Children's experiences of participating in a school-based health promotion parental support programme - a qualitative study

Universal healthy school start intervention reduced the body mass index of young children with obesity

AIM

To evaluate the effect of a universal, school-based family support programme on body mass index (BMI) of children aged 5-7 years, using pooled data from three trials.

METHODS

The programme has three to four components and is delivered during the first school year. It aims to promote healthy dietary and physical activity behaviours, and secondarily prevent unhealthy weight gain. Three cluster-randomised controlled trials were conducted between 2010 and 2018 in low and mixed socioeconomic status areas in Sweden. Weight and height were measured. Multiple mixed linear regression analysis was performed on the pooled data.

RESULTS

In total, 961 children were included (50% girls, mean age 6.3 years). The post-intervention effect on BMI z-score in all children was small, but in those with obesity at baseline, we observed a significant, clinically relevant, decrease in BMI z-score (-0.21). This was most pronounced in children with a non-Nordic born parent (-0.24). Five to six months after the intervention, decreases were no longer statistically significant.

CONCLUSION

The intervention resulted in changes in BMI comparable to obesity treatment programmes focusing on behaviour change. However, the effect attenuated with time suggesting the programme should be sustained and evaluated for a longer time.

Interventions to prevent obesity in children aged 5 to 11 years old

BACKGROUND

Prevention of obesity in children is an international public health priority given the prevalence of the condition (and its significant impact on health, development and well-being). Interventions that aim to prevent obesity involve behavioural change strategies that promote healthy eating or 'activity' levels (physical activity, sedentary behaviour and/or sleep) or both, and work by reducing energy intake and/or increasing energy expenditure, respectively. There is uncertainty over which approaches are more effective and numerous new studies have been published over the last five years, since the previous version of this Cochrane review.

OBJECTIVES

To assess the effects of interventions that aim to prevent obesity in children by modifying dietary intake or 'activity' levels, or a combination of both, on changes in BMI, zBMI score and serious adverse events.

SEARCH METHODS

We used standard, extensive Cochrane search methods. The latest search date was February 2023.

SELECTION CRITERIA

Randomised controlled trials in children (mean age 5 years and above but less than 12 years), comparing diet or 'activity' interventions (or both) to prevent obesity with no intervention, usual care, or with another eligible intervention, in any setting. Studies had to measure outcomes at a minimum of 12 weeks post baseline. We excluded interventions designed primarily to improve sporting performance.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods. Our outcomes were body mass index (BMI), zBMI score and serious adverse events, assessed at short- (12 weeks to < 9 months from baseline), medium- (9 months to < 15 months) and long-term (≥ 15 months) follow-up. We used GRADE to assess the certainty of the evidence for each outcome.

MAIN RESULTS

This review includes 172 studies (189,707 participants); 149 studies (160,267 participants) were included in meta-analyses. One hundred forty-six studies were based in high-income countries. The main setting for intervention delivery was schools (111 studies), followed by the community (15 studies), the home (eight studies) and a clinical setting (seven studies); one intervention was conducted by telehealth and 31 studies were conducted in more than one setting. Eighty-six interventions were implemented for less than nine months; the shortest was conducted over one visit and the longest over four years. Non-industry funding was declared by 132 studies; 24 studies were funded in part or wholly by industry. Dietary interventions versus control Dietary interventions, compared with control, may have little to no effect on BMI at short-term follow-up (mean difference (MD) 0, 95% confidence interval (CI) -0.10 to 0.10; 5 studies, 2107 participants; low-certainty evidence) and at medium-term follow-up (MD -0.01, 95% CI -0.15 to 0.12; 9 studies, 6815 participants; low-certainty evidence) or zBMI at long-term follow-up (MD -0.05, 95% CI -0.10 to 0.01; 7 studies, 5285 participants; low-certainty evidence). Dietary interventions, compared with control, probably have little to no effect on BMI at long-term follow-up (MD -0.17, 95% CI -0.48 to 0.13; 2 studies, 945 participants; moderate-certainty evidence) and zBMI at short- or medium-term follow-up (MD -0.06, 95% CI -0.13 to 0.01; 8 studies, 3695 participants; MD -0.04, 95% CI -0.10 to 0.02; 9 studies, 7048 participants; moderate-certainty evidence). Five studies (1913 participants; very low-certainty evidence) reported data on serious adverse events: one reported serious adverse events (e.g. allergy, behavioural problems and abdominal discomfort) that may have occurred as a result of the intervention; four reported no effect. Activity interventions versus control Activity interventions, compared with control, may have little to no effect on BMI and zBMI at short-term or long-term follow-up (BMI short-term: MD -0.02, 95% CI -0.17 to 0.13; 14 studies, 4069 participants; zBMI short-term: MD -0.02, 95% CI -0.07 to 0.02; 6 studies, 3580 participants; low-certainty evidence; BMI long-term: MD -0.07, 95% CI -0.24 to 0.10; 8 studies, 8302 participants; zBMI long-term: MD -0.02, 95% CI -0.09 to 0.04; 6 studies, 6940 participants; low-certainty evidence). Activity interventions likely result in a slight reduction of BMI and zBMI at medium-term follow-up (BMI: MD -0.11, 95% CI -0.18 to -0.05; 16 studies, 21,286 participants; zBMI: MD -0.05, 95% CI -0.09 to -0.02; 13 studies, 20,600 participants; moderate-certainty evidence). Eleven studies (21,278 participants; low-certainty evidence) reported data on serious adverse events; one study reported two minor ankle sprains and one study reported the incident rate of adverse events (e.g. musculoskeletal injuries) that may have occurred as a result of the intervention; nine studies reported no effect. Dietary and activity interventions versus control Dietary and activity interventions, compared with control, may result in a slight reduction in BMI and zBMI at short-term follow-up (BMI: MD -0.11, 95% CI -0.21 to -0.01; 27 studies, 16,066 participants; zBMI: MD -0.03, 95% CI -0.06 to 0.00; 26 studies, 12,784 participants; low-certainty evidence) and likely result in a reduction of BMI and zBMI at medium-term follow-up (BMI: MD -0.11, 95% CI -0.21 to 0.00; 21 studies, 17,547 participants; zBMI: MD -0.05, 95% CI -0.07 to -0.02; 24 studies, 20,998 participants; moderate-certainty evidence). Dietary and activity interventions compared with control may result in little to no difference in BMI and zBMI at long-term follow-up (BMI: MD 0.03, 95% CI -0.11 to 0.16; 16 studies, 22,098 participants; zBMI: MD -0.02, 95% CI -0.06 to 0.01; 22 studies, 23,594 participants; low-certainty evidence). Nineteen studies (27,882 participants; low-certainty evidence) reported data on serious adverse events: four studies reported occurrence of serious adverse events (e.g. injuries, low levels of extreme dieting behaviour); 15 studies reported no effect. Heterogeneity was apparent in the results for all outcomes at the three follow-up times, which could not be explained by the main setting of the interventions (school, home, school and home, other), country income status (high-income versus non-high-income), participants' socioeconomic status (low versus mixed) and duration of the intervention. Most studies excluded children with a mental or physical disability.

AUTHORS' CONCLUSIONS

The body of evidence in this review demonstrates that a range of school-based 'activity' interventions, alone or in combination with dietary interventions, may have a modest beneficial effect on obesity in childhood at short- and medium-term, but not at long-term follow-up. Dietary interventions alone may result in little to no difference. Limited evidence of low quality was identified on the effect of dietary and/or activity interventions on severe adverse events and health inequalities; exploratory analyses of these data suggest no meaningful impact. We identified a dearth of evidence for home and community-based settings (e.g. delivered through local youth groups), for children living with disabilities and indicators of health inequities.

Influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low socioeconomic status: a systematic review

BACKGROUND

Health inequity (HI) remains a major challenge in public health. Improving the health of children with low socioeconomic status (SES) can help to reduce overall HI in children. Childhood obesity is a global problem, entailing several adverse health effects. It is crucial to assess the influencing factors for adoption, implementation, and sustainment of interventions. This review aims to identify articles reporting about influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low SES. It aims to critically appraise the articles' quality, assess influencing factors, categorize and evaluate them, and to discuss possible implications.

METHODS

A systematic search was conducted in 7 databases with the following main inclusion criteria: (1) school-based interventions and (2) target group aged 5-14 years. The Consolidated Framework for Implementation Research, its five domains (intervention characteristics, inner setting, outer setting, characteristics of individuals, process) along with 39 categories within these domains were used as deductive category system for data analysis. We grouped the articles with regard to the characteristics of the interventions in simple and complex interventions. For each domain, and for the groups of simple and complex interventions, the most commonly reported influencing factors are identified.

RESULTS

In total, 8111 articles were screened, and 17 met all eligibility criteria. Included articles applied mixed methods (n=11), qualitative (n=5), and quantitative design (n=1). Of these, six were considered to report simple interventions and eleven were considered to report complex interventions. In total, 301 influencing factors were assessed. Aspects of the inner setting were reported in every study, aspects of the outer setting were the least reported domain. In the inner setting, most reported influencing factors were time (n=8), scheduling (n=6), and communication (n=6).

CONCLUSION

This review found a wide range of influencing factors for implementation and contributes to existing literature regarding health equity as well as implementation science. Including all stakeholders involved in the implementation process and assessing the most important influencing factors in the specific setting, could enhance implementation and intervention effectiveness. More empirical research and practical guidance are needed to promote obesity prevention behaviors among children with low SES.

REGISTRATION

CRD42021281209 (PROSPERO).

Parents' experiences of participating in the Healthy School Start Plus programme - a qualitative study

BACKGROUND

The rise in overweight and obesity among children is a global problem and effective prevention interventions are urgently required. Parents play an important role in children's lifestyle behaviours and body weight development and therefore there is a great need to investigate how to involve parents effectively in health promotion and prevention programmes. The aim of the study was to describe parents' experiences of barriers and facilitators of participating in the Healthy School Start Plus (HSSP) intervention study.

METHODS

HSSP is a parental support programme, conducted in Sweden, with the aim to promote a healthy diet, physical activity and preventing obesity in 5-7-year-old children starting school. In total 20 parents from 7 schools participated in semi-structured telephone-based interviews. The data was analysed using qualitative content analysis, with a deductive approach based on the Consolidated Framework for Implementation Research (CFIR).

RESULTS

Parental experiences of barriers and facilitators informing the implementation of the HSSP intervention were identified within all five domains of the CFIR. Two additional constructs, not included in the CFIR were identified: Social factors and Cooperation. The findings of parental experiences of barriers and facilitators related to the importance of (1) adaptation of the intervention to fit the abilities of the parents with different social and cultural backgrounds; (2) the need for continuous delivery of information related to healthy behaviours; (3) the commitment and efforts of the deliverers of the intervention; (4) the need for repetition of information related to healthy behaviours given by the deliverers of the intervention; (5) encouragement and facilitation of the involvement of the family and key people around them through the intervention activities and by the deliverers of the intervention; (6) awareness of unexpected impacts and social and cultural conditions complicating the execution of the intervention and; (7) cooperation and a well-functioning interaction between parents and school staff.

CONCLUSIONS

Barriers and facilitators indicated by the parents highlighted that interventions like the HSSP need to be adapted to fit the parents' abilities, with reminders, follow-ups and delivery of relevant information. Variations in social and cultural conditions need to be taken into consideration. The commitment of the school and the interaction between the school staff and the family as well as key people around them appears to be important.

TRIAL REGISTRATION

The Healthy School Start Plus trial was retrospectively registered in the International Standard Randomised Controlled Trial Number Registry on January 4, 2018 and available online at ClinicalTrials.gov: No. NCT03390725.

Evaluation of Parental Acceptability and Use of Intervention Components to Reduce Pre-School Children's Intake of Sugar-Rich Food and Drinks

Knowledge is needed about effective tools that reach public health objectives focused on reducing the intake of sugar-rich foods and drinks. The purpose of this study was to assess the parental acceptability, use and motivational potential of intervention components developed in the randomized family-based trial ‘Are you too sweet?’ aimed at reducing the intake of sugar-rich foods and drinks among children (5–7 y). Intervention components included guidance on sugar-rich foods and drinks at a school health nurse consultation, a box with home-use materials and a digital platform. The methods used were a questionnaire among intervention families (n = 83) and semi-structured interviews with parents in selected intervention families (n = 24). Results showed the good acceptability and usefulness of the components, with reported frequencies of use of materials ranging from 48% to 94% and a high satisfaction rate with the school health nurse consultation. Personalized feedback and guidance from the school health nurse seemed to be a motivational trigger, and components that were compatible with existing practices were most frequently used. However, the components were not considered engaging by all families. Overall, intervention components were well received and hold the potential for enhancing parental knowledge and parenting practices regarding limiting the intake of sugar-rich foods and drinks.