Reduction In Prevalence Of Obesity Research Articles

Cost-effectiveness of a primary care-based Healthy Weight Clinic compared with usual care.

The objective of this study was to project the cost-effectiveness of implementing the Healthy Weight Clinic (HWC), a primary care-based intervention for 6- to 12-year-old children with overweight or obesity, at federally qualified health centers (FQHCs) nationally. We estimated intervention costs from a health care sector and societal perspective and used BMI change estimates from the HWC trial. Our microsimulation of national HWC implementation among all FQHCs from 2023 to 2032 estimated cost per child and per quality-adjusted life year (QALY) gained and projected impact on obesity prevalence by race and ethnicity. Probabilistic sensitivity analyses assessed uncertainty around estimates. National implementation is projected to reach 888,000 children over 10 years, with a mean intervention cost of $456 (95% uncertainty interval [UI]: $409-$506) per child to the health care sector and $211 (95% UI: $175-$251) to families (e.g., time participating). Assuming effect maintenance, national implementation could result in 2070 (95% UI: 859-3220) QALYs gained and save $14.6 million (95% UI: $5.6-$23.5 million) in health care costs over 10 years, yielding a net cost of $278,000 (95% CI: $177,000-$679,000) per QALY gained. We project greater reductions in obesity prevalence among Hispanic/Latino and Black versus White populations. The HWC is relatively low-cost per child and projected to reduce obesity disparities if implemented nationally in FQHCs.

Estimated reduction in obesity prevalence and costs of a 20% and 30% ad valorem excise tax to sugar-sweetened beverages in Brazil: A modeling study.

The consumption of sugar-sweetened beverages (SSBs) is associated with obesity, metabolic diseases, and incremental healthcare costs. Given their health consequences, the World Health Organization (WHO) recommended that countries implement taxes on SSB. Over the last 10 years, obesity prevalence has almost doubled in Brazil, yet, in 2016, the Brazilian government cut the existing federal SSB taxes to their current 4%. Since 2022, a bill to impose a 20% tax on SSB has been under discussion in the Brazilian Senate. To simulate the potential impact of increasing taxes on SSB in Brazil, we aimed to estimate the price-elasticity of SSB and the potential impact of a new 20% or 30% excise SSB tax on consumption, obesity prevalence, and cost savings. Using household purchases data from the Brazilian Household Budget Survey (POF) from 2017/2018, we estimated constant elasticity regressions. We used a log-log specification by income level for all beverage categories: (1) sugar-sweetened beverages; (2) alcoholic beverages; (3) unsweetened beverages; and (4) low-calorie or artificially sweetened beverages. We estimated the adult nationwide baseline intake for each beverage category using 24-h dietary recall data collected in 2017/2018. Taking group one as the taxed beverages, we applied the price and cross-price elasticities to the baseline intake data, we obtained changes in caloric intake. The caloric reduction was introduced into an individual dynamic model to estimate changes in weight and obesity prevalence. No benefits on cost savings were modeled during the first 3 years of intervention to account for the time lag in obesity cases to reduce costs. We multiplied the reduction in obesity cases during 7 years by the obesity costs per capita to predict the costs savings attributable to the sweetened beverage tax. SSB price elasticities were higher among the lowest tertile of income (-1.24) than in the highest income tertile (-1.13), and cross-price elasticities suggest SSB were weakly substituted by milk, water, and 100% fruit juices. We estimated a caloric change of -17.3 kcal/day/person under a 20% excise tax and -25.9 kcal/day/person under a 30% tax. Ten years after implementation, a 20% tax is expected to reduce obesity prevalence by 6.7%; 9.1% for a 30% tax. These reductions translate into a -2.8 million and -3.8 million obesity cases for a 20% and 30% tax, respectively, and a reduction of $US 13.3 billion and $US 17.9 billion in obesity costs over 10 years for a 20% and 30% tax, respectively. Study limitations include using a quantile distribution method to adjust self-reported baseline weight and height, which could be insufficient to correct for reporting bias; also, weight, height, and physical activity were assumed to be steady over time. Adding a 20% to 30% excise tax on top of Brazil's current federal tax could help to reduce the consumption of ultra-processed beverages, empty calories, and body weight while avoiding large health-related costs. Given the recent cuts to SSB taxes in Brazil, a program to revise and implement excise taxes could prove beneficial for the Brazilian population.

Role of walkability, bike infrastructure, and greenspace in combatting chronic diseases: A heterogeneous ecological analysis in the United States

Associations of built and natural environment and bike infrastructure features with neighborhood-level hypertension and obesity prevalence across the U.S. are not well explored. Identifying the environmental determinants of neighborhood-level disease prevalence can support community-based nonpharmacologic interventions. Additionally, little is known about the extent of heterogeneity in built and natural environment impacts. Quantifying heterogeneity can help identify places where the greatest health gains can be obtained from infrastructural investments. Using a new neighborhood-level database, we assessed heterogeneous associations of neighborhood built and natural environment and bike infrastructure features with nationwide hypertension and obesity rates using a simultaneous quantile regression framework. A walkability index, access to green space, and bicycle infrastructure were negatively correlated with hypertension and obesity after controlling for social vulnerability. The associations of key environmental and bike infrastructure factors exhibited considerable heterogeneity. For a unit increase in the walkability index, the potential reduction in hypertension prevalence at the 10th percentile was 3.4 times the reduction at the 95th percentile. Likewise, the potential reduction in obesity prevalence at the 10th percentile was 1.8 times the reduction at the 95th percentile. Provision of on-street and off-street bike lanes was correlated with lower hypertension and obesity, although the impacts varied across the quantiles of health outcomes. Urban design policies promoting walkability, providing on-street and off-street bicycle facilities, and enhancing greenspace can be important strategies to combat hypertension and obesity. Our study underscores the importance of incorporating environmental features into future iterations of national disease prevalence data programs in the U.S.

Effect of calorie labelling in the out-of-home food sector on adult obesity prevalence, cardiovascular mortality, and social inequalities in England: a modelling study

England implemented a menu calorie labelling policy in large, out-of-home food businesses in 2022. We aimed to model the likely policy impact on population-level obesity and cardiovascular disease mortality, as well as the socioeconomic equity of estimated effects, in the adult population in England. For this modelling analysis, we built a comparative assessment model using two scenarios: the current implementation scenario refers to actual deployment only in large (≥250 employees), out-of-home food businesses, whereas the full implementation scenario refers to deployment in every out-of-home food business. We compared each scenario with a counterfactual: the scenario in which no intervention is implemented (ie, baseline). For both scenarios, we modelled the impact of the policy through assumed changes in energy intake due to either consumer response or product reformulation by retailers. We used data from the Office for National Statistics and the National Diet and Nutrition Survey 2009-19, and modelled the effect over 20 years (ie, 2022-41) to capture the long-term impact of the policy and provided mid-period results after 10 years. We used the Monte Carlo approach (2500 iterations) to estimate the uncertainty of model parameters. For each scenario, the model generated the change in obesity prevalence and the total number of deaths prevented or postponed. The current implementation scenario was estimated to reduce obesity prevalence by 0·31 percentage points (absolute; 95% uncertainty interval [UI] 0·10-0·35), which would prevent or postpone 730 cardiovascular disease deaths (UI 430-1300) of the 830 000 deaths (UI 600 000-1 200 000) expected over 20 years. However, the health benefits would be increased if calorie labelling was implemented in all out-of-home food businesses (2·65 percentage points reduction in obesity prevalence [UI 1·97-3·24] and 9200 cardiovascular disease deaths prevented or postponed [UI 5500-16 000]). Results were similar in the most and the least deprived socioeconomic groups. This study offers the first modelled estimation of the impact of the menu calorie labelling regulation on the adult population in England, although we did not include a cost-effectiveness analysis. Calorie labelling might result in a reduction in obesity prevalence and cardiovascular disease mortality without widening health inequalities. However, our results emphasise the need for the government to be more ambitious by applying this policy to all out-of-home food businesses to maximise impact. European Research Council.

Assessing the Fiscal Burden of Obesity in Canada by Applying a Public Economic Framework.

Rising obesity prevalence is a health priority for many governments because of its impact on population health and economic consequences. We sought to estimate the broader consequences of obesity in Canada by applying a government perspective framework that captures lost tax revenues and increased government spending on social benefit programs. An age-specific prevalence-based model was built to quantify the fiscal burden of disease for government attributed to people living with obesity. The model was populated with age-specific wages, employment activity and government benefits received to estimate taxes and transfer costs. A targeted literature search was conducted to identify modifiers of employment status, wages and disability status attributed to people with obesity, and applied to employment and epidemiological projections which enabled us to estimate government costs and tax losses. Government tax revenue and costs attributed to obesity were projected over a 10-year period and discounted at 3%. The fiscal burden of obesity in Canada is estimated at CAD$22,974 million (2021). This figure consists of obesity-attributed revenue losses of CAD$9404 million from direct taxes due to decreased employment activity and CAD$2374 million from indirect tax revenue losses due to reduced consumption taxes. Healthcare costs are estimated at CAD$7881 million annually and disability costs of CAD$3686 million annually. This fiscal burden of disease distributed amongst taxpayers in 2021 is estimated to be CAD$752 per capita. We estimate for every 1% reduction in obesity prevalence, CAD$229.7 million net fiscal gains can be achieved annually. Obesity is associated with substantial clinical and economic burden not only to the healthcare system but also to wider government budgets as demonstrated using fiscal analysis. Reductions in obesity prevalence are likely to have positive fiscal gains for government from reduced spending on public benefits and increased tax revenue attributed to employment changes.

A Sugar-Sweetened Beverage Excise Tax in California: Projected Benefits for Population Obesity and Health Equity

Amid the successes of local sugar-sweetened beverage (SSB) taxes, interest in state-wide policies has grown. This study evaluated the cost effectiveness of a hypothetical 2-cent-per-ounce excise tax in California and its implications for population health and health equity. Using the Childhood Obesity Intervention Cost-Effectiveness Study microsimulation model, tax impacts on health, health equity, and cost effectiveness over 10 years in California were projected, both overall and stratified by race/ethnicity and income. Expanding on previous models, differences in the effect of intake of SSBs on weight by BMI category were incorporated. Costing was performed in 2020, and analyses were conducted in 2021-2022. The tax is projected to save $4.55 billion in healthcare costs, prevent 266,000 obesity cases in 2032, and gain 114,000 quality-adjusted life years. Cost-effectiveness metrics, including cost/quality-adjusted life year gained, were cost saving. Spending on SSBs was projected to decrease by $33 per adult and $26 per child overall in the first year. Reductions in obesity prevalence for Black and Hispanic Californians were 1.8 times larger than for White Californians, and reductions for adults with lowest incomes (<130% Federal Poverty Level) were 1.4 times the reduction among those with highest incomes (>350% Federal Poverty Level). The tax is projected to save $112 in obesity-related healthcare costs per $1 invested. A state-wide SSB tax in California would be cost saving, lead to reductions in obesity and improvement in SSB-related health equity, and lead to overall improvements in population health. The policy would generate more than $1.6 billion in state tax revenue annually that can also be used to improve health equity.

Associations between trajectories of obesity prevalence in English primary school children and the UK soft drinks industry levy: An interrupted time series analysis of surveillance data.

Sugar-sweetened beverages (SSBs) are the primary source of dietary added sugars in children, with high consumption commonly observed in more deprived areas where obesity prevalence is also highest. Associations between SSB consumption and obesity in children have been widely reported. In March 2016, a two-tier soft drinks industry levy (SDIL) on drinks manufacturers to encourage reformulation of SSBs in the United Kingdom was announced and then implemented in April 2018. We examined trajectories in the prevalence of obesity at ages 4 to 5 years and 10 to 11 years, 19 months after the implementation of SDIL, overall and by sex and deprivation. Data were from the National Child Measurement Programme and included annual repeat cross-sectional measurement of over 1 million children in reception (4 to 5 years old) and year 6 (10 to 11 years old) in state-maintained English primary schools. Interrupted time series (ITS) analysis of monthly obesity prevalence data from September 2013 to November 2019 was used to estimate absolute and relative changes in obesity prevalence compared to a counterfactual (adjusted for temporal variations in obesity prevalence) estimated from the trend prior to SDIL announcement. Differences between observed and counterfactual estimates were examined in November 2019 by age (reception or year 6) and additionally by sex and deprivation quintile. In year 6 girls, there was an overall absolute reduction in obesity prevalence (defined as >95th centile on the UK90 growth charts) of 1.6 percentage points (PPs) (95% confidence interval (CI): 1.1, 2.1), with greatest reductions in the two most deprived quintiles (e.g., there was an absolute reduction of 2.4 PP (95% CI: 1.6, 3.2) in prevalence of obesity in the most deprived quintile). In year 6 boys, there was no change in obesity prevalence, except in the least deprived quintile where there was a 1.6-PP (95% CI: 0.7, 2.5) absolute increase. In reception children, relative to the counterfactual, there were no overall changes in obesity prevalence in boys (0.5 PP (95% CI: 1.0, -0.1)) or girls (0.2 PP (95% CI: 0.8, -0.3)). This study is limited by use of index of multiple deprivation of the school attended to assess individual socioeconomic disadvantage. ITS analyses are vulnerable to unidentified cointerventions and time-varying confounding, neither of which we can rule out. Our results suggest that the SDIL was associated with decreased prevalence of obesity in year 6 girls, with the greatest differences in those living in the most deprived areas. Additional strategies beyond SSB taxation will be needed to reduce obesity prevalence overall, and particularly in older boys and younger children. ISRCTN18042742.

Design for a cluster randomized controlled trial to evaluate the effects of the CATCH Healthy Smiles school-based oral health promotion intervention among elementary school children

BackgroundThe top two oral diseases (tooth decay and gum disease) are preventable, yet dental caries is the most common childhood disease with 68% of children entering kindergarten having tooth decay. CATCH Healthy Smiles is a coordinated school health program to prevent cavities for students in kindergarten, 1st, and 2nd grade, and is based on the framework of Coordinated Approach to Child Health (CATCH), an evidence-based coordinated school health program. CATCH has undergone several cluster-randomized controlled trials (CRCT) demonstrating sustainable long-term effectiveness in incorporating the factors surrounding children, in improving eating and physical activity behaviors, and reductions in obesity prevalence among low-income, ethnically diverse children. The aim of this paper is to describe the design of the CATCH Healthy Smiles CRCT to determine the effectiveness of an oral health school-based behavioral intervention in reducing incidence of dental caries among children. MethodsIn this CRCT, 30 schools serving low-income, ethnically-diverse children in greater Houston area are recruited and randomized into intervention and comparison groups. From which, 1020 kindergarten children (n = 510 children from 15 schools for each group) will be recruited and followed through 2nd grade. The intervention consists of four components (classroom curriculum, toothbrushing routine, family outreach, and schoolwide coordinated activities) will be implemented for three years in the intervention schools, whereas the control schools will be offered free trainings and materials to implement a sun safety curriculum in the meantime. Outcome evaluation will be conducted at four time points throughout the study period, each consists of three components: dental assessment, child anthropometric measures, and parent survey. The dental assessment will use International Caries Detection and Assessment System (ICDAS) to measures the primary outcome of this study: incidence of dental caries in primary teeth as measured at the tooth surface level (dfs). The parent self-report survey measures secondary outcomes of this study, such as oral health related behavioral and psychosocial factors. A modified crude caries increment (mCCI) will be used to calculate the primary outcome of the CATCH Healthy Smiles CRCT, and a two-tailed test of the null hypothesis will be conducted to evaluate the intervention effect, while considering between- and within-cluster variances through computing the weighted-average of the mCCI ratios by cluster. ConclusionIf found to be effective, a platform for scalability, sustainability and dissemination of CATCH already exists, and opens a new line of research in school oral health. Clinical trials identifierAt ClinicalTrials.gov - NCT04632667.

The Impact of a Place-Tailored Digital Health App Promoting Exercise Classes on African American Women's Physical Activity and Obesity: Simulation Study.

BackgroundThe increasing prevalence of smartphone apps to help people find different services raises the question of whether apps to help people find physical activity (PA) locations would help better prevent and control having overweight or obesity.ObjectiveThe aim of this paper is to determine and quantify the potential impact of a digital health intervention for African American women prior to allocating financial resources toward implementation.MethodsWe developed our Virtual Population Obesity Prevention, agent-based model of Washington, DC, to simulate the impact of a place-tailored digital health app that provides information about free recreation center classes on PA, BMI, and overweight and obesity prevalence among African American women.ResultsWhen the app is introduced at the beginning of the simulation, with app engagement at 25% (eg, 25% [41,839/167,356] of women aware of the app; 25% [10,460/41,839] of those aware downloading the app; and 25% [2615/10,460] of those who download it receiving regular push notifications), and a 25% (25/100) baseline probability to exercise (eg, without the app), there are no statistically significant increases in PA levels or decreases in BMI or obesity prevalence over 5 years across the population. When 50% (83,678/167,356) of women are aware of the app; 58.23% (48,725/83,678) of those who are aware download it; and 55% (26,799/48,725) of those who download it receive regular push notifications, in line with existing studies on app usage, introducing the app on average increases PA and decreases weight or obesity prevalence, though the changes are not statistically significant. When app engagement increased to 75% (125,517/167,356) of women who were aware, 75% (94,138/125,517) of those who were aware downloading it, and 75% (70,603/94,138) of those who downloaded it opting into the app’s push notifications, there were statistically significant changes in PA participation, minutes of PA and obesity prevalence.ConclusionsOur study shows that a digital health app that helps identify recreation center classes does not result in substantive population-wide health effects at lower levels of app engagement. For the app to result in statistically significant increases in PA and reductions in obesity prevalence over 5 years, there needs to be at least 75% (125,517/167,356) of women aware of the app, 75% (94,138/125,517) of those aware of the app download it, and 75% (70,603/94,138) of those who download it opt into push notifications. Nevertheless, the app cannot fully overcome lack of access to recreation centers; therefore, public health administrators as well as parks and recreation agencies might consider incorporating this type of technology into multilevel interventions that also target the built environment and other social determinants of health.

Children’s Health Capital Investment: Effects of U.S. Infant Breastfeeding on Teenage Obesity

Obesity, as a health and social problem with rising prevalence and soaring economic cost, is increasingly drawing scholarly and public policy attention. While many studies have suggested that infant breastfeeding protects against childhood obesity, empirical evidence on this causal relationship is fragile. Using the health capital development theory, this study exploited multiple data sources from the U.S. and a three-way error components model (ECM) with a jackknife resampling plan to estimate the effect of in-hospital breastfeeding initiation and breastfeeding for durations of 3, 6, and 12 months on the prevalence of obesity during teenage years. The main finding was that a 1% rise in the in-hospital breastfeeding initiation rate reduces the teenage obesity prevalence rate by 1.7% (9.6% of a standard deviation). The magnitude of this effect declines as the infant breastfeeding duration lengthens—e.g., the 12-month infant breastfeeding duration rate is associated with a 0.53% (3.7% of a standard deviation) reduction in obesity prevalence in the teenage years (9th to 12th grades). The study findings agree with both the behavioral and physiological theories on the long-term effects of breastfeeding, and have timely implications for public policies promoting infant breastfeeding to reduce the economic burden of teenage and later adult-stage obesity prevalence rates.

Identifying the views of adolescents in five European countries on the drivers of obesity using group model building.

BackgroundTo make effective progress towards a global reduction in obesity prevalence, there needs to be a focus on broader structural factors, beyond individual-level drivers of diet and physical activity. This article describes the use of a systems framework to develop obesity prevention policies with adolescents. The aim of this research was to use the group model building (GMB) method to identify young people’s perceptions of the drivers of adolescent obesity in five European countries, as part of the EU-funded Co-Create project.MethodsWe used GMB with four groups of 16–18-year-olds in schools in each of the five European countries (The Netherlands, Norway, Poland, Portugal and the UK) to create causal loop diagrams (CLDs) representing their perceptions of the drivers of adolescent obesity. The maps were then merged into one, using a new protocol.ResultsTwo hundred and fifty-seven participants, aged 16–18 years, engaged in 20 separate system mapping groups, each of which generated 1 CLD. The findings were largely congruent between the countries. Three feedback loops in the merged diagram particularly stand out: commercial drivers of unhealthy diets; mental health and unhealthy diets; social media use, body image and motivation to exercise.ConclusionsGMB provides a novel way of eliciting from young people the system-based drivers of obesity that are relevant to them. Mental health issues, social media use and commercial practices were considered by the young people to be key drivers of adolescent obesity, subjects that have thus far had little or no coverage in research and policy.

Ethical Considerations for Food and Beverage Warnings

Several countries have implemented warnings on unhealthy foods and beverages, with similar policies under consideration in the U.S. and around the world. Research demonstrating food warnings’ effectiveness is emerging, but limited scholarship has evaluated the ethics of food warning policies. Using a public health ethics framework for evaluating obesity prevention policies, we assessed the ethical strengths and weaknesses of food warnings along multiple dimensions: 1) Health behaviors and physical health, 2) Psychosocial well-being, 3) Social and cultural values, 4) Informed choice, 5) Equality, 6) Attributions of responsibility, 7) Liberty, and 8) Privacy. Our analysis identifies both ethical strengths and weaknesses of food warnings, including that: 1) warnings are likely to generate important benefits including increased consumer understanding and informed choice, healthier purchases, and potential reductions in obesity prevalence; 2) warnings evoke negative emotional reactions, but these reactions are an important mechanism through which food warnings encourage healthier behaviors and promote informed choice; 3) warnings appear unlikely to have ethically unacceptable effects on social and cultural values, attributions of responsibility, liberty, or privacy. Current research suggests we continue to pursue food warnings as a policy option for improving public health while simultaneously conducting additional research on the ethics of these policies. Future research is especially needed to clarify warnings’ effects on stigma and to characterize the balance and distribution of costs of and benefits from implementing warning policies.

Healthy nutrition in Germany: a survey analysis of social causes, obesity and socioeconomic status.

The obesity pandemic is an increasing burden for society. Information on key drivers of the nutrition cycle of (a) social causation, (b) biological causation and (c) health selection is vital for effective policies targeted at the reduction of obesity prevalence. However, empirical causal knowledge on (a) the social predictors of diet quality, (b) its impact on corpulence and (c) the socioeconomic consequences of obesity is sparse. We overcome the limitations of previous research and acquire comprehensive causal insight into this cycle. Therefore, we analyse two German socio-epidemiological panel surveys exploiting their longitudinal panel structure utilising hybrid panel regression models. General population of Germany. German Health Interview and Examination Survey for Children and Adolescents (KiGGS, n 17 640; age 0-24 years) and the German National Nutrition Monitoring (NEMONIT, n 2610; age 15-82 years). The results indicate that (a) interestingly only sex, education and age explain healthy diets; (b) increases in a newly developed Optimised Healthy Eating Index (O-HEI-NVSII) and in nuts intake reduce BMI, while growing overall energy intake, lemonade, beer and meat (products) intake drive corpulence; (c) in turn, developing obesity decreases socioeconomic status. These results suggest that policies targeted at the reduction of obesity prevalence may be well advised to focus on boys and men, people with low education, the promotion of a healthy diet and nuts intake, and the limitation of lemonade, beer and meat (products) intake. Therefore, future research may focus on the replication of our findings utilising longer panels and experimental approaches.

Effective school food environment interventions for the prevention of childhood obesity: systematic review and meta-analysis

BackgroundThe food environment is a modifiable enabler of dietary choices that can have a great impact on the prevention of childhood obesity in the UK. It is defined as a combination of physical, economic, political, and sociocultural surroundings as well as opportunities and conditions that influence food choice. Many interventions have been undertaken at the school level but evidence of their effectiveness in the reduction of childhood obesity is scarce. Therefore, we aimed to synthesise and evaluate the evidence of food environmental interventions around and within schools to determine effective parameters that can aid in childhood obesity prevention. MethodsWe searched CINAHL, Embase, Global Health, MEDLINE, Scielo, and Cochrane databases. The considered population were children aged 18 years or younger. Interventions focused on modification of the food environment in schools to prevent obesity and improve dietary intake. Outcomes included anthropometrical measures and dietary intake. The protocol was registered with PROSPERO (CRD42019125039). A second reviewer did a reliability check on 10% of abstracts, bias, and full-text review. FindingsBetween Jan 1, 2000, to Feb 12, 2019, we retrieved 4307 studies, of which 21 were included after screening. Interventions (13; 62%), policies (two; 10%), and laws (three; 14%) from eight countries, including the UK, were included. Four (19%) interventions focused on vending machines. Study designs included natural experiments (one; 5%), quasi-experiments (two; 6%), non-randomised (one; 5%), and randomised (four; 19%). The main outcomes were body-mass index z score (13; 62%) and dietary intake (n=4, 19%). A positive association (p=0·0451) was found in 15 (71%) studies between 0·89% and 1·29% reduction in obesity prevalence. The most frequent interventions were vending machines, school stores, cafeterias, and menu offering regulations. InterpretationIdentified effective interventions in the prevention of childhood obesity were banning of sugary drinks in schools and an increase in availability and accessibility of fruits and vegetables for children from an early age. Multisystem approaches, such as stringent and monitored school meal programmes, alongside the collaboration, training, education, and integration of the school staff, parents, and students, increased acceptability and adaptability according to the local needs and sustainability of the food environment interventions. Changes in the environment lead to individual behaviour modifications. FundingEuropean Commission (H2020 SC2).

Cost-Effectiveness of the EdAl (Educació en Alimentació) Program: A Primary School-Based Study to Prevent Childhood Obesity.

BackgroundThe cost-effectiveness of childhood obesity prevention interventions is critical for their sustained implementation. This study evaluated the cost-effectiveness of the Educació en Alimentació (EdAl) program, a school-based intervention for reducing obesity.MethodsTotal EdAl program implementation costs and per-child costs were estimated. Cost-effectiveness, defined using the incremental cost-effectiveness ratio (ICER), was estimated as the difference between the intervention and control group costs divided by the obesity-related outcome effects for boys (avoided cases of obesity, obesity prevalence, body mass index [BMI], and BMI z-score units) for each group. As a significant difference (4.39%) in the reduction of obesity prevalence between the intervention and control groups was observed for boys in the EdAl program, the data were calculated only for boys.ResultsThe intervention cost was 24,246.53 € for 1,550 children (15.64 €/child/3 years) or 5.21 €/child/year. The ICERs/boy were 968.66 € to avoid one case of obesity, 3.6 € to reduce the obesity prevalence by 1%, 44.68 € to decrease BMI by one unit, and 65.16 € to reduce the BMI z-score by one unit.ConclusionsThe cost of reducing the obesity prevalence in boys by 4.39% was 5.21 €/child/year, half the cost proposed by the Spanish Health Ministry, indicating that the EdAl program is cost-effective.

Correction: Expected population weight and diabetes impact of the 1-peso-per-litre tax to sugar sweetened beverages in Mexico.

[This corrects the article DOI: 10.1371/journal.pone.0176336.].

Simulating the Impact of Sugar-Sweetened Beverage Warning Labels in Three Cities

A number of locations have been considering sugar-sweetened beverage point-of-purchase warning label policies to help address rising adolescent overweight and obesity prevalence. To explore the impact of such policies, in 2016 detailed agent-based models of Baltimore, Philadelphia, and San Francisco were developed, representing their populations, school locations, and food sources, using data from various sources collected between 2005 and 2014. The model simulated, over a 7-year period, the mean change in BMI and obesity prevalence in each of the cities from sugar-sweetened beverage warning label policies. Data analysis conducted between 2016 and 2017 found that implementing sugar-sweetened beverage warning labels at all sugar-sweetened beverage retailers lowered obesity prevalence among adolescents in all three cities. Point-of-purchase labels with 8% efficacy (i.e., labels reducing probability of sugar-sweetened beverage consumption by 8%) resulted in the following percentage changes in obesity prevalence: Baltimore: -1.69% (95% CI= -2.75%, -0.97%, p<0.001); San Francisco: -4.08% (95% CI= -5.96%, -2.2%, p<0.001); Philadelphia: -2.17% (95% CI= -3.07%, -1.42%, p<0.001). Agent-based simulations showed how warning labels may decrease overweight and obesity prevalence in a variety of circumstances with label efficacy and literacy rate identified as potential drivers. Implementing a warning label policy may lead to a reduction in obesity prevalence. Focusing on warning label design and store compliance, especially at supermarkets, may further increase the health impact.

Excessive Gestational Weight Gain and Subsequent Maternal Obesity at Age 40: A Hypothetical Intervention.

To model the hypothetical impact of preventing excessive gestational weight gain on midlife obesity and compare the estimated reduction with the US Healthy People 2020 goal of a 10% reduction of obesity prevalence in adults. We analyzed 3917 women with 1 to 3 pregnancies in the prospective US National Longitudinal Survey of Youth, from 1979 to 2012. We compared the estimated obesity prevalence between 2 scenarios: gestational weight gain as reported and under the scenario of a hypothetical intervention that all women with excessive gestational weight gain instead gained as recommended by the Institute of Medicine (2009). A hypothetical intervention was associated with a significantly reduced estimated prevalence of obesity for first (3.3 percentage points; 95% confidence interval [CI] = 1.0, 5.6) and second (3.0 percentage points; 95% CI = 0.7, 5.2) births, and twice as high in Black as in White mothers, but not significant in Hispanics. The population attributable fraction was 10.7% (95% CI = 3.3%, 18.1%) in first and 9.3% (95% CI = 2.2%, 16.5%) in second births. Development of effective weight-management interventions for childbearing women could lead to meaningful reductions in long-term obesity.

Student obesity prevalence and behavioral outcomes for the massachusetts childhood obesity research demonstration project.

ObjectiveExamine changes in prevalence of obesity and target health behaviors (fruit, vegetable, and beverage consumption; physical activity; screen time; sleep duration) among students from communities that participated in the Massachusetts Childhood Obesity Research Demonstration Project (MA-CORD) compared to controls.MethodsMA-CORD was implemented in two low-income communities. School-level prevalence of obesity among students in grades 1, 4 and 7 was calculated for the intervention communities and nine matched control communities pre- and post-intervention. Fourth and 7th grade students’ self-reported health behaviors were measured in intervention communities at baseline and post-intervention.ResultsAmong 7th graders (the student group with greatest intervention exposure), we observed a statistically significant decrease in prevalence of obesity from baseline to post-intervention in Community 2 (−2.68 percent, p=0.049) and a similar but non-significant decrease in Community 1 (−2.24 percent, p=0.099). Fourth and 7th grade students in both communities were more likely to meet behavioral targets post-intervention for sugar-sweetened beverages (both communities: p<0.0001) and water (Community 1: p<0.01; Community 2: p=0.04), and in Community 2 for screen time (p<0.01).ConclusionsThis multisector intervention was associated with a modest reduction in obesity prevalence among 7th graders in one community compared to controls, along with improvements in behavioral targets.

Expected population weight and diabetes impact of the 1-peso-per-litre tax to sugar sweetened beverages in Mexico.

Study questionWhat effect on body mass index, obesity and diabetes can we expect from the 1-peso-per-litre tax to sugar sweetened beverages in Mexico?MethodsUsing recently published estimates of the reductions in beverage purchases due to the tax, we modelled its expected long-term impacts on body mass index (BMI), obesity and diabetes. Microsimulations based on a nationally representative dataset were used to estimate the impact of the tax on BMI and obesity. A Markov population model, built upon an age-period-cohort model of diabetes incidence, was used to estimate the impact on diagnosed diabetes in Mexico. To analyse the potential of tax increases we also modelled a 2-peso-per-litre tax scenario.Study answer and limitationsTen years after the implementation of the tax, we expect an average reduction of 0.15 kg/m2 per person, which translates into a 2.54% reduction in obesity prevalence. People in the lowest level of socioeconomic status and those between 20 and 35 years of age showed the largest reductions in BMI and overweight and obesity prevalence. Simulations show that by 2030, under the current implementation of 1-peso-per-litre, the tax would prevent 86 to 134 thousand cases of diabetes. Overall, the 2-peso-per-litre scenario is expected to produce twice as much of a reduction. These estimates assume the tax effect on consumption remains stable over time. Sensitivity analyses were conducted to assess the robustness of findings; similar results were obtained with various parameter assumptions and alternative modelling approaches.What this study addsThe sugar-sweetened beverages tax in Mexico is expected to produce sizable and sustained reductions in obesity and diabetes. Increasing the tax could produce larger benefits. While encouraging, estimates will need to be updated once data on direct changes in consumption becomes available.