Universal Free School Meals Policy and Childhood Obesity

BACKGROUND AND OBJECTIVES

The Community Eligibility Provision (CEP), a universal free school meals policy, increases school meal participation by allowing schools in low-income areas to provide free breakfast and lunch to all students; however, its impact on obesity remains uncertain. The objective of this study is to estimate the association of CEP with child obesity.

METHODS

School obesity prevalence was calculated using BMI measurements collected annually between 2013 and 2019 from students in California public schools in grades 5, 7, and 9. To estimate the association of CEP with obesity, we used a difference-in-differences approach for staggered policy adoption with an outcome regression model conditional on covariates, weighted by student population size.

RESULTS

The analysis included 3531 CEP-eligible schools using school-level obesity prevalence calculated from 3 546 803 BMI measurements. At baseline, on average, 72% of students identified as Hispanic, 11% identified as white, 7% identified as Black, and 80% were eligible for free or reduced-price meals. Baseline obesity prevalence was 25%. Schools that participated in CEP were associated with a 0.60-percentage-point net decrease in obesity prevalence after policy adoption (95% confidence interval: -1.07 to -0.14 percentage points, P = .01) compared with eligible, nonparticipating schools, corresponding with a 2.4% relative reduction, given baseline prevalence. Meals served increased during this period in CEP-participating schools only.

CONCLUSIONS

In a balanced sample of California schools, CEP participation was associated with a modest net decrease in obesity prevalence compared with eligible, nonparticipating schools. These findings add to the growing literature revealing potential benefits of universal free school meals for children's well-being.

Seattle's sweetened beverage tax implementation and changes in interior marketing displays

Policymakers aim sugar-sweetened beverage (SSB) taxes at decreasing SSB consumption; however, little is known about their impact on beverage marketing in the retail environment. We assessed changes in interior marketing displays within large food stores before and after the implementation of Seattle's SSB tax. We used Poisson difference-in-difference (DID) models to estimate whether presence and variety of interior beverage marketing displays in Seattle changed from before to after the tax compared to displays in non-taxed comparison area stores, overall, and by beverage type. We found no significant changes in overall SSB or non-SSB interior marketing displays in Seattle versus the comparison area. There was less of an increase in displays for diet soda (DID 0.79, 90% CI 0.65, 0.97), and more of an increase in displays for diet energy drinks (DID 1.78, 90% CI 1.03, 3.09) in Seattle versus comparison area. There was mixed evidence that stores changed interior marketing displays in response to the SSB tax.

Sugar-sweetened beverage intake and convenience store shopping as mediators of the food insecurity-Tooth decay relationship among low-income children in Washington state

INTRODUCTION

There are oral health disparities in the U.S. and children in food-insecure households have a higher burden of tooth decay. Identifying the mechanisms underlying the food insecurity-tooth decay relationship could inform public health interventions. This study examined how sugar-sweetened beverage (SSB) intake and frequent convenience store shopping mediated the food insecurity-tooth decay relationship for lower-income children.

MATERIALS AND METHODS

Cross-sectional study data included a household survey, beverage questionnaire, and dental examination. The sample included 452 lower-income, racially-diverse, child-caregiver dyads in 2018 from King County in Washington state. The exposure was household food insecurity, the outcome was untreated decayed tooth surfaces, and the proposed mediators were SSB intake and frequent convenience store shopping (≥2 times/week). Causal mediation analyses via the potential outcomes framework was used to estimate natural indirect and direct effects.

RESULTS

Fifty-five percent of participants were in food-insecure households, the mean number of decayed tooth surfaces among children was 0.87 (standard deviation [SD] = 1.99), the mean SSB intake was 17 fluid ounces (fl/oz)/day (SD = 35), and 18% of households frequently shopped at a convenience store. After adjusting for confounders, household food insecurity and log-transformed SSB intake (fluid ounces/day) were positively associated with decayed tooth surfaces, but not at the a α = 0.05 level (mean ratio [MR] 1.60; 95% confidence interval [CI] 0.89, 2.88; p = .12 and MR 1.16; 95% CI 0.93, 1.46; p = .19, respectively). Frequent convenience store shopping was associated with 2.75 times more decayed tooth surfaces (95% CI 1.61, 4.67; p < .001). SSB intake mediated 10% of the food insecurity-tooth decay relationship (p = .35) and frequent convenience store shopping mediated 22% (p = .33).

CONCLUSIONS

Interventions aimed at addressing oral health disparities in children in food-insecure households could potentially focus on reducing intake of SSBs and improving access to healthful foods in lower-income communities.

Maternal precarious employment and child overweight/obesity in the United States

Precarious employment has increased in the United States and is now recognized as an important social determinant of health. Women are disproportionately employed in precarious jobs and are largely responsible for caretaking, which could deleteriously affect child weight. We utilized data from the National Longitudinal Survey of Youth adult and child cohorts (1996-2016; N = 4453) and identified 13 survey indicators to operationalize 7 dimensions of precarious employment (score range: 0-7, 7 indicating the most precarious): material rewards, working-time arrangements, stability, workers' rights, collective organization, interpersonal relations, and training. We estimated the association between maternal precarious employment and incident child overweight/obesity (BMI ≥85th percentile) using adjusted Poisson models. Between 1996 and 2016, the average age-adjusted precarious employment score among mothers was 3.7 (Standard Error [SE] = 0.02) and the average prevalence of children with overweight/obesity was 26.2% (SE = 0.5%). Higher maternal precarious employment was associated with a 10% higher incidence of children having overweight/obesity (Confidence Interval: 1.05, 1.14). A higher incidence of childhood overweight/obesity may have important implications at the population-level, due to the long-term health consequences of child obesity into adulthood. Policies to reduce employment precariousness should be considered and monitored for impacts on childhood obesity.

Association between precarious employment and BMI in the United States

OBJECTIVE

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.

METHODS

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.

RESULTS

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).

CONCLUSIONS

Given that even small changes in weight affect chronic disease risk, policies to improve employment quality warrant consideration.

Subtyping patients with chronic disease using longitudinal BMI patterns

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.

Association between health care access and food insecurity among lower-income older adults with multiple chronic conditions in Washington State, USA

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.

The Availability and Price of Healthy Food in Seattle by Neighborhood Sociodemographic Characteristics

INTRODUCTION

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Sweetened beverage taxes: Economic benefits and costs according to household income

Taxing sweetened beverages has emerged as an important and effective policy for addressing their overconsumption. However, taxes may place a greater economic burden on people with lower incomes. We assess the degree to which sweetened beverage taxes in three large US cities placed an inequitable burden on populations with lower incomes by assessing spending on beverage taxes by income after taxes have been implemented, as well as any net transfer of funds towards lower income populations once allocation of tax revenue is considered. We find that while lower income populations pay a higher percentage of their income in beverage taxes, there is no difference in absolute spending on beverage taxes per capita, and that there is a sizable net transfer of funds towards programs targeting lower income populations. Thus, when considering both population-level taxes paid and sufficiently targeted allocations of tax revenues, a sweetened beverage tax may have characteristics of an equitable public policy.

Evaluation of Seattle’s Sweetened Beverage Tax on Tax Support and Perceived Economic and Health Impacts

It is important to understand whether the publics’ attitudes towards sugary beverage taxes (SBT) change after tax implementation to ensure the long-term success of tax policies. Seattle’s SBT went into effect on January 1, 2018. We administered a mixed-mode survey to adults in Seattle and comparison areas, pre- and 2-years post-tax, to evaluate the impact of the SBT on 1) tax support and 2) perceived tax impacts (N = 2,933). Using a difference-in-differences approach, we employed adjusted income-stratified modified Poisson models to test the impacts of the tax on net changes in attitudes in Seattle versus the comparison areas, pre- to post-tax. Among lower-income individuals in Seattle, support for the tax increased by 14% (PR_DD: 1.14; 95% CI: 1.08, 1.21) and there was a 20% net-increase in the perception that the SBT would positively affect the economy (PR_DD: 1.20; 95% CI: 1.05, 1.39), compared to changes in the comparison areas. Among higher-income individuals in Seattle, support for the tax was not different (PR_DD: 0.93; 95% CI: 0.70, 1.22) pre- to post-tax, but there was a net-increase in the perception that the tax would have negative effects on small businesses (PR_DD: 1.44; 95% CI: 1.03, 2.00) and family finances (PR_DD: 1.86; 95% CI: 1.09, 3.19). After living with the tax for 2-years, support for the tax increased among lower-income individuals in Seattle. Tax support was high and unchanged among higher-income individuals, but overall attitudes became more negative. Policy makers should consider investing in ongoing campaigns that explain the benefits of SSB taxes and revenues.

Impacts of the Seattle Sweetened Beverage Tax on the Perceived Healthfulness of Sweetened Beverages

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.

Menu Labeling Utilization and Socioeconomic Status in West Virginia and Mississippi

OBJECTIVE

Determine the association between socioeconomic status and self-reported noticing and using calorie menu labels in 2 states with high poverty and obesity.

DESIGN

Cross-sectional study of responses to the 2016 Behavioral Risk Factor Surveillance System Menu Labeling Module.

PARTICIPANTS

Representative sample of noninstitutionalized adults aged ≥ 18 years in West Virginia and Mississippi (n = 9,469).

MAIN OUTCOME MEASURES

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).

ANALYSIS

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.

RESULTS

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; P < 0.001) and 18% more likely to report using (95% confidence interval, 1.06-1.30; P < 0.01) menu labels. Patterns were similar for % FPL.

CONCLUSIONS AND IMPLICATIONS

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.

A Qualitative Study of Living in a Healthy Food Priority Area in One Seattle, WA, Neighborhood

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.

Perceptions and Impact of a Youth-led Childhood Obesity Prevention Intervention among Youth-leaders

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=0.04), and greater decreases in support for healthy eating from their friends (p=0.01), 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.

Qualitative Study on Participant Perceptions of a Supermarket Fruit and Vegetable Incentive Program

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.

Association Between Consumption of Sugar-Sweetened Beverages and 100% Fruit Juice With Poor Mental Health Among US Adults in 11 US States and the District of Columbia

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 <1, and ≥1 times per day) and experiencing 14 or more days of poor mental health in the past month, adjusting for sociodemographic characteristics. We used an F test of joint significance to assess effect modification by sex for SSB and fruit juice analyses.

RESULTS

Consuming SSBs 1 or more times per day versus consuming none was associated with a 26% greater prevalence of poor mental health (95% CI, 1.11-1.43). Associations for consuming >0 to <1 times per day compared with consuming none were not significant. We found no evidence of an association between fruit juice consumption and mental health, nor evidence of effect modification by sex in the SSB and fruit juice analyses.

CONCLUSION

Consuming SSBs 1 or more times per day was significantly associated with poor mental health whereas 100% fruit juice consumption was not. Future studies should examine alternative cut-points of fruit juice by using prospective designs.

Obesity prediction by modelling BMI distributions: application to national survey data from Mexico, Colombia and Peru, 1988-2014

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.

Impact of a sweetened beverage tax on beverage prices in Seattle, WA

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.

Household socioeconomic status modifies the association between neighborhood SES and obesity in a nationally representative sample of first grade children in the United States

•

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), PP_middle 0.21 (95%CI: 0.18, 0.24), PP_highest 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.

Unemployment during the Great Recession and large-for-gestational age births

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.

Perceptions of the possible health and economic impacts of Seattle's sugary beverage tax

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 (< 260% Federal Poverty Level [FPL], ≥ 260% FPL) and across race/ethnicities using chi-square tests. Analyses used population weights and adjusted for multiple comparisons, using the Holm-Bonferroni Sequential Correction (p < 0.01).

RESULTS

A majority of participants supported the sugary beverage tax (59%; 95% Confidence Interval [CI]: 55, 63%) and believed that the tax would improve public health (56%; CI: 52, 60%). Most participants believed that the tax would not negatively affect small businesses (52%; CI: 48, 56%) nor result in job loss (66%; CI: 62, 70%). Most participants also perceived that the tax would not negatively impact their own finances (79%; CI: 75, 82%). However, fewer lower-income (48%; CI: 42, 53%), versus higher-income participants (61%; CI: 55, 66%), perceived that the tax would improve public health, would not result in job loss (lower-income: 58%; CI: 53, 64%; higher-income: 71%; CI: 66, 75%) and would not negatively affect their own finances (lower-income: 68%; CI: 62, 73%; higher-income: 85%; CI: 81, 88%). Compared to non-Hispanic Whites, (82%; CI: 79, 86%), a smaller proportion of non-Hispanic Blacks (63%; 95% CI: 48, 75%), and Hispanics (67%; 95% CI: 51, 79%), perceived that the tax would have negative consequences for their own family finances.

CONCLUSIONS

A majority of respondents supported the sugary beverage tax in Seattle. Lower-income participants were more concerned about potential financial consequences. Further evaluation of the extent to which unintended consequences occur is needed.

Casino Ownership and Health-Related Community Resources Among Native American Tribes in California

Introduction

Casinos are significantly associated with improved health among some Native Americans living on tribal lands. An increase in health-related community resources related to tribal ownership of casinos may be one mechanism through which the health of Native Americans is improved. However, no studies have quantitatively assessed whether casinos are associated with having more community resources.

Methods

To investigate the association between casino ownership and health-related community resources among Native Americans, we surveyed 81 of California’s 110 federally recognized tribes about casino ownership and health-related community resources during 2015 and 2016. We created a total health-related community resources score (maximum of 50 points) by grouping resources into 5 subdomains (community infrastructure, health care and education, social determinants, recreational infrastructure, and recreation programs), which we scored for a maximum of 10 points each and then summed. Casino ownership was our independent variable. We used adjusted linear regression models to test the association between casino ownership and health-related community resources.

Results

Half (49%) of the tribes surveyed owned a casino. Compared with tribes without casinos, tribes with casinos had higher total health-related community resource scores (β = 5.09; 90% confidence interval [CI], 1.17–9.01). Casino-owning tribes had more resources related to community infrastructure (β = 1.81; 90% CI, 0.81–2.80), social determinants of health (β = 1.45; 90% CI, 0.24–2.67) and recreational infrastructure (β = 1.08; 90% CI, 0.24–1.92) compared with tribes without casinos.

Conclusions

Casino ownership is significantly associated with health-related community resources. Future research should assess whether community resources mediate the relationship between economic resources and health among Native Americans.

The neighborhood environment and obesity: Understanding variation by race/ethnicity

Neighborhood characteristics have been associated with obesity, but less is known whether relationships vary by race/ethnicity. This study examined the relationship between soda consumption - a behavior strongly associated with obesity - and weight status with neighborhood sociodemographic, social, and built environments by race/ethnicity. We merged data on adults from the 2011-2013 California Health Interview Survey, U.S. Census data, and InfoUSA (n=62,396). Dependent variables were soda consumption and weight status outcomes (body mass index and obesity status). Main independent variables were measures of three neighborhood environments: social (social cohesion and safety), sociodemographic (neighborhood socioeconomic status, educational attainment, percent Asian, percent Hispanic, and percent black), and built environments (number of grocery stores, convenience stores, fast food restaurants, and gyms in neighborhood). We fit multi-level linear and logistic regression models, stratified by individual race/ethnicity (NH (non-Hispanic) Whites, NH African Americans, Hispanics, and NH Asians) controlling for individual-level characteristics, to estimate neighborhood contextual effects on study outcomes. Lower neighborhood educational attainment was associated with higher odds of obesity and soda consumption in all racial/ethnic groups. We found fewer associations between study outcomes and the neighborhood, especially the built environment, among NH African Americans and NH Asians. While improvements to neighborhood environment may be promising to reduce obesity, null associations among minority subgroups suggest that changes, particularly to the built environment, may alone be insufficient to address obesity in these groups.

Exposure to a multi-level multi-component childhood obesity prevention community-randomized controlled trial: patterns, determinants, and implications

BACKGROUND

For community interventions to be effective in real-world conditions, participants need to have sufficient exposure to the intervention. It is unclear how the dose and intensity of the intervention differ among study participants in low-income areas. We aimed to understand patterns of exposure to different components of a multi-level multi-component obesity prevention program to inform our future impact analyses.

METHODS

B'more Healthy Communities for Kids (BHCK) was a community-randomized controlled trial implemented in 28 low-income zones in Baltimore in two rounds (waves). Exposure to three different intervention components (corner store/carryout restaurants, social media/text messaging, and youth-led nutrition education) was assessed via post-intervention interviews with 385 low-income urban youths and their caregivers. Exposure scores were generated based on self-reported viewing of BHCK materials (posters, handouts, educational displays, and social media posts) and participating in activities, including taste tests during the intervention. For each intervention component, points were assigned for exposure to study materials and activities, then scaled (0-1 range), yielding an overall BHCK exposure score [youths: mean 1.1 (range 0-7.6 points); caregivers: 1.1 (0-6.7), possible highest score: 13]. Ordered logit regression analyses were used to investigate correlates of youths' and caregivers' exposure level (quartile of exposure).

RESULTS

Mean intervention exposure scores were significantly higher for intervention than comparison youths (mean 1.6 vs 0.5, p < 0.001) and caregivers (mean 1.6 vs 0.6, p < 0.001). However, exposure scores were low in both groups and 10% of the comparison group was moderately exposed to the intervention. For each 1-year increase in age, there was a 33% lower odds of being highly exposed to the intervention (odds ratio 0.77, 95% confidence interval 0.69; 0.88) in the unadjusted and adjusted model controlling for youths' sex and household income.

CONCLUSION

Treatment effects may be attenuated in community-based trials, as participants may be differentially exposed to intervention components and the comparison group may also be exposed. Exposure should be measured to provide context to impact evaluations in multi-level trials. Future analyses linking exposure scores to the outcome should control for potential confounders in the treatment-on-the-treated approach, while recognizing that confounding and selection bias may exist affecting causal inference.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT02181010 . Retrospectively registered on 2 July 2014.

The impact of a private sector living wage intervention on consumption and cardiovascular disease risk factors in a middle income country

Background

A positive association of socioeconomic position and health is well established in high-income countries. In poorer nations, however, higher income individuals often have more cardiovascular risk factors (including obesity) than do those with less income. Our study goal was to estimate the effects of receiving a living wage (340% higher income) on short-term changes in consumption and cardiovascular risk factors among low-wage workers in a middle-income country.

Methods

This cross-sectional study matched workers at an apparel factory (n=105) in the Dominican Republic with those at a similar factory (n=99) nearby, 15 months after the intervention factory introduced a substantially higher living wage. Statistical matching on non-time varying individual characteristics (childhood health, childhood living conditions, work experience, demographic factors) strengthened causal inference. Primary outcomes were blood pressure (systolic and diastolic), pulse rate, body mass index and waist circumference. Secondary outcomes were dietary consumption and spending on services, consumables and durable goods.

Results

Receiving the living wage was associated with increased consumption of protein, dairy, soda and juice and sugars, but not with cardiovascular risk factors. Intervention factory workers spent more on grocery items and household durable goods.

Conclusions

While having a higher income in a middle-income country might be expected to increase obesity and its associated health risks, the current study found no short-term negative associations. There may be possible longer-term negative health consequences of increases in consumption of soda, juice and sugars, however. It is important to consider complementary interventions to support healthy dietary intake in areas with increasing wages.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-5052-2) contains supplementary material, which is available to authorized users.

Relationships between Vacant Homes and Food Swamps: A Longitudinal Study of an Urban Food Environment

Research indicates that living in neighborhoods with high concentrations of boarded-up vacant homes is associated with premature mortality due to cancer and diabetes, but the mechanism for this relationship is unclear. Boarded-up housing may indirectly impact residents’ health by affecting their food environment. We evaluated the association between changes in vacancy rates and changes in the density of unhealthy food outlets as a proportion of all food outlets, termed the food swamp index, in Baltimore, MD (USA) from 2001 to 2012, using neighborhood fixed-effects linear regression models. Over the study period, the average food swamp index increased from 93.5 to 95.3 percentage points across all neighborhoods. Among non-African American neighborhoods, increases in the vacancy rate were associated with statistically significant decreases in the food swamp index (b = −0.38; 90% CI, −0.64 to −0.12; p-value: 0.015), after accounting for changes in neighborhood SES, racial diversity, and population size. A positive association was found among low-SES neighborhoods (b = 0.15; 90% CI, 0.037 to 0.27; p-value: 0.031). Vacant homes may influence the composition of food outlets in urban neighborhoods. Future research should further elucidate the mechanisms by which more distal, contextual factors, such as boarded-up vacant homes, may affect food choices and diet-related health outcomes.

The Longitudinal Association Between Early Childhood Obesity and Fathers' Involvement in Caregiving and Decision-Making

OBJECTIVE

Fathers have increased their involvement in child caregiving; however, their changing role in childhood obesity is understudied. This study assessed the longitudinal association between changes in obesity among children aged 2 to 4 years and changes in fathers' involvement with raising children.

METHODS

Longitudinal data from the Early Childhood Longitudinal Study-Birth Cohort were used to conduct child fixed-effects linear and logistic regression analyses to assess the association between changes in childhood obesity-related outcomes (sugar-sweetened beverage consumption, screen time, BMI z score, overweight/obesity, obesity) and fathers' involvement with raising children (caregiving and influencing child-related decisions). Fixed-effects models control for all time-invariant characteristics. Analyses were controlled for time-varying confounders, including child age, maternal and paternal employment, and family poverty status.

RESULTS

Children whose fathers increased their frequency of taking children outside and involvement with physical childcare experienced a decrease in their odds of obesity from age 2 to age 4. Obesity-related outcomes were not associated with fathers' decision-making influence.

CONCLUSIONS

Increases in fathers' involvement with some aspects of caregiving may be associated with lower odds of childhood obesity. Encouraging fathers to increase their involvement with raising children and including fathers in childhood obesity prevention efforts may help reduce obesity risk among young children.

Association between Native American-owned casinos and the prevalence of large-for-gestational-age births

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.

Disparities in dietary intake and physical activity patterns across the urbanization divide in the Peruvian Andes

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.

Breakfast Consumption Frequency and Its Relationships to Overall Diet Quality, Using Healthy Eating Index 2010, and Body Mass Index among Adolescents in a Low-Income Urban Setting

The aim of this study was to describe the relationship of breakfast frequency to diet quality and BMI among low-income, predominantly African American adolescents aged 9-15 (n = 239). Mean frequency of breakfast consumption was 5.0 ± 0.15 times per week. A significant, positive relationship was seen between HEI scores and frequency of breakfast consumption (p = .01). Dairy (p = .02) and whole grains (p < .01) HEI component scores were significantly related to breakfast frequency. No relationship was seen between breakfast frequency and BMI. Research with more rigorous designs should be conducted to assess the potential effects of breakfast consumption on diet quality in this population.

Taking dietary habits into account: A computational method for modeling food choices that goes beyond price

Computational models have gained popularity as a predictive tool for assessing proposed policy changes affecting dietary choice. Specifically, they have been used for modeling dietary changes in response to economic interventions, such as price and income changes. Herein, we present a novel addition to this type of model by incorporating habitual behaviors that drive individuals to maintain or conform to prior eating patterns. We examine our method in a simulated case study of food choice behaviors of low-income adults in the US. We use data from several national datasets, including the National Health and Nutrition Examination Survey (NHANES), the US Bureau of Labor Statistics and the USDA, to parameterize our model and develop predictive capabilities in 1) quantifying the influence of prior diet preferences when food budgets are increased and 2) simulating the income elasticities of demand for four food categories. Food budgets can increase because of greater affordability (due to food aid and other nutritional assistance programs), or because of higher income. Our model predictions indicate that low-income adults consume unhealthy diets when they have highly constrained budgets, but that even after budget constraints are relaxed, these unhealthy eating behaviors are maintained. Specifically, diets in this population, before and after changes in food budgets, are characterized by relatively low consumption of fruits and vegetables and high consumption of fat. The model results for income elasticities also show almost no change in consumption of fruit and fat in response to changes in income, which is in agreement with data from the World Bank's International Comparison Program (ICP). Hence, the proposed method can be used in assessing the influences of habitual dietary patterns on the effectiveness of food policies.

Longitudinal Associations between Change in Neighborhood Social Disorder and Change in Food Swamps in an Urban Setting

Few studies have examined how neighborhood contextual features may influence the food outlet mix. We evaluated the relationship between changes in neighborhood crime and changes in the food environment, namely the relative density of unhealthy (or intermediate) food outlets out of total food outlets, or food swamp score, in Baltimore City from 2000 to 2012, using neighborhood fixed-effects linear regression models. Comparing neighborhoods to themselves over time, each unit increase in crime rate was associated with an increase in the food swamp score (b = 0.13; 95% CI, -0.00017 to 0.25). The association with food swamp score was in the same direction for violent crime and in the inverse direction for arrests related to juvenile crimes (proxy of reduced crime), but did not reach statistical significance when examined separately. Unfavorable conditions, such as crime, may deter a critical consumer base, diminishing the capacity of a community to attract businesses that are perceived to be neighborhood enhancing. Addressing these more distal drivers may be important for policies and programs to improve these food environments.

The impact of changing economic conditions on overweight risk among children in California from 2008 to 2012

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.

Impacts of casinos on key pathways to health: qualitative findings from American Indian gaming communities in California

BACKGROUND

Three decades ago, casino gaming on sovereign American Indian lands was legalized with differential economic and social implications. While casinos have improved the incomes of tribal communities, there have been both positive and negative findings in relation to health impacts. We sought to understand the perceived pathways by which casinos impact individual and community health through voices of the community.

METHODS

We conducted semi-structured, interviews with tribal leaders (n =12) and tribal members (n =24) from tribal communities (n = 23) representing different regions of California. We inductively analyzed textual data drawing from Grounded Theory, first using line-by-line coding to identify analytic categories from emergent themes in consideration of the study objective. Then, focused codes were applied to identify salient themes, which we represented through exemplar quotes and an overall conceptual framework. Data were managed and coded using Dedoose software.

RESULTS

American Indian-owned casinos are perceived to influence the health of tribal communities through three pathways: 1) improving the tribal economy 2) altering the built environment, and 3) disrupting the the social landscape. Forming these pathways are a series of interrelated health determinants. Improvement of the tribal economy, through both job creation for tribal members and improved tribal cash flow, was perceived by participants to both influence health. Specifically, improved cash flow has resulted in new wellness programs, community centers, places for recreation, and improved social services. Higher disposable incomes have led to better financial stability, increased access to healthy food, and more opportunities for physical activity. Yet, higher disposable incomes were perceived to also contribute to negative health behaviors, most notably increased drug and alcohol abuse. Casinos were also perceived to alter built environments, resulting in increased availability and access to unhealthy food. And to a lesser extent, they were perceived to disrupt the social landscape of communities with impacts on tribal community value systems.

CONCLUSIONS

Casino environments improve economic conditions of tribal communities, but present important social and public health challenges. Policy makers at federal, state, and tribal levels should consider the perceptions of tribal members and leaders when determining policies in light of casino development.

Food Security Status and Barriers to Fruit and Vegetable Consumption in Two Economically Deprived Communities of Oakland, California, 2013-2014

Introduction

Food security status may moderate how people perceive barriers to fruit and vegetable consumption. This study aimed to 1) describe the association between fruit and vegetable consumption and microbarriers and mezzobarriers to consumption, and 2) test whether these associations differ by food security status.

Methods

We surveyed adults (n = 531) living in 2 economically deprived communities in Oakland, California, in 2013 and 2014. Multivariate linear regression assessed associations between microbarriers (taste, cost, busyness) and mezzobarriers (produce selection, quality, and purchase ease) and fruit and vegetable consumption, derived from a 26-item dietary screener. Interactions were tested by food security status.

Results

Respondents consumed a mean 2.4 (standard deviation, 1.5) servings of fruits and vegetables daily; 39% of the sample was food insecure. Being too busy to prepare healthy foods was associated with reduced fruit and vegetable consumption (β_busyness = −0.40; 95% confidence interval [CI], −0.52 to −0.28) among all respondents. Food security moderated the relationship between fruit and vegetable consumption and taste, cost, and perceived ease of purchase of healthy foods. Among the food secure, disliking healthy food taste (β_taste = −0.38; 95% CI, −0.60 to −0.15) and cost (β_cost = −0.29; 95% CI, −0.44 to −0.15) concerns were associated with lower consumptions of fruits and vegetables. Mezzobarriers were not significantly associated with consumption in either group.

Conclusion

Perceived time constraints influenced fruit and vegetable consumption. Taste and cost influenced fruit and vegetable consumption among the food secure and may need to be considered when interpreting analyses that describe dietary intake and designing diet-related interventions.

The relationship of the local food environment with obesity: A systematic review of methods, study quality, and results

OBJECTIVE

To examine the relationship between local food environments and obesity and assess the quality of studies reviewed.

METHODS

Systematic keyword searches identified studies from US and Canada that assessed the relationship of obesity to local food environments. We applied a quality metric based on design, exposure and outcome measurement, and analysis.

RESULTS

We identified 71 studies representing 65 cohorts. Overall, study quality was low; 60 studies were cross-sectional. Associations between food outlet availability and obesity were predominantly null. Among non-null associations, we saw a trend toward inverse associations between supermarket availability and obesity (22 negative, 4 positive, 67 null) and direct associations between fast food and obesity (29 positive, 6 negative, 71 null) in adults. We saw direct associations between fast food availability and obesity in lower income children (12 positive, 7 null). Indices including multiple food outlets were most consistently associated with obesity in adults (18 expected, 1 not expected, 17 null). Limiting to higher quality studies did not affect results.

CONCLUSIONS

Despite the large number of studies, we found limited evidence for associations between local food environments and obesity. The predominantly null associations should be interpreted cautiously due to the low quality of available studies.

Gains in income during early childhood are associated with decreases in BMI z scores among children in the United States

BACKGROUND

Evidence suggests that changes in family income are an important determinant of children's body mass index (BMI). However, few studies have leveraged longitudinal data to investigate the association of changes in family income on changes in BMI z score.

OBJECTIVE

This study aimed to assess whether gains in family income are associated with changes in BMI z score among children in the United States by using the nationally representative Early Childhood Longitudinal Survey Birth Cohort (ECLS-B).

DESIGN

We used longitudinal data from the ECLS-B to assess whether gains in family income, assessed by using the poverty to income ratio (PIR), were associated with changes in BMI z score among children aged 2-6 y. Child anthropometric characteristics and family income were assessed at 2-y, 4-y, 5-y, and 6-y visits. Sex-stratified, individual fixed-effects linear regression models compared children with themselves over time to control for time-invariant measured and unmeasured confounding factors. Models also controlled for time-varying confounders, including number of siblings, household structure (2 parents, one parent, or unrelated guardian), age, and age squared.

RESULTS

Children (n = ~9200) had a mean ± SE change in BMI z score of 0.12 ± 0.022, and family income increased by ~$3361 ± $536 during the 4-y period of observation (2003-2007). The association between increased PIR and change in BMI z score varied by sex but not by race-ethnicity. Among girls, an increase in PIR was associated with a statistically significant decrease in BMI z score (βPIR = -0.022; 95% CI: -0.042, -0.0016). There was a statistically significant association between PIR and BMI z score among preterm boys (βPIR + β PIRXpreterm = -0.067; 95% CI: -0.12, -0.018), but the relation was not statistically significant among boys born at term (βPIR = -0.0049; 95% CI: -0.024, 0.014).

CONCLUSIONS

By comparing children with themselves over time, we overcome many barriers that typically impede causal inference in observational studies. In this way, our study provides stronger evidence that gains in income during early childhood may promote healthy weight outcomes among girls.

Associations between family income and children's physical fitness and obesity in California, 2010-2012

INTRODUCTION

Socioeconomic status may influence childhood obesity prevalence and children's fitness level. The purpose of this study was to assess the association between family income and children's physical fitness level and obesity prevalence for 8 racial/ethnic groups.

METHODS

Data for 1,617,400 fifth-, seventh-, and ninth-grade children who took a physical fitness test from 2010 through 2012 in California were used in this cross-sectional study. Multiple linear and log-binomial regressions were used to test whether low family income (as indicated by eligibility for National School Lunch Program) was associated with physical fitness level or obesity prevalence. Differences were tested by race/ethnicity while adjusting for age and sex. Fitness score was measured on a scale from 0 (least healthy) to 6 (most healthy).

RESULTS

Average fitness score was 4.45 (standard deviation, 1.47). Prevalence of obesity was 20.3%, and 56% of children were classified as having lower family income. Lower family income (vs higher) was associated with lower fitness score (coefficient = -0.57; 95% confidence interval [CI], -0.62 to -0.53). Lower-income children had higher prevalence of obesity (relative risk = 1.81; 95% CI, 1.72-1.89) compared with higher-income children. These inverse associations were seen among American Indian, Asian, Pacific Islander, Filipino, Hispanic/Latino, African American, and white children and among children who were identified as being of 2 or more races/ethnicities.

CONCLUSION

Children with lower family incomes tend to have less healthy physical fitness status and have higher risk of obesity than children with higher family incomes. This information can be used to help set policies and provide programs aimed at improving fitness and decreasing obesity risk among low-income children.

Spatial pattern of body mass index among adults in the diabetes study of Northern California (DISTANCE)

Background

The role that environmental factors, such as neighborhood socioeconomics, food, and physical environment, play in the risk of obesity and chronic diseases is not well quantified. Understanding how spatial distribution of disease risk factors overlap with that of environmental (contextual) characteristics may inform health interventions and policies aimed at reducing the environment risk factors. We evaluated the extent to which spatial clustering of extreme body mass index (BMI) values among a large sample of adults with diabetes was explained by individual characteristics and contextual factors.

Methods

We quantified spatial clustering of BMI among 15,854 adults with diabetes from the Diabetes Study of Northern California (DISTANCE) cohort using the Global and Local Moran’s I spatial statistic. As a null model, we assessed the amount of clustering when BMI values were randomly assigned. To evaluate predictors of spatial clustering, we estimated two linear models to estimate BMI residuals. First we included individual factors (demographic and socioeconomic characteristics). Then we added contextual factors (neighborhood deprivation, food environment) that may be associated with BMI. We assessed the amount of clustering that remained using BMI residuals.

Results

Global Moran’s I indicated significant clustering of extreme BMI values; however, after accounting for individual socioeconomic and demographic characteristics, there was no longer significant clustering. Twelve percent of the sample clustered in extreme high or low BMI clusters, whereas, only 2.67% of the sample was clustered when BMI values were randomly assigned. After accounting for individual characteristics, we found clustering of 3.8% while accounting for neighborhood characteristics resulted in 6.0% clustering of BMI. After additional adjustment of neighborhood characteristics, clustering was reduced to 3.4%, effectively accounting for spatial clustering of BMI.

Conclusions

We found substantial clustering of extreme high and low BMI values in Northern California among adults with diabetes. Individual characteristics explained somewhat more of clustering of the BMI values than did neighborhood characteristics. These findings, although cross-sectional, may suggest that selection into neighborhoods as the primary explanation of why individuals with extreme BMI values live close to one another. Further studies are needed to assess causes of extreme BMI clustering, and to identify any community level role to influence behavior change.

Electronic supplementary material

The online version of this article (doi:10.1186/1476-072X-13-48) contains supplementary material, which is available to authorized users.

Combining Ground-Truthing and Technology to Improve Accuracy in Establishing Children's Food Purchasing Behaviors

Developing nutrition-focused environmental interventions for youth requires accurate assessment of where they purchase food. We have developed an innovative, technology-based method to improve the accuracy of food source recall among children using a tablet PC and ground-truthing methodologies. As part of the B'more Healthy Communties for Kids study, we mapped and digitally photographed every food source within a half-mile radius of 14 Baltimore City recreation centers. This food source database was then used with children from the surrounding neighborhoods to search for and identify the food sources they frequent. This novel integration of traditional data collection and technology enables researchers to gather highly accurate information on food source usage among children in Baltimore City. Funding is provided by the NICHD U-54 Grant #1U54HD070725-02.

Socioeconomic status and trajectory of overweight from birth to mid-childhood: the Early Childhood Longitudinal Study-Birth Cohort

OBJECTIVE

Our objective was to use longitudinal data from a US birth cohort to test whether the probability of overweight or obesity during the first 6 years of life varied according to socioeconomic status.

DESIGN AND METHODS

Using six waves of longitudinal data from full-term children in the Early Childhood Longitudinal Study-Birth Cohort (2001-2007; n≈4,950), we examined the prevalence of overweight or obesity (Body Mass Index (BMI)>2 standard deviations above age- and sex- specific WHO Childhood Growth Standard reference mean; henceforth, "overweight/obesity") according to age, socioeconomic status, and race/ethnicity using generalized estimating equation models.

RESULTS

The association between socioeconomic status and overweight/obesity varied significantly by race/ethnicity, but not by sex. Overweight/obesity was significantly associated with socioeconomic status among whites, Hispanics and Asians; the adjusted odds of overweight/obesity began to diverge according to SES after the first 9 months of life. By approximately 4 years, children with the highest SES had a significantly lower odds of overweight/obesity. SES was not significantly related to overweight/obesity among African Americans and American Indians during early childhood.

CONCLUSIONS

Few studies have assessed the associations between SES and overweight/obesity within racial/ethnic groups in the US. We find that in contemporary, US-born children, SES was inversely associated with overweight/obesity among more racial/ethnic groups (whites, Hispanics, and Asians) than previously reported.

Relation between the Supplemental Nutritional Assistance Program cycle and dietary quality in low-income African Americans in Baltimore, Maryland

BACKGROUND

There has been limited research regarding the Supplemental Nutritional Assistance Program (SNAP) and recipients' dietary quality during the days and weeks after benefit disbursement.

OBJECTIVE

We examined the relation between participants' stages in the SNAP cycle and their macronutrient consumption, Healthy Eating Index (HEI) scores, and fruit and vegetable intake.

DESIGN

In this cross-sectional study, we analyzed single 24-h dietary recalls collected from 244 African American SNAP participants recruited near 24 corner stores in Baltimore City. A multiple linear regression analysis and bootstrapping were used.

RESULTS

Among participants who received a SNAP benefit ≤15 d before being surveyed, energy intake adjusted for minimum energy requirements (-4.49%; 95% CI: -8.77%, -0.15%) and HEI dairy scores (-0.12; 95% CI: -0.22, -0.01) were lower for each 1-d increase in the time since SNAP distribution (TSSD). Among participants who received SNAP benefits >15 d before being surveyed, energy intake (1.35%; 95% CI: 0.01%, 2.73%), energy intake adjusted for minimum energy requirements (3.86%; 95% CI: 0.06%, 7.96%), total fat intake (1.96%; 95% CI: 0.29%, 3.8%), saturated fat intake (2.02%; 95% CI: 0.23%, 4.01%), and protein intake (2.09%; 95% CI: 0.70%, 3.62%) were higher per each 1-d increase in the TSSD.

CONCLUSIONS

These findings suggest that the relation between the TSSD and macronutrient intake might be U-shaped, with higher intake of calories, fat, and protein in individuals in the very early and late stages of their SNAP cycles. Foods high in these nutrients might be cheaper, more accessible, and have a longer shelf-life than healthier options, such as fruit, vegetables, and whole grains, for SNAP participants when their benefits run out. Additional efforts are needed to investigate the effect of the TSSD on dietary intake by using a longitudinal design and to improve the quality of dietary intake in African American SNAP participants.

Association between casino opening or expansion and risk of childhood overweight and obesity

IMPORTANCE

Economic resources have been inversely associated with risk of childhood overweight/obesity. Few studies have evaluated whether this association is a direct effect of economic resources or is attributable to unmeasured confounding or reverse causation. American Indian-owned casinos have resulted in increased economic resources for some tribes and provide an opportunity to test whether these resources are associated with overweight/obesity.

OBJECTIVE

To assess whether openings or expansions of American Indian-owned casinos were associated with childhood overweight/obesity risk.

DESIGN, SETTING, AND PARTICIPANTS

We used repeated cross-sectional anthropometric measurements from fitness testing of American Indian children (aged 7-18 years) from 117 school districts that encompassed tribal lands in California between 2001 and 2012. Children in school districts encompassing American Indian tribal lands that either gained or expanded a casino were compared with children in districts with tribal lands that did not gain or expand a casino.

MAIN OUTCOMES AND MEASURES

Per capita annual income, median annual household income, percentage of population in poverty, total population, child overweight/obesity (body mass index [BMI] ≥85th age- and sex-specific percentile) and BMI z score.

RESULTS

Of the 117 school districts, 57 gained or expanded a casino, 24 had a preexisting casino but did not expand, and 36 never had a casino. The mean slots per capita was 7 (SD, 12) and the median was 3 (interquartile range [IQR], 0.3-8). Among districts where a casino opened or expanded, the mean change in slots per capita was 13 (SD, 19) and the median was 3 (IQR, 1-11). Forty-eight percent of the anthropometric measurements were classified as overweight/obese (11,048/22,863). Every casino slot machine per capita gained was associated with an increase in per capita annual income (β = $541; 95% CI, $245-$836) and a decrease in percentage in poverty (β = -0.6%; 95% CI, -1.1% to -0.20%) among American Indians living on tribal lands. Among American Indian children, every slot machine per capita gained was associated with a decreased probability of overweight/obesity by 0.19 percentage points (95% CI, -0.26 to -0.11 percentage points) and a decrease in BMI z score (β = -0.003; 95% CI, -0.005 to -0.0002).

CONCLUSIONS AND RELEVANCE

In this study, opening or expanding a casino was associated with increased economic resources and decreased risk of childhood overweight/obesity. Given the limitations of an ecological study, further research is needed to better understand the mechanisms behind this association.

Obesity and the food environment: income and ethnicity differences among people with diabetes: the Diabetes Study of Northern California (DISTANCE)

OBJECTIVE

It is unknown whether any association between neighborhood food environment and obesity varies according to individual income and/or race/ethnicity. The objectives of this study were to test whether there was an association between food environments and obesity among adults with diabetes and whether this relationship differed according to individual income or race/ethnicity.

RESEARCH DESIGN AND METHODS

Subjects (n = 16,057) were participants in the Diabetes Study of Northern California survey. Kernel density estimation was used to create a food environment score for each individual's residence address that reflected the mix of healthful and unhealthful food vendors nearby. Logistic regression models estimated the association between the modeled food environment and obesity, controlling for confounders, and testing for interactions between food environment and race/ethnicity and income.

RESULTS

The authors found that more healthful food environments were associated with lower obesity in the highest income groups (incomes 301-600% and >600% of U.S. poverty line) among whites, Latinos, and Asians. The association was negative, but smaller and not statistically significant, among high-income blacks. On the contrary, a more healthful food environment was associated with higher obesity among participants in the lowest-income group (<100% poverty threshold), which was statistically significant for black participants in this income category.

CONCLUSIONS

These findings suggest that the availability of healthful food environments may have different health implications when financial resources are severely constrained.

Cross-national comparisons of time trends in overweight inequality by socioeconomic status among women using repeated cross-sectional surveys from 37 developing countries, 1989-2007

Chronic diseases are now among the leading causes of morbidity and mortality in lower income countries. Although traditionally related to higher individual socioeconomic status (SES) in these contexts, the associations between SES and chronic disease may be actively changing. Furthermore, country-level contextual factors, such as economic development and income inequality, may influence the distribution of chronic disease by SES as well as how this distribution has changed over time. Using overweight status as a health indicator, the authors studied repeated cross-sectional data from women aged 18-49 years in 37 developing countries to assess within-country trends in overweight inequalities by SES between 1989 and 2007 (n=405,550). Meta-regression was used to examine the associations between gross domestic product and disproportionate increases in overweight prevalence by SES, with additional testing for modification by country-level income inequality. In 27 of 37 countries, higher SES (vs. lower) was associated with higher gains in overweight prevalence; in the remaining 10 countries, lower SES (vs. higher) was associated with higher gains in overweight prevalence. Gross domestic product was positively related to faster increase in overweight prevalence among the lower wealth groups. Among countries with a higher gross domestic product, lower income inequality was associated with faster overweight growth among the poor.

Using stylized agent-based models for population-environment research: A case study from the Galápagos Islands

Agent Based Models (ABMs) are powerful tools for population-environment research but are subject to trade-offs between model complexity and abstraction. This study strikes a compromise between abstract and highly specified ABMs by designing a spatially explicit, stylized ABM and using it to explore policy scenarios in a setting that is facing substantial conservation and development challenges. Specifically, we present an ABM that reflects key Land Use / Land Cover (LULC) dynamics and livelihood decisions on Isabela Island in the Galápagos Archipelago of Ecuador. We implement the model using the NetLogo software platform, a free program that requires relatively little programming experience. The landscape is composed of a satellite-derived distribution of a problematic invasive species (common guava) and a stylized representation of the Galápagos National Park, the community of Puerto Villamil, the agricultural zone, and the marine area. The agent module is based on publicly available data and household interviews, and represents the primary livelihoods of the population in the Galápagos Islands - tourism, fisheries, and agriculture. We use the model to enact hypothetical agricultural subsidy scenarios aimed at controlling invasive guava and assess the resulting population and land cover dynamics. Findings suggest that spatially explicit, stylized ABMs have considerable utility, particularly during preliminary stages of research, as platforms for (1) sharpening conceptualizations of population-environment systems, (2) testing alternative scenarios, and (3) uncovering critical data gaps.