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European Neuropsychopharmacology : the... Jul 2024In ESCAPE-TRD (NCT04338321), esketamine nasal spray (NS) significantly increased the probability of remission at Week 8, and of being relapse-free through Week 32 after...
In ESCAPE-TRD (NCT04338321), esketamine nasal spray (NS) significantly increased the probability of remission at Week 8, and of being relapse-free through Week 32 after remission at Week 8, versus quetiapine extended release (XR) in patients with treatment resistant depression (TRD). Here, we explore the time course, burden and consequences of treatment emergent adverse events (TEAEs) in the phase IIIb ESCAPE‑TRD trial. Patients with TRD were randomised 1:1 to esketamine NS or quetiapine XR, dosed per label alongside an ongoing selective serotonin reuptake inhibitor/serotonin norepinephrine reuptake inhibitor. In this secondary publication, safety analyses (comprising patients who received ≥1 dose of study treatment) included incidence, severity and durations (Kaplan‑Meier method) of TEAEs, and subsequent dispositional changes. P values were not adjusted for multiple testing. 336 patients were randomised to esketamine NS and 340 to quetiapine XR; 334 and 336 received ≥1 dose of study treatment, respectively. TEAEs were significantly more common with esketamine NS than quetiapine XR (91.9 % versus 78.0 %; p < 0.001), but were typically mild/moderate and transient in nature: a greater proportion resolved on the same-day (92.0 % versus 12.1 %) and lead to treatment discontinuation in significantly fewer patients (4.2 % versus 11.0 %, respectively; p < 0.001). The proportion of days spent with TEAEs was significantly lower with esketamine NS than quetiapine XR (median: 11.9 % versus 21.3 %; p < 0.001). Although more frequent with esketamine NS, TEAEs were typically transient and mild, with discontinuation less likely versus quetiapine XR. Data were consistent with established safety profiles, with no new safety signals identified. Alongside greater efficacy, the demonstrably more favourable tolerability profile of esketamine NS versus quetiapine XR further supports its use for TRD.
PubMed: 38954874
DOI: 10.1016/j.euroneuro.2024.05.009 -
PloS One 2024Depression is a prevalent and debilitating mental illness affecting young women worldwide. This study aimed to identify psychosocial determinants of major depressive...
INTRODUCTION
Depression is a prevalent and debilitating mental illness affecting young women worldwide. This study aimed to identify psychosocial determinants of major depressive disorder (MDD) among young women in Bihar and Uttar Pradesh, India.
METHODS
Data from "Understanding the Lives of Adolescents and Young Adults" (UDAYA) study (2018-19) for young women aged 12-23 years, both married and unmarried was used for this paper. MDD was evaluated using the Patient Health Questionnaire PHQ-9 with a cut-off score of ≤10. The determinants of MDD were identified through multilevel binary logistic regression analysis.
RESULTS
The prevalence of MDD was 13.6% (95% CL 12.2-15.2) and 5.1% (95% CL 4.2-6.1) for young married women and unmarried girls, respectively. Among the young married women, community-level variables like dowry-related humiliation (1.74, 95% CI 1.15-2.64), and sexual assaults (2.15, 95% CI 1.24-3.73) were significantly associated with MDD. For unmarried girls, reporting of family violence <10% of participants (0.45, 95% CI 0.24-0.85), family violence (≥10% of participants) % (0.35 95% CI 0.19-0.68) and interpartner violence (>25% of participants) (0.42; 95% CI 0.23-0.74) remain significant predictors of MDD. At individual level, for both the groups, age, participation in decision making (on education), social capital (currently attending school/educational course and number of friends), self-efficacy, telephonic harassment, and physical activity were associated with MDD. Wealth index, job seeking, participation in decision making (on health-seeking), parental interactions and physical abuse (for unmarried girls only) and education, reported last sexual intercourse, pressure from the in-laws' to conceive (for young married women only) were associated with MDD.
CONCLUSIONS
For young married women, community level targeted interventions should focus on the social ecology to foster a sense of safe community environment. For unmarried girls, additionally, interventions should aim to optimize their family environment for effective mental health outcomes.
Topics: Humans; Female; Depressive Disorder, Major; Adolescent; Young Adult; India; Prevalence; Marriage; Child; Surveys and Questionnaires; Adult; Single Person
PubMed: 38954722
DOI: 10.1371/journal.pone.0306071 -
IEEE Journal of Biomedical and Health... Jul 2024Major depressive disorder (MDD) is a chronic mental illness which affects people's well-being and is often detected at a later stage of depression with a likelihood of...
Major depressive disorder (MDD) is a chronic mental illness which affects people's well-being and is often detected at a later stage of depression with a likelihood of suicidal ideation. Early detection of MDD is thus necessary to reduce the impact, however, it requires monitoring vitals in daily living conditions. EEG is generally multi-channel and due to difficulty in signal acquisition, it is unsuitable for home-based monitoring, whereas, wearable sensors can collect single-channel ECG. Classical machine-learning based MDD detection studies commonly use various heart rate variability features. Feature generation, which requires domain knowledge, is often challenging, and requires computation power, often unsuitable for real time processing, MDDBranchNet is a proposed parallel-branch deep learning model for MDD binary classification from a single channel ECG which uses additional ECG-derived signals such as R-R signal and degree distribution time series of horizontal visibility graph. The use of derived branches was able to increase the model's accuracy by around 7%. An optimal 20-second overlapped segmentation of ECG recording was found to be beneficial with a 70% prediction threshold for maximum MDD detection with a minimum false positive rate. The proposed model evaluated MDD prediction from signal excerpts, irrespective of location (first, middle or last one-third of the recording), instead of considering the entire ECG signal with minimal performance variation stressing the idea that MDD phenomena are likely to manifest uniformly throughout the recording.
Topics: Humans; Deep Learning; Electrocardiography; Depressive Disorder, Major; Signal Processing, Computer-Assisted; Algorithms; Adult; Male
PubMed: 38954560
DOI: 10.1109/JBHI.2024.3390847 -
Genetics and Molecular Biology 2024Despite their global prevalence, the mechanisms for mood disorders like bipolar disorder and major depressive disorder remain largely misunderstood. Mood stabilizers and...
Despite their global prevalence, the mechanisms for mood disorders like bipolar disorder and major depressive disorder remain largely misunderstood. Mood stabilizers and antidepressants, although useful and effective for some, do not have a high responsiveness rate across those with these conditions. One reason for low responsiveness to these drugs is patient heterogeneity, meaning there is diversity in patient characteristics relating to genetics, etiology, and environment affecting treatment. In the past two decades, novel induced pluripotent stem cell (iPSC) research and technology have enabled the use of human-derived brain cells as a new model to study human disease that can help account for patient variance. Human iPSC technology is an emerging tool to better understand the molecular mechanisms of these disorders as well as a platform to test novel treatments and existing pharmaceuticals. This literature review describes the use of iPSC technology to model bipolar and major depressive disorder, common medications used to treat these disorders, and novel patient-derived alternative treatment methods for non-responders stemming from past publications, as well as presenting new data derived from these models.
PubMed: 38954533
DOI: 10.1590/1678-4685-GMB-2023-0305 -
The Psychiatric Quarterly Jul 2024Internet gaming disorder (IGD) is multifaceted and can have significant negative consequences. The present study examined the contribution of cognitive, metacognitive,...
Internet gaming disorder (IGD) is multifaceted and can have significant negative consequences. The present study examined the contribution of cognitive, metacognitive, motivational, and emotional factors as predictors for IGD severity. In a cross-sectional study, 703 Iranian adolescents (36.8% females, mean age = 16.98 years [SD = 1.23]) completed an online survey. Hierarchical regression analysis showed that the cognitive, metacognitive, motivational, and emotional factors predicted 7.8%, 17.4%, 1.4%, and 1.9% of the variance in IGD symptoms, respectively. The findings indicated that the cognitive factors including some maladaptive cognitions, such as cognitive salience, regret, and perfectionism, and metacognitive factors including some maladaptive metacognitions (negative metacognitions regarding the uncontrollability of online gaming and negative metacognitions regarding the dangers of online gaming) were significant predictors of IGD severity, highlighting their importance in understanding and predicting problematic gaming behaviors. Although contributing to the variance in IGD, motivational factors (escape, coping, and skill development) and emotional factors including emotion regulation (especially reappraisal) played relatively smaller roles compared to cognitive and metacognitive factors. Of the examined predictive factors, metacognitions were the most important predictor of IGD severity. Exploratory moderator analyses showed significant interactions between three predictors of IGD (reappraisal, negative metacognitions, and cognitive salience) with loneliness, stress, anxiety, and depressive symptoms. Reappraisal was the most frequent predictor and had a significant interaction with these variables. Other predictors independently impacted IGD irrespective of the level of loneliness, stress, anxiety, or depressive symptoms. Based on these findings, special attention to metacognitive, cognitive, emotional, and motivational factors is suggested in the treatment of IGD.
PubMed: 38954306
DOI: 10.1007/s11126-024-10075-w -
Translational Vision Science &... Jul 2024To identify the accelerometer-measured daily behaviors that mediate the association of refractive status with depressive disorders and enhance the understanding of...
PURPOSE
To identify the accelerometer-measured daily behaviors that mediate the association of refractive status with depressive disorders and enhance the understanding of behavioral differences in depression.
METHODS
Participants with baseline mean spherical equivalent (MSE) and 7-day accelerometer measurements from the UK Biobank were included in this cohort study. Refractive status was categorized as hyperopia and non-hyperopia. Four daily behaviors, including moderate to vigorous intensity physical activity (MVPA), light physical activity (LPA), sedentary, and sleep were recorded between 2013 and 2015. We also assessed 24-hour behavior patterns. Depression cases were defined through both questionnaires and hospital records over 10 years of follow-up.
RESULTS
Among 20,607 individuals, every 0.5-diopter increase in MSE was associated with a 6% higher risk of depressive disorders, with hyperopia participants at a higher risk than non-hyperopia participants (odds ratio, 1.14; 95% confidence interval, 1.05-1.23; P = 0.001). MVPA and sleep time significantly correlated with depressive disorders, with odds ratios of 0.79 and 1.14 (P < 0.05). MSE showed significant correlations with all four behaviors. The effects of MVPA and sleep duration on MSE and depressive disorders varied throughout the day. Mediation analyses showed that MVPA and sleep partially mediated the relationship between MSE and depressive disorders, with 35.2% of the association between moderate to high hyperopia and depression mediated by MVPA.
CONCLUSIONS
Physical activity and sleep significantly mediate the relationship between MSE and depressive disorders.
TRANSLATIONAL RELEVANCE
The mediation effect of MVPA highlights its therapeutic potential in reducing the risk of depression among individuals with moderate to severe hyperopia. Interventions aimed at increasing daytime MVPA and decreasing daytime sleep could enhance mental health in this vulnerable group.
Topics: Humans; Male; Female; Accelerometry; Middle Aged; Exercise; Depressive Disorder; Adult; Sleep; Aged; Sedentary Behavior; Surveys and Questionnaires; Hyperopia; Risk Factors
PubMed: 38953853
DOI: 10.1167/tvst.13.7.3 -
Frontiers in Genetics 2024Sleep is associated with psychiatric disorders. However, their causality remains unknown.
INTRODUCTION
Sleep is associated with psychiatric disorders. However, their causality remains unknown.
METHODS
The study explored the causal relationship between seven sleep parameters (sleep duration, insomnia, sleep apnea, chronotype, daytime dozing, napping during the day, and snoring) and three psychiatric disorders including major depressive disorder (MDD), schizophrenia, and attention-deficit/hyperactivity disorder (ADHD) using two-sample Mendelian randomization (MR). Genome-wide association study (GWAS) summary data for sleep parameters were obtained from the United Kingdom biobank, FinnGen biobank, and EBI databases. MR-Egger, weighted median, inverse-variance weighted (IVW), simple mode, weighted mode, maximum likelihood, penalized weighted median, and IVW(fixed effects) were used to perform the MR analysis. The heterogeneity was detected by Cochran's Q statistic. The horizontal pleiotropy was detected by MR Egger. The sensitivity was investigated by the leave-one-out analysis.
RESULTS
Insomnia (OR = 2.02, 95%CI = 1.34-3.03, = 0.001, False-discovery rate (FDR) corrected -value = 0.011) and napping during the day (OR = 1.81, 95%CI = 1.34-2.44, FDR corrected -value<0.001) were associated with an increased risk of MDD. Longer sleep duration (OR = 2.20, 95%CI = 1.24-3.90, FDR corrected -value = 0.049) had an association with the increased risk of schizophrenia, while daytime dozing (OR = 4.44, 95%CI = 1.20-16.41, corrected -value = 0.088)and napping during the day (OR = 2.11, 95%CI = 1.11-4.02, FDR corrected -value = 0.088) had a suggestive association with an increased risk of schizophrenia. Longer sleep duration had a suggestive association with a decreased risk of ADHD (OR = 0.66, 95%CI = 0.42-0.93, FDR corrected -value = 0.088).
CONCLUSION
This study provides further evidence for a complex relationship between sleep and psychiatric disorders. Our findings highlight the potential benefits of addressing sleep problems in the prevention of psychiatric disorders.
PubMed: 38952712
DOI: 10.3389/fgene.2024.1380544 -
Frontiers in Psychiatry 2024The prevalence of suicidal attempts among adolescents during COVID-19 significantly increased compared with pre-pandemic estimates. The aim of the study was to explore...
Demographic and clinical profile of adolescents suicide attempters admitted to an emergency department during the COVID-19 pandemic - a retrospective cohort study using hospital information system.
BACKGROUND
The prevalence of suicidal attempts among adolescents during COVID-19 significantly increased compared with pre-pandemic estimates. The aim of the study was to explore the demographic and clinical profile of adolescent suicide attempters admitted to the emergency department during the COVID-19 pandemic.
MATERIAL AND METHOD
The retrospective analysis included, on the basis of electronic medical records in the CliniNet system, sociodemographic and clinical data of patients aged 10-18 years with a diagnosis of suicide attempt. Follow-up period: from March 20, 2020 to May 16, 2023.
RESULTS
During the COVID-19 pandemic, there were 425 emergency department visits among adolescents aged 11-17 due to a suicide attempt, with the largest number in the 15-17 (69%) age range. The percentage of emergency department visits was higher among females (80%) and urban residents (75.3%). Self-poisoning was the most common cause of suicide attempts (52.4%), followed by self-harm (41.4%), hanging (3.2%) and jumping from a height (2.1%). The most common toxic substances in self-poisonings were antidepressants and antipsychotics, followed by paracetamol. About 70% of visits were associated with adolescent mental disorders, of which depressive disorder was the most common. One death per 425 visits was recorded (0.2%).
CONCLUSIONS
Adolescents attempting suicide during COVID-19 were most likely female, aged 15-17, city dwellers, undergoing psychiatric treatment mainly for depressive disorders. The mental health consequences of the pandemic may be more long term, and further monitoring will be needed in the years to come.
PubMed: 38952631
DOI: 10.3389/fpsyt.2024.1422008 -
Journal of Korean Medical Science Jul 2024Balancing parenting and work life poses challenges for women with children, potentially making them vulnerable to depression owing to their dual responsibilities....
BACKGROUND
Balancing parenting and work life poses challenges for women with children, potentially making them vulnerable to depression owing to their dual responsibilities. Investigating working mothers' mental health status is important on both the individual and societal levels. This study aimed to explore the relationship between economic activity participation and depressive symptoms among working mothers.
METHODS
This study was a cross-sectional study and used data from the Korea National Health and Nutrition Examination Survey collected in 2014, 2016, 2018, and 2020. The participants in the study were women aged 19 to 50 who were residing with their children. In the total, 3,151 participants were used in the analysis. The independent variable was economic activity, categorized into two groups: 1) economically active and 2) economically inactive. The dependent variable was the depressive symptoms, categorized as present for a Patient Health Questionnaire-9 score of ≥ 10 and absent for a score < 10. Multiple logistic regression analysis was performed to assess the association between economic activity and depressive symptoms, and sensitivity analyses were performed based on the severity of depressive symptoms.
RESULTS
Among women with children, economically active women had reduced odds ratio of depressive symptoms compared with economically inactive women (odds ratio [OR], 0.54; 95% confidence interval [CI], 0.36-0.80). In additional analysis, women working as wage earners had the lowest odds of depressive symptoms (OR, 0.43; 95% CI, 0.28-0.66). Women working an average of 40 hours or less per week were least likely to have depressive symptoms (OR, 0.42; 95% CI, 0.25-0.69).
CONCLUSION
Economic activity is significantly associated with depressive symptoms among women with children. Environmental support and policy approaches are needed to ensure that women remain economically active after childbirth.
Topics: Humans; Female; Depression; Adult; Cross-Sectional Studies; Republic of Korea; Mothers; Parenting; Young Adult; Middle Aged; Nutrition Surveys; Odds Ratio; Logistic Models; Child; Women, Working
PubMed: 38952345
DOI: 10.3346/jkms.2024.39.e192 -
Aging & Mental Health Jul 2024To determine a pooled prevalence of depression and its influencing factors among nursing home residents. (Review)
Review
OBJECTIVES
To determine a pooled prevalence of depression and its influencing factors among nursing home residents.
METHOD
PsycINFO, PubMed, Embase, and Web of Science were searched for studies investigating the prevalence and risk factors of late-life depression among nursing home residents between January 2012 and November 2022. Two reviewers independently completed the literature screening, data extraction and quality assessment. A random-effects model was utilized to pool the prevalence of depression and summarize the influencing factors.
RESULTS
This meta-analysis included 48 studies involving 28,501 participants. The pooled prevalence of depressive mood and major depressive disorder was 53% and 27%, respectively. The rate of depressive mood is higher in lower-middle-income countries (60.0%), compared with high- (53.0%) and upper-middle-income countries (44.0%). The rate of depressive mood (35.0%) is higher among females than male (19.0%). Depression was influenced by factors, including male ( = 0.28), insufficient income ( = 3.53), comorbidities ( = 2.66), pain ( = 2.67; = 0.31), functional disability ( = 0.33), loneliness ( = 0.43), number of chronic health problems ( = 0.18), social support ( = -0.28), activities of daily living ( = -0.43), subjective health ( = -0.28), autonomy ( = -0.41), environment ( = -0.50) and physical ( = -0.57) and psychological health ( = -0.65).
CONCLUSION
The prevalence of depressive mood is high among nursing home residents, especially in lower-middle-income countries. It is influenced by factors including gender, income, social support, daily activities, environment, physical and psychological health and autonomy. Understanding those factors can provide evidence-based recommendations for improved awareness, prevention and better management of late-life depression.
PubMed: 38952191
DOI: 10.1080/13607863.2024.2367044