Association of Genetic and Phenotypic Assessments With Onset of Disordered Eating Behaviors and Comorbid Mental Health Problems Among Adolescents

Body image as a mediator in the relationship between psychotic experiences and later disordered eating: A 12-month longitudinal study in high school adolescents

BACKGROUND

The relationship between psychosis and disordered eating remains a challenging area of research to which little interest was paid. Using longitudinal data, we aimed to explore the hypothesis that the pathways from psychotic experiences (PEs) to disordered eating (DE) and body-mass index (BMI) are mediated by body-image disturbances.

METHODS

A prospective longitudinal study was performed. High-school students (N = 510, 61.2% females, mean age of 16.05 ± 1.01 years) were asked to complete three scheduled assessments (Baseline, 6 months, and 12 months).

RESULTS

Two body image components, that is, Overweight Preoccupation and Body Area Satisfaction, mediated the prospective association between baseline PEs and DE 12 months later. Direct effects were significant. After accounting for indirect effects through more severe body image concerns at 6 months, higher baseline PEs were significantly associated with greater DE at 12 months. Baseline PEs and 6-month body image explained a significant proportion of variance in 12-month DE. However, we did not find evidence of a direct prospective association between PEs and BMI.

CONCLUSION

This study is the first to assess the mediating role of body image between PEs and DE. Findings offer promising new avenues for early intervention to help mitigate the effects of PEs on DE in adolescents.

Eating behavior during pregnancy mediates the association between depression and diet quality--a new strategy for intervention in pregnancy

Background

Depression can result in changes in eating behavior and decrease the quality of eating. It has been shown that maternal depression during pregnancy can result in malnutrition, which can have adverse effects on the pregnancy and the offspring. There is currently no clear association between depression and diet.

Methods

Five hundred and forty-nine pregnant women recruited from Danyang Maternal and Child Health Hospital in Jiangsu Province participated in this study and were administered the Intuitive Eating Scale-2 (IES-2), Edinburgh Post-natal Depression Scale (EPDS), Pregnancy Stress Scale (PPS), Self-rating Anxiety Scale (SAS), and Dietary Guidelines Adherence Index for Pregnant Women during Pregnancy (CDGCI-PW). The nutritional software collected dietary records for three consecutive days in mid-pregnancy to calculate dietary intake and nutrients that support energy production. The mediation analyses were conducted using SPSS 24.0 macro PROCESS.

Results

The relationship between depressive symptoms during pregnancy and diet quality was moderated primarily by two aspects of eating behavior, "Reliance on Hunger and Satiety Cues" (RHS) and "Body-Food Choice Congruence" (BFC). Depressive symptoms (EPDS scores) showed a negative correlation with RHS, BFC, and RHS, and BFC showed a positive correlation with diet quality, yielding a significant specific indirect effect. The multiple mediation model explained 14.7% of the variance in the diet quality.

Conclusion

This study highlights the important role of eating behaviors during pregnancy in the relationship between depressive symptoms (EPDS scores) and diet quality, and provides preliminary evidence for feasible ways pregnant women with depressive symptoms can improve diet quality, promote maternal and child health, and reduce depression.

Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder

This study uses machine learning models to uncover diagnostic and risk prediction markers for eating disorders (EDs), major depressive disorder (MDD), and alcohol use disorder (AUD). Utilizing case-control samples (ages 18-25 years) and a longitudinal population-based sample (n=1,851), the models, incorporating diverse data domains, achieved high accuracy in classifying EDs, MDD, and AUD from healthy controls. The area under the receiver operating characteristic curves (AUC-ROC [95% CI]) reached 0.92 [0.86-0.97] for AN and 0.91 [0.85-0.96] for BN, without relying on body mass index as a predictor. The classification accuracies for MDD (0.91 [0.88-0.94]) and AUD (0.80 [0.74-0.85]) were also high. Each data domain emerged as accurate classifiers individually, with personality distinguishing AN, BN, and their controls with AUC-ROCs ranging from 0.77 to 0.89. The models demonstrated high transdiagnostic potential, as those trained for EDs were also accurate in classifying AUD and MDD from healthy controls, and vice versa (AUC-ROCs, 0.75-0.93). Shared predictors, such as neuroticism, hopelessness, and symptoms of attention-deficit/hyperactivity disorder, were identified as reliable classifiers. For risk prediction in the longitudinal population sample, the models exhibited moderate performance (AUC-ROCs, 0.64-0.71), highlighting the potential of combining multi-domain data for precise diagnostic and risk prediction applications in psychiatry.

Disordered eating behaviors, body dissatisfaction and their determinants in Indian adolescents: A cross-sectional observational study

Objective

Although the prevalence of disordered eating is maximum in high-income countries, the most significant rise occurred in East Asia and South Asia over the last three decades. Body dissatisfaction and disordered eating behaviors (DEBs) are more common than full-blown eating disorders. The cognitive distortion leading to these manifestations mainly occurs during adolescence and early adulthood. In this study, we assess the burden of DEBs in a cohort of Indian adolescents and determine their correlation with body dissatisfaction, calorie intake, and clinicosocial determinants.

Methods

The study was conducted from November 2016 to November 2020 and enrolled 180 adolescents of 10-18 years attending the outpatient department of a tertiary-care hospital. Subjects were screened for DEBs, using a 15-item Screening Questionnaire for Eating Distress Syndromes, and for body dissatisfaction, using Photographic-Figure-Rating-Scale. Clinicosocial interviews, dietary and anthropometric evaluation, and psychiatric screening using a Mini-International Neuropsychiatric Interview (MINI-KIDS screen) were conducted.

Results

DEB was present in 17.2% of adolescents, while 81.1% had body dissatisfaction and 32.2% had some psychiatric symptoms. The prevalence of DEBs in females was much higher than in males (OR = 7.89, 95%CI: 2.25-27.75, P = 0.001). More males (84.1%) reported body dissatisfaction than females (76.7%) [χ² =9.2, P = 0.010]. However, while females wished to lose weight, males desired weight gain, as measured by body dissatisfaction score (t = 2.9, P = 0.004). Apart from sex, other factors found significant in predicting DEBs in multivariate analysis were education, body dissatisfaction, BMI, and the number of siblings.

Conclusion

We conclude that, unlike overt eating disorders, DEBs are common in Indian adolescents. The development of DEBs is influenced by gender, education, body dissatisfaction, BMI, and the number of siblings.

The global prevalence of screen-based disordered eating and associated risk factors among high school students: systematic review, meta-analysis, and meta-regression

OBJECTIVE

Estimate the prevalence, and associated risk factors, of high school students who are considered at risk for an eating disorder based on screening measures.

METHODS

An electronic search of nine databases was completed from their inception until 1st September 2022. A random-effects meta-analysis was conducted, and confounder (moderator) analyses and meta-regressions examined whether the overall prevalence estimate for of screen-based disordered eating (SBDE) was moderated by student age, BMI, or gender, as well as culture and type of SBDE assessment.

RESULTS

The mean estimate of the prevalence of SBDE among high school students (K = 42 (66 datapoints), N = 56282] in the sample of 25 countries was 13% ([95% CI] = 10.0-16.8%, I2 = 99.0%, Cochran's Q p = 0.001). This effect was not moderated by features of the samples such as gender, BMI, or age. Among cultures, non-Western countries had a higher prevalence of SBDE prevalence than Western countries, but the difference was not significant. There was considerable variability in the prevalence estimates as a function of the assessment measure, but no meaningful pattern emerged.

CONCLUSION

The estimated figure of 1 in 8 high school students with SBDE-unmoderated by gender and BMI-stands out as a problem in need of attention from public health officials, psychologists, psychiatrists, pediatricians, parents, and educators. There is a great need for innovative, integrated policy and program development all along the spectrum of health promotion and universal, selective, and indicated prevention. Further research is also needed to validate and refine this estimate by (a) conducting basic research on the accuracy of eating disorder screening measurements in samples ages 14 through 17; (b) examining representative samples in more countries in general and Latin American countries in particular; (c) clarifying the relationships between SBDE and age throughout the different phases of late childhood, adolescence, and emerging adulthood; and (d) investigating whether there are meaningful forms of disordered eating and whether these are associated with variables such as gender, ethnicity, and BMI.

Exploring the Relationship between Micronutrients and Athletic Performance: A Comprehensive Scientific Systematic Review of the Literature in Sports Medicine

The aim of this systematic review is twofold: (i) to examine the effects of micronutrient intake on athletic performance and (ii) to determine the specific micronutrients, such as vitamins, minerals, and antioxidants, that offer the most significant enhancements in terms of athletic performance, with the goal of providing guidance to athletes and coaches in optimizing their nutritional strategies. The study conducted a systematic search of electronic databases (i.e., PubMed, Web of Science, Scopus) using keywords pertaining to micronutrients, athletic performance, and exercise. The search involved particular criteria of studies published in English between 1950 and 2023. The findings suggest that vitamins and minerals are crucial for an athlete's health and physical performance, and no single micronutrient is more important than others. Micronutrients are necessary for optimal metabolic body's functions such as energy production, muscle growth, and recovery, which are all important for sport performance. Meeting the daily intake requirement of micronutrients is essential for athletes, and while a balanced diet that includes healthy lean protein sources, whole grains, fruits, and vegetables is generally sufficient, athletes who are unable to meet their micronutrient needs due to malabsorption or specific deficiencies may benefit from taking multivitamin supplements. However, athletes should only take micronutrient supplements with the consultation of a specialized physician or nutritionist and avoid taking them without confirming a deficiency.

Altered anticipatory brain responses in eating disorders: A neuroimaging meta-analysis

OBJECTIVE

Functional neuroimaging studies have found differential neural activation patterns during anticipation-related paradigms in participants with eating disorders (EDs) compared to controls. However, publications reported conflicting results on the directionality and location of the abnormal activations. There is an urgent need to integrate our existing knowledge of anticipation, both rewarding and aversive, to elucidate these differences.

METHOD

We conducted an activation likelihood estimation (ALE) meta-analysis to quantitatively review functional neuroimaging studies that evaluated differences between brain correlates of anticipation in participants with and without disordered eating. PubMed, Web of Sciences, PsycINFO, Medline and EMBASE were searched for studies published up to November 2022. Exploratory sub-analyses to check for differences between reward and non-reward anticipation among all anticipation paradigms.

RESULTS

Twenty-one references met the inclusion criteria for meta-analysis. The meta-analysis across anticipation all tasks identified a significant hyperactivation cluster in the right putamen in participants with disordered eating (n = 17 experiments) and a significant hypoactivation cluster in the left inferior parietal lobule (n = 13 experiments), in participants with disordered eating compared to controls.

CONCLUSIONS

These findings and sub-analyses of reward- and non-reward-related cues suggest potential pathophysiological mechanisms underlying anticipatory responses to rewarding and aversive cues in ED.

Risk factors for eating disorders: findings from a rapid review

BACKGROUND

Risk factors represent a range of complex variables associated with the onset, development, and course of eating disorders. Understanding these risk factors is vital for the refinement of aetiological models, which may inform the development of targeted, evidence-based prevention, early intervention, and treatment programs. This Rapid Review aimed to identify and summarise research studies conducted within the last 12 years, focusing on risk factors associated with eating disorders.

METHODS

The current review forms part of a series of Rapid Reviews to be published in a special issue in the Journal of Eating Disorders, funded by the Australian Government to inform the development of the National Eating Disorder Research and Translation Strategy 2021-2031. Three databases were searched for studies published between 2009 and 2021, published in English, and comprising high-level evidence studies (meta-analyses, systematic reviews, moderately sized randomised controlled studies, moderately sized controlled-cohort studies, or population studies). Data pertaining to risk factors for eating disorders were synthesised and outlined in the current paper.

RESULTS

A total of 284 studies were included. The findings were divided into nine main categories: (1) genetics, (2) gastrointestinal microbiota and autoimmune reactions, (3) childhood and early adolescent exposures, (4) personality traits and comorbid mental health conditions, (5) gender, (6) socio-economic status, (7) ethnic minority, (8) body image and social influence, and (9) elite sports. A substantial amount of research exists supporting the role of inherited genetic risk in the development of eating disorders, with biological risk factors, such as the role of gut microbiota in dysregulation of appetite, an area of emerging evidence. Abuse, trauma and childhood obesity are strongly linked to eating disorders, however less conclusive evidence exists regarding developmental factors such as role of in-utero exposure to hormones. Comorbidities between eating disorders and mental health disorders, including personality and mood disorders, have been found to increase the severity of eating disorder symptomatology. Higher education attainment, body image-related factors, and use of appearance-focused social media are also associated with increased risk of eating disorder symptoms.

CONCLUSION

Eating disorders are associated with multiple risk factors. An extensive amount of research has been conducted in the field; however, further studies are required to assess the causal nature of the risk factors identified in the current review. This will assist in understanding the sequelae of eating disorder development and in turn allow for enhancement of existing interventions and ultimately improved outcomes for individuals.

The Relationship between Binge Drinking and Binge Eating in Adolescence and Youth: A Systematic Review and Meta-Analysis

Adolescence and youth are critical periods in which alcohol consumption is usually initiated, especially in the form of binge drinking. In recent years, it is increasingly common to find adolescents and young people who also present binge behaviors towards unhealthy food with the aim of alleviating their anxiety (emotional eating) and/or because of impulsive personality. Despite the social and health relevance of this issue, it remains scarcely studied and more preventive research needs to be developed. Our meta-analysis study aimed to evaluate the relationship and co-occurrence of both binge behaviors during adolescence and young adulthood to clarify the link between binge drinking and eating. Selective literature search on different online databases was performed. We identified discrete but significant results regarding the direct association between binge drinking and binge eating in correlation coefficients and odds ratio. Future research should focus on the common psychological background and motives behind these problematic behaviors owing to their clinical implications for effective prevention and treatment.

Associations between disordered eating and body focused repetitive behaviors in college students

Objective: College students with disordered eating (DE) are at increased risk of body focused repetitive behaviors (BFRBs). Both DE and BFRBs are described as impulsive and compulsive. However, the associations of impulsive DE with impulsive BFRBs and compulsive DE with compulsive BFRBs have not been examined.Methods: 191 college-aged students completed a survey of BFRBs and DE.Results: Participants who reported hair pulling were twice as likely to report clinically significant DE than those who denied hair pulling (p = .022). Participants who endorsed distressing hair pulling (p = .026), skin picking (p = .052), and nail biting (p = .094) were twice as likely to report clinically significant DE than those who were not distressed by these behaviors. Evidence did not support the association of BFRBs and DE along an impulsive/compulsive continuum.Conclusions: Results suggest that BFRBs and DE often co-occur, and the role of impulsivity and compulsivity in these behaviors is complex.

Eating disorder symptoms and their associations with anthropometric and psychiatric polygenic scores

Background

Eating disorder (ED) symptoms are prevalent in the general population, but their shared genetic underpinnings with psychiatric, metabolic, and anthropometric traits are not known. Here, we examined if polygenic scores (PGSs) of traits associated with anorexia nervosa are also associated with adolescent ED symptoms in the Avon Longitudinal Study of Parents and Children (ALSPAC).

Methods

A total of 8654 participants with genotype data and at least one phenotypic measure were included from the ALSPAC study. We associated PGS from 25 traits (16 psychiatric, 4 metabolic, and 5 anthropometric) with eight ED symptoms, including behaviours such as fasting for weight loss and cognitions such as body dissatisfaction.

Results

Higher attention deficit hyperactivity disorder PGS and lower educational attainment PGS were associated with fasting for weight loss. Higher insomnia PGS was associated with increased body dissatisfaction. We found no evidence of an association between metabolic trait PGS and any ED symptom. Fat‐free mass, fat mass, and body fat percentage PGSs, were positively associated with binge eating, excessive exercise, fasting for weight loss, body dissatisfaction, and weight and shape concern.

Conclusions

ED symptoms are genetically associated with psychiatric and anthropometric, but not with metabolic traits. Our findings provide insights for future genetic research investigating on why some individuals with ED symptoms progress to develop threshold EDs while others do not.

Several eating disorder symptoms (i.e., binge eating, fasting for weight loss, and body dissatisfaction) in this study were significantly associated with both psychiatric and anthropometric polygenic scores emphasising the genetic complexity of these traits.

Eating disorder symptoms as present in the general population and threshold eating disorders may be partially etiologically related (i.e., psychiatric and anthropometric origins), but metabolic genetic factors may differentiate between symptoms and threshold eating disorders.

Metabolic disturbances could therefore be the catalyst that puts some individuals on a developmental trajectory leading to threshold eating disorders.

10 tips on working with human body donors in medical training and research

Human body donors selflessly decided to make the ultimate gift to donate their bodies to education. Being on the receiving end, the health sciences education community owes it to the donors to ensure that they are being treated with utmost respect by promoting and developing high ethical standards and maximizing the benefits from this gift. Working with human body donors for research purposes has increased over the years, while regulations associated with these processes did not change. This article draws upon current literature and author’s experiences to offer practical tips for health educators and everyone working with body donors to achieve these goals. We offer 10 practical tips that help in starting the conversation about the best ways to work with body donors to maximize their contribution to health sciences education.

Editorial: The Altered Brain Network Architecture of Anorexia Nervosa

A deeper understanding of neurobiological basis of disease is key to mental health research and clinical practice. This could lead to more targeted treatments, improved survival rates, and better outcomes. This is the challenge now undertaken by scientists around the globe who study the human brain in health and disease to identify brain systems involved in clinical syndromes. Several well-powered magnetic resonance imaging (MRI) studies have established the existence of differences in brain structure in several groups of patients compared to healthy individuals.¹ Recent technological advances in network analyses allowing examination of whole-brain connectivity are moving the field forward, providing evidence that major psychiatric disorders arise from perturbations in a complex network of highly connected, anatomically distributed neural systems rather than dysfunctions of circumscribed brain regions.².

Delay discounting, time perspective, and self-schemas in adolescent alcohol drinking and disordered eating behaviors

Delay discounting, time perspective, and self-schemas are well-known predictors of health risk behaviors among adolescents. However, the associations between these constructs and their influence on such behaviors are yet to be examined. This study aimed to determine the relationships among three cognitive constructs, namely, delay discounting, time perspective, and self-schemas, and determine the associations of these constructs with alcohol drinking (alcohol use and alcohol problems) and disordered eating behaviors in adolescents. Participants were 436 eighth-graders from three public junior high schools in southern Taiwan, who answered an anonymous questionnaire assessing self-schema, delay discounting, time perspective, and health risk behaviors. Generalized linear models with robust estimation were performed to estimate the effects; gender was the covariate. Delay discounting was associated with alcohol use (OR = 1.15), but not alcohol problems and disordered eating behaviors. Present-Hedonistic time perspective was associated with alcohol use (OR = 2.01), alcohol problems (IRR = 2.23), and disordered eating behaviors (Exp(b) = 1.38); while Future time perspective was associated with alcohol problems (IRR = 2.18). Drinker self-schema was associated with alcohol use (OR = 1.62) and alcohol problems (IRR = 1.71). Fat/overweight self-schema was associated with overall disordered eating (Exp(b) = 1.03). Thus, the findings suggest that each of the three constructs is independently associated with drinking and disordered eating behaviors, and these associations vary according to the specific type of behavior. Future research identifying the underlying mechanisms linking these constructs to the abovementioned behaviors can be useful for developing targeted intervention strategies.

The outcomes of mindfulness-based interventions for Obesity and Binge Eating Disorder: A meta-analysis of randomised controlled trials

BACKGROUND

Mindfulness Based Interventions (MBIs) for weight loss and overeating-related behaviours have recently gained popularity. Previous systematic reviews and meta-analyses included studies of variable quality, which hinders interpretation of results. This meta-analysis examined only randomised controlled trials (RCTs) comparing the efficacy of MBIs with control groups primarily encouraging either dietary or exercise-based behavioural change in individuals with overweight/obesity and/or binge eating disorder (BED).

METHODS

Using PRISMA guidelines, we systematically reviewed relevant articles in Medline, Psychinfo and EMBASE. Twelve eligible RCTs were identified, with three random-effects meta-analyses conducted on primary outcome measures of body mass (N = 11), mindfulness (N = 7) and BED symptoms (N = 3).

RESULTS

MBIs were more efficacious than control in increasing mindfulness scores and decreasing BED symptoms from pre-to post-treatment. However, they were no more efficacious than control in reducing body mass which may be attributed to variability in the duration of interventions. Based on intervention duration, exploratory cumulative meta-analyses revealed that while shorter interventions (i.e., 6 weeks) showed greater reductions in body mass compared to longer interventions (i.e., 24 weeks), longer interventions led to greater improvements in mindfulness scores and BED symptoms.

CONCLUSIONS

These results highlight the potential of MBIs to improve obesity-related behaviours compared to lifestyle interventions, but their effects on short-term weight loss remain unclear. Future research with a rigorous methodology should consider long-term follow-ups including body mass and mindfulness-related outcome measures in order to establish the clinical potential of MBIs.

The Role of the Environment in Overweight and Eating Behavior Variability: Insights from a Multivariate Twin Study

Research has emphasized the genetic basis of individual differences in body mass index (BMI); however, genetic factors cannot explain the rapid rise of obesity. Eating behaviors have been stipulated to be the behavioral expression of genetic risk in an obesogenic environment. In this study, we decompose variation and covariation between three key eating behaviors and BMI in a sample of 698 participants, consisting of 167 monozygotic, 150 dizygotic complete same-sex female twins and 64 incomplete pairs from a population-based twin registry in the southeast of Spain, The Murcia Twin Registry. Phenotypes were emotional eating, uncontrolled eating and cognitive restraint, measured by the Three Factor Eating Questionnaire and objectively measured BMI. Variation in eating behaviors was driven by nonshared environmental factors (range: 56%-65%), whereas shared environmental and genetic factors were secondary. All three eating behaviors were correlated with BMI (r = .19-.25). Nonshared environmental factors explained the covariations (Emotional eating-Uncontrolled eating: rE = .54, 95% CI [.43, .64]; BMI-Cognitive restraint: rE = .15, 95% CI [.01, .28]). In contrast to BMI, individual differences in eating behaviors are mostly explained by nonshared environmental factors, which also accounted for the phenotypic correlation between eating behaviors and BMI. Due to the sample size, analyses were underpowered to detect contributions of additive genetic or shared environmental factors to variation and covariation of the phenotypes. Although more research is granted, these results support that eating behaviors could be viable intervention targets to help individuals maintain a healthy weight.