Variance In Outcomes Research Articles

Incremental Versus Immediate Induction of Hypertension in the Treatment of Delayed Cerebral Ischemia After Subarachnoid Hemorrhage

BackgroundDelayed cerebral ischemia (DCI) is a common complication of aneurysmal subarachnoid hemorrhage and contributes to unfavorable outcome. In patients with deterioration despite prophylactic nimodipine treatment, induced hypertension (iHTN) can be considered, although the safety and efficacy of induction are still a matter of debate. In this study, two iHTN treatment algorithms were compared with different approaches toward setting pressure targets.MethodsIn a cohort of 325 consecutive patients with subarachnoid hemorrhage, 139 patients were treated by induced hypertension as a first tier treatment. On diagnosing DCI, blood pressure was raised via norepinephrine infusion in 20-mm Hg increments in 37 patients (iHTNincr), whereas 102 patients were treated by immediate elevation to systolic pressure above 180 mm Hg (iHTNimm). Treatment choice was based on personal preference of the treating physician but with a gradual shift away from incremental elevation. Both groups were evaluated for DCI-caused infarction, the need of additional endovascular rescue treatment, the occurrence of pressor-treatment-related complications, and clinical outcome assessed by the extended Glasgow outcome scale after 12 months.ResultsThe rate of refractory DCI requiring additional rescue therapy was comparable in both groups (48.9% in iHTNincr, 40.0% in iHTNimm; p = 0.332). The type of induced hypertension was not independently associated with the occurrence of DCI-related infarction in a logistic regression model (odds ratio 1.004; 95% confidence interval 0.329–3.443; p = 0.942). Similar rates of pressor-treatment-related complications were observed in both treatment groups. Favorable outcome was reached in 44 (43.1%) patients in the immediate vs. 10 (27.0%) patients in the incremental treatment group (p = 0.076). However, only Hunt and Hess grading was identified as an independent predictor variable of clinical outcome (odds ratio 0.422; 95% confidence interval 0.216–0.824; p = 0.012).ConclusionsImmediate induction of hypertension with higher pressure targets did not result in a lower rate of DCI-related infarctions but was not associated with a higher complication rate compared with an incremental approach. Future tailored blood pressure management based on patient- and time-point-specific needs will hopefully better balance the neurological advantages versus the systemic complications of induced hypertension.

Impact of fluctuating developmental temperatures on phenotypic traits in reptiles: a meta-analysis.

During the vulnerable stages of early life, most ectothermic animals experience hourly and diel fluctuations in temperature as air temperatures change. While we know a great deal about how different constant temperatures impact the phenotypes of developing ectotherms, we know remarkably little about the impacts of temperature fluctuations on the development of ectotherms. In this study, we used a meta-analytic approach to compare the mean and variance of phenotypic outcomes from constant and fluctuating incubation temperatures across reptile species. We found that fluctuating temperatures provided a small benefit (higher hatching success and shorter incubation durations) at cool mean temperatures compared with constant temperatures, but had a negative effect at warm mean temperatures. In addition, more extreme temperature fluctuations led to greater reductions in embryonic survival compared with moderate temperature fluctuations. Within the limited data available from species with temperature-dependent sex determination, embryos had a higher chance of developing as female when developing in fluctuating temperatures compared with those developing in constant temperatures. With our meta-analytic approach, we identified average mean nest temperatures across all taxa where reptiles switch from receiving benefits to incurring costs when incubation temperatures fluctuate. More broadly, our study indicates that the impact of fluctuating developmental temperature on some phenotypes in ectothermic taxa are likely to be predictable via integration of developmental temperature profiles with thermal performance curves.

Examining the association between group context effects and individual outcomes in an interdisciplinary group-based treatment for chronic pain based on acceptance and commitment therapy.

BackgroundAlthough cognitive-behavioural treatments for chronic pain are delivered in groups, there is little research investigating group effects in these treatments.PurposeThe aim of this study was to investigate associations between group composition variables at the start of treatment and individual outcomes following intensive interdisciplinary treatment for pain based on Acceptance and Commitment Therapy.MethodsThis was a secondary analysis of routinely collected observational data. Five-hundred and sixteen patients completed a standard set of demographic, pain-related and psychosocial measures at pre- and post-treatment. Intracluster correlations (ICCs) were computed to examine the clustering of outcomes within groups and multilevel models explored the association between group composition variables and individual level outcomes.ResultsThe ICCs for pain intensity (0.11) and interference (0.09) suggested that multilevel models were warranted for these outcomes, while a multilevel model for post-treatment depression (ICC = 0.04) was not warranted. Group percentage of participants receiving disability benefits and group mean pain intensity at pre-treatment were significantly positively associated with individual level pain intensity at post-treatment, controlling for pre-treatment individual level pain intensity. Group mean pain intensity at pre-treatment was the only group variable that significantly predicted post-treatment pain interference at the individual level. Psychosocial group composition variables were not significantly associated with individual level outcomes.ConclusionGiven the limited predictive utility of group composition variables in the current study, future research should undertake direct assessment of group level therapeutic and countertherapeutic processes to advance understanding of who benefits from group treatments for pain and how. As the variance in outcomes accounted for by group clustering was relatively small and significant within groups variance remained, research is also needed to further understand individual level factors that influence cognitive-behavioural treatment outcomes for pain.

Benefits of mindfulness in academic settings: trait mindfulness has incremental validity over motivational factors in predicting academic affect, cognition, and behavior

BackgroundAchievement motivation research has established that motivational factors predict academic affect, cognition, and behavior. Recent studies have shown that trait mindfulness might also predict these academic outcomes. However, it remains unclear whether trait mindfulness has incremental validity over motivational factors. We hypothesized that trait mindfulness would explain unique variance in academic outcomes beyond motivational factors, because mindfulness that is characterized by the being mode of mind (i.e., a present-focused, non-striving, and accepting mind mode) would contribute to academic outcomes through unique and effective self-regulatory processes (i.e., bottom-up self-regulation of learning and present-focused, acceptance-based self-regulation of academic stress), which differ from those (i.e., top-down self-regulation of learning and future-focused, change-oriented self-regulation of academic stress) promoted by motivational factors that are characterized by the doing mode of mind (i.e., a goal-oriented, striving, and change-seeking mind mode). We tested the hypothesis by examining four established motivational factors (competence perception, implicit theory of intelligence, achievement goals, and autonomous and controlled academic reasons) and five outcome variables (test anxiety, enjoyment of learning, study strategy, mind-wandering, and help-seeking avoidance) that had been investigated in both the trait mindfulness and achievement motivation literatures.MethodsOne hundred and seventy-five students (104 females) were recruited from undergraduate psychology and cultural studies classes at two universities in Japan. Trait mindfulness was assessed using the Five Facet Mindfulness Questionnaire. The other study variables were assessed using established measures as well. We conducted hierarchical multiple regression analyses to test the hypothesis.ResultsTrait mindfulness predicted four of the five outcome variables (i.e., test anxiety, enjoyment of learning, mind-wandering, and help-seeking avoidance) after controlling for the motivational factors. The acting-with-awareness facet predicted three outcome variables, whereas the other facets predicted one outcome each.ConclusionsThis study supports the incremental validity of trait mindfulness relative to motivational factors, suggesting that not only the doing mode of mind but also the being mode is beneficial for academic learning.

The influence of social determinants of education on nursing student persistence and professional values.

Schools of Nursing are challenged to increase student diversification as there continues to be documented college achievement gaps in students who come from under-resourced, low socioeconomic communities with difficult environmental constraints and lifestyle issues. The purpose of this 3-year study was to test a social determinants of education (SDE) model with 400 diverse nursing students. The SDE framework was analyzed using structural equation modeling (SEM)) to estimate the influence of background social determinants, emotional intelligence and lifestyle on students' ability to integrate into collegiate academic and social support systems and to persist to graduation with professional values. Qualitative analysis was completed on student input on support. Social determinants student lifestyles and emotional intelligence explained over 26% of the variance of academic integration, and academic integration explained over 19% of the variance of the student outcome of persistence. 11% of professional values was accounted for by the combination of parent education, social support, lifestyle and emotional intelligence, academic integration, and persistence. Qualitative analyses also supported the SDE Framework with themes that included life balance, academic relationships and communication, and career. The SDE Framework offers faculty and administrators with targeted factors to consider when assessing and providing resources to enable students to achieve their maximal capacity to succeed in college and in their careers.

Self‐compassion at work: A self‐regulation perspective on its beneficial effects for work performance and wellbeing

AbstractThe work environment is fraught with complex demands, hardships, and challenges, highlighting the need to approach work with self‐compassion each day. We propose that work self‐compassion—a mindset of kindness, gentleness, and care toward oneself as an employee—may generate the resources and motivation needed for self‐regulation at work. Drawing from integrated self‐control theory (ISCT) and theory on self‐compassion, we suggest that on days when employees hold a work self‐compassionate mindset, they will exhibit greater work performance and wellbeing via enhanced resource capacity and motivation. In an experimental experience sampling study, we found that a work self‐compassionate mindset reduced depletion and increased work self‐esteem and thereby heightened daily work engagement and daily resilience. Consequently, employees made greater goal progress at work and experienced higher meaning in life. In a supplemental study, we show that state self‐compassion at work is associated with unique variance in work outcomes beyond compassion received from coworkers. We discuss theoretical and practical implications for self‐compassion in organizational contexts.

Examining the utility of nonlinear machine learning approaches versus linear regression for predicting body image outcomes: The U.S. Body Project I

Most body image studies assess only linear relations between predictors and outcome variables, relying on techniques such as multiple Linear Regression. These predictor variables are often validated multi-item measures that aggregate individual items into a single scale. The advent of machine learning has made it possible to apply Nonlinear Regression algorithms—such as Random Forest and Deep Neural Networks—to identify potentially complex linear and nonlinear connections between a multitude of predictors (e.g., all individual items from a scale) and outcome (output) variables. Using a national dataset, we tested the extent to which these techniques allowed us to explain a greater share of the variance in body-image outcomes (adjusted R2) than possible with Linear Regression. We examined how well the connections between body dissatisfaction and dieting behavior could be predicted from demographic factors and measures derived from objectification theory and the tripartite-influence model. In this particular case, although Random Forest analyses sometimes provided greater predictive power than Linear Regression models, the advantages were small. More generally, however, this paper demonstrates how body image researchers might harness the power of machine learning techniques to identify previously undiscovered relations among body image variables.

Clinical and angiographic success and safety comparison of coronary intravascular lithotripsy: An updated meta-analysis.

BackgroundIntravascular lithotripsy (IVL) can be used to assist stent deployment in severe coronary artery calcifications (CAC).MethodsStudies employing IVL for CAC lesions were included. The primary outcomes included clinical and angiographic success. The secondary outcomes, including lumen gain, maximum calcium thickness, and calcium angle at the final angiography site, minimal lumen area site, and minimal stent area site, were analyzed by the random-effects model to calculate the pooled standardized mean difference. Tertiary outcomes included safety event ratios.ResultsSeven studies (760 patients) were included. The primary outcomes: pooled clinical and angiographic success event ratio parentage of IVL was 94.4% and 94.8%, respectively. On a random effect model for standard inverse variance for secondary outcomes showed: minimal lumen diameter increase with IVL was 4.68 mm (p-value < 0.0001, 95% CI 1.69–5.32); diameter decrease in the stenotic area after IVL session was −5.23 mm (95 CI –22.6–12.8). At the minimal lumen area (MLA) and final minimal stent area (MSA) sites, mean lumen area gain was 1.42 mm2 (95% CI 1.06–1.63; p < 0.00001) and 1.34 mm2 (95% CI 0.71–1.43; p < 0.00001), respectively. IVL reduced calcium thickness at the MLA site (SMD −0.22; 95% CI −0.40–0.04; P = 0.02); calcium angle was not affected at the MLA site. The tertiary outcomes: most common complication was major adverse cardiovascular events (n = 48/669), and least common complication was abrupt closure of the vessel (n = 1/669).ConclusionsEvidence suggests that IVL safely and effectively facilitates stent deployment with high angiographic and clinical success rates in treating severely calcified coronary lesions.

Preliminary evidence of contextual factors' influence on weight loss treatment outcomes: implications for future research.

Background/Objectives:Behavioral health interventions, including behavioral obesity treatment, typically target psychosocial qualities of the individual (e.g., knowledge, self-efficacy) that are largely treated as persistent, over momentary contextual factors (e.g., affect, environmental conditions). The variance in treatment outcomes that can be attributable to these two sources is rarely quantified but may help inform future research and treatment development efforts.Subjects/Methods:The intraclass correlation coefficient (ICC) for weekly weight loss was calculated in three studies involving 10–12 weeks of behavioral obesity treatment delivered to adults via in-person group sessions, mobile application, or website. The ICC explains the proportion of variance between versus within individuals, and was used to infer the contribution of individual versus contextual factors to weekly weight loss. The analytic approach involved unconditional linear mixed effect models with a random effect for subject.Results:The ICCs were very low, ranging from 0.01 to 0.06, suggesting that momentary contextual factors may influence obesity treatment outcomes to a substantial degree.Conclusions:This study yielded preliminary evidence that the influence of contextual factors in behavioral obesity treatment may be underappreciated. Future research is needed to simultaneously identify and quantify sources of within- and between-subjects variance to optimize treatment approaches.

Exploring the links between teaching approaches and student outcomes at a residential setting

In this case study, we used a mixed-methods approach to identify the characteristics of environmental education (EE) lessons most positively associated with students’ environmental literacy outcomes at one residential EE center in the U.S. Students attending residential EE programs spend multiple days participating in numerous lessons, activities, and experiences, resulting in perhaps more opportunities to enhance students’ knowledge, attitudes, skills, and behavioral intentions related to environmental literacy. To explore what teaching approaches were most effective at enhancing immediate student outcomes and to provide insights for practitioners, we observed 80 lessons, tracked 20 observable teaching approaches, and administered questionnaires to measure students’ self-reported changes in environmental literacy outcomes. Correlation analyses revealed four variables related to enhanced student outcomes: affective messaging, environmental issue-focus, relevance, and effective time management. Two variables, fact-based teaching and data collection, were negatively correlated with student outcomes. Linear regression analysis with these six variables resulted in a model explaining 34% of the variance in the environmental literacy outcome. We discuss these findings and share examples of each practice from our qualitative observations. We also discuss broader applications of our mixed methods approach for the field. Supplemental data for this article is available online at https://doi.org/10.1080/13504622.2022.2044454 .

Fetal Brain Volume Predicts Neurodevelopment in Congenital Heart Disease.

Neurodevelopmental impairment is common in children with congenital heart disease (CHD), but postnatal variables explain only 30% of the variance in outcomes. To explore whether the antecedents for neurodevelopmental disabilities might begin in utero, we analyzed whether fetal brain volume predicted subsequent neurodevelopmental outcome in children with CHD. Fetuses with isolated CHD and sociodemographically comparable healthy control fetuses underwent fetal brain magnetic resonance imaging and 2-year neurodevelopmental evaluation with the Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III) and the Adaptive Behavior Assessment System, Third Edition (ABAS-3). Hierarchical regression evaluated potential predictors of Bayley-III and ABAS-3 outcomes in the CHD group, including fetal total brain volume adjusted for gestational age and sex, sociodemographic characteristics, birth measures, and medical history. The CHD group (n=52) had lower Bayley-III cognitive, language, and motor scores than the control group (n=26), but fetal brain volumes were similar. Within the CHD group, larger fetal total brain volume correlated with higher Bayley-III cognitive, language, and motor scores and ABAS-3 adaptive functioning scores (r=0.32-0.47; all P<0.05), but this was not noted in the control group. Fetal brain volume predicted 10% to 21% of the variance in neurodevelopmental outcome measures in univariate analyses. Multivariable models that also included social class and postnatal factors explained 18% to 45% of the variance in outcome, depending on developmental domain. Moreover, in final multivariable models, fetal brain volume was the most consistent predictor of neurodevelopmental outcome across domains. Small fetal brain volume is a strong independent predictor of 2-year neurodevelopmental outcomes and may be an important imaging biomarker of future neurodevelopmental risk in CHD. Future studies are needed to support this hypothesis. Our findings support inclusion of fetal brain volume in risk stratification models and as a possible outcome in fetal neuroprotective intervention studies.

Gender and Emotional Representation Matter: Own Illness Beliefs and Their Relationship to Obesity.

BackgroundCurrent treatments of obesity often fail to consider gender and psychological aspects, which are essential for weight loss and weight maintenance. The aim of our study was to analyze subjective illness representations (SIRs) of adults with obesity according to the Common-Sense Self-Regulation Model (CSM) by assessing their associations with weight-related variables and gender.MethodsData was collected via online self-assessment between April 2017 and March 2018. SIRs were operationalized by the revised Illness Perception Questionnaire (IPQ-R) and illness outcomes according to the CSM were defined as BMI, eating behaviour, physical wellbeing, bodyweight satisfaction, and shape concerns. The sample consisted of 427 adults (M = 42.2 years, SD = 10.9; 82% female) with obesity (BMI: M = 42.3 kg/m2, SD = 9.0). Student's t-tests and multiple hierarchical regression analyses were conducted with the control variables (age and BMI) and subjective illness representations and gender as independent variables.ResultsThe explanation of outcome variances was moderate to high (21-43%) except for restraint eating behaviour (10%). Subjective illness representations showed several significant associations with weight-related variables, especially timeline and emotional representations. Female gender was significantly associated with more restraint eating behaviour [F(1, 400) = 4.19, p < 0.001] and females had unfavourable values of the weight-related variables as well as a more cyclic [t(425) = 3.68, p < 0.001], and more emotional representation [t(100) = 5.17, p < 0.001] of their obesity.ConclusionThe results of this study indicate that gender and subjective illness representations, especially the emotional representation, play an important role for weight-related variables. Therefore, the assessment of SIRs may constitute an economic tool to identify specific individual deficits of self-regulation.

Data linkage for crash outcome assessment: Linking police-reported crashes, emergency response data, and trauma registry records

Introduction: Traffic crash reports lack detailed information about emergency medical service (EMS) responses, the injuries, and the associated treatments, limiting the ability of safety analysts to account for that information. Integrating data from other sources can enable a better understanding of characteristics of serious crashes and further explain variance in injury outcomes. In this research, an approach is proposed and implemented to link crash data to EMS run data, patient care reports, and trauma registry data. Method: A heuristic framework is developed to match EMS run reports to crashes through time, location, and other indicators present in both datasets. Types of matches between EMS and crashes were classified. To investigate the fidelity of the match approach, a manual review of a sample of data was conducted. A comparative bias analysis was implemented on several key variables. Results: 72.2% of EMS run reports matched to a crash record and 69.3% of trauma registry records matched with a crash record. Females, individuals between 11 and 20 years old, and individuals involved in single vehicle or head on crashes were more likely to be present in linked data sets. Using the linked data sets, relationships between EMS response time and reported injury in the crash report, and between police-reported injury and injury severity score were examined. Conclusion: Linking data from other sources can greatly enhance the information available to address road safety issues, data quality issues, and more. Linking data has the potential to result in biases that must be investigated as they relate to the use-case for the data. Practical implications: This research resulted in a transferable heuristic approach that can be used to link data sets that are commonly collected by agencies across the world. It also provides guidance on how to check the linked data for biases and errors.

Motivational outcomes of the science outreach lab S'Cool LAB at CERN: A multilevel analysis

AbstractPrevious studies highlight the positive effects of science outreach labs, in particular on students' motivational variables. However, out‐of‐school learning is generally associated with high novelty and specific setting characteristics that can impact learning and development. Indeed, previous studies call for further research on students' perception of the learning settings to ensure the best possible use of science outreach labs. This study aims to take this call up by analyzing motivational outcomes (situational interest and self‐concept) together with an unprecedented number of carefully chosen student and setting factors supposed to contribute to students' experience at science outreach labs. This study involved 509 high‐school students from 13 countries who took part in a half‐day hands‐on session at the particle physics outreach lab S'Cool LAB at CERN and a single group longitudinal pre‐ and post‐test research design. The results confirm that this intervention led to very high situational interest and self‐concept, even for a student sample that showed higher‐than‐average dispositional interest and self‐concept beforehand. Moreover, the initial motivational gender gap was closed after the intervention. To take the nested data into account, multilevel models were employed to study the predictive power of a set of student factors as well as students' perception of setting factors. Here, even after controlling for student factors such as their dispositional interest, support by the learning environment and educators was a crucial setting factor and was associated with especially high situational interest. Furthermore, students' cognitive preparedness and cognitive load were vital with respect to their situational self‐concept. Overall, regression models account for almost 60% of the variance of both motivational outcomes. We conclude that a systematic measurement of student and setting factors together with a multilevel approach provides highly valuable information about science outreach labs and how to optimize their effectiveness.

Heterologous Immunity Between SARS-CoV-2 and Pathogenic Bacteria.

Heterologous immunity, when the memory T cell response elicited by one pathogen recognizes another pathogen, has been offered as a contributing factor for the high variability in coronavirus disease 2019 (COVID-19) severity outcomes. Here we demonstrate that sensitization with bacterial peptides can induce heterologous immunity to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) derived peptides and that vaccination with the SARS-CoV-2 spike protein can induce heterologous immunity to bacterial peptides. Using in silico prediction methods, we identified 6 bacterial peptides with sequence homology to either the spike protein or non-structural protein 3 (NSP3) of SARS-CoV-2. Notwithstanding the effects of bystander activation, in vitro co-cultures showed that all individuals tested (n=18) developed heterologous immunity to SARS-CoV-2 peptides when sensitized with the identified bacterial peptides. T cell recall responses measured included cytokine production (IFN-γ, TNF, IL-2), activation (CD69) and proliferation (CellTrace). As an extension of the principle of heterologous immunity between bacterial pathogens and COVID-19, we tracked donor responses before and after SARS-CoV-2 vaccination and measured the cross-reactive T cell responses to bacterial peptides with similar sequence homology to the spike protein. We found that SARS-CoV-2 vaccination could induce heterologous immunity to bacterial peptides. These findings provide a mechanism for heterologous T cell immunity between common bacterial pathogens and SARS-CoV-2, which may explain the high variance in COVID-19 outcomes from asymptomatic to severe. We also demonstrate proof-of-concept that SARS-CoV-2 vaccination can induce heterologous immunity to pathogenic bacteria derived peptides.

Social Media Use and Its Associations With Mental Health 9 Months After the COVID-19 Outbreak: A Cross-National Study.

BackgroundThe covid-19 pandemic has impacted the health and well-being of millions across the globe. Strict social distancing policies and periodic lockdowns has led to an increased reliance on alternative online means of communication, including social media.Objectivesto examine (i) social media use and mental health in the general population 9 months after the COVID-19 pandemic outbreak and (ii) mental health in relation to motives for and extent of social media use, while adjusting for sociodemographic variables.MethodsA cross-national online survey was conducted in Norway, UK, USA and Australia. Participants (n = 3,474) reported extent of and motives for social media use and completed the 12-item General Health Questionnaire. The data were analyzed by chi-square tests, one-way analyses of variance, and multiple linear regression analysis.ResultsPoorer mental health was associated with using social media to decrease loneliness and for entertainment motives, while better mental health was associated with using social media for personal contact and maintaining relationships. Overall increased daily time on social media was associated with poorer mental health. The social media use variables were responsible for a substantial proportion of the outcome variance explained. These findings were consistent across the four countries, with only minor variations.ConclusionsMotives for using, and time spent using, social media were associated with the participants' mental health. Guidance and recommendations for social media usage to the general public for prevention and intervention for behavioral health may be beneficial.

Post-stroke outcomes predicted from multivariate lesion-behaviour and lesion network mapping.

Clinicians and scientists alike have long sought to predict the course and severity of chronic post-stroke cognitive and motor outcomes, as the ability to do so would inform treatment and rehabilitation strategies. However, it remains difficult to make accurate predictions about chronic post-stroke outcomes due, in large part, to high inter-individual variability in recovery and a reliance on clinical heuristics rather than empirical methods. The neuroanatomical location of a stroke is a key variable associated with long-term outcomes, and because lesion location can be derived from routinely collected clinical neuroimaging data there is an opportunity to use this information to make empirically based predictions about post-stroke deficits. For example, lesion location can be compared to statistically weighted multivariate lesion-behaviour maps of neuroanatomical regions that, when damaged, are associated with specific deficits based on aggregated outcome data from large cohorts. Here, our goal was to evaluate whether we can leverage lesion-behaviour maps based on data from two large cohorts of individuals with focal brain lesions to make predictions of 12-month cognitive and motor outcomes in an independent sample of stroke patients. Further, we evaluated whether we could augment these predictions by estimating the structural and functional networks disrupted in association with each lesion-behaviour map through the use of structural and functional lesion network mapping, which use normative structural and functional connectivity data from neurologically healthy individuals to elucidate lesion-associated networks. We derived these brain network maps using the anatomical regions with the strongest association with impairment for each cognitive and motor outcome based on lesion-behaviour map results. These peak regional findings became the 'seeds' to generate networks, an approach that offers potentially greater precision compared to previously used single-lesion approaches. Next, in an independent sample, we quantified the overlap of each lesion location with the lesion-behaviour maps and structural and functional lesion network mapping and evaluated how much variance each could explain in 12-month behavioural outcomes using a latent growth curve statistical model. We found that each lesion-deficit mapping modality was able to predict a statistically significant amount of variance in cognitive and motor outcomes. Both structural and functional lesion network maps were able to predict variance in 12-month outcomes beyond lesion-behaviour mapping. Functional lesion network mapping performed best for the prediction of language deficits, and structural lesion network mapping performed best for the prediction of motor deficits. Altogether, these results support the notion that lesion location and lesion network mapping can be combined to improve the prediction of post-stroke deficits at 12-months.

Cognitive and Affective Influences on Decision Quality

Introduction: Cognitive and affective factors influence decision outcomes, but few studies have examined both factors simultaneously. Study 1 used cluster analysis to test whether affective profiles related to decision domains could be identified as individual difference factors. Study 2 extended these findings to test whether such profiles can predict decision quality. Methods: We analyzed importance and meaningfulness ratings from 1123 adults regarding four low-frequency but high-salience decisions. Profile analyses revealed three meaningful profiles. A subset (n = 56) of adults completed quasi-experimental decision tasks in two of these domains. Results: Hierarchical regression examined the contributions of the affective cluster from Study 1 and executive functions to decision quality. We first regressed decision quality onto an index of executive function (F (1, 53) = 4.57, p = .037). At Step 2, affective cluster accounted for an additional 12.5% of the variance in decision quality, Fchange (2, 51) = 4.01, p = .024. The overall model retained its significance, F (3, 51) = 4.37, p = .008, R2 = .205. Conclusions: Together, Study 1 and 2 demonstrate that affective components related to the decision domain can be used as individual difference factors and that these account for unique variance in decision outcomes.

Word- and Text-Level Processes Contributing to Fluent Reading of Word Lists and Sentences.

In this study, we investigated how word- and text-level processes contribute to different types of reading fluency measures. We aimed to increase our understanding of the underlying processes necessary for fluent reading. The sample included 73 Dutch Grade 3 children, who were assessed on serial word reading rate (familiar words), word-list reading fluency (increasingly difficult words), and sentence reading fluency. Word-level processes were individual word recognition speed (discrete word reading) and sequential processing efficiency (serial digit naming). Text-level processes were receptive vocabulary and syntactic skills. The results showed that word- and text-level processes combined accounted for a comparable amount of variance in all fluency outcomes. Both word-level processes were moderate predictors of all fluency outcomes. However, vocabulary only moderately predicted sentence reading fluency, and syntactic skills merely contributed to sentence reading fluency indirectly through vocabulary. The findings indicate that sequential processing efficiency has a crucial role in reading fluency across various measures besides individual word recognition speed. Additionally, text-level processes come into play when complexity and context availability of fluency measures increases, but the exact timing requires further study. Findings are discussed in terms of future directions and their possible value for diagnostic assessment and intervention of reading difficulties.

The Gutenberg health study: a five-year prospective analysis of psychosocial working conditions using COPSOQ (Copenhagen psychosocial questionnaire) and ERI (effort-reward imbalance)

BackgroundPsychosocial working conditions were previously analyzed using the first recruitment wave of the Gutenberg Health Study (GHS) cohort (n = 5000). We aimed to confirm the initial analysis using the entire GHS population at baseline (N = 15,010) and at the five-year follow-up. We also aimed to determine the effects of psychosocial working conditions at baseline on self-rated outcomes measured at follow-up.MethodsAt baseline, working GHS participants were assessed with either the Effort-Reward-Imbalance questionnaire (ERI) (n = 4358) or with the Copenhagen Psychosocial Questionnaire (COPSOQ) (n = 4322); participants still working after five years received the same questionnaire again (ERI n = 3142; COPSOQ n = 3091). We analyzed the association between working conditions and the outcomes job satisfaction, general health, burnout, and satisfaction with life at baseline, at follow-up and also prospectively from baseline to follow-up using linear regression models. We examined the outcome variance explained by the models (R2) to estimate the predictive performance of the questionnaires.ResultsThe models’ R2 was comparable to the original baseline analyses at both t0 and t1 (R2 range: ERI 0.10–0.43; COPSOQ 0.10–0.56). However, selected scales of the regression models sometimes changed between assessment times. The prospective analysis showed weaker associations between baseline working conditions and outcomes after five years (R2 range: ERI 0.07–0.19; COPSOQ 0.07–0.24). This was particularly true for job satisfaction. After adjusting for the baseline levels of the outcomes, fewer scales still explained some of the variance in the distribution of the outcome variables at follow-up. The models using only data from t0 or t1 confirmed the previous baseline analysis. We observed a loss of explained variance in the prospective analysis models. This loss was greatest for job satisfaction, suggesting that this outcome is most influenced by short-term working conditions.ConclusionsBoth the COPSOQ and ERI instruments show good criterion validity and adequately predict contemporaneously measured self-reported measurements of health and (occupational) well-being. However, the COPSOQ provides a more detailed picture of working conditions and might be preferable for improvment strategies in workplaces. Additional prospective research with shorter follow-up times would be beneficial for estimating dose-response relationships.