiveness of interventions relating to sexual health, hand-washing, accident prevention, body image, sun safety or oral health. Very few studies reported academic performance or school attendance outcomes. This systematic review included 67 cluster randomised trials identified by searching 20 health, education and social science databases. Only studies with cluster design at the school, district or other geographical area were included. The 67 trials included 1345 schools and 98 districts and were conducted in high (59), upper middle (5), lower middle (2) and lower (1) income countries (determined by the World Bank's economic classification). More than half the studies were from North America. The duration of intervention and age of participants tended to vary by type of intervention. For example, physical activity and nutrition studies focused on younger children, with interventions typically lasting less than 12 months, and mental health initiatives focused on adolescents and tended to be of longer duration. All interventions had to address the three points in the HPS framework: (i) health education; (ii) changing the social or physical environment of the educational institution; and (iii) involving students’ families or the local community. This meant that studies which did not explicitly refer to HPS could still be included. Control schools were those that did not implement all three aspects of the HPS framework. A broad range of health outcomes were identified and categorised into the following health topic areas; obesity/overweight/BMI, physical activity/sedentary behaviours, nutrition, tobacco use, alcohol use, other drug use, sexual health, mental health/emotional well-being, violence, bullying, infectious diseases, safety/accident prevention, body image/eating disorders, skin/sun safety and oral health. Academic outcomes, categorised as student standardised academic test scores, intelligence quotient or other validated scales, and school academic performance, were also studied. Few studies reported data on adverse effects of intervention and few assessed socioeconomic status, gender and, or ethnicity. Only 10 studies measured the impact of HPS interventions on academic outcomes, and cost effectiveness was only reported in two studies. Studies were assessed for bias and quality using the GRADE system. Risk of bias was high for blinding, due to the cluster randomised methods used, and also high or unclear for most studies because of incomplete outcome data, insufficient or missing data, and selective reporting. The quality of evidence was low to moderate for most outcomes due to bias or unexplained heterogeneity. Only 37 studies reported sample size calculations. Although there was a difference in BMI (Fig. 1), there was no difference for zBMI (standardised BMI) for physical activity plus nutrition interventions, or for interventions addressing nutrition alone. The effectiveness of different approaches to reducing tobacco smoking is shown in Figure 2. Obesity and tobacco use can be difficult to change using traditional individualised health care approaches.2, 3 Bullying and being bullied are known to have longer term physical and mental health associations.4 A partnership between health and education is warranted, makes sense and is necessary if we are to make decisions about implementing the best of these approaches to optimise positive outcomes. Connecting health and education through the universal platform of schools offers important opportunities to improve child health, well-being and academic performance concurrently, noting they are often intrinsically linked. HPS is a well-established and sound public health approach to addressing health outcomes within an education environment. In 1997, the Australian federal government commissioned the Australian Health Promoting Schools Association (AHPSA) to develop a national framework for HPS.5 Today there are well-established state associations, as well as the national body. AHPSA has recently partnered with the Australian Council for Health, Physical Education and Recreation to further promote the opportunities for improving health outcomes in schools and communities.6 In 2010, The Ministry of Health in New Zealand commissioned a National Strategic Framework ‘Cognition’ to support HPS, and in 2009, 67% of schools were part of the HPS programme.7 There are many examples of current HPS programmes in Australia and New Zealand, including the Achievement Program, which is part of ‘Healthy Together Victoria’ launched in 2012, which involves over 3000 early childhood, school and workplaces.8 Nevertheless, certainty about the effectiveness of the HPS framework interventions remains limited. The GRADE assessments found the overall quality of evidence from the included trials in this review was low to moderate, heterogeneity was high, and the settings, interventions and outcomes varied. Although statistically significant, the clinical significance of short-term changes in health outcomes is questioned appropriately, when post-intervention follow-up is lacking in the majority of interventions. Despite school enthusiasm and policy receptivity to HPS, well-designed trials are still needed, particularly in low- to middle-income countries. These could be augmented with attention to detail regarding cultural, political and social contexts as well as longer term follow-up of HPS framed interventions; all necessary to determine sustainability of health effects. These more robust approaches together with economic evaluations are needed to sustain the advocacy efforts necessary to maintain programme funding. Ideally programmes would also be adapted to context through iterative improvements that enable data to guide implementation for best effect. HPS also provides opportunities for health professionals to legitimately engage with schools in their own areas and assist local implementation focusing on issues of health equity known for high-risk groups, and assisting with outcome monitoring and planning. Bringing universal health and education approaches together makes good sense. This review suggests that improving outcomes seems possible; that should be the imperative to stimulate further rigorous research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.565
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0220.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.432
Teacher spread0.397 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations13
Published2017
Admission routes1
Has abstractyes

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