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BackgroundEarly childhood is a pivotal period for the development of healthy eating practices. One way to promote child health is to identify early modifiable factors that affect child eating and weight. Given the intergenerational transmission of eating behaviors, this study examined how mothers' eating behaviors were associated with child feeding practices, and whether child weight-for-length (z-WFL) moderated this relation, in a community sample.MethodsParticipants were 72 mother-child dyads. Maternal eating behaviors-emotional, external and restrained-were assessed 9-months postpartum, using the Dutch Eating Behavior Questionnaire. Child feeding-restrictive, pressure, and concern about overeating/overweight or undereating/underweight-was measured using the Infant Feeding Questionnaire, and child z-WFL were assessed 18-months postpartum. Linear regressions were used to test the main effect of maternal eating and the interaction effect of maternal eating and child z-WFL, on child feeding practices.ResultsMaternal restrained eating was associated with child pressure feeding, and contrarily with concerns about overeating/overweight. However, a significant interaction between child z-WFL and both maternal emotional and external eating were found with regard to concern about child undereating/underweight. Paradoxically, among children who weighed more, greater maternal emotional and greater external eating were associated with greater concern about child undereating/underweight.ConclusionsIn this community sample, mothers were more likely to report contradictory feeding practices and concerns, suggesting complicated relations among a mother's own eating behavior, her child's weight, and her perceptions of child eating and weight. This may indicate a need for better communication and support of infant feeding practices.Trial registrationData was collected as part of two grants (MAMAS Grant ID: HL097973-01; SEED Grant ID: HL116511-02) conducted at the University of California, San Francisco (UCSF). All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by institutional review board at UCSF.

Supplemental material, sj-docx-1-cpx-10.1177_21677026221144253 for Longitudinal Stability of Disordered-Eating Symptoms From Age 12 to 40 in Black and White Women by Jordan E. Parker, Jordan A. Levinson, Jeffrey M. Hunger, Craig K. Enders, Barbara A. Laraia, Elissa S. Epel and A. Janet Tomiyama in Clinical Psychological Science

ObjectiveAlthough exposure to abuse in early life predicts earlier pubertal timing, especially for girls, it is unclear if this association generalizes to nonabuse stressors. In addition, the impact of race on the stress-maturation association remains unknown. To address these issues, we examined whether race moderates the effects of early adversity on pubertal timing and tempo using a longitudinal study design.MethodsIn a cohort of 9- and 10-year-old Black and White girls, pubertal (areolar and pubic hair) maturation was assessed annually for 7 years. In adulthood, 368 participants (186 Black, 182 White) reported on abuse and nonabuse stressors they experienced from ages 0 to 12 years.ResultsEarly life abuse was associated with earlier pubertal timing, as indexed by younger age at menarche (b = -0.22, p = .005, 95% confidence interval [CI] = -0.39 to -0.06) and greater pubic hair development (b = 0.11, p = .003, 95% CI = 0.04 to 0.18), in addition to slower pubertal tempo, as indexed by slower rate of pubic hair (b = -0.03, p < .001, 95% CI = -0.05 to -0.01) and areolar (b = -0.02, p = .02, 95% CI = -0.03 to -0.003) development. These associations were not found for nonabuse adversity. Black girls with early life abuse had greater pubic hair development (b = 0.23, p < .001, 95% CI = 0.12 to 0.35) and were slower in pubic hair tempo (b = -0.07, p < .001, 95% CI = -0.09 to -0.04) than their White counterparts.ConclusionsScreening for early life abuse may help address health disparities related to earlier pubertal timing.

ObjectivesTo examine the association between prenatal stress and infant physical health in the first year of life within an understudied, racially and ethnically diverse, highly stressed community sample. We expected that greater stress exposure would predict higher rates of infant illness.Study designLow-income, racially/ethnically diverse, overweight women with low medical risk pregnancies were recruited (2011-2014) during pregnancy. Pregnancy Stressful Life Events were assessed retrospectively (mean, 11.88months postpartum). Perceived stress was assessed twice during pregnancy (at a mean of 17.4weeks and again at a mean of 25.6weeks) and at 6months postpartum. Women with live births (n=202) were invited; 162 consented to the offspring study. Medical records from pediatric clinics and emergency departments for 148 infants were abstracted for counts of total infectious illnesses, total noninfectious illness, and diversity of illnesses over the first year of life.ResultsThe final analytic sample included 109 women (mean age, 28.08years) and their infants. In covariate-adjusted negative binomial models, maternal perceptions of stress across pregnancy were positively associated with infant illness. Each 1-point increase in average stress was associated with a 38% increase in incidence of infant infections (Incidence rate ratio, 1.38; 95% CI, 1.01-1.88; P&nbsp

MAMAS Study Demographic Questionnaire. (PDF 568Â kb)

MAMAS Study Final Evaluation Questionnaire. (PDF 71Â kb)

© The Author 2017. Associations between neighborhood food environment and adult body mass index (BMI; weight (kg)/height (m)2) derived using cross-sectional or longitudinal random-effects modelsmay be biased due to unmeasured confounding and measurement and methodological limitations. In this study, we assessed the within-individual association between change in food environment from 2006 to 2011 and change in BMI among adults with type 2 diabetes using clinical data from the Kaiser Permanente Diabetes Registry collected from 2007 to 2011. Healthy food environment was measured using the kernel density of healthful food venues. Fixed-effects models with a 1-year-lagged BMI were estimated. Separate models were fitted for persons who moved and those who did not. Sensitivity analysis using different lag times and kernel density bandwidths were tested to establish the consistency of findings. On average, patients lost 1 pound (0.45 kg) for each standard-deviation improvement in their food environment. This relationship held for persons who remained in the same location throughout the 5-year study period but not among persons who moved. Proximity to food venues that promote nutritious foods alone may not translate into clinically meaningful diet-related health changes. Community-level policies for improving the food environment need multifaceted strategies to invoke clinically meaningful change in BMI among adult patients with diabetes.

Although evidence exists for an association between income level and diet quality, a causal relationship has not been established. A number of studies found that the price of nutritious food and the time cost to prepare foods are economically driven reasons for this relationship. However, in addition to economic constraints, low-income individuals and families face a number of additional challenges linked with food choice, eating behaviors, and diet-related chronic conditions that contribute to diet quality and health. Low-income individuals have a higher burden of employment-, food-, and housing-related insecurity that threaten the livelihood of their household. Poverty and exposure to these insecurities are hypothesized to activate biobehavioral and psychological mechanisms-endocrine, immune, and neurologic systems-that influence food choice and consumption. Examples of biobehavioral and psychological factors that influence diet are stress, poor sleep, and diminished cognitive capacity. High levels of stress, poor sleep, and cognitive overload compound the challenges of economic constraints, creating a mentality of scarcity that leads to poor diet quality.

© 2016 The Authors. Obesity published by Wiley Periodicals, Inc. on behalf of The Obesity Society (TOS). Objective To determine whether adding mindfulness-based eating and stress management practices to a diet-exercise program improves weight loss and metabolic syndrome components. Methods In this study 194 adults with obesity were randomized to a 5.5-month program with or without mindfulness training and identical diet-exercise guidelines. Intention-to-treat analyses with multiple imputation were used for missing data. The primary outcome was 18-month weight change. Results Estimated effects comparing the mindfulness to control arm favored the mindfulness arm in (a) weight loss at 12 months, -1.9 kg (95% CI: -4.5, 0.8; P = 0.17), and 18 months, -1.7 kg (95% CI: -4.7, 1.2; P = 0.24), though not statistically significant; (b) changes in fasting glucose at 12 months, -3.1 mg/dl (95% CI: -6.3, 0.1; P = 0.06), and 18 months, -4.1 mg/dl (95% CI: -7.3, -0.9; P = 0.01); and (c) changes in triglyceride/HDL ratio at 12 months, -0.57 (95% CI: -0.95, -0.18; P = 0.004), and 18 months, -0.36 (95% CI: -0.74, 0.03; P = 0.07). Estimates for other metabolic risk factors were not statistically significant, including waist circumference, blood pressure, and C-reactive protein. Conclusions Mindfulness enhancements to a diet-exercise program did not show substantial weight loss benefit but may promote long-term improvement in some aspects of metabolic health in obesity that requires further study.

ObjectiveIt 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 methodsSubjects (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.ResultsThe 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 (

ObjectiveTo compare associations between neighborhood deprivation and measures of BMI change among adults with type 2 diabetes.Research design and methodsUsing data from the Kaiser Permanente Diabetes Study of Northern California (DISTANCE) survey, we estimated the association between neighborhood deprivation and two measures of BMI change over 3 years: 1) a continuous measure and 2) a categorical measure of clinically substantive BMI loss or gain (≥7% of baseline BMI) versus stable BMI. The sample included 13,609 adults.ResultsOn average, there was little change in BMI (-0.12, SD 3.07); 17.0 and 16.1% had clinically substantive BMI loss or gain, respectively, at follow-up. There was a positive association between neighborhood deprivation and BMI change for adults in the most versus least-deprived quartile of neighborhood deprivation (β = 0.22, P = 0.02) in adjusted models. In addition, relative to the least-deprived quartile (Q1), adults in more-deprived quartiles of neighborhood deprivation were more likely to experience either substantive BMI loss (Q2 relative risk ratio 1.19, 95% CI 1.00-1.41; Q3 1.20, 1.02-1.42; Q4 1.30, 1.08-1.55) or gain (Q2 1.25, 1.04-1.49; Q3 1.24, 1.04-1.49; Q4 1.45, 1.20-1.75).ConclusionsGreater neighborhood deprivation was positively associated with BMI change among adults with diabetes as well as with clinically substantive BMI loss or gain. Findings stress the importance of allowing for simultaneous associations with both gain and loss in future longitudinal studies of neighborhood deprivation and weight change, which may be particularly true for studies of patients with diabetes for whom both weight loss and gain have health implications.

IntroductionSmall food stores are prevalent in urban neighborhoods, but the availability of nutritious food at such stores is not well known. The objective of this study was to determine whether data from 3 sources would yield a single, homogenous, healthful food store category that can be used to accurately characterize community nutrition environments for public health research.MethodsWe conducted in-store surveys in 2009 on store type and the availability of nutritious food in a sample of nonchain food stores (n = 102) in 6 predominantly urban counties in Northern California (Alameda, Contra Costa, Marin, Sacramento, San Francisco, and Santa Clara). We compared survey results with commercial database information and neighborhood sociodemographic data by using independent sample t tests and classification and regression trees.ResultsSampled small food stores yielded a heterogeneous group of stores in terms of store type and nutritious food options. Most stores were identified as convenience (54%) or specialty stores (22%); others were small grocery stores (19%) and large grocery stores (5%). Convenience and specialty stores were smaller and carried fewer nutritious and fresh food items. The availability of nutritious food and produce was better in stores in neighborhoods that had a higher percentage of white residents and a lower population density but did not differ significantly by neighborhood income.ConclusionCommercial databases alone may not adequately categorize small food stores and the availability of nutritious foods. Alternative measures are needed to more accurately inform research and policies that seek to address disparities in diet-related health conditions.

Background Neighborhood characteristics have been associated with poor maternal and child health outcomes, yet conceptualization of potential mechanisms is still needed. Census data have long served as proxies for area level socioeconomic influences. Unique information captured by neighborhood inventories, mostly conducted in northern US and Canadian urban areas, has shown important aspects of the community environment that are not captured by the socioeconomic and demographic aggregated individual statistics of census data. In this paper, we describe a neighborhood data collection effort tailored to a southern urban area. Methods This study used data from the Pregnancy, Nutrition and Infection (PIN) prospective cohort study to describe neighborhoods where low- and moderate-income pregnant women reside. Women who participated in the PIN study and who resided in Raleigh, NC and its surrounding suburbs were included (n = 703). Neighborhood attributes captured by the inventory included litter, housing condition, road condition, and social interactions that informed theoretical constructs of physical incivility, territoriality and social spaces. US Housing and Population Census 2000 data at the block group level were also assessed to identify the unique contribution of directly observed data. We hypothesize that neighborhood environments can influence health through psychosocial mediated pathways that lead to increased stress, or through disadvantage leading to poor neighborhood resources, or by protective attributes through increased social control. Results Findings suggest that directly observed neighborhood attributes distinguished between different types of areas in which low-income pregnant non-Hispanic white and non-Hispanic black women lived. Theoretically informed scales of physical incivilities, territoriality and social spaces were constructed and found to be internally consistent. Scales were weakly associated indicating that these constructs capture distinct information about these neighborhoods. Physical incivilities, territoriality and social spaces scales were poorly explained by traditional census variables used to proxy neighborhood environment. Conclusion If neighborhoods influence health through psychosocial mediated pathways then careful detailing of neighborhood attributes that contribute to stress or deterioration, beyond traditional socioeconomic status, are needed. We believe that measuring physical incivility, territoriality and social spaces as expressions of underlying issues of maintenance and social communication make important contributes to this field.

MAMAS Study Facilitator Fidelity Assessment. (PDF 292Â kb)

MAMAS Study Final Evaluation Questionnaire. (PDF 71Â kb)

MAMAS Study Facilitator Fidelity Assessment. (PDF 292Â kb)