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 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.

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.

Differences in magnitude and rate of change in adult obesity distribution by age and sex in Mexico, Colombia and Peru, 2005-2010.

OBJECTIVE: Unequal obesity distributions among adult populations have been reported in low- and middle-income countries, but mainly based on data of women of reproductive age. Moreover, incorporation of ever-changing skewed BMI distributions in analyses has been a challenge. Our study aimed to assess magnitude and rates of change in BMI distributions by age and sex. DESIGN: Shapes of BMI distributions were estimated for 2005 and 2010, and their changes were assessed, using the generalized additive model for location, scale and shape (GAMLSS) and assuming BMI follows a Box-Cox power exponential (BCPE) distribution. SETTING: Nationally representative, repeated cross-sectional health surveys conducted between 2005 and 2013 in Mexico, Colombia and Peru. SUBJECTS: Adult men and non-pregnant women aged 20-69 years. RESULTS: Whereas women had more right-shifted and wider BMI distributions than men in almost all age groups across the countries in 2010, men in their 30s-40s experienced more rapid increases in BMI between 2005 and 2010, notably in Peru. The highest increase in overweight and obesity prevalence was observed among Peruvian men of 35-39 years, with a 5-year increase of 21 percentage points. CONCLUSIONS: The BCPE-GAMLSS method is an alternative to analyse measurements with time-varying distributions visually, in addition to conventional indicators such as means and prevalences. Consideration of differences in BMI distributions and their changes by sex and age would provide vital information in tailoring relevant policies and programmes to reach target populations effectively. Increases in BMI portend increases of obesity-associated diseases, for which preventive and preparative actions are urgent.

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 (ß = 5.09; 90% confidence interval [CI], 1.17-9.01). Casino-owning tribes had more resources related to community infrastructure (ß = 1.81; 90% CI, 0.81-2.80), social determinants of health (ß = 1.45; 90% CI, 0.24-2.67) and recreational infrastructure (ß = 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.

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.

Pathways of the association between maternal employment and weight status among women and children: Qualitative findings from Guatemala.

The double burden of malnutrition, defined by the coexistence of undernutrition and overweight, is well documented in low- and middle-income countries. However, the mechanisms by which employment may be related to maternal and child weight status in low- and middle-income countries are not well understood. We conducted in-depth interviews among 20 mothers who participated in Project MIEL, a contemporary trial which evaluated the effects of an integrated micronutrient supplement and parenting intervention in rural Guatemala. We utilized semi-structured interviews to explore the pathways by which maternal employment might influence bodyweight. Interviews were structured to explore the factors that mothers considered when deciding whether or not to participate in the labor force and how mothers perceived the influence of employment on determinants of their own bodyweight and that of their children. Themes were used to develop a conceptual framework. Mothers described four pathways through which employment could lead to changes in weight status: changes in food purchasing; improved household well-being; changes in time allocation; and psychological effects. Mothers described purchasing increased quantities and more varied types of food, as well as the purchase of energy-dense foods. Less time to devote to food preparation resulted in mothers preparing quicker meals and relying on substitute childcare. Mothers also expressed feelings of worry and neglect in relation to being employed, and perceived that these feelings would affect weight. A better understanding of these mechanisms is important for developing policies and programs to support women in the workplace and also reducing maternal and child overweight in Guatemala.

The weight of work: the association between maternal employment and overweight in low- and middle-income countries.

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.

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.

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.

Maternal employment and childhood overweight in low- and middle-income countries.

OBJECTIVE: To investigate the association between maternal employment and childhood overweight in low- and middle-income countries (LMIC). Design/Setting We utilized cross-sectional data from forty-five Demographic and Health Surveys from 2010 to 2016 (n 268 763). 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 (BMI Z-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 BMI Z-score and normal weight (weight-for-age Z-score≥-2 to <2) as outcomes. SUBJECTS: Participants included children 0-5 years old and their mothers (aged 18-49 years). RESULTS: In 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 BMI Z-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). CONCLUSIONS: We find no clear association between employment and child overweight. However, maternal employment is associated with a modestly higher BMI Z-score and normal weight, suggesting that employment is currently associated with beneficial effects on children's weight status in most LMIC.

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.

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 (ß(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 (ß(taste) = -0.38; 95% CI, -0.60 to -0.15) and cost (ß(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.

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.