Meta-Analysis of Emotional Regulation Training on Reducing the Symptoms of Depression Disorder

2021 ◽  
Author(s):  
Roya Heidari ◽  
Maryam Jalilian
Keyword(s):  
Effect Size ◽  
Emotional Regulation ◽  
Parental Education ◽  
Meta Analysis ◽  
Random Effect ◽  
Analysis Data ◽  
Symptoms Of Depression ◽  
Epidemiology Of Depression ◽  
Depression Disorder ◽  
Research Studies

Aim: Emotional regulation is one of the areas that has been considered in the epidemiology of depression in the last decade. The results of studies on the effect of emotional regulation training on reducing the symptoms of depression disorder vary and contradictory. Therefore, the aim of this meta-analysis was to determine the effectiveness of emotional regulation training on reducing the symptoms of depression disorder. Methods: For this research, meta-analysis technique were utilized, in which the results of various research studies were integrated in order to determine the size of the effect of parental education programs. To achieve this purpose, the related literature concerning the topic was investigated in dissertations and research articles published in scientific journals from 2006 to 2020 were reviewed. Based on the research inclusion criterion, 17 research studies, including 14 articles and 3 dissertations were considered for meta-analysis. Data analysis and calculation of effect size were performed using the CMA2 software and the Hedges g-index. Findings: The findings from this meta-analysis showed that the random effect of emotional regulation training on reducing the symptoms of depression disorder (1/39) (P< 0/001), which is evaluated in accordance with the Cohen table of the large effect size. Conclusion: It seems that emotional regulation training can be used as a suitable method for reducing depression in educational and therapeutic centers.

A meta-analysis of the effects of problem-based learning on students' creative thinking in mathematics

2020 ◽  
Vol 13 (2) ◽  
pp. 104-116
Author(s):  
Yunita Yunita ◽  
Dadang Juandi ◽  
Maximus Tamur ◽  
Angela Merici G Adem ◽  
Jerito Pereira
Keyword(s):  
Effect Size ◽  
Treatment Duration ◽  
Creative Thinking ◽  
Mathematical Thinking ◽  
Meta Analysis ◽  
Problem Based Learning ◽  
Size Variation ◽  
Analysis Data ◽  
Length Of Treatment ◽  
Effect Size Index

[English]: This study examined the effect of Problem-based Learning (PBL) on students' creative mathematical thinking in Indonesia during the last eight years using meta-analysis. Data were obtained from primary studies published in national journals, conference proceedings, and master thesis from 2012 to 2020. This study analyzed 19 effect sizes from 19 primary studies that fulfill the inclusion criteria. The effect size index used the Hedges' g equation and statistical analysis was assisted by comprehensive meta-analysis (CMA) software. The effect size variation test was conducted by analyzing the study's five characteristics, namely the year of study, level of education, sample size, length of treatment, and publication sources. Based on the analysis results, the overall effect size was 0.821, with a standard error of 0.130 at the 95% confidence interval (CI) referring to the random-effects model. The effect size is classified as moderate, meaning that PBL has a moderately positive effect on students' creative mathematical  thinking. The results of the analysis of the characteristics of the study show that the application of PBL to improve students' mathematical creative thinking relates to the research year (Q = 55.683; p <0.05), the treatment duration (Q = 5.644; p <0.05), and publication sources (Q = 13.812; p <0.05). It was found that the PBL was more effective in conditions of treatment duration of fewer than four meetings. There is a tendency that PBL has a significant impact when it is first implemented. The findings' implications are discussed to provide important information as a basic idea for further PBL research and implementation. Keywords: Problem-based learning, Creative thinking, Meta-analysis [Bahasa]: Penelitian ini menguji pengaruh problem-based learning (PBL) terhadap berpikir kreatif matematis siswa di Indonesia selama delapan tahun terakhir melalui meta-analisis. Data diperoleh dari studi primer yang telah dipublikasikan di jurnal nasional, prosiding konferensi, dan tesis master tahun 2012-2020. Penelitian ini menganalisis 19 ukuran efek dari 19 studi primer yang memenuhi kriteria penyertaan. Indeks ukuran efek menggunakan persamaan Hedges' g dan analisis statistik dibantu oleh perangkat lunak comprehensive meta-analysis (CMA). Pengujian variasi ukuran efek dilakukan dengan menganalisis lima karakteristik penelitian yaitu tahun studi, tingkat pendidikan, ukuran sampel, lama perawatan, dan sumber publikasi. Berdasarkan hasil analisis, ukuran efek keseluruhan adalah 0,821, dengan kesalahan standar 0,130 pada interval kepercayaan 95% (CI) menurut model efek acak. Ukuran efek tergolong sedang, artinya penggunaan PBL berpengaruh positif sedang terhadap berpikir kreatif matematis siswa. Hasil analisis karakteristik penelitian menunjukkan bahwa penerapan PBL untuk meningkatkan berpikir kreatif matematis siswa berkaitan dengan tahun penelitian (Q = 55,683; p <0,05), durasi perlakuan (Q = 5,644; p <0,05) , dan sumber publikasi (Q = 13.812; p <0.05). Ditemukan bahwa PBL lebih efektif pada kondisi durasi perlakuan kurang dari 4 pertemuan. Terdapat kecenderungan bahwa PBL berdampak besar saat pertama kali diterapkan. Implikasi hasil penelitian dibahas untuk memberikan informasi penting sebagai ide dasar untuk penelitian dan implementasi PBL selanjutnya. Kata kunci: Problem-based learning, Berpikir kreatif, Meta-analysis  

M. Meta-Analysis

2021 ◽  
pp. 163-165
Author(s):  
Noémie Laurens
Keyword(s):  
Literature Review ◽  
Empirical Research ◽  
Effect Size ◽  
Meta Analysis ◽  
Research Synthesis ◽  
Effect Sizes ◽  
Primary Research ◽  
Unit Of Analysis ◽  
Research Studies

This chapter illustrates meta-analysis, which is a specific type of literature review, and more precisely a type of research synthesis, alongside traditional narrative reviews. Unlike in primary research, the unit of analysis of a meta-analysis is the results of individual studies. And unlike traditional reviews, meta-analysis only applies to: empirical research studies with quantitative findings hat are conceptually comparable and configured in similar statistical forms. What further distinguishes meta-analysis from other research syntheses is the method of synthesizing the results of studies — i.e. the use of statistics and, in particular, of effect sizes. An effect size represents the degree to which the phenomenon under study exists.

scholarly journals Systematic review on risk factors of rotator cuff tears

2017 ◽  
Vol 25 (1) ◽  
pp. 230949901668431 ◽  
Author(s):  
Andrew Arjun Sayampanathan ◽  
Tan Hwee Chye Andrew
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Rotator Cuff ◽  
Meta Analysis ◽  
Random Effect ◽  
Female Gender ◽  
Analysis Data ◽  
Rotator Cuff Tears ◽  
Dominant Hand ◽  
Random Effect Models

Purpose: Rotator cuff tears (RCTs) occur commonly, especially among certain groups of individuals. In this meta-analysis, we aim to identify risk factors for RCTs. Methods: We searched MEDLINE for 210 articles. Seventeen articles were selected for systematic review, of which 10 were eligible for meta-analysis. Data was analysed with Review Manager 5.3, using Mantel–Haenszel statistics and random effect models. Results: A total of 6653 individuals were analysed. The odds of sustaining a RCT on the dominant hand was 2.30 times more than the non-dominant hand (95% confidence interval (CI): 1.01–5.25, Z = 1.99, p = 0.05; Heterogenity: τ2 = 0.38, χ2 = 8.84, df = 2 ( p = 0.01), I2 = 77%). The odds of an individual aged 60 years and above sustaining a RCT was 5.07 times higher than an individual less than 60 years old (95% CI: 2.45–10.51, Z = 4.37, p < 0.001; Heterogenity: τ2 = 0.47, χ2 = 25.24, df = 3 ( p < 0.001), I2 = 88%). Female gender was not a significant association, with an odds ratio of 0.98 when compared to the male gender (95% CI: 0.66–1.45, Z = 0.09, p = 0.93; Heterogenity: τ2 = 0.20, χ2 = 44.24, df = 5 ( p < 0.001), I2 = 89%). Conclusions: Hand dominance and older age are associated with RCTs. More studies are required for further assessment of associations and risk factors of RCTs.

scholarly journals Symptomatology of COVID-19 - Lessons from a meta-analysis across 13 countries

2021 ◽  
Vol 12 (11) ◽  
pp. 3-15
Author(s):  
Champika Saman Kumara Gamakaranage ◽  
Dineshani Hettiarachchi ◽  
Dileepa Ediriweera ◽  
Saroj Jayasinghe
Keyword(s):  
Meta Analysis ◽  
Random Effect ◽  
Clinical Manifestations ◽  
Analysis Data ◽  
Data Sources ◽  
Data Abstraction ◽  
Eligibility Criteria ◽  
Cross Sectional ◽  
Altered Level ◽  
Comprehensive Picture

Background: COVID-19 pandemic has resulted in varying clinical manifestations and mortality rates. There is no consensus on the symptomatology that would guide researchers and clinicians. Aims and Objectives: The objective was to identify symptoms and their frequencies of COVID-19 with a meta-analysis of studies from several countries. Materials and Methods: Data sources: A systematic review using PubMed and Google Scholar data sources and reference tracing were used to identify 7176 articles. Eligibility criteria: Suitable articles were selected manually with selection criteria and 14 original articles included in meta-analysis. Data abstraction and analysis: PRISMA guidelines used for data abstraction and a table was generated by feeding it with numbers and proportions of each symptom described. A meta-analysis was carried out using random effect models on each symptom separately across the studies and their prevalence rates and 95% confident intervals were calculated. Results: Selected 14 studies, either cross-sectional or cohort studies are analyzed. There were 2,660 confirmed cases of COVID-19. The majority were from China (n=2,439, 91.7%) and remainder from the Netherlands, Italy, Korea, and India and one article from Europe. There were a total of 32 symptoms identified from the meta-analysis and additional 7 symptoms were identified from reference searching. The most common symptoms were (prevalence >50%): fever (79.56%, 95% CI: 72.17–86.09%), malaise (63.3%, 95% CI: 53.1–73.0%), cough (56.7%, 95% CI: 48.6–64.6%), and cold (55.6%, 95% CI: 45.2–65.7%). Symptoms of intermediate incidence (5–49%) were anosmia, sneezing, ocular pain, fatigue, sputum production, arthralgia, tachypnea, palpitation, headache, chest tightness, shortness of breath, chills, myalgia, sore throat, anorexia, weakness, diarrhea, rhinorrhea, dizziness, nausea, altered level of consciousness, vomiting, and abdominal pain. Rare symptoms (<5%): tonsil swelling, hemoptysis, conjunctival injection, lymphadenopathy, and rash. Conclusion: We found (25/32, from meta-analysis) symptoms to be present in ≥5% of cases which could be considered as “typical” symptoms of COVID-19. The list of symptoms we identified is different from those documents released by the WHO, CDC, NHS, Chinese CDC, Institute Pasteur and Mayo Clinic. The compiled list would be useful for future researchers to document a comprehensive picture of the illness.

scholarly journals Stage 2 Registered Report: Anomalous perception in a Ganzfeld condition - A meta-analysis of more than 40 years investigation

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 234
Author(s):  
Patrizio E. Tressoldi ◽  
Lance Storm
Keyword(s):  
Regression Model ◽  
Effect Size ◽  
Close Agreement ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Questionable Research Practices ◽  
Effect Model ◽  
Meta Regression ◽  
Stage 1

This meta-analysis is an investigation into anomalous perception (i.e., conscious identification of information without any conventional sensorial means). The technique used for eliciting an effect is the ganzfeld condition (a form of sensory homogenization that eliminates distracting peripheral noise). The database consists of studies published between January 1974 and December 2020 inclusive. The overall effect size estimated both with a frequentist and a Bayesian random-effect model, were in close agreement yielding an effect size of .088 (.04-.13). This result passed four publication bias tests and seems not contaminated by questionable research practices. Trend analysis carried out with a cumulative meta-analysis and a meta-regression model with Year of publication as covariate, did not indicate sign of decline of this effect size. The moderators analyses show that selected participants outcomes were almost three-times those obtained by non-selected participants and that tasks that simulate telepathic communication show a two-fold effect size with respect to tasks requiring the participants to guess a target. The Stage 1 Registered Report can be accessed here: https://doi.org/10.12688/f1000research.24868.3

scholarly journals HUBUNGAN NONSUICIDAL SELF-INJURY (NSSI) DENGAN ACQUIRED CAPABILITY FOR SUICIDE: STUDI META-ANALISIS

2021 ◽  
Vol 5 (2) ◽  
pp. 590
Author(s):  
Puti Andini Pradipta ◽  
Monty Prawiratirta Satiadarma ◽  
Untung Subroto
Keyword(s):  
Effect Size ◽  
Suicide Attempts ◽  
Meta Analysis ◽  
Random Effect ◽  
Interpersonal Theory ◽  
Acquired Capability ◽  
Self Injury ◽  
The Relationship ◽  
Commit Suicide ◽  
Nonsuicidal Self Injury

Suicide was the third leading cause of death in adolescents in the world in 2016 with a mortality rate of about 136,000 cases. Reasons teenagers commit suicide include family financial problems, psychological distress, low self-esteem, lack of confidence, and depression. In addition, the difficulty of professional help and social support from the surrounding environment also opens up opportunities for adolescents to commit suicide. Suicidal behavior is often associated with nonsuicidal self-injury (NSSI). NSSI is an act of self-injury with no intention to commit suicide, but according to the Interpersonal Theory for Suicide by Joiner (2005), NSSI’s actions are considered to be one of the factors increasing the ability to commit suicide attempts (acquired capability). This study is aimed at exploring the relationship between NSSI and acquired capability for suicide by meta-analysis study. Eight studies from 119 articles involving the term NSSI and acquired capability were studied using the random-effects model. A total of 3398 samples were included in the study. The results showed that the effect size between NSSI and acquired capability was (r = .208), which means that NSSI is positively correlated with acquired capability and has a weak relationship. The results of this study also show that this study has a high heterogeneity value (I2 = 91,48) and there is no publication bias. Bunuh diri adalah penyebab kematian nomor tiga pada remaja di dunia pada tahun 2016 dengan angka kematian sekitar 136.000 kasus. Alasan remaja melakukan bunuh diri antara lain adalah masalah-masalah keuangan keluarga, distres psikologis, rendahnya harga diri, kurang percaya diri, dan depresi. Selain itu, sulitnya pertolongan tenaga profesional dan dukungan sosial dari lingkungan sekitarnya juga membuka peluang para remaja untuk melakukan percobaan bunuh diri. Perilaku bunuh diri sering dihubungkan dengan Nonsuicidal Self-Injury (NSSI). NSSI merupakan tindakan perusakan diri dengan tanpa adanya keinginan untuk bunuh diri, namun menurut teori Interpersonal Theory for Suicide oleh Joiner (2005), tindakan NSSI dianggap menjadi salah satu faktor meningkatnya kemampuan seseorang untuk melakukan percobaan bunuh diri (acquired capability). Penelitian ini bertujuan untuk mengeksplorasi hubungan antara NSSI dan acquired capability dengan studi meta-analisis. Delapan artikel korelasional dari 119 artikel yang melibatkan istilah NSSI dan acquired capability dipelajari menggunakan random-effect models. Sebanyak 3398 sampel dilibatkan dalam penelitian ini. Hasil penelitian menunjukkan nilai effect size antara NSSI dan acquired capability adalah sebesar (r = .208), yang berarti NSSI berkorelasi positif dengan acquired capability dan memiliki hubungan yang lemah. Hasil penelitian ini juga menunjukkan bahwa studi ini memiliki nilai heterogenitas yang tinggi(I2 = 91,48) dan tidak terdapat bias publikasi.

scholarly journals Coordinate based random effect size meta-analysis of neuroimaging studies

NeuroImage ◽  
2017 ◽  
Vol 153 ◽  
pp. 293-306 ◽  
Author(s):  
C.R. Tench ◽  
Radu Tanasescu ◽  
C.S. Constantinescu ◽  
D.P. Auer ◽  
W.J. Cottam
Keyword(s):  
Effect Size ◽  
Meta Analysis ◽  
Random Effect

Abstract 16310: Association Between the Use of Antithrombotics and Cardiac Implantable Electronic Device Infections: A Systematic Review and Meta-analysis

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Chol Techorueangwiwat ◽  
Chanavuth Kanitsoraphan ◽  
Jakrin Kewcharoen
Keyword(s):  
Systematic Review ◽  
Effect Size ◽  
Electronic Device ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Systemic Infection ◽  
Cardiac Implantable Electronic Device ◽  
Inverse Variance ◽  
Increased Risk

Introduction: Studies have shown that the use of antiplatelet and anticoagulant increases the risk of cardiac implantable electronic device (CIED) infection following the implantation. However, results were contradicting. In this study, we performed a systematic review and meta-analysis to explore the effect of antiplatelets and anticoagulants and the risk of CIED infection following the implantation. Methods: We searched the databases of MEDLINE and EMBASE from inception to March 2020. Included studies were published studies of patients undergoing CIED implantations which reported effect size of the use of either antiplatelet or anticoagulant, or both, on the risk of CIED infections. CIED infection was defined as either device-related local or systemic infection. Data from each study were combined using the random-effects, generic inverse variance method of Der Simonian and Laird to calculate effect size and 95% confidence intervals (CI). Results: Fifteen studies from 2008-2019 involving a total of 72,028 patients were included. In random-effect model, we found that the use of antiplatelet was not associated with an increased risk of CIED infections (risk ratio (RR) =1.13, 95% CI: 0.89-1.44, p=0.314, I 2 =51.3%), while the use of anticoagulant was associated with increased risk of CIED infections (RR =1.50, 95%CI: 1.02-2.21, p=0.038, I 2 =75%). There was no publication bias observed in the funnel plot as well as no small-study effect observed in Egger’s test. Conclusions: Our meta-analysis demonstrated that the use of anticoagulant significantly increases the risk of CIED infection following the implantation by up to 1.50-fold, however, this effect was not observed with antiplatelet use. Our study suggested that patients on anticoagulation considering CIED implantations should proceed with caution.

A meta-analysis of serum Hcy in diagnosis of diabetic nephropathy

Pteridines ◽  
2020 ◽  
Vol 31 (1) ◽  
pp. 1-8
Author(s):  
Xiaoling Zhou ◽  
Aijie Shi ◽  
Xiao Zhou
Keyword(s):  
Diabetic Nephropathy ◽  
Effect Size ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Diagnostic Odds Ratio ◽  
Diagnostic Sensitivity ◽  
Cochrane Library ◽  
Statistical Heterogeneity ◽  
Sensitivity Specificity

AbstractObjective This meta-analysis aims to investigate the diagnostic performance of serum homocysteine (Hcy) as a biomarker for diabetic nephropathy (DN).Methods Clinical publications relevant to serum Hcy level and DN were systematic searched in the electronic databases of; Pubmed, Cochrane Library, Embase, Web of science, CNKI and CBM. The diagnostic data from each included original study was extracted and pooled by the effect size of diagnostic sensitivity, specificity, positive likely hood ratio (+LR), negative likely hood ratio (-LR), diagnostic odds ratio (DOR) and area under the symmetric ROC curve (AUC).Results 18 publications relevant to serum Hcy and DN were included in the meta-analysis. The I2 test demonstrated significant statistical heterogeneity across the 18 studies for the effect size of diagnostic. The pooled diagnostic sensitivity, specificity, +LR, -L, DOR, AUC were 0.76 (95%CI: 0.74-0.78), 0.84 (95%CI:0.82-0.86), 5.05 (95%CI:3.52-7.24), 0.27 (95%CI:0.19-0.39), 21.68 (95% CI:11.15to 42.14) and 0.90 respectively in the random effect model.Conclusion Based on the present publications, serum Hcy is a promising serological marker for DN diagnosis.

scholarly journals Effect of saffron supplementation on symptoms of depression and anxiety: a systematic review and meta-analysis

2019 ◽  
Vol 77 (8) ◽  
pp. 557-571 ◽  
Author(s):  
Wolfgang Marx ◽  
Melissa Lane ◽  
Tetyana Rocks ◽  
Anu Ruusunen ◽  
Amy Loughman ◽  
...  
Keyword(s):  
Systematic Review ◽  
Depressive Symptoms ◽  
Publication Bias ◽  
Effect Size ◽  
Data Extraction ◽  
Meta Analysis ◽  
Crocus Sativus ◽  
Depression And Anxiety ◽  
Symptoms Of Depression ◽  
Positive Effect

Abstract Context Saffron (Crocus sativus L.) has gained interest as a potential treatment in psychiatry. Objective This systematic review and meta-analysis sought to investigate the effect of saffron supplementation, as both an adjunctive therapy and monotherapy, on symptoms of depression and anxiety in clinical and general populations compared with pharmacotherapy or placebo. Data sources Using the PRISMA guidelines, a systematic literature review of randomized controlled trials was conducted. Data extraction A meta-analysis was conducted to determine treatment effect. Risk of bias was assessed using the Jadad scale. Results Twenty-three studies were included. Saffron had a large positive effect size when compared with placebo for depressive symptoms (g = 0.99, P < 0.001) and anxiety symptoms (g = 0.95, P < 0.006). Saffron also had a large positive effect size when used as an adjunct to antidepressants for depressive symptoms (g = 1.23, P = 0.028). Egger’s regression test found evidence of publication bias. Conclusions Saffron could be an effective intervention for symptoms of depression and anxiety; however, due to evidence of publication bias and lack of regional diversity, further trials are required. PROSPERO registration CRD42017070060.

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