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There is growing recognition that precarious employment is an important determinant of health, which may increase BMI through multiple mechanisms, including stress. It was investigated whether increases in precarious employment were associated with changes in BMI in the United States.Data were from the National Longitudinal Survey of Youth adult cohort (1996-2016) (N = 7280). Thirteen indicators were identified to operationalize seven dimensions of precarious employment (range: 0-7, 7 indicating most precarious): material rewards, working-time arrangements, stability, workers' rights, collective organization, interpersonal relationships, and training. The precarious employment-BMI association was estimated using linear regression models and an instrumental variables approach; state- and individual-level firm sizes were the instruments for precarious employment. Models also included individual and year fixed effects and controlled for age, marital status, education, region, and industry.The average precarious employment score (PES) was 3.49 (95% CI: 3.46-3.52). The PES was the highest among Hispanic (4.04; 95% CI: 3.92-4.15) and non-Hispanic Black (4.02; 95% CI: 3.92-4.12) women with lower education. A 1-point increase in the PES was associated with a 2.18-point increase in BMI (95% CI: 0.30-4.01).Given that even small changes in weight affect chronic disease risk, policies to improve employment quality warrant consideration.

Objective:Lower-income older adults with multiple chronic conditions (MCC) are highly vulnerable to food insecurity. However, few studies have considered how health care access is related to food insecurity among older adults with MCC. The aims of this study were to examine associations between MCC and food insecurity, and, among older adults with MCC, between health care access and food insecurity.Design:Cross-sectional study data from the 2019 Behavioral Risk Factor Surveillance System survey.Setting:Washington State, USA.Participants:Lower-income adults, aged 50 years or older (n 2118). MCC was defined as having ≥ 2 of 11 possible conditions. Health care access comprised three variables (unable to afford seeing the doctor, no health care coverage and not having a primary care provider (PCP)). Food insecurity was defined as buying food that did not last and not having money to get more.Results:The overall prevalence of food insecurity was 26·0 % and was 1·50 times greater (95 % CI 1·16, 1·95) among participants with MCC compared to those without MCC. Among those with MCC (n 1580), inability to afford seeing a doctor was associated with food insecurity (prevalence ratio (PR) 1·83; 95 % CI 1·46, 2·28), but not having health insurance (PR 1·49; 95 % CI 0·98, 2·24) and not having a PCP (PR 1·10; 95 % CI 0·77, 1·57) were not.Conclusions:Inability to afford healthcare is related to food insecurity among older adults with MCC. Future work should focus on collecting longitudinal data that can clarify the temporal relationship between MCC and food insecurity.

Determine the association between socioeconomic status and self-reported noticing and using calorie menu labels in 2 states with high poverty and obesity.Cross-sectional study of responses to the 2016 Behavioral Risk Factor Surveillance System Menu Labeling Module.Representative sample of noninstitutionalized adults aged ≥ 18 years in West Virginia and Mississippi (n = 9,469).The outcomes were reported noticing and using menu labels to make decisions at fast-food restaurants. Independent variables were highest attained education and federal poverty level (% FPL).Generalized linear models estimated prevalence ratios for noticing and using menu labels. Models mutually adjusted for education, % FPL, age, sex, race/ethnicity, and body mass index.Eighty-six percent of respondents reported noticing, and 56% reported using menu labels. Compared with individuals with less than high school education, college graduates were 11% more likely to report noticing (95% confidence interval, 1.06-1.18; P0.001) and 18% more likely to report using (95% confidence interval, 1.06-1.30; P0.01) menu labels. Patterns were similar for % FPL.These data support further investigation of menu labels among subgroups and a larger geographic scope. Limitations of the menu labeling module question and the cross-sectional nature of the existing literature warrant additional research.

Unequal access to healthy food in the local food retail environment contributes to diet quality disparities. We assessed whether in-store availability and prices of healthy foods differ by neighborhood-level income and racial and ethnic composition in a representative sample of food stores in Seattle, Washington.We developed and validated an in-store survey tool and surveyed 134 stores. We measured availability and prices of 19 items. For each store, we calculated a healthy food availability score (range, 0-25), and mean prices within each category. Using census tract data, we identified the median household income and proportions of Black and Hispanic residents for each store's neighborhood and grouped them by tertiles of these neighborhood characteristics across Seattle census tracts. We used Wald tests to compare mean availability scores and prices between tertiles and applied postestimation weights to reflect store-type distributions within each tertile.Neighborhoods with lower income and a larger proportion of Black residents had lower healthy food availability scores compared with neighborhoods with higher income (8.06 [95% CI, 7.04-9.07] vs 12.40 [95% CI, 10.63-14.17], P.001) and fewer Black residents (8.88 [95% CI, 7.79-9.98] vs 12.32 [95% CI, 10.51-14.14], P = .003). Availability did not differ by Hispanic population proportions. Mean prices of grains, eggs, and meat were lower in neighborhoods with larger proportions of Black residents.We found systematic differences in healthy food availability based on neighborhood-level income and racial composition. In-store assessments of the food retail environment can inform local, tailored strategies to improve healthy food access.

Background Complete Eats Rx is a fruit and vegetable prescription program designed to incentivize fruit and vegetable consumption among Supplemental Nutrition Assistance Program (SNAP) participants via $10 incentives distributed either weekly or per encounter to purchase fruits and vegetables at a mid-price supermarket chain in Washington State. Objective To better understand SNAP participants’ experience, and to determine perceived impacts and consequences of the program. Design Qualitative analysis of nine photovoice sessions. Participants chose the topics for discussion. Sessions were audiorecorded and transcribed. Thematic content analysis was performed to identify key emergent themes using Atlas.ti. Setting Spokane, Seattle, and Yakima, Washington. Participants Twenty-six individuals who received a fruit and vegetable prescription within the past 6 months, 23 of whom attended all three photovoice sessions offered at their site. Participants were recruited from three participating health care or public health organizations in Spokane, Seattle, and Yakima, Washington. Analysis Transcriptions were coded using inductive methods. Coded statements were organized into major themes. Coding structures and analysis were strengthened by iterative interactions between researchers. Results Participants reported Complete Eats Rx was an important resource for families and improved food security, diet quality, and the ability to purchase healthy foods, including a greater variety of fruits and vegetables. Primary barriers to food security and fruit and vegetable consumption included limited geographic accessibility and the high cost of fruits and vegetables, exacerbated by other financial constraints such as rising housing costs. Participants reported supermarket checkout difficulty because of embarrassment, stigmatization, and inability to redeem incentives. The most frequently mentioned barrier to perceived program acceptability was having only one supermarket chain as the acceptor of the incentive. Conclusion Partnering with supermarkets to accept fruit and vegetable incentives is a unique strategy to increase produce purchasing that can be adopted by other localities. Focus on geographic accessibility, appropriate price points, and positive shopping experiences via expansion to local grocers, improvements in staff interactions, and a transition to an electronic system may improve incentive redemption and usability.

BACKGROUND: High obesity rates among young black and Hispanic children place them at a higher risk for adult obesity and its co-morbidities. Neighborhoods with predominately racial and ethnic minority residents have fewer healthful food options, which may contribute to obesity disparities. Yet few studies have assessed the relationship between neighborhood food environments and obesity in this population. METHODS: Electronic health records from two pediatric primary care clinics serving predominately low-income, black and Hispanic children were used to create a cohort of 3,724 2-5 year-olds, encompassing 7,256 visits from 2007 to 2012 (mean 1.9 visits per patient, range: 1-5 visits per child). Longitudinal regression was used to model the association of mean body mass index z-score (BMI-z) over time and 3 measures of the neighborhood food environment: healthful food availability, availability of stores accepting the Special Supplemental Nutrition Program for Women, Infants and Children (WIC) benefits, and fast food availability. RESULTS: Compared to peers in neighborhoods with no or few stores accepting WIC, children in neighborhoods with many WIC stores had higher BMI-z at age 2 years (average difference of 0.272 95% CI 0.041 – 0.503; p=0.021). No relationship was found for healthful food or fast food availability. Although children in neighborhoods with low fast food availability did not have statistically significantly different BMI-z at age 2 as compared to children in areas with high fast food availability, they did have a statistically significantly higher change in average BMI-z over time (0.006 per month, 0.000 – 0.012, p=0.024). CONCLUSIONS: Access to WIC stores was associated with lower obesity rates and more healthful average BMI-z over time and represents a potentially important neighborhood food environment characteristic influencing racial/ethnic disparities in childhood obesity among young black and Hispanic children. More studies are needed to assess what aspects of WIC stores may underlie the observed association. WHAT’S NEW: Access to WIC stores represents a potentially important neighborhood food environment characteristic influencing racial and ethnic disparities in childhood obesity among young black and Hispanic children.

Policy makers in several major cities have used quantitative data about local food environments to identify neighborhoods with inadequate access to healthy food. We conducted qualitative interviews with residents of a healthy food priority area to assess whether residents’ perceptions of food access were consistent with previous quantitative findings, and to better understand lived experience of food access. We found that proximity to stores, transportation mode, and cost shaped decisions about food shopping. The local food bank played an important role in improving food access. Participants had varied suggestions for ways to improve the neighborhood, both related and unrelated to the food environment.

Obesity is a major health problem, increasing the risk of various major chronic diseases, such as diabetes, cancer, and stroke. While the role of obesity identified by cross-sectional BMI recordings has been heavily studied, the role of BMI trajectories is much less explored. In this study, we use a machine-learning approach to subtype individuals' risk of developing 18 major chronic diseases by using their BMI trajectories extracted from a large and geographically diverse EHR dataset capturing the health status of around two million individuals for a period of six years. We define nine new interpretable and evidence-based variables based on the BMI trajectories to cluster the patients into subgroups using the k-means clustering method. We thoroughly review each cluster's characteristics in terms of demographic, socioeconomic, and physiological measurement variables to specify the distinct properties of the patients in the clusters. In our experiments, the direct relationship of obesity with diabetes, hypertension, Alzheimer's, and dementia has been re-established and distinct clusters with specific characteristics for several of the chronic diseases have been found to be conforming or complementary to the existing body of knowledge., https://ieeexplore.ieee.org/document/10018864

Objective: To evaluate the impact of a youth-led nutrition intervention on youth-leaders themselves Design: Mixed methods, including: in-depth interviews and a quasi-experimental quantitative study comparing youth-leaders and nonparticipant comparison youth Analysis: Qualitative analysis using direct content analysis. Difference-in-differences analyses assessing quantitative program impact. Results: Youth-leaders perceived that the intervention impacted themselves, the youth-participants, and their respective social networks. Youth-leaders experienced greater increases in intentions to eat healthfully (p = .04), and greater decreases in support for healthy eating from their friends (p = .01), than the comparison group. Conclusions/Implications: Youth-leaders reported multiple levels of intervention impact, and increased intentions for healthy eating; however, additional research is needed to enhance impact on behavioral outcomes.

Previous studies about obesity and its associated factors in low- and middle-income countries have been based mostly on women of reproductive age. Furthermore, disproportionally changing BMI distributions have been a challenge for its appropriate modeling. In this context, we assessed the magnitude and rate of change in BMI distribution by socioeconomic and geographic factors in both sexes in Latin American countries, modeling the shape of BMI distributions. We used data from national surveys conducted in Mexico, Colombia, and Peru at two time points between 2005 and 2013 (N = 57,414, 13,5403, and 30,811, respectively). We estimated shapes of BMI distributions for 2005 and 2010, and assessed their changes, using the generalized additive model for location, scale, and shape (GAMLSS), in which BMI was assumed to follow a Box-Cox Power Exponential (BCPE) distribution. In all the three countries, higher education was negatively associated with BMI in women but somewhat positive in men; and household wealth was positively associated in men but not in women. Lower household wealth was associated with higher rates of change in BMI distributions in women. Education and household wealth were associated with BMI distributions and their change over time. Observed sex differences in these associations have implications for designing relevant policies and programs to approach target populations effectively. The BCPE-GAMLSS method can provide a useful visual assessment of time-varying measures.

Introduction Excess sugar consumption is linked to several mental health conditions. Sugar-sweetened beverages (SSBs) and 100% fruit juice contain similar amounts of sugar per serving, yet prior studies examining sugary beverages and mental health are limited to SSBs. Of those, few have assessed potential modifiers such as sex. Methods We examined the association between daily consumption of fruit juice and SSBs with poor mental health by using data from the 2017 Behavioral Risk Factor Surveillance System. We used Poisson regression models with clustered-robust standard errors to measure the association between SSB and fruit juice consumption (none, >0 to 0 to

Objective: Since January 2010, the U.S. has experienced economic recovery, including a 39% increase in home prices nationally. While higher home prices represent a wealth increase for some homeowners, it may decrease real purchasing power for others. The objective of this study is to examine the relationship between local area housing values and consumption of four food categories. Design: Observational study using data from the Behavioral Risk Factor Surveillance System between 2011 and 2015. Outcomes included number of times per week food was consumed and binary measures denoting consumption &ge, 2 times per day for four categories: vegetables, fruit, legumes and fruit juice. The primary explanatory variables were metropolitan/micropolitan statistical area home and rental price indices from Zillow. Differential associations by home ownership, age, race/ethnicity and education were examined. Results: Overall, housing values were not associated with intake of vegetables or fruit juice. Among homeowners, a $10,000 increase in home price was associated with small, but statistically significant reductions in fruit and legume consumption. These inverse associations were pronounced among Hispanic and non-Hispanic Black adults. Conclusions: Lower fruit and legume consumption associated with greater housing values may represent one of several explanations including a decrease in purchasing power, given increases in home prices and limited wage growth since 2010.

Seattle's Sweetened Beverage Tax is an excise tax of 1.75 cents per ounce on sugar-sweetened beverages and is one of the highest beverage taxes in the U.S. This study examined the impact of Seattle's tax on the prices of beverages. We conducted audits of 407 retail food stores and eating places (quick service restaurants and coffee shops) before and 6 months after the tax was implemented in Seattle and in a comparison area. Ordinary least squares difference-in-differences models with store fixed effects were used to estimate the effect of the tax on prices, stratified by beverage type and store type. In secondary analyses, we assessed the effect of the tax on the price of non-taxed beverages and foods. Results from the adjusted difference-in-differences models indicated the tax was associated with an average increase of 1.58 cents per ounce among Seattle retailers, representing 90 % of the price of the tax. By store type, price increases were highest in smaller grocery stores and drug stores. By beverage type, price increases were highest for energy beverages and soda and lowest for bottled coffee and juice drinks. Prices of some non-taxed beverages also increased while the prices of select healthy foods generally did not. The sweetened beverage tax in Seattle is higher than beverage taxes in most other cities, and nearly the full cost of the tax is being passed through to consumers for many beverage types and stores types.

Background Several studies have suggested that record high unemployment during the Great Recession was associated with deleterious changes in diet and weight-related health. However, studies have yet to explore whether the Great Recession was also associated with obesity-related health in utero. Methods We investigated whether increasing county-level unemployment was associated with large-for-gestational age (LGA) births, using repeated cross-sectional data from California birth records between 2008 and 2011 (n = 1,715,052). LGA was defined as >90th percentile, using the Oken reference. We use the annual 1-year lagged value for county-level unemployment (2007-2010) and limit our analyses to singleton, term births. Linear probability models, with county and year fixed-effects were used to examine the unemployment-LGA association. All models control for county-level foreclosure rates, child gender, and maternal age, parity, education, and race/ethnicity. Results An increase in county-level unemployment was not statistically significantly associated with the prevalence of LGA (percentage point [PP]: 0.12; 95% CI: -0.02, 0.25). But, over the period of observation, for every one standard deviation increase in unemployment, LGA prevalence increased by 5% and p = 0.08. Conclusions These results cautiously suggest some deleterious effects of the Great Recession on obesity-related health in utero.

Sweetened beverage taxes are associated with significant reductions in the purchase of sweetened beverages. However, it is unclear whether these taxes play a role in shifting perceptions about sweetened beverages and their health impacts. We utilized pre- and post-tax survey data collected from residents in Seattle, WA, a city that implemented a sweetened beverage tax in 2018 and from residents in an untaxed comparison area. We used income-stratified difference-in-difference linear probability models to compare net changes in the perceived healthfulness of overall sweetened beverage consumption and of different types of sugary beverages over time and across income groups. We found significant increases in the percentage of Seattle respondents with lower incomes who agreed that sweetened beverage consumption raises the risk of diabetes (DD = 9 percentage points (pp) (95% CI: 5 pp, 13 pp); p = 0.002), heart disease (DD = 7 pp (95% CI: 2 pp, 12 pp); p = 0.017), and serious health problems (DD = 12 pp (95% CI: 5 pp, 19 pp); p = 0.009), above and beyond changes in the comparison area. The most prominent changes in perceived health impacts of sweetened beverages were found among lower-income Seattle respondents, while fewer changes were found among higher-income Seattle respondents. Future work could examine the relationship between exposure to pro-tax messaging and changes in consumer perceptions of sweetened beverages.

This study explores the association between neighborhood social and economic change from 2009 to 2013 and changes in the retail food environment from 2013 to 2017 in Madrid (Spain). We classified neighborhoods into four types: decreasing SES, new housing/gentrifying, increasing SES, and aging (population and housing). Food store data was obtained from a retail spaces census and classified as supermarket, specialized small store, or fruit and vegetable store. Compared to aging areas, new housing/gentrifying and areas with increasing SES had a higher baseline presence and proportion of supermarkets and a lower proportion of specialized stores and fruit and vegetable stores. Areas with decreasing SES had an initially higher presence and proportion of fruit and vegetable stores but showed a declining trend in both presence and proportion of fruit and vegetable stores.

Background Maternal employment has increased in low-and middle-income countries (LMIC) and is a hypothesized risk factor for maternal overweight due to increased income and behavioral changes related to time allocation. However, few studies have investigated this relationship in LMIC. Methods Using cross-sectional samples from Demographic and Health Surveys, we investigated the association between maternal employment and overweight (body mass index [BMI] ≥ 25 kg/m2) among women in 38 LMIC (N = 162,768). We categorized mothers as formally employed, informally employed, or non-employed based on 4 indicators: employment status in the last 12 months; aggregate occupation category (skilled, unskilled); type of earnings (cash only, cash and in-kind, in-kind only, unpaid); and seasonality of employment (all year, seasonal/occasional employment). Formally employed women were largely employed year-round in skilled occupations and earned a wage (e.g. professional), whereas informally employed women were often irregularly employed in unskilled occupations and in some cases, were paid in-kind (e.g. domestic work). For within-country analyses, we used adjusted logistic regression models and included an interaction term to assess heterogeneity in the association by maternal education level. We then used meta-analysis and meta-regression to explore differences in the associations pooled across countries. Results Compared to non-employed mothers, formally employed mothers had higher odds of overweight (pooled odds ratio [POR] = 1.3; 95% Confidence Interval [CI] 1.2, 1.4) whereas informally employed mothers, compared to non-employed mothers, had lower odds of overweight (POR = 0.72; 95% CI: 0.64, 0.81). In 14 LMIC, the association varied by education. In these countries, the magnitude of the formal employment-overweight association was larger for women with low education (POR = 1.5; 95% CI: 1.1, 1.9) compared to those with high education (POR = 1.2; 95% CI: 1.0, 1.3). Conclusions Formally employed mothers in LMIC have higher odds of overweight and the association varies by educational attainment in 14 countries. This knowledge highlights the importance of workplace initiatives to reduce the risk of overweight among working women in LMIC. Electronic supplementary material The online version of this article (doi:10.1186/s12966-017-0522-y) contains supplementary material, which is available to authorized users.

ObjectiveTo investigate the association between maternal employment and childhood overweight in low- and middle-income countries (LMIC).Design/SettingWe utilized cross-sectional data from forty-five Demographic and Health Surveys from 2010 to 2016 (n268 763). Mothers were categorized as formally employed, informally employed or non-employed. We used country-specific logistic regression models to investigate the association between maternal employment and childhood overweight (BMIZ-score>2) and assessed heterogeneity in the association by maternal education with the inclusion of an interaction term. We used meta-analysis to pool the associations across countries. Sensitivity analyses included modelling BMIZ-score and normal weight (weight-for-ageZ-score≥−2 to SubjectsParticipants included children 0–5 years old and their mothers (aged 18–49 years).ResultsIn most countries, neither formal nor informal employment was associated with childhood overweight. However, children of employed mothers, compared with children of non-employed mothers, had higher BMIZ-score and higher odds of normal weight. In countries where the association varied by education, children of formally employed women with high education, compared with children of non-employed women with high education, had higher odds of overweight (pooled OR=1·2; 95 % CI 1·0, 1·4).ConclusionsWe find no clear association between employment and child overweight. However, maternal employment is associated with a modestly higher BMIZ-score and normal weight, suggesting that employment is currently associated with beneficial effects on children’s weight status in most LMIC.

Childhood obesity rates in Latin America are among the highest in the world. This paper examines and evaluates the many efforts underway in the region to reduce and prevent further increases in obesity, identifies and discusses unique research challenges and opportunities in Latin America, and proposes a research agenda in Latin America for the prevention of childhood obesity and concomitant non-communicable diseases. Identified research gaps include biological challenges to healthy growth across the life cycle, diet and physical activity dynamics, community interventions promoting healthy child growth, and rigorous evaluation of national food and activity programs and regulatory actions. Addressing these research gaps is critical to advance the evidence-based policy and practice in childhood obesity tailored to the Latin American context that will be effective in addressing obesity.

Background Diet and activity are thought to worsen with urbanization, thereby increasing risk of obesity and chronic diseases. A better understanding of dietary and activity patterns across the urbanization divide may help identify pathways, and therefore intervention targets, leading to the epidemic of overweight seen in low- and middle-income populations. Therefore, we sought to characterize diet and activity in a population-based study of urban and rural residents in Puno, Peru. Methods We compared diet and activity in 1005 (503 urban, 502 rural) participants via a lifestyle questionnaire. We then recruited an age- and sex-stratified random sample of 50 (25 urban, 25 rural) participants to further characterize diet and activity. Among these participants, diet composition and macronutrient intake was assessed by three non-consecutive 24-h dietary recalls and physical activity was assessed using Omron JH-720itc pedometers. Results Among 1005 participants, we found that urban residents consumed protein-rich foods, refined grains, sugary items, and fresh produce more frequently than rural residents. Among the 50 subsample participants, urban dwellers consumed more protein (47 vs. 39 g; p = 0.05), more carbohydrates (280 vs. 220 g; p = 0.03), more sugary foods (98 vs. 48 g, p = 0.02) and had greater dietary diversity (6.4 vs 5.8; p = 0.04). Rural subsample participants consumed more added salt (3.1 vs 1.7 g, p = 0.006) and tended to consume more vegetable oil. As estimated by pedometers, urban subsample participants burned fewer calories per day (191 vs 270 kcal, p = 0.03). Conclusions Although urbanization is typically thought to increase consumption of fat, sugar and salt, our 24-h recall results were mixed and showed lower levels of obesity in rural Puno were not necessarily indicative of nutritionally-balanced diets. All subsample participants had relatively traditional lifestyles (low fat intake, limited consumption of processed foods and frequent walking) that may play a role in chronic disease outcomes in this region.

Background A small number of studies have used a natural experiment approach to examine the health impacts of increased economic resources stemming from Native American-owned casinos. We build on this work by examining whether casinos are associated with obesity-related health in utero. Methods We examined whether casino openings or expansion (as proxy for increased economic resources) are associated with a decreased likelihood of infants being born large-for-gestational-age (LGA), an important risk factor for childhood overweight/obesity. We used repeated cross-sectional data from California birth records (1987-2011) to assess the prevalence of LGA births among Native Americans (n = 21 011). Using zip code fixed-effect regression models, we compared how prevalence of LGA births changed in association with casino openings or expansions, while controlling for secular trends through the inclusion of a comparison group of Native American newborns in zip codes that were eligible to open or expand casinos, but did not do so. In sensitivity analyses, we evaluated whether there was any change in small-for-gestational-age births (SGA). Results Average prevalence of LGA births over the period was 11%. Every one slot machine per capita increase was associated with a 0.13 percentage point decrease (95% confidence interval: -0.25, -0.01) in the prevalence of LGA births but was not associated with SGA prevalence. Conclusions Casino expansion in California is associated with a lower prevalence of LGA births. Interpreted in combination with previous work showing that California casino expansions were associated with a lower body mass index (BMI) among schoolchildren, these results suggest that casinos are associated with improvement in a surrogate marker of excess adiposity. Further studies are needed to elucidate the mechanisms by which casinos might be associated with obesity-related health outcomes among Native Americans.

ObjectiveSmall food store interventions show promise to increase healthy food access in under-resourced areas. However, none have tested the impact of price discounts on healthy food supply and demand. We tested the impact of store-directed price discounts and communications strategies, separately and combined, on the stocking, sales and prices of healthier foods and on storeowner psychosocial factors.DesignFactorial design randomized controlled trial.SettingTwenty-four corner stores in low-income neighbourhoods of Baltimore City, MD, USA.SubjectsStores were randomized to pricing intervention, communications intervention, combined pricing and communications intervention, or control. Stores that received the pricing intervention were given a 10–30 % price discount by wholesalers on selected healthier food items during the 6-month trial. Communications stores received visual and interactive materials to promote healthy items, including signage, taste tests and refrigerators.ResultsAll interventions showed significantly increased stock of promoted foodsv. control. There was a significant treatment effect for daily unit sales of healthy snacks (β=6·4, 95 % CI 0·9, 11·9) and prices of healthy staple foods (β=–0·49, 95 % CI –0·90, –0·03) for the combined groupv. control, but not for other intervention groups. There were no significant intervention effects on storeowner psychosocial factors.ConclusionsAll interventions led to increased stock of healthier foods. The combined intervention was effective in increasing sales of healthier snacks, even though discounts on snacks were not passed to the consumer. Experimental research in small stores is needed to understand the mechanisms by which store-directed price promotions can increase healthy food supply and demand.

Social desirability bias has been documented in self-reported diet as well as in voting behavior, but not in regards to sweetened beverage consumption or sweetened beverage taxes. We find evidence that respondents in a mixed-mode opinion survey exhibit social desirability bias in both reported sweetened beverage consumption and beliefs about the health and economic benefits of sweetened beverage taxes. We do so in a study of 1,704 adults residing in Seattle, Minneapolis, and the D.C. metro area. Phone respondents in our survey under-report sweetened beverage consumption by 0.63 beverages per week relative to web respondents (average web respondent consumption is 3.55 beverages per week). They also over-report their beliefs about the positive health and economic impacts of sweetened beverage taxes by 0.54 points in an 18-point index (average web respondent index score is 2.79). These differences are measured after we control for selection into survey mode by using matching methods, and we interpret them as occurring due to social desirability bias. In contrast to these findings, there is no modal difference in respondents’ stated approval of sweetened beverage taxes, and so we conclude that this question is not subject to social desirability bias.

Background The prediction of future obesity patterns is crucial for effective strategic planning. However, disproportionally changing body mass index (BMI) distributions pose particular challenges. Flexible modelling of the shape of BMI distributions may improve prediction performance. Methods We used data from repeated national health surveys conducted in Mexico, Colombia and Peru at four or five time points between 1988 and 2014. Data from all surveys except the last survey were used to construct prediction models for three obesity indicators (median BMI, overweight/obesity prevalence and obesity prevalence) for the time of the last survey. We assessed their performance using predicted curves, absolute prediction errors and comparison of actual and predicted distributions. With one method, we modelled the shape of BMI distributions assuming BMI follows a Box-Cox Power Exponential (BCPE) distribution, whose parameters were modelled as a function of interval or nominal 5-year age groups, time and their interaction terms. In a second method, we modelled each of the obesity indicators directly as a function of the same covariates using quantile and logistic regression. Results The BCPE model with interval age groups yielded the best prediction performance in predicting obesity prevalence. Average absolute prediction errors across all age groups were 4.3 percentage points (95% percentile interval: 1.9, 7.5), 2.5 (1.2, 6.1) and 1.7 (1.0, 9.3), with data from Mexico, Colombia and Peru, respectively. This superiority was weak or none for overweight/obesity prevalence and median BMI. Conclusion The BCPE model performed better for prediction of the extremes of BMI distribution, possibly by incorporating its shape more precisely.

Background Taxes on sugary beverages are an emerging strategy to improve health by reducing consumption and raising revenues to support community wellbeing. However, taxes may have unintended consequences, and perceptions of these consequences may affect attitudes towards this policy. Methods In June 2017, the Seattle City Council passed an ordinance imposing a tax on sugary beverages, effective January 1, 2018. Between October and December 2017, we recruited 851 adults in Seattle to complete a survey (telephone or online) about support for the tax and their perceptions of tax-related health and economic impacts. We first analyzed data for the full sample. We then tested for differences in participants’ responses by household income level (

BACKGROUND The price of food has long been considered one of the major factors that affects food choices. However, the price metric (e.g., the price of food per calorie or the price of food per gram) that individuals predominantly use when making food choices is unclear. Understanding which price metric is used is especially important for studying individuals with severe budget constraints because food price then becomes even more important in food choice. OBJECTIVE We assessed which price metric is used by low-income individuals in deciding what to eat. METHODS With the use of data from NHANES and the USDA Food and Nutrient Database for Dietary Studies, we created an agent-based model that simulated an environment representing the US population, wherein individuals were modeled as agents with a specific weight, age, and income. In our model, agents made dietary food choices while meeting their budget limits with the use of 1 of 3 different metrics for decision making: energy cost (price per calorie), unit price (price per gram), and serving price (price per serving). The food consumption patterns generated by our model were compared to 3 independent data sets. RESULTS The food choice behaviors observed in 2 of the data sets were found to be closest to the simulated dietary patterns generated by the price per calorie metric. The behaviors observed in the third data set were equidistant from the patterns generated by price per calorie and price per serving metrics, whereas results generated by the price per gram metric were further away. CONCLUSIONS Our simulations suggest that dietary food choice based on price per calorie best matches actual consumption patterns and may therefore be the most salient price metric for low-income populations.

ObjectiveSocial relationships can impact youths’ eating and physical activity behaviours; however, the best strategies for intervening in the social environment are unknown. The objectives of the present study were to provide in-depth information on the social roles that youths’ parents and friends play related to eating and physical activity behaviours and to explore the impact of other social relationships on youths’ eating and physical activity behaviours.DesignConvergent parallel mixed-methods design.SettingLow-income, African American, food desert neighbourhoods in Baltimore City, MD, USA.SubjectsData were collected from 297 youths (53 % female, 91 % African American, mean age 12·3 (sd 1·5) years) using structured questionnaires and combined with in-depth interviews from thirty-eight youths (42 % female, 97 % African American, mean age 11·4 (sd 1·5) years) and ten parents (80 % female, 50 % single heads of house, 100 % African American).ResultsCombined interpretation of the results found that parents and caregivers have multiple, dynamic roles influencing youths’ eating and physical activity behaviours, such as creating health-promoting rules, managing the home food environment and serving as a role model for physical activity. Other social relationships have specific, but limited roles. For example, friends served as partners for physical activity, aunts provided exposure to novel food experiences, and teachers and doctors provided information related to eating and physical activity.ConclusionsObesity prevention programmes should consider minority youths’ perceptions of social roles when designing interventions. Specifically, future research is needed to test the effectiveness of intervention strategies that enhance or expand the supportive roles played by social relationships.

Background The recent economic recession represents an opportunity to test whether decreases in economic resources may have deleterious consequences on childhood overweight/obesity risk. Methods We investigated the association between indicators of changing macroeconomic conditions from 2008 to 2012 and overweight/obesity risk among school-aged children in California (n=1 741 712) using longitudinal anthropometric measurements. Multivariate regression, with individual and county fixed effects, was used to examine the effects of annual county-level unemployment and foreclosure rates on risk of child overweight/obesity, overall and among subgroups (race/ethnicity, sex, county-level median household income and county-level urban/rural status). Results From 2008 to 2012, ∼38% of children were overweight/obese and unemployment and foreclosure rates averaged 11% and 6.9%, respectively. A 1-percentage point (pp) increase in unemployment was associated with a 1.4 pp (95% CI 1.3 to 1.5) increase in overweight/obesity risk. Therefore, a child of average weight could expect a 14% increase in their body mass index z-score in association with a 1 pp increase in unemployment during the study period. We found some differences in the magnitude of the effects for unemployment among demographic subgroups, with the largest effects observed for unemployment among American Indians and Pacific Islanders. Conclusions Comparing children to themselves over time, we provide evidence that increases in county-level unemployment are associated with increased overweight/obesity risk. Given that overweight among children with lower economic resources remains a challenge for public health, these findings highlight the importance of policy-level approaches, which aim to mitigate the impact of decreased resources as economic conditions change.

Highlights • We investigate household SES, neighborhood SES and childhood obesity. • Sample was nationally representative of US first graders in 2011. • Both SES variables–household and neighborhood SES–were associated with obesity. • No evidence of greater prevalence of obesity due to low SES on both dimensions. • In low SES neighborhoods, high household SES did not mitigate obesity prevalence. • In low SES households, high neighborhood SES did not mitigate obesity prevalence., Both low family socioeconomic status (SES) and low neighborhood SES have been associated with higher levels of childhood obesity. However, little is known about how these two factors operate together. The purpose of this study was to determine if the association between neighborhood SES and obesity varies across household SES. We used the first-grade round of the Early Childhood Longitudinal Study, Kindergarten Class of 2011 (ECLS-K:2011). Household SES was defined based on income, education, and occupation. Neighborhood SES was defined by the percent of households living in poverty in the child’s school district. Log-binomial regression models estimated the association between neighborhood SES and obesity and tested whether this association varied by household SES. We found the association between neighborhood SES and obesity varied significantly by household SES (p-interaction = 0.002). For children in the lowest tertile of neighborhood SES, prevalence of obesity was not statistically significantly different comparing children with low, middle or high household SES (Predicted probability (PP)lowest 0.20 (95% CI: 0.17, 0.23), PPmiddle 0.21 (95%CI: 0.18, 0.24), PPhighest 0.16 (95%CI: 0.12, 0.20)). Conversely, within the highest and the middle tertiles of neighborhood SES, children with high household SES have significantly lower prevalence of obesity compared to children with the lowest household SES (PP: 0.09 (95%CI: 0.07, 0.11) vs 0.19 (0.16, 0.21) and (PP: 0.07 (95%CI: 0.05, 0.09) vs 0.17 (0.13, 0.21) for highest vs lowest household SES in middle and high neighborhood SES, respectively). Hence, low-SES in either variable is enough to be associated with increased prevalence of obesity.

Importance The Healthy, Hunger-Free Kids Act of 2010, implemented nationwide in 2012, was intended to improve the nutritional quality of meals served in the National School Lunch Program (NSLP). Objective To assess whether there was an association between the Healthy, Hunger-Free Kids Act of 2010 and dietary quality of lunch for students participating in the NSLP, stratified by income. Design, Setting, Participants Serial cross-sectional study design, using National Health and Nutrition Examination Survey (NHANES) data from 2007-2008, 2009-2010, 2013-2014, and 2015-2016, of students who were surveyed in the NHANES and were attending schools participating in the NSLP. Individuals who were aged 5 to 18 years, in kindergarten through 12th grade, enrolled in a school that served school lunch, and had a reliable weekday dietary recall were included. Exposures The Healthy, Hunger-Free Kids Act of 2010 (prepolicy period: 2007-2010; postpolicy period: 2013-2016), with participation in the NSLP estimated based on an algorithm. Main Outcomes and Measures The primary outcome was dietary quality of intake for lunch, measured by the Healthy Eating Index-2010 (HEI-2010) score (range, 0-100; 0 indicates a diet with no adherence to the 2010 Dietary Guidelines for Americans and 100 indicates a diet with complete adherence to the guidelines). Results Among 6389 students included in the surveys (mean age, 11.7 [95% CI, 11.6-11.9] years; 3145 [50%] female students; 1880 [56%] were non-Hispanic white), 32% were low-income, 12% were low-middle–income, and 56% were middle-high–income students. A total of 2472 (39%) were participants in the NSLP. Among low-income students, the adjusted mean prepolicy HEI-2010 score was 42.7 and the postpolicy score was 54.6 among NSLP participants and the adjusted mean prepolicy score was 34.8 and postpolicy score was 34.1 among NSLP nonparticipants (difference in differences, 12.6 [95% CI, 8.9-16.3]). Among low-middle–income students, the adjusted mean prepolicy HEI-2010 score was 40.4 and postpolicy score was 54.8 among NSLP participants and the adjusted mean prepolicy score was 34.2 and postpolicy score was 36.1 among NSLP nonparticipants (difference in differences, 12.4 [95% CI, 4.9-19.9]). Among middle-high–income students, the adjusted mean HEI-2010 prepolicy score was 42.7 and postpolicy score 55.5 for NSLP participants and the adjusted mean prepolicy score was 38.9 and prepolicy score was 43.6 for NSLP nonparticipants (difference in differences, 8.1 [95% CI, 4.2-12.0]). Conclusions and Relevance In a serial cross-sectional study of students, the Healthy, Hunger-Free Kids Act of 2010 was associated with better changes in dietary quality for lunch among presumed low-income, low-middle–income, and middle-high–income participants in the NSLP compared with nonparticipants.

OBJECTIVES: Examine the relationship between household food insecurity (HFS; i.e., access to nutritionally adequate and safe food) and disordered eating behaviors (i.e., restriction, bingeing, insulin manipulation, etc.) among a sample of young adults with youth-onset type 1 (T1D) or type 2 diabetes (T2D). METHODS: We used cross-sectional data from the SEARCH for Diabetes in Youth Study. Individuals (n = 792) ages ≥18 years completed the U.S. Household Food Security Survey Module and the Diabetes Eating Problem Survey-Revised (DEPS-R) between 2016 and 2019. We converted HFS scores to a 10-point scale and dichotomized scores into food secure (HFS ≤ 2.2) vs. food insecure (HFS > 2.2). Multivariable linear regression was used to evaluate the association of HFS with continuous DEPS-R score (i.e., 0–80, with a greater score indicating greater symptoms of disordered eating), adjusting for potential confounders (i.e., sex, age, race/ethnicity, education, household income, insurance, depressive symptoms, and duration of diabetes). We further stratified analyses by diabetes type. RESULTS: Participants were on average 23.8 ± 3.7 years, 59.6% female, 49.6% non-Latino white, and had a mean diabetes duration of 11.5 ± 3.1 years. The overall mean DEPS-R score was 17.3 ± 10.0 points. Mean DEPS-R scores in individuals living in food secure households (n = 709) and food insecure households (n = 83) were 16.6 ± 9.45 and 23.4 ± 12.4, respectively. The adjusted DEPS-R scores were 3.6 points (95% CI = 1.5, 5.7; P 0.05). CONCLUSIONS: Lower household food security in young adults with T1D, but not T2D, is associated with increased disordered eating scores. These results may allow clinicians and other public health professionals to target individuals with low household food security as being at higher risk for potential disordered eating, particularly those with T1D. FUNDING SOURCES: NIDDK & CDC.

Previous studies about obesity and its associated factors in low- and middle-income countries have been based mostly on women of reproductive age. Furthermore, disproportionally changing BMI distributions have been a challenge for its appropriate modeling. In this context, we assessed the magnitude and rate of change in BMI distribution by socioeconomic and geographic factors in both sexes in Latin American countries, modeling the shape of BMI distributions.We used data from national surveys conducted in Mexico, Colombia, and Peru at two time points between 2005 and 2013 (N = 57,414, 13,5403, and 30,811, respectively). We estimated shapes of BMI distributions for 2005 and 2010, and assessed their changes, using the generalized additive model for location, scale, and shape (GAMLSS), in which BMI was assumed to follow a Box-Cox Power Exponential (BCPE) distribution.In all the three countries, higher education was negatively associated with BMI in women but somewhat positive in men; and household wealth was positively associated in men but not in women. Lower household wealth was associated with higher rates of change in BMI distributions in women.Education and household wealth were associated with BMI distributions and their change over time. Observed sex differences in these associations have implications for designing relevant policies and programs to approach target populations effectively. The BCPE-GAMLSS method can provide a useful visual assessment of time-varying measures.