Youth's energy intake during a laboratory-based loss-of-control eating paradigm: Associations with reported current dieting.

Dieting is theorized as a risk factor for loss-of-control (LOC)-eating (i.e., feeling a sense of lack of control while eating). Support for this association has largely relied on retrospective self-report data, which does not always correlate with objectively assessed eating behavior in youth. We hypothesized that during a laboratory-based LOC-eating paradigm, children and adolescents who reported current (at the time of the visit) dieting would consume meals consistent with LOC-eating (greater caloric intake, and intake of carbohydrates and fats, but less intake of protein). Participants were presented with a buffet-style meal and instructed to "Let yourself go and eat as much as you want." Current dieting (i.e., any deliberate change to the amount or type of food eaten to influence shape or weight, regardless of how effective the changes are) was assessed via interview. General linear models were adjusted for fat mass (%), lean mass (kg), height, sex, protocol, race and ethnicity, pre-meal hunger and minutes since consumption of a breakfast shake. Of 337 participants (Mage 12.8 ± 2.7y; 62.3 % female; 45.7 % non- Hispanic White and 26.1 % non-Hispanic Black; MBMIz 0.78 ± 1.11), only 33 (9.8 %) reported current dieting. Current dieting was not significantly associated with total energy intake (F = 1.63, p = .20, ηp2 = 0.005), or intake from carbohydrates (F = 2.45, p = .12, ηp2 = 0.007), fat (F = 2.65, p = .10, ηp2 = 0.008), or protein (F = 0.39, p = .53, ηp2 = 0.001). Contrary to theories that dieting promotes LOC-eating, current dieting was not associated with youth's eating behavior in a laboratory setting. Experimental approaches for investigating dieting are needed to test theories that implicate dieting in pediatric LOC-eating.

Changes in Food Consumption, BMI, and Body Composition in Youth in the US during the COVID-19 Pandemic.

Rates of childhood overweight/obesity have risen for decades; however, data show the prevalence increased at a faster rate during the COVID-19 pandemic. Pandemic-associated increases in youth's body mass index (BMI; kg/m2) have been attributed to decreases in reported physical activity; few studies have examined changes in food intake. We therefore examined changes in total energy, nutrient consumption, BMI, BMIz, and adiposity longitudinally over 3 years, comparing healthy youth aged 8-17 years assessed twice prior to the pandemic, to youth seen once before and once during the pandemic. The total energy intake and percent macronutrient consumption were assessed using a standardized, laboratory-based, buffet-style meal. Height and weight were measured and adiposity was collected via dual energy X-ray absorptiometry. Generalized linear model univariate analyses investigated differences between groups. One-hundred-fifteen youth (15.6 + 2.8 years 47.8% female; 54.8% White) from the Washington D.C., Maryland, and Virginia greater metropolitan area participated. In this secondary analysis, neither changes in total energy intake (p = 0.52) nor changes in nutrient consumption were significantly different between the two groups (ps = 0.23-0.83). Likewise, changes in BMI, BMIz, and adiposity (ps = 0.95-0.25) did not differ by group. Further research should investigate food intake and body composition, comparing youth with and without overweight/obesity to better identify those at greatest risk of excess weight gain during the pandemic.

Associated features of pediatric loss-of-control eating severity during a laboratory-based feeding paradigm.

Laboratory-based loss-of-control eating (LOC-eating; i.e., feeling like one cannot stop eating) paradigms have provided inconsistent evidence that the features of pediatric LOC-eating are consistent with those of DSM-5-TR binge-eating episodes. Thus, this study investigated whether recent LOC-eating (in the prior month) and/or greater LOC-eating severity during a meal are positively associated with faster eating rate, energy intake when adjusting for hunger, post-meal stomachache and sickness (a proxy for eating until uncomfortably full), depression, and guilt. Recent LOC-eating was assessed via interview. Participants were presented with a buffet-type meal and instructed to "Let yourself go and eat as much as you want." Immediately following, youth reported on their experience of LOC-eating during the meal (LOC-eating severity). Eating rate (kcal/min) was computed by dividing total energy intake by the duration of the meal. Prior to and following the meal, youth reported hunger, sickness, and stomachache via sliding Visual Analog Scales, depression via the Brunel Mood Scale and guilt via the PANAS-X. Three-hundred-ten youth participated (61.2 % Female; 46.3 % non-Hispanic White, 12.96 ± 2.72 y). Recent LOC-eating was not significantly associated with any DSM-5-TR binge-eating feature during the laboratory meal (ps = 0.07-0.85). However, LOC-eating severity during the meal was positively associated with eating rate, eating adjusted for hunger, post-meal sickness and stomachache, and guilt (ps < 0.045). LOC-eating severity during a laboratory-based feeding paradigm meal, but not recent LOC-eating, was associated with several features of DSM-5-TR binge-eating episodes. Future studies should assess multiple components of LOC-eating to further characterize the phenomenology of pediatric LOC-eating.

Relationships examined: Parent and child readiness to change and sociodemographic characteristics in family based weight loss treatment.

BACKGROUND: Family based treatment is an effective, multipronged approach to address obesity as it plagues families. OBJECTIVE: To investigate the relationships among sociodemographic characteristics (e.g., education and income), body mass index (BMI) and race/ethnicity with readiness to change for parents enrolled in the Primary care pediatrics, Learning, Activity and Nutrition (PLAN) study. METHODS: Multivariate linear regressions tested two hypotheses: (1) White parents will have higher levels of baseline readiness to change, when compared to Black parents; (2) parents with higher income and education will have higher levels of readiness to change at baseline. RESULTS: A positive relationship exists between baseline parent BMI and readiness to change (Pearson correlation, 0.09, p < 0.05); statistically significant relationships exist between parent education level (-0.14, p < 0.05), income (0.04, p < 0.05) and readiness to change. Additionally, a statistically significant relationship exists, with both White (ß, -0.10, p < 0.05), and Other, non-Hispanic (-0.10, p < 0.05) parents exhibiting lower readiness to change than Black, non-Hispanic parents. Child data did not indicate significant relationships between race/ethnicity and readiness to change. CONCLUSIONS: Results demonstrate that investigators should consider sociodemographic characteristic factors and different levels of readiness to change in participants enrolling in obesity interventions.

Associations of food reinforcement and food- related inhibitory control with adiposity and weight gain in children and adolescents.

Some, but not all studies have reported that, among youth with disordered eating and high weight, the relative reinforcing value of food (RRV-F, i.e., how hard a person will work for a high-energy-dense food when another reward is available) is greater, and food-related inhibitory control (i.e., ability to withhold a response to food-related stimuli) is lower, compared to peers without disordered eating or overweight. In most studies, high RRV-F and low food-related inhibitory control have been studied separately, as independent factors, with each suggested to predict excess weight and adiposity (fat mass) gain. We hypothesized that the interaction of these factors would prospectively exacerbate risk for weight and adiposity (fat mass) gain three years later in a sample of healthy youth. At baseline, RRV-F was measured using a Behavior Choice Task with the rewards being standardized servings of chocolate candies, cheese crackers, or fruit snacks. Food-related inhibitory control was determined by performance in response to food and non-food stimuli during a Food Go/No-Go task. At baseline and 3-year visits, total body adiposity was measured by dual-energy X-ray absorptiometry (DXA) and body mass index (BMI) was obtained using measured weight and height. A linear regression was conducted with 3-year adiposity as the dependent variable. RRV-F, food-related inhibitory control, and the RRV-F x food-related inhibitory control interaction as independent variables. Baseline adiposity, age, height, sex, race/ethnicity, and days between visits were included as covariates for model predicting 3-year adiposity. Baseline BMI, age, sex, race/ethnicity, and days between visits were included as covariates for model predicting 3-year BMI. One-hundred and nine youth (mean 12.4±2.7y, mean 0.50±1.02 BMIz, 30.3% with overweight/obesity, 45.9% female, 51.4% non-Hispanic White), 8-17 years at baseline, were studied. Baseline food-related inhibitory control (ßunstandardized = 0.33, p = .037, 95% CI [.02, 0.64]), but not baseline RRV-F (ßunstandardized = -0.003, p = .914), 95% CI [-0.05, 0.05]) was significantly associated with 3-year adiposity such that those with the poorest food-related inhibitory control (great number of commision errors) had the greatest adiposity gain. The interaction between RRV-F and food-related inhibitory control did not predict 3-year adiposity (ßunstandardized = -0.07, p = .648, 95% CI [-0.39, 0.25]). The pattern of findings was the same for models examining non-food related inhibitory control. Neither baseline food-related inhibitory control (ßunstandardized = 2.16, p = .256, 95% CI [-1.59, 5.92]), baseline RRV-F (ßunstandardized = 0.14, p = .660, 95% CI [-0.48, 0.75]), nor their interaction (ßunstandardized = -1.18, p = .547, 95% CI [-5.04, 2.69]) were significantly associated with 3-year BMI. However, non-food related inhibitory control (ßunstandardized = 0.54, p = .038, 95% CI [.22, 7.15]) was significantly associated with 3-year BMI. In summary, food-related inhibitory control but not RRV-F, was associated with changes in adiposity in a sample of children and adolescents. Among generally healthy youth, food-related inhibitory control may be a more relevant risk factor than food reinforcement for adiposity gain. Additional data are needed to determine how inhibitory control and reward systems, as well as other disinhibited eating behaviors/traits, may interact to promote excess weight gain over time in youth.

Negative affect and loss-of-control eating in relation to adiposity among non-Hispanic youth identifying as black or white.

Negative affect and loss-of-control (LOC)-eating are consistently linked and prevalent among youth identifying as non-Hispanic Black (NHB) and non-Hispanic White (NHW), particularly those with high weight. Given health disparities in high weight and associated cardiometabolic health concerns among NHB youth, elucidating how the association of negative affect with adiposity may vary by racial/ethnic group, and whether that relationship is impacted by LOC-eating, is warranted. Social inequities and related stressors are associated with negative affect among NHB youth, which may place this group at increased risk for excess weight gain. Across multiple aggregated protocols, 651 youth (13.0 ± 2.7 y; 65.9 % girls, 40.7 % NHB; 1.0 ± 1.1 BMIz; 37.6 % LOC-eating) self-reported trait anxiety and depressive symptoms as facets of negative affect. LOC-eating was assessed by interview and adiposity was measured objectively. Cross-sectional moderated mediation models predicted adiposity from ethno-racial identification (NHB, NHW) through the pathway of anxiety or depressive symptoms and examined whether LOC-eating influenced the strength of the pathway, adjusting for SES, age, height, and sex. The association between ethno-racial identity and adiposity was partially mediated by both anxiety (95 % CI = [0.01, 0.05]) and depressive symptoms (95 % CI = [0.02, 0.08]), but the mediation was not moderated by LOC-eating for either anxiety (95 % CI = [-0.04, 0.003]) or depressive symptoms (95 % CI = [-0.07, 0.03]). Mechanisms underlying the link between negative affect and adiposity among NHB youth, such as stress from discrimination and stress-related inflammation, should be explored. These data highlight the need to study impacts of social inequities on psychosocial and health outcomes.

Heart Rate Variability and Laboratory-Based Loss-of-Control Eating in Children and Adolescents.

Among youth, greater heart rate (HR) and lesser HR variability (HRV) are precursors to loss-of-control (LOC) eating episodes in the natural environment. However, there are limited data examining whether pre-meal HR and HRV are associated with greater LOC-eating in the laboratory setting. We therefore examined temporal relationships between pre-meal HR, frequency- and time-based metrics of pre-meal HRV, perceived LOC-eating, and energy intake during a meal designed to simulate a LOC-eating episode. Among 209 participants (54.5% female, 12.58 ± 2.72 years, 0.52 ± 1.02 BMIz), 19 reported LOC-eating in the prior month. Perceived LOC-eating during the laboratory meal was not significantly linked to pre-meal HR (p = 0.37), but was positively related to pre-meal HRV (ps = 0.02-0.04). This finding was driven by youth with recent LOC-eating, as these associations were not significant when analyses were run only among participants without recent reported LOC-eating (p = 0.15-0.99). Pre-meal HR and HRV were not significantly related to total energy intake (ps = 0.27-0.81). Additional research is required to determine whether early-stage pediatric LOC-eating is preceded by a healthy pre-meal stress response. Longitudinal studies could help clarify whether this pattern becomes less functional over time among youth who develop recurrent LOC-eating episodes.

Loss-of-Control Eating and Cardiometabolic Health in Relation to Overweight and Obesity.

PURPOSE OF REVIEW: Loss-of-control (LOC) eating, the subjective feeling of being unable to control what or how much is being consumed, is common. The purpose of this review was to examine the relationships among LOC eating, cardiometabolic health, and weight management intervention outcomes. RECENT FINDINGS: In youth and adults, LOC eating is associated with and predictive of psychological symptoms, high weight, and worsened cardiometabolic health. While LOC eating pre-intervention does not appear to impact outcomes, LOC eating during or following is associated with worsened outcomes from behavioral and surgical weight management interventions. When individuals are undergoing weight management interventions, it may be important to regularly assess for LOC eating. There is limited research on the examined relationships in diverse populations (e.g., males, individuals of a lower socio-economic status, racial/ethnic minority groups). Future research should examine these relationships across the lifespan in diverse populations, with a focus on how these relationships can be impacted through targeted interventions.

The impact of informant gender on children's endorsement of scientific and non-scientific information.

By roughly 6 years of age, children acquire the stereotype that men are more competent than women in science, technology, engineering, and mathematics (STEM), potentially leading to greater trust in scientific information provided by men. This study tested whether 3- to 8-year-old children differentially endorsed conflicting information about science and toys presented by male and female informants depicted as a 'man' and 'woman' (Exp1) or 'scientists' (Exp2). Children were expected to endorse toy testimony from gender-matched informants; thus, the key question concerned endorsement of science testimony. In Exp1 (N = 149), boys and girls showed a same-gender informant preference for toy testimony; however, girls endorsed the male informant's testimony more for science than for toys - but only when tested by a male experimenter. In Exp2 (N = 264), boys and girls showed a same-gender preference, irrespective of content. Findings suggest that STEM-related gender stereotypes might lead girls to trust scientific information presented by men over women in certain contexts.

Implementing family-based behavioral treatment in the pediatric primary care setting: Design of the PLAN study.

Family-based behavioral treatment (FBT) is an evidence-based treatment for pediatric obesity. FBT has primarily been implemented in specialty clinics, with highly trained interventionists. The goal of this study is to assess effectiveness of FBT implemented in pediatric primary care settings using newly trained interventionists who might implement FBT in pediatric practices. The goal is to randomize 528 families with a child with overweight/obesity (≥85th BMI percentile) and parent with overweight/obesity (BMI ≥ 25) across four sites (Buffalo and Rochester, New York; Columbus, Ohio; St. Louis, Missouri) to FBT or usual care and obtain assessments at 6-month intervals over 24 months of treatment. FBT is implemented using a mastery model, which provides quantity of treatment tailored to family progress and following the United States Preventive Services Task Force recommendations for effective dose and duration of treatment. The primary outcome of the trial is change in relative weight for children, and secondarily, for parents and siblings who are overweight/obese. Between group differences in the tendency to prefer small immediate rewards over larger, delayed rewards (delay discounting) and how this is related to treatment outcome is also evaluated. Challenges in translation of group-based interventions to individualized treatments in primary care settings, and in study implementation that arose due to the COVID-19 pandemic are discussed. It is hypothesized that the FBT intervention will be associated with better changes in relative weight for children, parents, and siblings than usual care. The results of this study can inform future dissemination and implementation of FBT into primary care settings.