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Evidence-based Mental Health Nov 2022Effective prevention of suicide requires a comprehensive understanding of risk factors. (Meta-Analysis)
Meta-Analysis
QUESTION
Effective prevention of suicide requires a comprehensive understanding of risk factors.
STUDY SELECTION AND ANALYSIS
Five databases were systematically searched to identify psychological autopsy studies (published up to February 2022) that reported on risk factors for suicide mortality among adults in the general population. Effect sizes were pooled as odds ratios (ORs) using random-effects models for each risk factor examined in at least three independent samples.
FINDINGS
A total of 37 case-control studies from 23 countries were included, providing data on 40 risk factors in 5633 cases and 7101 controls. The magnitude of effect sizes varied substantially both between and within risk factor domains. Clinical factors had the strongest associations with suicide, including any mental disorder (OR=13.1, 95% CI 9.9 to 17.4) and a history of self-harm (OR=10.1, 95% CI 6.6 to 15.6). By comparison, effect sizes were smaller for other domains relating to sociodemographic status, family history, and adverse life events (OR range 2-5).
CONCLUSIONS
A wide range of predisposing and precipitating factors are associated with suicide among adults in the general population, but with clear differences in their relative strength.
PROSPERO REGISTRATION NUMBER
CRD42021232878.
Topics: Adult; Humans; Autopsy; Self-Injurious Behavior; Risk Factors; Mental Disorders; Suicide Prevention
PubMed: 36162975
DOI: 10.1136/ebmental-2022-300549 -
JAMA Network Open Oct 2023Mental disorders among children and adolescents are global health concerns. Published studies have provided discordant results regarding treatment rates for mental... (Meta-Analysis)
Meta-Analysis
IMPORTANCE
Mental disorders among children and adolescents are global health concerns. Published studies have provided discordant results regarding treatment rates for mental disorders among youths.
OBJECTIVE
To estimate combined treatment rates for several common psychiatric disorders among children and adolescents.
DATA SOURCES
PubMed, Web of Science, PsycINFO, Scopus, and Embase were searched from database inception until September 23, 2022, and supplemented with hand-searching of reference lists.
STUDY SELECTION
Included studies were those that used validated methods to report treatment rates for any mental disorder, depressive disorders, anxiety disorders, attention-deficit/hyperactivity disorder (ADHD), and behavior disorders among children and adolescents.
DATA EXTRACTION AND SYNTHESIS
This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline. Two reviewers independently assessed study eligibility, extracted data, and scored quality. Studies with a Joanna Briggs Institute score of 5 or more were included in the meta-analysis. Treatment rates were pooled using random-effects models. Subgroup analyses were performed to investigate the association with treatment rates of factors, such as year of data collection, World Health Organization region, age, income level, timeframe of diagnosis, informant source, service type, sample origin, and internalizing or externalizing disorder.
MAIN OUTCOMES AND MEASURES
Treatment rates for mental disorders among children and adolescents were the main outcomes, measured as percentage estimates.
RESULTS
Forty studies were included in the analysis, comprising 310 584 children and adolescents, with boys accounting for 39% of participants (sex was not reported in 10 studies). The pooled treatment rate was 38% (95% CI, 30%-45%) for any mental disorder, 36% (95% CI, 29%-43%) for depressive disorders, 31% (95% CI, 21%-42%) for anxiety disorders, 58% (95% CI, 42%-73%) for ADHD, and 49% (95% CI, 35%-64%) for behavior disorders. Age, income level, and region were significantly associated with the combined treatment rates of mental disorders in children and adolescents. The treatment rate for depressive disorders was higher among adolescents than children (36% [95% CI, 25%-46%] vs 11% [95% CI, 0%-25%]), whereas the treatment rate for anxiety disorders was higher among children than adolescents (64% [95% CI, 52%-75%] vs 20% [95% CI, 9%-30%]). The treatment rate for any mental disorder in lower-middle income countries was 6% (95% CI, 2%-14%), in upper-middle income countries was 24% (95% CI, 2%-47%), and in high-income countries was 43% (95% CI, 35%-52%). For depressive disorders, treatment rates were higher in the Americas (40% [95% CI, 30%-51%]) than in Europe (28% [95% CI, 13%-43%]) and the Western Pacific region (6% [95% CI, 1%-16%]).
CONCLUSIONS AND RELEVANCE
This study suggests that, in general, the treatment rates for mental disorders among children and adolescents were low, especially for depression and anxiety. Targeted intervention policies and effective measures should be designed and implemented to improve treatment rates of psychiatric disorders among youths.
Topics: Male; Adolescent; Child; Humans; Anxiety Disorders; Anxiety; Attention Deficit Disorder with Hyperactivity; Conduct Disorder; Combined Modality Therapy
PubMed: 37851443
DOI: 10.1001/jamanetworkopen.2023.38174 -
Translational Psychiatry Mar 2024There is widespread overlap across major psychiatric disorders, and this is the case at different levels of observations, from genetic variants to brain structures and...
There is widespread overlap across major psychiatric disorders, and this is the case at different levels of observations, from genetic variants to brain structures and function and to symptoms. However, it remains unknown to what extent these commonalities at different levels of observation map onto each other. Here, we systematically review and compare the degree of similarity between psychiatric disorders at all available levels of observation. We searched PubMed and EMBASE between January 1, 2009 and September 8, 2022. We included original studies comparing at least four of the following five diagnostic groups: Schizophrenia, Bipolar Disorder, Major Depressive Disorder, Autism Spectrum Disorder, and Attention Deficit Hyperactivity Disorder, with measures of similarities between all disorder pairs. Data extraction and synthesis were performed by two independent researchers, following the PRISMA guidelines. As main outcome measure, we assessed the Pearson correlation measuring the degree of similarity across disorders pairs between studies and biological levels of observation. We identified 2975 studies, of which 28 were eligible for analysis, featuring similarity measures based on single-nucleotide polymorphisms, gene-based analyses, gene expression, structural and functional connectivity neuroimaging measures. The majority of correlations (88.6%) across disorders between studies, within and between levels of observation, were positive. To identify a consensus ranking of similarities between disorders, we performed a principal component analysis. Its first dimension explained 51.4% (95% CI: 43.2, 65.4) of the variance in disorder similarities across studies and levels of observation. Based on levels of genetic correlation, we estimated the probability of another psychiatric diagnosis in first-degree relatives and showed that they were systematically lower than those observed in population studies. Our findings highlight that genetic and brain factors may underlie a large proportion, but not all of the diagnostic overlaps observed in the clinic.
Topics: Humans; Depressive Disorder, Major; Autism Spectrum Disorder; Mental Disorders; Bipolar Disorder; Schizophrenia; Attention Deficit Disorder with Hyperactivity
PubMed: 38555309
DOI: 10.1038/s41398-024-02866-3 -
Journal of Medical Internet Research Dec 2023The COVID-19 pandemic has increased the impact and spread of mental illness and made health services difficult to access; therefore, there is a need for remote,... (Review)
Review
BACKGROUND
The COVID-19 pandemic has increased the impact and spread of mental illness and made health services difficult to access; therefore, there is a need for remote, pervasive forms of mental health monitoring. Digital phenotyping is a new approach that uses measures extracted from spontaneous interactions with smartphones (eg, screen touches or movements) or other digital devices as markers of mental status.
OBJECTIVE
This review aimed to evaluate the feasibility of using digital phenotyping for predicting relapse or exacerbation of symptoms in patients with mental disorders through a systematic review of the scientific literature.
METHODS
Our research was carried out using 2 bibliographic databases (PubMed and Scopus) by searching articles published up to January 2023. By following the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) guidelines, we started from an initial pool of 1150 scientific papers and screened and extracted a final sample of 29 papers, including studies concerning clinical populations in the field of mental health, which were aimed at predicting relapse or exacerbation of symptoms. The systematic review has been registered on the web registry Open Science Framework.
RESULTS
We divided the results into 4 groups according to mental disorder: schizophrenia (9/29, 31%), mood disorders (15/29, 52%), anxiety disorders (4/29, 14%), and substance use disorder (1/29, 3%). The results for the first 3 groups showed that several features (ie, mobility, location, phone use, call log, heart rate, sleep, head movements, facial and vocal characteristics, sociability, social rhythms, conversations, number of steps, screen on or screen off status, SMS text message logs, peripheral skin temperature, electrodermal activity, light exposure, and physical activity), extracted from data collected via the smartphone and wearable wristbands, can be used to create digital phenotypes that could support gold-standard assessment and could be used to predict relapse or symptom exacerbations.
CONCLUSIONS
Thus, as the data were consistent for almost all the mental disorders considered (mood disorders, anxiety disorders, and schizophrenia), the feasibility of this approach was confirmed. In the future, a new model of health care management using digital devices should be integrated with the digital phenotyping approach and tailored mobile interventions (managing crises during relapse or exacerbation).
Topics: Humans; Mental Disorders; Mental Health; Mood Disorders; Pandemics; Recurrence; Smartphone
PubMed: 38090800
DOI: 10.2196/46778 -
Systematic Reviews Mar 2021The nature and existence of free will have been debated for centuries. Since some psychiatric disorders are known to interfere with one's ability to control their... (Review)
Review
BACKGROUND
The nature and existence of free will have been debated for centuries. Since some psychiatric disorders are known to interfere with one's ability to control their actions and thoughts (e.g., schizophrenia), the investigation of the psychiatric facet of free will beliefs seems to be relevant. In this systematic review, we were interested in clarifying if and how having a mental disorder affects individuals' beliefs in free will by comparing psychiatric vs. non-psychiatric samples.
METHODS
A systematic search of MEDLINE, Web of Science, EMBASE, and PsycINFO databases was performed between 04 and 09 November 2020. The search strategy included "free will" and related constructs and terms related to DSM-5 mental disorders characterized by psychotic, compulsive, avoidant, or impulsive symptoms. Eligible designs of studies included case-control and cohort studies. Study selection took place in committee meetings consisting of six researchers. Quality assessment of the selected studies was performed through the Joanna Briggs Institute Appraisal Checklist for Case Control Studies.
RESULTS
After removing duplicates, a total of 12,218 titles/abstracts were screened. Inclusion and exclusion criteria were followed, and three articles were eventually selected.
CONCLUSIONS
It is not possible to provide unequivocal confirmation that having a mental disorder can or cannot affect someone's belief in free will. Studies with different mental disorders should be conducted in this field.
SYSTEMATIC REVIEW REGISTRATION
PROSPERO CRD42018109468.
Topics: Case-Control Studies; Humans; Mental Disorders; Personal Autonomy
PubMed: 33726858
DOI: 10.1186/s13643-021-01621-9 -
Clinical Child and Family Psychology... Jun 2023The consequences of Serious Mental Illness (SMI) on parent and child outcomes can be profound. Supporting parents to manage their caregiving roles alongside parental SMI... (Review)
Review
The consequences of Serious Mental Illness (SMI) on parent and child outcomes can be profound. Supporting parents to manage their caregiving roles alongside parental SMI successfully has been recognised as a public health priority. To meet this priority and develop effective and acceptable interventions, it is imperative that parents' experiences and support needs are understood. This systematic review aimed to synthesise qualitative research that explored parents' experiences and perceptions of the impact of SMI on their parenting and their corresponding support needs. The Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines were followed. Five databases were searched for terms associated with SMI, parenting, and qualitative research. Twenty-nine studies involving 562 parents who experienced SMI met inclusion criteria, and the methodological quality of included studies was appraised using the Critical Appraisal Skills Programme. After findings were synthesised using thematic synthesis, six themes were identified: (1) The constrained parent, (2) parenting difficulties, (3) the strained child, (4) inescapable threat, (5) combatting threat, and (6) wrap-around support needs. Novel insights into the centrality of SMI-related parenting difficulties and threat perceptions across parent, family, healthcare, and wider social systems on strained parent-child and distanced parent-support relationships were highlighted. Systemic practice change initiatives via compassionate and inclusive system-wide support were recommended.
Topics: Humans; Parenting; Parents; Qualitative Research; Mental Disorders
PubMed: 36807250
DOI: 10.1007/s10567-023-00427-6 -
The Primary Care Companion For CNS... Jun 2023Internet addiction disorder (IAD) is associated with psychological, physical, and social problems, including impaired academic performance. The objective of this review...
Internet addiction disorder (IAD) is associated with psychological, physical, and social problems, including impaired academic performance. The objective of this review was to investigate the relationship between IAD and psychiatric disorders in medical students. A search of PubMed, LILACS (Latin American and Caribbean Health Sciences Literature), Scopus, Cochrane Library, Web of Science, and Science Direct was performed using the following keywords: OR OR OR OR AND AND OR OR OR OR AND . Articles were selected and extracted from the online databases. Articles were included if they were available in English, French, Spanish, and Portuguese; addressed IAD and psychiatric disorders; contained original data; and provided sufficient data for the calculation of effect sizes. Included articles were published between March 2012 and March 2022. The correlations between internet addiction and depression, anxiety, stress, and sleep disorders were estimated using R software and the dmetar package with meta-analytic procedures. A total of 2,226 studies were identified, including 23 studies (21,582) that were eligible for inclusion in this systematic review. All articles were about medical students. There was a small positive correlation between IAD and sleep disorders ( = .0515). There was a moderate correlation between anxiety ( = .022), depression ( = .0002), and stress ( = .0322) and IAD. IAD is comorbid with psychiatric diseases, and this correlation was observed in this review. We suggest early identification and management of IAD, as it results in unfavorable mental health outcomes and impacts the work performance of medical students and physicians. .
Topics: Humans; Internet Addiction Disorder; Students, Medical; Mental Disorders; Anxiety; Sleep Wake Disorders
PubMed: 37310317
DOI: 10.4088/PCC.22r03384 -
International Journal of Environmental... Dec 2021The prevalence of mental health disorders and suicide amongst agricultural producers is a global problem. Community leaders, researchers, policymakers, and clinicians... (Review)
Review
The prevalence of mental health disorders and suicide amongst agricultural producers is a global problem. Community leaders, researchers, policymakers, and clinicians have mobilized to develop programs to address this issue. This study reviewed a wide range of mental health interventions targeting farmer mental health spanning over 50 years and examined their reported effectiveness and constraints. A total of ninety-two articles on farmer mental health were included in a final systematic review. Most articles were written concerning mental health literacy and peer and paraprofessional support interventions in the United States and Australia. Among the 56 studies reporting empirical evaluative data, 21 were mixed-method, 20 quantitative, 11 qualitative, and 5 literature synthesis. Non-experimental, self-reported, and qualitative data suggest efficacy of mental health literacy programs, peer and paraprofessional support, and community-based and agroecological interventions. However, most interventions were not subject to rigorous evaluation and only one intervention was evaluated using a control condition. The heterogeneity of existing studies and paucity of rigorous evaluation proscribes firm conclusions related to program-type efficacy. This review demonstrates that there is still a need for a stronger and broader evidence base in the field of farmer mental health interventions, which should focus on both holistic, multi-component programs and targeted approaches.
Topics: Agriculture; Farmers; Humans; Mental Disorders; Mental Health; Suicide
PubMed: 35010504
DOI: 10.3390/ijerph19010244 -
Translational Psychiatry May 2022COVID-19 has imposed a very substantial direct threat to the physical health of those infected, although the corollary impact on mental health may be even more... (Meta-Analysis)
Meta-Analysis
COVID-19 has imposed a very substantial direct threat to the physical health of those infected, although the corollary impact on mental health may be even more burdensome. Here we focus on assessing the mental health impact of COVID-19 and of other epidemics in the community. We searched five electronic databases until December 9, 2020, for all peer-reviewed original studies reporting any prevalence or correlates of mental disorders in the general population following novel epidemics in English, Chinese or Portuguese. We synthesised prevalence estimates from probability samples during COVID-19 and past epidemics. The meta-analytical effect size was the prevalence of relevant outcomes, estimated via random-effects model. I statistics, Doi plots and the LFK index were used to examine heterogeneity and publication bias. This study is pre-registered with PROSPERO, CRD42020179105. We identified 255 eligible studies from 50 countries on: COVID-19 (n = 247 studies), severe acute respiratory syndrome (SARS; n = 5), Ebola virus disease (n = 2), and 1918 influenza (n = 1). During COVID-19, we estimated the point prevalence for probable anxiety (20.7%, 95% CI 12.9-29.7), probable depression (18.1%, 13.0-23.9), and psychological distress (13.0%, 0-34.1). Correlates for poorer mental health include female sex, lower income, pre-existing medical conditions, perceived risk of infection, exhibiting COVID-19-like symptoms, social media use, financial stress, and loneliness. Public trust in authorities, availability of accurate information, adoption of preventive measures and social support were associated with less morbidity. The mental health consequences of COVID-19 and other epidemics could be comparable to major disasters and armed conflicts. The considerable heterogeneity in our analysis indicates that more random samples are needed. Health-care professionals should be vigilant of the psychological toll of epidemics, including among those who have not been infected.
Topics: Anxiety; COVID-19; Epidemics; Female; Humans; Mental Disorders; Mental Health; SARS-CoV-2
PubMed: 35581186
DOI: 10.1038/s41398-022-01946-6 -
Journal of Neuromuscular Diseases 2023Dystrophinopathies are associated with neuropsychiatric disorders due to alterations in dystrophin/DMD expression. (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Dystrophinopathies are associated with neuropsychiatric disorders due to alterations in dystrophin/DMD expression.
OBJECTIVE
The objective was to estimate the association of developmental disorders, autism spectrum disorders (ASD), attention deficit hyperactivity disorder (ADHD), depression, anxiety disorders, and obsessive-compulsive disorder with the dystrophin/DMD genotype in population with dystrophinopathies.
METHODS
Systematic searches of Medline, Scopus, Web of Science, and Cochrane Library were performed from inception to September 2022. We included observational studies in the population with Becker or Duchenne muscular dystrophies (BMD, DMD) that estimated the prevalence of these disorders according to Dp140 and/or Dp71 genotype. Meta-analysis of the prevalence ratio (PR) of genotype comparisons was conducted for each disorder.
RESULTS
Ten studies were included in the systematic review. In BMD, Dp140+ vs. Dp140- and Dp71+ vs. Dp71- were associated with developmental disorders with a PR of 0.11 (0.04, 0.34) and 0.22 (0.07, 0.67), respectively. In DMD, Dp140+/Dp71+ vs. Dp140- /Dp71- had a PR of 0.40 (0.28, 0.57), and Dp71+ vs. Dp71- had a PR of 0.47 (0.36, 0.63) for ADHD. However, there was no association of genotype with ASD, only a trend was observed for Dp71+ vs. Dp71-, with a PR of 0.61 (0.35, 1.06). Moreover, the data showed no association of these isoforms with emotional-related disorders.
CONCLUSIONS
In BMD, Dp140 and Dp71 could be associated with developmental disorders, while ADHD might be associated with the Dp71 genotype in DMD. Further research is needed regarding Dp140 and Dp71, especially in DMD for ASD.
Topics: Humans; Dystrophin; Genetic Predisposition to Disease; Genotype; Mental Disorders; Muscular Dystrophies; Muscular Dystrophy, Duchenne; Prevalence
PubMed: 36565132
DOI: 10.3233/JND-221586