Weight Indices, Cognition, and Mental Health From Childhood to Early Adolescence.

This cohort study evaluates the association between weight indices in childhood and changes in cognition and psychopathology.

Perception and Awareness of Diabetes Risk and Reported Risk-Reducing Behaviors in Adolescents.

Importance: Lifestyle change is central to diabetes risk reduction in youth with overweight or obesity. Feeling susceptible to a health threat can be motivational in adults. Objective: To evaluate associations between diabetes risk perception and/or awareness and health behaviors in youth. Design, Setting, and Participants: This cross-sectional study analyzed data from the US National Health and Nutrition Examination Survey 2011 to 2018. Participants included youths aged 12 to 17 years with body mass index (BMI) in the 85th percentile or higher without known diabetes. Analyses were conducted from February 2022 to February 2023. Main Outcomes and Measures: Outcomes included physical activity, screen time, and attempted weight loss. Confounders included age, sex, race and ethnicity, and objective diabetes risk (BMI, hemoglobin A1c [HbA1c]). Exposures: Independent variables included diabetes risk perception (feeling at risk) and awareness (told by clinician), as well as potential barriers (eg, food insecurity, household size, insurance). Results: The sample included 1341 individuals representing 8 716 794 US youths aged 12 to 17 years with BMI in the 85th percentile or higher for age and sex. The mean age was 15.0 years (95% CI, 14.9-15.2 years) and mean BMI z score was 1.76 (95% CI 1.73-1.79). Elevated HbA1c was present in 8.6% (HbA1c 5.7%-6.4%: 8.3% [95% CI, 6.5%-10.5%]; HbA1c ≥6.5%: 0.3% [95% CI, 0.1%-0.7%]). Nearly one-third of youth with elevated HbA1c reported risk perception (30.1% [95% CI, 23.1%-38.1%), while one-quarter (26.5% [95% CI, 20.0%-34.2%]) had risk awareness. Risk perception was associated with increased TV watching (ß = 0.3 hours per day [95% CI, 0.2-0.5 hours per day]) and approximately 1 less day per week with at least 60 minutes of physical activity (ß = -1.2 [95% CI, -2.0 to -0.4) but not with nutrition or weight loss attempts. Awareness was not associated with health behaviors. Potential barriers had mixed associations: larger households (≥5 members vs 1-2) reported lower consumption of non-home-prepared meals (OR 0.4 [95% CI, 0.2-0.7]) and lower screen time (ß = -1.1 hours per day [95% CI, -2.0 to -0.3 hours per day), while public insurance (vs private) was associated with approximately 20 fewer minutes per day of physical activity (ß = -20.7 minutes per day [95% CI, 35.5 to -5.8 minutes per day]). Conclusions and Relevance: In this cross-sectional study including a US-representative sample of adolescents with overweight or obesity, diabetes risk perception and awareness were not associated with greater engagement in risk-reducing behaviors in youth. These findings suggest the need to address barriers to engagement in lifestyle change, including economic disadvantage.

Childhood obesity is linked to putative neuroinflammation in brain white matter, hypothalamus, and striatum.

Neuroinflammation is both a consequence and driver of overfeeding and weight gain in rodent obesity models. Advances in magnetic resonance imaging (MRI) enable investigations of brain microstructure that suggests neuroinflammation in human obesity. To assess the convergent validity across MRI techniques and extend previous findings, we used diffusion basis spectrum imaging (DBSI) to characterize obesity-associated alterations in brain microstructure in 601 children (age 9-11 years) from the Adolescent Brain Cognitive DevelopmentSM Study. Compared with children with normal-weight, greater DBSI restricted fraction (RF), reflecting neuroinflammation-related cellularity, was seen in widespread white matter in children with overweight and obesity. Greater DBSI-RF in hypothalamus, caudate nucleus, putamen, and, in particular, nucleus accumbens, correlated with higher baseline body mass index and related anthropometrics. Comparable findings were seen in the striatum with a previously reported restriction spectrum imaging (RSI) model. Gain in waist circumference over 1 and 2 years related, at nominal significance, to greater baseline RSI-assessed restricted diffusion in nucleus accumbens and caudate nucleus, and DBSI-RF in hypothalamus, respectively. Here we demonstrate that childhood obesity is associated with microstructural alterations in white matter, hypothalamus, and striatum. Our results also support the reproducibility, across MRI methods, of findings of obesity-related putative neuroinflammation in children.

Longitudinal associations between weight indices, cognition, and mental health from childhood to early adolescence.

Childhood obesity has been associated with lower cognitive performance and worse mental health in cross-sectional studies. However, it is unclear whether these findings extend longitudinally and in what causal direction. Using data from the Adolescent Brain Cognitive Development (ABCD) Study (maximum analytical n = 6671, 48.3% girls, 42.8% non-White), we examined how body mass index (BMI) at baseline (ages 9-11) relate prospectively to changes in cognition or psychopathology across the 2 years thereafter, and vice versa. Cognitive tests included the National Institutes of Health Toolbox Cognition Battery, Little Man Task of mental rotation, and Rey Auditory Verbal Learning Test. Psychopathology was assessed using caregiver-reported Child Behavior Checklist. Linear mixed models adjusted for sociodemographic and developmental covariates indicated that lower baseline performance on most cognitive tests was associated with greater longitudinal BMI gain (eg, 1 point lower than median on Picture Vocabulary corresponded to 0.012 kg/m2 [1.6%; 95% CI, 0.008 to 0.016 kg/m2] more annual BMI gain, PFDR < .001), whereas baseline BMI was unrelated to longitudinal changes in cognition (PFDR ≥ .12; including after considering practice effects). Greater broad-spectrum psychopathology at baseline was associated with increased BMI gain (eg, each endorsement of externalizing problems than none corresponded to 0.015 kg/m2 [2.2%; 95% CI, 0.009 to 0.021 kg/m2] more annual BMI gain, PFDR < .001) and, reciprocally, greater baseline BMI was linked specifically to more longitudinal withdrawn/depressed and depression problems (0.010 [22%; 95% CI, 0.004 to 0.016] and 0.011 [15%; 95% CI, 0.004 to 0.017] more problems annually per 1 kg/m2 above median BMI, PFDR = .003 and .008). The associations did not differ in boys vs. girls (PFDR ≥ .40), and remained stable with waist circumference as the weight index and in subgroups of participants without weight-altering medications or common baseline psychiatric diagnoses. Our longitudinal findings expand previous cross-sectional works and highlight the importance of cognitive and mental health to children's weight development and links between weight and depression.

Longitudinal progression of diabetes mellitus in Wolfram syndrome: The Washington University Wolfram Research Clinic experience.

OBJECTIVE: (1) Describe the progression of diabetes mellitus over time in an observational study of Wolfram syndrome, a rare, genetic, neurodegenerative disorder, which often includes diabetes mellitus and is typically diagnosed during childhood or adolescence. (2) Determine whether C-peptide could be used as a marker of diabetes progression in interventional trials for Wolfram syndrome. METHODS: N = 44 (25F/19M) participants with genetically confirmed Wolfram syndrome attended the Washington University Wolfram Research Clinic annually from 2010 to 2019. Medical history, physical examinations, blood sampling, and questionnaires were used to collect data about diabetes mellitus and other components of Wolfram syndrome. Beta-cell function was assessed by determination of C-peptide during a mixed meal tolerance test. Random coefficients models evaluated the rate of progression of C-peptide over time, and power analyses were used to estimate the number of subjects needed to detect a change in C-peptide decline during an intervention trial. RESULTS: 93.2% of patients had diabetes mellitus. Mean HbA1c across all study visits was 7.9%. C-peptide significantly decreased with increasing duration of diabetes mellitus (p < 0.0001); an optimal break point in C-peptide decline was identified to occur between 0.1 and 2.3 years after diabetes mellitus diagnosis. Twenty patients per group (active vs. control) were estimated to be needed to detect a 60% slowing of C-peptide decline during the first 2.3 years following diabetes diagnosis. CONCLUSION: C-peptide declines over time in Wolfram syndrome and could potentially be used as a marker of diabetes progression in interventional studies for Wolfram syndrome, especially within the first 2 years after diabetes diagnosis.

Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies.

Type 1 diabetes (T1D) is one of the most common chronic childhood diseases, and its prevalence is rapidly increasing. The management of glucose in T1D is challenging, as youth must consider a myriad of factors when making diabetes care decisions. This task often leads to significant hyperglycemia, hypoglycemia, and glucose variability throughout the day, which have been associated with short- and long-term medical complications. At present, most of what is known about each of these complications and the health behaviors that may lead to them have been uncovered in the clinical setting or in laboratory-based research. However, the tools often used in these settings are limited in their ability to capture the dynamic behaviors, feelings, and physiological changes associated with T1D that fluctuate from moment to moment throughout the day. A better understanding of T1D in daily life could potentially aid in the development of interventions to improve diabetes care and mitigate the negative medical consequences associated with it. Therefore, there is a need to measure repeated, real-time, and real-world features of this disease in youth. This approach is known as ecological momentary assessment (EMA), and it has considerable advantages to in-lab research. Thus, this viewpoint aims to describe EMA tools that have been used to collect data in the daily lives of youth with T1D and discuss studies that explored the nuances of T1D in daily life using these methods. This viewpoint focuses on the following EMA methods: continuous glucose monitoring, actigraphy, ambulatory blood pressure monitoring, personal digital assistants, smartphones, and phone-based systems. The viewpoint also discusses the benefits of using EMA methods to collect important data that might not otherwise be collected in the laboratory and the limitations of each tool, future directions of the field, and possible clinical implications for their use.

Examining the interdependence of parent-child dyads: Effects on weight loss and maintenance.

BACKGROUND: This study aimed to further elucidate correlated weight changes in parent-child dyads enrolled in family-based treatment (FBT) by modeling the interdependence of weight changes during treatment. METHODS: Parent-child dyads (n = 172) with overweight/obesity (child mean zBMI = 2.16 ± 0.39; parent mean BMI = 37.9 ± 9.4 kg/m2 ) completed 4 months of FBT and were randomized to one of three 8-month maintenance interventions (Social Facilitation Maintenance [SFM]-high dose, SFM-low dose or control). Weight/height was measured at 0, 4 and 12 months. Structural equation models simultaneously estimated the effect that an individual had on their own (actor effect) and on one another's (partner effect) weight-status across time using the actor-partner interdependence model. RESULTS: Actor paths were significant over time for parent and child. Partner paths were significant for child zBMI predicting parent BMI at 4 and 12 months. Maintenance condition moderated actor/partner paths in the model. CONCLUSIONS: Child weight change may motivate parents to make environmental and behavioural changes that impact their own weight. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT00759746.

Relationship between trait suggestibility and eating-related behaviors in overweight and obesity.

Differences in trait suggestibility among those with obesity may help explain differential responses to weight-loss interventions. Ubiquitous advertising of unhealthy foods, weight-loss products that are not evidence-based, and myths regarding weight loss could be particularly sabotaging in individuals with high levels of suggestibility, with or at risk of developing obesity. This study explored relationships between suggestibility, body mass index (BMI), and self-reported eating-related behaviors that vary among those with obesity. A sample of ethnically diverse adults (N = 73) with a BMI ≥25 completed the Short Suggestibility Scale (SSS), Palatable Eating Motives Scale (PEMS), Binge Eating Scale (BES), Dutch Eating Behavior Questionnaire-Restraint (DEBQ-R), and Barratt Impulsiveness Scale (BIS). Impulsiveness was controlled in analyses due to its strong association with suggestibility. Analyses revealed that BMI was not related to SSS scores, consistent with studies using hypnotic-suggestibility scales. However, SSS scores were positively associated with eating caloric food more frequently for Reward, Social, and Conformity motives, and with greater actual dieting behavior, and binge eating. Suggestibility was not related to eating for Coping motives or effort to diet. If supported by future replications, knowledge of these associations could potentially help inform and tailor weight-loss interventions to protect those that may be most susceptible to adopting invalid messages and products.

Family Encouragement of Healthy Eating Predicts Child Dietary Intake and Weight Loss in Family-Based Behavioral Weight-Loss Treatment.

Introduction: Social support for healthy eating can influence child eating behaviors; however, little is known about the impact of social support during family-based behavioral weight-loss treatment (FBT). This study aimed to determine the impacts of both baseline and change in family support on change in child diet and weight during FBT. Methods: Children (n = 175; BMI percentile ≥85th; ages 7-11; 61.1% female; 70.9% white) and a participating parent completed 4 months of FBT. Parents were active participants and learned social support-related strategies (i.e., praise and modeling of healthy eating). Child perceived family encouragement and discouragement for healthy eating, child diet quality (via 24-hour recalls), and child weight were assessed pre- and post-FBT. Results: Family encouragement for healthy eating increased during FBT, and this increase was related to increases in child healthy vegetable intake and overall diet quality, as well as decreases in refined grains consumed. Low pre-FBT family encouragement predicted greater increases in healthy vegetable intake, greater weight reduction, and greater increases in family encouragement for healthy eating. Family discouragement for healthy eating did not change during treatment nor did it predict dietary or weight outcomes. Conclusions: FBT successfully improves family encouragement, which is associated with improvements in child diet. Furthermore, even children who began treatment with low family encouragement for healthy eating show great improvements in dietary intake and weight during treatment. Results suggest that changes in child eating behavior during treatment is influenced by active, positive parenting techniques such as praise of healthy eating rather than negative family support.

The effect of expectation on transcranial direct current stimulation (tDCS) to suppress food craving and eating in individuals with overweight and obesity.

Transcranial direct current stimulation (tDCS) is a neuromodulation technique with potential to treat eating disorders and obesity. As for any potential treatment, it is important to assess the degree to which expectation effects contribute to its reported efficacy. This study assessed the effect of tDCS on amount of food craving and eating while tightly controlling treatment expectation. N = 74 adults with overweight or obesity were informed of the known effects of tDCS to suppress craving and eating. Once electrodes were on the head, half of the participants were told they were receiving real, and the other half sham tDCS. Within these groups, approximately half actually received real and the other half sham tDCS. Stimulation parameters used were those previously found to reduce craving and eating, including in our lab: 2 mA, anode right/cathode left targeting the dorsolateral prefrontal cortex for 20 min (real), or only for the first and last minute (sham). Analyses controlled for demographics, hunger, trait impulsiveness, eating motives, dieting, binge eating, suggestibility, and baseline craving and eating. Participants told they were receiving real tDCS craved and ate less than participants told they were receiving sham tDCS (both p < 0.01), regardless of tDCS condition administered. There was no main effect of real vs. sham tDCS on craving or eating or an interaction between tDCS condition and expectation. The scientific validation of tDCS as a treatment for eating-related conditions hinges on controlling for the powerful effects of expectation. This can include the type of information provided on consent forms and participants' ability to guess real from sham conditions.

Baseline motives for eating palatable food: racial differences and preliminary utility in predicting weight loss.

PURPOSE: Behavioral predictors of weight-loss program (WLP) outcomes are needed and important because they can be modified. Eating calorie-dense palatable foods (PFs) outside of hunger contributes to obesity. This study assessed if habitual motives to consume PFs could predict weight-loss outcomes. METHODS: N = 171 Black and N = 141 White adults in a reduced-calorie program completed the Palatable Eating Motives Scale (PEMS). Body weight and body mass index (BMI) lost after 3 and 6 months were analyzed controlling for initial BMI and demographics. Greater PEMS motive scores meant more frequent habitual intake of PFs for that motive. RESULTS: Whites vs. Blacks had higher scores on most of the PEMS motives: Social, Coping, and Reward Enhancement. In Whites at 3 months, greater Reward Enhancement scores and initial BMI predicted more BMI loss (p < 0.05). At 6 months, greater Reward Enhancement and lower Conformity scores predicted more weight (p < 0.05) and BMI loss (Conformity: p < 0.05; Reward Enhancement: p = 0.05). PEMS motives did not predict outcomes for Blacks. CONCLUSION: The results provide preliminary evidence for the PEMS to predict WLP outcomes. White patients who eat PFs primarily for their rewarding properties and less to conform should fare better in Lifestyle programs while group or family-based interventions may be more efficacious when conformity is the main motive. Lower motive scores among Blacks suggest that eating PFs outside of hunger may go unrecognized or underreported and warrants further investigation. The findings highlight the motive-based heterogeneity of obesity and how it may be used to predict outcomes and customize interventions to improve WLP outcomes. LEVEL OF EVIDENCE: Level IV, multiple time series.

Effects of tDCS-like electrical stimulation on retinal ganglion cells.

PURPOSE: Transcranial direct current stimulation (tDCS) has been studied in humans for its effects on enhancement of learning, amelioration of psychiatric disorders, and modification of other behaviors for over 50 years. Typical treatments involve injecting 2 mA current through scalp electrodes for 20 minutes, sometimes repeated weekly for two to five sessions. Little is known about the direct effects of tDCS at the neural circuit or the cellular level. This study assessed the effects of tDCS-like currents on the central nervous system by recording effects on retinal ganglion cell responsiveness using the rabbit retina eyecup preparation. MATERIALS AND METHODS: We examined changes in firing to On and Off light stimuli during and after brief applications of a range of currents and polarity and in different classes of ganglion cells. RESULTS: The responses of Sustained cells were consistently suppressed during the first round of current application, but responses could be enhanced after subsequent rounds of stimulation. The observed first round suppression was independent of current polarity, amplitude, or number of trials. However, the light responses of Transient cells were more likely to be enhanced by negative currents and unaffected or suppressed by first round positive currents. Short-duration currents, that is, minutes, as low as 2.5 µA produced a remarkable persistency of firing changes, for up to 1.5 hours, after cessation of current. CONCLUSION: The results are consistent with postulated tDCS alteration of central nervous system function, which outlast the tDCS session and provide evidence for the isolated retina as a useful model to understand tDCS actions at the neuronal level.

The critical role of cognitive-based trait differences in transcranial direct current stimulation (tDCS) suppression of food craving and eating in frank obesity.

Obesity remains a major public health concern and novel treatments are needed. Transcranial direct current stimulation (tDCS) is a neuromodulation technique shown to reduce food craving and consumption, especially when targeting the dorsolateral prefrontal cortex (DLPFC) with a right anode/left cathode electrode montage. Despite the implications to treat frank (non-bingeeating) obesity, no study has tested the right anode/left cathode montage in this population. Additionally, most tDCS appetite studies have not controlled for differences in traits under DLPFC control that may influence how well one responds to tDCS. Hence, N = 18 (10F/8M) adults with frank obesity completed the Dutch Eating Behavior Questionnaire-Restraint and Barratt Impulsiveness Scale, and received 20 min of 2 mA active tDCS and control tDCS session. Craving and eating was assessed at both sessions with a food photo "wanting" test and in-lab measures of total, preferred, and less-preferred kilocalories consumed of three highly palatable snack foods. While main effects of tDCS vs. control were not found, significant differences emerged when trait scores were controlled. tDCS reduced food craving in females with lower attention-type impulsiveness (p = 0.047), reduced preferred-food consumption in males with lower intent to restrict calories (p = 0.024), and reduced total food consumption in males with higher non-planning-type impulsiveness (p = 0.009) compared to control tDCS. This is the first study to find significant reductions in food craving and consumption in a sample with frank obesity using the most popular tDCS montage in appetite studies. The results also highlight the cognitive-based heterogeneity of individuals with obesity and the importance of considering these differences when evaluating the efficacy of DLPFC-targeted tDCS in future studies aimed at treating obesity.