Higher Depression Scores Research Articles

Personality functioning and mental distress in leaders of small- and medium sized enterprises.

For leaders of small and medium-sized enterprises (SMEs) grappling with diverse tasks and stressors, personality functioning can play a key role on stress perception and building and managing professional relationships. We investigated the relationship between SME leaders' personality functioning on the dimensions of self-perception and self-regulation on perceived stress reactivity (PSR), and symptoms of anxiety and depression. A cross-sectional sub analysis of a multi-centre RCT project was performed. A sample of N = 174 SME leaders from various sectors in southern Germany were examined on their self-rated levels of personality functioning (OPD-SQ), involving self-perception (facets: self-reflection, affect differentiation, sense of identity) and self-reflection (facets: impulse control, affect tolerance, regulation of self-esteem), with higher scores indicating lower levels of personality functioning. The outcome variables were perceived stress reactivity (PSRS) and symptoms of depression and anxiety (HADS). The mean score for symptoms of anxiety was M = 6.13 (SD = 3.34), depression M = 4.40 (SD = 3.35), and for PSRS M = 21.39 (SD = 8.04). The mean sum score for self-perception was M = 7.71 (SD = 7.19) and for self-regulation M = 10.50 (SD = 7.09). The results of three regression models showed that higher scores for affect differentiation (rsp = .13), impulse control (rsp = .14) and regulation of self-esteem (rsp = .29) were associated with higher scores for PSR. Higher scores for affect differentiation (rsp = .17) and affect tolerance (rsp = .20) were significantly associated with higher scores for anxiety. A higher score for regulation of self-esteem (rsp = .17) was associated with higher depression scores. This study highlights the association between core dimensions of SME leaders' personality functioning and mental distress. The findings can be applied on interventions and health promotion and the establishment of high-quality professional relationships and leadership skills.

Features of the clinical picture of affective disorders in women during the menopausal transition and early postmenopause

To determine the clinical and psychopathological features of affective disorders in women in the perimenopausal and early postmenopausal periods. The study included 90 female patients receiving inpatient psychiatric care for affective disorders, among them 41 patients were perimenopausal (group 1) and 49 were early postmenopausal (group 2). Clinical and psychopathological, psychometric (the Hospital Anxiety and Depression Scale - HADS, the Hamilton Depression and Anxiety Scales - HAM-D and HAM-A, the Hypomania Checklist-32 - HCL-32, the Bipolarity Index (BI), the Insomnia Severity Index - ISI, the Pittsburgh Sleep Quality Index - PSQI) and statistical methods were used. Symptoms of atypical (63.4%) and anxious (87.8%) depression predominated among perimenopausal patients, and melancholic depression (59.2%) prevailed in early postmenopause. Patients in group 1 had higher anxiety scores on HADS and HAM-A compared to group 2 (p=0.003 and p=0.01). At the same time, early postmenopausal women had higher depression scores on the HADS and HAM-D (p=0.001). ISI and PSQI scores in postmenopause were significantly higher than in perimenopause (p=0.001 and p=0.009). The clinical features of affective disorders as well as severity and nature of the accompanying sleep disturbances vary depending on the stage of menopause, which must be considered when prescribing additional methods for examination and treatment of these disorders.

The Relationship Between Depressive Symptoms and Psychological Variables in Patients With Schizophrenia.

Depressive symptoms are common in schizophrenia and can be seen at any stage of the disease. Although various models have been proposed to explain the development of depression in schizophrenia, studies investigating related psychological factors are scarce and the studies that have been done usually focus on only a small number of possible factors. The goal of this study was to investigate the predictability of some psychological factors on depression in patients with schizophrenia. For this purpose, patients with high and low depression scores were compared. Two groups of individuals with schizophrenia, with (n=29) and without (n=31) depression, as determined by scores on the Calgary Depression Scale in Schizophrenia, were compared using a sociodemographic data form, the Positive and Negative Syndrome Scale (PANSS), the Beck Anxiety Inventory, the Rotter Internal-External Locus 2024 of Control Scale, the Multidimensional Scale of Perceived Social Support, and the Stress Coping Styles Scale. No differences were found between the 2 groups in terms of sociodemographic and clinical characteristics, social support scores, and coping styles. Statistically significant differences were found between the groups on the PANSS positive, negative, and general psychopathology subscales, in PANSS total scores, in anxiety scores, and in locus of control scores. This study showed that high levels of negative, positive, and general psychopathological symptoms, external locus of control, and high anxiety scores may be predictive of depression in individuals with schizophrenia. Studies that examine psychological factors in larger patient groups may provide the opportunity to detect and target these factors earlier in the course of schizophrenia, thereby reducing morbidity and mortality.

Исследование распространенности сочетанного поражения органов зрения, слуха и нарушений когнитивной функции у населения Южного Урала в возрасте 85 лет и старше

Material and methods. This study was carried out as part of the research project Ural Eye Study of Very Old People. The study involved 1526 respondents aged 85 years and older. Results. This study was conducted on 731 (47.9%) respondents (mean age 88.1±2.7 years; median 87 years, range 85–98 years) with available data on measures of vision, hearing, and cognitive function. The prevalence of low vision and blindness, hearing impairment, combined disorders and the presence of dementia was 51.8% (95% CI 48.2 to 55.5%), 33.1% (95% CI 29.7 to 36.5%), 20.5% (95% CI 17.8 to 23.5%) and 48.2% (95% CI 44.5 to 51.8%), respectively. A lower cognitive function score was associated with lower visual acuity (p<0.001) and a higher degree of hearing loss (p=0.03), adjusted for older age (p=0.001), rural region of residence (p=0.003), lower level of education (p<0.001) and higher depression scores (p<0.001). Higher prevalence of dementia was associated with higher incidence of hearing impairment (OR 2.18, 95% CI 1.59 to 2.98; p<0.001), higher incidence of low vision/blindness (OR 2.09, 95% CI 1.55 to 2.81; p<0.001) and a higher prevalence of combined visual and hearing impairment (OR 2.80, 95% CI 1.92 to 4.07; p<0.001). Conclusion. This study showed a stronger association of combined visual and hearing impairment (prevalence 20.5%) (OR 2.80) with dementia compared with hearing impairment alone (OR 2.18) or visual impairment alone (OR 2.09). The findings show the importance of correcting sensory impairments for the prevention of dementia. Key words: very old population, population-based study, blindness, low vision, hearing loss, dementia

Cognitive dysfunction in de novo Parkinson disease: Remitting vs. progressive cognitive impairment

IntroductionParkinson's disease (PD) exhibits divergent cognitive trajectories; however, the factors contributing to these variations remain elusive. This study aimed to examine the clinical features of patients with different long-term cognitive trajectories in de novo PD over a five-year follow-up. MethodsWe analyzed 258 patients who completed every annual evaluation for five years. According to the Montreal Cognitive Assessment (MoCA) scores, we classified patients into three groups: cognitively normal (n = 118, CN), remitting MoCA decline (n = 74, RMD), and progressive MoCA decline (n = 66, PMD). ResultsThe RMD group was associated with lower olfactory scores (Odds Ratio (OR) = 0.958, p = 0.040), whereas PMD was associated with higher depression scores (OR = 1.158, p = 0.045), probable RBD (OR = 3.169, p = 0.002), older age (OR = 1.132, p < 0.001) and lower educational attainment (OR = 0.828, p = 0.004). PMD had higher neurofilament light chain protein values than CN and RMD (p = 0.006, 0.015, respectively). Longitudinally, PMD showed a greater decline in all cognitive scores and hippocampus volumes (p = 0.004). Meanwhile, RMD exhibited intermediate cognitive and volumetric trajectories between CN and PMD and displayed worse score changes in memory tasks than CN. ConclusionsWhile PMD exhibited known risk factors for cognitive impairment, along with worse cognitive performance and hippocampal volume decline, RMD displayed baseline lower olfactory scores and intermediate cognitive and hippocampal volume decline between the two groups. These findings suggest individuals in RMD may still be at risk for cognitive deficits. However, further long-term follow-up data are needed to unravel the determinants and dynamics of cognitive functions.

Ansiedad y depresión en el embarazo. Variables asociadas durante el periodo de pandemia COVID-19

ObjectiveTo assess the association between age, parity, nationality, educational level, employment and partner support with depression and anxiety during pregnancy. To determine the impact of the evolution of the COVID-19 pandemic on the anxiety and depression levels of the participants. MethodCross-sectional descriptive correlational study carried out in the Osakidetza/Basque Health Service, Primary Care, Bizkaia (Spain). A total of 295 pregnant women between 8 and 41 weeks participated. The association between age, parity, nationality, educational level, employment, partner support and COVID-19 incidence rates during the study period and depression (measured with the Edinburgh Postnatal Depression Scale) and anxiety (measured with the State-Anxiety Inventory/STAI-S subscale) scores during pregnancy was measured. A logistic regression model was constructed and odds ratios and their 95% confidence intervals were estimated. ResultsThe mean score was 18.75 points for anxiety (SD 8.69) and 6.45 points for depression (SD 4.32). Women expecting their second or later child had higher scores for depression (OR 2.51 [95%IC: 1.26-5.01]) and anxiety (OR 1.98 [95%IC: 1.01-3.89]). Having completed university studies was associated with lower scores in depression (OR 0.28 [95%IC: 0.11-0.77]) and in anxiety (OR 0,2 [95%IC: 0.08-0.54]). A good relationship with the partner was associated with lower levels of anxiety (OR 0.45 [95%IC: 0.24-0.81]). The mean anxiety and depression scores are related to the incidence of COVID-19 cases; the anxiety score was significantly higher in periods of higher incidence. ConclusionsGreater emotional care for pregnant women with low educational level, multiparous and with weak support from their partner, would reduce anxiety and depression in pregnancy. Health emergency situations affect mental health during gestation.

Relationship between anxiety and depression with smoking cessation treatments: a follow-up study

ABSTRACT Background Smoking is known to be closely associated with stress levels and anxiety. In this study, the effects of smoking cessation treatments were investigated on anxiety/depression. Methods Socio-demographic characteristics, The Fagerström/Test/Nicotine/Dependence and the Hospital Anxiety/Depression-Scale, were applied for the first time. The first group received “varenicline+counseling,” second group “bupropion+counseling,” and third group “counseling only.” The Hospital Anxiety/Depression-Scale was recorded in quit smokers. Anxiety and depression scores were compared between groups and between smokers and ex-smokers in the first and sixth months. Results Firstly, The Hospital Anxiety/Depression-scale revealed that anxiety was noted in 46.8%, depression in 11.2%, and anxiety and/or depression in 48.9%. A significant decrease in both anxiety and depression scores was observed in quit smokers at 6 months (47.9%, 37.4% respectively) (p < .001). In the sixth month, there was a significant decrease in anxiety scores in the varenicline and bupropion groups. In addition, a significant decrease in the depression score of was observed in the varenicline group. In the bupropion group, the smoking cessation rate was higher in those with high anxiety and/or depression scores (66.7%). Conclusions Varenicline decreased anxiety/or depression scores in both smokers and quit smokers, whereas quit smoking rate increased in those with anxiety/depression in the bupropion.

Depression, anxiety and stress among patients with dialysis in a tertiary hospital of Vietnam in 2022

ABSTRACT Background To understand depression, anxiety, and stress among dialysis patients in a tertiary hospital in Vietnam and to pinpoint risk factors, this study examined these conditions. Methods A cross-sectional study was conducted in 2022 at Bach Mai Hospital, Hanoi, Vietnam. A total of 127 patients participated in the study. Those eligible participants completed a structured questionnaire with demographic information, clinical information, and Depression Anxiety and Stress Scale (DASS-21) questionnaires in Vietnamese. Multivariate Tobit regression was performed to identify associated factors. Results There were 35.4% of patients had depression, 39.4% had anxiety, and 31.5% had stress. Farmers/Workers had lower scores of depression, anxiety, and stress than those unemployed. Patients with > = 10 million VND per month had lower scores in all three mental states compared to those with below 10 million VND. Patients suffering a higher number of symptoms had higher scores in depression, anxiety, and stress. Conclusion Management plans for psychological symptoms amongst dialysis patients as well as medical treatment, possible psychotherapy, and creating awareness should take into consideration.

Alcohol and cannabis use among women with infertility: associations with psychiatric symptoms, attempts to conceive, and engagement in fertility treatment.

Little is known about substance use among women with infertility, yet substance use has implications for fertility and pregnancy. The purpose was to estimate the prevalence of substance use among women with infertility and examine whether substance use was associated with psychiatric symptoms, active attempts to conceive, and engagement in fertility treatments. Eligible patients were from a single healthcare system who received a female infertility diagnosis within the past 2years. Participants (n = 188) completed an online questionnaire regarding substance use, psychiatric symptoms, attempts to conceive, and fertility treatments. The prevalence of hazardous alcohol use, any cannabis use, and hazardous cannabis use were 30.3%, 30.9%, and 8.5%, respectively. Hazardous alcohol use was not associated with psychiatric symptoms (p > .05). Those with any cannabis use were more likely to have higher depression scores than those without (p = .02). Those with hazardous cannabis use were more likely to have higher depression scores (p = .001) and higher anxiety scores (p = .03). Substance use was not associated with actively trying to conceive. Those pursuing fertility treatments had a lower percentage engaging in hazardous alcohol use compared to those not pursuing fertility treatments (19.0% vs. 36.3%, p = .02). Substance use among women with infertility is common. Hazardous cannabis use was associated with greater psychiatric symptoms, suggesting that cannabis may be used to cope with distress. Pursuing fertility treatments may serve as a protective factor for hazardous alcohol use. Clinicians treating patients with infertility may want to screen for substance use.

Longitudinal sleep instability predicts cognitive decline and is associated with increased MRI‐visible perivascular space burden

AbstractBackgroundAlthough emerging data suggest a direct link between sleep duration, aging, and cognitive performance, the impact of longitudinal sleep patterns have on Alzheimer’s disease‐associated pathology and cognitive decline remains unclear.MethodUtilizing longitudinal data on self‐reported sleep duration collected within the Seattle Longitudinal Study, we used a Cox proportional hazard (CPH) regression to evaluate the relationship between longitudinal sleep factors on the development of cognitive decline. Additional analysis in a sub‐cohort utilized multivariate linear regression prediction analyses to evaluate the predictive value of these longitudinal sleep factors on the incidence of developing cognitive impairment over an interval of 10 years.A cohort within the study received MRI and FLAIR neuroimaging, enabling the assessment of the impact these longitudinal sleep factors have on subcortical white matter MRI‐visible perivascular space burden (PVS). A semi‐automated segmentation algorithm accounted for PVS total burden and volume, as well as average PVS width, length, and median volume across participants, blinded by group.ResultCPH analysis found years of education (HR 1.12, 95% CI 1.02, 1.22), APOE4 status (HR 2.18, 95% CI 1.37, 3.49), higher depression scores (HR 1.08, 95% CI 1.04, 1.13), short sleep phenotype (HR 1.78, 95% CI 1.03, 3.08) and increased sleep variability (HR 3.10, 95% CI 1.66, 5.80) were significantly associated with cognitive impairment. Further, when including these factors into our linear regression prediction analyses, age (p&lt;0.0001), depression (p = 0.01) and sleep variability (p = 0.042) were significant predictors of cognitive impairment over a 10‐year period.Preliminary analysis showed significant association between high sleep variability and increased whole‐brain PVS volume (p = 0.04) and length (p = 0.03), with a significant correlation between sleep variability and median PVS volume (p = 0.04). Follow‐up analysis evaluated PVS features within the wider cohort.ConclusionThese findings suggest that variability in longitudinal self‐reported sleep duration exerts a previously unappreciated influence on downstream cognitive performance and pathological processes, potentially including glymphatic dysfunction. These findings elaborate the link between sleep instability, aging, cognitive decline and neuropathologic disease state. Future studies should evaluate these findings on an independent cohort to assess whether sleep variability of different time scales (weeks, years, decades) exerts similar effects on these outcomes.

Longitudinal sleep instability predicts cognitive decline and is associated with increased MRI‐visible perivascular space burden

AbstractBackgroundAlthough emerging data suggest a direct link between sleep duration, aging, and cognitive performance, the impact of longitudinal sleep patterns have on Alzheimer’s disease‐associated pathology and cognitive decline remains unclear.MethodUtilizing longitudinal data on self‐reported sleep duration collected within the Seattle Longitudinal Study, we used a Cox proportional hazard (CPH) regression to evaluate the relationship between longitudinal sleep factors on the development of cognitive decline. Additional analysis in a sub‐cohort utilized multivariate linear regression prediction analyses to evaluate the predictive value of these longitudinal sleep factors on the incidence of developing cognitive impairment over an interval of 10 years. A cohort within the study received MRI and FLAIR neuroimaging, enabling the assessment of the impact these longitudinal sleep factors have on subcortical white matter MRI‐visible perivascular space burden (PVS). A semi‐automated segmentation algorithm accounted for PVS total burden and volume, as well as average PVS width, length, and median volume across participants, blinded by group.ResultCPH analysis found years of education (HR 1.12, 95% CI 1.02, 1.22), APOE4 status (HR 2.18, 95% CI 1.37, 3.49), higher depression scores (HR 1.08, 95% CI 1.04, 1.13), short sleep phenotype (HR 1.78, 95% CI 1.03, 3.08) and increased sleep variability (HR 3.10, 95% CI 1.66, 5.80) were significantly associated with cognitive impairment. Further, when including these factors into our linear regression prediction analyses, age (p&lt;0.0001), depression (p = 0.01) and sleep variability (p = 0.042) were significant predictors of cognitive impairment over a 10‐year period. Preliminary analysis showed significant association between high sleep variability and increased whole‐brain PVS volume (p = 0.04) and length (p = 0.03), with a significant correlation between sleep variability and median PVS volume (p = 0.04). Follow‐up analysis evaluated PVS features within the wider cohort.ConclusionThese findings suggest that variability in longitudinal self‐reported sleep duration exerts a previously unappreciated influence on downstream cognitive performance and pathological processes, potentially including glymphatic dysfunction. These findings elaborate the link between sleep instability, aging, cognitive decline and neuropathologic disease state. Future studies should evaluate these findings on an independent cohort to assess whether sleep variability of different time scales (weeks, years, decades) exerts similar effects on these outcomes.

Research of correlation between personality traits and hormones with the nature of pulmonary nodules

BackgroundRising rates of lung cancer screening have contributed to an increase in pulmonary nodule diagnosis rates. Studies have shown that psychosocial factors and hormones have an impact on the development of the oncological diseases. Therefore, we conducted this study to explore the potential relationship between pulmonary nodules pathology and patient personality traits and hormone levels. MethodsThis study enrolled 245 individuals who had first been diagnosed with pulmonary nodules in Tangdu Hospital and admitted for surgery. The personality profile of these patients was analyzed on admission using the C-Type Behavioral Scale and hormone levels were measured in preoperative serum samples. Associations between nodule pathology, personality scores, and hormone levels， were then assessed through Statistical methods analysis. ResultsBehavioral scale analyses revealed significant differences four items, including depression, anger outward, optimism, and social support (P< 0.05). Specifically, patients with higher depression scores were more likely to harbor malignant pulmonary nodules, as were patients with lower levels of anger outward, social support, and optimism. Univariate analyses indicated that nodule pathology was associated with significant differences in nodule imaging density, CT value, testosterone levels, and T4 levels(P< 0.05), and logistic regression analyses revealed pulmonary nodule imaging density and T4 levels to be significant differences of nodule pathology. ConclusionThe results showed a significant association between nodules pathology and the personality characteristics of the patients (depression, anger outward, optimism, social support), the patients' T4 levels and the imaging density of the nodules.

Feasibility of recruiting adolescents into a prospective cohort study of the effects of social isolation during COVID-19

BackgroundSocial connection and loneliness in adolescence are increasingly understood as critical influences on adult mental and physical health. The unique impact of the social isolation imposed by the COVID-19 lockdown on emerging adults is therefore expected to be especially profound. We sought to investigate the feasibility of using ecological momentary assessment (EMA) and wearable accelerometers to characterize the effects of social isolation and/or loneliness experienced by adolescents during the COVID-19 pandemic.MethodsWe recruited 19 participants aged 13–18 from an Adolescent Medicine practice in Atlanta, GA. Participants completed surveys at baseline and throughout a 2-week study period using EMA regarding their degree of social isolation, loneliness, family functioning, school climate, social media use, and COVID-19 experiences surrounding their physical, mental, and social domains. Six participants agreed to wear an activity tracker and heart rate measurement device for 14 days to monitor their emotional state and physical health. Participant feedback was collected via open-ended exit interviews. Feasibility of recruitment/retention, adherence, and outcome measures were investigated. Implementation was also assessed by evaluating the barriers and facilitators to study delivery. Associations between the social isolation and loneliness variables and all other variables were performed with univariate linear regression analysis with significance set at p < 0.05. The progression criteria were a recruitment rate of > 30% and a retention rate of > 80%.ResultsProgression criteria were met for recruitment (76%) of participants, but not retention (38%). Adherence to EMA survey completion was highly variable with only 54% completing ≥ 1 survey a day, and accelerometry use was not feasible. Social isolation was significantly correlated with lower school climate, higher COVID-19 experiences, higher depression scores, and lower sleep quality. Loneliness also showed a significant correlation with all these factors except COVID-19 experiences.ConclusionsEMA and wearable accelerometer use was not feasible in this longitudinal study of adolescents during the COVID-19 pandemic. Future research should further investigate barriers to conducting long-term research with adolescents and the potential effects of the pandemic on subject recruitment and retention.

Clinical factors associated with illness perception, worry and mental health in sclerosing cholangitis: A single centre prospective study

BackgroundA reduced quality of life and symptoms of depression and anxiety are reported in patients with primary sclerosing cholangitis (PSC), however specific risk factors and the effect of sclerosing cholangitis (SC) with autoimmune features are not known. ObjectiveTo integrate mental wellbeing assessment into routine clinical care for patients with SC, and evaluate factors associated with measures relating to quality of life, illness perception and mental health. MethodsA prospective study of adult non-transplant patients with SC attending the outpatient clinic over a 1 year period. Self-reported questionnaires were sent to patients electronically prior to clinic to assess worry, illness perception, depression and anxiety. Demographic and clinical information was collected. ResultsQuestionnaires were completed in 52/130 (40 %) patients with SC who attended clinic. Worry related to quality of life, mental and physical health, and future health were common. There was no difference in overall worry or illness perception in patients treated with ursodeoxycholic acid; whilst patients with PSC had a higher illness perception (P = 0.04) than those with SC and autoimmune features. Both worry (P = 0.047) and illness perception (P = 0.01) were higher in patients with elevated alkaline phosphatase, whilst there was no difference in patients with and without cirrhosis. There were high screening test scores for both depression (21.1 %) and anxiety (9.6 %), with no association with patient factors. ConclusionsWe integrated an electronic questionnaire for completion prior to clinic for patients with SC with good uptake. We identified a high prevalence of patient worries and symptoms of depression and anxiety, which may be more common in PSC with elevated alkaline phosphatase and without autoimmune features. We recommend the adoption of similar tools into routine clinical practice for patients with SC.

Neuronal damage and inflammatory biomarkers are associated with the affective and chronic fatigue-like symptoms due to end-stage renal disease

BackgroundMany biochemical, immunological, and neuropsychiatric changes are associated with end-stage renal disease (ESRD). Neuronal damage biomarkers such as glial fibrillary acidic protein (GFAP), neurofilament light chain (NFL), S100 calcium-binding protein B (S100B), ionized calcium-binding adaptor molecule-1 (IBA1), and myelin basic protein (MBP) are among the less-studied biomarkers of ESRD. AimWe examined the associations between these neuro-axis biomarkers, inflammatory biomarkers, e.g., C-reactive protein (CRP), interleukin (IL-6), IL-10, and zinc, copper, and neuropsychiatric symptoms due to ERSD. MethodsELISA techniques were used to measure serum levels of neuronal damage biomarkers in 70 ESRD patients, and 46 healthy controls. ResultsESRD patients have higher scores of depression, anxiety, fatigue, and physiosomatic symptoms than healthy controls. Aberrations in kidney function tests and the number of dialysis interventions are associated with the severity of depression, anxiety, fibro-fatigue and physiosomatic symptoms, peripheral inflammation, nestin, and NFL. Serum levels of neuronal damage biomarkers (NFL, MBP, and nestin), CRP, and interleukin (IL)-10 are elevated, and serum zinc is decreased in ESRD patients as compared with controls. The neuronal damage biomarkers NFL, nestin, S100B and MBP are associated with the severity of one or more neuropsychiatric symptom domains. Around 50 % of the variance in the neuropsychiatric symptoms is explained by NFL, nestin, S00B, copper, and an inflammatory index. ConclusionsThe severity of renal dysfunction and/or the number of dialysis interventions may induce peripheral inflammation and, consequently, neurotoxicity to intermediate filament proteins, astrocytes, and the blood-brain barrier, leading to the neuropsychiatric symptoms of ESRD.

The Influence of Adiposity Levels on the Relation between Perfluoroalkyl Substances and High Depressive Symptom Scores in Czech Adults.

The extensive use and bioaccumulation of Perfluoroalkyl Substances (PFAS) over time raise concerns about their impact on health, including mental issues such as depression. This study aims to evaluate the association between PFAS and depression. In addition, considering the importance of PFAS as an endocrine disruptor and in adipogenesis, the analyses will also be stratified by body fat status. A cross-sectional study with 479 subjects (56.4% women, 25-89 years) was conducted. Four PFAS were measured: perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), and perfluorooctane sulfonate (PFOS). The Poisson regression model was applied using robust error variances. The fully adjusted model included age, sex, educational level, income, smoking, physical activity, body fat percentage, and the questionnaire to assess depression. The prevalence of depression and high body fat was 7.9% and 41.1%, respectively. Only PFOA was significantly associated with depression in the entire sample (prevalence rate (PR): 1.91; confidence interval (CI95%): 1.01-3.65). However, in the group with normal adiposity, PFOA (3.20, CI95%: 1.46-7.01), PFNA (2.54, CI95%: 1.29-5.00), and PFDA (2.09, CI95%: 1.09-4.00) were also significant. Future research should investigate the role of obesity as well as the biological plausibility and possible mechanisms increasing the limited number of evidences between PFAS and depression.

A Comparative Study on the Cognitive Functions and Psychological Factors Associated with Google Effect among College Students

The usage of digital gadgets for academic purposes has increased significantly after the Covid-19 pandemic lockdown. Google Effect is also known as Digital Amnesia which can be stated as the tendency to forget what is being read on a digital gadget believing that they can refer to it whenever they are in need of it. College students were recruited through purposive sampling and screened based on checklist was developed for the study which was validated by experts in the field of psychiatry, neurology and clinical psychology. Cognitive functions were assessed using subtests of Weschler’s Memory Scale-lll. The DASS-21 was used to measure features of depression, anxiety and stress and EIS was also used to find the difference in emotional intelligence, t-test was used to analyze the significant difference between the two groups. Findings indicates that the students who had Google Effect had shown significant impairment in the cognitive tests of memory and learning compared to the group without Google Effect along with higher scores in depression, anxiety and stress and lower scores in emotional intelligence. This implies the need to bring awareness and interventions in limiting dependence on digital devices.

For Whom and for How Long Does the “Be a Mom” Intervention Work? A Secondary Analysis of Data From a Randomized Controlled Trial Exploring the Mid-Term Efficacy and Moderators of Treatment Response

This study explored clinical and sociodemographic moderators of treatment response to “Be a Mom”, an internet-based cognitive behavioral therapy (iCBT) intervention, from baseline to postintervention, in women at high risk for postpartum depression (PPD). The study also assessed the stability of women’s treatment gains from baseline to 4-months postintervention (follow-up). This open-label randomized controlled trial (RCT) involved a sample of 1,053 postpartum Portuguese women identified as being at high risk for PPD (i.e., having a score of 5.5 or higher on the Postpartum Depression Predictors Inventory-Revised); participants were allocated to “Be a Mom” intervention group or a waiting-list control group, and completed self-report measures at baseline, postintervention, and a 4-month follow-up (554 women completed follow-up assessments). Depressive and anxiety symptoms were measured using the Edinburgh Postnatal Depression Scale and the anxiety subscale of the Hospital Anxiety and Depression Scale, and flourishing/positive mental health was assessed with the Mental Health Continuum. Regression models and linear mixed models were used to examine moderators of treatment and the mid-term efficacy of the “Be a Mom” intervention, respectively. The results revealed that treatment completion, higher depression scores at baseline, and higher income levels were linked to greater symptom reduction and positive mental health enhancement. Moreover, the efficacy of the “Be a Mom” intervention was supported at the 4-month follow-up. The “Be a Mom” intervention appears to be an effective iCBT tool for reducing psychological distress and enhancing positive mental health in women at risk for PPD, with therapeutic improvements maintained over a 4-month period.

Predictors of medication adherence in a large 1-year prospective cohort of individuals with schizophrenia: insights from the multicentric FACE-SZ dataset

Schizophrenia is characterized by the most salient medication adherence problems among severe mental disorders, but limited prospective data are available to predict and improve adherence in this population. This investigation aims to identify predictors of medication adherence over a 1-year period in a large national cohort using clustering analysis. Outpatients were recruited from ten Schizophrenia Expert Centers and were evaluated with a day-long standardized battery including clinician and patient-rated medication adherence measures. A two-step cluster analysis and multivariate logistic regression were conducted to identify medication adherence profiles based on the Medication Adherence rating Scale (MARS) and baseline predictors. A total of 485 participants were included in the study and medication adherence was significantly improved at the 1-year follow-up. Higher depressive scores, lower insight, history of suicide attempt, younger age and alcohol use disorder were all associated with poorer adherence at 1 year. Among the 203 patients with initially poor adherence, 86 (42%) switched to good adherence at the 1-year follow-up, whereas 117 patients (58%) remained poorly adherent. Targeting younger patients with low insight, history of suicide, alcohol use disorder and depressive disorders should be prioritized through literacy and educational therapy programs. Adherence is a construct that can vary considerably from year to year in schizophrenia, and therefore may be amenable to interventions for its improvement. However, caution is also warranted as nearly one in five patients with initially good adherence experienced worsened adherence 1 year later.

The relationship between depression and benign prostatic hyperplasia in middle-aged and elderly men in India: a large-scale population study

BackgroundThere have been few investigations on the association between depression and benign prostatic hyperplasia (BPH). This study aims to explore the correlation between depression and BPH among middle-aged and older men in India.MethodsWe utilized data from male individuals aged 45 years and older who participated in the initial wave (2017–2018) of the Longitudinal Aging Study in India (LASI). The presence of BPH symptoms was based on self-reported information, while depressive symptoms were evaluated using CESD-10. The analysis was a cross-sectional study conducted on a final sample size of 30,108 male participants. To examine associations, we employed multivariate logistic regression analysis along with subgroup analysis and interaction tests.ResultsA total of 439 (1.46%) men reported BPH and had a higher depression score (10.18 ± 4.22 vs. 9.28 ± 4.00). The findings indicated a significant association between the depression score and the likelihood of developing BPH, even after accounting for all potential confounding variables (OR = 1.054, 95% CI: 1.030–1.078, p < 0.00001). The participants were then categorized into a depression group and a normal group based on their CESD-10 score, using a threshold of 10 to ascertain the existence or nonexistence of depression. After adjusting for all variables in model IV, the findings continued to exhibit statistical significance (OR = 1.611, CI: 1.327–1.955, p < 0.00001). Significant interaction effects of age, education level, caste or tribe, and alcohol consumption were observed (p for interaction < 0.05).ConclusionOur research found that BPH was significantly linked to the presence of depressive symptoms among middle-aged and elderly Indian men. Additional prospective research is necessary to clarify this association and investigate potential mechanisms.