scholarly journals Common mental disorders prevalence in adolescents: A systematic review and meta-analyses

PLoS ONE ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. e0232007 ◽  
Author(s):  
Sara Araújo Silva ◽  
Simoni Urbano Silva ◽  
Débora Barbosa Ronca ◽  
Vivian Siqueira Santos Gonçalves ◽  
Eliane Said Dutra ◽  
...  
2020 ◽  
Author(s):  
Yanxu Yang ◽  
Matt Ciarletta ◽  
Yunqi Pan ◽  
Vernon M. Chinchilli ◽  
Paddy Ssentongo ◽  
...  

Abstract Aim To estimate the pooled prevalence and incidence of depression and its common comorbid mental disorders in persons with a malarial infection and its neurological complications Method We will conduct a systematic review and meta-analysis of studies published between January 1, 1960 and January 1, 2020, reporting the prevalence or incidence of common mental disorders and the risks in people with malaria. We will search the following databases: PubMed (MEDLINE), Scopus, OVID (HEALTH STAR), OVID (MEDLINE) and Joana Briggs Institute EBF Database. No age, geographical location, study-design or language limits will be applied. If multiple languages were used to describe and publish the same data, the English version was selected. This protocol was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols guidelines. Three reviewers (MC, YP, YY) will independently screen citations, abstracts and will identify full-text articles for inclusion, extract data and appraise the quality and bias of included studies. Discrepancies will be resolved by consensus or consultation with a fourth researcher (AS). Risk of bias of included studies will be assessed by the Newcastle-Ottawa Quality Assessment Scale. The primary outcomes will be the overall prevalence or incidence of depression and common comorbid mental disorders (CCMDs) in persons with malaria. We will use the random-effects model with a logit transformation of proportions for the pooling of studies. We will assess the between-study heterogeneity using I2 statistics, and Cochrane’s Q statistic (significance level < 0.05). We will perform subgroup meta-analyses to investigate geographical differences in mental disorders and risks of different mental disorders. We will conduct a meta-regression analysis, using study level median age, race and gender proportions, the proportion of study population with malaria, and percentage of the study population with a diagnosis of common mental disorders. We will report absolute differences in the overall probability of common mental disorders. The Egger’s test and funnel plots will be used to assess publication bias.


2021 ◽  
Author(s):  
Megan Rose Sambrook Smith ◽  
Leo Cairns ◽  
Lucienne Pullen ◽  
Charles Opondo ◽  
Gracia Fellmeth ◽  
...  

2018 ◽  
Vol 53 (9) ◽  
pp. 897-909 ◽  
Author(s):  
Katherine Petrie ◽  
Josie Milligan-Saville ◽  
Aimée Gayed ◽  
Mark Deady ◽  
Andrea Phelps ◽  
...  

CNS Spectrums ◽  
2009 ◽  
Vol 14 (S3) ◽  
pp. 34-40 ◽  
Author(s):  
Edith van‘t Hof ◽  
Pim Cuijpers ◽  
Dan J. Stein

AbstractThere is a growing database of research on self-help and Internet-guided interventions in the treatment of common mental disorders, and a number of meta-analyses have now been published. This article provides a systematic review of meta-analyses on the efficacy of self-help interventions, including Internet-guided therapy, for depression and anxiety disorders. Searches were conducted in PubMed, PsychINFO, EMBASE, and the Cochrane database for statistical meta-analyses of randomized, controlled trials of self-help or Internet-guided interventions for depression or anxiety disorders published in English. Reference lists were also used to find additional studies. Effect sizes were tabulated; 13 meta-analyses reported medium to large effect sizes for self-help interventions. Studies included in the meta-analyses differed in samples, type of self-help (eg, computer-aided, Internet-guided), control conditions, and study design. The meta-analyses indicate that self-help methods are effective in a range of different disorders, including depression and anxiety disorders. Most meta-analyses found relatively large effect sizes for self-help treatments, independent of the type of self-help, and comparable to effect sizes for face-to-face treatments. However, further research is needed to optimize the use of self-help methods.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ozlem Eylem ◽  
Leonore de Wit ◽  
Annemieke van Straten ◽  
Lena Steubl ◽  
Zaneta Melissourgaki ◽  
...  

2010 ◽  
Vol 71 (3) ◽  
pp. 517-528 ◽  
Author(s):  
Crick Lund ◽  
Alison Breen ◽  
Alan J. Flisher ◽  
Ritsuko Kakuma ◽  
Joanne Corrigall ◽  
...  

2018 ◽  
Vol 36 ◽  
pp. 46-53 ◽  
Author(s):  
Shreya Jha ◽  
Harshal R. Salve ◽  
Kiran Goswami ◽  
Rajesh Sagar ◽  
Shashi Kant

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