Psychiatrike = Psychiatriki最新文献

Type 2 diabetes mellitus (T2DM) is a common metabolic disorder with various medical and psychological adverse effects. Well-being in patients with T2DM is often compromised. The aim of the present study was to investigate clinicodemographic predictors of well-being in patients with T2DM with no known psychiatric history and explore the mediatory role of undiagnosed anxiety and depression. We recruited 175 outpatients with T2DM (54.3% males, aged 34-79 (mean 59.9) years) followed-up at the Diabetes Center of the General Hospital of Nikaia-Peiraeus in Athens. Patients included had no severe diabetes-related complications or known psychiatric history. Well-being was measured with the Mental Health Continuum Short-Form (MHC-SF), a novel 14-item tool measuring the emotional (EWB), social (SWB) and psychological (PWB) dimensions of well-being, as well as a total score of well-being (WBT). Hospital Anxiety and Depression Scale (HADS) was used for screening for undiagnosed anxiety (HADS-A) and depression (HADS-D). Patients' demographics, Body Mass Index (BMI), glycemic control (HbA1c), T2DM duration, comorbid hypertension or dyslipidemia and type of antidiabetic medication were investigated as predictors of well-being or its dimensions in stepwise linear regression models, also including or excluding HADS-A and HADS-D. Mediational effects of HADS-A and HADS-D were explored in structural equation models through path analyses. Results showed that 21.1% of participants had comorbid depression (HADS-D≥11) and 5.1% comorbid anxiety disorder (HADS-A≥11). In the models without HADS, higher WBT as well as EWB and PWB were significantly predicted by lower HbA1c (all p=0.001) and lower BMI (p=0.015, 0.019 and 0.030, respectively). After being included in the model, HADS-A and HADS-D significantly predicted WBT and every dimension of well-being, but the effects of HbA1c and BMI were no longer statistically significant. In path analyses, the indirect effects of HbA1c and BMI on well-being via HADS-D were statistically significant, while the direct and indirect effects via HADS-A were not. Therefore, the effects of HbA1c and BMI on EWB, PWB and WBT were completely mediated by HADS-D. Concludingly, this is the first study using MHC-SF to measure well-being in patients with T2DM. High levels of undiagnosed depression were recorded, in agreement with other studies. Depression was predicted by HbA1c and BMI and finally predicted well-being. Undiagnosed depression fully explained the effects of HbA1c and BMI on well-being. The interplay of glycemic control and positive mental health should be further investigated.

Type 1 Diabetes Mellitus (T1D) is one of the most common chronic diseases affecting children and adolescents. The daily management of T1D requires continuous insulin therapy, as well as the inevitable adjustment of daily activities according to glycaemic control, both of which may result in experiencing T1D related stigma. A significant proportion of people with T1D have been shown to experience social discrimination and stigma, which can lead to emotional distress and act as a barrier to help-seeking behavior. This study presents the psychometric properties of the Greek translation of the Diabetes Stigma Assessment Scale-1 (DSAS-1), which assesses self-perceived stigma in people with T1D. A sample of 105 adults with T1D, mostly females (70.5%), with a mean age of 34.3 years (±11.1), and mean disease duration of 19.4 years (±10.5), completed the translated in Greek DSAS-1 (DSAS-1-Gr). Exploratory and confirmatory factor analyses were used to investigate the construct validity of the scale. In line with the original version, the results of the present study supported the three-factor model of the scale 'identity concerns', 'different treatment', 'blame and judgment'. The internal consistency indices (Cronbach alpha) of the three subscales were above α=.80 and .88 for the whole scale. Moderate correlations were found between the DSAS-1-Gr and the Diabetes Distress scale for type 1 Diabetes (T1-DDS), the Rosenberg self-esteem scale, and the DASS-21 subscales (depression, anxiety, and stress), which is indicative of convergent validity. DSAS-1-Gr correlated negatively with the diabetes duration (in years), which was indicative of discriminant validity. Finally, females presented higher total DSAS-1-Gr score than males. DSAS-1-Gr is a valid and reliable tool to be used in clinical practice to assess stigma in Greek people with T1D.

We read with interest the recent report on the definition, diagnosis, and clinical implications of religious delusions (RD).1 In our sample of 929 delusional schizophrenia patients who had been admitted to two psychiatric hospitals in Germany between 2010 and 2014, 138 patients (15%) reported RD. In 569 cases, information on religious affiliation was available. Patients with religious affiliation did not differ from patients without religious affiliation in the frequency of RD [χ2(1,569)= 0.02, p= 0.885]. Furthermore, patients with RD did not differ from patients with other types of delusion (OD) in the duration of hospitalisation [t(924)= -0.39, p= 0.695], or the number of hospitalisations [t(927)= -0.92, p= 0.358]. Additionally, in 185 cases, information on Clinical Global Impressions (CGI) and Global Assessment of Functioning (GAF) was available at the beginning and end of the hospital stay. By CGI-scores, no difference was seen in morbidity of subjects with RD relative to subjects with OD on admission [t(183)= -0.78, p= 0.437] and discharge t(183)= -1.10, p= .273 . Likewise, GAF-scores on admission did not differ in these groups [t(183)= 1.50, p= 0.135]. However, a trend was noted for lower GAF-scores on discharge in subjects with RD [t(183)= 1.91, p= .057, d= 0.39, CI 95% (-0.12-0.78)]. While RD have often been associated with a poorer prognosis in schizophrenia,2,3 we argue that this need not apply to all domains. Mohr et al4 reported that patients with RD were less likely to maintain psychiatric treatment, but did not have a more severe clinical status than patients with OD. Iyassu et al5 found higher levels of positive, but also lower levels of negative symptoms in patients with RD compared to patients with OD. Groups did not differ in terms of length of illness or level of medication. Siddle et al6 reported higher symptom scores in patients with RD at their first presentation, but a similar response to treatment when compared to patients with OD after 4 weeks of treatment. Furthermore, Ellersgaard et al7 iindicated that first-episode psychosis patients with RD at baseline were more likely to be non-delusional at follow-ups conducted after years 1, 2 and 5 when compared to patients with OD at baseline. We conclude that RD may thus interfere with short-term clinical outcome. With regard to long-term effects more favourable observations exist8 and the interplay of psychotic delusions with non-psychotic beliefs still warrants further research.

In March 2020, the World Health Organization declared the spread of COVID-19 as a global pandemic, and youth worldwide were suddenly confronted with unprecedented consequences. The first line of concern was related to the direct effect of SARS-CoV-2 viral infection. While severe physical health symptomatology including death following infection was found to be less common in children than in adults,1 long-COVID has been identified in the pediatric population with the most prevalent manifestations involving mood symptoms, sleep difficulties, and fatigue.2 Secondly, the measures against COVID-19 carried their own set of risks. Many governments imposed national lockdowns, schools closed, remote learning started operating and social distancing measures prevented families from visiting public places or meeting people from other households. Isolation, disruption of everyday routines, and a sharp and dramatic decrease in physical activity and social interaction levels became the new reality experienced by children and adolescents of all age groups.3 Cross-sectional community studies on children and adolescents conducted early in the course of the pandemic indicated elevated levels of loneliness, anxiety, and behavioral problems in youth samples, even during the initial phases of the outbreak.4 Systematic reviews of mainly cross-sectional studies that followed indicated a significant rise in clinically significant anxiety and depression symptoms among children and adolescents compared to pre-pandemic levels5 and high prevalence estimates for depression, anxiety, posttraumatic stress symptomatology, and sleep disorders.6 A recent systematic review that included data from 55,000 children and adolescents from many countries of the world (mean age 11.3 years) reported that anxiety (range = 1.8–49.5%), depression (range = 2.2– 63.8%), irritability (range = 16.7–73.2%) and anger (range = 30.0–51.3%) were frequently reported by children and adolescents during the pandemic.7However, the experience of the pandemic was not homogenous among all youth. Possible risk factors included the presence of mental health problems before the pandemic, excessive exposure to media, and high COVID-19 caseload in the community, while the presence of any kind of family routines and good parent-child communication were identified as protective factors.7 Females and older adolescents were also reported to be at greater risk for adverse mental health outcomes. In most countries, the spread of the infection, on one hand, and the enforcement of lockdowns and other containment measures, on the other, have put health care under tremendous pressure, leaving families with children with mental health disorders with minimal or inadequate support. Nevertheless, differences were also observed within the group of children with psychiatric or developmental disorders diagnosed before the pandemic. Numerous studies that have investigated the impact of the COVID-19 pandemic and related cont

The COVID-19 pandemic has caused a mental health crisis. The purpose of this study was to estimate the prevalence of depression in medical students in Greece during a nationwide lockdown. The secondary aims were to assess the association of depression with socio-demographic factors and students' attitudes regarding the quality of their studies. The data was gathered anonymously through a self-administered online questionnaire between January 11 and 27, 2021. The CES-D scale was used to measure depression rates. Multiple logistic regression was used to identify factors independently associated with depression. Analyses were conducted using Stata version 16.0 and the IBM® SPSS® software. In total, 978 sixth- and fifth-year medical students participated; their mean age was 23.2 years and 65.6% were females. The prevalence of clinical depression was 21.3% (95% CI: 18.7%, 24.0%), whereas 17.9% (95% CI: 15.5%, 20.4%) experienced severe distress. Depression was more prevalent in females (25.4% vs 13.1% in males, p<0.001). Approximately half (53.4%) of the participants reported a change in plans regarding their medical career due to the pandemic and 16.9% expressed a decreased willingness to practice medicine. Factors independently associated with depression were female gender, living alone or with housemates at high risk for COVID-19, being anxious about becoming infected with SARS-CoV-2, studying in one of the three largest medical schools, negatively evaluating the adjustment of the teaching personnel to online teaching and the university's response to the pandemic. The findings of this study report depression in one out of five medical students during the COVID-19 pandemic, highlighting the need to protect the most vulnerable medical students during a pandemic. Medical students must be able to seek professional mental health services, even in the era of a pandemic. Universities should increase accessibility to support services and provide a student-centered approach in their strategies, as the pandemic has placed a spotlight on an existing phenomenon.

According to schema theory, early maladaptive schemas (EMS) contribute to the onset and development of psychopathology. Given that research on EMS in children is limited, the contribution of the present study is that it investigates the role of EMS in psychopathology in children living in residential care. Participants of the present study were children who lived in residential care and were referred for assessment to the Day Center "The House of the Child" run by the Organisation "The Smile of the Child". The study sample comprised of 75 children (35 boys, 40 girls), mean age 12.7 years old. The Greek version of the Achenbach Child Behavior Checklist was completed by the child's caregiver, whereas the Greek version of the Schema Questionnaire for Children was administered to children. The research questions were explored by implementing both variable-focused (multiple regression) as well as person-focused (cluster analysis) techniques. The Confirmatory Factor Analysis conducted in the Schema Questionnaire for Children showed acceptable goodness of fit indices. The Vulnerability schema was found to be the highest scoring schema. Social isolation was a strong predictor for most indicators of psychopathology (internalizing and externalizing). Strong predictor for the Symptoms of Withdrawal, Anxiety/Depression, Social Problems and Thought Problems was the EMS of Failure. Hierarchical cluster analysis on schemas revealed two strong clusters, one with low scores and one with high scores in most EMS. In the cluster with high levels of EMS, Emotional deprivation, Failure, Defectiveness, Social isolation and Abandonment showed the highest scores. In this cluster, children presented statistically significant burdened indicators in externalizing psychopathology. Our hypotheses that EMS and, especially, schemas related to the domains of Disconnection/Rejection and Impaired Autonomy/Performance would be predictive indicators of psychopathology were confirmed. Cluster analysis confirmed the above findings and highlighted the role of schemas Emotional deprivation and Defectiveness in the emergence of psychopathology symptoms. The results of the current study highlight the importance of assessing EMS in children who live in residential care and could inform the development of appropriate intervention programs in this population to prevent the establishment of psychopathology.

Few studies in the literature have examined the effect of meteorological factors, especially temperature, on psychiatric hospitalization and even less on their association with involuntary admission. This study aimed to investigate the potential association of meteorological factors with the involuntary psychiatric hospitalization in the region of Attica, Greece. The research was conducted at the Psychiatric Hospital of Attica "Dafni". This was a retrospective time series study of 8 consecutive years of data (2010 to 2017) and included 6887 involuntarily hospitalized patients. Data on daily meteorological parameters were provided from the National Observatory of Athens. Statistical analysis was based on Poisson or negative binomial regression models with adjusted standard errors. Analyses were initially based on univariable models for each meteorological factor separately. All meteorological factors were taken into account through factor analysis and then, through cluster analysis, an objective grouping of days with similar weather type was performed. The resulting types of days were examined for their effect on the daily number of involuntary hospitalizations. Increases in maximum temperature, in average wind speed and in minimum atmospheric pressure values were associated with an increase in the average number of involuntary hospitalizations per day. Increase of the maximum temperature above 23 °C at lag 6 days before admission did not affect significantly the frequency of involuntary hospitalizations. Low temperature and average relative humidity above 60% levels had a protective effect. The predominant day type at lag 1 to 5 days before admission showed the strongest correlation with the daily number of involuntary hospitalizations. The cold season day type, with lower temperatures and a small diurnal temperature range, northerly winds of moderate speed, high atmospheric pressure and almost no precipitation, was associated with the lowest frequency of involuntary hospitalizations, whereas the warm season day type, with low daily temperature and small daily temperature range during the warm season, high values of relative humidity and daily precipitation, moderate wind speed/gust and atmospheric pressure, was associated with the highest. As climate change increases the frequency of extreme weather events, it is necessary to develop a different organizational and administrative culture of mental health services.

The proportional contribution of mental disorders to the total disease burden in India has almost doubled since 1990. Stigma and discrimination are major barriers to seeking treatment for persons with mental illness (PMI). Stigma reduction strategies are thus crucial, and for this, there needs to be an understanding of the various factors associated with them. The current study intended to assess stigma and discrimination in PMI visiting the department of psychiatry in a teaching hospital in Southern India and their association with various clinical and sociodemographic factors in them. The index study was a descriptive cross-sectional study involving consenting adults who presented to the department of psychiatry with mental disorders from August 2013 to January 2014. Socio-demographic and clinical data were collected using a semi-structured proforma, and the Discrimination and Stigma Scale (DISC-12) was used to assess discrimination and stigma. Most of PMI suffered from bipolar disorder, followed by depression, schizophrenia, and other disorders, such as obsessive-compulsive disorder, somatoform disorder, and substance use disorder. Discrimination was experienced by 56% of them and 46% had stigmatizing experiences. Both discrimination and stigma were found to be significantly associated with their age, gender, education, occupation, place of residence, and illness duration. While PMI suffering from depression experienced the highest discrimination, those with schizophrenia faced the stronger stigma. Binary logistic regression revealed depression, family history of psychiatric illness, age of less than 45 years, and rural locality of residence to be the significant determinants of discrimination and stigma. The study thus found that stigma and discrimination were associated with multiple social, demographic, and clinical factors in PMI. A rights-based approach to PMI is the need of the hour to tackle stigma and discrimination, which is already included in recent Indian acts and statutes. Implementation of these approaches is the need of the hour.

Since the COVID-19 pandemic outburst, numerous studies have reported on the holistic approach of the disease, which has negative consequences on physical and mental health as well as short- and long-term effects on cognition, independently of age. The context of the pandemic brought significant demands on public health systems, leading to restrictive measures against coronavirus expansion (quarantines, physical distancing policies, etc.). Such measures are reported to increase perceived loneliness and helplessness and may exacerbate feelings of emotional distress.1 Elderly diagnosed with neurocognitive disorders, i.e., mild cognitive impairment (MCI) or dementia, may present multifaceted cognitive deficits accompanied by neuropsychiatric symptoms, medical comorbidities, and high mortality rates. Furthermore, elderly with MCI/dementia are more vulnerable to SARS-COV-2 infection and disease complications due to decreased compliance with protective measures and multimorbidity. Simultaneously, limited access to health care services, distancing from their loved ones, abrupt changes in their daily routines or cancellation of daycare programs may make them more susceptible to pandemic secondary effects. According to the World Health Organization about 55 million people live with dementia globally. Dementia diagnosis was reported as an independent risk factor for increased mortality rate among the elderly infected with SARS-COV-2.2 Cross-sectional studies conducted all over Europe reported increased cognitive deterioration rate in patients with MCI and dementia during lockdown compared to the pre-lockdown period, as well as among dementia patients infected with COVID-19 compared to those not infected.3 Exacerbation of pre-existing sleep/appetite dysregulation and aberrant motor behavior, worsened symptoms of apathy, depression, and agitation, a rise in delirium episodes and disease-related falls and onset of behavioral symptoms during quarantine occurred.4 Also, patients living alone expressed excessive worrying and an overall decline in well-being. However, results from a large cohort study conducted in England failed to distinguish COVID-19 effects on dementia patients' psychological state between 2018 and 2020, possibly due to the small number of dementia patients recruited and disease severity.5 Among the Greek elderly, dementia prevalence rates range between 5-10.8% and 32.4% for MCI incidence.6,7 Only a few studies have investigated the impact of COVID-19 quarantine on mental and psychological health of the Greek elderly diagnosed with cognitive disorders. A longitudinal study was conducted between 2018 and 2020 including a rather large number of elderly people with MCI or Alzheimer's disease (AD). The authors compared the objectively assessed deterioration difference pre- and during the quarantine in terms of cognition, behavior and function level. They concluded that no significant quarantine-related changes were detected in cognition betwe

COVID-19 pandemic resulted in an unprecedented crisis with extreme distress for the frontline physicians and increased risk of developing burnout. Burnout has a negative impact on patients and physicians, posing a substantial risk in patient safety, quality of care and physicians' overall wellbeing. We evaluated burnout prevalence and possible predisposing factors among anaesthesiologists in the COVID-19 referral university/tertiary hospitals in Greece. In this multicenter, cross-sectional study we have included anaesthesiologists, involved in the care of patients with COVID-19, during the fourth peak of the pandemic (11/2021), in the 7 referral hospitals in Greece. The validated Maslach Burnout Inventory (MBI) and Eysenck Personality Questionnaire (EPQ) were used. The response rate was 98% (116/118). More than half of the respondents were females (67.83%, median age 46 years). The overall Cronbach's alpha for MBI and EPQ was 0.894 and 0.877, respectively. The majority (67.24%) of anaesthesiologists were assessed as "high risk for burnout" and 21.55% were diagnosed with burnout syndrome. Almost half participants experienced high levels of all three dimensions of burnout; high emotional exhaustion (46.09%), high depersonalization (49.57%) and high levels of low personal accomplishment (43.49%). Multivariate logistic analysis revealed that neuroticism was an independent factor predicting "high risk for burnout" as well as burnout syndrome, whereas the "Lie scale" of EPQ exhibited a protective effect against burnout. Burnout prevalence in Greek anaesthesiologists working in COVID-19 referral hospitals during the fourth peak of the pandemic was high. Neuroticism was predictive of both "high risk for burnout" and "burnout syndrome".