2018
DOI: 10.1371/journal.pmed.1002551
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Estimating the health and economic effects of the proposed US Food and Drug Administration voluntary sodium reformulation: Microsimulation cost-effectiveness analysis

Abstract: BackgroundSodium consumption is a modifiable risk factor for higher blood pressure (BP) and cardiovascular disease (CVD). The US Food and Drug Administration (FDA) has proposed voluntary sodium reduction goals targeting processed and commercially prepared foods. We aimed to quantify the potential health and economic impact of this policy.Methods and findingsWe used a microsimulation approach of a close-to-reality synthetic population (US IMPACT Food Policy Model) to estimate CVD deaths and cases prevented or p… Show more

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Cited by 48 publications
(47 citation statements)
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“…The extended U.S. IMPACT Food Policy model is a stochastic dynamic microsimulation model that simulates the life course of synthetic individuals under different policy scenarios. 23 Compared to previous versions of the model, 15 it allows for more detailed and flexible simulation of food policies in a competing risk framework, taking into account individual heterogeneity and lag times between exposures and outcomes. The model first simulated the life courses of synthetic individuals aged 30-84 under the base-case scenario and estimated their added sugar intake, BMI, incidence of type 2 diabetes, first episode of CHD and/or stroke, quality-adjusted life-years (QALYs), costs, and death from these diseases or any other cause on an annual basis.…”
Section: The Us Impact Food Policy Model Structure and Outputsmentioning
confidence: 99%
See 1 more Smart Citation
“…The extended U.S. IMPACT Food Policy model is a stochastic dynamic microsimulation model that simulates the life course of synthetic individuals under different policy scenarios. 23 Compared to previous versions of the model, 15 it allows for more detailed and flexible simulation of food policies in a competing risk framework, taking into account individual heterogeneity and lag times between exposures and outcomes. The model first simulated the life courses of synthetic individuals aged 30-84 under the base-case scenario and estimated their added sugar intake, BMI, incidence of type 2 diabetes, first episode of CHD and/or stroke, quality-adjusted life-years (QALYs), costs, and death from these diseases or any other cause on an annual basis.…”
Section: The Us Impact Food Policy Model Structure and Outputsmentioning
confidence: 99%
“…Then, it calculated the life courses of the same synthetic individuals under both labeling scenarios and generated annual estimated changes in each health outcome at the individual level ( Figure 2). CVD and type 2 diabetes outcomes were modeled as previously reported 23 and are fully described in Text S1. Briefly, using a population attributable risk approach, the model estimated the annual risks of the synthetic individuals aged 30-84 years to develop CHD and stroke based on their BMI, type 2 diabetes status, incidence rate forecasts and etiologic effects of added sugar intake ( Figure 2).…”
Section: The Us Impact Food Policy Model Structure and Outputsmentioning
confidence: 99%
“…According to United States FDA statistics 2017, nearly 23% of the processed foods in United States had been recalled due to potential risk linked to public health epidemic and food safety concerns. However, for developing countries there is no such reliable data exists even that can portray a glooming snapshot of food safety (6).…”
Section: Introductionmentioning
confidence: 99%
“…According to United States FDA statistics 2017, nearly 23% of the processed foods in United States had been recalled due to potential risk linked to public health epidemic and food safety concerns. However, for developing countries there is no such reliable data exists even that can portray a glooming snapshot of food safety (Pearson-Stuttard et al 2018).…”
Section: Introductionmentioning
confidence: 99%