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.

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.

Association of body mass index with progression from binge-eating behavior into binge-eating disorder among adolescents in the United States: A prospective analysis of pooled data.

The association between body mass index (BMI) and binge-eating disorder (BED) is well-established. However, data on the extent to which BMI is associated with progression from binge-eating behavior into BED among adolescents are limited, which was the aim of this investigation. Participants were 9964 U.S. adolescents from the Adolescent Brain Cognitive Development (ABCD) Study, aged 9-13 at the time of study enrollment. A computerized parent-reported assessment was used to establish adolescents' binge-eating behaviors and BED. Cox proportional hazards models adjusting for sociodemographic covariates were used to examine prospective associations between BMI and likelihood of BED onset among a) adolescents with binge-eating behavior, and b) adolescents with no binge-eating behavior. Of 975 adolescents who met the study criteria for binge-eating behavior, 89 (9.1%) subsequently met the study criteria for BED. Of 8989 adolescents with no binge-eating behavior, 82 (0.9%) subsequently met the study criteria for BED. BMI percentile was significantly associated with the likelihood of BED onset in participants with (adjusted HR = 1.03, 95% confidence interval [CI] 1.00, 1.06) and participants without (adjusted HR = 1.05, 95% CI 1.03, 1.07) binge-eating behavior. Results were also significant when examining BMI as a dichotomous predictor (above and below 85th percentile) among those with (adjusted HR = 2.60, 95% CI 1.00, 6.68) and those without (adjusted HR = 6.01, 95% CI 3.90, 11.10) binge-eating behavior. Overall, results indicate that elevated BMI is prospectively associated with a greater risk for BED onset among U.S. adolescents with or without binge-eating behavior. Adolescents with a higher BMI may benefit from screening for binge eating, and prevention/early intervention strategies to mitigate the risk for developing BED.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Food insecurity and its associations with bulimic-spectrum eating disorders, mood disorders, and anxiety disorders in a nationally representative sample of U.S. adults.

PURPOSE: To examine cross-sectional associations between food insecurity and 12-month eating disorders, mood disorders, and anxiety disorders among U.S. adults. METHODS: This study used data collected between 2001 and 2003 from 2914 participants in the National Comorbidity Survey-Replication, a nationally representative sample of U.S. adults (mean age = 44.9 years; 53.4% female). Twelve-month food insecurity was assessed with a modified version of the Short Form U.S. Household Food Security Scale. Twelve-month DSM-IV diagnoses of mental disorders were based on the World Health Organization Composite International Diagnostic Interview. Modified Poisson regression models were conducted, adjusting for age, sex, race/ethnicity, education, and income-to-poverty ratio. RESULTS: Food insecurity was experienced by 11.1% of participants. Food insecurity was associated with greater prevalence of bulimic-spectrum eating disorders (prevalence ratio [PR] = 3.81; 95% confidence interval [CI] 2.26-6.42), mood disorders (PR = 2.53; 95% CI 1.96-3.29), and anxiety disorders (PR = 1.69; 95% CI 1.39-2.07). CONCLUSION: Results indicate that food insecurity is associated with a range of internalizing mental disorders, though these findings should be confirmed with contemporary data to reflect DSM-5 diagnostic updates and the economic effects of the COVID-19 pandemic. Findings from this study emphasize the need to expand food insecurity interventions and improve access to mental health services for food-insecure populations.

Adverse experiences as predictors of maladaptive and adaptive eating: Findings from EAT 2018.

Adverse experiences, such as childhood abuse and other violence victimization, are associated with problematic eating. However, whether different types of adversity relate to both maladaptive and adaptive eating behaviors is unclear. This study examined the associations of different adverse experiences with maladaptive (i.e., overeating and binge eating) and adaptive (i.e., intuitive eating and mindful eating) eating by gender. Data were derived from the EAT-2018 (Eating and Activity over Time) study (N = 1411, aged 18-30 years in 2017-2018). Modified Poisson regressions were used to examine the associations between adverse experiences and the prevalence of maladaptive eating. Linear regressions were used to examine the associations between adverse experiences and adaptive eating scores. Each adverse experience was associated with greater prevalence of maladaptive eating and lower adaptive eating scores. Among women, intimate partner sexual violence was strongly associated with more overeating (PR = 2.1 [95% CI = 1.4-3.1]) and binge eating (PR = 2.4 [95% CI = 1.5-3.9]), and less mindful eating (ß = -0.6, [95% CI = -0.8, -0.3]); being attacked, beaten, or mugged was most associated with less intuitive eating (ß = -0.5, [95% CI = -0.8, -0.2]). Among men, being attacked, beaten, or mugged was strongly associated with more overeating (PR = 2.1 [95% CI = 1.2-3.5]) and binge eating (PR = 3.2 [95% CI = 1.6-6.5]); intimate partner physical violence was strongly associated with less intuitive eating (ß = -0.6, [95% CI = -0.9, -0.2]); childhood emotional abuse was strongly associated with less mindful eating (ß = -0.8, [95% CI = -1.0, -0.5]). To improve eating behaviors, adverse life experiences and the potential impact on maladaptive and adaptive eating should be considered.

Everyday discrimination as a predictor of maladaptive and adaptive eating: Findings from EAT 2018.

Various types of stressors are associated with maladaptive eating, but how the stressor of everyday discrimination (e.g., less respect, poorer service) relates to maladaptive eating and adaptive eating remains unclear. We examined everyday discrimination as a predictor of maladaptive and adaptive eating. Data were collected in a population-based study, Eating and Activity over Time (N = 1410, ages 18-30). Everyday discrimination was categorized as none, low, moderate, or high. Outcomes included maladaptive eating (i.e., overeating and binge eating) and adaptive eating (i.e., intuitive eating and mindful eating). Modified Poisson regressions estimated the prevalence ratios (PRs) for overeating and binge eating associated with everyday discrimination. Linear regressions estimated associations between everyday discrimination and intuitive and mindful eating scores. After adjustment for age, ethnicity/race, gender, and socioeconomic status, moderate and high levels of discriminatory experiences were each associated with a significantly greater prevalence of binge eating (PR = 2.2, [95% CI = 1.3-3.7] and PR = 3.1, [95% CI = 2.0-4.7], respectively) and lower intuitive (ß = -0.4, [95% CI = -0.7, -0.2] and ß = -0.5 [95% CI = -0.8, -0.3], respectively), and mindful eating scores (ß = -0.3, [95% CI = -0.6, -0.1] and ß = -0.5 [95% CI = -0.8, -0.3], respectively) compared to young adults with no discriminatory experience. Public health efforts to prevent maladaptive eating and encourage the adoption of adaptive eating should consider the potential contribution of everyday discrimination and the need to advocate for equity and inclusion.

Socially prescribed perfectionism predicts next-day binge eating behaviors over 20-days.

Existing research on perfectionism and binge eating suggests that socially prescribed, self-oriented, and other-oriented perfectionism (Socially Prescribed Perfectionism, SPP; Self-Oriented Perfectionism, SOP; and Other-Oriented Perfectionism, OOP) are differentially related to binge eating. However, previous studies have largely utilized cross-sectional methodology. The present study used a 20-day daily diary methodology to examine associations between daily levels of perfectionistic dimensions and next-day binge eating behaviors with a nonclinical sample of emerging adults (N = 263). Zero-inflated negative binomial regression models indicated that daily SPP (but not SOP or OOP) predicted a greater intensity of next-day binge eating behaviors in the count portion of the model; however, daily levels of perfectionistic dimensions did not predict the presence/absence of next-day binge eating behaviors in the zero-inflated portion of the model. Additionally, analyses examining the reverse causal direction (i.e., binge eating behaviors predicting higher next-day perfectionism) failed to provide evidence that the occurrence or intensity of binge eating behaviors predicts next-day levels of SPP, SOP, or OOP. Overall, at a daily level, SPP appears to be a vulnerability factor for binge eating behaviors. It may be helpful for clinicians to target state-levels of SPP to reduce harmful binge eating behaviors. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Relationship between sensation seeking, alcohol problems and bulimic symptoms: a community-based, longitudinal study.

PURPOSE: The association of bulimic symptoms with sensation seeking is uncertain; however, both behaviors have been linked to alcohol problems. We assessed in a longitudinal, community-based setting whether sensation seeking in adolescence is associated with bulimic symptoms in early adulthood, also accounting for alcohol problems. METHODS: Finnish men (N = 2000) and women (N = 2467) born between 1974-1979 completed Zuckerman's sensation seeking scale (SSS) at age 18. Alcohol problems (Malmö-modified Michigan alcoholism screening test (Mm-MAST) and bulimic symptoms [eating disorder inventory-2, bulimia subscale (EDI-Bulimia), population and clinical scoring systems] were defined at age 22-27. We examined relationships between SSS, Mm-MAST, and EDI-Bulimia using Pearson's correlation coefficient (r) and linear regression. RESULTS: Alcohol problems were moderately correlated with sensation seeking and bulimic symptoms (population scoring) among women and men (r = 0.21-0.31). The correlation between sensation seeking and bulimic symptoms (population scoring) was weak among men (r = 0.06, p = 0.006) and even weaker and non-significant among women (r = 0.03, p = 0.214). Adjustment for alcohol problems removed the association between sensation seeking and bulimic symptoms among men. Furthermore, there were no significant correlations between sensation seeking and bulimic symptoms when assessing EDI-Bulimia clinical scoring. CONCLUSION: Sensation seeking and bulimic symptoms were not associated among women. The association between sensation seeking and bulimic symptoms among men was entirely attributable to increased alcohol problems among those with higher sensation seeking. While this association may be important on the population level, its clinical significance may be minor. LEVEL OF EVIDENCE: Level III, well-designed cohort study.

General impulsivity in binge-eating disorder.

BACKGROUND: The nature and significance of impulse-control difficulties in binge-eating disorder (BED) are uncertain. Most emerging research has focused on food-specific rather than general impulsivity. The current study examines the clinical presentation of patients with BED categorized with and without clinical levels of general impulsivity. METHOD: A total of 343 consecutive treatment-seeking patients with BED were categorized as having BED with general impulsivity (GI+; N = 73) or BED without general impulsivity (GI-: N = 270) based on structured diagnostic and clinical interviews. The groups were compared on demographic, developmental, and psychological features, and on rates of psychiatric and personality comorbidity. RESULTS: Individuals with BED and general impulsivity (GI+) reported greater severity of eating-disorder psychopathology, greater depressive symptoms, and greater rates of comorbidity than those without general impulsivity (GI-). CONCLUSIONS: A subtype of individuals with BED and general impulsivity may signal a more severe presentation of BED characterized by heightened and broader psychopathology. Future work should investigate whether these impulse-control difficulties relate to treatment outcomes.

Increased emotional eating during COVID-19 associated with lockdown, psychological and social distress.

Due to the spread of COVID 2019, the Italian government imposed a lockdown on the national territory. Initially, citizens were required to stay at home and not to mix with others outside of their household (Phase 1); eventually, some of these restrictions were lifted (Phase 2). To investigate the impact of lockdown on emotional and binge eating, an online survey was conducted to compare measures of self-reported physical (BMI), psychological (Alexithymia), affective (anxiety, stress, and depression) and social (income, workload) state during Phase 1 and Phase 2. Data from 365 Italian residents showed that increased emotional eating was predicted by higher depression, anxiety, quality of personal relationships, and quality of life, while the increase of bingeing was predicted by higher stress. Moreover, we showed that higher alexithymia scores were associated by increased emotional eating and higher BMI scores were associated with both increased emotional eating and binge eating. Finally, we found that from Phase 1 to Phase 2 binge and emotional eating decreased. These data provide evidence of the negative effects of isolation and lockdown on emotional wellbeing, and, relatedly, on eating behaviour.

Binge eating and binge drinking behaviors: the role of family functioning.

Binge eating and binge drinking are two of the most common health-risk behaviors among young people showing to frequently co-occur in nonclinical samples of adolescent boys and girls. The present study examined the role of different dimensions of family functioning in binge behaviors among adolescents. One thousand and twenty young to late adolescents (507 girls and 517 boys) with ages ranging from 16 to 22 years participated in the study and completed a survey of self-report measures. Our findings showed that adolescents who binge eat and drink and adolescents who only binge eat perceived a lower quality of family functioning with lower levels of cohesion, flexibility, communication, satisfaction and higher degree of disengagement compared to adolescents who do not binge and adolescents who only binge drink. Only adolescents who engage in both binge behaviors reported higher levels of chaotic style compared to other binge groups. Furthermore, living in families poorly flexible, highly disengaged and with communication problems among members resulted as risk factors for binge eating behavior. Results suggest the importance for prevention programs to be based on an integrated approach focused on improving family environment such as the ability in changing family structure to deal effectively with developmental problems and defining clear home rules adolescents may stand on.