Cost-utility and cost-benefit analyses of school-based obesity prevention program

The Return on Investment for the Prevention and Treatment of Childhood and Adolescent Overweight and Obesity in Beijing: A Modeling Study

Background: The increasing prevalence of child and adolescent overweight and obesity (CAOAO) in Beijing poses significant health and economic challenges. This study assesses the potential health and economic outcomes of implementing specific interventions to address CAOAO in Beijing. Methods: A deterministic Markov cohort model was used to estimate the impact of five interventions from 2025 to 2115: restrictions on unhealthy food marketing to children, mandatory front of package labeling (FOPL), family-based nutrition and exercise education, school-based nutritional health education, and nutritional counseling in primary healthcare. The model evaluated societal costs, healthcare savings, wages, and economic productivity in adulthood, calculating the return on investment (ROI) for each intervention and their combined effect. Result: Without intervention, Beijing is projected to experience a loss of 13.4 million disability-adjusted life years (DALYs) due to CAOAO. The health and economic impact of childhood obesity in Beijing is projected to be CNY 14.6 trillion (USD 2.1 trillion), or a lifetime loss of CNY 6.8 million (USD 0.96 million) per affected child, exceeding the sum of Beijing's GDP from 2021 to 2023. Restrictions on unhealthy food marketing to children and nutrition counseling in primary healthcare are projected to yield the highest returns, with benefits accruing within one year of implementation. Owing to the substantial upfront costs, including personnel, materials, and training, school-based and family-based interventions require a longer time horizon to realize significant health and economic benefits. Conclusions: Effective management of CAOAO in Beijing demands a multifaceted approach. The combination of restrictions on unhealthy food marketing to children, mandatory front of package labeling, nutrition counseling in primary healthcare, school-based intervention, and family-based intervention presents the most substantial health and economic returns. This comprehensive strategy aligns with global best practices and addresses the unique challenges faced by Beijing in combating childhood obesity.

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.

The cost-effectiveness of school-based interventions for chronic diseases: a systematic review

BACKGROUND

Chronic diseases, or non-communicable diseases (NCD), are conditions of long duration and often influenced and contributed by complex interactions of several variables, including genetic, physiological, environmental, and behavioral factors. These conditions contribute to death, disability, and subsequent health care costs. Primary and secondary school settings provide an opportunity to deliver relatively low cost and effective interventions to improve public health outcomes. However, there lacks systematic evidence on the cost-effectiveness of these interventions.

METHODS

We systematically searched four databases (PubMed/Medline, Cochrane, Embase, and Web of Science) for published studies on the cost-effectiveness of chronic-disease interventions in school settings. Studies were eligible for inclusion if they assessed interventions of any chronic or non-communicable disease, were conducted in a school setting, undertook a full cost-effectiveness analysis and were available in English, Spanish, or French.

RESULTS

Our review identified 1029 articles during our initial search of the databases, and after screening, 33 studies were included in our final analysis. The most used effectiveness outcome measures were summary effectiveness units such as quality-adjusted life years (QALYs) (22 articles; 67%) or disability-adjusted life years (DALYs) (4 articles; 12%). The most common health condition for which an intervention targets is overweight and obesity. Almost all school-based interventions were found to be cost-effective (30 articles; 81%).

CONCLUSION

Our review found evidence to support a number of cost-effective school-based interventions targeting NCDs focused on vaccination, routine physical activity, and supplement delivery interventions. Conversely, many classroom-based cognitive behavioral therapy for mental health and certain multi-component interventions for obesity were not found to be cost-effective.

Economic evaluation of a school-based strategy to prevent overweight and obesity in French adolescents: insights from the PRALIMAP randomised trial

OBJECTIVES

This study aimed to provide cost-effectiveness and budget impact analyses of a school-based overweight/obesity screening and care prevention strategy among adolescents.

STUDY DESIGN

Cost-effectiveness and budget impact analyses.

METHODS

Data from 3538 adolescents who participated in a school-based randomised controlled trial in the Northeast of France were used. Costs (from a public payer's perspective) included screening for overweight and obesity and subsequent care. Effectiveness was measured as the change in body mass index (kilogram per square metre), prevalence of overweight/obesity, moderate physical activity energy expenditure, duration and frequency and total sitting time. The incremental cost-effectiveness ratio was calculated, and a budget impact analysis was conducted.

RESULTS

The screening and care strategy resulted in an incremental cost-effectiveness ratio of €1634.48 per averted case of overweight/obesity and €255.43 per body mass index unit decrease. The costs for increasing moderate physical activity by 1000 metabolic equivalent of task-min/week, duration by 60 min/week and frequency 1 day/week were €165.28, €39.21 and €93.66 per adolescent, respectively. Decreasing total sitting time by 60 min/week had a cost of €8.49 per adolescent. The cost of implementing the strategy nationally was estimated to be €50.1 million with a payback period from 3.6 to 7.3 years.

CONCLUSIONS

The screening and care strategy could be an efficient way to prevent overweight and obesity among adolescents. Future studies should investigate how the current results could be achieved in schools with different settings and thus justify its relevance for overweight and obesity prevention to policy-makers.

Environment modification at school to promote physical activity among adolescents: a cluster randomized controlled trial

OBJECTIVE

To assess the effect of modifications of the school environment on physical activity in Brazilian adolescent students.

METHODS

Seven public schools in Duque de Caxias (Brazil) were randomized into control and intervention groups. The intervention group underwent modifications in the school environment (painting of hopscotch and school courts) and the provision of sports equipment (balls, basketball table, soccer goalpost, volleyball nets, and others) to stimulate physical activity. Additionally, footsteps towards the court and materials were painted, and a superhero character called Super Active was introduced. Total physical activity was measured using a validated questionnaire for adolescents. Generalized linear models were used to evaluate the effect of the intervention, adjusted by sex.

RESULTS

The sample consisted of 975 adolescents, with a mean age of 11.52 years (standard deviation - SD 1.43), and 56.7% were boys. After the one-month intervention, both groups' total physical activity time increased. The estimated changes from baseline were not different between the intervention and control groups (Δ=102.75 and Δ=99.76, respectively; p=0.52).

CONCLUSION

The painting, supply of equipment and other strategies to encourage physical activity in the school environment did not promote a positive effect on improving physical activity among adolescents. Future research is necessary to evaluate the effect of the intervention in the long-term period, particularly in other population contexts in middle-income countries.

Health Economic Aspects of Childhood Excess Weight: A Structured Review

An economic perspective is crucial to understand the broad consequences of childhood excess weight (CEW). These can manifest in the form of elevated health care and societal costs, impaired health status, or inefficiencies in the allocation of resources targeted at its prevention, management, or treatment. Although existing systematic reviews provide summaries of distinct economic research strands covering CEW, they have a restricted focus that overlooks relevant evidence. The overarching aim of this structured review was to update and enhance recent key reviews of four strands of economic evidence in this area, namely, (1) economic costs associated with CEW, (2) health utilities associated with CEW, (3) economic evaluations of interventions targeting CEW, and (4) economic determinants and broader consequences of CEW. Our de novo searches identified six additional studies for the first research strand, five studies for the second, thirty-one for the third, and two for the fourth. Most studies were conducted in a small number of high-income countries. Our review highlights knowledge gaps across all the research strands. Evidence from this structured review can act as data input into future economic evaluations in this area and highlights areas where future economic research should be targeted.

Health state utilities associated with weight loss in type 2 diabetes and obesity

INTRODUCTION

Health state utilities associated with weight change are needed as inputs for cost-utility analyses (CUAs) examining the value of treatments for obesity and type 2 diabetes (T2D). Although some pharmaceutical treatments currently in development are associated with substantial weight loss, little is known about the utility impact of weight decreases greater than 10%. The purpose of this study was to estimate utilities associated with body weight decreases up to 20% based on preferences of individuals with obesity, with and without T2D.

METHODS

Health state vignettes were developed to represent respondents' own current weight and weight decreases of 2.5, 5, 10, 15, and 20%. Health state utilities were elicited in time trade-off interviews in two UK locations (Edinburgh and London) with a sample of participants with obesity, with and without T2D. Mean utility increases associated with each amount of weight decrease were calculated. Regression analyses were performed to derive a method for estimating utility change associated with weight decreases.

RESULTS

Analyses were conducted with data from 405 individuals with obesity (202 with T2D, 203 without T2D). Utility increases associated with various levels of weight decrease ranged from 0.011 to 0.060 in the subgroup with T2D and 0.015 to 0.077 in the subgroup without T2D. All regression models found that the percentage of weight decrease was a highly significant predictor of change in utility (p < .0001). The relationship between weight change and utility change did not appear to be linear. Equations are recommended for estimating utility change based on the natural logarithm of percentage of weight decrease.

DISCUSSION

Results of this study may be used to provide inputs for CUAs examining and comparing the value of treatments that are associated with substantial amounts of weight loss in patients with obesity, with or without T2D.

Cost and Cost Effectiveness of a Pilot m-Health Intervention Targeting Parents of School-Aged Children to Improve the Nutritional Quality of Foods Packed in the Lunchbox

The SWAP IT program aims to improve the nutritional quality of school lunchboxes via a multicomponent m-health intervention, involving: weekly support messages to parents; physical resources; school nutrition guidelines and lunchbox lessons. SWAP IT has been reported to be effective. This study aims to determine the cost and cost effectiveness of the SWAP IT m-health intervention. The retrospective trial-based economic evaluation was conducted in 12 Catholic primary schools in New South Wales, Australia. Schools were randomised to intervention or usual care. The costs (AUD, 2019) were evaluated from societal perspectives. The direct cost to uptake the intervention and the incremental cost-effectiveness ratios (ICER) were calculated. ICERS were calculated for two outcomes: reduction in total kJ and reduction in discretionary kJ from the lunchbox. The total cost was calculated to be AUD 55, 467. The mean incremental cost per student to receive the intervention was calculated to be AUD 31/student. The cost per reduction in total lunchbox energy was AUD 0.54. The ICER for the reduction in energy from discretionary foods in the lunchbox was AUD 0.24. These findings suggest that this m-health intervention has potential to be cost effective in reducing the kilojoules from discretionary foods packed in school lunchboxes.