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Background: Depressive disorder is common among haemodialysis patients. The purpose of this study was to explore approaches to diagnosing depression in the context of a real-life setting, with the view of creating practical recommendations. It also aimed to evaluate the prevalence of depression and dementia. Methods: We conducted a cross-sectional study in two Dialysis Centres in Poland. Cognitive functions were evaluated using Mini-Mental State Examination (MMSE). The screening for depressive symptoms was assessed using Beck Depression Inventory II (BDI-II). The diagnosis of major depressive disorder was confirmed by a psychiatrist using Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5). Sociodemographic and clinical data were also collected. Results: Initially, 136 patients agreed to participate in the study. Dementia was found in 13% of the study group. Sixty-two patients did not agree to perform all the proposed tests and were not included in the analysis, which eventually consisted of 70 patients. According to BDI-II, depressive symptoms were present in 35.7% of patients, while the diagnosis of major depressive disorder (MDD) was confirmed by the psychiatrist in 25.7%. According to the ROC analysis the optimal cut-off score for diagnosing MDD using BDI-II was ≥13 points. Conclusions: This study suggests that the regular screening for depressive symptoms, followed by a psychiatric consultation in selected patients, might improve diagnosing depression with the goal of achieving a higher quality of life and a lower mortality rate. It may also be a cost-effective model for the management of depression among the haemodialysis population.

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Cancer patients experience psychological symptoms such as depression during the cancer treatment period, which increases the burden of symptoms. Depression severity can be assessed using the beck depression inventory (BDI II). The purpose of the study was to use BDI-II scores to measure depression symptoms in cancer patients at a large tertiary hospital in Palestine. A convenience sample of 271 cancer patients was used for a cross-sectional survey. There are descriptions of demographic, clinical, and lifestyle aspects. In addition, the BDI-II is a tool for determining the severity of depression. Two hundred seventy-one patients participated in the survey, for a 95% response rate. Patients ranged in age from 18 to 84 years, with an average age of 47 years. The male-to-female ratio was approximately 1:1, and 59.4% of the patients were outpatients, 153 (56.5%) of whom had hematologic malignancies. Most cancer patients (n = 104, 38.4%) had minimal depression, while 22.5%, 22.1%, and 17.0% had mild, moderate, and severe depression, respectively. Education level, economic status, smoking status, and age were significantly associated with depression. The BDI-II is a useful instrument for monitoring depressive symptoms. The findings support the practice of routinely testing cancer patients for depressive symptoms as part of standard care and referring patients who are at a higher risk of developing psychological morbidity to specialists for treatment as needed.

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PURPOSE: Individuals with depression exhibit significantly higher levels of systemic inflammation than those without depression, particularly among those with atypical depression. However, this association has been less convincing at the population level among individuals without a formal depression diagnosis but with suggestive symptoms. Our aim was to clarify this association. MATERIALS AND METHODS: In a large birth cohort sample of the Finnish general population, we examined the cross-sectional association between high-sensitivity C-reactive protein (hsCRP) levels in venous blood samples and atypical/non-atypical depressive symptoms using the Beck Depression Inventory-II to screen 5443 middle-aged participants. RESULTS: As expected, depressive symptoms associated to elevated hsCRP-levels compared to non-depressed. Participants with the atypical subtype of depressive symptoms (n = 84) had an odds ratio (OR) of 2.59 (95% CI 1.40-4.81) for elevated hsCRP levels compared to the non-depressed group. Similarly, our findings indicate that participants with non-atypical symptoms (n = 440) also showed an OR of 1.42 (95% CI 1.05-1.92) when compared to the non-depressed group (n = 4919). CONCLUSIONS: These results provide additional support for previous research linking depression and inflammation and add to the field with a unique and sizeable study population. Furthermore, the current results support the notion that different types of depressive symptoms may be associated with inflammatory markers in slightly different ways.

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BACKGROUND: Depression, a common mental problem frequently detected in people with epilepsy (PWE), is a major factor that decreases the quality of life of PWE. The cognitive behavioral therapy (CBT) is the most commonly used non-pharmacological treatment for depressive disorders. The CBT for PWE with depression has not yet been studied in Korea. This study aimed to evaluate the effects of the CBT on depression in PWE in Korea. METHOD: This study included 16 PWE with depression who received CBT and 30 control PWE with depression who did not receive CBT. The mean number of CBT sessions per patient was 7.2 in the CBT group. The Beck Depression Inventory-II (BDI-II) and Patient Health Questionnaire-9 (PHQ-9) were administered before and after CBT sessions in the CBT group, whereas PHQ-9 was performed at baseline and follow-up in the control group. The difference in PHQ-9 and BDI-II scores were analyzed between the pre- and post-CBT periods in the CBT group. The difference between baseline and follow-up PHQ-9 scores was compared in the control group. RESULTS: There was no significant difference in baseline variables between the CBT and control groups. The PHQ-9 score significantly decreased after the CBT sessions in the CBT group (pre-CBT PHQ-9 = 13.56 vs. post-CBT PHQ-9 = 8.56) but it did not change in the control group (Baseline PHQ-9 = 13.83 vs. follow-up PHQ-9 = 14.67). Twelve PWE had undergone four or more CBT sessions with pre-CBT and post-CBT BDI-II. The BDI-II score significantly decreased after CBT sessions (pre-CBT BDI-II = 30.75 vs. post-CBT BDI-II = 21.5). The CBT decreased the sub-field scores of cognitive and physical-emotional factors as well as suicidal ideation, but the score of sleep problems did not significantly improve. The CBT did not significantly change the seizure frequency. CONCLUSION: The CBT significantly improved depression in Korean PWE. Therefore, it can be considered a treatment tool for depression in PWE. However, a study with more patients and a fixed number of CBT sessions is recommended to generalize this effect.

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AIMS/INTRODUCTION: Depression is prevalent in diabetes patients and associated with poor outcomes, but is currently underdiagnosed, with no firm consensus on screening methods. We evaluated the validity of the short-form five-item Problem Areas in Diabetes (PAID-5) questionnaire as a screening tool for depression, comparing it with the Beck Depression Inventory-II (BDI-II) and nine-item Patient Health Questionnaire (PHQ-9). MATERIALS AND METHODS: A total of 208 English-speaking adults with type 2 diabetes, recruited from outpatient clinics, completed the BDI-II, PHQ-9 and PAID-5 questionnaires in English. Cronbach's α was used for internal reliability. Convergent validity was examined with BDI-II and PHQ-9. Receiver operating characteristics analyses were used to identify optimal PAID-5 cut-offs for the diagnosis of depression. RESULTS: All three screening tools were highly reliable, with BDI-II, PHQ-9 and PAID-5 having a Cronbach's α of 0.910, 0.870 and 0.940, respectively. There was a good correlation between BDI-II and PHQ-9, with a correlation co-efficient (r) of 0.73; and a moderate correlation between PAID-5 and PHQ-9, and PAID-5 and BDI-II, with r of 0.55 and 0.55 respectively (P values <0.01). An optimal PAID-5 cut-off ≥9 corresponded to both a BDI-II cut-off >14 (sensitivity 72%, specificity 784%, area under the curve 0.809) and a PHQ-9 cut-off >10 (sensitivity 84%, specificity 74%, area under the curve 0.806). Using a PAID-5 cut-off ≥9, the prevalence of depressive symptoms was 36.1%. CONCLUSIONS: Depressive symptoms are prevalent in people with type 2 diabetes, with the degree of distress significantly related to the severity of depressive symptoms. PAID-5 is a valid and reliable screening tool, and a score ≥9 could prompt further confirmation for depression.

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The aim of this study is to analyze the evolution of sexual function throughout pregnancy and highlight the predicting factors of sexual dysfunction in pregnant women. Our study included 144 participants, aged 16 to 45. Patients were evaluated three times during pregnancy by filling out the Female Sexual Function Index (FSFI) and the Body Exposure in Sexual Activities Questionnaire (BESAQ). At the time of the last evaluation, we asked patients to also fill out Beck's Depression Inventory (BDI-II) and a questionnaire regarding their psychological status and relationship satisfaction. We observed that the FSFI lubrication, satisfaction, and pain domains and the FSFI total score significantly decreased from the 1st to the 3rd evaluation. We observed that an increase in BDI score and the presence of abortion in the patient's history increase the risk of developing female sexual dysfunction (FSD). Higher BMIs were found to be a protective factor against FSD, as was being unmarried. The relationship satisfaction score was found to be an independent predictor of FSD. These findings support previous studies that indicate that pregnancy and postpartum sexuality are multifaceted phenomena and that psycho-social factors have a greater impact on sexuality than biological factors.

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This study aimed to evaluate the validity of the Beck Depression Inventory (BDI-II) as a screening tool for depression among Kazakh-speaking female cancer patients. A cross-sectional study design with random sampling was used to collect and analyze data from 115 female cancer patients. Means, sensitivity, specificity, and positive and negative predictive values were calculated. An analysis of receiver operating characteristic (ROC) curves was conducted to determine the optimal cut-off score for the BDI-II in this population as a screening tool for depression. Test-retest reliability and internal consistency were also tested. Results showed that using a BDI-II cut score of 15 retained high sensitivity (82.7%), increased specificity (75.0%), and improved positive (86.1%) and negative predictive values (69.8%) of the BDI-II compared to a cut score of 14. Kazakh BDI-II indicated excellent consistency (Cronbach's alpha of 0.86) and reliability (intraclass correlation coefficient (ICC) of 0.92 (95% CI [0.89-0.94])). The use of this valid screening tool can facilitate the diagnosis of depression in female cancer patients.

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The aim of the study was to assess the risk and severity of depression tendency in pregnant and postpartum women and to determine the relative risk for selected psychosocial and obstetric variables. The study included 317 women in the perinatal period. The severity of depressive disorders was assessed using standard self-report scales: EPDS (Edinburgh Postnatal Depression Scale), BDI-II (Depression Inventory-Second Edition), and HADS (Hospital Anxiety and Depression Scale). High rates of depression tendency in women in the third trimester of pregnancy were reported in 48.05% of pregnant women (≥10 EPDS scores), 49.36% (≥12 BDI II scores), and 41.55% (≥8 HADS-D scores). In contrast, in women in the first week after delivery, respectively: 33.74%; 28.83%; 22.08%. In the EPDS assessment, 11.69% of pregnant women and 17.79% of postpartum women confirmed the presence of self-injurious thoughts. A woman's diagnosis of depressive disorder before pregnancy increases the risk of postpartum depression tendency 3.35 times according to the EPDS, 3.51 times according to the BDI-II, and 4.89 times according to the HADS-D. Depressive disorders were significantly more common in pregnant women compared to women in the first week of postpartum. Systematic screening can identify risk factors for prenatal and postpartum depression.

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The clinical presentation of Parkinson's disease (PD) is often dominated by depressive symptoms, which can significantly impact the patients' quality of life (QoL). However, it is not clear how these depressive symptoms are interconnected, or if some symptoms are more influential in affecting QoL. In the Cohort of Patients with Parkinson's Disease in Spain (COPPADIS) study, 686 patients with PD were analyzed using network analyses. The patients completed the Beck Depression Inventory II (BDI-II) and provided their overall QoL (EUROHIS-QOL) at the beginning of the study. The study used centrality measures such as Expected Influence and Bridge Expected Influence to identify depressive symptoms that had the greatest impact on overall QoL. The results of exploratory network analyses indicate that the BDI-II items related to loss of energy, past failure, and tiredness or fatigue have the greatest impact on overall QoL as measured by the EUROHIS-QOL 8-item index. The loss of energy and tiredness or fatigue BDI-II items are also strongly associated with a number of different EUROHIS-QOL items, according to Bridge Expected Influences. For individuals suffering from PD, network analysis can aid in identifying significant non-motor symptoms that impact their QoL, thus paving the way for potential improvements.

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Objectives: Empty nose syndrome (ENS), a complication resulting from surgical procedures on turbinate tissue, is characterized by paradoxical nasal obstruction with wide nasal airways. Patients with ENS often also experience psychiatric symptoms, and psychiatric disorder detection remains dependent on subjective evaluation. Objective biomarkers for mental status assessment in patients with ENS are unestablished. This study aimed to evaluate the role of serum interleukin-6 (IL-6) levels in the mental status of patients with ENS. Methods: Overall, 35 patients with ENS who underwent endonasal submucosal implantation surgery were prospectively included in the study. The Sino-Nasal Outcome Test-25 (SNOT-25), Empty Nose Syndrome 6-item Questionnaire (ENS6Q), Beck Anxiety Inventory (BAI), and Beck Depression Inventory-II (BDI-II) were used to assess the physical and psychiatric symptoms of these patients preoperatively, and 3, 6, and 12 months postoperatively. Serum IL-6 levels were analyzed 1 day before surgery. Results: All subjective assessments significantly improved 3 months after surgery and plateaued at 12 months. Patients with higher serum preoperative IL-6 levels tended to experience more severe depression. Regression analysis showed that a preoperative serum IL-6 level > 1.985 pg/mL was significantly correlated with severe depression status in patients with ENS (odds ratio = 9.76, p = 0.020). Conclusions: ENS patients with higher preoperative serum IL-6 levels were more likely to have severe depressive burden. Since more suicidal thoughts or attempts were noted in these patients, timely treatment plan for patients with high levels of serum IL-6 is crucial and may consider psychotherapy after surgical treatment.

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Background/Objective: Screening for depression in patients with cancer can be difficult due to overlap between symptoms of depression and cancer. We assessed validity of the Beck Depression Inventory (BDI-II) in this population. Method: Data was obtained in an outpatient neuropsychiatry unit treating patients with and without cancer. Psychometric properties of the BDI-II Portuguese version were assessed separately in 202 patients with cancer, and 376 outpatients with mental health complaints but without cancer. Results: Confirmatory factor analysis suggested a three-factor structure model (cognitive, affective and somatic) provided best fit to data in both samples. Criterion validity was good for detecting depression in oncological patients, with an area under the ROC curve (AUC) of 0.85 (95% confidence interval [CI], 0.76–0.91). A cut-off score of 14 had sensitivity of 87% and specificity of 73%. Excluding somatic items did not significantly change the ROC curve for BDI-II (difference AUCs = 0.002, p=0.9). A good criterion validity for BDI-II was also obtained in the non-oncological population (AUC = 0.87; 95% CI 0.81–0.91), with a cut-off of 18 (sensitivity=84%; specificity=73%). Conclusions: The BDI-II demonstrated good psychometric properties in patients with cancer, comparable to a population without cancer. Exclusion of somatic items did not affect screening accuracy. (AU)

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BACKGROUND: Adolescence is the phase of rapid transition of the body. The requirement of all minerals and vitamins changes in this phase of life so does Vitamin D. Despite Vitamin D being abundantly available, its deficiency, which can cause innumerable side effects on the body, is extremely common among the general population.  Material and methods: The present study was a cross-sectional study carried out from January 2021 to July 2022 for two years at various government rural high schools in Kolar, Karnataka, India. All adolescents who were aged 11-18 years and studying in 9th and 10th standards were included in the study after consent and assent. Adolescent boys and girls with any pre-existing mental health illness were excluded from the study. To assess depression, Beck's Depression Inventory (BDI-II) was used. Vitamin D3 levels were assessed by using VITROS Immunodiagnostic products using a 25-OH Total reagent pack. All data were entered in a Microsoft Excel sheet (Redmond, USA) and analyzed using IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp. To check for the association between factors, Chi-square was applied with a level of significance defined as a p-value less than 0.05. RESULTS: Out of 451 students, 272 (60.3%) belonged to the 15-year age group, 224 (49.7%) were boys, 235 (52.1%) were studying in 10th standard, 323 (71.6 %) belonged to nuclear families, 379 (84%) were non-vegetarian by diet, 222 (49.2%) had sun exposure in the afternoon, and 156 (34.6%) had a sun exposure of fewer than 60 minutes, 133 (29.5%) had severe depression according to Beck's Depression Inventory-II. One hundred sixty-two (35.9%) had insufficient Vitamin D3 levels (12-20 ng/ml), and 66 (14.6%) had deficient levels of Vitamin D3 (less than 12 ng/dl). There was a statistically significant association between depression and Vitamin D3 levels. CONCLUSION: There are innumerable causes of adolescent depression. The present study shows Vitamin D levels were statistically associated with depression among adolescents. Vitamin D supplementation of at least 600 international units, which is the recommended dietary allowance (RDA), could be beneficial in tackling Vitamin D to sufficiency status (20-100 ng/ml) and also indirectly address Adolescent Depression. Better study designs, like randomized control trials showing Vitamin D intervention and its possible curative role in adolescent depression, are required to establish the causal association.

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Background/Objective: Screening for depression in patients with cancer can be difficult due to overlap between symptoms of depression and cancer. We assessed validity of the Beck Depression Inventory (BDI-II) in this population. Method: Data was obtained in an outpatient neuropsychiatry unit treating patients with and without cancer. Psychometric properties of the BDI-II Portuguese version were assessed separately in 202 patients with cancer, and 376 outpatients with mental health complaints but without cancer. Results: Confirmatory factor analysis suggested a three-factor structure model (cognitive, affective and somatic) provided best fit to data in both samples. Criterion validity was good for detecting depression in oncological patients, with an area under the ROC curve (AUC) of 0.85 (95% confidence interval [CI], 0.76-0.91). A cut-off score of 14 had sensitivity of 87% and specificity of 73%. Excluding somatic items did not significantly change the ROC curve for BDI-II (difference AUCs = 0.002, p=0.9). A good criterion validity for BDI-II was also obtained in the non-oncological population (AUC = 0.87; 95% CI 0.81-0.91), with a cut-off of 18 (sensitivity=84%; specificity=73%). Conclusions: The BDI-II demonstrated good psychometric properties in patients with cancer, comparable to a population without cancer. Exclusion of somatic items did not affect screening accuracy.

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Depression and alcohol misuse, frequently comorbid, are associated with altered reward processing. However, no study has examined whether and how the neural markers of reward processing are shared between depression and alcohol misuse. We studied 43 otherwise-healthy drinking adults in a monetary incentive delay task (MIDT) during fMRI. All participants were evaluated with the Alcohol Use Disorders Identification Test (AUDIT) and Beck's Depression Inventory (BDI-II) to assess the severity of drinking and depression. We performed whole brain regressions against each AUDIT and BDI-II score to investigate the neural correlates and evaluated the findings at a corrected threshold. We performed mediation analyses to examine the inter-relationships between win/loss responses, alcohol misuse, and depression. AUDIT and BDI-II scores were positively correlated across subjects. Alcohol misuse and depression shared win-related activations in frontoparietal regions and parahippocampal gyri (PHG), and right superior temporal gyri (STG), as well as loss-related activations in the right PHG and STG, and midline cerebellum. These regional activities (ß's) completely mediated the correlations between BDI-II and AUDIT scores. The findings suggest shared neural correlates interlinking depression and problem drinking both during win and loss processing and provide evidence for co-morbid etiological processes of depressive and alcohol use disorders.

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Introduction: Maternal depression is one of the important problems of postpartum women. For its early detection and appropriate treatment, it is necessary to identify women at high risk for depression quickly and easily. Materials and methods: A simple screening scale for depression from physical aspects, the multidimensional physical scale (MDPS), which is a 17-item, self-report, three-step scale (0, 1, 2) according to the theory of Kampo medicine, was developed. The aim of the present study was to develop (n = 785) and validate (n = 350) the MDPS that was designed to rate the risk of depression. The Beck Depression Inventory-Second Edition was used for determination of depression. In the development cohort, the final model was determined using multi-regression logistic analysis. Results: The components of the MDPS for mothers (MDPS-M) were developed, containing the total score of MDPS (0-34 points) and resumption of menstruation or not (-3, 0 points). Receiver-operating characteristic curve analysis of the MDPS-M (-3 to 34) for identifying a high risk of depression showed moderately good discrimination [area under the curve (AUC) = 0.74, 95% confidence interval (CI): 0.70-0.78]. At the cutoff value of MDPS-M (9/10), its sensitivity, specificity, positive predictive value, and negative predictive value were 84.9, 45.7, 36.7, and 89.2%, respectively. External validation of the MDPS-M showed moderately good discrimination (AUC = 0.74, 95% CI: 0.68-0.79) using the same analysis as the development cohort. Conclusion: These results indicate that the MDPS-M is a useful, simple, clinical scale for early identification of mothers at high risk of depression in primary care.

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Objective: In the past, medical students have been found to be at increased risk for depressive symptoms compared to the general population. This study addresses the question, whether medical students already show these elevated depression scores at the beginning of medical school or whether it is the studies of medicine that leads to symptoms of depression. Methods: In the winter semester 2018/2019, 148 medical students at a middle-sized German university answered a questionnaire during the first (T0) and last week (T1) of their first semester that examined various risk and resilience factors for initial depressive symptoms and their course. The severity of symptoms was assessed with the Beck´s Depression Inventory II (BDI-II). A subscale of the NEO-FFI was used to investigate the personality factor neuroticism. Results: Over the study period, the percentage of students suffering from at least mild depressive symptoms increased from 16.3% in the first week of their studies (T0) to 21.4% at the end of the first semester (T1). The use of drugs or medication, loneliness, mental overload, performance pressure and financial burden show the strongest influence on the development of depressive symptoms. Concerning surveyed resilience factors, in particular emotional support, physical workout and sufficient time for social contact appear to be protective. The more risk factors are concentrated on an individual, the higher its increase of depressive symptoms. The opposite is prevailing for the investigated resilience factors. Except for the use of drugs or medication, no other criterion than the BDI-II value at T0 was able to predict the BDI-II score at T1. This underlines that especially the interplay of factors is decisive. Conclusion: The findings of this study could indicate a worsening tendency of the BDI-II score in the further course of medical school. Ultimately, we emphasize the importance of offering preventive measures to medical students as early as possible.

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PURPOSE: Depression is a multifaceted psychiatric condition that has been associated with suboptimal weight loss following bariatric surgery. Previous variations of Beck Depression Inventory-Second Edition (BDI-II) subscales been proposed, including those identified within bariatric populations; however, it is unclear whether the BDI-II items contained within these subscales would remain consistent after the procedure considering the physical and lifestyle changes that occur following bariatric surgery. MATERIALS AND METHODS: A two-step analytic approach that comprised of exploratory (EFA) and confirmatory factor analyses (CFA) that aimed to identify a stable factor structure using pre- and 6-month post-surgical BDI-II responses. Baseline BDI-II responses of 149 patients (Group 1) were used to identify an initial EFA model. Five BDI-II models underwent CFA using BDI-II responses of a comparable pre-surgical group (Group 2; n = 142), and 6-month post-surgical data from Group 1. RESULTS: EFA generated a two-factor solution. Of the five CFA models performed, the three-factor model that was initially identified by Hayes (2015) among patients undergoing bariatric surgery demonstrated superior fit across time and between groups. CONCLUSIONS: Although the EFA initially identified a two-factor model, CFA determined that a previously defined three-factor model reliably fit both pre- and post-surgical BDI-II responses. This study supports using the Hayes (2015) subscales when monitoring pre- and post-bariatric surgery facets of depression specific to this population. Being able to accurately and reliably monitor depressive symptoms of patients that are undergoing bariatric surgery will allow for the provision and monitoring of targeted interventions aimed at improving their mental and physical health outcomes.

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Background & Aims: Non-alcoholic steatohepatitis (NASH) is associated with increased mortality and a high clinical burden. NASH adversely impacts patients' health-related quality of life (HRQoL), but published data on the humanistic burden of disease are limited. This review aimed to summarise and critically evaluate studies reporting HRQoL or patient-reported outcomes (PROs) in populations with NASH and identify key gaps for further research. Methods: Medline, EMBASE, the Cochrane Library and PsycINFO were searched for English-language publications published from 2010 to 2021 that reported HRQoL/PRO outcomes of a population or subpopulation with NASH. Results: Twenty-five publications covering 23 unique studies were identified. Overall, the data showed a substantial impact of NASH on HRQoL, particularly in terms of physical functioning and fatigue, with deterioration of physical and mental health as NASH progresses. Prevalent symptoms, including fatigue, abdominal pain, anxiety/depression, cognition problems, and poor sleep quality, adversely impact patients' ability to work and perform activities of daily living and the quality of relationships. However, some patients fail to attribute symptoms to their disease because of a lack of patient awareness and education. NASH is associated with high rates of comorbidities such as obesity and type 2 diabetes, which contribute to reduced HRQoL. Studies were heterogeneous in terms of diagnostic methods, population, outcomes, follow-up time, and measures of HRQoL/utility. Most studies were rated 'moderate' at quality assessment, and all evaluable studies had inadequate control of confounders. Conclusions: NASH is associated with a significant HRQoL burden that begins early in the disease course and increases with disease progression. More robust studies are needed to better understand the humanistic burden of NASH, with adequate adjustment for confounders that could influence outcomes. Lay summary: Non-alcoholic steatohepatitis (NASH) has a significant impact on quality of life, with individuals experiencing worse physical and mental health compared with the general population. NASH and its symptoms, which include tiredness, stomach pain, anxiety, depression, poor focus and memory, and impaired sleep, affect individuals' relationships and ability to work and perform day-to-day tasks. However, not all patients are aware that their symptoms may be related to NASH. Patients would benefit from more education on their disease, and the importance of good social networks for patient health and well-being should be reinforced. More studies are needed to better understand the patient burden of NASH.

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Introduction: Although the diurnal fluctuation of motor dysfunction, reversible with small doses of dopamine, is a cornerstone for the phenotype of the autosomal dominant Segawa syndrome, the non-motor symptoms of this neurotransmitter deficiency have still received limited attention. Objective: This study aims to evaluate non-motor symptoms of this dopa-responsive dystonia through an intrafamilial comparative cross-sectional study. Methods: Seventeen individuals with a c.IVS5 + 3insT (c.626 + 3insT) variation in the GTP cyclohydrolase-1 gene (GCH1, HGNC: 4193) and 34 intrafamilial controls were studied using the Beck Depression Inventory-II, the Wiener Matrizen Test 2, the Epworth Sleepiness Scale, the Pittsburgh Sleep Quality Index, the MINI/MINI PLUS Questionnaires, the World Health Organization Quality of Life - BREF Instrument and a drug use assessment questionnaire. Results: No significant difference was found between the groups in the prevalence of sleep disorders and in cognitive function. Nevertheless, generalized anxiety disorder (p = 0.050) and attention-deficit/hyperactivity disorder in childhood (p = 0.011) were observed only in individuals without the molecular variation. The group with the GCH1 variation presented a worse perception about how safe they feel in their daily lives (p = 0.034), less satisfaction with themselves (p = 0.049) and with their relationships (p = 0.029), and a higher prevalence of past major depressive episodes before use of L-Dopa (p = 0.046). Conclusion: Low dopamine could have been protective against generalized anxiety disorder and attention-deficit/hyperactivity disorder in childhood in Segawa group individuals. The prevalence of depression was higher in individuals with the molecular variant prior to the L-Dopa treatment. Considering it, the penetrance estimates for the variant carriers increased from 58.8% to up to 88% in this large studied family. Additionally, neuropsychiatric tests of all individuals with a molecular diagnosis in an affected family are a valuable instrument for its clinical management.

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AIMS: This study investigated mental health reactions to dealing with COVID-19 in a population of nurses working in a variety of settings. The study attempted to expand our current understanding of the psychological reactions unique to nurses working during the highly stressful period of the COVID-19 pandemic. DESIGN: The study used an online questionnaire design. METHODS: Nurses were recruited using social media via an electronic link between July and September 2020. Of them, 112 nursing professionals completed the 66-item questionnaire. RESULTS: Significant findings included the presence of moderate or greater levels of anxiety (62%), depression (31%), and posttraumatic stress disorder (15%) and with significantly greater intrusive thoughts and memories for nurses who provided direct patient care than those who did not. Nurses with a prior history of anxiety or depression were found to be at greater risk for psychological distress. Results further highlighted concerns and fears related to coronavirus in both their daily personal and professional lives. CONCLUSION: The use of standard, commonly used, measures of psychological disorders allow for a more precise comparison among studies both for this population at the time of the survey and over a period of time. IMPACT: Suggestions for helping nursing professionals identify nurses at risk and improved ways to cope and deal with adverse psychological effects are discussed.

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