Household Food Security and Infant Adiposity.

OBJECTIVES: Food insecurity has been associated with obesity, but previous studies are inconsistent and few included infants. We examined associations between household food security and infant adiposity and assessed the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) and Supplemental Nutrition Assistance Program (SNAP) as effect modifiers. We hypothesized that infants from food-insecure households would have greater adiposity, with attenuation by WIC and SNAP. METHODS: We repeatedly measured 666 infants from the southeastern United States in 2013-2017. We categorized households as high, marginal, low, or very low using the US Household Food Security Survey Module. Outcomes were BMI z score, subscapular and triceps skinfold-for-age z score, the sum of subscapular and triceps skinfolds, the ratio of subscapular and triceps skinfolds, and BMI z score ≥1 (at risk for overweight). We used covariate-adjusted repeated-measures linear and logistic regressions. RESULTS: Of infants, 68.6% were Black and 60.5% had household incomes <$20 000. Interactions between food security and WIC and/or SNAP were not significant. Compared with infants from high food security households, infants from very low food security households had higher BMI z scores (0.18 U; 95% confidence interval [CI] 0.01 to 0.35), higher subscapular skinfold-for-age z scores (0.31 U; 95% CI 0.04 to 0.59), a higher sum of subscapular and triceps skinfolds (0.53 mm; 95% CI 0.002 to 1.07), and greater odds of being at risk for overweight (odds ratio 1.55; 95% CI 1.14 to 2.10). Infants from low food security households had greater odds of being at risk for overweight (odds ratio 1.72; 95% CI 1.17 to 2.10). CONCLUSIONS: In larger and longer studies, researchers should examine food security and adiposity in young children.

Development and Validation of a Questionnaire to Assess Adherence to the Healthy Food Pyramid in Spanish Adults.

We aimed to design and validate a new questionnaire of adherence to healthy food pyramid (HFP) (AP-Q), to improve previous instruments. The questionnaire was self-administered and included 28 questions from 10 categories (physical activity, health habits, hydration, grains, fruits, vegetables, oil type, dairy products, animal proteins, and snacks). A population of 130 Spanish adults answered it, obtaining scores from each category and a global score of HFP adherence (AP-Q score). Validation was performed through principal components analysis (PCA) and internal consistency by Cronbach's alpha. AP-Q was also externally validated with Kidmed-test, answered by 45 individuals from the cohort. The global AP-Q score was 5.1 ± 1.3, with an internal consistency of 64%. The PCA analysis extracted seven principal components, which explained 68.5% of the variance. The global AP-Q score was positively associated with Kidmed-test score. Our data suggest that AP-Q is a complete and robust questionnaire to assess HFP adherence, with several advantages: easy to complete, cost-effective, timesaving and has the competency to assess, besides diet, several features affecting health status, lacking in other instruments. We suggest that AP-Q could be useful in epidemiological research, although it requires additional calibration to analyze its reproducibility and validation in other populations.

Disparities in accessing infertility care in the United States: results from the National Health and Nutrition Examination Survey, 2013-16.

OBJECTIVE: To investigate infertility rates and access to infertility care among women in the United States. DESIGN: Retrospective cross-sectional. SETTING: Not applicable. PATIENT(S): Women between 20 and 44 years-old who participated in the National Health and Nutrition Examination Survey between 2013 and 2016 and answered questions RHQ074 ("have you ever attempted to become pregnant over a period of at least a year without becoming pregnant?") and RHQ076 ("have you ever been to a doctor or other medical provider because you were unable to become pregnant?"). INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Rates of infertility and accessing infertility care. RESULT(S): Women reported infertility at a rate of 12.5% (95% confidence interval, 10.8-14.4). Higher infertility rates were noted with increasing age and body mass index. There were no differences in infertility rates by race/ethnicity, education, income, U.S. citizenship, insurance, or primary location of health care. However, women with less than a high school diploma accessed infertility care less than women with a college degree (5.0% vs. 11.6%). Women with incomes less than $25,000 sought infertility care less than those with incomes above $100,000 (5.4% vs. 11.6%). Non-U.S. citizens accessed infertility care less than U.S. citizens (6.9% vs. 9.4%), and uninsured women reported fewer visits for infertility than insured women (5.9% vs. 9.9%). Women who used the emergency department as their primary medical location reported accessing infertility care less than those who relied on a hospital outpatient unit (1.4% vs. 14.9%). CONCLUSION(S): These nationally representative findings highlight the need to address disparities in access to infertility care.

Lifetime benefits of early detection and treatment of diabetic kidney disease.

OBJECTIVES: Diabetic kidney disease (DKD) is a frequent complication of diabetes with potentially devastating consequences that may be prevented or delayed. This study aimed to estimate the health and economic benefit of earlier diagnosis and treatment of DKD. METHODS: Life expectancy and medical spending for people with diabetes were modeled using The Health Economics Medical Innovation Simulation (THEMIS). THEMIS uses data from the Health and Retirement Study to model cohorts of individuals over age 50 to project population-level lifetime health and economic outcomes. DKD status was imputed based on diagnoses and laboratory values in the National Health and Nutrition Examination Survey. We simulated the implementation of a new biomarker identifying people with diabetes at an elevated risk of DKD and DKD patients at risk of rapid progression. RESULTS: Compared to baseline, the prevalence of DKD declined 5.1% with a novel prognostic biomarker test, while the prevalence of diabetes with stage 5 chronic kidney disease declined 3.0%. Consequently, people with diabetes gained 0.2 years in life expectancy, while per-capita annual medical spending fell by 0.3%. The estimated cost was $12,796 per life-year gained and $25,842 per quality-adjusted life-year. CONCLUSIONS: A biomarker test that allows earlier treatment reduces DKD prevalence and slows DKD progression, thereby increasing life expectancy among people with diabetes while raising healthcare spending by less than one percent.

Cost-effectiveness of financial incentives for improving diet and health through Medicare and Medicaid: A microsimulation study.

BACKGROUND: Economic incentives through health insurance may promote healthier behaviors. Little is known about health and economic impacts of incentivizing diet, a leading risk factor for diabetes and cardiovascular disease (CVD), through Medicare and Medicaid. METHODS AND FINDINGS: A validated microsimulation model (CVD-PREDICT) estimated CVD and diabetes cases prevented, quality-adjusted life years (QALYs), health-related costs (formal healthcare, informal healthcare, and lost-productivity costs), and incremental cost-effectiveness ratios (ICERs) of two policy scenarios for adults within Medicare and Medicaid, compared to a base case of no new intervention: (1) 30% subsidy on fruits and vegetables ("F&V incentive") and (2) 30% subsidy on broader healthful foods including F&V, whole grains, nuts/seeds, seafood, and plant oils ("healthy food incentive"). Inputs included national demographic and dietary data from the National Health and Nutrition Examination Survey (NHANES) 2009-2014, policy effects and diet-disease effects from meta-analyses, and policy and health-related costs from established sources. Overall, 82 million adults (35-80 years old) were on Medicare and/or Medicaid. The mean (SD) age was 68.1 (11.4) years, 56.2% were female, and 25.5% were non-whites. Health and cost impacts were simulated over the lifetime of current Medicare and Medicaid participants (average simulated years = 18.3 years). The F&V incentive was estimated to prevent 1.93 million CVD events, gain 4.64 million QALYs, and save $39.7 billion in formal healthcare costs. For the healthy food incentive, corresponding gains were 3.28 million CVD and 0.12 million diabetes cases prevented, 8.40 million QALYs gained, and $100.2 billion in formal healthcare costs saved, respectively. From a healthcare perspective, both scenarios were cost-effective at 5 years and beyond, with lifetime ICERs of $18,184/QALY (F&V incentive) and $13,194/QALY (healthy food incentive). From a societal perspective including informal healthcare costs and lost productivity, respective ICERs were $14,576/QALY and $9,497/QALY. Results were robust in probabilistic sensitivity analyses and a range of one-way sensitivity and subgroup analyses, including by different durations of the intervention (5, 10, and 20 years and lifetime), food subsidy levels (20%, 50%), insurance groups (Medicare, Medicaid, and dual-eligible), and beneficiary characteristics within each insurance group (age, race/ethnicity, education, income, and Supplemental Nutrition Assistant Program [SNAP] status). Simulation studies such as this one provide quantitative estimates of benefits and uncertainty but cannot directly prove health and economic impacts. CONCLUSIONS: Economic incentives for healthier foods through Medicare and Medicaid could generate substantial health gains and be highly cost-effective.

Process Evaluation and Costing of a Multifaceted Population-Wide Intervention to Reduce Salt Consumption in Fiji.

This paper reports the process evaluation and costing of a national salt reduction intervention in Fiji. The population-wide intervention included engaging food industry to reduce salt in foods, strategic health communication and a hospital program. The evaluation showed a 1.4 g/day drop in salt intake from the 11.7 g/day at baseline; however, this was not statistically significant. To better understand intervention implementation, we collated data to assess intervention fidelity, reach, context and costs. Government and management changes affected intervention implementation, meaning fidelity was relatively low. There was no active mechanism for ensuring food companies adhered to the voluntary salt reduction targets. Communication activities had wide reach but most activities were one-off, meaning the overall dose was low and impact on behavior limited. Intervention costs were moderate (FJD $277,410 or $0.31 per person) but the strategy relied on multi-sector action which was not fully operationalised. The cyclone also delayed monitoring and likely impacted the results. However, 73% of people surveyed had heard about the campaign and salt reduction policies have been mainstreamed into government programs. Longer-term monitoring of salt intake is planned through future surveys and lessons from this process evaluation will be used to inform future strategies in the Pacific Islands and globally.

A cross-sectional study of the relationship between blood lead levels and reported attention deficit disorder: an assessment of the economic impact on the United States.

Attention deficit disorder (ADD) is characterized by a pattern of inattention and/or impulsivity that is inconsistent with developmental level and interferes with normal functioning in at least two settings. A recent meta-analysis suggested a significant relationship between lead (Pb) exposure and attention deficit symptoms. This study evaluated the potential relationship between increasing blood Pb levels and the risk of a reported ADD diagnosis. This cross-sectional study examined a sample of 2109 persons (32,762,158 weighted-persons) between 10 and 19 years-old from the 2003-2004 National Health and Nutritional Examination Survey (NHANES). This study analyzed demographic, socioeconomic, health related-questions, and laboratory tests using survey logistic and frequency modeling in SAS. On a microgram (µg)/deciliter (dL) basis, a significant dose-response relationship between increasing blood Pb levels and the risk of a reported ADD outcome was confirmed (odds ratio (OR) = 1.237, p = 0.0227). The relationship between increasing blood Pb levels and the risk of a reported ADD remained consistent when examining covariates such as gender, race, and socioeconomic status (OR = 1.292, p = 0.0301). Control outcomes selected on an a priori basis to not be biologically plausibly linked to blood Pb levels showed no relationship with increasing blood Pb levels. This NHANES analysis revealed an estimated 380,000 persons born in the United States (US) from 1984 to 1993 were reported to have an ADD outcome as a consequence of elevated blood Pb levels and the excess lifetime costs of these persons would be about US $100 billion. Every effort should be made to eliminate childhood Pb exposure.

Financial impact of disease-related malnutrition at the San Pedro de Alcántara hospital. Estimated cost savings associated to a specialized nutritional survey. / Impacto económico de la desnutrición relacionada con la enfermedad en el hospital San Pedro de Alcántara. Estimación del ahorro asociado a una atención nutricional especializada de calidad.

INTRODUCTION AND OBJECTIVES: DRM is a highly prevalent condition in Spanish hospitals and is associated to increased healthcare costs. Costs associated to DRM were calculated using the methods of the PREDyCES study. The potential savings derived from specialized nutritional treatment were calculated by extrapolating the results of the SNAQ strategy. RESULTS: Median cost per procedure in patients with DRM was €9,679.85, with a final cost of €28,700,775.2. The cost of each patient with DRM was 2.63 times higher than the cost of patients with no DRM. The potential cost saving associated to specialized nutritional treatment was estimated at €1,682,317.28 (5.86% of total cost associated to DRM). CONCLUSIONS: Patients with DRM showed a higher consumption of financial resources as compared to well-nourished patients. Specialized nutritional treatment is a potential cost-saving procedure.

Trained Cohorts of University Students are a Useful Resource for Conducting Dietary Surveys in Mongolia.

BACKGROUND: Population-based dietary assessment is important for informing national nutrition policy. The developing country setting presents challenges for robust implementation of dietary surveys, yet effective nutrition interventions are often urgently required. OBJECTIVE: To develop and evaluate a low-cost approach to epidemiologic dietary assessment in Mongolia, involving the use of large cohorts of local public health and medical students as research assistants for collecting diet records. METHODS: From 2011 to 2016, over 200 Mongolian medical and public health university students were trained to collect paired summer and winter 3-day weighed diet records from urban and rural study populations across the geographic expanse of Mongolia. Students were supervised during data collection, and their performance and experience during training and data collection were qualitatively evaluated from their own perspectives as well as those of the investigators. RESULTS: Students collected detailed and thorough diet records and generally reported positive feedback regarding training and data collection. Frequent supervision of students during data collection proved to be extremely worthwhile. While rural participants were amenable to having students follow them, students faced several challenges in assessing the diets of urban participants. These challenges may best be addressed by separately training these participants beforehand. CONCLUSIONS: With adequate training and supervision, university students may be a useful and cost-effective resource for large-scale dietary surveys in regions where their use would be practical and culturally appropriate. Further research is warranted to study how well this approach may be adapted outside Mongolia and to other dietary assessment methods and technologies.

Confidence interval estimation for pooled-sample biomonitoring from a complex survey design.

UNLABELLED: The National Centers for Disease Control and Prevention (CDC) is using a weighted pooled-sample design to characterize concentrations of persistent organic pollutants (POPs) in the U.S. POPULATION: Historically, this characterization has been based on individual measurements of these compounds in body fluid or tissue from representative samples of the population using stratified multistage selection. Pooling samples before making analytical measurements reduces the costs of biomonitoring by reducing the number of analyses. Pooling samples also allows for larger sample volumes which can result in fewer left censored results. But because samples are pooled across the sampling design cells of the original survey, direct calculation of the design effects needed for accurate standard error and confidence interval (CI) estimation is not possible. So in this paper I describe a multiple imputation (MI) method for calculating design effects associated with pooled-sample estimates. I also evaluate the method presented, by simulating NHANES individual sample data from which artificial pools are created for use in a comparison of pooled-sample estimates with estimates based on individual samples. To further illustrate and evaluate the method proposed in this paper I present geometric mean and various percentile estimates along with their 95% CIs for two chemical compounds from NHANES 2005-2006 pooled samples and compare them to individual-sample based estimates from NHANES 1999-2004.

Estimated Global, Regional, and National Disease Burdens Related to Sugar-Sweetened Beverage Consumption in 2010.

BACKGROUND: Sugar-sweetened beverages (SSBs) are consumed globally and contribute to adiposity. However, the worldwide impact of SSBs on burdens of adiposity-related cardiovascular diseases (CVDs), cancers, and diabetes mellitus has not been assessed by nation, age, and sex. METHODS AND RESULTS: We modeled global, regional, and national burdens of disease associated with SSB consumption by age/sex in 2010. Data on SSB consumption levels were pooled from national dietary surveys worldwide. The effects of SSB intake on body mass index and diabetes mellitus, and of elevated body mass index on CVD, diabetes mellitus, and cancers were derived from large prospective cohort pooling studies. Disease-specific mortality/morbidity data were obtained from Global Burden of Diseases, Injuries, and Risk Factors 2010 Study. We computed cause-specific population-attributable fractions for SSB consumption, which were multiplied by cause-specific mortality/morbidity to compute estimates of SSB-attributable death/disability. Analyses were done by country/age/sex; uncertainties of all input data were propagated into final estimates. Worldwide, the model estimated 184 000 (95% uncertainty interval, 161 000-208 000) deaths/y attributable to SSB consumption: 133 000 (126 000-139 000) from diabetes mellitus, 45 000 (26 000-61 000) from CVD, and 6450 (4300-8600) from cancers. Five percent of SSB-related deaths occurred in low-income, 70.9% in middle-income, and 24.1% in high-income countries. Proportional mortality attributable to SSBs ranged from <1% in Japanese >65 years if age to 30% in Mexicans <45 years of age. Among the 20 most populous countries, Mexico had largest absolute (405 deaths/million adults) and proportional (12.1%) deaths from SSBs. A total of 8.5 (2.8, 19.2) million disability-adjusted life years were related to SSB intake (4.5% of diabetes mellitus-related disability-adjusted life years). CONCLUSIONS: SSBs are a single, modifiable component of diet that can impact preventable death/disability in adults in high-, middle-, and low-income countries, indicating an urgent need for strong global prevention programs.

Herramientas para planificar y medir el consumo en intervenciones nutricionales: fortificación de alimentos / Tools for planning and measuring consumption in nutritional interventions: food fortification

Las intervenciones nutricionales a nivel poblacional están justificadas cuando en una población existen deficiencias de nutrientes. Los métodos más confiables y preferidos son aquellos que proporcionan resultados individuales que al ser sumados pueden revelar la situación general de la población. Los métodos de evaluación de la dieta más comúnmente utilizados en programas de nutrición incluyen las Hojas de Balance de Alimentos (FBS), el Recordatorio de veinticuatro Horas (24 HR), los Cuestionarios de Frecuencia de Consumo alimentario (FFQ), la Herramienta de Evaluación Rápida de Fortificación (FRAT) y las Encuestas de Consumo y Gasto en los Hogares (HCES). Cada método de evaluación de la dieta tiene fortalezas y debilidades que varían según el contexto y la finalidad. La selección del método debe basarse en las necesidades de datos del programa, la disponibilidad de los métodos, el costo y una clara comprensión de las ventajas y desventajas involucradas (AU)

Nutritional interventions at the population level are justified when there are nutrient deficiencies in the population. The most trusted and preferred methods are those that provide individual results that can be added to reveal the overall situation of the population. The methods of dietary assessment most commonly used in nutrition programs include the Food Balance Sheets (FBS), the twenty-four Hours Recall (24 HR), Food Frequency Questionnaires (FFQ), Fortification Rapid Assessment Tool (FRAT) and Household Consumption and Expenditure Surveys (HCES). Each method of dietary assessment has strengths and weaknesses that vary according to context and purpose. The choice of method should be based on the data needs of the program, the availability of methods, cost and a clear understanding of the advantages and disadvantages involved (AU)

Relationships among food label use, motivation, and dietary quality.

Nutrition information on packaged foods supplies information that aids consumers in meeting the recommendations put forth in the US Dietary Guidelines for Americans such as reducing intake of solid fats and added sugars. It is important to understand how food label use is related to dietary intake. However, prior work is based only on self-reported use of food labels, making it unclear if subjective assessments are biased toward motivational influences. We assessed food label use using both self-reported and objective measures, the stage of change, and dietary quality in a sample of 392 stratified by income. Self-reported food label use was assessed using a questionnaire. Objective use was assessed using a mock shopping task in which participants viewed food labels and decided which foods to purchase. Eye movements were monitored to assess attention to nutrition information on the food labels. Individuals paid attention to nutrition information when selecting foods to buy. Self-reported and objective measures of label use showed some overlap with each other (r=0.29, p<0.001), and both predicted dietary quality (p<0.001 for both). The stage of change diminished the predictive power of subjective (p<0.09), but not objective (p<0.01), food label use. These data show both self-reported and objective measures of food label use are positively associated with dietary quality. However, self-reported measures appear to capture a greater motivational component of food label use than do more objective measures.

Obesity prevalence in Mexico: impact on health and economic burden.

OBJECTIVE: Along with other countries having high and low-to-middle income, Mexico has experienced a substantial change in obesity rates. This rapid growth in obesity prevalence has led to high rates of obesity-related diseases and associated health-care costs. DESIGN: Micro-simulation is used to project future BMI trends. Additionally thirteen BMI-related diseases and health-care costs are estimated. The results are simulated for three hypothetical scenarios: no BMI reduction and BMI reductions of 1 % and 5 % across the population. SETTING: Mexican Health and Nutrition Surveys 1999 and 2000, and Mexican National Health and Nutrition Survey 2006. SUBJECTS: Mexican adults. RESULTS: In 2010, 32 % of men and 26 % of women were normal weight. By 2050, the proportion of normal weight will decrease to 12 % and 9 % for males and females respectively, and more people will be obese than overweight. It is projected that by 2050 there will be 12 million cumulative incidence cases of diabetes and 8 million cumulative incidence cases of heart disease alone. For the thirteen diseases considered, costs of $US 806 million are estimated for 2010, projected to increase to $US 1·2 billion and $US 1·7 billion in 2030 and 2050 respectively. A 1 % reduction in BMI prevalence could save $US 43 million in health-care costs in 2030 and $US 85 million in 2050. CONCLUSIONS: Obesity rates are leading to a large health and economic burden. The projected numbers are high and Mexico should implement strong action to tackle obesity. Results presented here will be very helpful in planning and implementing policy interventions.

The nutritional strategy: four questions predict morbidity, mortality and health care costs.

BACKGROUND: Nutritional care for hospital in-patients is potentially important but challenging. OBJECTIVE: To investigate the association between nutritional status and clinical outcomes. METHODS: Eight prevalence surveys were performed at Haukeland University Hospital, Norway, during 2008-2009. In total 3279 patients were classified as being at nutritional risk or not according to the Nutritional Risk Screening (NRS 2002) tool. The initial four questions of NRS 2002 assess dietary intake, weight loss, body mass index (BMI) and illness severity. RESULTS: The overall prevalence of nutritional risk was 29%. Adjusted mean days for hospitalisation was 8.3 days for patients at nutritional risk and 5.0 days for patients not at risk (p < 0.001). In adjusted models, patients at nutritional risk had increased one-year mortality (OR 4.07, 95% CI 2.90-5.70), morbidity (OR 1.59, 95% CI 1.18-2.13), and were 1.24 (95% CI 1.16-1.32) times more likely to have had a new admission during the three previous years and the one subsequent year, compared to patients not at risk. A 'positive' response to the initial four questions was associated with increased risk of morbidity and mortality. Patients with a reduced dietary intake during the last weeks had OR 1.72 (95% CI 1.03-2.85) for one-year mortality. Patients with a positive answer on all the initial four questions had ten times increased risk for mortality the following year, OR 13.0 (95% CI 4.52-37.6). CONCLUSION: The four initial questions of the NRS 2002 robustly identify nutritional risk and were strong predictors of hospitalisation, morbidity and most importantly mortality among hospitalised patients. Thus, these simpler and short questions are robust indicators for subsequent poor outcomes.

Relative costs of 24-hour recall and Household Consumption and Expenditures Surveys for nutrition analysis.

BACKGROUND: The technical and resource demands of the most precise dietary assessment methods, 24-hour recall and observed-weighed food records, have proven impractical for most low- and middle-income countries, leaving nutrition policymakers with a woefully inadequate evidence base and compromising nutrition program effectiveness. OBJECTIVE: To better understand the relative costs of informing food and nutrition policy-making using two different data sources: 24-hour recall survey data and Household Consumption and Expenditures Survey (HCES) data. METHODS: A comparative analysis of the costs of designing, implementing, and analyzing a 24-hour recall survey and the cost of secondary analysis of HCES data. RESULTS: The cost of conducting a 24-hour recall survey with a sample of the size typical of HCES would be roughly 75 times higher than the cost of analyzing the HCES data. CONCLUSIONS: Although the 24-hour recall method is undoubtedly more precise, it has become self-evident that the practical choice for most countries is not between these two surveys, but between having data from less precise, but much more readily available and affordable HCES or having no nationally representative data. In the light of growing concerns about inappropriate fortification policies developed without data, there is an urgent need to begin working to strengthen HCES to provide more precise food and nutrition data. The best way forward is not likely to rest with one data source or another, but with the development of an eclectic approach that exploits the strengths and weaknesses of alternative surveys and uses them to complement one another.

A comparison of the cost of generic and branded food products in Australian supermarkets.

OBJECTIVE: Food cost is an important factor influencing the consumption of nutritious foods and subsequent chronic disease risk. The present study compared the cost of branded food products with their generic equivalents across a range of food categories. SETTING: The survey was conducted within two major supermarket chains across six locations in Sydney, Australia (n 12). DESIGN: Price differences were calculated for 'core' (nutrient dense and low in energy) and 'extra' (high in undesirable nutrients and/or energy) packaged foods (n 22) between generic and branded items. RESULTS: A cost saving of 44 % was found by purchasing generic over branded products across all food categories. The most significant savings were for core foods, such as bread and cereals, and the smallest cost savings were seen for fruit products. There was little variation in cost saving between branded and generic products by socio-economic status of the supermarket location. CONCLUSIONS: The large price differential between branded and generic food products implies that consumers, particularly those on lower incomes, could benefit financially from purchasing generic items. The promotion of core generic products may be an effective strategy to assist people on lower incomes to meet dietary guidelines.

"Quicker and sicker" under Medicare's prospective payment system for hospitals: new evidence on an old issue from a national longitudinal survey.

Medicare's prospective payment system for hospitals (PPS), introduced in the USA in 1983, replaced cost reimbursement with a system of fixed rates which created incentives for hospitals to control costs. Previous studies found that elderly patients were discharged from hospital "quicker and sicker" under PPS and concluded that families were coping at home. We analyse a national longitudinal survey, the first National Health and Nutrition Examination Survey and its Epidemiologic Followup Study, which includes data on more outcomes over a longer period than earlier studies. We find that the rate of admission to nursing homes from the community in the first weeks after a hospital discharge more than tripled under PPS, suggesting that families were not always able to cope. As another response to sicker patients, discharges directly to nursing homes from hospitals, which jumped initially under PPS, may have risen further when payment rates were tightened in the early 1990s. Hospital readmissions fell after the first few years. Our findings are strengthened by the fact that we control for patients' health using health information collected independently of hospital admission.