scholarly journals A meta-analysis of correlated behaviours with implications for behavioural syndromes: mean effect size, publication bias, phylogenetic effects and the role of mediator variables

2012 ◽  
Vol 26 (5) ◽  
pp. 1213-1235 ◽  
Author(s):  
László Zsolt Garamszegi ◽  
Gábor Markó ◽  
Gábor Herczeg
2021 ◽  
Vol 44 ◽  
Author(s):  
Robert M. Ross ◽  
Robbie C. M. van Aert ◽  
Olmo R. van den Akker ◽  
Michiel van Elk

Abstract Lee and Schwarz interpret meta-analytic research and replication studies as providing evidence for the robustness of cleansing effects. We argue that the currently available evidence is unconvincing because (a) publication bias and the opportunistic use of researcher degrees of freedom appear to have inflated meta-analytic effect size estimates, and (b) preregistered replications failed to find any evidence of cleansing effects.


2021 ◽  
Author(s):  
Robert M Ross ◽  
Robbie Cornelis Maria van Aert ◽  
Olmo Van den Akker ◽  
Michiel van Elk

Lee and Schwarz interpret meta-analytic research and replication studies as providing evidence for the robustness of cleansing effects. We argue that the currently available evidence is unconvincing because (a) publication bias and the opportunistic use of researcher degrees of freedom appear to have inflated meta-analytic effect size estimates, and (b) preregistered replications failed to find any evidence of cleansing effects.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Fushun Zhang ◽  
Yuanyuan Zhang ◽  
Nan Jiang ◽  
Qiao Zhai ◽  
Juanjuan Hu ◽  
...  

Background. Some studies published previously have shown a strong correlation between hypertension and psychological nature including impulsion emotion or mindfulness and relaxation temperament, among which mindfulness and relaxation temperament might have a benign influence on blood pressure, ameliorating the hypertension. However, the conclusion was not confirmed. Objective. The meta-analysis was performed to investigate the influence of mindfulness and relaxation on essential hypertension interventions and confirm the effects. Methods. Systematic searches were conducted in common English and Chinese electronic databases (i.e., PubMed/MEDLINE, EMBASE, Web of Science, CINAHL, PsycINFO, Cochrane Library, and Chinese Biomedical Literature Database) from 1980 to 2020. A meta-analysis including 5 studies was performed using Rev Man 5.4.1 software to estimate the influence of mindfulness and relaxation on blood pressure, ameliorating the hypertension. Publication bias and heterogeneity of samples were tested using a funnel plot. Studies were analyzed using either a random-effect model or a fixed-effect model. Results. All the 5 studies investigated the influence of mindfulness and relaxation on diastolic and systolic blood pressure, with total 205 participants in the control group and 204 in the intervention group. The random-effects model (REM) was used to calculate the pooled effect for mindfulness and relaxation on diastolic blood pressure (I2 = 0%, t2 = 0.000, P = 0.41 ). The random pooled effect size (MD) was 0.30 (95% CI = −0.81–1.42, P = 0.59 ). REM was used to calculate the pooled effect for mindfulness and relaxation on systolic blood pressure (I2 = 49%, t2 = 3.05, P = 0.10 ). The random pooled effect size (MD) was −1.05 (95% CI = −3.29–1.18, P = 0.36 ). The results of this meta-analysis were influenced by publication bias to some degree. Conclusion. All the results showed less influence of mindfulness and relaxation might act on diastolic or systolic blood pressure, when mindfulness and relaxation are used to intervene in treating CVD and hypertension.


2021 ◽  
Author(s):  
Alessandro Sparacio ◽  
Ivan Ropovik ◽  
Gabriela M. Jiga-Boy ◽  
Hans IJzerman

This meta-analysis explored whether being in nature and emotional social support are effective in reducing levels of stress through a Registered Report. We retrieved all the relevant articles that investigated a connection between one of these two strategies and various components of stress (physiological, affective and cognitive) as well as affective consequences of stress. We followed a stringent analysis workflow (including permutation-based selection models and multilevel regression-based models) to provide publication bias-corrected estimates. We found [no evidence for the efficacy of either strategy/evidence for one of the two strategies/evidence for both strategies] with an estimated mean effect size of [xx/xx] and we recommend [recommendation will be provided if necessary].


Author(s):  
Sohrab Amiri ◽  
Sepideh Behnezhad

Background and objective Depression is a common mental disorder that leads to undesirable consequences. The study of the role of depression in disability pension can provide valuable insights. This study was conducted with the goal of systematic review and meta-analysis of the relationship between depression and disability pension. Methods PubMed, Scopus, PsycInfo, and Google Scholar databases were systematically searched until March 2018. Fifteen prospective cohort studies were selected and included in the meta-analysis. The random-effects method was used to combine the studies. Subgroup analysis was performed, and publication bias was also examined. Results Depression was a risk factor for disability pension (pooled risk ratio =1.68 and 95% confidence interval = 1.50–1.88). In men, pooled risk ratio was 1.82 for the effect of depression on the risk of disability pension (95% confidence interval = 1.45–2.28). In women, pooled risk ratio was 1.62 (95% confidence interval = 1.31–2.02). The results showed that there is publication bias. Conclusions Depression is a factor for retirement due to disability. Therefore, the prevention and treatment of depression can reduce socioeconomic and psychological consequences imposed on society.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 2948-2948
Author(s):  
Emmanuel Apor ◽  
Jennifer O'Brien ◽  
Merin M. Stephen ◽  
Jorge J. Castillo

Abstract Introduction Hematologic malignancies are a heterogeneous group of diseases characterized by the uncontrolled growth of malignant hematopoietic cells. Given this heterogeneity, it is likely that the etiology for these conditions is also diverse and distinct between them. Systemic lupus erythematosus (SLE) is a chronic inflammatory condition that has been associated with an increased risk of developing non-Hodgkin lymphoma (NHL). However, the role of SLE in the etiology of other hematologic malignancies is unclear. The primary objective of our study is to evaluate, using a meta-analysis of observational studies, the association between SLE and NHL, Hodgkin lymphoma (HL), leukemia and myeloma. A secondary objective was to evaluate potential differences according to geographical region. Methods At least two of the investigators performed a MEDLINE search from January 1, 1995 through June 30, 2013 looking for cohort studies reporting on the association between SLE and the risk of developing hematologic malignancies. The search keyword was “lupus AND (leukemia OR lymphoma OR myeloma)”. Data were gathered independently by at least two of the investigators and disagreements were addressed by consensus. The outcome of interest was the standardized incidence ratio (SIR) and 95% confidence interval (CI) of hematological malignancies in adult patients with SLE in comparison with the general population. The outcome was calculated using the random-effects model (REM), which adjusts for inter and intra-study heterogeneity. Additionally, heterogeneity was assessed using the I2 index. I2values of 25%, 50% and 75% indicated low, moderate and severe heterogeneity, respectively. The quality of the studies was assessed separately by at least two of the investigators using the Newcastle-Ottawa scale (NOS). Studies with NOS 1-3, 4-6 and 7-9 were considered of low, intermediate and high quality, respectively. Publication bias was assessed by the trim-and-fill analysis, which identifies and adjusts for imputed unpublished studies. Subset analyses were performed by geographical region (i.e. Asia, Europe and North America). All calculations and graphics obtained using Comprehensive Meta-Analysis version 2.2.050 (Biostat, New Jersey, USA). Results Our initial search found 976 studies, from which 15 studies were included in our analysis. Eight studies (53%) were from Europe, 4 (27%) from North America, 2 (13%) from Asia and 1 (7%) was a multi-national efforts. Cohort studies identified 488 cases of hematologic malignancies among 70,375 individuals (87% women, 13% men) with a diagnosis of SLE. Based on the NOS scale, 12 studies (80%) were considered of high and 3 (20%) of intermediate quality. SLE was associated with increased SIR of NHL (SIR 5.3, 95% CI 3.6-7.9, p<0.001) with high heterogeneity (I2=91%). The increased SIR of NHL was seen in all geographical regions: Europe SIR 6.4 (95% CI 2.9-13.8; p<0.001), North America SIR 4.6 (95% CI 2.6-8.3; p<0.001), Asia SIR 9.2 (95% CI 4.7-18.2; p<0.001). SLE was associated with a high SIR of HL (SIR 3.9, 95% CI 2.4-6.3; p<0.001) with moderate heterogeneity (I2=33%). The SIR of HL was increased in European (SIR 5.5, 95% CI 2.6-11.7; p<0.001) and North American studies (SIR 4.7, 95% CI 1.3-17.1; p=0.017). SLE was also associated with increased SIR of leukemia (SIR 2.3, 95% CI 1.8-2.9, p<0.001) with moderate heterogeneity (I2=49%). The SIR of leukemia was increased in all regions: Europe SIR 3.0 (1.1-7.6; p=0.026), North America SIR 2.2 (1.7-2.8; p<0.001), Asia SIR 2.6 (2.5-2.8; p<0.001). A weaker association was found between SLE and myeloma (SIR 1.5, 95% CI 1.0-2.0, p=0.03) without heterogeneity (I2=0%). Subset analysis by geographical region could not be undertaken in patients with myeloma. Publication bias would have not affected any of our results. Conclusions Compared with the general population, individuals with SLE have an increased SIR of hematologic malignancies. Not surprisingly, SLE was associated with a 5-fold increase in SIRs for NHL. However, SLE was also associated with increased SIR of HL (4-fold), leukemia (2-fold) and, at a lower degree, myeloma (1.5-fold). Our subset analysis showed that SLE increases the SIR of NHL, HL and leukemia regardless of the geographical region. Further studies are needed to elucidate the pathogenetic role of SLE in hematologic malignancies. Disclosures: No relevant conflicts of interest to declare.


2012 ◽  
Vol 43 (1) ◽  
pp. 1-12 ◽  
Author(s):  
W. Wojcik ◽  
W. Lee ◽  
I. Colman ◽  
R. Hardy ◽  
M. Hotopf

BackgroundThe foetal origins hypothesis suggests an association between low birth weight and later depression, yet evidence supporting this association has been inconsistent.MethodWe systematically reviewed evidence for an association between low birth weight and adult depression or psychological distress in the general population by meta-analysis. We searched EMBASE, Medline, PsycINFO and ISI Web of Science for studies reporting observational data with low birth weight as the exposure and self- or clinician-rated depression or psychological distress measures as an outcome. Selective studies of exposures such as famine or outcomes such as severe illness only were excluded. Altogether,1454 studies were screened for relevance, 26 were included in the qualitative synthesis, 18 were included in the meta-analysis. A random effects meta-analysis method was used to obtain a pooled estimate of effect size.ResultsThe odds of depression or psychological distress was greater for those of low birth weight (<2500 g) compared to those of normal birth weight (>2500 g) or greater [odds ratio (OR) 1.15, 95% confidence intervals (CI) 1.00–1.32]. However, this association became non-significant after trim-and-fill correction for publication bias (OR 1.08, 95% CI 0.92–1.27). Using meta-regression, no differences in effect size were observed by gender, outcome measure of depression or psychological distress, or whether the effect size was adjusted for possible confounders.ConclusionsWe found evidence to support a weak association between low birth weight and later depression or psychological distress, which may be due to publication bias. It remains possible that the association may vary according to severity of symptoms or other factors.


F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 826
Author(s):  
Patrizio E. Tressoldi ◽  
Lance Storm

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 peer-reviewed studies published between January 1974 and June 2020 inclusive. The overall effect size will be estimated using a frequentist model and a Bayesian random model. Moderator analysis will be used to examine the influence of level of experience of participants and the type of task. Publication bias will be estimated by using three different tests. Trend analysis will be conducted on the cumulative database.


F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 407 ◽  
Author(s):  
Michael Duggan ◽  
Patrizio Tressoldi

Background: This is an update of the Mossbridge et al’s meta-analysis related to the physiological anticipation preceding seemingly unpredictable stimuli which overall effect size was 0.21; 95% Confidence Intervals: 0.13 - 0.29 Methods: Nineteen new peer and non-peer reviewed studies completed from January 2008 to June 2018 were retrieved describing a total of 27 experiments and 36 associated effect sizes. Results: The overall weighted effect size, estimated with a frequentist multilevel random model, was: 0.28; 95% Confidence Intervals: 0.18-0.38; the overall weighted effect size, estimated with a multilevel Bayesian model, was: 0.28; 95% Credible Intervals: 0.18-0.38. The weighted mean estimate of the effect size of peer reviewed studies was higher than that of non-peer reviewed studies, but with overlapped confidence intervals: Peer reviewed: 0.36; 95% Confidence Intervals: 0.26-0.47; Non-Peer reviewed: 0.22; 95% Confidence Intervals: 0.05-0.39. Similarly, the weighted mean estimate of the effect size of Preregistered studies was higher than that of Non-Preregistered studies: Preregistered: 0.31; 95% Confidence Intervals: 0.18-0.45; No-Preregistered: 0.24; 95% Confidence Intervals: 0.08-0.41. The statistical estimation of the publication bias by using the Copas selection model suggest that the main findings are not contaminated by publication bias. Conclusions: In summary, with this update, the main findings reported in Mossbridge et al’s meta-analysis, are confirmed.


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