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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 -
Tropical Medicine and Health Jul 2024The enduring COVID-19 pandemic has had persistent, intermittent socioeconomic impacts on migrants. This raises the concern that many Vietnamese migrants in Japan may...
INTRODUCTION
The enduring COVID-19 pandemic has had persistent, intermittent socioeconomic impacts on migrants. This raises the concern that many Vietnamese migrants in Japan may have developed mental health issues due to the socioeconomic impact. The study aimed to examine changes in the socio-economic and mental health status of Vietnamese migrants in Japan and factors affecting mental health status during the early to mid-COVID-19 period.
METHODS
We conducted a prospective cohort study among Vietnamese migrants in Japan from September to October 2021 (baseline) and from May to June 2022 (follow-up) using an online questionnaire. Multiple linear regression analyses were conducted to examine the association between changes in socioeconomic status and alterations in symptoms of depression and anxiety within this demographic.
RESULTS
The mean age of the 159 participants was 26.1 ± 4.9 years, with a mean length of residency in Japan of 4.0 ± 4.1 years. The mean PHQ-9 score exhibited a significant decrease from 7.89 (SD = 6.34) to 6.62 (SD = 5.87) (p = 0.01). Variables associated with changes in depression and anxiety included subjective socioeconomic status (unstandardized partial regression coefficient (UPRC): 1.901, 95% confidence interval (CI) 0.30 to 3.50, p = 0.02) and (UPRC: 2.060, 95% CI 0.80 to 3.32, p = 0.002), as well as changes in having someone with whom to discuss one's health (UPRC: 2.689, 95% CI 0.89 to 4.49, p = 0.004) and (UPRC: 1.955, 95% CI 0.54 to 3.38, p = 0.007).
CONCLUSIONS
In this prospective cohort study of depression and anxiety, depressive symptoms among Vietnamese migrants decreased from 2021 to 2022. Key findings underscore the importance of socioeconomic status improvement and having someone to discuss to about their health as protective factors against mental health challenges. Employment and social support have emerged as crucial determinants of mental health among Vietnamese migrants in Japan, emphasizing the necessity for comprehensive support strategies addressing both economic vulnerabilities and social connectedness.
PubMed: 38951851
DOI: 10.1186/s41182-024-00605-4 -
Molecular Psychiatry Jun 2024Previous investigations have revealed performance deficits and altered neural processes during working-memory (WM) tasks in major depressive disorder (MDD). While most...
Previous investigations have revealed performance deficits and altered neural processes during working-memory (WM) tasks in major depressive disorder (MDD). While most of these studies used task-based functional magnetic resonance imaging (fMRI), there is an increasing interest in resting-state fMRI to characterize aberrant network dynamics involved in this and other MDD-associated symptoms. It has been proposed that activity during the resting-state represents characteristics of brain-wide functional organization, which could be highly relevant for the efficient execution of cognitive tasks. However, the dynamics linking resting-state properties and task-evoked activity remain poorly understood. Therefore, the present study investigated the association between spontaneous activity as indicated by the amplitude of low frequency fluctuations (ALFF) at rest and activity during an emotional n-back task. 60 patients diagnosed with an acute MDD episode, and 52 healthy controls underwent the fMRI scanning procedure. Within both groups, positive correlations between spontaneous activity at rest and task-activation were found in core regions of the central-executive network (CEN), whereas spontaneous activity correlated negatively with task-deactivation in regions of the default mode network (DMN). Compared to healthy controls, patients showed a decreased rest-task correlation in the left prefrontal cortex (CEN) and an increased negative correlation in the precuneus/posterior cingulate cortex (DMN). Interestingly, no significant group-differences within those regions were found solely at rest or during the task. The results underpin the potential value and importance of resting-state markers for the understanding of dysfunctional network dynamics and neural substrates of cognitive processing.
PubMed: 38951625
DOI: 10.1038/s41380-024-02647-w -
Neuropsychopharmacology : Official... Jul 2024Treatment outcomes widely vary for individuals diagnosed with major depressive disorder, implicating a need for deeper understanding of the biological mechanisms... (Review)
Review
Treatment outcomes widely vary for individuals diagnosed with major depressive disorder, implicating a need for deeper understanding of the biological mechanisms conferring a greater likelihood of response to a particular treatment. Our improved understanding of intrinsic brain networks underlying depression psychopathology via magnetic resonance imaging and other neuroimaging modalities has helped reveal novel and potentially clinically meaningful biological markers of response. And while we have made considerable progress in identifying such biomarkers over the last decade, particularly with larger, multisite trials, there are significant methodological and practical obstacles that need to be overcome to translate these markers into the clinic. The aim of this review is to review current literature on brain network structural and functional biomarkers of treatment response or selection in depression, with a specific focus on recent large, multisite trials reporting predictive accuracy of candidate biomarkers. Regarding pharmaco- and psychotherapy, we discuss candidate biomarkers, reporting that while we have identified candidate biomarkers of response to a single intervention, we need more trials that distinguish biomarkers between first-line treatments. Further, we discuss the ways prognostic neuroimaging may help to improve treatment outcomes to neuromodulation-based therapies, such as transcranial magnetic stimulation and deep brain stimulation. Lastly, we highlight obstacles and technical developments that may help to address the knowledge gaps in this area of research. Ultimately, integrating neuroimaging-derived biomarkers into clinical practice holds promise for enhancing treatment outcomes and advancing precision psychiatry strategies for depression management. By elucidating the neural predictors of treatment response and selection, we can move towards more individualized and effective depression interventions, ultimately improving patient outcomes and quality of life.
PubMed: 38951585
DOI: 10.1038/s41386-024-01907-1 -
Community Mental Health Journal Jul 2024Global Burden of Disease (GBD) estimates have significant policy implications nationally and internationally. Disease burden metrics, particularly for depression, have...
Global Burden of Disease (GBD) estimates have significant policy implications nationally and internationally. Disease burden metrics, particularly for depression, have played a critical role in raising governmental awareness of mental health and in calculating the economic cost of depression. Recently, the World Health Organization ranked depression as the single largest contributor to global disability. The main aim of this paper was to assess the basis upon which GBD prevalence estimates for major depressive disorder (MDD) were made. We identify the instruments used in the 2019 GBD estimates and provide a descriptive assessment of the five most frequently used instruments. The majority of country studies, 356/566 (62.9%), used general mental health screeners or structured/semi-structured interview guides, 98/566 (17.3%) of the studies used dedicated depression screeners, and 112 (19.8%) used other tools for assessing depression. Thus, most of the studies used instruments that were not designed to make a diagnosis of depression or assess depression severity. Our results are congruent with and extend previous research that has identified critical flaws in the data underpinning the GBD estimates for MDD. Despite the widespread promotion of these prevalence estimates, caution is needed before using them to inform public policy and mental health interventions. This is particularly important in lower-income countries where resources are scarce.
PubMed: 38951416
DOI: 10.1007/s10597-024-01302-6