Cumulative environmental stress and emerging cardiometabolic risk during childhood.

OBJECTIVE: To prospectively evaluate the relationship between cumulative environmental stress and cardiometabolic risk in middle childhood, and to examine whether hair cortisol, a measure of hypothalamic pituitary adrenal-axis activity, mediates this relationship. METHODS: In a cohort of children from low-income households (n = 320; 59% Hispanic, 23% Black, body mass index (BMI) percentile >50th at enrollment), environmental stressors including family and neighbourhood factors representing disadvantage/deprivation, and cortisol concentrations from hair samples, were measured over five timepoints beginning when children were 2-4 years old. Cardiometabolic risk factors (i.e., BMI, blood pressure, lipids, blood sugar, C-reactive protein) were measured at the final timepoint when children were 7-11 years of age. RESULTS: In adjusted logistic regression models, greater cumulative environmental stress was associated with a higher likelihood of elevated cardiometabolic risk in middle childhood (p = 0.01). Children from minoritized racial/ethnic groups had a higher prevalence of both stressors and cardiometabolic risk factors. Cumulative environmental stress was associated with higher hair cortisol concentrations (p < 0.01). However, hair cortisol was not directly associated with cardiometabolic risk factors and did not explain the association between environmental stress and cardiometabolic risk in causal mediation analysis. CONCLUSIONS: The influence of cumulative stress on cardiometabolic health can be observed in middle childhood and may contribute to cardiometabolic health disparities, highlighting the importance of public health interventions to mitigate disadvantage.

The Relationship between Household SNAP Participation, Parent Feeding Styles, and Child Eating Behaviors.

This cross-sectional analysis of the Minnesota Now Everybody Together for Amazing Healthful Kids (NET-Works) study evaluated whether SNAP participation was associated with specific parental feeding styles and child eating behaviors. Associations between parent-reported feeding styles and child eating behaviors and SNAP participation were examined using multiple linear regression analyses and responses from 534 parent/child dyads (49.1% female children, 91.7% female parents). SNAP participation was not associated with specific feeding styles or child eating behaviors when adjusting for food insecurity, timing in SNAP cycle, and other covariates in this large, ethnically and racially diverse sample of predominantly mothers and preschool-aged children. Other factors, such as food insecurity, not SNAP participation, may influence parental feeding and child eating behaviors, and screening by health care providers is recommended.

Effects of Inclusion of Food Purchase Restrictions and Incentives in a Food Benefit Program on Diet Quality and Food Purchasing: Results From a Randomized Trial.

BACKGROUND: There is interest in reshaping the Supplemental Nutrition Assistance Program (SNAP) to better support family nutrition. OBJECTIVE: The Grocery Assistance Program Study (GAPS) for Families evaluated the effects of prohibiting using program funds for the purchase of certain sugary foods on the nutritional quality of foods purchased and consumed by program participants. DESIGN: A randomized experimental trial was carried out with participants randomized to one of three food benefit conditions. Baseline and follow-up measures collected included interviewer-administered 24-hour dietary recalls, food purchase receipts, food security, height, and weight. PARTICIPANT/SETTING: Adult-child dyads in households eligible for SNAP but currently not enrolled were recruited from the Minneapolis/St Paul MN metropolitan area from May of 2018 through May of 2019. A total of 293 adult-child dyads received the intervention as allocated. Of these dyads, 233 adults completed follow-up measures and met criteria for inclusion in the analytic sample, resulting in an attrition rate of 20.5%. A total of 224 children completed follow-up measures and met criteria for inclusion in the analytic sample, resulting in an attrition rate of 23.5%. INTERVENTION: Participants were randomized to 1 of 3 conditions: restriction (not allowed to buy sugar-sweetened beverages [SSB], sweet baked goods, or candy with program funds); restriction paired with incentive (30% incentive for fruits and vegetables [FV] purchased with funds); and control (funds provided with no restrictions or incentives). Funds were provided on a 4-week cycle for 20 weeks via a study-provided debit card. MAIN OUTCOME MEASURES: The primary outcome was the Healthy Eating Index (HEI)-2015 total score. Additional outcomes included selected HEI-2015 component scores; energy intake; food security; body weight; and purchasing of SSB, sweet baked goods, candies, fruits, and vegetables. STATISTICAL ANALYSIS: Linear regression analyses were conducted with change in the outcome regressed on treatment condition for the primary outcome analyses. RESULTS: No differences were observed between conditions in change in the nutrition and food security measures examined. Purchases of SSB and sweet baked goods and candies significantly differed by experimental condition. Purchase of restricted foods was lower at follow-up in the restriction and restriction paired with incentive conditions compared with the control condition. For example, spending on SSB at follow-up was significantly lower in the restriction ($2.66/week) and restriction paired with incentive ($2.06/week) conditions in comparison with control condition ($4.44/week) (P < 0.0003 and P < 0.0001, respectively). CONCLUSIONS: This study failed to find evidence in support of prohibiting the purchase of sugary foods with food program funds as a strategy to improve program participant nutrition, even when paired with an FV incentive. Research carried out in the context of the SNAP program is needed for a more robust evidence base.

Body Mass Index Trajectories and Biomarkers of Cardiometabolic Risk in Children from Low-Income and Racially and Ethnically Diverse Households.

Background: This study examined the associations between BMI trajectories and emerging cardiometabolic risk (CMR) in children living in low-income and racially and ethnically diverse households in the United States. Methods: Data were drawn from NET-Works randomized intervention trial and NET-Works 2 prospective follow-up study (N = 338). BMI was measured across 6 follow-up visits and biomarkers of cardiometabolic risk (CMR) at the sixth visit. Group-based trajectory modeling identified child BMI trajectories. Adjusted multivariable linear regressions evaluated the associations between BMI trajectories and CMR. Results: We identified two BMI trajectories: 25% followed a trajectory of steep BMI increase, and 75% followed a moderate decreasing BMI trajectory over time. Relative to children in the moderate decreasing trajectory, children in the increasing trajectory had higher adjusted mean levels of C-reactive protein [CRP; 3.3; 95% confidence interval (CI): 1.6 to 5.0], leptin (63.1; 95% CI: 44.3 to 81.8), triglycerides (35.4; 95% CI: 22.1 to 48.6), triglyceride/high-density lipoprotein (HDL) ratio (1.2; 95% CI: 0.8 to 1.6), hemoglobin A1c (HbA1C; 0.1; 95% CI: 0.03 to 0.2), fasting glucose (1.8; 0.1 to 3.5) and insulin (8.8; 95% CI: 6.5 to 11.0), overall CMR score (0.7; 95% CI: 0.5 to 0.9), and lower adiponectin (-1.3; 95% CI: -2.5 to -0.1) and HDL (-10.8; 95% CI: -14.3 to -7.4). Conclusions: Children with high BMIs early in childhood were more likely to maintain an accelerated BMI trajectory throughout childhood, which was associated with adverse CMR in pre-adolescence. To advance health equity and support children's healthy weight and cardiovascular health trajectories, public health efforts are needed to address persistent disparities in childhood obesity and CMR.

NET-Works paediatric obesity prevention trial: 66 month outcomes.

BACKGROUND AND OBJECTIVES: The NET-Works trial (2012-2018) randomized 534 children ages 2-4 years at baseline and their caregivers to either a 3-year multicomponent obesity prevention intervention or a control group. This research examined treatment effects on body mass index and other outcomes at 66 months. METHODS: Parent-child dyads (n = 338) who agreed to participate in a 66 month measurement visit were measured for child BMI, physical activity, diet, and cardiometabolic risk factor variables. RESULTS: At 66 months, no significant treatment effects were observed on BMI (Effect = -0.38; 95% CI = -1.13, 0.37). Subgroup results were consistent with the NET-Works 36 month results. Children with overweight at baseline in the intervention group gained significantly less BMI versus children with overweight in the control group (Effect = -1.28; 95% CI = -2.48, -0.07). Among Hispanic children, those in the intervention gained significantly less BMI than those in the control group (Effect = -1.04; 95% CI = -1.97, -0.11). CONCLUSIONS: Evidence suggests that early intervention with children at highest risk for obesity, using community-based, multicomponent, multisetting interventions, may be effective in reducing excess weight gain and obesity among certain subgroups of children. The intervention appeared to be effective in slowing BMI gain 66 months after randomization among children who were already overweight at ages 2-4 years and among children of Hispanic ethnicity.

Is economic hardship associated with young children's cortisol levels?

Economic hardship during childhood has been linked to poor physical and mental health. This study examines cross-sectional and longitudinal associations of a summed economic hardship score of poverty, food insecurity, and financial hardship with hair cortisol in young children. Data from 24-month (Time 1, mean age 5 years) and 36-month (Time 2, mean age 6 years) follow-up from the NET-Works obesity prevention trial (NET-Works, NCT0166891) were used. Hair cortisol measures obtained at each time point were log-transformed and regressed on economic hardship at Time 1 and a cumulative economic hardship from Time 1 to Time 2, using generalized linear regressions. All models were adjusted for child age, sex, race/ethnicity, and intervention (prevention vs. control) arm. The final analytic sample sizes ranged from 248 to 287. Longitudinal analyses indicated that for every 1-unit higher economic hardship score at Time 1, hair cortisol at Time 2 follow-up was on average 0.07 log-picograms per milligram (pg/mg) higher (95% confidence interval [CI]: 0.01, 0.13). For every 1-unit increase in the cumulative economic hardship score between Time 1 and 2, there was a 0.04 log-pg/mg (95% CI: 0.00, 0.07) average higher level of hair cortisol at Time 2 follow-up. Results show suggestive but limited evidence for an association between economic hardship and cortisol in young children.

Household Income, Cortisol, and Obesity During Early Childhood: A Prospective Longitudinal Study.

OBJECTIVE: To prospectively evaluate the relationship between household income, children's cortisol, and body mass index (BMI) trajectories over a 3-year period in early childhood. STUDY DESIGN: Household income, child hair cortisol levels, and BMI were measured at baseline, 12-, 24-, and 36-month follow-up visits in the Now Everybody Together for Amazing and Healthful Kids (NET-Works) Study (n = 534, children ages 2-4 years, and household income <$65 000/year at baseline). Relationships were examined between very low household income (<$25 000/year) at baseline, income status over time (remained <$25 000/year or had increasing income), cortisol accumulation from hair samples, and BMI percent of the 95th percentile (BMIp95) trajectories using adjusted linear growth curve modeling. Households with baseline income between $25 000 and $65 000/year were the reference group for all analyses. RESULTS: Children from very low-income households at baseline had annual changes in BMIp95 that were higher (P < .001) than children from reference group households (0.40 vs -0.62 percentage units/year). Annual increases in BMIp95 were also greater among children from households that remained very low income (P < .01, .34 percentage units/year) and among those with increasing income (P = .01, .51 percentage units/year) compared with the reference group (-0.61 percentage units/year). Children from households that remained very low income had higher hair cortisol accumulations (0.22 pg/mg, P = .02) than reference group children, whereas hair cortisol concentrations of children from households with increasing income (0.03 pg/mg) did not differ significantly from the reference group. Cortisol was not related to BMIp95. CONCLUSIONS: The economic circumstances of families may impact children's BMI trajectories and their developing stress systems, but these processes may be independent of one another.

Race/ethnicity and age associations with hair cortisol concentrations among children studied longitudinally from early through middle childhood.

A total of 513 children were included in this secondary analysis of data from the NET-Works trial of low income children at risk for obesity. The purpose of the analysis was to examine HCC longitudinally over 5 assessments from early through middle childhood with the goal of i) determining if there were racial/ethnic differences in HCC, and if so, how early in childhood these differences could be observed; and (ii) whether racial/ethnic differences in HCC reflected structural and family-level indicators of disadvantage. The sample consisted of children from diverse racial/ethnic backgrounds: Black, including Hispanic Black (N = 156), non-Hispanic White (N = 67) and Non-Black Hispanic (N = 290) children. As the largest group, the last group was used as the reference group in analyses. Structural and family-level indicators of disadvantage, including the neighborhood child opportunity index (COI), family income, and parent perceived neighborhood safety, were collected at each assessment. The results showed higher HCC among Black children beginning as early as 2-4 years of age than non-Black Hispanic children who did not differ from non-Hispanic White children. Although family income and COI were lower for children from minoritized racial-ethnic backgrounds, entering these measures as covariates did not reduce the difference in HCC between Black children and the other two groups. The results also showed that HCC initially decreased with age and then plateaued, with no evidence that this pattern differed by race/ethnicity. Because of the potential health risks of chronically elevated cortisol concentrations, these data argue for increased attention to the myriad of factors (oppressive structures, systems, and interpersonal experiences) that likely contribute to elevated cortisol levels among Black children.

The relative contributions of adiposity and activity levels to physical performance in children with excess weight.

OBJECTIVE: This study examined predictors of physical performance, a key aspect of quality of life, in children with excess weight. METHODS: Participants were 269 children aged 6-12 years with a body mass index above the 85th percentile. Children completed a standardized physical performance task capturing lower extremity strength, balance, and gait speed. Height, weight, and waist circumference were objectively measured, and daily moderate-vigorous physical activity (min/day) and sedentary time (% of day) were assessed with a 7-day accelerometer protocol. RESULTS: Physical performance task completion averaged 15.0 (SD = 2.5) seconds. Children with higher body mass index z-scores and waist circumferences had significantly longer task completion times. The task took 1.8 additional seconds per 1.0 body mass index z-score (p < .001), and 1.2 additional seconds for every 20 cm higher waist circumference (p < .001). Daily moderate-vigorous physical activity and sedentary time were unrelated to physical performance, and did not moderate its associations with the adiposity measures. CONCLUSION: Among children with excess weight, physical performance declines with increasing levels of total and central adiposity. Daily activity levels do not moderate this association. Interventions that directly target weight reduction would likely yield the greatest improvement in physical performance in children with overweight or obesity.

Attenuated efficacy of pediatric obesity treatment during the COVID-19 pandemic.

OBJECTIVE: This study examined whether the efficacy of a standard-of-care pediatric obesity treatment was affected by the COVID-19 pandemic. METHODS: Analyses leveraged data from an ongoing pediatric obesity treatment trial involving 230 lower-income, urban children aged 6 to 12 years. Mixed-effects regression models compared children who participated in a 12-month weight-management intervention before versus during the COVID-19 pandemic on change from baseline in BMI z score (ΔzBMI) at 3, 6, 9, and 12 months. RESULTS: The observed pattern of ΔzBMI was significantly different before versus during the pandemic (χ2 = 22.73, p < 0.0001). Children treated before the pandemic maintained an average weight loss of -0.06 ΔzBMI at 12 months, whereas children treated during the pandemic steadily gained weight over time, averaging a net gain of 0.11 ΔzBMI at 12 months (χ2 = 34.99, p < 0.0001). Treatment session completion did not differ before versus during the pandemic (60.4% vs. 55.7%, respectively; p = 0.30) or account for differences in ΔzBMI. CONCLUSIONS: Similar reductions in intervention efficacy may be anticipated in other pediatric obesity treatment trials conducted during the COVID-19 pandemic. Many families that have struggled with managing their child's weight during this period may need encouragement to continue engaging in structured weight management as society renormalizes.

The impact of financial incentives and restrictions on cyclical food expenditures among low-income households receiving nutrition assistance: a randomized controlled trial.

BACKGROUND: The Supplemental Nutrition Assistance Program (SNAP) is the largest anti-hunger program in the United States. Two proposed interventions to encourage healthier food expenditures among SNAP participants have generated significant debate: financial incentives for fruits and vegetables, and restrictions on foods high in added sugar. To date, however, no study has assessed the impact of these interventions on the benefit cycle, a pattern of rapid depletion of SNAP benefits that has been linked to worsening nutrition and health outcomes over the benefit month. METHODS: Low-income households not currently enrolled in SNAP (n = 249) received benefits every 4 weeks for 12 weeks on a study-specific benefit card. Households were randomized to one of four study arms: 1) incentive (30% incentive for fruits and vegetables purchased with study benefits), 2) restriction (not allowed to buy sugar-sweetened beverages, sweet baked goods, or candy using study benefits), 3) incentive plus restriction, or 4) control (no incentive or restriction). Weekly household food expenditures were evaluated using generalized estimating equations. RESULTS: Compared to the control group, financial incentives increased fruit and vegetable purchases, but only in the first 2 weeks after benefit disbursement. Restrictions decreased expenditures on foods high in added sugar throughout the benefit month, but the magnitude of the impact decreased as the month progressed. Notably, restrictions mitigated cyclical expenditures. CONCLUSIONS: Policies to improve nutrition outcomes among SNAP participants should consider including targeted interventions in the second half of the month to address the benefit cycle and attendant nutrition outcomes. TRIAL REGISTRATION: ClinicalTrial.gov, NCT02643576 . Retrospectively registered December 22, 2014.

Associations between shopper impulsivity and cyclical food purchasing: Results from a prospective trial of low-income households receiving monthly benefits.

Supplemental Nutrition Assistance Program (SNAP) benefits are rapidly depleted after distribution. This phenomenon, known as the benefit cycle, is associated with poor nutrition and health outcomes. Proposed interventions targeting the benefit cycle often focus on impulsive decision-making. However, it remains unclear whether shopper impulsivity is associated with food purchasing behavior. Using data from a prospective trial, we evaluate whether shopper impulsivity is associated with food purchasing behavior before and after households receive nutrition assistance. In this study, 249 low-income households in the Minneapolis-St. Paul, Minnesota, metropolitan area received monthly benefits for three months. Overall impulsivity and impulsivity subtraits of the primary shopper was assessed using the Barratt Impulsiveness Scale-11. Both total food expenditures and expenditures for two specific categories (fruits and vegetables, and foods high in added sugar) were evaluated. Generalized estimating equations were used to model household expenditures as a function of week since benefit distribution, impulsivity, and their interaction. Results showed that during the benefit period, food expenditures were cyclical and patterned by impulsivity. Shoppers with greater overall impulsivity spent $40.62 more in week 1 (p < 0.001). While more impulsive shoppers spent more on foods high in added sugar throughout the month (p < 0.05 for all weeks), no patterns were observed for fruits and vegetables. These findings suggest that greater impulsivity exacerbates cyclical food purchasing behavior. The impact of shopper impulsivity is especially notable for expenditures on foods high in added sugar. SNAP educational interventions to mitigate the benefit cycle may be strengthened by focusing on more impulsive shoppers and on strategies to reduce impulsive purchases of foods high in added sugar.

Three-Year Changes in Low-Income Children's Physical Activity: Prospective Influence of Neighborhood Environment and Parent Supportive Behavior.

Objectives: To prospectively evaluate parent supportive behaviors (PSB) for child physical activity (PA) and neighborhood environment variables on changes in child PA over 3 years. Study design: Secondary data analysis of the Now Everybody Together for Amazing and Healthful Kids-Works study with 534 parent-child (age 2-4 years) dyads randomized to a community-based pediatric obesity prevention intervention for 3 years (92% retention). PSB and neighborhood environmental variables were examined in relation to changes in child moderate-to-vigorous PA (MVPA), light and sedentary activity, and screen time. Child and parent accelerometry data were collected at visit 0, 12, 24, and 36 months. Mixed multivariate models were used to examine independent and interactive effects of parent-level and neighborhood-level variables on changes in child PA outcomes. Results: PSB significantly interacted with visit on change in child MVPA (ß = 0.12) and sedentary behaviors (ß = -0.18). Over 3 years, a 1-unit increase in PSB was associated with an average increase of 4.3 minutes/day of MVPA and an average decrease of 6.5 minutes/day of sedentary time. Significant main effects were observed for PSB and 3-year change in child screen time (ß = -0.05). The children of parents with higher PSB at baseline watched an average of 1.8 fewer minutes/day of screen time compared with parents with lower baseline PSB. Neighborhood-level variables were not significantly associated with changes in child PA outcomes. Conclusions: Parents who increase their supportive behaviors for their child's PA have children who are more physically active and less sedentary over time. Interventions to increase preschool-age children's PA may enhance their effectiveness by targeting parents' supportive behaviors for their child's PA.

Trends in cyclical food expenditures among low-income households receiving monthly nutrition assistance: results from a prospective study.

OBJECTIVE: Supplemental Nutrition Assistance Program (SNAP) benefits are rapidly depleted after distribution. This phenomenon, known as the benefit cycle, is associated with poor nutrition and health outcomes. However, to date, no study has evaluated trends in food expenditures before and after households receive benefits using prospective data, and whether these trends vary by household characteristics. DESIGN: Generalised estimating equations were used to model weekly household food expenditures during baseline (pre-benefit) and intervention months by vendor (restaurants and food retailers). Food retailer expenditures were further evaluated by food category (fruits and vegetables and foods high in added sugar). All expenditures were evaluated by household composition, demographics and economic means. SETTING: Minneapolis-St. Paul, Minnesota, metropolitan area. PARTICIPANTS: Low-income households (n 249) enrolled May 2013-August 2015. RESULTS: Weekly food retailer expenditures did not vary during baseline (pre-benefit), but demonstrated a cyclical pattern after households received benefits across all household characteristics and for both food categories, particularly for fruits and vegetables. Households with greater economic resources spent more throughout the month compared with those with fewer resources. Households with lower food security status experienced more severe fluctuations in spending compared with more food secure households. CONCLUSIONS: Cyclical food purchasing was observed broadly across different household characteristics and food categories, with notable differences by household economic means and food security status. Proposed SNAP policy changes designed to smooth food expenditures across the benefit month, such as increased frequency of benefit distribution, should include a focus on households with fewest resources.

Within- and Between-Household Variation in Food Expenditures Among Low-Income Households Using a Novel Simple Annotated Receipt Method.

Background: Household food purchasing behavior has gained interest as an intervention to improve nutrition and nutrition-associated outcomes. However, evaluating food expenditures is challenging in epidemiological studies. Assessment methods that are both valid and feasible for use among diverse, low-income populations are needed. We therefore developed a novel simple annotated receipt method to assess household food purchasing. First, we describe and evaluate the extent to which the method captures food purchasing information. We then evaluate within- and between-household variation in weekly food purchasing to determine sample sizes and the number of weeks of data needed to measure household food purchasing with adequate precision. Methods: Four weeks of food purchase receipt data were collected from 260 low-income households in the Minneapolis-St. Paul metropolitan area. The proportion of receipt line items that could not be coded into one of 11 food categories (unidentified) was calculated, and a zero-inflated negative binomial regression was used to evaluate the association between unidentified receipt items and participant characteristics and store type. Within- and between-household coefficients of variation were calculated for total food expenditures and several food categories. Results: A low proportion of receipt line items (1.6%) could not be coded into a food category and the incidence of unidentified items did not appreciably vary by participant characteristics. Weekly expenditures on foods high in added sugar had higher within- and between-household coefficients of variation than weekly fruit and vegetable expenditures. To estimate mean weekly food expenditures within 20% of the group's usual ("true") expenditures, 72 households were required. Nine weeks of data were required to achieve an r = 0.90 between observed and usual weekly food expenditures. Conclusions: The simple annotated receipt method may be a feasible tool for use in assessing food expenditures of low-income, diverse populations. Within- and between-household coefficients of variation suggest that the number of weeks of data or group sizes required to precisely estimate usual household expenditures is higher for foods high in added sugar compared to fruits and vegetables.

Weight change over 9 years and subsequent risk of venous thromboembolism in the ARIC cohort.

BACKGROUND/OBJECTIVES: Weight gain increases risk of cardiovascular disease, but has not been examined extensively in relationship to venous thromboembolism (VTE). The association between weight change over 9 years and subsequent VTE among participants in the Atherosclerosis Risk in Communities (ARIC) study was examined, with a hypothesis that excess weight gain is a risk factor for VTE, relative to no weight change. SUBJECTS/METHODS: Quintiles of 9-year weight change were calculated (visit 4 1996-1998 weight minus visit 1 1987-1989 weight in kg: Quintile 1: ≥-1.81 kg; Quintile 2: <-1.81 to ≤1.36 kg; Quintile 3: >1.36 to ≤4.08 kg; Quintile 4: >4.08 to ≤7.71 kg; Quintile 5: >7.71 kg). Incident VTEs from visit 4 (1996-1998) through 2015 were identified and adjudicated using medical records. Hazard ratios (HRs) were calculated using Cox models. RESULTS: 529 incident VTEs were identified during an average of 19 years of follow up. Compared to Quintile 2, participants in Quintile 5 of weight change had 1.46 times the rate of incident VTE (HR = 1.46 (95% CI 1.09, 1.95), adjusted for age, race, sex, income, physical activity, smoking, and prevalent CVD). The HR for Quintile 5 was modestly attenuated to 1.38 (95% CI 1.03, 1.84) when visit 1 BMI was included in the model. When examined separately, results were significant for unprovoked VTE, but not for provoked VTE. Among those obese at visit 1, both weight gain (HR 1.86 95% CI 1.27, 2.71) and weight loss (HR 2.11 95% CI 1.39, 3.19) were associated with incident VTE, compared with normal-weight participants with no weight change. CONCLUSIONS: Weight gain later life was associated with increased risk for unprovoked VTE. Among those with obesity, both weight gain and weight loss were associated with increased risk for VTE.

A Bidirectional Analysis of Feeding Practices and Eating Behaviors in Parent/Child Dyads from Low-Income and Minority Households.

OBJECTIVE: To prospectively examine the bidirectional relationship between parental feeding practices (eg, instrumental feeding, encouragement to eat) and child eating behaviors (eg, food responsiveness, emotional eating) in low-income, ethnically diverse preschool children over a 3-year period. STUDY DESIGN: Parent/child (age 2-4 years at baseline) pairs (n = 222 non-Hispanics; n = 312 Hispanics) participated in NET-Works (Now Everybody Together for Amazing and Healthful Kids), a randomized controlled trial carried out in community and in-home settings in urban areas of Minnesota. Data were collected at baseline and 12, 24, and 36 months. The present study is a secondary data analysis using cross-lagged models to identify bidirectional associations between parental feeding practices and child eating behaviors. RESULTS: Three models showed significant cross-lagged effects (P < .05): model 1, parental instrumental feeding influencing later child food responsiveness; model 2, parental emotional feeding influencing later child food responsiveness; and model 3, parental emotional feeding influencing later child eating satiety. Model 1 showed significant bidirectional temporal paths, whereas models 2 and 3 showed significant unidirectional temporal paths from parental feeding practices to child eating behaviors. CONCLUSIONS: Parental instrumental and emotional feeding practices prospectively influence child food responsiveness and satiety. This study demonstrates causal temporality between parental feeding practices and child eating behaviors. Heath care providers may want to use findings regarding parent feeding practices as part of their anticipatory guidance during well-child visits with parents of preschoolers.

Importance of the Supplemental Nutrition Assistance Program in Rural America.

There is great interest in reshaping the Supplemental Nutrition Assistance Program (SNAP) so that it better supports family nutrition, and an array of program changes have been proposed.We note the importance of considering the unique needs of rural SNAP participants when considering and implementing these changes. We also describe the SNAP-related needs and challenges unique to rural SNAP participants, and through this lens we discuss changes to SNAP that have been proposed and special considerations related to each. The special considerations we identified include allowing canned, frozen, and dried fruits and vegetables as eligible items in financial incentive programs in rural areas; changing direct education programming to address transportation-related barriers many rural families face in attending in-person classes; and supporting rigorous research to evaluate the potential benefits and unintended consequences of proposed program changes for which scant high-quality evaluation data exist.Evaluation studies should include rural SNAP participants so that effects in this important population group are known.

Recruitment strategies for predominantly low-income, multi-racial/ethnic children and parents to 3-year community-based intervention trials: Childhood Obesity Prevention and Treatment Research (COPTR) Consortium.

BACKGROUND: The recruitment of participants into community-based randomized controlled trials studying childhood obesity is often challenging, especially from low-income racial/ethnical minorities and when long-term participant commitments are required. This paper describes strategies used to recruit and enroll predominately low-income racial/ethnic minority parents and children into the Childhood Obesity Prevention and Treatment Research (COPTR) consortium. METHODS: The COPTR consortium has run four independent 3-year, multi-level (individual, family, school, clinic, and community) community-based randomized controlled trials. Two were prevention trials in preschool children and the other two were treatment trials in pre-adolescents and adolescent youth. All trials reported monthly participant recruitment numbers using a standardized method over the projected 18-24 months of recruitment. After randomization of participants was completed, recruitment staff and investigators from each trial retrospectively completed a survey of recruitment strategies and their perceived top three recruitment strategies and barriers. RESULTS: Recruitment was completed in 15-21 months across trials, enrolling a total of 1745 parent-child dyads- out of 6314 screened. The number of children screened per randomized child was 4.6 and 3.5 in the two prevention trials, and 3.1 and 2.5 in the two treatment trials. Recruitment strategies reported included: (1) careful planning, (2) working with trusting community partners, (3) hiring recruitment staff who were culturally sensitive, personality appropriate, and willing to work flexible hours, (4) contacting potential participants actively and repeatedly, (5) recruiting at times and locations convenient for participants, (6) providing incentives to participants to complete baseline measures, (7) using a tracking database, (8) evaluating whether participants understand the activities and expectations of the study, and (9) assessing participants' motivation for participating. Working with community partners, hiring culturally sensitive staff, and contacting potential participants repeatedly were cited by two trials among their top three strategies. The requirement of a 3-year commitment to the trial was cited by two trials to be among the top three recruitment barriers. CONCLUSIONS: Comprehensive strategies that include community partnership support, culturally sensitive recruitment staff, and repeated contacts with potential participants can result in successful recruitment of low-income racial/ethnic minority families into obesity prevention and treatment trials. TRIAL REGISTRATION: NET-Works trial: ClinicalTrials.gov, NCT01606891 . Registered on 28 May 2012. GROW trial: ClinicalTrials.gov, NCT01316653 . Registered on 16 March 2011. GOALS trial: ClinicalTrials.gov, NCT01642836 . Registered on 17 July 2012. IMPACT trial: ClinicalTrials.gov, NCT01514279 . Registered on 23 January 2012.