Search Results (58)

Background/Objectives: Obesity results from the complex interplay of biological, psychological, and sociocultural factors. Psychiatric comorbidities and maladaptive eating attitudes are possible contributors to this complexity. Despite accumulating research, current treatment approaches often fail to achieve lasting success, possibly due to the tendency to approach obesity as a uniform condition despite its heterogeneity. This study aimed to identify distinct subgroups of adults with obesity based on their eating behaviors, psychopathology, and food addiction (FA). Methods: The study included 202 adults seeking obesity treatment at Ankara Dışkapı Training and Research Hospital, Turkey. Participants completed the Three Factor Eating Questionnaire-R18, Yale Food Addiction Scale, Night Eating Questionnaire, and Symptom Checklist-90-R (SCL-90-R). Psychiatric diagnoses were confirmed through clinician-administered semi-structured interviews (SCID-5-CV). Two-step cluster analysis was performed using z-standardized variables of eating and psychopathology measures. Subsequent comparisons were conducted between the identified subgroups. Results: Two distinct clusters were identified and described in terms of adaptive and maladaptive eating traits: an Adaptive group (n = 92, 45.5%) and a Maladaptive group (n = 110, 54.5%). The Maladaptive cluster exhibited higher levels of emotional eating, uncontrolled eating, night eating, FA, and general psychopathology (all p < 0.001), along with a greater prevalence of major depressive disorder and binge eating disorder. Conclusions: Our findings indicate that psychopathology and maladaptive eating behaviors meaningfully distinguish two obesity phenotypes. Nearly half of individuals with obesity, characterized by maladaptive eating traits, FA, or elevated psychopathology, may constitute a subgroup that would particularly benefit from psychoeducation or targeted psychiatric intervention. Full article

To evaluate the consumption of ultra-processed foods (UPFs), culinary abilities, and food addiction (FA) in adults after different periods since bariatric and metabolic surgery, this cross-sectional study recruited and collected data via social media from adults who underwent metabolic and bariatric surgery. The Brazil Food and Nutritional Surveillance System markers of dietary consumption and the NOVA-UPF screener assessed dietary patterns and UPF consumption, the modified Yale Food Addiction Scale 2.0 assessed FA, and the Cooking Skills Index (CSI) assessed culinary abilities. 1525 participants were included, with a mean age of 38 ± 8 years and a mean time since surgery of 37 ± 54 months. Individuals with longer postoperative time showed a higher NOVA-UPF score and higher consumption of hamburgers/sausages, sweetened beverages, and instant noodles (p < 0.01 for all), without a corresponding decrease in fresh fruit and vegetable consumption. Each year since surgery increased NOVA-UPF score by 0.67 [CI95%: 0.57; 0.76] points. CSI showed no association with time (−0.41; [CI95%: −1.33; 0.50]), while FA prevalence was lowest at 48 months and increased thereafter (p < 0.01). FA prevalence initially decreased up to 4 years post-surgery, followed by a partial increase beyond 4 years, although remaining below levels observed within the first 6 months. Time since surgery is associated with higher UPF consumption and a non-linear trajectory of FA prevalence, but not with culinary abilities. Full article

Food addiction is characterized by compulsive consumption and impaired control over highly palatable foods, with neurobiological mechanisms analogous to substance use disorders. The Yale Food Addiction Scale 2.0 (YFAS 2.0) is the most widely used instrument to assess these symptoms; however, its psychometric properties have not been validated in Mexican adults. This study aimed to perform the cross-cultural adaptation of the YFAS 2.0 and validate its psychometric properties for the identification of food addiction in the Mexican adult population. A cross-sectional study was conducted in 500 Mexican adults aged 20 years or older. Participants completed the cross-culturally adapted YFAS 2.0. Exploratory and hierarchical factor analyses were conducted. Reliability was assessed using Cronbach’s alpha and omega coefficients, and model fit was evaluated through global fit indices. The scale showed high internal consistency (α = 0.88; ωt = 0.87; ωh = 0.89). The Kaiser–Meyer–Olkin index was 0.815 and Bartlett’s test was significant (χ² = 4367.88; df = 595; p < 0.001). Exploratory factor analysis supported a unidimensional structure, with the first factor explaining 21.3% of the total variance. In the hierarchical model, all items loaded substantially onto the general factor. Fit indices indicated excellent model fit (CFI = 0.99; TLI = 0.98; RMSEA = 0.001; RMR = 0.004). The YFAS 2.0 is a valid and reliable instrument for identifying food addiction symptoms in Mexican adults. It may be useful in clinical practice and research on eating disorders. Full article

Food addiction (FA) is an emerging psychiatric condition that presents behavioral and neurobiological similarities with other addictions, and its early identification is essential to prevent the development of more severe disorders. The aim of the present study was to determine the ability of anthropometric measures, eating habits, symptoms related to eating disorders (ED), and lifestyle features to predict the symptoms of food addiction. Methodology: A cross-sectional study was conducted in a sample of 702 university students (77.3% women; age: 22 ± 6 years). The Food Frequency Questionnaire (FFQ), the Yale Food Addiction Scale 2.0 (YFAS 2.0), the Eating Attitudes Test (EAT-26), anthropometric measurements, and a set of self-report questions on substance use, physical activity level, and other questions were administered. A total of 6.4% of participants presented symptoms compatible with food addiction, and 8.1% were at risk for ED. Additionally, 26.5% reported daily smoking, 70.6% consumed alcohol, 2.9% used illicit drugs, and 29.4% took medication; 35.3% did not engage in physical activity. Individuals with food addiction had higher BMI (p = 0.010), waist circumference (p = 0.001), and body fat (p < 0.001) values, and a higher risk of eating disorders (p = 0.010) compared to those without this condition. In the multivariate logistic model, non-dairy beverage consumption (such as coffee or alcohol), vitamin D deficiency, and waist circumference predicted food addiction symptoms (R²_Nagelkerke = 0.349). Indeed, the machine learning approaches confirmed the influence of these variables. Conclusions: The prediction models allowed an accurate prediction of FA in the university students; moreover, the individualized approach improved the identification of people with FA, involving complex dimensions of eating behavior, body composition, and potential nutritional deficits not previously studied. Full article

Background: Food addiction (FA) is an emerging construct that mirrors the behavioral and neurobiological characteristics of substance use disorders. Despite growing interest, its association with specific psychiatric disorders among bariatric patients remains understudied. Objective: Our aim was to examine the prevalence and strength of associations between FA and seven major psychiatric disorders in individuals who underwent bariatric surgery. Methods: In a sample of 100 post-bariatric patients referred for psychiatric evaluation, FA was assessed using the modified Yale Food Addiction Scale 2.0 (mYFAS 2.0), and psychiatric disorders were diagnosed using the Mini International Neuropsychiatric Interview (MINI). Logistic regression models were used to estimate adjusted odds ratios (aORs) for the association between FA and each psychiatric disorder, controlling for sex, age, body mass index (BMI), employment status, the number of children, clinical comorbidities, physical activity, family psychiatric history, and region of residence. Results: FA was present in 51% of the sample. Descriptive analyses revealed a significantly higher prevalence of major depressive disorder, panic disorder, generalized anxiety disorder, social anxiety disorder, agoraphobia, obsessive–compulsive disorder, and bulimia nervosa among individuals with FA. Multivariate models showed robust associations between FA and bulimia nervosa (aOR = 19.42, p < 0.05), generalized anxiety disorder (aOR = 2.88, p < 0.05), obsessive–compulsive disorder (aOR = 6.64, p < 0.05), agoraphobia (aOR = 3.14, p < 0.05), social anxiety disorder (aOR = 4.28, p < 0.05) and major depressive disorder (aOR = 2.79, p < 0.05). Conclusions: FA is strongly associated with a range of psychiatric comorbidities in post-bariatric patients, reinforcing the need for comprehensive mental health screening in this population. These findings underscore the potential role of FA as a clinical marker for stratified risk assessment, supporting more personalized approaches to mental health monitoring and intervention following bariatric surgery. Full article

Background: Food addiction (FA) is prevalent among individuals with severe obesity and has been associated with poorer weight loss (WL) outcomes after dietary interventions. However, its long-term impact after bariatric surgery (BS) remains unclear. Objective: This study aimed to evaluate the effect of preoperative FA on WL and weight regain (WR) three years after different BS techniques. Methods: An ambispective study was conducted in 165 patients undergoing BS (41.1% sleeve gastrectomy [SG], 13.3% Roux-en-Y gastric bypass [RYGB], and 45.6% hypoabsorptive procedures [HA]). FA was assessed preoperatively using the Yale Food Addiction Scale 2.0. WL outcomes were evaluated at 1 and 3 years postoperatively. Mixed-effects models were used to assess longitudinal changes, adjusted for baseline weight, sex, type 2 diabetes (T2D), and height. Results: FA was present in 17.6% of patients. At 3 years, total WL was lower in FA patients compared to those without FA (−27.1% vs. −31.0%; p = 0.023), driven by greater WR from nadir (+8.3% vs. +1.7%; p = 0.03). The effect was particularly pronounced after RYGB and HA, but not after SG. Nevertheless, a substantial proportion of FA patients (58%) were no longer classified as having obesity at 3 years. The presence of FA was not associated with insufficient WL or lower T2D remission rates. Mixed models confirmed a significant interaction between FA and time, indicating a trend toward reduced WL over time in FA patients. Conclusions: Preoperative FA was not associated with a reduced likelihood of achieving satisfactory WL following BS. Our data does not support the use of preoperative FA as a decisive factor in guiding the choice of BS type. Although FA was associated with increased WR over time, clinically meaningful WL was achieved in most patients. Long-term multidisciplinary follow-up remains essential in this subgroup. Full article

Background: The rising consumption of ultra-processed foods, especially those high in added sugars, poses a growing public health concern. Although several tools exist to assess food addiction, there is a lack of validated instruments specifically designed to measure addiction-like behaviors related to sweet food intake. Objectives: This study evaluates the psychometric properties of the FitMIND Foundation Sweets Addiction Scale (FFSAS), adapted from the Yale Food Addiction Scale 2.0 (YFAS 2.0), using data from Polish adults recruited through the FitMIND Foundation. Methods: The FFSAS was evaluated by 11 expert judges on four criteria: clarity, content validity, linguistic appropriateness, and construct representativeness. Afterwards, 344 adult volunteers (mean age 40.6 ± 10.7 years, 78% female, mean body mass index (BMI) 27.86 kg/m²) completed online FFSAS and provided demographic data, BMI, and self-reported sweets consumption. Internal consistency was assessed with Cronbach’s alpha and external validity was examined through Spearman’s correlations. Moreover, we conducted Exploratory and Confirmatory Factor Analyses (EFA and CFA). Results: Content validity of the FFSAS was supported by expert validation. The scale demonstrated good overall internal consistency (α = 0.85), with specific criteria such as tolerance (α = 0.916) and withdrawal (α = 0.914) showing particularly high reliability. The FFSAS total score was moderately correlated with sweets consumption frequency (ρ = 0.39, p < 0.05) and feelings of guilt (ρ = 0.35, p < 0.05). Exploratory factor analysis (EFA) revealed a robust three-factor structure, explaining 68.6% of the variance; the individual factors (subscales) derived from this structure demonstrated excellent internal consistency (Cronbach’s α ranging from 0.951 to 0.962). Sampling adequacy was high based on Kaiser–Meyer–Olkin measure (KMO = 0.956). Confirmatory factor analysis (CFA) indicated suboptimal model fit (Comparative Fit Index (CFI) = 0.74, Tucker–Lewis Index (TLI) = 0.69, Root Mean Square Error of Approximation (RMSEA) = 0.14), with a significant chi-square test (χ² = 3761.76, p < 0.001). Conclusions: This pilot study demonstrated that the FFSAS may be a promising tool for assessing sweet food addiction in adults. Future research should focus on assessing the FFSAS’ suitability on more diverse populations in other countries for further validation. Full article

Background/Objectives: Recently, interest in studying food addiction (FA) in the context of behavioral addictions (BAs) has increased. However, research remains limited to determine the FA prevalence among various BAs. The current study aimed to investigate FA in a clinical sample of patients seeking treatment for gaming disorder, compulsive buying-shopping disorder (CBSD), compulsive sexual behavior disorder, and the comorbid presence of multiple BAs, as well as to determine the sociodemographic characteristics, personality traits, and general psychopathology of this clinical population. In addition, we analyzed whether FA is linked to a higher mean body mass index (BMI). Methods: The sample included 209 patients (135 men and 74 women) attending a specialized behavioral addiction unit. The assessment included a semi-structured clinical interview for the diagnosis of the abovementioned BAs, in addition to self-reported psychometric assessments for FA (using the Yale Food Addiction Scale 2. 0, YFAS-2), CBSD (using the Pathological Buying Screener, PBS), general psychopathology (using the Symptom Checklist-Revised, SCL-90-R), personality traits (using the Temperament and Character Inventory-Revised, TCI-R), emotional regulation (using Difficulties in Emotion Regulation Strategies, DERS), and impulsivity (using Impulsive Behavior Scale, UPPS-P). The comparison between the groups for the clinical profile was performed using logistic regression (categorical variables) and analysis of covariance (ANCOVA), adjusted based on the patients’ gender. The sociodemographic profile was based on chi-square tests for categorical variables and analysis of variance (ANOVA) for quantitative measures. Results: The prevalence of FA in the total sample was 22.49%. The highest prevalence of FA was observed in CBSD (31.3%), followed by gaming disorder (24.7%), and the comorbid presence of multiple BAs (14.3%). No group differences (FA+/−) were found in relation to sociodemographic variables, but the comorbidity between FA and any BA was associated more with females as well as having greater general psychopathology, greater emotional dysregulation, higher levels of impulsivity, and a higher mean BMI. Conclusions: The comorbidity between FA and BA is high compared to previous studies (22.49%), and it is also associated with greater severity and dysfunctionality. Emotional distress levels were high, which suggests that the group with this comorbidity may be employing FA behaviors to cope with psychological distress. However, a better understanding of the latent mechanisms that contribute to the progression of this multifaceted comorbid clinical disorder is needed. One aspect that future studies could consider is to explore the existence of FA symptoms early and routinely in patients with BAs. Full article

Background and Objectives: Added sugar usage has become an important public health issue nowadays. Therefore, the interest in studying the cognitive and emotional effects associated with sugar consumption has increased. The present study aimed to investigate how the intake of added sugar affects participants’ impulsivity and cognitive functions monitored during the performance of a computerized Go/NoGo task. Materials and Methods: This study included 20 subjects (10 men and 10 women). Quantitative data for this study were collected via self-report questionnaires, including demographics, the Dietary Fat and Free Sugar—Short Questionnaire (DFS), the Yale Food Addiction Scale (YFAS 2.0), and the Barratt impulsiveness scale-11 (BIS-11). Results: Event-related potentials (ERPs) were registered throughout this study. Comparing the results of psychophysiological and neuropsychological evaluations before and after the added sugar consumption reveals differences in ERPs. Specifically, the NoGo-P3 amplitude increased after the intake of added sugar. However, there were no behavioral differences between the two experimental sessions. Conclusions: Overall, the results of our study suggest that added sugar intake was associated with stronger neuronal firing in NoGo trials. One possible explanation for this could be the need for more cognitive endeavors for participants to successfully inhibit their response impulses after added sugar consumption. Full article

Background: Stroke ranks as the second leading cause of death and the third leading cause of disability in adults worldwide. While an unhealthy diet is an independent risk factor for stroke, its association with disordered eating behaviours on stroke remains overlooked. This exploratory study aimed to evaluate the prevalence and severity of addictive-like eating behaviours in stroke patients and their association with the main vascular stroke risk factors. Methods: First-ever minor or moderate stroke patients with the ability to complete self-report questionnaires were included. Addictive-like eating was assessed using the Yale Food Addiction Scale 2.0 (YFAS 2.0). The variables of interest were: (i) the proportion of patients meeting the diagnosis of food addiction (FA); (ii) FA symptoms count and severity; (iii) addictive-like eating profile severity. Their association with four main vascular risk factors (obesity, hypertension, dyslipidemia and diabetes) were tested using univariate and multivariate analyses. Results: Over a 4-month period, 101 patients (mean (standard deviation (SD)), 62.8 (13.7) years; males: 60.4%) were consecutively screened with the YFAS 2.0. Overall, 5% of the sample endorsed an FA diagnosis, and 38.6% screened positive for at least one of the symptom criteria, with the most frequently endorsed symptom being “Inability to cut down”. Dyslipidemia was the only vascular risk factor associated with the FA diagnosis (p = 0.043, 95% CI [−0.21; 0.01]). However, the severity of the addictive profile was associated with dyslipidemia (p = 0.016, 95% CI [−2.16; −0.21]) and diabetes (p = 0.038, 95% CI [−1.77; 0.25]), but only independently with dyslipidemia (p = 0.05; OR = 1.25; 95% CI [1.00; 1.56]). There were significant associations between the number of vascular risk factors and the severity of Time spent, Tolerance, and Use despite adverse consequences of FA symptoms, both in univariate and multivariate analyses (all p < 0.05). The number of vascular risk factors and total number of FA symptoms were significantly associated in univariate analyses (p = 0.007) but not after adjusting for age (p = 0.055) or sex (p = 0.083). Conclusions: This study highlighted the potential importance of addictive-like behaviours in the secondary prevention of stroke. However, larger and longer-term studies investigating addictive-like eating in diverse samples of stroke patients are warranted to achieve precision medicine. Full article

Objective: The aim of this study was to explore the factorial structure, psychometric properties and association with anthropometric and clinical variables of the Modified Yale Addiction Scale 2.0 (mYFAS 2.0) in a Spanish university population. Methods: A cross-sectional study of n = 270 university students in Spain was conducted. Variables measured: mYFAS 2.0, Emotional Eater Questionnaire (EEQ), Alcohol Use Disorder Identification Test (AUDIT), Pittsburg Sleep Quality index (PSQI) and Perceived Stress Scale (PSS). In mYFAS 2.0 were performed an Exploratory Factor Analysis (EFA), an Unweight Least Square (ULS), a model fit using comparative fit index (CFI) and nomological validity. Results: EFA revealed that a two-factor structure is the most appropriate in a non-clinical population of Spanish university students. The factors accounted for 18.54% and 16.33% of the variance, and the correlation between them was moderate—0.487 (p < 0.001). This different structure from that reported in the original scale could be derived from the cultural characteristics and intrinsic eating habits of the study population. The correlation matrix reported an inverse association of mYFAS 2.0 with Body Mass Index (BMI). In addition, participants with a BMI below 25 showed a higher mYFAS 2.0 and EEQ score. Conclusions: These results suggest some changes in the psychometric assessment structure of the mYFAS 2.0 in a non-clinical population of university students, as well as the usefulness of this questionnaire to identify individuals with an adequate BMI but with compensatory behaviours that predispose to different eating disorders. Full article

Objective: Increasing the awareness of adolescents about hedonic hunger, understanding the difference between homeostatic hunger and hedonic hunger, and adolescents learning to control themselves to stop excessive food consumption are extremely important for a healthy adulthood. The study aimed to evaluate the effects of the multi-strategy nutrition education programs (MSNEP) on hedonic hunger, food addiction, nutrition literacy, and nutritional status in adolescents. Methods: This study was planned using a pre-test and post-test design. The MSNEP was conducted with 132 adolescents (11–15 years; 69 boys, 63 girls) for 4 weeks (45 min–1 h/session). Data were obtained using questionnaires with face-to-face interviews at pre-education (baseline) and post-education (week 4 and week 8). The survey form included sociodemographic information, nine item short version of Children’s Power of Food Scale (C-PFS-9), the Yale Food Addiction Scale for Children 2.0 (YFAS-C 2.0), the Adolescent Nutrition Literacy Scale (ANLS), anthropometric measurements, and 24-hour dietary recall. Results: A decrease in C-PFS-9 total scores was found compared to the baseline (p < 0.001). While the YFAS-C 2.0 score decreased in boys compared to the baseline (p < 0.05), no significant difference was found in girls (p > 0.05). A difference was found in the ANLS scores for girls (p = 0.01), but no difference was found in the scores for boys during the study (p > 0.05). At week 4, the consumption of dairy products, legumes, vegetables and fruits, bread and grains, nuts, and hard-shelled seeds increased compared to the baseline (p < 0.05). Also, daily protein and fiber intake increased (p < 0.05). Accordingly, a higher YFAS-C 2.0 score predicted greater hedonic hunger. A lower ANLS score was a predictor for higher food taste and food available scores. Conclusions: In conclusion, the MSNEP was found to have positive effects on hedonic hunger, food addiction, nutritional literacy, and healthy eating behaviors. The study revealed differences between girls and boys. In order to maintain healthy body weights in adolescents, it is recommended that the MSNEP be provided in schools. Full article

Food addiction (FA) and binge eating disorder (BED) co-occur and share compulsive eating symptoms. When using an FA measure, it is important to evaluate its performance in a population presenting compulsive eating. The study aims to validate the Addiction-like Eating Behavior Scale (AEBS) among a clinical sample characterized by compulsive eating and overweight/obesity and to evaluate its incremental validity over the Yale Food Addiction Scale 2.0 (YFAS). Patients seeking help for compulsive eating (n = 220), between January 2020 and July 2023, completed online questionnaires, including FA, compulsive eating, and BMI evaluations. The factor structure, internal consistency, and convergent, divergent, and incremental validity were tested. The sample had a mean age of 44.4 years old (SD = 12.7) and a mean BMI of 38.2 (SD = 8.0). The two-factor structure provided a good fit for the data, with factor loadings from 0.55 to 0.82 (except for item 15) and the internal consistency was high (ω = 0.84–0.89). The AEBS was positively correlated with the YFAS (r = 0.66), binge eating (r = 0.67), grazing (r = 0.47), craving (r = 0.74), and BMI (r = 0.26), and negatively correlated with dietary restraint (r = −0.37), supporting good convergent and divergent validity. For each measure of compulsive eating, linear regression showed that the AEBS “appetite drive” subscale had a unique contribution over the YFAS. This study provided evidence that the AEBS is a valid measure among a clinical sample of patients with compulsive eating and overweight/obesity. However, questions remain as to whether the AEBS is a measure of FA or compulsive eating. Full article

The dimensional Yale Food Addiction Scale for Children 2.0 (dYFAS-C 2.0) was developed to provide a reliable psychometric measure for assessing food addiction in adolescents, in accordance with the updated addiction criteria proposed in the fifth edition of the Diagnostic and Statistical Manual (DSM-5). The present study aimed to evaluate the psychometric properties of the dYFAS-C 2.0 among Portuguese adolescents and pre-adolescents and to explore the relationship between food addiction and other eating behaviors such as grazing and intuitive eating. The participants were 131 Portuguese adolescents and pre-adolescents (53.4% female and 46.6% male) aged between 10 and 15 years (M_age = 11.8) and with a BMI between 11.3 and 35.3 (M_{BMI z-score} = 0.42). Confirmatory Factor Analysis demonstrated an adequate fit for the original one-factor model (χ² (104) = 182; p < 0.001; CFI = 0.97; TLI = 0.97; NFI = 0.94; SRMR = 0.101; RMSEA = 0.074; 95% CI [0.056; 0.091]). Food addiction was positively correlated with higher grazing (r = 0.69, p < 0.001) and negatively correlated with lower reliance on hunger/satiety cues (r = −0.22, p = 0.015). No significant association was found between food addiction and BMI z-score, or between food addiction and age. The results support the use of dYFAS-C 2.0 as a valid and reliable measure for assessing food addiction in Portuguese adolescents and pre-adolescents. Furthermore, the findings highlight that food addiction may be part of a spectrum of disordered eating behaviors associated with control impairment. Future research with a larger sample size could further elucidate the associations between food addiction and other variables, such as psychological distress and multi-impulsive spectrum behaviors. Full article

Food addiction, or ultra-processed food addiction (UPFA), has emerged as a reliable and validated clinical entity that is especially common in individuals seeking treatment for eating disorders (EDs), substance use disorders (SUDs) and co-occurring psychiatric disorders (including mood, anxiety and trauma-related disorders). The clinical science of UPFA has relied on the development and proven reliability of the Yale Food Addiction Scale (YFAS), or subsequent versions, e.g., the modified YFAS 2.0 (mYFAS2.0), as well as neurobiological advances in understanding hedonic eating. Despite its emergence as a valid and reliable clinical entity with important clinical implications, the best treatment approaches remain elusive. To address this gap, we have developed and described a standardized assessment and treatment protocol for patients being treated in a residential program serving patients with psychiatric multi-morbidity. Patients who meet mYFAS2.0 criteria are offered one of three possible approaches: (1) treatment as usual (TAU), using standard ED treatment dietary approaches; (2) harm reduction (HR), offering support in decreasing consumption of all UPFs or particular identified UPFs; and (3) abstinence-based (AB), offering support in abstaining completely from UPFs or particular UPFs. Changes in mYFAS2.0 scores and other clinical measures of common psychiatric comorbidities are compared between admission and discharge. Full article