Shared Variance Research Articles

Cognitive Correlates of Impaired Testamentary Capacity in Alzheimer's Dementia.

Testamentary capacity (TC) is a legal construct about the ability to make or change a will. Although studies of financial and medical capacities have noted a strong association between capacity and cognition, no study has examined the cognitive correlates of TC in Alzheimer's disease (ad). Study participants were 22 cognitively healthy controls and 20 persons with mild to moderate ad who were administered a neuropsychological battery and the Testamentary Capacity Instrument (TCI), a new performance-based measure of TC. Both TCI Element and TCI Total scores were calculated. TCI Total scores were calculated for the purposes of expanding correlational analyses (i.e., Pearson's product-moment) and are not intended for forensic TC evaluations. Final predictors were identified using linear and logistic regression modeling. All ad participants but one obtained TCI Totals that fell >2.5 standard deviations below the control group mean. Initial cognitive correlates of TCI performance were measures of general cognition, language, verbal memory, executive function, and processing speed. The four cognitive variables showing the highest t values and correlating with TCI Total score > 0.7 were entered into logistic and linear regression models. Final predictor models consisted of measures of verbal memory, executive function, and semantic knowledge and demonstrated shared variance of 0.71 (linear) and 0.82 (logistic). A diagnosis of ad dementia is associated with clinical impairment in TC and associated cognitive abilities and indicates that a legal assessment of TC is warranted. Second, the results offer insight into the cognitive basis of TC in persons with Alzheimer's dementia.

Examining what Mental Toughness, Ego Resiliency, Self-efficacy, and Grit measure: An exploratory structural equation modelling bifactor approach

AbstractDespite conceptual similarities among the established non-cognitive constructs of Mental Toughness, Ego Resiliency, Self-efficacy, and Grit, preceding research typically considered these as adversary rather than complementary and potentially additive. Subsequently, comparatively few studies have examined these together. This paper, via two independent studies, examined commonality within Mental Toughness, Ego Resiliency, Self-efficacy, and Grit. This identified key elements that contribute to a broad, non-cognitive, resource-based construct. Study 1 (N = 2137) assessed shared variance among the non-cognitive constructs relative to a general factor. Study 2 (N = 1148) evaluated the replicability of the results from Study 1 and examined measurement invariance. Respondents completed established self-report measures indexing the study variables. Exploratory structural equation modelling bifactor analyses consistently revealed that Mental Toughness, the Ego-Resiliency Optimal Regulation subscale, and Self-efficacy loaded highly on a general factor, which the authors labelled as Non-Cognitive Adaptive Resourcefulness (NCAR). Invariance analyses supported the stability of this model across study context. This paper advanced conceptual understanding of the core shared features of independent non-cognitive constructs. The authors discuss the potential of NCAR and advocate the need for further research.

Transdiagnostic Associations With Interpersonal and Affective Variability in Borderline Personality Pathology.

Emotional and behavioral variability are unifying characteristics of borderline personality disorder (BPD). Ambulatory assessment (AA) has been used to quantify this variability in terms of the categorical BPD diagnosis, but evidence suggests that BPD instead reflects general personality pathology. This study aimed to clarify the conceptualization of BPD by mapping indices of variability in affect, interpersonal behavior, and perceptions of others onto general and specific dimensions of personality pathology. A sample of participants who met diagnostic criteria for BPD (n = 129) and healthy controls (n = 47) reported on their daily interactions during a 21-day AA protocol. Multilevel SEM was used to examine associations between shared and specific variance in maladaptive traits with dynamic patterns of functioning. The authors found that variability is an indicator of shared trait variance and Negative Affectivity, not any other specific traits, reinforcing the idea that BPD is best understood as general personality pathology.

Trauma History as a Significant Predictor of Posttraumatic Growth Beyond Mental Health Symptoms in Women-Identifying Survivors of Undergraduate Non-Consensual Sexual Experiences.

There is little data on what influences posttraumatic growth for women who experienced non-consensual sexual contact (NCSC) as an undergraduate college student. The purpose of this study is to garner a better understanding of posttraumatic growth among women-identifying survivors of undergraduate NCSC by addressing the following aims: 1) evaluate the mediating role of NCSC-related shame on the relationship between perceived peer rape myth acceptance and posttraumatic growth (n = 174); and 2) evaluate the shared and independent variance contributions of mental health symptoms and trauma history clusters on posttraumatic growth (n = 151).NCSC-related shame did not mediate the relationship between perceived peer rape myth acceptance and posttraumatic growth. Mental health symptoms and trauma history significantly contributed to 35.27% of posttraumatic growth variance, with the trauma history cluster significantly influencing posttraumatic growth scores beyond mental health symptoms. Based on these findings, it is important that clinicians assess for a history of trauma and the impact of that trauma in addition to mental health symptoms when trying to understand posttraumatic growth after campus sexual violence.

The personality meta-trait of stability and carotid artery atherosclerosis.

Several personality traits increase the risk for atherosclerotic cardiovascular disease. Because many of these traits are correlated, their associations with disease risk could reflect shared variance, rather than unique contributions of each trait. We examined a higher-order personality trait of Stability as related to preclinical atherosclerosis and tested whether any such relationship might be explained by correlated variation in cardiometabolic risk factors. Among 798 community volunteers, lower-order traits of Neuroticism, Agreeableness, and Conscientiousness were modeled as latent variables (from self- and informant ratings) and used to estimate the second-order factor, Stability. Cardiometabolic risk was similarly modeled from indicators of glycemic control, blood pressure, adiposity, and lipids. Carotid artery atherosclerosis was measured as intima-media thickness (IMT) by duplex ultrasonography. A structural equation model incorporating direct and indirect effects showed lower Stability associated with greater IMT, and this relationship was accounted for by the indirect pathway via cardiometabolic risk. Secondary analyses showed that: (1) Neuroticism, Agreeableness, and Conscientiousness were unrelated to IMT independent of Stability; and (2) Stability predicted variation in IMT when estimated from informant-, but not self-rated, traits. Personality traits may associate with atherosclerotic burden through their shared, rather than unique, variance, as reflected in Stability.

Normalizing and denoising protein expression data from droplet-based single cell profiling

Multimodal single-cell profiling methods that measure protein expression with oligo-conjugated antibodies hold promise for comprehensive dissection of cellular heterogeneity, yet the resulting protein counts have substantial technical noise that can mask biological variations. Here we integrate experiments and computational analyses to reveal two major noise sources and develop a method called “dsb” (denoised and scaled by background) to normalize and denoise droplet-based protein expression data. We discover that protein-specific noise originates from unbound antibodies encapsulated during droplet generation; this noise can thus be accurately estimated and corrected by utilizing protein levels in empty droplets. We also find that isotype control antibodies and the background protein population average in each cell exhibit significant correlations across single cells, we thus use their shared variance to correct for cell-to-cell technical noise in each cell. We validate these findings by analyzing the performance of dsb in eight independent datasets spanning multiple technologies, including CITE-seq, ASAP-seq, and TEA-seq. Compared to existing normalization methods, our approach improves downstream analyses by better unmasking biologically meaningful cell populations. Our method is available as an open-source R package that interfaces easily with existing single cell software platforms such as Seurat, Bioconductor, and Scanpy and can be accessed at “dsb [https://cran.r-project.org/package=dsb]”.

General factors of white matter microstructure from DTI and NODDI in the developing brain

Preterm birth is closely associated with diffuse white matter dysmaturation inferred from diffusion MRI and neurocognitive impairment in childhood. Diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) are distinct dMRI modalities, yet metrics derived from these two methods share variance across tracts. This raises the hypothesis that dimensionality reduction approaches may provide efficient whole-brain estimates of white matter microstructure that capture (dys)maturational processes. To investigate the optimal model for accurate classification of generalised white matter dysmaturation in preterm infants we assessed variation in DTI and NODDI metrics across 16 major white matter tracts using principal component analysis and structural equation modelling, in 79 term and 141 preterm infants at term equivalent age. We used logistic regression models to evaluate performances of single-metric and multimodality general factor frameworks for efficient classification of preterm infants based on variation in white matter microstructure. Single-metric general factors from DTI and NODDI capture substantial shared variance (41.8-72.5%) across 16 white matter tracts, and two multimodality factors captured 93.9% of variance shared between DTI and NODDI metrics themselves. General factors associate with preterm birth and a single model that includes all seven DTI and NODDI metrics provides the most accurate prediction of microstructural variations associated with preterm birth. This suggests that despite global covariance of dMRI metrics in neonates, each metric represents information about specific (and additive) aspects of the underlying microstructure that differ in preterm compared to term subjects.

Validity and reliability of the Persian version of the Patient readiness to engage in health information technology (PRE-HIT) instrument

BackgroundThe Patient readiness to engage in health information technology (PRE-HIT) is a conceptually and psychometrically validated questionnaire survey tool to measure willingness of patients with chronic conditions to use health information technology (HIT) resources.ObjectivesThis study aimed to translate and validate a health information technology readiness instrument, the PRE-HIT instrument, into the Persian language.MethodsA rigorous process was followed to translate the PRE-HIT instrument into the Persian language. The face and content validity was validated by impact score, content validity index (CVI) and content validity ratio (CVR). The instrument was used to measure readiness of 289 patients with chronic diseases to engage with digital health with a four point Likert scale. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) was used to check the validity of structure. The convergent and discriminant validity, and internal reliability was expressed by average variance extracted (AVE), construct reliability (CR), maximum shared squared variance (MSV), average shared square variance (ASV), and Cronbach's alpha coefficient. Independent samples, t-test and one-way ANOVA were used respectively to compare the impact of sex, education and computer literacy on the performance of all PRE-HIT factors.ResultsEight factors were extracted: health information needs, computer anxiety, computer/internet experience and expertise, preferred mode of interaction, no news is good news, relationship with doctor, cell phone expertise, and internet privacy concerns. They explained 69% of the total variance and the KMO value was 0.79; Bartlett's test of sphericity was also statistically significant (sig < 0.001). The communality of items was higher than 0.5. An acceptable model fit of the instrument was achieved (CFI = 0.943, TLI = 0.931, IFI = 0.944, GFI = 0.893, RMSEA ≤ 0.06, χ2/df = 1.625, df = 292, P-value ≤ 0.001). The Cronbach's alpha coefficient achieved a satisfactory level of 0.729. The AVE for all factors was higher than 0.50 except for PMI (0.427) and CIEE (0.463) and also the CR for all factors was higher than 0.7, therefore, the convergent validity of the instrument is adequate. The MSV and ASV values for each factor were lower than AVE values; therefore, the divergent validity was acceptable.ConclusionThe Persian version of the PRE-HIT was empirically proved for its validity to assess the level of readiness of patients to engage with digital health.

Social skills, negative symptoms and real-world functioning in individuals at ultra-high risk of psychosis.

Impairment in real-world social functioning is observed in individuals at Ultra-High Risk (UHR) of psychosis. Both social skills and negative symptoms appear to influence real-world functioning. This study aims to examine the psychometric properties of a social skills measure, the High-Risk Social Challenge task (HiSoC), and evaluate the relationship between social skills, negative symptoms, and real-world functioning in UHR individuals. HiSoC data was analysed in 87 UHR individuals and 358 healthy controls. Exploratory factor analysis (EFA) was used to evaluate the factor structure of the HiSoC task. Convergent and divergent validity were assessed. Negative symptoms were assessed on the Positive and Negative Syndrome Scale (PANSS) and real-world functioning was indexed by the Global Assessment of Functioning (GAF). Commonality analysis was used to partition unique and shared variance of HiSoC and negative symptoms with real-world functioning. EFA yielded a three-factor structure of HiSoC consisting of Affect, Odd behaviour and language, and Social-interpersonal. The HiSoC task discriminated UHR and healthy controls (p<0.001, Cohen's d=0.437-0.598). Commonality analysis revealed that the unique variance of the social amotivation subdomain of negative symptoms was the strongest predictor of GAF (p<.001, R2 =.480). Shared variance of 3.7% between HiSoC Social-interpersonal and social amotivation was observed in relation to functioning. The HiSoC is a psychometrically valid task that is sensitive to identify social skill deficits in UHR. While social skills are related to functioning, experiential negative symptoms appear to be an important target for improving real-world functional outcomes.

Cross disorder comparisons of brain structure in schizophrenia, bipolar disorder, major depressive disorder, and 22q11.2 deletion syndrome: A review of ENIGMA findings.

This review compares the main brain abnormalities in schizophrenia (SZ), bipolar disorder (BD), major depressive disorder (MDD), and 22q11.2 Deletion Syndrome (22q11DS) determined by ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) consortium investigations. We obtained ranked effect sizes for subcortical volumes, regional cortical thickness, cortical surface area, and diffusion tensor imaging abnormalities, comparing each of these disorders relative to healthy controls. In addition, the studies report on significant associations between brain imaging metrics and disorder-related factors such as symptom severity and treatments. Visual comparison of effect size profiles shows that effect sizes are generally in the same direction and scale in severity with the disorders (in the order SZ > BD > MDD). The effect sizes for 22q11DS, a rare genetic syndrome that increases the risk for psychiatric disorders, appear to be much larger than for either of the complex psychiatric disorders. This is consistent with the idea of generally larger effects on the brain of rare compared to common genetic variants. Cortical thickness and surface area effect sizes for 22q11DS with psychosis compared to 22q11DS without psychosis are more similar to those of SZ and BD than those of MDD; a pattern not observed for subcortical brain structures and fractional anisotropy effect sizes. The observed similarities in effect size profiles for cortical measures across the psychiatric disorders mimic those observed for shared genetic variance between these disorders reported based on family and genetic studies and are consistent with shared genetic risk for SZ and BD and structural brain phenotypes.

Sensorimotor ability and inhibitory control independently predict attainment in mathematics in children and adolescents.

We previously linked interceptive timing performance to mathematics attainment in 5- to 11-yr-old children, which we attributed to the neural overlap between spatiotemporal and numerical operations. This explanation implies that the relationship should persist through the teenage years. Here, we replicated this finding in adolescents (n = 200, 11-15 yr). However, an alternative explanation is that sensorimotor proficiency and academic attainment are both consequences of executive function. To assess this competing hypothesis, we developed a measure of a core executive function, inhibitory control, from the kinematic data. We combined our new adolescent data with the original children's data (total n = 568), performing a novel analysis controlling for our marker of executive function. We found that the relationship between mathematics and interceptive timing persisted at all ages. These results suggest a distinct functional link between interceptive timing and mathematics that operates independently of our measure of executive function.NEW & NOTEWORTHY Previous research downplays the role of sensorimotor skills in the development of higher-order cognitive domains such as mathematics: using inadequate sensorimotor measures, differences in "executive function" account for any shared variance. Utilizing a high-resolution, kinematic measure of a sensorimotor skill previously linked to mathematics attainment, we show that inhibitory control alone cannot account for this relationship. The practical implication is that the development of children's sensorimotor skills must be considered in their intellectual development.

Parental affective personality and children's self‐reported internalising and externalising behaviour

AbstractPast research has demonstrated associations between parental personality traits and children's behaviour. However, fathers have been largely excluded from this research, and mothers often rate both their own personality and their child's behaviour, contributing to shared method variance. This study contributes to the literature by examining associations between parental biologically based affective personality traits, analysed separately for mothers and fathers, and seven‐ and eight‐year‐old children's self‐reported internalising and externalising behaviours. Data were analysed for 272 mother‐child dyads and 208 father‐child dyads. A series of multiple linear regressions was utilised to test associations between mothers’ and fathers’ traits of ANGER, SADNESS, FEAR, PLAY, SEEKING and CARE, assessed using the Affective Neuroscience Personality Scales (ANPS), and children's self‐reported internalising and externalising behaviours, assessed using the Berkeley Puppet Interview. Results revealed that higher ANPS ANGER scores amongst mothers were associated with more externalising behaviours in boys. Mothers with higher scores on SEEKING had sons with lower scores on externalising behaviours, while mothers with higher PLAY scores had sons with lower scores on internalising behaviours. Fathers with higher ANPS SADNESS scores had children with greater internalising behaviours, while fathers with greater FEAR traits had children with lower internalising behaviours. Indirect associations through harsh or positive parenting were not significant. Findings demonstrated that ANPS traits of ANGER, PLAY and SEEKING for mothers and FEAR and SADNESS for fathers are associated with children's self‐reported externalising and internalising behaviours. This study adds to the literature on biologically based parental affective personality and children's internalising and externalising behaviours.

Can Primary School Mathematics Performance Be Predicted by Longitudinal Changes in Physical Fitness and Activity Indicators?

ObjectiveTo determine to what extent physical fitness indicators and/or moderate to vigorous physical activity (MVPA) may account for final mathematics academic performance (APmath) awarded at the end of primary school.MethodsSchool-aged youth were sampled in a repeated-measures, longitudinal design in Grade 6 (∼11 years), and again in Grade 9 (∼14 years). The youth (N = 231, 111 girls) completed a fitness test battery consisting of: flamingo balance test, standing long jump, backward obstacle course, plate tapping, sit ups, sit and reach, handgrip, and 20-m shuttle run. APmath scores were obtained for all children at the end of Grade 5, end of Grade 8, and end of Grade 9 (their final year of primary school). In a sub-sample of Grade 6 youth (N = 50, 29 girls), MVPA was measured objectively via SenseWear Pro Armbands (MVPAOB) for seven consecutive days, with measurements repeated in Grade 9.ResultsMath scores decreased from Grade 6 to 9 for both boys and girls (95%CI: −0.89 to −0.53, p < 0.001). MVPAOB was reduced by ∼45.7 min (−33%) from Grade 6 to 9 (p < 0.01). Significant main and interaction effects are noted for each fitness indicator (p < 0.05). A backward stepwise multiple regression analysis determined significant shared variance in final APmath grade to the change scores from Grade 6 to Grade 9 in: ΔAPmath, Δbackward obstacle course, Δsit and reach, and Δsit-ups [R2 = 0.494, F(4,180) = 43.67, p < 0.0001]. A second regression was performed only for the youth who completed MVPAOB measurements. In this sub-sample, MVPAOB did not significantly contribute to the model.ConclusionLongitudinal changes in youth fitness and their delta change in APmath score accounted for 49.4% of the variance in the final math grade awarded at the end of Grade 9. Aerobic power, upper body strength, and muscular endurance share more common variance to final math grade in boys, whereas whole-body coordination was the more relevant index in girls; this finding suggests that future research exploring the relationship of AP and PF should not be limited to cardiorespiratory fitness, instead encompassing muscular and neuro-muscular components of PF.

Financial inclusion through Kiosk-based banking services: a study with reference to business correspondent models in the state of Kerala

PurposeThe paper aims to study the outreach and performance of business correspondent (BC) models, which are implemented as a subsidiary agent of banks to accelerate the financial inclusion (FI) mission in India. In this regard, the study illustrates BC's products and services rendered to customers, forms of delivery channels and BC's view on banking services and Kiosk-based BC programs.Design/methodology/approachThe current paper is an empirical study based on surveying 200 Kiosk-based BCs working in the state of Kerala. After the preliminary screening analysis of the data with outlier deletion, removal of missing values and normality test, both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were executed followed by reliability test, convergent and discriminant validity tests. Covariance-based structural equation modeling (CBSEM) was performed for CFA and inferential tests were carried out by using statistical package for the social sciences (SPSS) and analysis of a moment structures (AMOS) and Eviews.FindingsChiefly, eight operational forms of BCs were found from the field survey. Hypothetical tests show the significant impact of the serviceability of banks on BC's profitability. Validity tests such as average variance extracted (AVE), composite reliability (CR), maximum shared variance (MSV) and average shared variance (ASV) were established after the removal of the cross-loaded items of the questionnaire from the rotated component matrix. BCs perform main banking services especially bank account opening facility and Akshaya E-Centers are widely used for this model as Kiosk banking in the surveyed state.Originality/valueSo far, no study has encompassed empirical research on performance analysis and outreach of the BC model in the state of Kerala where this BC model well functions. Since the study is a novel form of banking channelization for FI, the study can contribute to understanding the further feasibility and future dimension of the model based on experimental views of BCs.

The Big Five Facets and the MBTI: The Relationship between the 30 NEO-PI(R) Facets and the Four Myers-Briggs Type Indicator (MBTI) Scores

This study looked at the relationship between two very well-established personality tests at the facet level. Over 9000 adults completed the MBTI and the NEO-PI-R, which measures six facets each of the Big Five personality traits. Correlational analysis suggested very little relationship between test scores, despite issues of shared method variance. At the domain level, results suggested the highest correlations for Neuroticism was TF, for Extraversion EI, for Openness JP and for both Agreeableness and Conscientiousness TF. There were many inconsistencies in the pattern of correlations at the facet level. The study also did not confirm the relationship between the SN scale and Openness which has been found before. Regressions of the Big Five onto the four MBTI scores suggested that all five traits were related to the TF and JP types. Results are discussed in terms of previous studies in this area. Limitations are acknowledged.

Environmental and Management Factors That Influence &amp;lt;i&amp;gt;Commelina&amp;lt;/i&amp;gt; Species in Selected Agro-Ecological Zones in Western Kenya

Commelina species are plant resources full of promise as future food and feed that thrive in diverse ecosystems. They are medicinal plants, leafy vegetables, forage for ruminants, feed for cricket insects, crop protection, and fuel. However, information regarding factors driving Commelina in agro-ecological zones in Western Kenya is lacking. Therefore, we investigated the diversity of Commelina species, the composition of associated weed species as well as environmental and management factors affecting their diversity and distribution based on 22 variables from 12 production sites. In the survey, 115 species belonging to 30 families were recorded of which 11 Commelina species were identified. Among Commelina species, Commelina diffusa and Commelina benghalensis var. benghalensis (non-hybrid variant) had higher relative density. Multiple linear regressions revealed that the environment (exchangeable sodium percentage, magnesium, soil pH, and total nitrogen) and management (agriculture system type) variables exert a stronger effect on the diversity of Commelina species. Detrended Correspondence Analysis detected different ecological conditions for Commelina species and the composition of associated weed species. The forward selection based on Canonical Correspondence Analysis indicated that the distribution of Commelina species responded significantly to soil pH, available phosphorous, total nitrogen, fertility, and crop spacing. Partitioning variation showed the great importance to the environment than management (10.57% versus 5.97%). The low shared variance (environment × management) was -0.4%, indicating that the two factors have a more individualistic than interactive nature. However, the 83.86% that remained unexplained was attributed to stochastic variation or unmeasured variables. This study suggests that the identified five important variables affecting the distribution of Commelina species will certainly contribute to the prioritization of ecological aspects leading to the growth condition of Commelina species.

Analysis of learning outcomes of Civil Engineering students of Kerala state using dimension reduction Techniques

During the 90s engineering education system is transformed from output model to outcome based education system all over the world. To monitor the new education system as well as to assess the quality of engineering education various accreditation agencies like ABET, CEAB, NBA, EA, etc. were constituted at different parts of the world. Students who were graduated from accredited programs were considered competent graduates. The accreditation agencies measure the learning outcomes of engineering graduates in terms of knowledge, skill, and attitude. The knowledge domain is easy to measure and evaluated by the student's performance in exams, assignments, quizzes, etc. The psychomotor domain evaluates the body brain coordination of the student and the affective domain evaluates the attitude of students towards learning. In this paper, a survey instrument for the perception of psychomotor skills and affective skills by engineering students was presented. The validity and reliability of the survey instrument were confirmed by the exploratory and confirmatory factor analysis using SPSS software. The factor loading, average variance extracted and maximum shared variance values ensured the validity of the instrument. The reliability of the instrument was established from Cronbach’s alpha value and composite reliability values. Once the questionnaire was validated the study was extended to a larger population of students and responses were presented in the paper. Keywords—affective skill; competency; factor analysis; psychomotor skill.

Context-specific activations are a hallmark of the neural basis of individual differences in general executive function

Common executive functioning (cEF) is a domain-general factor that captures shared variance in performance across diverse executive function tasks. To investigate the neural mechanisms of individual differences in cEF (e.g., goal maintenance, biasing), we conducted the largest fMRI study of multiple executive tasks to date (N=546). Group average activation during response inhibition (antisaccade task), working memory updating (keep track task), and mental set shifting (number-letter switch task) overlapped in classic cognitive control regions. However, there were no areas across tasks that were consistently correlated with individual differences in cEF ability. Although similar brain areas are recruited when completing different executive function tasks, activation levels of those areas are not consistently associated with better performance. This pattern is inconsistent with a simple model in which higher cEF is associated with greater or less activation of a set of control regions across different task contexts; however, it is potentially consistent with a model in which individual differences in cEF primarily depend on activation of domain-specific targets of executive function. Brain features that explain commonalities in executive function performance across tasks remain to be discovered.

The Heritability of Cognitive Aging: A Systematic Review of Longitudinal Twin Studies

Heritability of cognitive ability changes across late adulthood, although whether genetic variance increases or decreases in importance is not understood well. We performed a systematic review of the heritability of cognitive ability derived from longitudinal twin studies of middle-aged and older adult twins. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, articles were identified in APA PsycINFO and Clarivate Web of Science electronic databases. Identified articles were screened by title and abstract; remaining full-text articles were then fully evaluated. Reference sections served as an additional method for identification of relevant articles. In total, 3,106 articles were identified and screened, 28 of which were included and were based on data from 10 longitudinal twin studies published from 1994-2021. There are large genetic influences on an initial level of cognitive performance across domains whereas there are small to moderate genetic influences on change in performance with age. Evidence was less definitive about whether the same or different genetic factors contribute to both level and change. Non-shared environmental influences appeared to drive individual changes in cognitive performance. Heritability tended to either be stable or decline after 65 years, possibly because of the increasing importance of non-shared environmental influences on cognitive ability. Recent studies report increases in heritability across specific subtests and domains. Shared environmental variance accounted for little variance in cognitive ability. Emerging research questions and future directions for understanding genetic and environment influences in the context of gene-environment interplay are highlighted in this review.

Bullying involvement and suicidal ideation in elementary school children across Europe

BackgroundBullying involvement is associated with suicidal ideation among adolescents, yet there are no studies examining this issue among younger children. MethodsThe School Children Mental Health in Europe study was conducted in seven countries in 2010 using similar methods to collect cross-sectional data from children, parents, and teachers. Suicidal ideation and thoughts of death were assessed using the Dominic Interactive among children. Parent and teacher reports were used to determine bullying involvement. The sample comprised n = 5,183 children ages 6 to 11 identified as bullies (n = 740, 14.3%), victims (n = 945, 18.2%), bully-victims (n = 984, 18.2%) and not involved in bullying (n = 2,514, 48.5%). Multivariate logistic regressions were used to assess the association of bullying involvement with suicidal ideation and thoughts of death. ResultsSuicidal ideation was reported by 13.3% of those not involved in bullying, 17.1% of victims, 19.6% of bullies and 24.4% of bully-victims. Similarly, thoughts of death were reported by 19.0% of victims, 24.3% of bullies, and 25.0% of bully-victims. Children identified as being involved were more likely than those not involved to report suicidal ideation in bivariate analyses. When controlling for psychopathology and for maternal distress among other factors, the association remained significant for bullies (AOR=1.30, 95%CI=1.01–1.66), bully-victims (AOR=1.54, 95%CI=1.22–1.94), but not for victims (AOR=1.02, 95%CI=0.80–1.30). LimitationsThe study is cross-sectional. The assessment of bullying may have underestimated victimization. ConclusionsThe association of bullying involvement and child suicidal ideation is present among elementary school children across Europe, using multiple informants to avoid shared variance biases, and adjusting for key factors.