1,721,024 research outputs found
Physical exercise as a treatment for anxiety and depression in children and adolescents? The devil is in the details
No full textUmbrella-Review, Evaluation, Analysis, and Communication Hub (U-REACH): a novel living umbrella review knowledge translation approach
No full textSystematic reviews and meta-analyses have become crucial for evidence-based decision-making in recent decades. However, it is common for the results of multiple reviews on the same topic to be inconsistent, and it is widely recognized that the results of the reviews are not always effectively communicated to health care professionals and the lay public. This manuscript proposes a strategy to summarize and communicate the findings of previous systematic reviews and meta-analyses to wider audiences. The proposed approach couples the findings of umbrella reviews with the creation of open-access online platforms that present the results of these umbrella reviews in an accessible way to various stakeholders. The key potential methodological avenues of this approach are presented, and specific examples from the author's own works and those from other teams are provided. An accompanying website (https://u-reach.org/) has been designed to present this U-REACH approach and to overcome the technical challenges associated with this type of project (by sharing the code used to build existing U-REACH projects). The present document is intended to serve as a methodological and technical guide for the creation of large-scale projects designed to synthesize and disseminate scientific information to a broad audience
metaConvert: an automatic suite for estimation of 11 different effect size measures and flexible conversion across them
No full textA fundamental pillar of science is the estimation of the effect size of associations. However, this task is sometimes difficult and error-prone. To facilitate this process, the R package metaConvert automatically calculates and flexibly converts multiple effect size measures. It applies more than 120 formulas to convert any relevant input data into Cohen's d, Hedges' g, mean difference, odds ratio, risk ratio, incidence rate ratio, correlation coefficient, Fisher's r-to-z transformed correlation coefficient, variability ratio, coefficient of variation ratio, or number needed to treat. Researchers unfamiliar with R can use this software through a browser-based graphical interface (https://metaconvert.org/). We hope this suite will help researchers in the life sciences and other disciplines estimate and convert effect sizes more easily and accurately
metaumbrella: the first comprehensive suite to perform data analysis in umbrella reviews with stratification of the evidence
Full text linkObjective: Umbrella reviews are a new form of literature review that summarises the strength and/or quality of the evidence from all systematic reviews and meta-analyses conducted on a broad topic. This type of review thus provides an exhaustive examination of a vast body of information, providing the highest synthesis of knowledge. A critical strength of umbrella reviews is recalculating the meta-analytic estimates within a uniform framework to allow a consistent evidence stratification. To our best knowledge, there is no comprehensive package or software to conduct umbrella reviews. Methods: The R package metaumbrella accomplishes this aim by building on three core functions that (1) automatically perform all required calculations in an umbrella review (including but not limited to pairwise meta-analyses), (2) stratify evidence according to various classification criteria and (3) generate a visual representation of the results. In addition, this package allows flexible inputs for each review or meta-analysis analysed (eg, means plus SD, or effect size estimate and CI) and customisation (eg, stratification criteria following Ioannidis, algorithmic GRADE or personalised classification). Results: The R package metaumbrella thus provides the first comprehensive range of facilities to perform umbrella reviews with stratification of the evidence. Conclusion: To facilitate the use of this package, even for researchers unfamiliar with R, we also provide a JAMOVI module and an open-access, browser-based graphical interface that allow use of the core functions of the package with a few mouse clicks
Umbrella Review and Meta-Analysis: The Efficacy of Nonpharmacological Interventions for Sleep Disturbances in Children and Adolescents
No full textObjective: We conducted an umbrella review of systematic reviews (SRs), with or without meta-analysis (MA), of randomized controlled trials (RCTs) assessing nonpharmacological sleep interventions for children and adolescents across various clinical populations. Method: We searched multiple electronic databases up to January 24, 2024. Meta-analyzable data from RCTs in the retrieved SRs/MAs were pooled using metaumbrella. Primary outcomes were subjective/objective child sleep parameters. Additional outcomes included child health/functioning and parental sleep/health. The quality of the MAs/SRs was assessed with Assessment of Multiple Systematic Reviews (AMSTAR-2), and the certainty of evidence using Grading of Recommendations, Assessment, Development and Evaluations (GRADE). Results: We included 93 SRs/MAs covering 393 RCTs, with 25 (17%, 39%, and 30%: high, moderate, and low quality) providing data for quantitative synthesis. Behavioral interventions, usually multicomponent including parent training, psychoeducation, and/or specific sleep therapy/strategies, showed beneficial effects on night waking, sleep duration, overall sleep disturbance, mood/depression, and maternal sleep quality (standardized mean difference [SMD] = 0.10-0.80) in participants with sleep problems without a formal sleep disorder diagnosis. For those with a formal diagnosis (mainly insomnia), benefits were found for night waking, sleep efficiency (subjective/actigraphically measured), and sleep onset latency (mean SMD = 0.49-0.97). Individuals with attention-deficit/hyperactivity disorder (ADHD) improved in bedtime resistance, night waking, parasomnias, sleep anxiety, ADHD symptoms, sleep disturbance, and quality of life (mean SMD = 0.18-0.49). For those with autism, sleep disturbance improved (mean SMD = 0.70). However, all findings were of low to very low certainty of evidence. Conclusion: Among nonpharmacological interventions for sleep difficulties in youth, only behavioral interventions are supported by meta-analytic evidence, yet with small-to-moderate effect sizes and limited certainty of evidence. Study preregistration information: The efficacy and tolerability of nonpharmacological interventions for sleep problems in children and adolescents: protocol for an umbrella review of systematic reviews and meta-analyses of randomised controlled trials; https://osf.io/j9qna/
Umbrella review and meta-analysis: the efficacy of non-pharmacological interventions for sleep disturbances in children and adolescents
No full textObjective: we conducted an umbrella review of systematic reviews (SRs) - with or without meta-analysis (MA) - of randomized controlled trials (RCTs) assessing non-pharmacological sleep interventions for children and adolescents across various clinical populations.Method: we searched multiple electronic databases up to 24/01/24. Meta-analyzable data from RCTs in the retrieved SRs/MAs were pooled using Metaumbrella. Primary outcomes were subjective/objective child sleep parameters. Additional outcomes included child health/functioning and parental sleep/health. The quality of the MAs/SRs was assessed with AMSTAR-2, and the certainty of evidence using GRADE.Results: we included 93 SRs/MAs covering 393 RCTs, with 25 (17%, 39% and 30%: high, moderate, and low quality) providing data for quantitative synthesis. Behavioral interventions, usually multicomponent including parent training, psychoeducation, and/or specific sleep therapy/strategies, showed beneficial effects on night waking, sleep duration, overall sleep disturbance, mood/depression, and maternal sleep quality (standardized mean difference [SMD]: 0.10 to 0.80) in participants with sleep problems without a formal sleep disorder diagnosis. For those with a formal diagnosis (mainly insomnia), benefits were found for night waking, sleep efficiency (subjective/actigraphically measured), and sleep onset latency (mean SMD: 0.49 to 0.97). Those with ADHD improved in bedtime resistance, night waking, parasomnias, sleep anxiety, ADHD symptoms, sleep disturbance, and quality of life (mean SMD: 0.18 to 0.49). For those with autism, sleep disturbance improved (mean SMD: 0.70). However, all findings were of low to very low certainty of evidence.Conclusion: among non-pharmacological interventions for sleep difficulties in youth, only behavioral interventions are supported by meta-analytic evidence, yet with small to moderate effect sizes and limited certainty of evidence. <br/
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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