The role of lifetime stressors in adult fibromyalgia: systematic review and meta-analysis of case-control studies

AbstractBackgroundFibromyalgia is a chronic condition characterised by widespread musculoskeletal pain. Although accumulating evidence suggests that exposure to stressful events increases the risk for this complex disorder, this is the first meta-analysis to compare the impact of a full range of lifetime stressors (e.g. physical trauma through to emotional neglect) on adult fibromyalgia.MethodsThis review was performed in accordance with PRISMA guidelines. Random-effects models examined associations between different stressor exposures and fibromyalgia status with meta-regression investigating the effects of publication year and study quality on effect sizes.ResultsNineteen studies were included in the meta-analysis. Significant associations with fibromyalgia status were observed for all six exposure types examined: odds ratios (OR) were highest for physical abuse (OR 3.23, 95% confidence interval 1.99–5.23) and total abuse (3.06, 1.71–5.46); intermediate for sexual abuse (2.65, 1.85–3.79) and smaller for medical trauma (1.80, 1.19–2.71), other lifetime stressors (1.70, 1.31–2.20), and emotional abuse (1.52, 1.27–1.81). Results were not significantly changed when childhood, as opposed to adult, exposures were used in studies that reported both. Meta-regression analyses demonstrated no effect of publication year or study quality on effect sizes.ConclusionsThis study confirmed a significant association between stressor exposure and adult fibromyalgia with the strongest associations observed for physical abuse. Limitations related to current available literature were identified; we provide several suggestions for how these can be addressed in future studies. Stressors are likely to be one of many risk factors for fibromyalgia which we argue is best approached from a biopsychosocial perspective.

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Testing the cycle of maltreatment hypothesis: Meta-analytic evidence of the intergenerational transmission of child maltreatment

Development and Psychopathology ◽

10.1017/s0954579418001700 ◽

2019 ◽

Vol 31 (1) ◽

pp. 23-51 ◽

Cited By ~ 42

Author(s):

Sheri Madigan ◽

Chantal Cyr ◽

Rachel Eirich ◽

R. M. Pasco Fearon ◽

Anh Ly ◽

...

Keyword(s):

Physical Abuse ◽

Intergenerational Transmission ◽

Emotional Abuse ◽

Methodological Quality ◽

Data Extraction ◽

Meta Analysis ◽

Effect Sizes ◽

Future Research ◽

Methodological Rigor ◽

History Of

AbstractIt has long been claimed that “maltreatment begets maltreatment,” that is, a parent's history of maltreatment increases the risk that his or her child will also suffer maltreatment. However, significant methodological concerns have been raised regarding evidence supporting this assertion, with some arguing that the association weakens in samples with higher methodological rigor. In the current study, the intergenerational transmission of maltreatment hypothesis is examined in 142 studies (149 samples; 227,918 dyads) that underwent a methodological quality review, as well as data extraction on a number of potential moderator variables. Results reveal a modest association of intergenerational maltreatment (k= 80;d= 0.45, 95% confidence interval; CI [0.37, 0.54]). Support for the intergenerational transmission of specific maltreatment types was also observed (neglect:k= 13,d= 0.24, 95% CI [0.11, 0.37]; physical abuse:k= 61,d= 0.41, 95% CI [0.33, 0.49]; emotional abuse:k= 18,d= 0.57, 95% CI [0.43, 0.71]; sexual abuse:k= 18,d= 0.39, 95% CI [0.24, 0.55]). Methodological quality only emerged as a significant moderator of the intergenerational transmission of physical abuse, with a weakening of effect sizes as methodological rigor increased. Evidence from this meta-analysis confirms the cycle of maltreatment hypothesis, although effect sizes were modest. Future research should focus on deepening understanding of mechanisms of transmission, as well as identifying protective factors that can effectively break the cycle of maltreatment.

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A-54 The Relationship between Age and MMSE Performance Amongst Individuals with Heart Failure

Archives of Clinical Neuropsychology ◽

10.1093/arclin/acab062.72 ◽

2021 ◽

Vol 36 (6) ◽

pp. 1096-1096

Author(s):

Natasha Nemanim ◽

Nicholas Lackey ◽

Eric J Connors ◽

Alexander O Hauson ◽

Anna Pollard ◽

...

Keyword(s):

Heart Failure ◽

Meta Analysis ◽

Included Study ◽

Effect Sizes ◽

Medium Effect ◽

Future Research ◽

Global Cognition ◽

Meta Regression ◽

K 12 ◽

The Impact

Abstract Objective A previous meta-analysis assessing the impact of heart failure (HF) on cognition found the HF group performed more poorly than the healthy control (HC) on global cognition measures. The study observed a medium effect and moderate heterogeneity when using the Mini-Mental Status Examination (MMSE) to measure HF’s impact on global cognition. The current meta-regression explores whether the mean age of the HF group moderates performance on the MMSE when comparing HF patients to HC. Data Selection Two researchers independently searched eight databases, extracted data, and calculated effect sizes as part of a larger study. Inclusion criteria were: (a) adults with a diagnosis of HF, (b) comparison of HF patients to HC, and (c) adequate data to calculate effect sizes. Articles were excluded if patients had other types of organ failure, the article was not available in English, or there was a risk of sample overlap with another included study. Twelve articles (HF n = 1166 and HC n = 1948) were included. The unrestricted maximum likelihood computational model was used for the meta-regression. Data Synthesis Studies included in the meta-regression evidenced a statistically significant medium effect size estimate with moderate heterogeneity (k = 12, g = 0.671, p < 0.001, I2 = 80.91%). The meta-regression was statistically significant (slope = −0.023, p = 0.0022, Qmodel = 5.26, df = 1, p = 0.022). Conclusions Individuals with HF performed more poorly on the MMSE than HC. Larger effect sizes on the MMSE were observed in studies with participants who were younger compared to studies with participants who were older. Future research should continue to delineate the impact of age on global cognition in individuals with HF.

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A Meta-Analysis of Childhood Maltreatment in Relation to Psychopathic Traits

10.31234/osf.io/4syjt ◽

2021 ◽

Author(s):

Corine de Ruiter ◽

Matthias Burghart ◽

Raneesha De Silva ◽

Sara Griesbeck Garcia ◽

Ushna Mian ◽

...

Keyword(s):

Physical Abuse ◽

Childhood Maltreatment ◽

Emotional Abuse ◽

Complex Trauma ◽

Meta Analysis ◽

Therapeutic Interventions ◽

Effect Sizes ◽

Social Deviance ◽

Abuse And Neglect

Psychopathy is a personality disorder characterized by a mix of traits belonging to four facets: affective (e.g., callous/lack of empathy), interpersonal (e.g., grandiosity), behavioral instability (e.g., impulsivity, poor behavioral controls), and social deviance (e.g., juvenile delinquency, criminal versatility). Several scholars have argued that early childhood maltreatment impacts the development of psychopathy, although views regarding its role in the four facets differ. We conducted a meta-analysis including 47 studies comprising a total of 349 effect sizes and 12,737 participants, to investigate the association between the four psychopathy facets and four types of child maltreatment: physical abuse, emotional abuse, neglect, and sexual abuse.We found support for a moderate link between overall psychopathy and childhood physical abuse, emotional abuse, and neglect, as well as overall childhood maltreatment. The link between psychopathy and childhood sexual abuse was small, but still significant. These associations were stronger for the behavioral and antisocial facets than for the affective and interpersonal facets of psychopathy, but nearly all associations were significant. Our findings are consistent with recently developed theories on the role of complex trauma in the development of severe personality disorders. Trauma-focused preventive and therapeutic interventions can provide further tests of the trauma-psychopathy hypothesis.

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A protocol for the systematic review and meta-analysis of thigmotactic behaviour in the open field test in rodent models associated with persistent pain

BMJ Open Science ◽

10.1136/bmjos-2020-100135 ◽

2021 ◽

Vol 5 (1) ◽

pp. e100135

Author(s):

Xue Ying Zhang ◽

Jan Vollert ◽

Emily S Sena ◽

Andrew SC Rice ◽

Nadia Soliman

Keyword(s):

Systematic Review ◽

Outcome Measure ◽

Meta Analysis ◽

Persistent Pain ◽

Effect Sizes ◽

Bias Assessment ◽

Animal Pain ◽

Trim And Fill ◽

Meta Analyses ◽

The Impact

ObjectiveThigmotaxis is an innate predator avoidance behaviour of rodents and is enhanced when animals are under stress. It is characterised by the preference of a rodent to seek shelter, rather than expose itself to the aversive open area. The behaviour has been proposed to be a measurable construct that can address the impact of pain on rodent behaviour. This systematic review will assess whether thigmotaxis can be influenced by experimental persistent pain and attenuated by pharmacological interventions in rodents.Search strategyWe will conduct search on three electronic databases to identify studies in which thigmotaxis was used as an outcome measure contextualised to a rodent model associated with persistent pain. All studies published until the date of the search will be considered.Screening and annotationTwo independent reviewers will screen studies based on the order of (1) titles and abstracts, and (2) full texts.Data management and reportingFor meta-analysis, we will extract thigmotactic behavioural data and calculate effect sizes. Effect sizes will be combined using a random-effects model. We will assess heterogeneity and identify sources of heterogeneity. A risk-of-bias assessment will be conducted to evaluate study quality. Publication bias will be assessed using funnel plots, Egger’s regression and trim-and-fill analysis. We will also extract stimulus-evoked limb withdrawal data to assess its correlation with thigmotaxis in the same animals. The evidence obtained will provide a comprehensive understanding of the strengths and limitations of using thigmotactic outcome measure in animal pain research so that future experimental designs can be optimised. We will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines and disseminate the review findings through publication and conference presentation.

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When does the use of individual patient data in network meta-analysis make a difference? A simulation study

BMC Medical Research Methodology ◽

10.1186/s12874-020-01198-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Steve Kanters ◽

Mohammad Ehsanul Karim ◽

Kristian Thorlund ◽

Aslam Anis ◽

Nick Bansback

Keyword(s):

Simulation Study ◽

Treatment Effect ◽

Mean Squared Error ◽

Individual Patient Data ◽

Meta Analysis ◽

Model Performance ◽

Patient Data ◽

Meta Regression ◽

Treatment Comparisons ◽

The Impact

Abstract Background The use of individual patient data (IPD) in network meta-analyses (NMA) is rapidly growing. This study aimed to determine, through simulations, the impact of select factors on the validity and precision of NMA estimates when combining IPD and aggregate data (AgD) relative to using AgD only. Methods Three analysis strategies were compared via simulations: 1) AgD NMA without adjustments (AgD-NMA); 2) AgD NMA with meta-regression (AgD-NMA-MR); and 3) IPD-AgD NMA with meta-regression (IPD-NMA). We compared 108 parameter permutations: number of network nodes (3, 5 or 10); proportion of treatment comparisons informed by IPD (low, medium or high); equal size trials (2-armed with 200 patients per arm) or larger IPD trials (500 patients per arm); sparse or well-populated networks; and type of effect-modification (none, constant across treatment comparisons, or exchangeable). Data were generated over 200 simulations for each combination of parameters, each using linear regression with Normal distributions. To assess model performance and estimate validity, the mean squared error (MSE) and bias of treatment-effect and covariate estimates were collected. Standard errors (SE) and percentiles were used to compare estimate precision. Results Overall, IPD-NMA performed best in terms of validity and precision. The median MSE was lower in the IPD-NMA in 88 of 108 scenarios (similar results otherwise). On average, the IPD-NMA median MSE was 0.54 times the median using AgD-NMA-MR. Similarly, the SEs of the IPD-NMA treatment-effect estimates were 1/5 the size of AgD-NMA-MR SEs. The magnitude of superior validity and precision of using IPD-NMA varied across scenarios and was associated with the amount of IPD. Using IPD in small or sparse networks consistently led to improved validity and precision; however, in large/dense networks IPD tended to have negligible impact if too few IPD were included. Similar results also apply to the meta-regression coefficient estimates. Conclusions Our simulation study suggests that the use of IPD in NMA will considerably improve the validity and precision of estimates of treatment effect and regression coefficients in the most NMA IPD data-scenarios. However, IPD may not add meaningful validity and precision to NMAs of large and dense treatment networks when negligible IPD are used.

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A meta-analysis of the capitalisation of CAP direct payments into land prices

European Review of Agricultural Economics ◽

10.1093/erae/jbab014 ◽

2021 ◽

Author(s):

Alessandro Varacca ◽

Giovanni Guastella ◽

Stefano Pareglio ◽

Paolo Sckokai

Keyword(s):

Agricultural Policy ◽

Meta Analysis ◽

Extensive Review ◽

The European Union ◽

Decoupled Payments ◽

Land Prices ◽

Implementation Scheme ◽

Direct Payments ◽

Meta Regression ◽

The Impact

Abstract The impact of the European Union common agricultural policy direct payments on land prices has received substantial attention in recent years, leading to heterogeneous evidence of capitalisation for both coupled and decoupled payments. In this paper, we provide an extensive review of the empirical works addressing this issue econometrically and compare their results through a Bayesian meta-regression model, focussing on the impact of decoupling and its implementation schemes. We find that the introduction of decoupled payments increased the capitalisation rate, although the extent of this increment hinges on the implementation scheme adopted by the member state.

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The Relationship Between Study Quality and the Effects of Supplemental Reading Interventions: A Meta-Analysis

Council review ◽

10.1177/0014402918796164 ◽

2018 ◽

Vol 85 (3) ◽

pp. 347-366

Author(s):

Christy R. Austin ◽

Jeanne Wanzek ◽

Nancy K. Scammacca ◽

Sharon Vaughn ◽

Samantha A. Gesel ◽

...

Keyword(s):

Reading Skills ◽

Reading Interventions ◽

Meta Analysis ◽

Statistical Treatment ◽

Effect Sizes ◽

Type I ◽

Supplemental Reading ◽

Study Quality ◽

Standardized Measures ◽

Treatment Type

Empirical studies investigating supplemental reading interventions for students with or at risk for reading disabilities in the early elementary grades have demonstrated a range of effect sizes. Identifying the findings from high-quality research can provide greater certainty of findings related to the effectiveness of supplemental reading interventions. This meta-analysis investigated how four variables of study quality (study design, statistical treatment, Type I error, and fidelity of implementation) were related to effect sizes from standardized measures of foundational reading skills and language and comprehension. The results from 88 studies indicated that year of publication was a significant predictor of effect sizes for both standardized measures of foundational reading skills and language and comprehension, with more recent studies demonstrating smaller effect sizes. Results also demonstrated that with the exception of research design predicting effect sizes on foundational reading skills measures, study quality was not related to the effects of supplemental reading interventions. Implications for research and practice are discussed.

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Physical Abuse, Emotional Abuse, and Neglect and Childhood Behavior Problems: A Meta-Analysis of Studies in Mainland China

Trauma Violence & Abuse ◽

10.1177/1524838018757750 ◽

2018 ◽

Vol 21 (1) ◽

pp. 206-224 ◽

Cited By ~ 2

Author(s):

Naixue Cui ◽

Jianghong Liu

Keyword(s):

Child Maltreatment ◽

Behavior Problems ◽

Emotional Abuse ◽

Meta Analysis ◽

Mainland China ◽

Effect Sizes ◽

Childhood Behavior ◽

Abuse And Neglect ◽

Meta Analyses ◽

Childhood Behavior Problems

The relationship between three types of child maltreatment, including physical abuse, emotional abuse and neglect, and childhood behavior problems in Mainland China, has not been systematically examined. This meta-analysis reviewed findings from 42 studies conducted in 98,749 children in Mainland China and analyzed the pooled effect sizes of the associations between child maltreatment and childhood behavior problems, heterogeneity in study findings, and publication bias. In addition, this study explored cross-study similarities/differences by comparing the pooled estimates with findings from five existing meta-analyses. Equivalent small-to-moderate effect sizes emerged in the relationships between the three types of maltreatment and child externalizing and internalizing behaviors, except that emotional abuse related more to internalizing than externalizing behaviors. Considerable heterogeneity exists among the 42 studies. Weak evidence suggests that child gender and reporter of emotional abuse may moderate the strengths of the relationships between child maltreatment and behavior problems. No indication of publication bias emerged. Cross-study comparisons show that the pooled effect sizes in this meta-analysis are about equal to those reported in the five meta-analyses conducted in child and adult populations across the world. Findings urge relevant agencies in Mainland China to build an effective child protection system to prevent child maltreatment.

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Lag as moderator meta-analysis: A methodological approach for synthesizing longitudinal data

International Journal of Behavioral Development ◽

10.1177/0165025418773461 ◽

2018 ◽

Vol 43 (1) ◽

pp. 80-89 ◽

Cited By ~ 2

Author(s):

Noel A. Card

Keyword(s):

Longitudinal Data ◽

Human Development ◽

Longitudinal Research ◽

Meta Analysis ◽

Methodological Approach ◽

Mixed Effects ◽

Effect Sizes ◽

Time Lags ◽

Research Findings ◽

The Impact

Longitudinal data are common and essential to understanding human development. This paper introduces an approach to synthesizing longitudinal research findings called lag as moderator meta-analysis (LAMMA). This approach capitalizes on between-study variability in time lags studied in order to identify the impact of lag on estimates of stability and longitudinal prediction. The paper introduces linear, nonlinear, and mixed-effects approaches to LAMMA, and presents an illustrative example (with syntax and annotated output available as online Supplementary Materials). Several extensions of the basic LAMMA are considered, including artifact correction, multiple effect sizes from studies, and incorporating age as a predictor. It is hoped that LAMMA provides a framework for synthesizing longitudinal data to promote greater accumulation of knowledge in developmental science.

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