Impact of Restricting Sugar-Sweetened Beverages From the Supplemental Nutrition Assistance Program on Children's Health

Choi, Sung Eun; Wright, Davene R.; Bleich, Sara N.

doi:10.1016/j.amepre.2020.08.023

Cited by 9 publications

(6 citation statements)

References 33 publications

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“…In order to model the impact of diet on the onset of one or more NCDs, the available MSMs incorporated a broad range of data inputs from various publicly available data sources (52). Briefly, models relied on using cohort/survey data for demographics, trends in prevalences of biological factors and dietary intakes, and disease incidence and mortality rates by age and sex, and using published literature data for wellaccepted risk factor-health associations and, when using a (31,36,43,47,48) Options in intervention strategy (21) Participation rate (22,30,44,48) Participation time length/intervention duration (22,30,48) Intervention efficacy during and afterwards (22,44,47) Discount rate and willingness to pay (22,32,33,37) Policy size effects of labeling and food reformulation (36,37,39) Elasticities (20,23,29,43) Bias in dietary recall (46) Additional disease outcome: Lung cancer (30)…”

Section: Methodological Considerationsmentioning

confidence: 99%

“…MSMs were initially populated by a sample of theoretical (synthetic) individuals using population distributions' parameters of demographics and risk factors (including diet) taken either from observational prospective cohort studies [as applied in (17,41,42)] or, more frequently, from population-representative health surveys, often combined with census statistics [as applied in (16,(43)(44)(45)(46)(47)(48)]. This sample of individuals-the starting cohort-was either drawn by taking a weighted sample of individuals included in the cohorts/surveys or was created by generating a "closeto-reality" synthetic population (Table 2).…”

Section: Formulation Of the Starting Cohortmentioning

confidence: 99%

“…This sample of individuals-the starting cohort-was either drawn by taking a weighted sample of individuals included in the cohorts/surveys or was created by generating a "closeto-reality" synthetic population (Table 2). Most models were restricted to the adult population, but 6 studies also included children (Supplemental Table 2) (17,27,29,30,48,49). In studies using an open cohort design (16, 18-21, 24, 27, 29, 32-39, 41, 43, 46), individuals can enter the cohort and leave the cohort (mortality), with rates of entry and exit based on population projections by census statistics to account for population ageing and demographic shifts over the years.…”

Section: Formulation Of the Starting Cohortmentioning

confidence: 99%

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Microsimulation Modeling in Food Policy: A Scoping Review of Methodological Aspects

Mertens

Genbrugge

Ocira

et al. 2022

Advances in Nutrition

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Food policies for the prevention and management of diet-related non-communicable diseases (NCDs) have been increasingly relying on microsimulation models (MSMs) to assess effectiveness. Given the increased uptake of MSMs, this review aims to provide an overview of the characteristics of MSMs that link diets with NCDs. A comprehensive review was conducted in PubMed and Web of Knowledge. Inclusion criteria were: (i) findings from a MSM, (ii) diets, foods or nutrients as main exposure of interest, (iii) NCDs, such as overweight/obesity, type 2 diabetes, coronary heart disease, stroke or cancer as disease outcome for impact assessment. This review included information from 33 studies using MSM in analyzing diet and diverse food policies on NCDs. Hereby, most models employed stochastic, discrete-time, dynamic microsimulation techniques to calculate anticipated (cost-)effectiveness of strategies based on food pricing, food reformulation or dietary (lifestyle) interventions. Currently available models differ in the methodology used for quantifying the effect of the dietary changes on disease, and in the method for modelling disease incidence and mortality. However, all studies provided evidence that the models were sufficiently capturing the close-to-reality situation by justifying their choice of model parameters and validating externally their modelled disease incidence and mortality with observed or predicted event data. With the increasing use of various MSMs, between-model comparisons, facilitated by open access models and good reporting practices, would be important for judging model's accuracy, leading to continued improvement in the methodologies for developing and applying MSMs, and subsequently a better understanding of the results by policymakers. A statement of significance Given the advancement in the application of microsimulation modelling in evaluating food policies and measuring diet-related disease burdens, the present scoping review serves as an exercise to inform future modelling, hereby highlighting the need for transparency in model development, application and dissemination to advance and safeguard accuracy and relevance in modelling efforts.

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Section: Methodological Considerationsmentioning

confidence: 99%

Section: Formulation Of the Starting Cohortmentioning

confidence: 99%

Section: Formulation Of the Starting Cohortmentioning

confidence: 99%

See 1 more Smart Citation

Microsimulation Modeling in Food Policy: A Scoping Review of Methodological Aspects

Mertens

Genbrugge

Ocira

et al. 2022

Advances in Nutrition

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show abstract

“…Evidence suggests that restricting SSB purchases in SNAP could reduce the calories consumed from SSBs by 15% and reduce negative health consequences including obesity prevalence and diabetes [ 56 ]. A separate study of the impact of restricting SSBs on children's health found that if SSBs were substituted with fruit juice and milk, the restriction would be expected to reduce obesity prevalence among SNAP participants by 6.2 percentage points [ 57 ▪▪ ]. A randomized controlled trial found that pairing incentives for purchasing more fruits and vegetables with restrictions on the purchase of less nutritious foods (e.g.…”

Section: Policy Interventions To Improve Health Outcomes For Suppleme...mentioning

confidence: 99%

Supplemental Nutrition Assistance Program as a health intervention

Mande

Flaherty

2022

Current Opinion in Pediatrics

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Purpose of reviewIn 2020, obesity prevalence among US children reached 19.7%, impacting about 14.7 million children and adolescents. Food insecurity among children is also a public health concern but has largely decreased or remained stable over the past decade, reaching 6.2% of US households with children in 2021. Given food insecurity and obesity's interconnected nature and their negative consequences on children's health, it is of interest to assess the Supplemental Nutrition Assistance Program's (SNAP's) impact on childhood food security, dietary quality, disease risk, and health outcomes.Recent findingsEvidence suggests that SNAP participants, including children, struggle to meet key dietary guidelines and perform poorly on key health indicators when compared with income-eligible and higher income nonparticipants. Children participating in SNAP were more likely to have elevated disease risk and consume more sugar-sweetened beverages (SSBs), more high-fat dairy, and more processed meats than income-eligible nonparticipants. However, research suggests that federal food assistance programs with more stringent nutrition standards – the Special Supplemental Nutrition Program for Women, Infants and Children (WIC) and the National School Lunch Program (NSLP) and School Breakfast Program (SBP) – improve dietary quality, increase birth weight and gestation periods, and reduce childhood obesity, infant mortality and healthcare costs.SummaryAfter reviewing the evidence on SNAP's impacts on food insecurity, dietary quality, and health as well as research on the health impacts of other more successful federal food assistance programs, we provide three policy recommendations to strengthen SNAP's effectiveness as a health intervention for children and families.

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“…SSB consumption promotes weight gain and increases the risk of other metabolic disorders, such as type 2 diabetes, in adults [ 12 , 13 ]. Several studies have shown that reducing SSB consumption reduces the risk of overweight and obesity and thus reduces the risk of obesity-related diseases such as cardiovascular and cerebrovascular disease, cancer, musculoskeletal disease, asthma, depression, social isolation, and dental caries, to name a few [ 14 , 15 ]. SSB consumption has also been linked to weight gain in children and adolescents, according to WHO [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

The burden of disease and economic impact of sugar-sweetened beverages’ consumption in Argentina: A modeling study

et al. 2023

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Background Approximately two-thirds of Argentine adults are overweight or obese, and 11% have diabetes. Over the last two decades, all population groups have increased their consumption of ultra-processed foods and sugar-sweetened beverages (SSB). We aimed to estimate the disease burden—deaths, events, and costs to the health system—attributed to SSB consumption in Argentina. Methods We used a comparative risk assessment framework to estimate the health and economic impacts that would be avoided in a scenario without sugar-sweetened beverage (SSB) consumption. We calculated the direct effects on diabetes, cardiovascular disease, and BMI, and then estimated the effects of BMI on disease incidence. Finally, we applied the population attributable factor to calculate the health and economic burden avoided in Argentina in 2020. Results Our model estimated that about 4,425 deaths, 110,000 healthy life years lost to premature death and disability, more than 520,000 cases of overweight and obesity in adults, and 774,000 in children and adolescents would be attributed to SSB Consumption in Argentina. This disease burden corresponds to 23% of type-2 diabetes cases and other significant proportions of cardiovascular disease and cancer. The overweight and obesity costs attributable to SSB totaled approximately $47 million in adults and $15 million in children and adolescents. Conclusion A significant number of disease cases, deaths, and health care costs could be attributed to SSB consumption in Argentina. Implementing measures to reduce the sugar content in beverages is a pending debt for the country and could lead to measurable improvements in population health, especially among children and adolescents.

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Impact of Restricting Sugar-Sweetened Beverages From the Supplemental Nutrition Assistance Program on Children's Health

Cited by 9 publications

References 33 publications

Microsimulation Modeling in Food Policy: A Scoping Review of Methodological Aspects

Microsimulation Modeling in Food Policy: A Scoping Review of Methodological Aspects

Supplemental Nutrition Assistance Program as a health intervention

The burden of disease and economic impact of sugar-sweetened beverages’ consumption in Argentina: A modeling study

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