Momentary skills use predicts decreased binge eating and purging early in day treatment: An ecological momentary assessment study.

OBJECTIVE: Emerging research indicates that skills acquisition may be important to behavior change in cognitive behavior therapy (CBT) for eating disorders. This study investigated whether skills use assessed in real time during the initial 4 weeks of CBT-based day treatment was associated with momentary eating disorder behavior change and rapid response to treatment. METHODS: Participants with DSM-5 bulimia nervosa or purging disorder (N = 58) completed ecological momentary assessments (EMA) several times daily for the first 28 days of treatment. EMA assessed skills use, the occurrence of binge eating and/or purging, and state negative affect. Rapid response was defined as abstinence from binge eating and/or purging in the first 4 weeks of treatment. RESULTS: Greater real-time skills use overall, and use of "planning ahead," "distraction," "social support," and "mechanical eating" skills in particular, were associated with a lower likelihood of engaging in binge eating or purging during the same period. After controlling for baseline group differences in overall difficulties with emotion regulation, rapid and non-rapid responders did not differ in overall skills use, or skills use at times of higher negative affect, during the EMA period. DISCUSSION: Momentary use of skills appears to play an important role in preventing binge eating and purging, and certain skills appear to be particularly helpful. These findings contribute to the literature elucidating the processes by which CBT treatments for eating disorders work by providing empirical evidence that skills use helps to prevent binge eating and purging behaviors. PUBLIC SIGNIFICANCE: Individuals with eating disorders learn new skills during treatment to help them improve their symptoms. This study shows that for people with eating disorders, using skills helps prevent eating disorder behaviors in the moment. Certain skills may be particularly helpful, including planning ahead, distracting activities, support from others, and focusing on eating meals and snacks regardless of how one is feeling. These findings help us better understand how treatments work.

Provider Perspectives of Facilitators and Barriers to Reaching and Utilizing Chronic Pain Healthcare for Persons With Traumatic Brain Injury: A Qualitative NIDILRR and VA TBI Model Systems Collaborative Project.

OBJECTIVE: To identify facilitators and barriers to reaching and utilizing chronic pain treatments for persons with traumatic brain injury (TBI) organized around an Access to Care framework, which includes dimensions of access to healthcare as a function of supply (ie, provider/system) and demand (ie, patient) factors for a specified patient population. SETTING: Community. PARTICIPANTS: Clinicians (n = 63) with experience treating persons with TBI were interviewed between October 2020 and November 2021. DESIGN: Descriptive, qualitative study. MAIN MEASURES: Semistructured open-ended interview of chronic pain management for persons with TBI. Informed by the Access to Care framework, responses were coded by and categorized within the core domains (reaching care, utilizing care) and relevant subdimensions from the supply (affordability of providing care, quality, coordination/continuity, adequacy) and demand (ability to pay, adherence, empowerment, caregiver support) perspective. RESULTS: Themes from provider interviews focused on healthcare reaching and healthcare utilization resulted in 19 facilitators and 9 barriers reaching saturation. The most themes fell under the utilization core domain, with themes identified that impact the technical and interpersonal quality of care and care coordination/continuity. Accessibility and availability of specialty care and use of interdisciplinary team that permitted matching patients to treatments were leading thematic facilitators. The leading thematic barrier identified primarily by medical providers was cognitive disability, which is likely directly linked with other leading barriers including high rates of noncompliance and poor follow-up in health care. Medical and behavioral health complexity was also a leading barrier to care and potentially interrelated to other themes identified. CONCLUSION: This is the first evidence-based study to inform policy and planning for this complex population to improve access to high-quality chronic pain treatment. Further research is needed to gain a better understanding of the perspectives of individuals with TBI/caregivers to inform interventions to improve access to chronic pain treatment for persons with TBI.

The Impact of Medicaid Expansion Under the Affordable Care Act on the Gap Between American Indians and Whites in Breast Cancer Management and Prognosis.

BACKGROUND: Breast cancer (BC) death rates in the USA have not significantly declined for American Indians (AIs) in comparison to Whites. Our objective was to determine whether Medicaid Expansion as part of the Affordable Care Act led to improved BC outcomes for AIs relative to Whites. PATIENTS AND METHODS: Using the National Cancer Database, we conducted a retrospective cohort study. Included were BC patients who were AI and White; 40 to 64 years of age; diagnosed in 2009 to 2016; lived in states that expanded Medicaid in January 2014, and states that did not expand Medicaid. Our outcomes were stage at diagnosis, insurance status, timely treatment, and 3-year mortality. RESULTS: There were 359,484 newly diagnosed BC patients, 99.49% White, 0.51% AI. Uninsured rates declined more in the expansion states than in the nonexpansion states (OR = 0.44, 95% CI: 0.15-0.97, P < 0.001). Lower rates of Stage I BC diagnosis was found in AIs compared to Whites (46.58% vs. 55.33%, P < .001); these differential rates did not change after Medicaid expansion. Rates of definitive treatment initiation within 30 days of diagnosis declined after Medicaid expansion (P < .001); there was a smaller decline in the expansion states (OR 1.118, 95% CI: 1.09, 1.15, P < .001). Three year mortality was not different between expansion and nonexpansion states post Medicaid expansion. CONCLUSIONS: In newly diagnosed BCs, uninsured rates declined more in the states that expanded Medicaid in January 2014. Timely treatment post Medicaid expansion declined less in states that expanded Medicaid. There was no differential benefit of Medicaid expansion in the 2 races.

Workplace Belonging of Women Healthcare Professionals Relates to Likelihood of Leaving.

Purpose: There is a high rate of attrition of professionals from healthcare institutions, which threatens the economic viability of these institutions and the quality of care they provide to patients. Women professionals face particular challenges that may lower their sense of belonging in the healthcare workplace. We sought to test the hypothesis that workplace belonging of women healthcare professionals relates to the likelihood that they expect to leave their institution. Methods: Participants of a continuing education course on women's leadership skills in health care completed a survey about their experiences of belonging in workplace and their likelihood of leaving that institution within the next 2 years. An association between workplace belonging (measured by the cumulative number of belonging factors experienced, scale 0-10) and likelihood of leaving (measured on a 5-point Likert scale) was evaluated using ordinal logistic regression. The relative importance of workplace belonging factors in predicting the likelihood of leaving was assessed using dominance analysis. Results: Ninety-nine percent of survey participants were women, and 63% were clinicians. Sixty-one percent of participants reported at least a slight likelihood of leaving their healthcare institution within the next 2 years. Greater workplace belonging was found to be associated with a significant reduction in the reported likelihood of leaving their institution after accounting for the number of years having worked in their current institution, underrepresented minority status, and the interaction between the latter two covariates. The workplace belonging factor found to be most important in predicting the likelihood of leaving was the belief that there was an opportunity to thrive professionally in the institution. Belonging factors involving feeling able to freely share thoughts and opinions were also found to be of relatively high importance in predicting the likelihood of leaving. Conclusion: Greater workplace belonging was found to relate significantly to a reduced likelihood of leaving their institution within the next 2 years. Our findings suggest that leaders of healthcare organizations might reduce attrition of women by fostering workplace belonging with particular attention to empowering professional thriving and creating a culture that values open communication.

Potential of low-density genotype imputation for cost-efficient genomic selection for resistance to Flavobacterium columnare in rainbow trout (Oncorhynchus mykiss).

BACKGROUND: Flavobacterium columnare is the pathogen agent of columnaris disease, a major emerging disease that affects rainbow trout aquaculture. Selective breeding using genomic selection has potential to achieve cumulative improvement of the host resistance. However, genomic selection is expensive partly because of the cost of genotyping large numbers of animals using high-density single nucleotide polymorphism (SNP) arrays. The objective of this study was to assess the efficiency of genomic selection for resistance to F. columnare using in silico low-density (LD) panels combined with imputation. After a natural outbreak of columnaris disease, 2874 challenged fish and 469 fish from the parental generation (n = 81 parents) were genotyped with 27,907 SNPs. The efficiency of genomic prediction using LD panels was assessed for 10 panels of different densities, which were created in silico using two sampling methods, random and equally spaced. All LD panels were also imputed to the full 28K HD panel using the parental generation as the reference population, and genomic predictions were re-evaluated. The potential of prioritizing SNPs that are associated with resistance to F. columnare was also tested for the six lower-density panels. RESULTS: The accuracies of both imputation and genomic predictions were similar with random and equally-spaced sampling of SNPs. Using LD panels of at least 3000 SNPs or lower-density panels (as low as 300 SNPs) combined with imputation resulted in accuracies that were comparable to those of the 28K HD panel and were 11% higher than the pedigree-based predictions. CONCLUSIONS: Compared to using the commercial HD panel, LD panels combined with imputation may provide a more affordable approach to genomic prediction of breeding values, which supports a more widespread adoption of genomic selection in aquaculture breeding programmes.

Examining the role of craving in affect regulation models of binge eating: Evidence from an ecological momentary assessment study.

Affect regulation models hypothesize that aversive affective states drive binge-eating behavior, which serves to regulate unpleasant emotions. Research using ecological momentary assessment (EMA) demonstrates that increases in guilt most strongly predict subsequent binge-eating episodes, raising the question: why would individuals with binge-eating pathology engage in a binge-eating episode when they feel guilty? Food craving is a robust predictor of binge eating and is commonly associated with subsequent feelings of guilt. The current study used EMA to test the hypothesis that food craving may promote increased feelings of guilt, which then predict an increased risk of binge eating within a sample of 109 individuals with binge-eating disorder. Multilevel mediation models indicated that increased momentary craving at Time 1 directly predicted a greater likelihood of binge eating at Time 2, and craving also indirectly predicted binge eating at Time 2 through momentary increases in guilt at Time 2. In other words, experiencing food craving at one time point was related to an increased likelihood of binge eating at the next time point, and a portion of this influence was attributable to increasing feelings of guilt. These results challenge simple affect regulation models of binge eating, suggesting that food-related anticipatory reward processes (i.e., craving) may be the primary driver of binge-eating risk and account for the increases in guilt commonly observed prior to binge-eating episodes. Although experimental studies are needed to confirm this possibility, these results suggest the importance of addressing food cravings within interventions for binge-eating disorder. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Ecological momentary assessment of mood regulation eating expectancies in eating disorders: Convergent and predictive validity.

OBJECTIVE: Eating expectancies (EE) are the anticipation of various benefits or detriments from eating, with mood regulation being a salient type of EE associated with eating disorders. This study examined the convergent and predictive validity of ecological momentary assessment (EMA) mood regulation EE items, including mood improvement and mood worsening EE. METHODS: Thirty women with binge-eating pathology completed a 14-day EMA protocol, which included measures of mood regulation EE, affect, appetite, appearance- and body-related factors and disordered-eating behaviours. RESULTS: Greater within-subjects hunger and lower within-subjects positive affect and fullness were related to elevated mood improvement EE. Higher within-subjects appearance concerns, fullness, body social comparisons and thinness pressure were associated with higher mood worsening EE. Greater within-subjects mood worsening EE predicted greater likelihood of vomiting at the subsequent time point, but there were no within-subjects associations between mood improvement EE and behaviours. Yet, greater between-subjects mood worsening EE were associated with more restraint/restriction and binge eating, and greater between-subjects mood improvement EE were associated with more binge eating. CONCLUSIONS: Findings support the convergent validity of EMA mood regulation EE items. There was limited predictive validity evidence, suggesting complexities in how mood regulation EE predict behaviour in daily life.

Evaluation of low-density SNP panels and imputation for cost-effective genomic selection in four aquaculture species.

Genomic selection can accelerate genetic progress in aquaculture breeding programmes, particularly for traits measured on siblings of selection candidates. However, it is not widely implemented in most aquaculture species, and remains expensive due to high genotyping costs. Genotype imputation is a promising strategy that can reduce genotyping costs and facilitate the broader uptake of genomic selection in aquaculture breeding programmes. Genotype imputation can predict ungenotyped SNPs in populations genotyped at a low-density (LD), using a reference population genotyped at a high-density (HD). In this study, we used datasets of four aquaculture species (Atlantic salmon, turbot, common carp and Pacific oyster), phenotyped for different traits, to investigate the efficacy of genotype imputation for cost-effective genomic selection. The four datasets had been genotyped at HD, and eight LD panels (300-6,000 SNPs) were generated in silico. SNPs were selected to be: i) evenly distributed according to physical position ii) selected to minimise the linkage disequilibrium between adjacent SNPs or iii) randomly selected. Imputation was performed with three different software packages (AlphaImpute2, FImpute v.3 and findhap v.4). The results revealed that FImpute v.3 was faster and achieved higher imputation accuracies. Imputation accuracy increased with increasing panel density for both SNP selection methods, reaching correlations greater than 0.95 in the three fish species and 0.80 in Pacific oyster. In terms of genomic prediction accuracy, the LD and the imputed panels performed similarly, reaching values very close to the HD panels, except in the pacific oyster dataset, where the LD panel performed better than the imputed panel. In the fish species, when LD panels were used for genomic prediction without imputation, selection of markers based on either physical or genetic distance (instead of randomly) resulted in a high prediction accuracy, whereas imputation achieved near maximal prediction accuracy independently of the LD panel, showing higher reliability. Our results suggests that, in fish species, well-selected LD panels may achieve near maximal genomic selection prediction accuracy, and that the addition of imputation will result in maximal accuracy independently of the LD panel. These strategies represent effective and affordable methods to incorporate genomic selection into most aquaculture settings.

Economic evaluation of improving HIV self-testing among MSM in China using a crowdsourced intervention: a cost-effectiveness analysis.

OBJECTIVES: Crowdsourcing, which taps into the wisdom of crowds, has been successful in generating strategies to enhance HIV self-testing (HIVST) uptake. We determined the cost-effectiveness of a crowdsourced intervention (one-off or annual) compared with a control scenario (no crowdsourcing) among MSM living in China. DESIGN: Economic evaluation. METHODS: We used data from our cluster randomized controlled trial of MSM (NCT02796963). We used a micro-costing approach to measure direct health costs ($USD2017) from a health provider perspective. Using outputs from a dynamic transmission model over a 20-year time horizon, we estimated the incremental cost-effectiveness ratios using cost per disability-adjusted life years (DALYs) averted with 3% discounting. An intervention was considered highly cost-effective if it was less than one gross domestic product (GDP, $8823) per DALY averted. RESULTS: Across all cities, the crowdsourced intervention was highly cost-effective compared with the control scenario (incremental cost-effectiveness ratios ranged from $2263 to 6152 per DALY averted for annual crowdsourcing; $171 to 204 per DALY averted for one-off crowdsourcing). The one-off intervention was cost-saving in Guangzhou and Qingdao. Sensitivity analyses confirmed the robustness of the findings; specifically, changes in discounting, costs of the crowdsourced intervention, costs of HIV testing and cost of antiretroviral therapy did not alter our conclusions. CONCLUSION: Scaling up a one-off or annual crowdsourced HIV prevention intervention in four cities in China was very likely to be cost-effective. Further research is warranted to evaluate the feasibility of scaling up crowdsourced HIV prevention interventions in other settings and populations.

Autonomic indices and loss-of-control eating in adolescents: an ecological momentary assessment study.

BACKGROUND: Loss-of-control (LOC) eating commonly develops during adolescence, and it predicts full-syndrome eating disorders and excess weight gain. Although negative emotions and emotion dysregulation are hypothesized to precede and predict LOC eating, they are rarely examined outside the self-report domain. Autonomic indices, including heart rate (HR) and heart rate variability (HRV), may provide information about stress and capacity for emotion regulation in response to stress. METHODS: We studied whether autonomic indices predict LOC eating in real-time in adolescents with LOC eating and body mass index (BMI) ⩾70th percentile. Twenty-four adolescents aged 12-18 (67% female; BMI percentile mean ± standard deviation = 92.6 ± 9.4) who reported at least twice-monthly LOC episodes wore biosensors to monitor HR, HRV, and physical activity for 1 week. They reported their degree of LOC after all eating episodes on a visual analog scale (0-100) using a smartphone. RESULTS: Adjusting for physical activity and time of day, higher HR and lower HRV predicted higher self-reported LOC after eating. Parsing between- and within-subjects effects, there was a significant, positive, within-subjects association between pre-meal HR and post-meal LOC rating. However, there was no significant within-subjects effect for HRV, nor were there between-subjects effects for either electrophysiologic variable. CONCLUSIONS: Findings suggest that autonomic indices may either be a marker of risk for subsequent LOC eating or contribute to LOC eating. Linking physiological markers with behavior in the natural environment can improve knowledge of illness mechanisms and provide new avenues for intervention.

Relative food abundance predicts greater binge-eating symptoms in subsequent hours among young adults experiencing food insecurity: Support for the "feast-or-famine" cycle hypothesis from an ecological momentary assessment study.

Food insecurity (FI) may increase risk for binge eating through a "feast-or-famine" cycle, where fluctuations in food availability correspond to alternating periods of food restriction and opportunities for binge eating, but research on this topic is limited. To clarify the relationship between food availability and binge eating in the context of FI, this study examined the association between momentary food security level and subsequent binge-eating symptoms among individuals in food-insecure households and investigated how this association differs by factors that may modify the extent to which food availability fluctuates. Ecological momentary assessment data were collected in 2020-2021 from 75 young adults (Mage = 25.3 ± 1.8 years; 72% female; 72% Black, Indigenous, or a Person of Color) in the United States who had experienced past-month household FI. For 14 days, participants reported four times per day on food security and eating episodes, and binge-eating symptoms were assessed for each reported eating episode. About 35% of the variance in momentary food security ratings was accounted for by within-person variability over time. A significant within-person association was observed in multilevel analyses, indicating that instances of greater food security relative to one's average level predicted greater subsequent binge-eating symptoms. Moderation analyses revealed that this association was significant only among individuals reporting use of food assistance programs, high engagement in resource trade-off coping strategies (e.g., skipping bill payments to buy food), or low food security-related self-efficacy. Overall, findings offer support for the "feast-or-famine" cycle hypothesis as an explanation for the link between FI and binge eating, emphasize the importance of identifying approaches to promote more stable access to adequate food, and suggest potential intervention targets to reduce risk for binge eating in populations experiencing FI.

Assessment of Changes in Child and Adolescent Screen Time During the COVID-19 Pandemic: A Systematic Review and Meta-analysis.

Importance: To limit the spread of COVID-19, numerous restrictions were imposed on youths, including school closures, isolation requirements, social distancing, and cancelation of extracurricular activities, which independently or collectively may have shifted screen time patterns. Objective: To estimate changes in the duration, content, and context of screen time of children and adolescents by comparing estimates taken before the pandemic with those taken during the pandemic and to determine when and for whom screen time has increased the most. Data Sources: Electronic databases were searched between January 1, 2020, and March 5, 2022, including MEDLINE, Embase, PsycINFO, and the Cochrane Central Register of Controlled Trials. A total of 2474 nonduplicate records were retrieved. Study Selection: Study inclusion criteria were reported changes in the duration (minutes per day) of screen time before and during the pandemic; children, adolescents, and young adults (≤18 years); longitudinal or retrospective estimates; peer reviewed; and published in English. Data Extraction and Synthesis: A total of 136 articles underwent full-text review. Data were analyzed from April 6, 2022, to May 5, 2022, with a random-effects meta-analysis. Main Outcomes and Measures: Change in daily screen time comparing estimates taken before vs during the COVID-19 pandemic. Results: The meta-analysis included 46 studies (146 effect sizes; 29 017 children; 57% male; and mean [SD] age, 9 [4.1] years) revealed that, from a baseline prepandemic value of 162 min/d (2.7 h/d), during the pandemic there was an increase in screen time of 84 min/d (1.4 h/d), representing a 52% increase. Increases were particularly marked for individuals aged 12 to 18 years (k [number of sample estimates] = 26; 110 min/d) and for device type (handheld devices [k = 20; 44 min/d] and personal computers [k = 13; 46 min/d]). Moderator analyses showed that increases were possibly larger in retrospective (k = 36; 116 min/d) vs longitudinal (k = 51; 65 min/d) studies. Mean increases were observed in samples examining both recreational screen time alone (k = 54; 84 min/d) and total daily screen time combining recreational and educational use (k = 33; 68 min/d). Conclusions and Relevance: The COVID-19 pandemic has led to considerable disruptions in the lives and routines of children, adolescents, and families, which is likely associated with increased levels of screen time. Findings suggest that when interacting with children and caregivers, practitioners should place a critical focus on promoting healthy device habits, which can include moderating daily use; choosing age-appropriate programs; promoting device-free time, sleep, and physical activity; and encouraging children to use screens as a creative outlet or a means to meaningfully connect with others.

Toxicity Assessment of an Anti-Cancer Drug of p-Toluene Sulfonamide in Zebrafish Larvae Based on Cardiovascular and Locomotion Activities.

p-Toluene sulfonamide (p-TSA), a small molecular drug with antineoplastic activity is widely gaining interest from researchers because of its pharmacological activities. In this study, we explored the potential cardio and neural toxicity of p-TSA in sublethal concentrations by using zebrafish as an in vivo animal model. Based on the acute toxicity assay, the 96hr LC50 was estimated as 204.3 ppm, suggesting the overall toxicity of p-TSA is relatively low in zebrafish larvae. For the cardiotoxicity test, we found that p-TSA caused only a minor alteration in treated larvae after no overall significant alterations were observed in cardiac rhythm and cardiac physiology parameters, as supported by the results from expression level measurements of several cardiac development marker genes. On the other hand, we found that acute p-TSA exposure significantly increased the larval locomotion activity during the photomotor test while prolonged exposure (4 days) reduced the locomotor startle reflex activities in zebrafish. In addition, a higher respiratory rate and blood flow velocity was also observed in the acutely treated fish groups compared to the untreated group. Finally, by molecular docking, we found that p-TSA has a moderate binding affinity to skeletal muscle myosin II subfragment 1 (S1), ATPase activity, actin- and Ca2+-stimulated myosin S1 ATPase, and v-type proton ATPase. These binding interactions between p-TSA and proteins offer insights into the potential molecular mechanism of action of p-TSA on observed altered responses toward photo and vibration stimuli and minor altered vascular performance in the zebrafish larvae.

Using DeepLabCut as a Real-Time and Markerless Tool for Cardiac Physiology Assessment in Zebrafish.

DeepLabCut (DLC) is a deep learning-based tool initially invented for markerless pose estimation in mammals. In this study, we explored the possibility of adopting this tool for conducting markerless cardiac physiology assessment in an important aquatic toxicology model of zebrafish (Danio rerio). Initially, high-definition videography was applied to capture heartbeat information at a frame rate of 30 frames per second (fps). Next, 20 videos from different individuals were used to perform convolutional neural network training by labeling the heart chamber (ventricle) with eight landmarks. Using Residual Network (ResNet) 152, a neural network with 152 convolutional neural network layers with 500,000 iterations, we successfully obtained a trained model that can track the heart chamber in a real-time manner. Later, we validated DLC performance with the previously published ImageJ Time Series Analysis (TSA) and Kymograph (KYM) methods. We also evaluated DLC performance by challenging experimental animals with ethanol and ponatinib to induce cardiac abnormality and heartbeat irregularity. The results showed that DLC is more accurate than the TSA method in several parameters tested. The DLC-trained model also detected the ventricle of zebrafish embryos even in the occurrence of heart abnormalities, such as pericardial edema. We believe that this tool is beneficial for research studies, especially for cardiac physiology assessment in zebrafish embryos.

Interrater reliability and internal consistency of the eating disorder examination in the longitudinal assessment of bariatric surgery study.

BACKGROUND: Psychometric studies of eating disorder measures within bariatric surgery populations are limited. OBJECTIVES: To examine the interrater reliability and internal consistency of the Eating Disorder Examination (EDE) among patients before and after bariatric surgery. SETTING: Three clinical centers of the Longitudinal Assessment of Bariatric Surgery Research Consortium. METHODS: The EDE-Bariatric Surgery Version was administered and audio-recorded by trained interviewers before and at annual assessments after bariatric surgery. Approximately 20% of interviews were randomly selected for rating by a second interviewer. Reliability of the original and brief EDE subscales was examined. RESULTS: Interrater reliability of the EDE subscales ranged from .86-.97 for the original subscales and .83-.95 for brief subscales before surgery, and .90-.98 for the original subscales and .92-.97 for brief subscales after bariatric surgery. Interrater agreement (based on kappa) was almost perfect for overeating and binge-eating behaviors and substantial for loss-of-control eating before surgery. Similar interrater agreements (based on kappa) were observed after surgery for subjective overeating and binge-eating episodes. Internal consistency of the subscale and global scores was variable, ranging from .41-.97. CONCLUSION: Findings provide support of the interrater reliability of the EDE, albeit with variable internal consistency, before and after bariatric surgery. Despite support for trained raters to reliably assess EDE constructs, variability in internal consistency suggests that further psychometric testing and rigorous scale development of disordered eating may be needed for the bariatric surgery population.

Pattern learning reveals brain asymmetry to be linked to socioeconomic status.

Socioeconomic status (SES) anchors individuals in their social network layers. Our embedding in the societal fabric resonates with habitus, world view, opportunity, and health disparity. It remains obscure how distinct facets of SES are reflected in the architecture of the central nervous system. Here, we capitalized on multivariate multi-output learning algorithms to explore possible imprints of SES in gray and white matter structure in the wider population (n ≈ 10,000 UK Biobank participants). Individuals with higher SES, compared with those with lower SES, showed a pattern of increased region volumes in the left brain and decreased region volumes in the right brain. The analogous lateralization pattern emerged for the fiber structure of anatomical white matter tracts. Our multimodal findings suggest hemispheric asymmetry as an SES-related brain signature, which was consistent across six different indicators of SES: degree, education, income, job, neighborhood and vehicle count. Hence, hemispheric specialization may have evolved in human primates in a way that reveals crucial links to SES.

Associations of sleep with food cravings and loss-of-control eating in youth: An ecological momentary assessment study.

BACKGROUND: Inconsistent sleep patterns may promote excess weight gain by increasing food cravings and loss-of-control (LOC)-eating; however, these relationships have not been elucidated in youth. OBJECTIVE: We tested whether sleep duration and timing were associated with food cravings and LOC-eating. METHOD: For 14 days, youths wore actigraphy monitors to assess sleep and reported severity of food cravings and LOC-eating using ecological momentary assessment. Generalized linear mixed models tested the associations between weekly and nightly shifts in facets of sleep (i.e., duration, onset, midpoint, and waketime) and next-day food cravings and LOC-eating. Models were re-run adjusting for relevant covariates (e.g., age, sex, adiposity). RESULTS: Among 48 youths (12.88 ± 2.69 years, 68.8% female, 33.3% with overweight/obesity), neither weekly nor nightly facets of sleep were significantly associated with food cravings (ps = 0.08-0.93). Youths with shorter weekly sleep duration (est. ß = -0.31, p = 0.004), earlier weekly midpoints (est. ß = -0.47, p = 0.010) and later weekly waketimes (est. ß = 0.49, p = 0.010) reported greater LOC-eating severity; findings persisted in adjusted models. CONCLUSIONS: In youth, weekly, but not nightly, shifts in multiple facets of sleep were associated with LOC-eating severity; associations were not significant for food cravings. Sleep should be assessed as a potentially modifiable target in paediatric LOC-eating and obesity prevention programs.