Parental factors predicting social deviance and psychological outcomes in offspring: Evidence from the Avon Longitudinal Study of Parents and Children (ALSPAC).

Objective: The objective of the present study was to examine whether exposure to prenatal psychoactive substances is associated with psychological outcomes and deviant behaviour. Methods: This was a secondary analysis of 7,769 mother-child dyads in the Avon Longitudinal Study of Parents and Children (ALSPAC) who were followed until the children were aged approximately 12 years. Parental characteristics and maternal use of various substances were collected in pregnancy and entered as predictors of psychological outcomes in childhood and deviant behaviours in early adolescence. The psychological outcomes were IQ, social cognition, working memory and inhibition, while the deviant behaviours were threatening others, truancy and cruelty to animals. Weighted logistic regression models were used to predict deviant behaviours and weighted linear regression for the psychological outcomes. Results: High prenatal alcohol exposure predicted truancy and cruelty to animals. Tobacco exposure predicted lower IQ, a greater social communication deficit, lower working memory, truancy and threatening others. Illicit drugs predicted a higher social communication deficit and truancy. All prenatal substance exposures remained significant after adjustment for peer influences and covariate imbalance. Conclusion: Alcohol, tobacco and illicit drugs were associated with deviant behaviours in early adolescence and these behaviours were preceded by psychological deficits in childhood. The present study supports the guideline that no amount of alcohol is safe to consume in pregnancy and that tobacco and illicit drugs should be avoided.

Interpersonal sensitivity and response to selective serotonin reuptake inhibitors in patients with acute major depressive disorder.

BACKGROUND: Patients with major depression often suffer from excessive interpersonal sensitivity, although it is not typically measured in antidepressant clinical trials. Preliminary evidence suggests selective serotonin reuptake inhibitors have the capacity to reduce interpersonal sensitivity. METHODS: This was a pooled analysis of data from 1709 patients in three randomized, double-blind, placebo-controlled trials of fluoxetine and paroxetine for acute major depressive disorder. Depressive symptoms were assessed with the Hamilton Depression Rating Scale. A factor from the Symptom Checklist was used to assess interpersonal sensitivity. Our outcome of interest was change from baseline scores at the last assessment (up to 8 or 12 weeks, depending on the trial). RESULTS: Both medications produced significantly greater reductions in interpersonal sensitivity relative to placebo. The effect of medication remained significant after controlling for depression improvement, which explained 18.5% of the variation in interpersonal sensitivity improvement among those treated with active medication. The effect of medication on depressive symptoms, relative to placebo, was not influenced by baseline interpersonal sensitivity. LIMITATIONS: The outcome measured interpersonal sensitivity over the last week, and the results do not necessarily reflect changes in long-standing, trait-like patterns of interpersonal sensitivity. Only two medications were studied. CONCLUSIONS: Selective serotonin reuptake inhibitors are effective at treating interpersonal sensitivity in acutely depressed patients. This appears to be a unique drug effect that is not only the result of depression improvement. Future clinical trials might benefit from assessing interpersonal sensitivity more routinely.

The prevalence of poor sleep quality in the general population in China: a meta-analysis of epidemiological studies.

BACKGROUND: The high prevalence of poor sleep quality (PSQ) in the general population leads to negative health outcomes. Since estimates of PSQ prevalence in the Chinese general population vary widely, this meta-analysis aimed to refine these estimates and to identify moderating factors. METHODS: A comprehensive literature search was undertaken in both international (PubMed, PsycINFO, Web of Science, and EMBASE) and Chinese (Wanfang, and the China National Knowledge Infrastructure databases) databases from inception to 23 November 2023. Studies were required to have used standard scales such as the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). The pooled prevalence of PSQ and 95% confidence intervals (CIs) were calculated using a random-effects model. Subgroup and meta-regression analyses were performed to identify sources of heterogeneity. RESULTS: In 32 studies with a combined 376,824 participants, the pooled prevalence of PSQ was 19.0% (95% CI 15.8-22.8%; range 6.6-43.6%). Across 22 studies that reported PSQI data, the pooled mean score was 4.32 (95%CI 3.82-4.81; SD = 0.502). The pooled mean sleep duration across 8 studies was 7.62 (95% CI 7.23-8.00; SD = 0.194) hours. Subgroup analyses showed that lower education (Q = 4.12, P = 0.042), living in less developed regions (Q = 60.28, P < 0.001), and lower PSQI cutoff values (Q = 9.80, P = 0.007) were significantly associated with PSQ. Meta-regression analyses showed that study quality was inversely associated with estimated PSQ prevalence (ß = - 0.442, P = 0.004). LIMITATIONS: Although measures such as subgroup and meta-regression analyses were performed, substantial heterogeneity remained. Information related to sleep quality, such as comorbid physical diseases or psychiatric disorders, substance use, occupational types, and employment status, were not reported in most studies. CONCLUSION: One in five people in the general population of China may have PSQ and people with lower education or living in western regions may be more susceptible.

Using polygenic risk scores to investigate the evolution of smoking and mental health outcomes in UK biobank participants.

OBJECTIVE: Mendelian randomization studies report a bi-directional relation between cigarette smoking and mental disorders, yet from a clinical standpoint, mental disorders are the focus of treatment. Here, we used an event history framework to understand their evolution in the life course. Our objective was to estimate the relative contribution of genetic predispositions and self-reported smoking status (never, former, and present smoker) to hospitalizations for major depression, bipolar disorder, and schizophrenia. METHODS: We calculated polygenic risk scores (PRS) for ever smoking, pack-years of smoking as a proportion of adult life, and neuroticism in 337,140 UK Biobank participants of white British ancestry. These PRS and self-reported smoking status were entered as explanatory variables in survival models for hospitalization. RESULTS: The estimated single nucleotide polymorphisms heritabilities (h2 ) were 23%, 5.7%, and 5.7% for pack-years, ever smoking, and neuroticism respectively. PRS pack-years and PRS neuroticism were associated with higher hospitalization risk for mental disorders in all smoking status groups. The hazard for mental health hospitalization was higher in both previous (HR: 1.50, CI: 1.35-1.67) and current (HR: 3.58, 2.97-4.31) compared to never smokers, after adjusting for confounders. CONCLUSION: Since genetic liabilities for smoking and neuroticism are fixed at conception and smoking initiation generally started before age 20, our results show that preventing smoking in adolescents probably prevents the development of mental disorders.

Incidence rate of schizophrenia after the Tangshan earthquake in China: a 44-year retrospective birth cohort study.

Preliminary evidence indicates that natural disasters are associated with an increased risk for schizophrenia. With few longitudinal studies on earthquakes, this retrospective cohort study examined exposure to the 1976 Tangshan earthquake and the subsequent risk of schizophrenia. Population counts and visits to all nine psychiatric hospitals in Tangshan city were collected. We created three cohort groups by earthquake exposure: infant (August 1972 to July 1976 births), fetal (August 1976 to May 1977 births), and unexposed (June 1977 to May 1981 births). The cumulative incidence of schizophrenia in each cohort was calculated by dividing the number of schizophrenia patients by total births in the corresponding period. Altogether, 6424 schizophrenia patients were identified, with 2786 in the infant group, 663 in the fetal group, and 2975 in the unexposed group. The crude cumulative incidence of schizophrenia in the infant, fetal and unexposed groups were 7.64 (95% confidence interval [CI] = 7.36-7.92), 9.07 (95% CI = 8.38-9.76), and 7.40 (95% CI = 7.13-7.66) per thousand population respectively. Adjusted for mortality, the corresponding figures were 7.73 (95% CI = 7.44-8.01), 9.30 (95% CI = 8.60-10.01) and 7.44 (95% CI = 7.18-7.71) per thousand population respectively. The mortality-adjusted risk ratio (aRR) was 1.25 (95% CI = 1.15-1.36) between fetal and unexposed groups (χ2 = 27.31, P < 0.001). Males exposed as infants did not differ from the unexposed in cumulative schizophrenia incidence. People with fetal exposure to the 1976 earthquake had 25% higher risk of developing schizophrenia compared to unexposed counterparts.

The backbone symptoms of depression: a network analysis after the initial wave of the COVID-19 pandemic in Macao.

Background: The coronavirus disease 2019 (COVID-19) pandemic disrupted the working lives of Macau residents, possibly leading to mental health issues such as depression. The pandemic served as the context for this investigation of the network structure of depressive symptoms in a community sample. This study aimed to identify the backbone symptoms of depression and to propose an intervention target. Methods: This study recruited a convenience sample of 975 Macao residents between 20th August and 9th November 2020. In an electronic survey, depressive symptoms were assessed with the Patient Health Questionnaire-9 (PHQ-9). Symptom relationships and centrality indices were identified using directed and undirected network estimation methods. The undirected network was constructed using the extended Bayesian information criterion (EBIC) model, and the directed network was constructed using the Triangulated Maximally Filtered Graph (TMFG) method. The stability of the centrality indices was evaluated by a case-dropping bootstrap procedure. Wilcoxon signed rank tests of the centrality indices were used to assess whether the network structure was invariant between age and gender groups. Results: Loss of energy, psychomotor problems, and guilt feelings were the symptoms with the highest centrality indices, indicating that these three symptoms were backbone symptoms of depression. The directed graph showed that loss of energy had the highest number of outward projections to other symptoms. The network structure remained stable after randomly dropping 50% of the study sample, and the network structure was invariant by age and gender groups. Conclusion: Loss of energy, psychomotor problems and guilt feelings constituted the three backbone symptoms during the pandemic. Based on centrality and relative influence, loss of energy could be targeted by increasing opportunities for physical activity.

Emotional blunting with bupropion and serotonin reuptake inhibitors in three randomized controlled trials for acute major depressive disorder.

BACKGROUND: Emotional blunting is theorized to be an adverse effect of antidepressants, particularly serotonin reuptake inhibitors, but this has not been firmly established. Another possibility is that emotional blunting represents a residual depressive symptom. METHODS: We analyzed data from adult outpatients with acute major depressive disorder who participated in three 8-week randomized controlled trials. Trials 1 and 2 were pooled (venlafaxine, n = 378; bupropion, n = 389; placebo, n = 383) and Trial 3 (escitalopram, n = 254; bupropion, n = 260) was analyzed separately. Emotional blunting was measured with the "inability to feel" item from the Montgomery-Åsberg Depression Rating Scale. RESULTS: Emotional responsiveness improved, on average, in all treatment groups. Only a minority of participants (≤6 %) experienced more emotional blunting post-treatment, compared to baseline, with no significant differences between treatment groups, although roughly 20-25 % continued to report an inability to feel normal emotions at the final assessment. In Trials 1 and 2, emotional blunting was associated with poorer outcomes in terms of depressive symptoms, suicidal ideation, and sexual function, but these correlations were nearly identical in the placebo group. LIMITATIONS: The trials were short and cannot speak to the possibility of emotional blunting from long-term treatment. Emotional blunting was measured with a single item. CONCLUSIONS: The study medications did not significantly decrease emotional responsiveness, and there was no evidence that emotional blunting mediated treatment response. In acute treatment, emotional blunting may be better conceptualized as a residual symptom than as an adverse drug effect.

Medication Gaps and Antipsychotic Polypharmacy in Previously Hospitalized Schizophrenia Patients: An Electronic Cohort Study in Three Canadian Provinces.

Background: Real world evidence about antipsychotics focuses on rehospitalization. Modeling the time course of pharmacotherapy would show patients' adherence to medications and physicians' adherence to medication guidelines. We aimed to calculate the cumulative time spent in second generation antipsychotics (SGAs), gaps, antipsychotic polypharmacy, and clozapine in discharged schizophrenia patients. Methods: Hospitalization and pharmacy dispensing data from 2008-2018 in Manitoba, Saskatchewan, and British Columbia were linked and an electronic cohort (N = 2,997) was created (mean follow-up: 49 months, SD = 38). Cohort members were required to have a minimum of 6 weeks medicated with aripiprazole, olanzapine, paliperidone, quetiapine, risperidone, or ziprasidone. Results: The multistate model predicted that schizophrenia patients accumulated 44 months in SGA monotherapy, 4 months in polypharmacy, 11 months in medication gaps and 17 days in clozapine over a 5-year period. The majority of transitions were between SGA and medication gap. Accumulated time in medication gaps was seven times as much as in clozapine. Each 10% delay in SGA initiation post-discharge was associated with a 2, 1, and 6% higher risk for polypharmacy (95% CI: 1.01-1.02), gap (95% CI: 1.01-1.01), and clozapine (95% CI: 1.04-1.08), respectively. Interpretation: Schizophrenia patients accumulated more time unmedicated and in polypharmacy compared to clozapine. Either treatment guidelines for schizophrenia are not followed, or real-world challenges hamper their implementation.

The prevalence of internet addiction and its association with quality of life among clinically stable patients with major depressive disorder.

BACKGROUND: Internet addiction (IA) is associated with mental health problems but its impact on quality of life (QOL) is understudied. We examined the prevalence of IA and its association with QOL in clinically stable patients with major depressive disorder (MDD). METHODS: In a cross-sectional survey between September 2020 and July 2021, the Young's Internet Addiction Test (IAT), the Patient Health Questionnaire-2 (PHQ-2) and the World Health Organization Quality of Life Brief version scale (WHOQOL-BREF) were administered to 1267 patients with MDD. Logistic regression was used to examine the correlates of IA, while analysis of covariance (ANCOVA) was used to examine the association between IA and QOL." RESULTS: The prevalence of IA (IAT total scores ≥50) was 27.2 % (95 % CI: 24.7 %-29.6 %) in MDD patients. Compared to patients without IA, those with IA had lower QOL (F(1, 1267) = 19.1, P < 0.001). Logistic regression revealed that higher education (senior high school and above; OR = 1.85, 95 % CI: 1.13-3.03), family history of psychiatric disorders (OR = 1.72, 95 % CI: 1.08-2.73), and higher PHQ-2 total score (OR = 1.23, 95 % CI: 1.14-1.32) were positively associated with IA while older age (OR = 0.93, 95 % CI: 0.91-0.96) was inversely related to IA. CONCLUSION: IA is much more common in clinically stable patients with MDD compared to the reported figures in the general population. It would be prudent to screen and monitor internet use in MDD patients and treat those with IA.

Suicidality in clinically stable bipolar disorder and schizophrenia patients during the COVID-19 pandemic.

The coronavirus disease 2019 (COVID-19) pandemic has a disproportionate impact on vulnerable subpopulations, including those with severe mental illness (SMI). This study examined the one-year prevalence of suicidal ideation (SI), suicide plans (SP), and suicide attempts (SA) in bipolar disorder (BD) and schizophrenia (SCZ) patients during the pandemic. Prevalence rates were compared between the two disorders and associated factors were examined. A survey was conducted in six tertiary psychiatric hospitals and psychiatric units. People with a diagnosis of BD or SCZ were invited to participate. SI, SP, and SA (suicidality for short) were assessed and associated factors were examined using binary logistical regression. The 1-year prevalence of SI, SP and SA in BD patients were 58.3%, (95% CI: 54.1-62.6%), 38.4% (95% CI: 34.3-42.6%) and 38.6% (95% CI: 34.5-42.8%), respectively, which were higher than the corresponding figures in SCZ patients (SI: 33.2%, 95% CI: 28.6-37.8%; SP: 16.8%, 95% CI: 13.2-20.5%; SA: 19.4%, 95% CI: 15.5-23.3%). Patients with younger age, experience of cyberbullying, a history of SA among family or friends, a higher fatigue and physical pain score, inpatient status, and severe depressive symptoms were more likely to have suicidality. The COVID-19 pandemic was associated with increased risk of suicidality, particularly in BD patients. It is of importance to regularly screen suicidality in BD and SCZ patients during the pandemic even if they are clinically stable.

Research on major depression in China: A perspective from bibliometric analysis.

BACKGROUND: Major depressive disorder (MDD) is a major psychiatric disorder with increasing research intensity. However, papers written in languages other than English are less accessible to international readers. This study examined the bibliometric features of English and Chinese language research papers about major depressive disorder in China. METHODS: The Web of Science (WoS) and China National Knowledge Infrastructure (CNKI) databases were searched for eligible studies. Authorship collaboration networks and keyword co-occurrences were estimated and visualized. RESULTS: There were 2,220 and 63,306 publications on MDD in the WoS and CNKI between 1990 and 2021, respectively. The number of papers increased annually during the period. For papers written in English, the Journal of Affective Disorders (201; 9.05 %) had the highest activity and the Shanghai Jiao Tong University had the most publications (232; 10.45 %). For papers in Chinese, the highest activity was with the Journal of Clinical Psychiatry (1,025; 1.62 %) and the Beijing University of Chinese Medicine (1,098; 1.73 %). Xiang YT (68; 3.06 %) and Yuan YG (179; 0.28 %) were the most productive authors in the English and Chinese languages, respectively. Keyword analysis showed that English and Chinese publications differed in emphasis (English: related psychiatric conditions, study design, clinical aspects, and assessment instruments; Chinese: somatic comorbidities, antidepressants, related psychiatric conditions, treatment of depression, and electrophysiological). CONCLUSIONS: The number of scientific papers on MDD increased yearly, and Chinese authors writing in English have an increasing influence. Except for a few authors, productivity and influence were dominated by national universities and specialized medical universities.

Identifying long-term and imminent suicide predictors in a general population and a clinical sample with machine learning.

BACKGROUND: Machine learning (ML) is increasingly used to predict suicide deaths but their value for suicide prevention has not been established. Our first objective was to identify risk and protective factors in a general population. Our second objective was to identify factors indicating imminent suicide risk. METHODS: We used survival and ML models to identify lifetime predictors using the Cohort of Norway (n=173,275) and hospital diagnoses in a Saskatoon clinical sample (n=12,614). The mean follow-up times were 17 years and 3 years for the Cohort of Norway and Saskatoon respectively. People in the clinical sample had a longitudinal record of hospital visits grouped in six-month intervals. We developed models in a training set and these models predicted survival probabilities in held-out test data. RESULTS: In the general population, we found that a higher proportion of low-income residents in a county, mood symptoms, and daily smoking increased the risk of dying from suicide in both genders. In the clinical sample, the only predictors identified were male gender and older age. CONCLUSION: Suicide prevention probably requires individual actions with governmental incentives. The prediction of imminent suicide remains highly challenging, but machine learning can identify early prevention targets.

Instability of Suicidal Ideation in Patients Hospitalized for Depression: An Exploratory Study Using Smartphone Ecological Momentary Assessment.

This study used ecological momentary assessment (EMA) to explore the correlates of suicidal ideation (SI) instability in patients hospitalized for depression and SI. Thirty-nine adult inpatients were given smartphones with visual analogue scales to rate current depressed mood, anger/irritability, feeling socially connected, and SI three times a day throughout hospitalization. Affective Lability Scales (ALS) were also completed at baseline. SI instability was correlated with SI intensity, depressed mood instability, and social connection instability. Social connection instability was not associated with SI instability after controlling for depressed mood instability. ALS scores were not associated with EMA-derived SI instability. Participants with multiple past suicide attempts experienced greater SI instability. More research examining the clinical significance of SI instability is warranted.

Fear of Infection and the Common Good: COVID-19 and the First Italian Lockdown.

In the first quarter of 2020, Italy became one of the earliest hotspots of COVID-19 infection, and the government imposed a lockdown. During the lockdown, an online survey of 2053 adults was conducted that asked about health behaviors and about the psychological and overall impact of COVID-19. The present study is a secondary analysis of that data. We hypothesized that self-control, higher socio-economic status, existing health conditions, and fear of infection were all inversely related to actions (or intentions) that violated the lockdown (i.e., infractions). Using partial least squares structural equation modeling (PLS-SEM), we found that only the fear of infection significantly dissuaded people from violating lockdown rules. Since it is not practical or ethical to sow a fear of infection, our study indicates that enacting rules and enforcing them firmly and fairly are important tools for containing the infection. This may become more important as vaccines become more widely available and people lose their fear of infection.

Mood instability, depression, and anxiety in pregnancy and adverse neonatal outcomes.

BACKGROUND: Antenatal women experience an increased level of mood and anxiety symptoms, which have negative effects on mothers' mental and physical health as well as the health of their newborns. The relation of maternal depression and anxiety in pregnancy with neonate outcomes is well-studied with inconsistent findings. However, the association between antenatal mood instability (MI) and neonatal outcomes has not been investigated even though antenatal women experience an elevated level of MI. We sought to address this gap and to contribute to the literature about pregnancy neonate outcomes by examining the relationship among antenatal MI, depression, and anxiety and neonatal outcomes. METHODS: A prospective cohort of women (n = 555) participated in this study at early pregnancy (T1, 17.4 ± 4.9 weeks) and late pregnancy (T2, 30.6 ± 2.7 weeks). The Edinburgh Postnatal Depression Scale (EPDS) was used to assess antenatal depressive symptoms, anxiety was measured by the EPDS anxiety subscale, and mood instability was measured by a visual analogue scale with five questions. These mood states together with stress, social support, as well as lifestyle were also examined in relation to neonatal outcomes using chi-square tests and logistic regression models. RESULTS: Mood instability, depression, and anxiety were unrelated to adverse neonatal outcomes. Only primiparous status was associated with small for gestational age after Bonferroni correction. CONCLUSIONS: We report no associations between antenatal mood symptoms including MI, depression, and anxiety and neonatal outcomes. More studies are required to further explore the relationship between antenatal mood instability, depression, and anxiety and neonatal outcomes.

Sleep Disturbances and the Risk of Incident Suicidality: A Systematic Review and Meta-Analysis of Cohort Studies.

OBJECTIVE: The association between sleep disturbances and suicidality is not well understood partly because of the variability in research results. This meta-analysis aimed to investigate the predictive value of sleep disturbances for incident suicidality. METHODS: A systematic search was conducted in PubMed, EMBASE, PsycINFO, and Web of Science databases for studies examining sleep disturbances and incident suicidality. Cohort studies were screened following a registered protocol, and the eligible ones were meta-analyzed. RESULTS: Seven studies comprising 1,570,181 individuals at baseline, with 1407 attempting suicide and 1023 completing suicide during follow-up, were included. Individuals with baseline sleep disturbances had a significantly higher incidence of suicidality than did those without (relative risk = 2.17, 95% confidence interval [CI] = 1.45-3.24, I2 = 82.50%, p < .001). The risk of an incident suicide attempt was 3.54-fold higher (95% CI = 3.07-4.09, I2 = 0%, p = .44), whereas the risk of incident completed suicide was 1.80-fold higher (95% CI = 1.32-2.44, I2 = 59.33%, p = .01) in individuals with baseline sleep disturbances. CONCLUSIONS: Incident suicide attempts and deaths are higher among people with sleep disturbances. Regular screening and preventive measures should be undertaken for people with sleep disturbances to prevent progression into suicide attempts and deaths.Clinical Trial Registration:CRD42019136397.

Lamotrigine for acute bipolar depression: An exploratory item-level analysis.

OBJECTIVES: Lamotrigine is used to treat bipolar depression despite inconsistent evidence. Here we present the results of an exploratory item-level analysis of pooled data from five randomized placebo-controlled trials of lamotrigine for acute bipolar depression. The goal was to determine if certain depression scale items were more responsive to lamotrigine treatment. METHODS: The pooled sample contained 1072 adult outpatients treated for up to 7-10 weeks. Depressive symptoms were measured with the Hamilton Depression Rating Scale and the Montgomery-Åsberg Depression Rating Scale. Change scores on individual scale items were compared between treatment groups. RESULTS: There were statistically significant effects on items assessing depressed mood/sadness, lack of interest/anhedonia, pessimism/guilt, and anergia/fatigue, on both scales. However, there was marked variation in the baseline symptom prevalence, and items with higher scores at baseline tended to have larger and statistically significant treatment effects. CONCLUSIONS: The results suggested a significant treatment effect on core symptoms of depression. A floor effect appeared to limit the sensitivity of other scale items. Given the exploratory nature of the analysis, firm conclusions cannot be drawn, although the results were consistent with past research. Relying on total depression scale sum scores over targeted assessments of core depressive symptoms may have impeded signal detection in the original trials.

Prevalence of suicidal ideation and planning in patients with major depressive disorder: A meta-analysis of observation studies.

BACKGROUND: Suicidal ideation (SI) and suicide planning (SP) are associated with an increased risk of future suicide. We performed a meta-analysis of observational studies to estimate the prevalence of SI and SP in patients with major depressive disorder (MDD) and its associated factors. METHODS: A systematic literature search was conducted in PubMed, EMBASE, PsycINFO and Web of Science from their commencement date until 7 October 2020. Original studies containing data on the prevalence of SI and SP in individuals with MDD were analyzed. RESULTS: Forty-six articles covering 53,598 patients were included in the meta-analysis. The overall prevalence of SI was 37.7% (95% confidence interval (CI): 32.3-43.4%) and the pooled prevalence of SP was 15.1% (95% CI: 8.0--26.8%). Subgroup analyses revealed that the timeframe over which SI was assessed, source of patients, study design, and diagnostic criteria were significantly associated with the pooled prevalence of SI. Meta-regression analyses revealed that the Hamilton Depression Rating Scale (HAMD) score and percentage of male participants were positively associated with the pooled prevalence of SI. Study quality and mean age were negatively associated with the pooled prevalence of SI. In contrast, survey year and study quality were negatively associated with pooled prevalence of SP LIMITATION: SI and SP were self-reported and subject to recall bias and impression management. CONCLUSIONS: SI and SP are common in patients with MDD, especially among inpatients. Preventive measures and treatments focusing on factors associated with SI and SP may reduce the risk of suicide in patients with MDD.

Melancholic Features in Bipolar Depression and Response to Lamotrigine: A Pooled Analysis of Five Randomized Placebo-Controlled Trials.

BACKGROUND: A pilot study suggested lamotrigine may be more effective for bipolar depression with melancholic features. We tested this hypothesis in a pooled analysis of 5 randomized double-blind placebo-controlled trials of lamotrigine for acute bipolar depression. METHODS: The pooled sample consisted of 1072 adult outpatients. Depressive symptoms were assessed for 7 to 10 weeks with the Hamilton Depression Rating Scale and the Montgomery-Åsberg Depression Rating Scale. The outcome measure was end-trial response (score reduction ≥ 50%). Melancholic features were assessed with both the Structured Clinical Interview for DSM-IV and baseline depression scale items, according to DSM criteria. RESULTS: The item-based melancholic specifier was associated with numerically larger treatment effects, although subgroup-treatment interactions in logistic regression models did not reach statistical significance. The small subgroup of patients with severe psychomotor retardation also appeared to benefit from lamotrigine. However, the Structured Clinical Interview for DSM-IV melancholic specifier was not associated with larger treatment effects. Baseline depression severity was inconsistently associated with response, depending on which scale was used to define severity. The 2 melancholia variables had poor agreement despite having similar prevalences. CONCLUSIONS: Our results do not clearly support the original hypothesis but do reinforce the importance of replicating secondary analyses of clinical trials with additional data.

Quality of life in Parkinson's disease: A systematic review and meta-analysis of comparative studies.

BACKGROUND: Studies regarding the impact of Parkinson's disease (PD) on quality of life (QOL) have reported conflicting results, and the underlying QOL domains require further study. In order to understand the association between PD and QOL, we conducted this meta-analysis to systematically compare QOL between PD patients and healthy controls. METHOD: The PubMed, PsycINFO, EMBASE, and Web of Science databases were systematically searched. Data were analyzed using the random-effects model. RESULTS: Twenty studies covering 2707 PD patients and 150,661 healthy controls were included in the study. Compared with healthy controls, PD patients had significantly poorer QOL overall and in most domains with moderate to large effects sizes. Different QOL measures varied in their association with quality of life, with the Parkinson's Disease Questionnaire-39 (PDQ-39) having the largest effect size (standard mean difference, SMD = -1.384, 95% CI: -1.607, -1.162, Z = 12.189, P < 0.001), followed by the Europe Quality of Life Questionnaire-visual analogue scale (EQ-VAS) (SMD = -1.081, 95% CI: -1.578, -0.584, Z = -4.265, P < 0.001), Europe Quality of Life Questionnaire-5D (EQ-5D) (SMD = -0.889, 95% CI: -1.181, -0.596, Z = -5.962, P < 0.001), and the Short-form Health Survey (SF) scales (physical dimension: SMD = -0.826, 95% CI: -1.529, -0.123, Z = -2.303, P = 0.021; mental dimension: SMD = -0.376, 95% CI: -0.732, -0.019, Z = -2.064, P = 0.039). CONCLUSION: PD patients had lower QOL compared with healthy controls in most domains, especially in physical function and mental health. Considering the negative impact of poor QOL on daily life and functional outcomes, effective measures should be developed to improve QOL in this population.