OBJECTIVE: Restrictive feeding is associated with childhood obesity; however, this could be due to other factors that drive children to overeat and parents to restrict (eg, child genetics). Using a twin design to better control for confounders, we tested differences in restrictive feeding within families in relation to differences in twins’ self-regulatory eating and weight status. METHODS: Sixty-four same-gender twin pairs (4–7 years old) were studied with their mothers. Child caloric compensation ability (COMPX% index) was assessed by using a laboratory-based protocol. The Child Feeding Questionnaire assessed mothers’ self-reported feeding styles toward each twin. Child BMI (kg/m2) and BMI z score were calculated by using measured weight and height; percent body fat and waist circumference were also assessed. Partial correlations examined within-twin pair differences in Child Feeding Questionnaire subscales in relation to within-twin pair differences in anthropometry and caloric compensation (COMPX%). RESULTS: Differences in maternal restriction were significantly associated with within-pair differences in child COMPX% and BMI z score. Mothers reported more restriction toward the heavier and more poorly compensating twin. Additionally, within-pair differences in parental pressure to eat were associated with significant differences in BMI z score, percent body fat, and waist circumference. Mothers were more pressuring toward the lighter twin. CONCLUSIONS: Mothers vary in their feeding practices, even among same-gender twin pairs, which might influence differences in adiposity. Future research needs to elucidate cause-and-effect and intervention implications regarding parental restriction and pressure-to-eat prompts.

Objective. To examine the association between different marital transitions and changes in body mass index (BMI) and body weight. Methods. A systematic literature search was conducted for peer-reviewed articles published between January 1990 and December 2011. Longitudinal studies were included if they compared dependent variables, such as BMI or weight, before and after a change in marital status. Results. Twenty articles were included: 4 articles described only transitions into marriage and/or cohabitation, 2 articles described only transitions out of marriage and/or cohabitation, and 14 articles described both. Overall, transitions into marriage were associated with weight gain, whereas transitions out of marriage were associated with weight loss. No major differences were observed between genders or across specific marital transition states. Conclusions. Additional research is warranted to better understand this phenomenon and the impact of marital transitions on obesity and obesity-related behaviors. This paper highlights potential opportunities to incorporate programs, practices, and policies that aim to promote and support healthy weights and lifestyles upon entering or leaving a marriage or cohabiting relationship.

Snacking is a significant contributor to energy intake among adolescents, but its association with weight status is unclear. To elucidate this association, data from 6545 adolescents (12–19 years) in the 2005–2016 National Health and Nutrition Examination Survey (NHANES) were analyzed. The mean number of daily snack occasions, mean snack size, and mean snack energy density were examined by weight classification (body mass index (BMI)-for-age percentiles: normal weight (NW) <85th; overweight (OW) ≥85th to <95th; obese (OB) ≥95th). Models included all snacking parameters, mean meal size, demographic characteristics, survey cycle year, and dietary reporting accuracy. Adolescents with NW consumed fewer snacks daily (1.69 (0.02) snacks/day) and smaller snacks per occasion (262.32 (4.41) calories (kcal)/snack) compared to adolescents with OW (1.85 (0.05) snacks/day, p = 0.005; 305.41 (8.84) kcal/snack, p < 0.001), and OB (1.97 (0.05) snacks/day; 339.60 (10.12) kcal/snack, both p < 0.001). Adolescents with OW and OB also consumed more added sugar, saturated fat and sodium from snacks, but had lower mean energy density per snack compared to snacks consumed by NW adolescents. US adolescents with OW and OB consume more snacks daily and more calories at each snacking occasion compared to adolescents with NW. Future studies should examine the prospective associations between snacking and weight status and impact on overall diet quality.

Technology adjuncts are feasible, used by hard-to-reach participants, and show promise for improving child weight status in obesity treatment programs.

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BackgroundPoorer diets and subsequent higher rates of chronic disease among lower-income individuals may be partially attributed to reduced access to fresh fruits and vegetables (F&V) and other healthy foods. Mobile markets are an increasingly popular method for providing access to F&V in underserved communities, but evaluation efforts are limited. The purpose of this study was to determine the impact of Veggie Van (VV), a mobile produce market, on F&V intake in lower-income communities using a group randomized controlled trial.MethodsVV is a mobile produce market that sells reduced-cost locally grown produce and offers nutrition and cooking education. We recruited 12 sites in lower-income communities in North Carolina (USA) to host VV, randomizing them to receive VV immediately (intervention) or after the 6-month study period (delayed intervention control). Participants at each site completed baseline and follow-up surveys including F&V intake, perceived access to fresh F&V and self-efficacy for purchasing, preparing and eating F&V. We used multiple linear regression to calculate adjusted differences in outcomes while controlling for baseline values, education and clustering within site.ResultsAmong 142 participants who completed the follow-up, baseline F&V intake was 3.48 cups/day for control and 3.33 for intervention. At follow-up, adjusted change in F&V consumption was 0.95 cups/day greater for intervention participants (p = 0.005), but was attenuated to 0.51 cups per day (p = 0.11) after removing extreme values. VV customers increased their F&V consumption by 0.41 cups/day (n = 30) compared to a 0.25 cups/day decrease for 111 non-customers (p = 0.04). Intervention participants did not show significant improvements in perceived access to fresh F&V, but increased their self-efficacy for working more F&V into snacks (p = 0.02), making up a vegetable dish with what they had on hand (p = 0.03), and cooking vegetables in a way that is appealing to their family (p = 0.048).ConclusionsMobile markets may help improve F&V intake in lower-income communities.Trial registrationClinicaltrials.gov ID# NCT03026608 retrospectively registered January 2, 2017.Electronic supplementary materialThe online version of this article (10.1186/s12966-017-0637-1) contains supplementary material, which is available to authorized users.

Snacks, while widely consumed in the United States (U.S.), do not have a standard definition, complicating research to understand associations, if any, with weight status. Therefore, the purpose of this study was to examine the association between snacking frequency and weight status using various snacking definitions that exist in the scientific literature among U.S. adults (NHANES 2013-2016; �20y n = 9,711). Four event-based snacking definitions were operationalized including participant-defined snacks, eating events outside of meals, and operationally defined snacks based on absolute thresholds of energy consumed (>50 kcal). Weight status was examined using body mass index (BMI), waist circumference, and sagittal abdominal diameter risk. Logistic regression models examined snacking frequency and associations with weight status. Outcomes varied by the definition of a snack employed, but the majority of findings were null. Mean energy from snacks was significantly higher among women with obesity compared to women with normal weight when a snack was defined as any event outside of a typical mealtime (i.e. other than breakfast, lunch, dinner, super, brunch), regardless of whether or not it contributed �50 kcal. Further investigation into ingestive behaviors that may influence the relationship between snacking frequency and weight status is needed.

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