The effect of obesity management on body image in patients seeking treatment at medical centers

Objective: Body image dissatisfaction is common in treatment‐seeking patients with obesity. We aimed to investigate the effects of obesity management on body image in patients with obesity attending Italian medical centers for weight loss programs. Research Methods and Procedures: A total of 473 obese patients seeking treatment in 13 Italian medical centers (80% females; age, 45.9 ± standard deviation 11.0 years; BMI, 36.8 ± 5.7 kg/m²) were evaluated at baseline and after a 6‐month weight loss treatment. Body uneasiness, psychiatric distress, and binge eating were tested by Body Uneasiness Test (BUT, Part A), Symptom CheckList‐90 (SCL‐90), and Binge Eating Scale (BES), respectively. Results: At 6‐month follow‐up, the percentage weight loss was significantly higher in men (9.0 ± 6.3%) than in women (6.8 ± 7.3%; p = 0.010). Both men and women had a significant improvement in BUT Global Severity Index and in all of the BUT subscales with the exception of the Compulsive Self‐Monitoring subscale. Linear regression analysis selected baseline psychological and behavioral measures (global score of BUT and SCL‐90) and improved psychiatric distress and binge eating as independent predictors of changes in basal body dissatisfaction in females, whereas in males, changes were associated only with baseline BUT‐Global Severity Index score, binge eating, and its treatment‐associated improvement. Pre‐treatment BMI and BMI changes did not enter the regression. Discussion: Obesity treatment, even with a modest degree of weight loss, is associated with a significant improvement of body image, in both females and males. This effect depends mainly on psychological factors, not on the amount of weight loss.     

Disgust: the disease-avoidance emotion and its dysfunctions

This review analyses the accumulating evidence from psychological, psychophysiological, neurobiological and cognitive studies suggesting that the disease-avoidance emotion of disgust is a predominant emotion experienced in a number of psychopathologies. Current evidence suggests that disgust is significantly related to small animal phobias (particularly spider phobia), blood-injection-injury phobia and obsessive-compulsive disorder contamination fears, and these are all disorders that have primary disgust elicitors as a significant component of their psychopathology. Disgust propensity and sensitivity are also significantly associated with measures of a number of other psychopathologies, including eating disorders, sexual dysfunctions, hypochondriasis, height phobia, claustrophobia, separation anxiety, agoraphobia and symptoms of schizophrenia--even though many of these psychopathologies do not share the disease-avoidance functionality that characterizes disgust. There is accumulating evidence that disgust does represent an important vulnerability factor for many of these psychopathologies, but when disgust-relevant psychopathologies do meet the criteria required for clinical diagnosis, they are characterized by significant levels of both disgust and fear/anxiety. Finally, it has been argued that disgust may also facilitate anxiety and distress across a broad range of psychopathologies through its involvement in more complex human emotions such as shame and guilt, and through its effect as a negative affect emotion generating threat-interpretation biases.     

Genomic survey of prepulse inhibition in mouse chromosome substitution strains

Prepulse inhibition (PPI) is a measure of sensorimotor gating, a pre-attentional inhibitory brain mechanism that filters extraneous stimuli. Prepulse inhibition is correlated with measures of cognition and executive functioning, and is considered an endophenotype of schizophrenia and other psychiatric illnesses in which patients show PPI impairments. As a first step toward identifying genes that regulate PPI, we performed a quantitative trait locus (QTL) screen of PPI phenotypes in a panel of mouse chromosome substitution strains (CSSs). We identified five CSSs with altered PPI compared with the host C57BL/6J strain: CSS-4 exhibited decreased PPI, whereas CSS-10, -11, -16 and -Y exhibited higher PPI compared with C57BL/6J. These data indicate that A/J chromosomes 4, 10, 11, 16 and Y harbor at least one QTL region that modulates PPI in these CSSs. Quantitative trait loci for the acoustic startle response were identified on seven chromosomes. Like PPI, habituation of the startle response is also disrupted in schizophrenia, and in the present study CSS-7 and -8 exhibited deficits in startle habituation. Linkage analysis of an F₂ intercross identified a highly significant QTL for PPI on chromosome 11 between positions 101.5 and 114.4 Mb (peak LOD = 4.54). Future studies will map the specific genes contributing to these QTLs using congenic strains and other genomic approaches. Identification of genes that modulate PPI will provide insight into the neural mechanisms underlying sensorimotor gating, as well as the psychopathology of disorders characterized by gating deficits.     

Psychopathology in 7‐year‐old children with familial high risk of developing schizophrenia spectrum psychosis or bipolar disorder – The Danish High Risk and Resilience Study ‐ VIA 7, a population‐based cohort study

This study aimed to compare the psychopathological profiles of children at familial high risk of schizophrenia spectrum psychosis (FHR‐SZ) or bipolar disorder (FHR‐BP) with population‐based controls. We used Danish nationwide registers to retrieve a cohort of 522 seven‐year‐old children of parents with schizophrenia spectrum psychosis (N=202), bipolar disorder (N=120) or none of these disorders (N=200). Psychopathology was assessed by reports from multiple informants, including children, parents and teachers. Lifetime DSM‐IV diagnoses were ascertained by blinded raters through the Schedule for Affective Disorders and Schizophrenia for School‐Age Children. The dimensional assessment of psychopathology was performed by the Child Behavior Checklist, the Teacher's Report Form, a modified version of the ADHD‐Rating Scale, the Test Observation Form, and the State‐Trait Anxiety Inventory for Children. Current level of functioning was evaluated using the Children's Global Assessment Scale (CGAS). The prevalence of lifetime psychiatric diagnoses was significantly higher in both FHR‐SZ children (38.7%, odds ratio, OR=3.5, 95% confidence interval, CI: 2.2‐5.7, p < 0.001) and FHR‐BP children (35.6%, OR=3.1, 95% CI: 1.8‐5.3, p < 0.001) compared with controls (15.2%). FHR‐SZ children displayed significantly more dimensional psychopathology on all scales and subscales compared with controls except for the Anxious subscale of the Test Observation Form. FHR‐BP children showed higher levels of dimensional psychopathology on several scales and subscales compared with controls, but lower levels compared with FHR‐SZ children. Level of functioning was lower in both FHR‐SZ children (CGAS mean score = 68.2; 95% CI: 66.3‐70.2, p < 0.0001) and FHR‐BP children (73.7; 95% CI: 71.2‐76.3, p < 0.05) compared with controls (77.9; 95% CI: 75.9‐79.9). In conclusion, already at the age of seven, FHR‐SZ and FHR‐BP children show a higher prevalence of a broad spectrum of categorical and dimensional psychopathology compared with controls. These results emphasize the need for developing early intervention strategies towards this vulnerable group of children.     

Trait–state interactions in the etiology of nightmares.

Various personality and psychopathology traits are associated with nightmare frequency. This study investigated whether trait variables might also account for individual differences in the longitudinal relationship between daily mood and nightmare incidence each night. Forty-two participants (35 women, 7 men; mean age = 40.10 years) reported having nightmares at least once per month and completed a 14-day dream and mood (anxiety and depression) log. Within-subject correlations between state anxiety and nightmare incidence or absence the following night and between state depression and nightmare incidence or absence were computed. None of the trait measures had significant correlations with these within-subject correlations. However, when only participants scoring above the group median on Hartman’s thin boundariness were analyzed, thin boundariness, Symptom Checklist—Global Severity, adverse life events, and childhood adversity were associated with the incidence of nightmares as a function of state anxiety or depression on a night-by-night basis, with correlation coefficients between .43 and .52. This supports the hypothesis of trait predispositions for a nightmare reaction to daily state anxiety or depression. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Binge eating disorder and night eating syndrome in adults with type 2 diabetes

Objective: To determine the prevalence of binge eating disorder (BED) and night eating syndrome (NES) among applicants to the Look AHEAD (Action for Health in Diabetes) study. Research Methods and Procedures: The Eating Disorders Examination–Questionnaire (EDE‐Q) and the Night Eating Questionnaire (NEQ) were used to screen patients. Phone interviews were conducted using the EDE for those who reported at least eight episodes of objective binge eating in the past month and using the Night Eating Syndrome History and Interview for those who scored ≥25 on the NEQ. Recruitment at four sites (Birmingham, n = 200; Houston, n = 259; Minneapolis, n = 182; and Philadelphia, n = 204) yielded 845 participants (58% women; mean age = 60.1 ± 6.7 years; mean BMI = 36.2 ± 6.3 kg/m²). Results: Screening scores were met by 47 (5.6%) applicants on the EDE‐Q and 71 (8.4%) on the NEQ. Of the 85% (40/47) who completed the EDE interview, 12 were diagnosed with BED, representing 1.4% of the total sample. Of the 72% (51/71) who completed the Night Eating Syndrome History and Interview, 32 were diagnosed with NES, equal to 3.8% of the total sample. Three participants had both BED and NES. Participants with eating disorders were younger, heavier, and reported more eating pathology than those without eating disorders. Discussion: Among obese adults with type 2 diabetes, NES was reported more frequently than BED, which, in turn, was less common than expected.     

Hierarchical models of psychopathology: empirical support,implications, and remaining issues

There is an ongoing revolution in psychology and psychiatry that will likely change how we conceptualize, study and treat psychological problems.­ Many theorists now support viewing psychopathology as consisting of continuous dimensions rather than discrete diagnostic categories. Indeed, recent papers have proposed comprehensive taxonomies of psychopathology dimensions to replace the DSM and ICD taxonomies of categories. The proposed dimensional taxonomies, which portray psychopathology as hierarchically organized correlated dimensions, are now well supported at phenotypic levels. Multiple studies show that both a general factor of psychopathology at the top of the hierarchy and specific factors at lower levels predict different functional outcomes. Our analyses of data on a large representative sample of child and adolescent twins suggested the causal hypothesis that phenotypic correlations among dimensions of psychopathology are the result of many familial influences being pleiotropic. That is, most genetic variants and shared environmental factors are hypothesized to non‐specifically influence risk for multiple rather than individual dimensions of psychopathology. In contrast, person‐specific experiences tend to be related to individual dimensions. This hierarchical causal hypothesis has been supported by both large‐scale family and molecular genetic studies. Current research focuses on three issues. First, the field has not settled on a preferred statistical model for studying the hierarchy of causes and phenotypes. Second, in spite of encouraging progress, the neurobiological correlates of the hierarchy of dimensions of psychopathology are only partially described. Third, although there are potentially important clinical implications of the hierarchical model, insufficient research has been conducted to date to rec­ommend evidence‐based clinical practices.     

Gender Differences in the Relationship between Personality Dimensions and Relative Body Weight

Objective: The relationship between body mass index (BMI: kg/m²) and personality seems to differ for men and women, although these effects may be driven by the extremes of the BMI distribution. It is unclear whether these associations exist for most individuals in the relatively normal range of BMI scores, excluding the thinnest and heaviest extremes in the population. We tested the association of BMI with neuroticism, extraversion, and psychoticism with a trimmed BMI sample. Research Methods and Procedures: Using a cross‐sectional design, we tested the association of BMI with the aforementioned psychological variables in a British population‐based sample. Participants were 7889 adult men and women (30 to 50 years old) selectively sampled from four counties in west England. Participants reported their height and weight and completed the Eysenck Personality Inventory (EPQ). We tested the association of BMI with the EPQ subscales among individuals with BMI ≥19.16 kg/m² and ≤37.78 kg/m², i.e., the approximate 5th and 95th percentiles. Results: Despite elimination of extreme BMIs, different associations between BMI and EPQ subscales emerged for men and women. Among women, increasing BMI was significantly associated with increased neuroticism and reduced extraversion. Among men, increasing BMI was associated with increased extraversion and psychoticism. In all cases, the magnitude of the association was very small. Discussion: Increasing BMI was associated with potentially poorer adjustment among women but better adjustment among men. These findings are consistent with recent reports and, taken together, suggest that these patterns are not accounted for solely by the extremes of the BMI distribution.     

Are Obese Adolescents and Young Adults at Higher Risk for Mental Disorders? A Community Survey

Objective: Associations between body mass index (BMI) and mental disorders meeting Axis-I diagnoses according to the Diagnostic and Statistical Manual for Mental Disorders IV (DSM-IV) were investigated in The Early Developmental Stages of Psychopathology Study in a large population-based sample, which included adolescents and young adults of both genders for the first time. Research Methods and Procedures: A total of 3021 German subjects ranging from 14 to 24 years of age were assessed for specific DSM-IV diagnoses derived from a modified version of the standardized Composite International Diagnostic Interview, and general psychological disturbances, using the Symptom Checklist-90-Revised. BMI percentiles for age and gender were calculated to avoid systematic bias in the BMI distribution resulting from the young age range represented in the sample. Additionally, subjects with a lifetime diagnosis of any eating disorder were excluded from statistical analysis to control the confounding effect of body weight-related eating disorders on associations between BMI and psychopathology. Results: The results based on logistic regression analyses and MANOVAs demonstrate that the BMI is not associated with mental disorders or general psychopathologies. There were no significant associations between BMI and mood, anxiety, substance, and somatoform disorders, a result that contrasts with almost all previous clinical studies. Additionally, in contrast to clinical investigations and most epidemiological studies, neither obesity nor underweight was significantly associated with any kind of general psychopathology. Discussion: The overall finding that obesity is not significantly related to marked psychopathology in the general German population of adolescents and young adults has important clinical implications.     

Chronotype,gender and general health

Background: Light–dark alternation has always been the strongest external circadian “zeitgeber” for humans. Due to its growing technological preference, our society is quickly transforming toward a progressive “eveningness” (E), with consequences on personal circadian preference (chronotype), depending on gender as well. The aim of this study was to review the available evidence of possible relationships between chronotype and gender, with relevance on disturbances that could negatively impact general health, including daily life aspects. Methods: Electronic searches of the published literature were performed in the databases MEDLINE and Web of Science, by using the Medical Subject Heading (MeSH), when available, or other specific keywords. Results: Results were grouped into four general areas, i.e. (a) “General and Cardiovascular Issues”, (b) “Psychological and Psychopathological Issues”, (c) “Sleep and Sleep-Related Issues” and (d) “School and School-Related Issues”. (a) E is associated with unhealthy and dietary habits, smoking and alcohol drinking (in younger subjects) and, in adults, with diabetes and metabolic syndrome; (b) E is associated with impulsivity and anger, depression, anxiety disorders and nightmares (especially in women), risk taking behavior, use of alcohol, coffee and stimulants, psychopathology and personality traits; (c) E has been associated, especially in young subjects, with later bedtime and wake-up time, irregular sleep–wake schedule, subjective poor sleep, school performance and motivation, health-related quality of life; (d) E was associated with lowest mood and lower overall grade point average (especially for women). Conclusions: Eveningness may impact general health, either physical or mental, sleep, school results and achievements, especially in younger age and in women. The role of family support is crucial, and parents should be deeply informed that abuse of technological devices during night hours may lead to the immature adjustment function of children’s endogenous circadian pacemakers.