Low self-esteem and psychiatric patients: Part II - The relationship between self-esteem and demographic factors and psychosocial stressors in psychiatric patients

BACKGROUND: The objective of the present study was to identify the effects and relative importance of demographic factors and psychosocial stressors on self-esteem of psychiatric patients. METHOD: The present study was carried out on a consecutive sample of 1,190 individuals attending an open-access psychiatric outpatient clinic. Patients were diagnosed according to DSM III-R diagnostic criteria following detailed assessments. At screening, patients and controls completed two self-esteem questionnaires, the Rosenberg self-esteem scale and the Janis and Field Social Adequacy scale. In addition, a large amount of demographic and psychosocial data was collected on all patients. RESULTS: Significantly increased self-esteem was observed with an increase in age, educational achievement and income. Employed patients showed significantly higher self-esteem compared to unemployed patients. Female patients had a significantly lower self-esteem compared to male patients. The self-esteem of psychiatric patients did not vary significantly with their marital status. No relationship was detected between acute stressors and the self-esteem of psychiatric patients, although severe enduring stressors were associated with lower self-esteem in psychiatric patients. CONCLUSION: The results of this large study demonstrate that the self-esteem of adult psychiatric patients is affected by a number of demographic and psychosocial factors including age, sex, educational status, income, employment status, and enduring psychosocial stressors.     

Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank

BackgroundSleep problems are both symptoms of and modifiable risk factors for many psychiatric disorders. Wrist-worn accelerometers enable objective measurement of sleep at scale. Here, we aimed to examine the association of accelerometer-derived sleep measures with psychiatric diagnoses and polygenic risk scores in a large community-based cohort.Methods and findingsIn this post hoc cross-sectional analysis of the UK Biobank cohort, 10 interpretable sleep measures—bedtime, wake-up time, sleep duration, wake after sleep onset, sleep efficiency, number of awakenings, duration of longest sleep bout, number of naps, and variability in bedtime and sleep duration—were derived from 7-day accelerometry recordings across 89,205 participants (aged 43 to 79, 56% female, 97% self-reported white) taken between 2013 and 2015. These measures were examined for association with lifetime inpatient diagnoses of major depressive disorder, anxiety disorders, bipolar disorder/mania, and schizophrenia spectrum disorders from any time before the date of accelerometry, as well as polygenic risk scores for major depression, bipolar disorder, and schizophrenia. Covariates consisted of age and season at the time of the accelerometry recording, sex, Townsend deprivation index (an indicator of socioeconomic status), and the top 10 genotype principal components. We found that sleep pattern differences were ubiquitous across diagnoses: each diagnosis was associated with a median of 8.5 of the 10 accelerometer-derived sleep measures, with measures of sleep quality (for instance, sleep efficiency) generally more affected than mere sleep duration. Effect sizes were generally small: for instance, the largest magnitude effect size across the 4 diagnoses was β = −0.11 (95% confidence interval −0.13 to −0.10, p = 3 × 10⁻⁵⁶, FDR = 6 × 10⁻⁵⁵) for the association between lifetime inpatient major depressive disorder diagnosis and sleep efficiency. Associations largely replicated across ancestries and sexes, and accelerometry-derived measures were concordant with self-reported sleep properties. Limitations include the use of accelerometer-based sleep measurement and the time lag between psychiatric diagnoses and accelerometry.ConclusionsIn this study, we observed that sleep pattern differences are a transdiagnostic feature of individuals with lifetime mental illness, suggesting that they should be considered regardless of diagnosis. Accelerometry provides a scalable way to objectively measure sleep properties in psychiatric clinical research and practice, even across tens of thousands of individuals.

In a cross-sectional study, Michael Wainberg and colleagues investigate the association between accelerometer-derived sleep measures and lifetime psychiatric diagnoses.     

The psychiatric GWAS consortium: big science comes to psychiatry

The Psychiatric GWAS Consortium was founded with the aim of conducting statistically rigorous and comprehensive GWAS meta-analyses for five major psychiatric disorders: ADHD, autism, bipolar disorder, major depressive disorder, and schizophrenia. In the era of GWAS and high-throughput genomics, a major trend has been the emergence of collaborative, consortia approaches. Taking advantage of the scale that collaborative consortia approaches can bring to a problem, the PGC has been a major driver in psychiatric genetics and provides a model for how similar approaches may be applied to other disease communities.     

The nature of psychiatric disorders

A foundational question for the discipline of psychiatry is the nature of psychiatric disorders. What kinds of things are they? In this paper, I review and critique three major relevant theories: realism, pragmatism and constructivism. Realism assumes that the content of science is real and independent of human activities. I distinguish two “flavors” of realism: chemistry‐based, for which the paradigmatic example is elements of the periodic table, and biology‐based, for which the paradigm is species. The latter is a much better fit for psychiatry. Pragmatism articulates a sensible approach to psychiatric disorders just seeking categories that perform well in the world. But it makes no claim about the reality of those disorders. This is problematic, because we have a duty to advocate for our profession and our patients against other physicians who never doubt the reality of the disorders they treat. Constructivism has been associated with anti‐psychiatry activists, but we should admit that social forces play a role in the creation of our diagnoses, as they do in many sciences. However, truly socially constructed psychiatric disorders are rare. I then describe powerful arguments against a realist theory of psychiatric disorders. Because so many prior psychiatric diagnoses have been proposed and then abandoned, can we really claim that our current nosologies have it right? Much of our current nosology arose from a series of historical figures and events which could have gone differently. If we re‐run the tape of history over and over again, the DSM and ICD would not likely have the same categories on every iteration. Therefore, we should argue more confidently for the reality of broader constructs of psychiatric illness rather than our current diagnostic categories, which remain tentative. Finally, instead of thinking that our disorders are true because they correspond to clear entities in the world, we should consider a coherence theory of truth by which disorders become more true when they fit better into what else we know about the world. In our ongoing project to study and justify the nature of psychiatric disorders, we ought to be broadly pragmatic but not lose sight of an underlying commitment, despite the associated difficulties, to the reality of psychiatric illness.     

Substance use and other psychiatric disorders among 100 American Indian patients

One hundred American Indian patients with a Psychoactive Substance Use Disorder (PSUD) were studied with special reference to associated psychiatric disorders. This clinical sample was divided into three groups: PSUD only, PSUD plus an Organic Mental Disorder (OMD), and PSUD plus any other psychiatric disorder. OMD diagnoses included primarily Delirium Tremens and Alcoholic Hallucinosis; cases of Alcohol Amnestic Disorder, Alcohol Dementia, and trauma-induced OMD were also encountered. Other psychiatric disorders included primarily Major Depression and Anxiety Disorder, with smaller numbers of Schizophrenia, Conduct, Sexual, and other Disorders. Demographic and clinical characteristics were compared among these three groups. Those with PSUD + OMD tended to be older, male, and have more DSM-III Axis 3 disorders (American Psychiatric Association 1980) as compared to other patients; those with PSUD + other diagnoses tended to be single and younger. Education and occupational status were not related to the three diagnostic groups. The data were also subjected to MANOVA analysis. Even when corrected for sex, types of substance being abused, Axis 3 health status, and other factors, the three diagnostic groups still bore a significant relationship to age. Those with PSUD + Other psychiatric diagnoses besides OMD tended to be youngest. Those with PSUD-only were intermediate by age, while those with PSUD + OMD tended to be the oldest.     

ADHD in acute care psychiatric inpatients

Attention-deficit hyperactivity disorder (ADHD) is a neurocognitive disorder characterized by symptoms of inattention, impulsivity and motor hyperactivity. The worldwide prevalence of ADHD, in the general adult population, has been estimated to be 2.8%. Patients with ADHD have a high incidence of comorbidity with other psychiatric disorders. Those with a psychiatric disorder as well as ADHD have more psychosocial difficulties than those without ADHD. Despite knowing that ADHD is often comorbid with other psychiatric diagnoses, there are currently no studies elucidating the prevalence of ADHD in the inpatient psychiatric population, nor is there significant information about its impact. The lack of research into this topic suggests more needs to be done in the field of adult ADHD, especially in the inpatient psychiatric population and with respect to impairment in patient function. Knowing the prevalence of ADHD and its impact on quality of life in adult inpatients will help lay the groundwork for effective screening and management. The purpose of this study was to understand the prevalence rates of ADHD among psychiatric acute care inpatients. Other objectives included comparing the quality of life and functioning between patients with a primary psychiatric diagnosis and ADHD (treated or untreated) versus those with a primary psychiatric diagnosis and no ADHD. Thirty-three (N = 31) psychiatric inpatients were screened using the Adult ADHD Self-Report Scale. Those that screened positive for ADHD received a full diagnostic assessment for ADHD. All patients completed the Weiss Functional Impairment Rating Scale (WFIRS) to assess level of functioning and a Clinical Global Impression of Severity/Improvement Scale (on admission and discharge). Demographic information was also obtained. Of the 31 patients analyzed, 12 had a diagnosis of ADHD (36.4%). The participants diagnosed with ADHD scored significantly higher on the WFIRS, suggesting decreased functioning compared to patients without comorbid ADHD. Patients with ADHD also scored significantly higher in the individual domains of this rating scale, suggesting impairment in family, work and social functioning as well as decreased life-skills, poor self-concept and increased risk-taking behavior. In this sample, the prevalence of ADHD is significantly higher among acute care psychiatric inpatients than in the general population. Patients with concomitant ADHD suffer more functional impairment than those without. These findings merit further investigation into the value of routine screening and patient-specific treatment of ADHD in this patient population.     

Polygenic risk for psychiatric disorders correlates with executive function in typical development

Executive functions are a diverse and critical suite of cognitive abilities that are often disrupted in individuals with psychiatric disorders. Despite their moderate to high heritability, little is known about the molecular genetic factors that contribute to variability in executive functions and how these factors may be related to those that predispose to psychiatric disorders. We examined the relationship between polygenic risk scores built from large genome‐wide association studies of psychiatric disorders and executive functioning in typically developing children. In our discovery sample (N = 417), consistent with previous reports on general cognitive abilities, polygenic risk for autism spectrum disorder was associated with better performance on the Dimensional Change Card Sort test from the NIH Cognition Toolbox, with the largest effect in the youngest children. Polygenic risk for major depressive disorder was associated with poorer performance on the Flanker test in the same sample. This second association replicated for performance on the Penn Conditional Exclusion Test in an independent cohort (N = 3681). Our results suggest that the molecular genetic factors contributing to variability in executive function during typical development are at least partially overlapping with those associated with psychiatric disorders, although larger studies and further replication are needed.     

Relationships between substance abuse/dependence and psychiatric disorders based on polygenic scores

Genetic susceptibility to substance use disorders (SUDs) is partially shared between substances. Heritability of any substance dependence, estimated as 54%, is partly explained by additive effects of common variants. Comorbidity between SUDs and other psychiatric disorders is frequent. The present study aims to analyze the additive role of common variants in this comorbidity using polygenic scores (PGSs) based on genome‐wide association study discovery samples of schizophrenia (SCZ), bipolar disorder, attention‐deficit/hyperactivity disorder, autism spectrum disorder, major depressive disorder and anxiety disorders, available from large consortia. PGSs were calculated for 534 patients meeting DSM‐IV criteria for dependence of a substance and abuse/dependence of another substance between alcohol, tobacco, cannabis, cocaine, opiates, hypnotics, stimulants, hallucinogens and solvents; and 587 blood donors from the same population, Iberians from Galicia, as controls. Significance of the PGS and percentage of variance explained were calculated by logistic regression. Using discovery samples of similar size, significant associations with SUDs were detected for SCZ PGS. SCZ PGS explained more variance in SUDs than in most psychiatric disorders. Cross‐disorder PGS based on five psychiatric disorders was significant after adjustment for the effect of SCZ PGS. SCZ PGS was significantly higher in women than in men abusing alcohol. Our findings indicate that SUDs share genetic susceptibility with SCZ to a greater extent than with other psychiatric disorders, including externalizing disorders such as attention‐deficit/hyperactivity disorder. Women have lower probability to develop substance abuse/dependence than men at similar PGS probably because of a higher social pressure against excessive drug use in women.     

Forensic psychiatric evaluation of persons with posttraumatic stress disorder undergoing criminal trial

The aim of our study was to determine if there is a difference between the type of crime committed by persons diagnosed with posttraumatic stress disorder (PTSD) and that committed by other offenders. The study included 389 male patients at the Department of Forensic Psychiatry in Popovaca who underwent forensic psychiatric evaluation to establish a psychiatric diagnosis, evaluate the mental capacity, and provide advice on further treatment. The data on the number of individuals with PTSD vs. other psychiatric disorders and the data on family violence vs. other criminal acts were analyzed with chi2 test. Of a total of 389 forensically evaluated male patients, 45 (11.6%) suffered from PTSD. Study subjects with PTSD only or PTSD comorbid with the other psychiatric disorders committed family violence significantly more often than subjects diagnosed with the other psychiatric disorders chi2(1) = 40.092, P < 0.001. Subjects with PTSD, whether or not comorbid with the other psychiatric disorders, committed family violence significantly more often than subjects with other psychiatric diagnoses.     

Genetic architectures of psychiatric disorders: the emerging picture and its implications

Psychiatric disorders are among the most intractable enigmas in medicine. In the past 5 years, there has been unprecedented progress on the genetics of many of these conditions. In this Review, we discuss the genetics of nine cardinal psychiatric disorders (namely, Alzheimer's disease, attention-deficit hyperactivity disorder, alcohol dependence, anorexia nervosa, autism spectrum disorder, bipolar disorder, major depressive disorder, nicotine dependence and schizophrenia). Empirical approaches have yielded new hypotheses about aetiology and now provide data on the often debated genetic architectures of these conditions, which have implications for future research strategies. Further study using a balanced portfolio of methods to assess multiple forms of genetic variation is likely to yield many additional new findings.     

New insights from the last decade of research in psychiatric genetics: discoveries,challenges and clinical implications

Psychiatric genetics has made substantial progress in the last decade, providing new insights into the genetic etiology of psychiatric disorders, and paving the way for precision psychiatry, in which individual genetic profiles may be used to personalize risk assessment and inform clinical decision-making. Long recognized to be heritable, recent evidence shows that psychiatric disorders are influenced by thousands of genetic variants acting together. Most of these variants are commonly occurring, meaning that every individual has a genetic risk to each psychiatric disorder, from low to high. A series of large-scale genetic studies have discovered an increasing number of common and rare genetic variants robustly associated with major psychiatric disorders. The most convincing biological interpretation of the genetic findings implicates altered synaptic function in autism spectrum disorder and schizophrenia. However, the mechanistic understanding is still incomplete. In line with their extensive clinical and epidemiological overlap, psychiatric disorders appear to exist on genetic continua and share a large degree of genetic risk with one another. This provides further support to the notion that current psychiatric diagnoses do not represent distinct pathogenic entities, which may inform ongoing attempts to reconceptualize psychiatric nosology. Psychiatric disorders also share genetic influences with a range of behavioral and somatic traits and diseases, including brain structures, cognitive function, immunological phenotypes and cardiovascular disease, suggesting shared genetic etiology of potential clinical importance. Current polygenic risk score tools, which predict individual genetic susceptibility to illness, do not yet provide clinically actionable information. However, their precision is likely to improve in the coming years, and they may eventually become part of clinical practice, stressing the need to educate clinicians and patients about their potential use and misuse. This review discusses key recent insights from psychiatric genetics and their possible clinical applications, and suggests future directions.     

An evaluation of the multidisciplinary approach to psychiatric diagnosis in elderly people.

OBJECTIVE--To determine the accuracy of psychiatric diagnoses made by two community psychogeriatric teams operating a multidisciplinary assessment procedure. DESIGN--Comparison of team diagnosis with independent formal assessment and consensus diagnosis by research psychiatrists. SETTING--Two community psychogeriatric teams with similar operational policies in an inner London health district. SUBJECTS--100 people aged 65-90 (70 women) newly referred to the teams. MAIN OUTCOME MEASURES--Concordance between team and research diagnoses. RESULTS--Agreement between team and research diagnoses ranged from 90% to 99% for the specific psychiatric disorders studied. There was no significant difference between medical and non-medical team members in their diagnostic performance compared with the research psychiatrists. Increased diagnostic accuracy by team members was associated with longer experience of team working, regardless of the team members'' professional background. CONCLUSIONS--The multidisciplinary approach to the assessment of referrals to these community teams for the elderly is not associated with misdiagnosis of psychiatric disorder.     

Analysis of TBX1 variation in patients with psychotic and affective disorders

A significant portion of patients with 22q11 deletion syndrome (22q11DS) develop psychiatric disorders, including schizophrenia and other psychotic and affective symptoms, and the responsible gene/s are assumed to also play a significant role in the etiology of nonsyndromic psychiatric disease. The most common psychiatric diagnosis among patients with 22q11DS is schizophrenia, thought to result from neurotransmitter imbalances and also from disturbed brain development. Several genes in the 22q11 region with known or suspected roles in neurotransmitter metabolism have been analyzed in patients with isolated schizophrenia; however, their contribution to the disease remains controversial. Haploinsufficiency of the TBX1 gene has been shown to be sufficient to cause the core physical malformations associated with 22q11DS in mice and humans and via abnormal brain development could contribute to 22q11DS-related and isolated psychiatric disease. 22q11DS populations also have increased rates of psychiatric conditions other than schizophrenia, including mood disorders. We therefore analyzed variations at the TBX1 locus in a cohort of 446 white patients with psychiatric disorders relevant to 22q11DS and 436 ethnically matched controls. The main diagnoses included schizophrenia (n = 226), schizoaffective disorder (n = 67), bipolar disorder (n = 82), and major depressive disorder (n = 29). We genotyped nine tag SNPs in this sample but did not observe significant differences in allele or haplotype frequencies in any of the analyzed groups (all affected, schizophrenia and schizoaffective disorder, schizophrenia alone, and bipolar disorder and major depressive disorder) compared with the control group. Based on these results we conclude that TBX1 variation does not make a strong contribution to the genetic etiology of nonsyndromic forms of psychiatric disorders commonly seen in patients with 22q11DS.     

Surviving social assistance: 12-month prevalence of depression in sole-support parents receiving social assistance

BACKGROUND: Although it is generally recognized that poverty and depression can coexist among single parents receiving social assistance, there is insufficient research on this topic. The goals of this study therefore were to investigate the prevalence, correlates and health care expenditures associated with depression among sole-support parents receiving social assistance. METHODS: Sole-support parents who had applied for social assistance in 2 regions of southwestern Ontario were included in the study. Depression was diagnosed with the 1994 University of Michigan Composite International Diagnostic Interview short forms. RESULTS: The 12-month prevalence rate of depressive disorder among the parents interviewed was 45.4% (345/760). A total of 247 (32.5%) had major depressive disorder alone, 19 (2.5%) had dysthymia, and 79 (10.4%) had both major depressive disorder and dysthymia ("double depression"). Those with major depressive disorder, particularly double depression, had significantly higher rates of coexisting psychiatric disorder than those without depressive disorders. Parents with depression reported higher rates of developmental delay and behaviour problems in their children than parents without depression. Expenditures for health care services were higher for parents with depression and for their children than for parents without depressive disorder and their children. INTERPRETATION: Single parents receiving social assistance have high rates of depression. Such parents with depression also have higher rates of other psychiatric disorders and higher expenditures for health care services, and their children have higher rates of developmental delay and behaviour problems.     

Effects of interleukin-1beta polymorphisms on brain function and behavior in healthy and psychiatric disease conditions

A high level of Interleukin-1beta (IL1B), a key mediator of inflammation, is expressed in the brain, particularly in the hippocampus, which plays a pivotal role in memory and mood regulation. In the brain, IL1B exerts a myriad of effects such as neuronal proliferation, differentiation, apoptosis, and long-term potentiation. Considering its pleiotropic effects in the brain, IL1B has been implicated in the pathogenesis of various psychiatric disorders as well as cognitive function in normal individuals. Thus, IL1B has been considered a candidate gene for the study of psychiatric diseases as well as brain function in normal individuals. The polymorphisms of IL1B have been described in relation to various expression levels in response to stimulation. This review describes previous studies on the genetic effects of IL1B, which relate it to psychiatric diseases such as major depressive disorder, bipolar disorder, schizophrenia, and Alzheimer’s disease, as well as cognitive function in normal individuals. Although many reports have indicated a possible role of the genetic effects of IL1B or its phenotypes in psychiatric diseases, some reports were unable to confirm these findings. IL1B release is mediated by an inflammatory response or psychological stress, leading to a cascade of immune reactions involving numerous immune components. To further explore the genetic effects of IL1B on mental diseases and brain function, gene–gene and gene–environment interactions should also be considered.     

Proteomic analysis of the anterior cingulate cortex in the major psychiatric disorders: Evidence for disease-associated changes

Abnormalities of the anterior cingulate cortex have previously been described in schizophrenia, major depressive disorder and bipolar disorder. In this study 2-DE was performed followed by mass spectrometric sequencing to identify disease-specific protein changes within the anterior cingulate cortex in these psychiatric disorders. The 2-DE system comprised IPGs 4-7 and 6-9 in the first, IEF dimension and SDS-PAGE in the second dimension. Resultant protein spots were compared between control and disease groups. Statistical analysis indicated that 35 spots were differentially expressed in one or more groups. Proteins comprising 26 of these spots were identified by mass spectroscopy. These represented 19 distinct proteins; aconitate hydratase, malate dehydrogenase, fructose bisphosphate aldolase A, ATP synthase, succinyl CoA ketoacid transferase, carbonic anhydrase, alpha- and beta-tubulin, dihydropyrimidinase-related protein-1 and -2, neuronal protein 25, trypsin precursor, glutamate dehydrogenase, glutamine synthetase, sorcin, vacuolar ATPase, creatine kinase, albumin and guanine nucleotide binding protein beta subunit. All but three of these proteins have previously been associated with the major psychiatric disorders. These findings provide support for the view that cytoskeletal and mitochondrial dysfunction are important components of the neuropathology of the major psychiatric disorders.     

Predicting loneliness with polygenic scores of social,psychological and psychiatric traits

Loneliness is a heritable trait that accompanies multiple disorders. The association between loneliness and mental health indices may partly be due to inherited biological factors. We constructed polygenic scores for 27 traits related to behavior, cognition and mental health and tested their prediction for self‐reported loneliness in a population‐based sample of 8798 Dutch individuals. Polygenic scores for major depressive disorder (MDD), schizophrenia and bipolar disorder were significantly associated with loneliness. Of the Big Five personality dimensions, polygenic scores for neuroticism and conscientiousness also significantly predicted loneliness, as did the polygenic scores for subjective well‐being, tiredness and self‐rated health. When including all polygenic scores simultaneously into one model, only 2 major depression polygenic scores remained as significant predictors of loneliness. When controlling only for these 2 MDD polygenic scores, only neuroticism and schizophrenia remain significant. The total variation explained by all polygenic scores collectively was 1.7%. The association between the propensity to feel lonely and the susceptibility to psychiatric disorders thus pointed to a shared genetic etiology. The predictive power of polygenic scores will increase as the power of the genome‐wide association studies on which they are based increases and may lead to clinically useful polygenic scores that can inform on the genetic predisposition to loneliness and mental health.     

Relationships of Psychiatric Disorders with Overweight and Obesity in an Adult General Population**

Objective: To explore relationships of smoking and risk drinking status, nicotine and alcohol dependence, and anxiety, depressive, and somatoform disorders with overweight and obesity. Research Methods and Procedures: A probability sample was drawn that was representative for the adult general population, 18 to 64 years of age, in one region of Germany; the participation rate was 70.2%. After excluding those who were pregnant or had a current eating disorder according to the DSM‐IV, 4063 individuals remained. Overweight and obesity were defined according to the BMI that was assessed in the face‐to‐face in‐home standardized interview (Composite International Diagnostic Interview) on psychiatric disorders. Results: Men with a former nicotine dependence had higher odds of being overweight than men who never had a nicotine dependence (adjusted odds ratio, 1.5; confidence interval, 1.1 to 2.1). Men at current risk for drinking and current alcohol‐dependent or abusing men had lower odds of being overweight compared with men who never were alcohol dependent, abusing, or at risk for drinking (adjusted odds ratio, 0.3; confidence interval, 0.8 to 0.9). Effect sizes were small. No relationship of overweight with depressive, anxiety, or somatoform disorders was found in the multivariate analysis. Discussion: There is a relationship between being overweight and nicotine and alcohol dependence or abuse among men but not among women. Even though one reason for women to refrain from quitting smoking is the fear of weight gain, these results do not support this. This information could help convince women to try to quit smoking.     

Autistic-Like Traits in Adult Patients with Mood Disorders and Schizophrenia

Autism spectrum disorder often co-occurs with other psychiatric disorders. Although a high prevalence of autistic-like traits/symptoms has been identified in the pediatric psychiatric population of normal intelligence, there are no reports from adult psychiatric population. This study examined whether there is a greater prevalence of autistic-like traits/symptoms in patients with adult-onset psychiatric disorders such as major depressive disorder (MDD), bipolar disorder, or schizophrenia, and whether such an association is independent of symptom severity. The subjects were 290 adults of normal intelligence between 25 and 59 years of age (MDD, n=125; bipolar disorder, n=56; schizophrenia, n=44; healthy controls, n=65). Autistic-like traits/symptoms were measured using the Social Responsiveness Scale for Adults. Symptom severity was measured using the Positive and Negative Symptoms Scale, the Hamilton Depression Rating Scale, and/or the Young Mania Rating Scale. Almost half of the clinical subjects, except those with remitted MDD, exhibited autistic-like traits/symptoms at levels typical for sub-threshold or threshold autism spectrum disorder. Furthermore, the proportion of psychiatric patients that demonstrated high autistic-like traits/symptoms was significantly greater than that of healthy controls, and not different between that of remitted or unremitted subjects with bipolar disorder or schizophrenia. On the other hand, remitted subjects with MDD did not differ from healthy controls with regard to the prevalence or degree of high autistic-like traits/symptoms. A substantial proportion of adults with bipolar disorder and schizophrenia showed high autistic-like traits/symptoms independent of symptom severity, suggesting a shared pathophysiology among autism spectrum disorder and these psychiatric disorders. Conversely, autistic-like traits among subjects with MDD were associated with the depressive symptom severity. These findings suggest the importance of evaluating autistic-like traits/symptoms underlying adult-onset psychiatric disorders for the best-suited treatment. Further studies with a prospective design and larger samples are needed.     

Measurement of global self-esteem in dementia. Reliability and validity of Brinkman's self-esteem scale

In a person-centered approach to dementia-care, the self-concept of people suffering from dementia receives more and more attention. There is, however, a lack of direct measures of self-esteem, which is the evaluative component of the self-concept. An 8-item scale to tap global self-esteem was administered to 245 consecutive visitors of a psychogeriatric day care centre. Mokken scale analysis revealed a scalability coefficient of H = 0.44, which is in the medium range. The item responses were explained by a double monotonicity model, allowing for a reliable ordering of subjects and items on the latent trait 'self-esteem'. One-week test-retest reliability on the self-esteem scale was 0.68. Scalability and reliability were about equal across subgroups differing in severity of dementia. Patients were asked to give themselves a rating (1-10) for their estimated sense of self-worth. These ratings correlated 0.55 with scores on the self-esteem scale. Self-esteem was negatively related to measures of depression, fatigue and loneliness, but not to the level of cognitive impairment of the patient. As an independent measure of subjective well-being, self-esteem deserves particular attention in the assessment and treatment of dementia patients.