BackgroundPoor diet is a leading risk factor for cardiometabolic disease (CMD) in the United States, but its economic costs are unknown. We sought to estimate the cost associated with suboptimal diet in the US.Methods and findingsA validated microsimulation model (Cardiovascular Disease Policy Model for Risk, Events, Detection, Interventions, Costs, and Trends [CVD PREDICT]) was used to estimate annual cardiovascular disease (fatal and nonfatal myocardial infarction, angina, and stroke) and type 2 diabetes costs associated with suboptimal intake of 10 food groups (fruits, vegetables, nuts/seeds, whole grains, unprocessed red meats, processed meats, sugar-sweetened beverages, polyunsaturated fats, seafood omega-3 fats, sodium). A representative US population sample of individuals aged 35–85 years was created using weighted sampling from National Health And Nutrition Examination Surveys (NHANES) 2009–2012 cycles. Estimates were stratified by cost type (acute, chronic, drug), sex, age, race, education, BMI, and health insurance. Annual diet-related CMD costs were $301/person (95% CI $287–$316). This translates to $50.4 billion in CMD costs (18.2% of total) for the whole population, of which 84.3% are attributed to acute care ($42.6 billion). The largest annual per capita costs are attributed to low consumption of nuts/seeds ($81; 95% CI $74–$86) and seafood omega-3 fats ($76; 95% CI $70–$83), and the lowest are attributed to high consumption of red meat ($3; 95% CI $2.8–$3.5) and polyunsaturated fats ($20; 95% CI $19–$22). Individual costs are highest for men ($380), those aged ≥65 years ($408), blacks ($320), the less educated ($392), and those with Medicare ($481) or dual-eligible ($536) insurance coverage. A limitation of our study is that dietary intake data were assessed from 24-hour dietary recall, which may not fully capture a diet over a person's life span and is subject to measurement errors.ConclusionsSuboptimal diet of 10 dietary factors accounts for 18.2% of all ischemic heart disease, stroke, and type 2 diabetes costs in the US, highlighting that timely implementation of diet policies could address these health and economic burdens.

Objectives. To estimate the health impact and cost-effectiveness of a national penny-per-ounce sugar-sweetened beverage (SSB) tax, overall and with stratified costs and benefits for 9 distinct stakeholder groups. Methods. We used a validated microsimulation model (CVD PREDICT) to estimate cardiovascular disease reductions, quality-adjusted life years gained, and cost-effectiveness for US adults aged 35 to 85 years, evaluating full and partial consumer price pass-through. Results. From health care and societal perspectives, the SSB tax was highly cost-saving. When we evaluated health gains, taxes paid, and out-of-pocket health care savings for 6 distinct consumer categories, incremental cost-effectiveness ratios ranged from $20 247 to $42 662 per quality-adjusted life year for 100% price pass-through (incremental cost-effectiveness ratios similar with 50% pass-through). For the beverage industry, net costs were $0.92 billion with 100% pass-through (largely tax-implementation costs) and $49.75 billion with 50% pass-through (largely because of partial industry coverage of the tax). For government, the SSB tax positively affected both tax revenues and health care cost savings. Conclusions. This stratified analysis improves on unitary approaches, illuminating distinct costs and benefits for stakeholders with political influence over SSB tax decisions.

Objective Assess awareness, treatment, and control of hypertension, as an indication of its management, in rural South Africa, especially regarding modifiers of these variables. Methods A population-representative sample of adults aged at least 40 years residing in the rural Agincourt subdistrict (Mpumalanga Province) covered by a long-term health and sociodemographic surveillance system was recruited. In-person interviews, physical exams, and dried blood spots were collected. Hypertension awareness, treatment, and control rates were assessed. A regression model was built to identify predictors of those outcomes. Results The mean age of the 2884 hypertensive participants was 64.1 ± 12.7 years. Hypertension awareness rate was 64.4%, treatment among those aware was 89.3 and 45.8% of those treated were controlled. Considering aware and unaware hypertensives, treatment rate was 49.7% and control 22.8%. In the multivariable regression model, awareness was predicted by female sex, age at least 60 years, higher social economic status, prior cardiovascular disease (CVD), nonimmigrant status, literacy, and physical limitation. Improved control among those treated was predicted by age at least 60 years. Blood pressure control among all hypertensive study participants was predicted by female sex, being HIV-negative, age at least 60 years, nonimmigrant status, and prior CVD. Conclusion High rates of awareness and treatment of hypertension as well as good levels of control were found in this population, probably explained by the long-term surveillance program conducted in the area. Considering the predictors of hypertension management, particular attention should be given to men, residents younger than 60 years, immigrants, and study participants without CVD as these characteristics were predictors of poor outcome.

The results suggest that both overall obesity (BMI) and central obesity (WC and WHtR) anthropometric indicators can be used in this population to evaluate the risk of developing hypertension.

Dyslipidemia is a primary driver for chronic cardiovascular conditions and there is no comprehensive literature about its management in South Africa. The objective of this study was to assess the prevalence, awareness, treatment, and control of dyslipidemia in rural South Africa and how they are impacted by different behaviors and non-modifiable factors. To fulfill this objective we recruited for this cohort study adults aged ≥40 years residing in the Agincourt sub-district of Mpumalanga Province. Data collection included socioeconomic and clinical data, anthropometric measures, blood pressure (BP), HIV-status, point-of-care glucose and lipid levels. Framingham CVD Risk Score was ascribed to patients based upon categories for 10 year cardiovascular risk of low (<3%), moderate (≥3% and <15%), high (≥15% and <30%), and very high (≥30%).LDL cholesterol control by risk category was defined according to South African Guidelines. Multivariable logistic regression models were built to identify factors that were significantly associated with dyslipidemia and awareness of dyslipidemia From 5,059 respondents a total of 4247 subjects (83.9%) had their cholesterol levels measured and were included in our analysis. Overall, 67.3% (2860) of these met criteria for dyslipidemia, only 30 (1.05%) were aware of their condition, and only 21 subjects (0.73%) were on treatment. The majority have abnormalities in triglycerides (59.3%). As cardiovascular risk increased the rates of lipid control according to LDL level dropped. Multivariate logistic regression analyses showed that being overweight was predictive of dyslipidemia (OR 1.76; 95%CI 1.51–2.05, p<0.001) and dyslipidemia awareness (OR 2.58; 95%CI 1.19–5.58; p = 0.017). In conclusion, the very low awareness and treatment of dyslipidemia in this cohort indicate a greater need for systematic screening and education within the population and demonstrate that there are multiple opportunities to allay this burden.

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