Multiple mediation of the association between childhood emotional abuse and adult obesity by anxiety and bulimia - a sample from bariatric surgery candidates and healthy controls.

Bulimia, which means a person has episodes of eating a very large amount of food (bingeing) during which the person feels a loss of control over their eating, is the most primitive reason for being overweight and obese. The extended literature has indicated that childhood emotional abuse has a close relationship with adverse mood states, bulimia, and obesity. To comprehensively understand the potential links among these factors, we evaluated a multiple mediation model in which anxiety/depression and bulimia were mediators between childhood emotional abuse and body mass index (BMI). A set of self-report questionnaires, including the Childhood Trauma Questionnaire (CTQ), Beck Anxiety Inventory, Beck Depression Inventory (BDI), and Eating Disorder Inventory (EDI), was sent out. Clinical data from 37 obese patients (age: 29.65 ± 5.35, body mass index (BMI): 37.59 ± 6.34) and 37 demographically well-matched healthy people with normal body weight (age: 31.35 ± 10.84, BMI: 22.16 ± 3.69) were included in the investigation. We first performed an independent t-test to compare all scales or subscale scores between the two groups. Then, we conducted Pearson correlation analysis to test every two variables' pairwise correlation. Finally, multiple mediation analysis was performed with BMI as the outcome variable, and childhood emotional abuse as the predictive variable. Pairs of anxiety, bulimia, and depression, bulimia were selected as the mediating variables in different multiple mediation models separately. The results show that the obese group reported higher childhood emotional abuse (t = 2.157, p = 0.034), worse mood state (anxiety: t = 5.466, p < 0.001; depression: t = 2.220, p = 0.030), and higher bulimia (t = 3.400, p = 0.001) than the healthy control group. Positive correlations were found in every pairwise combination of BMI, childhood emotional abuse, anxiety, and bulimia. Multiple mediation analyses indicate that childhood emotional abuse is positively linked to BMI (ß = 1.312, 95% CI = 0.482-2.141). The model using anxiety and bulimia as the multiple mediating variables is attested to play roles in the relationship between childhood emotional abuse and obesity (indirect effect = 0.739, 95% CI = 0.261-1.608, 56.33% of the total effect). These findings confirm that childhood emotional abuse contributes to adulthood obesity through the multiple mediating effects of anxiety and bulimia. The present study adds another potential model to facilitate our understanding of the eating psychopathology of obesity.

Not niche: eating disorders as an example in the dangers of overspecialisation.

Labelling specific psychiatric concerns as 'niche' topics relegated to specialty journals obstructs high-quality research and clinical care for these issues. Despite their severity, eating disorders are under-represented in high-impact journals, underfunded, and under-addressed in psychiatric training. We provide recommendations to stimulate broad knowledge dissemination for under-acknowledged, yet severe, psychiatric disorders.

Eating Disorders in Men.

BACKGROUND: Eating disorders are seen mainly as a problem affecting women, not just by the public at large, but also in specialized circles. Although it is true that more women than men suffer from all types of eating disorder, pertinent reviews have clearly shown that they do indeed occur in men, and that the available evidence on the matter is limited. The stigmatization of men with eating disorders makes it harder for these men, and for the relevant professionals, to recognize the symptoms and to seek or provide help. METHODS: This review is based on publications retrieved by a selective search in PubMed on the epidemiological, diagnostic, clinical, and therapeutic aspects of eating disorders in men. RESULTS: Current estimated lifetime prevalences in men are 0.2% for anorexia nervosa, 0.6% for bulimia nervosa, and 1% for bingeeating disorder; the corresponding figures for women are 1.4%, 1.9%, and 2.8%. Men and women may display different manifestations. Women are thought to be mainly seeking a slim figure and weight reduction; men, a muscular build. The established Germanlanguage screening and diagnostic tools, however, do not cover the types of symptoms that are more common in men. Little is known about whether treatment yields comparable results in men and women. CONCLUSION: It is important to combat the stigmati - zation of men with eating disorders and to remove the obstacles to their appropriate diagnosis and treatment. The current methods of screening and diagnosis need to be adapted to take account of the special aspects of abnormal eating behavior in men. It remains unclear whether and how the disorderspecific treatment of these conditions in men should differ from their treatment in women.

Weight stigma is a predictor of disordered eating in Brazilian college students during the COVID-19 pandemic: A 16-month cohort follow-up.

This study examined the relationship between weight stigma and disordered eating behaviors in university students during the COVID-19 pandemic, considering individuals with and without overweight. A national sample of 738 college students completed an online questionnaire at three time points between July 2020 and December 2021, reporting their experiences of weight stigma, perceived increase in weight stigma during the pandemic, internalized weight stigma, and disordered eating behaviors. The findings showed that the trajectories of disordered eating behaviors varied depending on participants' anthropometric status. Among those with overweight, there was a decrease over time in binge eating, food restriction, and purging. Conversely, the non-overweight group experienced a slight increase in binge eating from T2 to T3. Using the Generalized Estimating Equations model, the study revealed that weight stigma predicted disordered eating behaviors in both weight spectrums during the pandemic. Experiences of weight stigma and the perceived increase in weight stigma significantly increased the likelihood of engaging in binge eating, food restriction, and purging among individuals with overweight. Furthermore, the internalization of weight stigma was longitudinally associated with all examined eating behaviors, regardless of anthropometric status. These findings highlight the importance of addressing weight stigma to prevent disordered eating in college students.

Prevalence of Eating Disorders and Their Association with Social Media Addiction among Youths.

Eating disorders and excessive attachment to social media are a matter of great concern among youths. This study assessed the prevalence of eating disorders and their association with social media addiction among youths. A descriptive cross-sectional study was conducted on 350 participants aged 14-25 years. Two pre-validated tools were used, i.e., the Eating Attitude Test and the Social Networking Addiction Scale. SPSS was used to analyze the data. Out of the 350 students, 42% had probable eating disorders, and 41.7% had social media addictions. The findings revealed that the chances of having eating disorders were significantly higher among youths who lived in separate places, smoked, and had a family history of eating disorders (p ≤ 0.05). Furthermore, the dieting domain displayed notably higher scores for youths living separately (p ≤ 0.05) and smokers (p ≤ 0.01). Moreover, the scores for bulimia and food preoccupation were significantly higher among participants who were married (p = 0.038), were smokers (p = 0.027), and had a family history of eating disorders (p = 0.001). Higher scores in the oral control domain were reported by females (p ≤ 0.05) and severely obese youths (p ≤ 0.01). Moreover, social media addiction was significantly higher among students aged 18-21 (p ≤ 0.01). Spearman's correlation revealed that social media addiction has a weak positive relationship with eating disorders (r = 0.133, p ≤ 0.01), particularly bulimia and food preoccupation (r = 0.173, p ≤ 0.001). This reflects the need to address the harmful consequences of social media addiction that might raise the likelihood of developing eating disorders, particularly bulimia nervosa.

Weight stigma and disordered eating behaviors during the COVID-19 pandemic: the mediating role of weight gain concern and psychological distress.

OBJECTIVES: The purpose of this study is to investigate whether the relationship between weight stigma experiences and disordered eating behaviors during the COVID-19 pandemic is mediated by weight gain concern and psychological distress among university students with and without overweight. METHODS: A cross-sectional study was conducted with university students from five regions of Brazil who participated in the baseline assessment of the Online Cohort on Eating Behavior and Health (July/August 2020). Information on the frequency of binge eating episodes, food restriction, and purging, as well as experienced weight stigma, weight gain concern, and psychological distress, were recorded in an online questionnaire. Stratified structural equation modeling (SEM) analyses were performed to address the research questions of interest. RESULTS: Out of the total sample (n = 2511), 33.5% of participants reported experiencing weight stigma. The prevalence of binge eating episodes, food restriction, and purging was 43.7%, 24.1%, and 5.4%, respectively. These behaviors were more prevalent in individuals with overweight than in those without this condition. Furthermore, it was observed that weight gain concern and psychological distress mediated the relationship between weight stigma and disordered eating behaviors regardless of body weight status. CONCLUSIONS: Experiences of weight stigma and disordered eating behaviors were prevalent among Brazilian university students, especially among those with overweight. Weight gain concern and psychological distress appear to be important factors underlying the relationship between these constructs during the pandemic, and they can contribute to the development of targeted strategies for the prevention and management of disordered eating. LEVEL OF EVIDENCE: Level V, cross-sectional study.

Social media and disordered eating among middle-aged women: Not just an adolescent concern.

Evidence suggests social media use is strongly linked to disordered eating (e.g., binge eating and dietary restraint) among adolescent and young adult women, in part because it promotes engagement in social comparison (the tendency to evaluate one's own standing or ability by comparing it to another's). Yet no study has examined the impact of social media use and comparison on disordered eating among middle-aged women. Participants (N = 347), ages 40-63, completed an online survey about their social media use, social comparison, and disordered eating (bulimic symptoms, dietary restraint, and broad eating pathology). Results indicated that 89 % (n = 310) of middle-aged women used social media in the past year. Most participants (n = 260; 75 %) used Facebook, and at least a quarter used Instagram or Pinterest. Approximately 65 % (n = 225) used social media at least daily. Controlling for age and body mass index, social media-specific social comparison was positively associated with bulimic symptoms, dietary restriction, and broad eating pathology (all ps < 0.001). Multiple regression models evaluating frequency of social media use and social media-specific social comparison together revealed that social comparison explained a significant amount of unique variance in bulimic symptoms, dietary restriction, and broad eating pathology (all ps < 0.001) above and beyond frequency of social media use. Instagram explained a significant proportion of variance of dietary restraint compared to other social media platforms (p = .001). Findings suggest a large percentage of middle-aged women frequently engage with some type of social media. Further, social media-specific social comparison, rather than frequency of social media use, may be driving disordered eating in this age group of women.

Shifting age of child eating disorder hospitalizations during the Covid-19 pandemic.

BACKGROUND: We studied the effect of the Covid-19 pandemic on child eating disorder hospitalizations in Quebec, Canada. Quebec had one of the strictest lockdown measures targeting young people in North America. METHODS: We analyzed eating disorder hospitalizations in children aged 10-19 years before and during the pandemic. We used interrupted time series regression to assess trends in the monthly number of hospitalizations for anorexia nervosa, bulimia nervosa, and other eating disorders before the pandemic (April 2006 to February 2020), and during the first (March to August 2020) and second waves (September 2020 to March 2021). We determined the types of eating disorders requiring hospital treatment and identified the age, sex and socioeconomic subgroups that were most affected. RESULTS: Hospitalization rates for eating disorders increased during the first (6.5 per 10,000) and second waves (12.8 per 10,000) compared with the period before the pandemic (5.8 per 10,000). The increase occurred for anorexia nervosa as well as other types of eating disorders. The number of girls and boys aged 10-14 years admitted for eating disorders increased during wave 1. Wave 2 triggered an increase in eating disorder admissions among girls aged 15-19 years. Hospitalization rates increased earlier for advantaged than disadvantaged youth. CONCLUSIONS: The Covid-19 pandemic affected hospitalizations for anorexia nervosa as well as other eating disorders, beginning with girls aged 10-14 years during wave 1, followed by girls aged 15-19 years during wave 2. Boys aged 10-14 years were also affected, as well as both advantaged and disadvantaged youth.

Food Consumption during Binge Eating Episodes in Binge Eating Spectrum Conditions from a Representative Sample of a Brazilian Metropolitan City.

The prevalence of binge eating spectrum conditions (BESC) are increasing globally. However, there is a lack of data from general population samples in low- and middle-income countries. Thus, this study described the food consumption during objective binge eating episodes (OBE) in people with BESC from a metropolitan city in Brazil. Participants comprised 136 adults (18 years old-60 years old) with Binge Eating Disorder (BED), Bulimia Nervosa (BN), or recurrent binge eating (RBE) from a two-phase epidemiological survey. They were interviewed in their homes by trained lay interviewers using the Questionnaire on Eating and Weight Patterns updated for the DSM-5 to assess BESC diagnosis and food consumption during a typical OBE. Overall, participants consumed a mean of 1067 kcal during the episodes. For the most part, these calories were derived from carbohydrates (58%) and lipids (30%), irrespective of the diagnosis. Regarding food item consumption, individuals with BED and RBE consumed staple foods (mainly rice and beans) more frequently than those with BN. Conversely, participants with BN ingested sugar-sweetened beverages more frequently than the BED group. In conclusion, there were differences in the eating patterns of individuals with BESC in Brazil. BED and RBE participants consumed more typical foods, whereas those with BN preferred foods with a high content of energy during their OBE.

Beyond Binge Eating: The Impact of Implicit Biases in Healthcare on Youth with Disordered Eating and Obesity.

(1) Background: Obesity and eating disorders (ED) can coexist resulting in worse health outcomes. Youth with ED are more likely to have obesity relative to peers with a healthy weight. Pediatric providers deliver first-line care to children and youth of all sizes and body shapes from infancy to adolescents. As healthcare providers (HCPs), we bring biases into our practice. Learning to recognize and address these biases is needed to provide the best care for youth with obesity. (2) Purpose: This paper aims to summarize the literature regarding the prevalence of ED beyond binge eating in youth with obesity and discuss how the intersection of weight, gender, and racial biases impact the assessment, diagnosis, and treatment of ED. We provide recommendations for practice and considerations for research and policy. (3) Conclusions: The assessment and treatment of ED and disordered eating behaviors (DEBs) in youth with obesity is complex and requires a holistic approach. This approach begins with identifying and understanding how one's implicit biases impact care. Providing care from a patient-centers lens, which considers how the intersection of multiple stigmatized identities increases the risk for DEBs in youth with obesity may improve long-term health outcomes.

Do Weight Perception Transitions in Adolescence Predict Concurrent and Long-Term Disordered Eating Behaviors?

PURPOSE: Perceiving one's weight as "overweight" is associated with disordered eating in adolescence. Yet, it is unknown whether weight perceptions change during adolescence, or whether these weight perception transitions predict disordered eating. This study aims to: (1) characterize weight perception transitions from early to late adolescence among a population-based sample and (2) examine whether weight perception transitions in adolescence predict concurrent and future disordered eating into young adulthood. METHODS: Eating and Activity in Teens and Young Adults (N = 1,414) survey data were used to examine correlates of weight perception transitions from early (Mage = 14.9 ± 1.6 years) to late adolescence (Mage = 19.4 ± 1.6 years). Adjusted generalized estimating equations were used to determine whether weight perception transitions in adolescence predicted concurrent and future disordered eating in emerging adulthood (Mage = 25.2 ± 1.6 years) and young adulthood (Mage = 31.0 ± 1.6 years). RESULTS: Weight perceptions were stable from early to late adolescence for 77.2% of adolescents, whereas 15.5% transitioned to perceiving their weight as "overweight" and 7.3% stopped perceiving "overweight" in late adolescence. Perceived "overweight", especially in late adolescence, was associated with higher concurrent and long-term disordered eating up to 10 years later. For example, the predicted prevalence of binge eating in young adulthood among individuals who perceived their weight as "overweight" throughout adolescence was 20.1% compared to 6.6% for those who never perceived their weight as "overweight" in adolescence. DISCUSSION: Adolescent weight perception was relatively stable in this population-based sample. However, weight perception transitions that involved perceiving "overweight", particularly in late adolescence, were associated with long-term higher risk of disordered eating.

Twenty-year associations between disordered eating behaviors and sociodemographic features in a multiple cross-sectional sample.

BACKGROUND: Disordered eating behaviors (DEB) impact on health and wellbeing worldwide. This study aimed to examine sociodemographic trends in the prevalence of DEB over 20 years in the Australian general population. METHODS: Data were derived from five sequential cross-sectional surveys (1998, 2008, 2009, 2016 and 2017) with population-representative samples of adults and adolescents residing in South Australia (N = 15 075). DEBs investigated were objective binge eating (OBE), strict dieting/fasting, and purging. Sociodemographic data included gender, age, educational level, work and marital status, and residence. RESULTS: OBE prevalence increased significantly. Strict dieting/fasting also increased from 1998 to 2008/9 but remained stable between 2008/9 and 2016/7. Purging prevalence did not change significantly over time. All survey years were associated with a significantly higher odds of OBE, and strict diet/fasting compared to 1998. Lower age, a higher Accessibility Remoteness Index of Australia (ARIA) score, higher body mass index (BMI), higher educational attainment, and not being in a married or de facto relationship were independently associated with greater adjusted odds for endorsing OBE. Younger age, female gender, and higher BMI were also independently associated with greater adjusted odds for endorsing strict dieting/fasting. CONCLUSIONS: The increased prevalence of DEBs in various strata of Australian society has both public health and clinical implications. The results refute the stereotype that eating disorders (EDs) predominantly affect young women. They build impetus for future research on EDs among men and older individuals, with a view to developing tailored public health and clinical interventions for these populations.

Weight status is associated with clinical characteristics among individuals with bulimia nervosa.

Recent studies have found increasing rates of overweight and obesity in bulimia nervosa (BN). However, the relationships between body mass index (BMI) and BN symptoms and other clinically relevant constructs are unknown. Participants (N = 152 adults with BN) were assigned to three groups by BMI: group with no overweight or obesity (NOW-BN; BMI <25; N = 32), group with overweight (OW-BN; BMI ≥25 and <30; N = 66), and group with obesity (O-BN; BMI ≥30; N = 54). We compared the groups on demographics, diet and weight histories, body esteem, BN symptoms, and depression using chi square, analysis of variance, analysis of covariance, and Poisson regression models. The O-BN group was older (d = 0.57) and OW-BN and O-BN groups had greater proportions of race/ethnic minorities than NOW-BN group. The O-BN group was significantly younger at first diet (d = 0.41) and demonstrated significantly higher cognitive dietary restraint (d = 0.31). Compared to NOW-BN, O-BN participants had lower incidence of objective binge eating (incidence rate ratio [IRR] = 4.86) and driven exercise (IRR = 7.13), and greater incidence of vomiting (IRR = 9.30), laxative misuse (IRR = 4.01), and diuretic misuse (d = 2.08). O-BN participants also experienced higher shape (d = 0.41) and weight (d = 0.42) concerns than NOW-BN and OW-BN, although NOW-BN experienced higher shape (d = 0.44) and weight (d = 0.39) concerns than OW-BN. Groups did not differ on depression scores. These results were replicated when examining BMI as a continuous predictor across the full sample, with the exception of objective binge eating and driven exercise, which were not significantly associated with BMI. Individuals with BN and comorbid obesity have distinct clinical characteristics. Existing interventions may need to be adapted to meet clinical needs of these individuals.

The relationship between anorexia nervosa and bulimia nervosa, attention deficit/hyperactivity disorder, and suicidality in college students.

OBJECTIVE: This study aimed to assess the association between anorexia nervosa (AN), bulimia nervosa (BN), attention deficit/hyperactivity disorder (ADHD), and associated impairments (e.g., suicidality). METHODS: A secondary data analysis of the American College Health Association-National College Health Assessment IIc (Fall 2015-Spring 2019) was conducted to assess the prevalence of comorbid anorexia or bulimia + ADHD, symptoms, and impairments among college student (N = 342,432; Mage  = 20.39, SD = 1.88). Logistic regressions were used to compare eating disorder symptomology, treatment utilisation, and suicidality among college students. RESULTS: Compared to college students without ADHD, college students with ADHD were 18.30× more likely to be diagnosed with anorexia or bulimia and reported greater use of weight loss techniques (p's < 0.001). College students with comorbid anorexia or bulimia + ADHD reported higher rates of dieting to lose weight (aOR = 1.27, 95% CI: 1.12, 1.43, p < 0.001) and treatment utilisation (aOR = 1.30, 95% CI: 1.06, 1.50, p < 0.001) compared to college students with AN or BN only. The highest level of suicidality was reported in college students with the comorbid AN or BN + ADHD. CONCLUSION: Elevated eating disorder symptoms and comorbidity is found among college students with ADHD. Increased screening and prevention for anorexia and bulimia is needed among young adults with ADHD to enhance care for those with these eating disorders.

A systematic review with meta-analyses of the relationship between recurrent binge eating and sleep parameters.

BACKGROUND: Sleep problems are known to compound the negative effects of other health issues, such as eating disorders and the associated behavior of binge eating. Previous studies suggested associations between binge eating and sleep problems, but the strength of the relationship is unknown. METHODS: We conducted a systematic review with meta-analyses examining the relationship between binge eating and sleep parameters. We searched for studies in Scopus, PubMed, and PsycInfo. The quality of evidence, including risk of bias, was assessed with adaptations of the Newcastle-Ottawa Scale and the Joanna Briggs Institute Critical Appraisal Checklist for Quasi-Experimental Studies, depending on study design. Data was synthesized as the difference in sleep between people who did or did not have binge eating. RESULTS: Thirty-one reports of studies met our eligibility criteria. Results are presented in 12 meta-analyses. In the 7 reports of studies (with 4448 participants) that assessed poor overall sleep quality, we found poorer overall sleep quality in people with binge eating compared to people without binge eating, with a standardized mean difference of 0.77 (95% confidence interval [CI] 0.61-0.92; P < 0.001), which is a large effect size. In addition, we found evidence that people with binge eating had significantly greater hypersomnia/daytime sleepiness (7 reports of studies with 4370 participants), insomnia (5 reports of studies with 12,733 participants), and difficulty falling asleep (3 reports of studies with 4089 participants) compared to people without binge eating, with moderate effect sizes (standardized mean differences of 0.57-0.66). CONCLUSIONS: People with binge eating exhibit poorer overall sleep quality compared to people without binge eating, and may also exhibit greater hypersomnia/daytime sleepiness, insomnia, and difficulty falling asleep. It is recommended that healthcare professionals routinely screen for poor overall sleep quality when treating people with binge eating-and address sleep difficulties when present.

Exploring the intersection of multiple social determinants of health and disordered eating behaviors in a population-based sample in the United States.

OBJECTIVE: Disordered eating behaviors (DEBs) have long-term, deleterious effects on health and are more prevalent among socially marginalized groups, likely as a result of systemic inequities across social determinants of health (SDoH). This exploratory study aimed to identify subgroups of emerging adults characterized by main and interactive associations between SDoH and two forms of DEB (binge eating, extreme unhealthy weight control behaviors). METHOD: Participants (n = 1568; age 22.2 ± 2.1 years) from the United States were drawn from the EAT 2010-2018 longitudinal study. Conditional inference tree (CIT) analyses derived main and intersecting SDoH related to DEB across 33 input variables collected during adolescence and emerging adulthood. RESULTS: The binge eating CIT revealed five subgroups (prevalence: 6.3-23.2%) shaped by variables collected during emerging adulthood: appearance-based teasing (p < .001), financial difficulty (p = .003), gender (p < .001), and everyday discrimination (p = .008). The CIT results for extreme unhealthy weight control behaviors derived six subgroups (prevalence: 2.3-45.5%) shaped by weight teasing (p < .001) and gender (p < .001) during emerging adulthood and public assistance (p = .008) and neighborhood safety (p = .007) in adolescence. DISCUSSION: This exploratory study revealed distinct subgroups of emerging adults with varying DEB prevalence, suggesting that variability in DEB prevalence may be partially explained by intersecting SDoH during adolescence and emerging adulthood. Hypothesis-driven research and replication studies are needed to further explore the associations between SDoH and DEB during emerging adulthood. PUBLIC SIGNIFICANCE STATEMENT: Disordered eating behaviors are common among young people in the United States and have long-term health consequences. This exploratory study identified subgroups of young people, characterized by combinations of social inequities (e.g., financial difficulties, teasing). Results highlight high-risk subgroups of emerging adults that should be examined further in hypothesis-driven research.

[Impact of social network use on anorexia and bulimia in female adolescents: a systematic review].

Systematic review of published studies on the impact of social networks (SN) use on anorexia and bulimia in female adolescents. We selected articles published over the past 10 years, written in English, Spanish or Portu-guese found in The Cochrane Library Plus, PubMed, WOS, PsycINFO, and Scopus databases and with enough methodological quality. Nine studies were included in this review with a sample of 2,069 adolescents; 75.3% were female, mean age was 18 years, and mostly used Facebook and Instagram. Despite some positive aspects, SNs promote beauty standards in terms of thinness, allow comparisons between peers increasing concerns about weight, and create spaces that encourage anorexia and bulimia. Therefore, SN use plays a role in the development of eating disorders. The promotion of extreme thinness in girls makes this population more vulnerable.

The effects of the COVID-19 pandemic on disordered eating symptoms in women: A 49-day, daily study before and during the outbreak in the United States.

Longitudinal data are needed to examine effects of the COVID-19 pandemic on disordered eating. We capitalized on an ongoing, longitudinal study collecting daily data to examine changes in disordered eating symptoms in women across 49 days that spanned the time before and during the COVID-19 outbreak in the United States. Women from the Michigan State University Twin Registry (N = 402) completed daily questionnaires assessing a range of symptoms (e.g., binge eating, weight/shape concerns, liking/wanting of palatable food (PF) and whole foods, hunger). Dates of the first US COVID-19 case, first case in each participant's state, and onset of the initial stay-at-home orders (SHOs) were used to categorize women into those who completed all daily assessments prior to, during, or after these dates. We used mixed linear models and specification-curve analysis to examine between-person (i.e., differences between women assessed before vs during/after COVID-19) and within-person (i.e., changes in symptoms from days before to days after the dates) effects of the pandemic. Results showed significantly higher levels of binge-related pathology (e.g., odds of binge eating, liking/wanting of PF) in women who completed assessments during/after COVID-19 events, and significantly increased liking/wanting of PF in the days following the pandemic onset. By contrast, minimal between- or within-person differences were observed for other variables, including weight/shape concerns, compensatory behaviors, hunger, or liking/wanting whole foods. Overall, results suggest a specific effect of the pandemic on binge-related phenotypes in women. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Clinical correlates and prognostic impact of binge-eating symptoms in major depressive disorder.

Binge-eating (BE) symptoms are relatively common in major depressive disorder (MDD), but their prognostic role is not fully understood. This study compared two groups of patients with MDD experiencing or not BE symptoms to ascertain differences in terms of clinical manifestations, presence of bipolar features, and antidepressant treatment outcomes. The study involved 482 outpatients collected within the Combining Medications to Enhance Depression Outcomes (CO-MED) trial, who were assessed with scales for depressive and hypomanic symptomatology, suicidality, comorbid mental disorders, and childhood traumas. BE symptoms were reported in 95 patients (20%). Patients with MDD experiencing BE symptoms were characterized by higher scores of negative self-outlook ( P = 0.0018), negative outlook of future ( P = 0.0014), irritability ( P = 0.0043), comorbid anxiety disorders (generalized anxiety disorder: P = 0.0006; panic disorder: P < 0.0001; social phobia: P < 0.0001), obsessive-compulsive disorder ( P = 0.0053), hypomanic symptoms (increased talkativeness: P = 0.0029; reduced need for sleep: P = 0.0171), and suicidality (suicidal propensity: P = 0.0013; suicidal risk: P = 0.0148; lifetime suicidal behavior: P = 0.0052). BE symptoms (OR = 2.02; 95% CI = 1.06-3.84) and depression severity (OR = 1.04; 95% CI = 1.00-1.08) were independently associated with lifetime attempted suicide. The presence of BE symptoms might indicate higher severity of depressive disorder. Suicidal risk is a major issue in these patients, whereas the association between BE and bipolar features needs further research.

Correlates and impact of DSM-5 binge eating disorder, bulimia nervosa and recurrent binge eating: a representative population survey in a middle-income country.

PURPOSE: Binge eating disorder (BED), bulimia nervosa (BN) and recurrent binge eating (RBE) are binge eating spectrum conditions causing a significant impact in individual's health and functioning. Information regarding those conditions came mostly from high-income countries. The objective of this study was to assess the prevalence of DSM-5 BED, BN and RBE and correlates in a representative sample from a metropolitan area of a middle-income country. METHODS: The data were obtained from a cross-sectional population-based household survey in two stages in Rio de Janeiro, Brazil. Noninstitutionalized residents aged 18-60 years were assessed by lay interviewers using the Questionnaire of Eating and Weight Patterns-5 (QEWP-5). Positive cases and a paired sample screen-negative cases were reassessed by phone with the Eating Disorders Section of SCID-I-P (adapted for DSM-5). The data were collected from September 2019 to February 2020. RESULTS: Overall, 2297 individuals were interviewed. Prevalence of BED was 1.4%, BN 0.7%, RBE 6.2%. Psychiatric comorbidities, such as depression, anxiety and ADHD were significantly more prevalent in people with BED, BN and RBE than in people without these eating problems. Several medical conditions, when controlling for body mass index, were significantly more prevalent in people with BED, BN and RBE. People with BED and BN had marked impairments in work/school, social and family life, reduced mental and physical HRQoL and under half had sought treatment. CONCLUSION: As in high income countries, in Rio de Janeiro, Brazil, BED, BN and RBE are prevalent conditions and are associated with elevated BMI, functional impairment, psychiatric and medical comorbidity and poorer HRQoL.