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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., Author(s): Yujin Lee 1,*, Dariush Mozaffarian 1, Stephen Sy 2, Yue Huang 1, Junxiu Liu 1, Parke E. Wilde 1, Shafika Abrahams-Gessel 2, Thiago de Souza Veiga Jardim 2,3, Thomas [...]

Objectives. We investigated Cambodian refugee women's past food experiences and the relationship between those experiences and current food beliefs, dietary practices, and weight status. Methods. Focus group participants (n=11) described past food experiences and current health-related food beliefs and behaviors. We randomly selected survey participants (n=133) from a comprehensive list of Cambodian households in Lowell, Massachusetts. We collected height, weight, 24-hour dietary recall, food beliefs, past food experience, and demographic information. We constructed a measure of past food deprivation from focus group and survey responses. We analyzed data with multivariate logistic and linear regression models. Results. Participants experienced severe past food deprivation and insecurity. Those with higher past food-deprivation scores were more likely to currently report eating meat with fat (odds ratio [OR]=1.14 for every point increase on the 9-to-27-point food-deprivation measure), and to be overweight or obese by Centers for Disease Control and Prevention (OR=1.28) and World Health Organization (OR=1.18) standards. Conclusions. Refugees who experienced extensive food deprivation or insecurity may be more likely to engage in unhealthful eating practices and to be overweight or obese than are those who experienced less-extreme food deprivation or insecurity. (Am J Public Health. 2010;100:1930-1937. doi: 10.2105/AJPH.2009.175869)

The federal government has estimated the prevalence of household 'food insecurity' and 'food insecurity with hunger' since 1995. Early observers believed that the new measure could be used to assess and improve the Food Stamp Program (FSP). Ten years of research have tempered the initial optimism. The prevalence of food insecurity with hunger (12.3% of all low-income households in 2004) is much higher among food stamp participant households (18.6% in 2004) than among low-income nonparticipant households (10.1% in 2004), due to strong self-selection effects. Households facing greater hardship are more likely to join the program. This article reviews 6 types of nonexperimental research designs that have been used to address the self-selection problem. The results have been inconclusive and the authors have warned against drawing causal inferences from their research. Ethical random-assignment research designs may be required to satisfy the intense policy interest in measuring the antihunger impact of the FSP. The most promising ethical research designs would test the effects of offering eligibility to households that are currently ineligible or offering increased benefits to households that are currently eligible for small benefit amounts.

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.jada.2006.08.019 Byline: Xiang Gao, Parke E. Wilde, Alice H. Lichtenstein, Katherine L. Tucker Abstract: In the United States, >50% of dietary calcium is provided by milk and milk products. Calcium intakes in the United States are inadequate for many children, and a large proportion do not drink milk or consume dairy products. However, no studies have addressed whether dairy-free diets can provide adequate calcium while meeting other nutrient recommendations.

This paper hypothesizes that there is a common 'core' to the household food insecurity experience that goes beyond insufficient food quantity and that transcends culture. The paper for the first time employs an exploratory approach to identify cross-cultural commonalities of the food insecurity experience as captured in 22 scales and related ethnographies derived from 15 different countries. The constant comparative method was used to code elements of the food insecurity experience expressed in the ethnographies and to regroup them into domains and subdomains. This typology was then applied to ascertain which experiential domains and subdomains were measured (or not) across all 22 studies. Survey data from 11 of the studies were then analyzed to assess similarities in the relative frequency with which culturally diverse households responded to questionnaire items related to these common domains/subdomains. The analysis confirmed that insufficient food quantity, inadequate food quality, and uncertainty and worry about food were a significant part of the food insecurity experience in all sampled cultures; concerns about social unacceptability emerged in all ethnographic accounts. Several subdomains were identified, such as concern over food safety and meal pattern disruption, with potentially important consequences for physical and psychological well-being. The comparative survey data showed that the relative frequency at which populations responded to domain-related questionnaire items was similar across all but a few cultures. Future food insecurity assessments should consider these core domains and subdomains as the starting point for measures that can generate rich information to inform food security policies and programs. KEY WORDS: * food insecurity * evaluation * meta-analysis * qualitative * indicators

This paper compares a qualitative and a quantitative (Rasch) method of item assessment for developing the content of a food insecurity scale for Bangladesh. Data are derived from the Bangladesh Food Insecurity Measurement and Validation Study, in which researchers collected 2 rounds of ethnographic information and 3 rounds of conventional household survey data between 2001 and 2003. The qualitative method of scale development relied on content experts and respondents themselves to evaluate household food insecurity items generated through ethnographic research. The quantitative method applied the Rasch model to assess the fit of the same items using representative survey data. The Rasch model was then used to test for differential item functioning (DIF) across diverse demographic and geographic subgroups. The qualitative assessment flagged and discarded 10 items, leaving 13. The Rasch assessment of infit and outfit flagged 3 items, and the Rasch DIF test discarded another 10 items, leaving a total of 10 items in the Rasch-derived scale. The 2 scales contained 8 of the same items. The qualitatively and quantitatively derived scales were highly correlated (r = 0.96, P < 0.01), and the 2 methods located 90% of households in the same food insecurity tercile. This convergence lends added confidence to the use of either scale for identifying food-insecure households in different regions of Bangladesh. Multiple methods should continue to be applied in a systematic and transparent way to lend additional credence to the results when they converge and to pinpoint directions for further clarification where they do not. KEY WORDS: * food insecurity * mixed-methods * Bangladesh * qualitative methods * quantitative methods

This study examined the relation between household food security status and current measured weight and change in self-reported weight over 12 mo using data from the 1999-2000 and 2001-2002 National Health and Nutrition Examination Surveys. Current measured BMI categories were as follows: underweight ( KEY WORDS: * food security * weight change * weight status * obesity

The USDA issued the Food Guide Pyramid(FGP) to help Americans choose healthy diets. We examined whether adherence to the 1992 and 2005 FGP was associated with moderate energy and adequate nutrient intakes. We used data for 2138 men and 2213 women > 18 y old, from the 2001-2002 U.S. National Health and Nutrition Examination Survey (NHANES). Quadratic programming was used to generate diets with minimal departure from intakes reported for the NHANES 2001-02. We examined the effect of the number of servings/d of Food Pyramid groups set at 1992 and at 2005 FGP recommendations for 1600, 2200, and 2800 kcal (1 kcal = 4.184 kJ) levels. We calculated energy and nutrients provided by different FGP dietary patterns. Within current U.S. dietary practices, following the 1992 FGP without sodium restriction may provide 200 more kcal than recommended for each energy level. Although it can meet most of old nutrient recommendations (1989), it fails to meet the latest dietary reference intakes, especially for the 1600 kcal level. The 2005 FGP appears to provide less energy and more adequate nutrient intakes, with the exception of vitamin E and potassium for some groups. However, without discretionary energy restriction, Americans are at risk of having excessive energy intake even if they follow the 2005 FGP food serving recommendations. Our analysis suggests that following the 2005 FGP may be associated with lower energy and optimal nutrient intake. Careful restriction of discretionary calories appears necessary for appropriate energy intakes to be maintained. KEY WORDS: * USDA food guide pyramid * energy * optimization programming * dietary reference intake * dietary pattern

The current study was designed to determine the maximal amount of [alpha]-tocopherol intake obtained from food in the U.S. diet, and to examine the effect of different food group intakes on this amount. Data from 2138 men and 2213 women aged >18 y were obtained from the National Health and Nutrition Examination Survey (NHANES) 2001-2002. Linear programming was used to generate diets with maximal [alpha]- tocopherol intake, with the conditions of meeting the recommended daily allowances or adequate intakes for a set of nutrients, sodium and fat recommendations, and energy limits, and that were compatible with the observed dietary patterns in the population. With food use and energy constraints in models, diets formulated by linear programming provided 19.3-24.9 mg [alpha]-tocopherol for men and women aged 19-50 or >50 y. These amounts decreased to 15.4-19.9 mg with the addition of the sodium, dietary reference intake, and fat constraints. The relations between maximal [alpha]-tocopherol intake and food group intakes were influenced by total fat restrictions. Although meeting current recommendations (15 mg/d) appears feasible for individuals, dramatic dietary changes that include greater intakes of nuts and seeds, and fruit and vegetables, are needed. Careful selection of the highest vitamin E source foods within these groups could further increase the likelihood of meeting the current recommended daily allowance. KEY WORDS: * linear programming * [alpha]-tocopherol * Dietary Reference intakes * dietary pattern

To produce national prevalence estimates for 'food insecurity' and 'food insecurity with hunger,' the USDA uses a battery of 18 survey items about symptoms of food-related hardship. Ten items refer to adults in the household, while 8 items refer to children in the household and hence are not asked of households without children. To equate food-security status in households with and without children, the USDA uses a statistical model from item response theory, known as the Rasch model. This model requires an assumption that adult-referenced items have the same severity calibrations for all households, including households with and without children. However, empirical estimates from the 2000 Current Population Survey showed significantly different severity calibrations for households with and without children. These differences have implications for observable response patterns. Holding constant the number of affirmative responses to adult-referenced items, households with children were more likely to respond that they 'worried food would run out,' and households without children were more likely to be unable to afford 'balanced meals.' In light of such differences, the Rasch model cannot be used to equate the food-security status of households with and without children. One potential solution would be to estimate household food security by using the same battery of adult-referenced survey items for all households. J. Nutr. 134: 1910-1915, 2004. KEY WORDS: * food insecurity * household hunger * Rasch model