Childhood Polyvictimization and Associated Health Outcomes: A Systematic Scoping Review.

Background: Polyvictimization, the experience of multiple types of victimization, is associated with detrimental health outcomes. Despite extensive research on the health consequences of polyvictimization, one challenge in understanding this literature lies in the varied operationalized definitions of polyvictimization and health outcomes. This scoping review provides the volume of the current literature on this topic, documents the varied constructs of polyvictimization and associated health outcomes, identifies knowledge gaps, and guides future research directions. Method: A systematic search of English-language original articles that presented quantitative associations of childhood polyvictimization and health outcomes was performed through six-database searches, a gray literature search, and citation mining from June 2020 to January 2021. The varied constructs of polyvictimization, health outcomes, and other study characteristics were extracted. Results: A total of 96 studies were included. Two ways of creating continuous variables (30.21%) and four ways of constructing categorical variables (72.92%) were identified for operationalizing polyvictimization. The majority of health outcomes were mental, behavioral, or social (96.88%), while slightly more than 10% of studies examined physical health (11.46%) or general health conditions (10.42%), respectively. More than half of studies used U.S. samples (56.25%). Conclusions: The varied constructs of polyvictimization suggests that there is a need to establish a valid polyvictimization construct that is consistently agreed upon in the research community. Findings summarize the specific health outcomes that can be targeted for further investigation and prevention efforts. Findings also suggest that the study of resilience and coping education for childhood polyvictims is sorely needed.

Meta-analysis of the relationship between self-critical perfectionism and depressive symptoms: Comparison between Asian American and Asian international college students.

A body of research has been dedicated to demonstrating the relationship of perfectionism with a range of mental health indicators. Self-critical perfectionism, a component of perfectionism, has been framed primarily in a negative light within the mental health context. Given that research informs educational and clinical practices, it is important to explore the degree to which such findings generalize across cultures and subcultures. The current meta-analytic research systemically collated studies conducted with Asian college students with a particular attention to exploring whether orientation to Asian culture and cultural values correspondingly moderates the relationship between self-critical perfectionism and depressive symptoms. The degree of upholding Asian cultural values was represented by group identity (i.e., Asian American and Asian international). Eleven studies (N = 3,239) were identified through the literature search. Findings from the random-effects meta-analysis indicated a significant relationship between self-critical perfectionism and depressive symptoms in the overall sample. The group identity significantly moderated the relationship; among Asian international college students, self-critical perfectionism appeared to have a less harmful effect on mental distress compared to Asian American college students. Self-cultivation-one of the salient and virtuous Asian cultural values that aligns with self-critical perfectionism-may have motivated continuous striving for self-improvement to fulfill the honorable duty for their family for Asian international students. Additional findings and implications of the study are further discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Linking Big Five Personality Domains and Facets to Alcohol (Mis)Use: A Systematic Review and Meta-Analysis.

AIMS: The goal of this investigation was to synthesize (un)published studies linking Big Five personality domains and facets to a range of alcohol use outcomes. Meta-analyses were conducted to quantify the unique associations between alcohol use outcomes and each Big Five personality domains over and above other domains. Within each domain, meta-analyses also were conducted to examine the unique contribution of each personality facet in predicting alcohol use outcomes. METHODS: Systematic literature reviews were performed in PsycINFO and PubMed using keywords related to alcohol use and personality. Peer-reviewed and unpublished studies were screened and coded for the meta-analyses. A total of 80 independent samples were subjected to correlated effects meta-regressions. RESULTS: Over and above other Big Five personality domains, both conscientiousness and agreeableness were negatively correlated with alcohol consumption, risky/hazardous drinking and negative drinking-related consequences. Facet-level analyses indicated that deliberation and dutifulness were uniquely associated with alcohol (mis)use over and above other conscientiousness facets, and compliance and straightforwardness were uniquely associated with alcohol (mis)use over and above other agreeableness facets. Extraversion-namely excitement seeking-was correlated with alcohol consumption, whereas neuroticism-namely impulsiveness and angry hostility-was correlated with negative drinking-related consequences. CONCLUSIONS: Personality characteristics are robust correlates of alcohol (mis)use. Examining relevant narrowband traits can inform mechanisms by which personality affects drinking behaviors and related problems, and ways to enhance clinical interventions for alcohol use disorder. Gaps in this literature and future research directions are discussed.

Examining the relations between spatial skills and mathematical performance: A meta-analysis.

Much recent research has focused on the relation between spatial skills and mathematical skills, which has resulted in widely reported links between these two skill sets. However, the magnitude of this relation is unclear. Furthermore, it is of interest whether this relation differs in size based on key demographic variables, such as gender and grade-level, and the extent to which this relation can be accounted for by shared domain-general reasoning skills across the two domains. Here we present the results of two meta-analytic studies synthesizing the findings from 45 articles to identify the magnitude of the relation, as well as potential moderators and mediators. The first meta-analysis employed correlated and hierarchical effects meta-regression models to examine the magnitude of the relation between spatial and mathematical skills, and to understand the effect of gender and grade-level on the association. The second meta-analysis employed meta-analytic structural equation modeling to determine how domain-general reasoning skills, specifically fluid reasoning and verbal skills, influence the relationship. Results revealed a positive moderate association between spatial and mathematical skills (r = .36, robust standard error = 0.035, τ2 = 0.039). However, no significant effect of gender or grade-level on the association was found. Additionally, we found that fluid reasoning and verbal skills mediated the relationship between spatial skills and mathematical skills, but a unique relation between the spatial and mathematical skills remained. Implications of these findings include advancing our understanding for how to leverage and bolster students' spatial skills as a mechanism for improving mathematical outcomes.

Biological sex disparity in survival outcomes following treatment for renal cell carcinoma: a systematic review protocol.

OBJECTIVE: This systematic review will assess the biological sex disparity in survival outcomes following treatment for renal cell carcinoma and analyze the estimates of biological sex disparity outcomes following supposed or proposed curative treatment. INTRODUCTION: Renal cell carcinoma is a type of kidney cancer. There is a lack of conformity in the literature on the biological sex disparity in survival outcomes after treatment. This review will help inform the decision-making of clinicians, health care administrators, policy makers, public health workers, and pharmaceutical/biotechnology researchers in predicting positive outcomes following treatment. INCLUSION CRITERIA: The review will consider prospective and retrospective studies on any form of treatment for renal cell carcinoma. The Cox proportional hazard assumption will be used to conduct survival analysis. Hazard rates of participants' survivability across biological sex will also be reported. METHODS: A three-step search strategy will be used. First, a limited search of MEDLINE, Embase, and PsycINFO was conducted and text words in the title, abstract, and index terms were analyzed. Second, a search using identified keywords and index terms will be tailored for all included databases. Third, the reference lists of all included reports and articles will be screened to search for additional studies. There will be no language or date restrictions. Papers not written in English but with a professional translated copy will be included. Study screening, critical appraisal, and data extraction will be conducted independently by pairs of reviewers. Data synthesis will include narrative review and meta-analysis, if appropriate. SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42020195721.

Accommodation-based interventions for individuals experiencing, or at risk of experiencing, homelessness.

Background: Globally, almost 1.6 billion individuals lack adequate housing. Many accommodation-based approaches have evolved across the globe to incorporate additional support and services beyond delivery of housing. Objectives: This review examines the effectiveness of accommodation-based approaches on outcomes including housing stability, health, employment, crime, wellbeing, and cost for individuals experiencing or at risk of experiencing homelessness. Search Methods: The systematic review is based on evidence already identified in two existing EGMs commissioned by the Centre for Homelessness Impact (CHI) and built by White et al. The maps were constructed using a comprehensive three stage search and mapping process. Stage one mapped included studies in an existing systematic review on homelessness, stage two was an extensive search of 17 academic databases, three EGM databases, and eight systematic review databases. Finally stage three included web searches for grey literature, scanning reference lists of included studies and consultation with experts to identify additional literature. We identified 223 unique studies across 551 articles from the effectiveness map on 12th April 2019. Selection Criteria: We include research on all individuals currently experiencing, or at risk of experiencing homelessness irrespective of age or gender, in high-income countries. The Network Meta-Analysis (NMA) contains all study designs where a comparison group was used. This includes randomised controlled trials (RCTs), quasi-experimental designs, matched comparisons and other study designs that attempt to isolate the impact of the intervention on homelessness. The NMA primarily addresses how interventions can reduce homelessness and increase housing stability for those individuals experiencing, or at risk of experiencing, homelessness. Additional outcomes are examined and narratively described. These include: access to mainstream healthcare; crime and justice; employment and income; capabilities and wellbeing; and cost of intervention. These outcomes reflect the domains used in the EGM, with the addition of cost. Data Collection and Analysis: Due to the diverse nature of the literature on accommodation-based approaches, the way in which the approaches are implemented in practice, and the disordered descriptions of the categories, the review team created a novel typology to allow meaningful categorisations for functional and useful comparison between the various intervention types. Once these eligible categories were identified, we undertook dual data extraction, where two authors completed data extraction and risk of bias (ROB) assessments independently for each study. NMA was conducted across outcomes related to housing stability and health.Qualitative data from process evaluations is included using a "Best Fit" Framework synthesis. The purpose of this synthesis is to complement the quantitative evidence and provide a better understanding of what factors influenced programme effectiveness. All included Qualitative data followed the initial framework provided by the five main analytical categories of factors of influence (reflected in the EGM), namely: contextual factors, policy makers/funders, programme administrators/managers/implementing agencies, staff/case workers and recipients of the programme. Main Results: There was a total of 13,128 people included in the review, across 51 reports of 28 studies. Most of the included studies were carried out in the United States of America (25/28), with other locations including Canada and the UK. Sixteen studies were RCTs (57%) and 12 were nonrandomised (quasi-experimental) designs (43%). Assessment of methodological quality and potential for bias was conducted using the second version of the Cochrane Risk of Bias tool for Randomised controlled trials. Nonrandomised studies were coded using the ROBINS- I tool. Out of the 28 studies, three had sufficiently low ROB (11%), 11 (39%) had moderate ROB, and five (18%) presented serious problems with ROB, and nine (32%) demonstrated high, critical problems with their methodology. A NMA on housing stability outcomes demonstrates that interventions offering the highest levels of support alongside unconditional accommodation (High/Unconditional) were more effective in improving housing stability compared to basic support alongside unconditional housing (Basic/Unconditional) (ES=1.10, 95% confidence interval [CI] [0.39, 1.82]), and in comparison to a no-intervention control group (ES=0.62, 95% CI [0.19, 1.06]). A second NMA on health outcomes demonstrates that interventions categorised as offering Moderate/Conditional (ES= 0.36, 95% CI [0.03, 0.69]) and High/Unconditional (ES = 0.22, 95% CI [0.01, 0.43]) support were effective in improving health outcomes compared to no intervention. These effects were smaller than those observed for housing stability. The quality of the evidence was relatively low but varied across the 28 included studies. Depending on the context, finding accommodation for those who need it can be hindered by supply and affordability in the market. The social welfare approach in each jurisdiction can impact heavily on support available and can influence some of the prejudice and stigma surrounding homelessness. The evaluations emphasised the need for collaboration and a shared commitment between policymakers, funders and practitioners which creates community and buy in across sectors and agencies. However, co-ordinating this is difficult and requires sustainability to work. For those implementing programmes, it was important to invest time in developing a culture together to build trust and solid relationships. Additionally, identifying sufficient resources and appropriate referral routes allows for better implementation planning. Involving staff and case workers in creating processes helps drive enthusiasm and energy for the service. Time should be allocated for staff to develop key skills and communicate engage effectively with service users. Finally, staff need time to develop trust and relationships with service users; this goes hand in hand with providing information that is up to date and useful as well making themselves accessible in terms of location and time. Authors' Conclusions: The network meta-analysis suggests that all types of accommodation which provided support are more effective than no intervention or Basic/Unconditional accommodation in terms of housing stability and health. The qualitative evidence synthesis raised a primary issue in relation to context: which was the lack of stable, affordable accommodation and the variability in the rental market, such that actually sourcing accommodation to provide for individuals who are homeless is extremely challenging. Collaboration between stakeholders and practitioners can be fruitful but difficult to coordinate across different agencies and organisations.

Guidance for producing a Campbell evidence and gap map.

Evidence and Gap Maps (EGMs) are a systematic evidence synthesis product which display the available evidence relevant to a specific research question. EGMs are produced following the same principles as a systematic reviews, that is: specify a PICOS, a comprehensive search, screening against explicit inclusion and exclusion criteria, and systematic coding, analysis and reporting. This paper provides guidance on producing EGMs for publication in Campbell Systematic Reviews.

AHRQ series on complex intervention systematic reviews-paper 5: advanced analytic methods.

BACKGROUND AND OBJECTIVE: Advanced analytic methods for synthesizing evidence about complex interventions continue to be developed. In this paper, we emphasize that the specific research question posed in the review should be used as a guide for choosing the appropriate analytic method. METHODS: We present advanced analytic approaches that address four common questions that guide reviews of complex interventions: (1) How effective is the intervention? (2) For whom does the intervention work and in what contexts? (3) What happens when the intervention is implemented? and (4) What decisions are possible given the results of the synthesis? CONCLUSION: The analytic approaches presented in this paper are particularly useful when each primary study differs in components, mechanisms of action, context, implementation, timing, and many other domains.

AHRQ series on complex intervention systematic reviews-paper 7: PRISMA-CI elaboration and explanation.

BACKGROUND: Complex interventions are widely used in health care, public health, education, criminology, social work, business, and welfare. They have increasingly become the subject of systematic reviews and are challenging to effectively report. The Complex Interventions Methods Workgroup developed an extension to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Complex Interventions (PRISMA-CI). RATIONALE: Following the EQUATOR Network guidance for Preferred Reporting Items for Systematic Reviews and Meta-Analysis extensions, this Explanation and Elaboration (EE) document accompanies the PRISMA-CI checklist to promote consistency in reporting of systematic reviews of complex interventions. DISCUSSIONS: The EE document explains the meaning and rationale for each unique PRISMA-CI checklist item and provides examples to assist systematic review authors in operationalizing PRISMA-CI guidance. The Complex Interventions Workgroup developed PRISMA-CI as an important start toward increased consistency in reporting of systematic reviews of complex interventions. Because the field is rapidly expanding, the Complex Interventions Methods Workgroup plans to re-evaluate periodically for the need to add increasing specificity and examples as the field matures.

AHRQ series on complex intervention systematic reviews-paper 6: PRISMA-CI extension statement and checklist.

BACKGROUND: Complex interventions are widely used in health systems, public health, education, and communities and are increasingly the subject of systematic reviews. Oversimplification and inconsistencies in reporting about complex interventions can limit the usability of review findings. RATIONALE: Although guidance exists to ensure that reports of individual studies and systematic reviews adhere to accepted scientific standards, their design-specific focus leaves important reporting gaps relative to complex interventions in health care. This paper provides a stand-alone extension to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting tool for complex interventions-PRISMA-CI-to help authors, publishers, and readers understand and apply to systematic reviews of complex interventions. DISCUSSION: PRISMA-CI development followed the Enhancing the QUAlity and Transparency Of health Research Network guidance for extensions and focused on adding or modifying only essential items that are truly unique to complex interventions and are not covered by broader interpretation of current PRISMA guidance. PRISMA-CI provides an important structure and guidance for systematic reviews and meta-analyses for the highly prevalent and dynamic field of complex interventions.

Developmental Course and Determinants of Sleep Disturbances in Adolescents With Spina Bifida.

OBJECTIVES: To examine (1) trajectories of sleep disturbances in adolescents with spina bifida (SB) compared with a typically developing (TD) group over a 10-year period and (2) individual, family, and socioeconomic determinants of changes in sleep disturbances. METHODS: Participants were 68 families of youth with SB and 68 families of TD youth. Parent-report of adolescent sleep was collected every 2 years at 6 time points (T1: ages 8-9; T6: ages 18-19). Multiple informants and measures were used to examine internalizing, externalizing, and inattention symptoms, dyadic/family conflict, socioeconomic status (SES), and family income. RESULTS: Sleep disturbances increased over the 10-year period. Youth with SB had greater sleep disturbances during early adolescence. Greater preadolescent externalizing symptoms, greater parent-child and marital conflict, and lower SES predicted increased sleep disturbances. CONCLUSIONS: Sleep disturbances are common and persistent in adolescents with SB. Sleep assessment and management are important clinical and research priorities in this population.

The use of meta-analytic statistical significance testing.

Meta-analysis multiplicity, the concept of conducting multiple tests of statistical significance within one review, is an underdeveloped literature. We address this issue by considering how Type I errors can impact meta-analytic results, suggest how statistical power may be affected through the use of multiplicity corrections, and propose how meta-analysts should analyze multiple tests of statistical significance. The context for this study is a meta-review of meta-analyses published in two leading review journals in education and psychology. Our review of 130 meta-analyses revealed a strong reliance on statistical significance testing without consideration of Type I errors or the use of multiplicity corrections. In order to provide valid conclusions, meta-analysts must consider these issues prior to conducting the review.

Identifying, documenting, and examining heterogeneity in systematic reviews of complex interventions.

This article describes approaches for planning, dealing, and analyzing heterogeneity in a systematic review of complex interventions. Approaches aim to generate a priori hypotheses of the mechanism of action of a complex intervention to identify the key variables that might contribute to variation among studies and guide statistical analysis. In addition to characteristics related to the population, intervention, and outcomes, we describe study-related variables, such as the way the interventions have been implemented and the context and conduct of studies. These approaches will guide reviewers planning a meta-analysis and provide a rationale for not meta-analyzing data if there is too much variability. Potential difficulties in applying meta-analytical techniques to examine statistical association among study results and sources of potential heterogeneity are described; these include the selection of a fixed or random-effects model, the risk of multiple testing and confounding when studies include different aspects of a complex intervention or different subsamples of the intended participant pool.

Combining individual participant and aggregated data in a meta-analysis with correlational studies.

This paper presents methods for combining individual participant data (IPD) with aggregated study level data (AD) in a meta-analysis of correlational studies. Although medical researchers have employed IPD in a wide range of studies, only a single example exists in the social sciences. New policies at the National Science Foundation requiring grantees to submit data archiving plans may increase social scientists' access to individual level data that could be combined with traditional meta-analysis. The methods presented here extend prior work on IPD to meta-analyses using correlational studies. The examples presented illustrate the synthesis of publicly available national datasets in education with aggregated study data from a meta-analysis examining the correlation of socioeconomic status measures and academic achievement. The major benefit of the inclusion of the individual level is that both within-study and between-study interactions among moderators of effect size can be estimated. Given the potential growth in data archives in the social sciences, we should see a corresponding increase in the ability to synthesize IPD and AD in a single meta-analysis, leading to a more complete understanding of how within-study and between-study moderators relate to effect size. Copyright © 2012 John Wiley & Sons, Ltd.