The effect of self-efficacy and self-set grade goals on academic outcomes.

Introduction: Numerous motivational research have clearly demonstrated the critical role of self-processes in goal setting, self-regulated learning, and learning outcomes. However, studies have emerged that present conflicting findings regarding the relationship between goal setting and self-efficacy and how it affects academic performance. Based on the theories of goal setting and self-efficacy, the purpose of this paper is to assess the predictive power of self-efficacy and the mediating effect of self-set grade goals on learning outcomes. Methods: As part of the online course, an exploratory study was conducted with a sample of 160 university teacher training students. Data on self-efficacy were collected with the MSLQ and analyzed with confirmatory factor analysis. Correlation analysis explored the relationships between motivational factors, grade goals, and learning outcomes. To test the models, structural equation analysis was conducted to predict the effect of self-efficacy on self-set grade goals and learning outcomes. Results: The results showed the predictive effect of self-efficacy on expected and minimum grade goals and the mediating effect of expected grade goal on learning outcomes. Discussion: The study highlights the influence of motivational factors on goal setting in the context of online learning and provides insight into the predictive effect of self-efficacy on learning outcomes.

Exploring the relationship between super-leadership, self-leadership, and exercise commitment in university Taekwondo teams.

Introduction: Promoting super-leadership is crucial for the sustainable growth of college sport teams, especially as teams are experiencing a noticeable shift towards a more horizontal dynamic, where athletes themselves are emerging as leaders. However, there is a lack of research on the effectiveness of super-leadership and its possible outcomes in the context of collegiate Taekwondo teams. Methods: This study aims to investigate the impact of super-leadership on athletes' self-leadership and exercise commitment and examine the mediating role of self-leadership in this relationship among collegiate Taekwondo athletes in South Korea. A total of 147 survey data were analyzed by structural equation modeling. Results: The findings revealed that super-leadership was found to have a positive impact on both athletes' self-leadership (ß = 0.71, p < 0.001) and exercise commitment (ß = 0.30, p < 0.05). Additionally, the study reveals athletes' self-leadership significantly impacts exercise commitment (ß = 0.34, p < 0.05). Our findings also demonstrate that self-leadership was identified as a partial mediator in the relationship between super-leadership and exercise commitment (∆χ2 = 4.46, p > 0.05). Discussion: Theoretical and practical implications were discussed based on the current study's findings.

What shapes food waste behaviors? New insights from a comprehensive action determination model.

The sharp increase in food waste poses a serious threat to food security and environmental sustainability. However, most existing studies have investigated the determinants of food waste behaviors in a separate behavioral process without considering the potential impacts of different factors in an integrated process. To narrow this gap, a comprehensive action determination model (CADM), which integrates network embeddedness and incentive measures, was constructed to explore the impact of various determinants in different processes on food waste behaviors, using data collected from 913 residents in eastern China via an online survey. The empirical results showed that environmental concern was the largest positive factor in predicting personal norms (ß = 0.80, p < 0.001), followed by network embeddedness. With the habitual process considered, residents with ingrained waste habits were more likely to waste food (ß = 0.38, p < 0.001). Moreover, the normative process alleviates behavioral decisions via intentions to reduce food waste. This study confirmed the differences in the situational process and suggested that menu tips increase food waste behaviors, while incentive measures reinforce the influence of intentions on behavior. We therefore address the insufficient ingredients on the effects of different processes on behavior and provide a new perspective for formulating behavioral intervention policies.

Exploring the Interplay of Social Support, Depression, and Quality of Life of Community Older Adults Through Structural Equation Modeling.

Social support (SS) has been widely recognized to have a protective effect influencing older adults' emotional and psychological well-being. This study attempted to determine the relationships of structural SS and functional SS on depression and quality of life among the community-dwelling older adults in the rural and Asian context. A cross-sectional study was conducted among 2324 community older adults aged 60 years and above in Kuala Pilah, Malaysia. Participants were recruited via multistage sampling and interviewed face-to-face. The relationships were analyzed using structural equation modeling. Structural SS was associated with functional SS (ß = 0.05). Only functional SS (having a role, knowing what is going on, and having a confidant) was found to be significantly associated with depression (ß = -0.07) and quality of life (physical component [ß = 0.08], mental component [ß = 0.31]). In summary, functional SS and familial SS should be addressed to reduce depression and improve quality of life among older adults. Community initiatives to increase awareness in optimizing social support should be conducted for quality of life among community older adults.

Cross-sectional study of pharmacovigilance knowledge, attitudes, and practices based on structural equation modeling and network analysis: a case study of healthcare personnel and the public in Yunnan Province.

Background: This study focuses on understanding pharmacovigilance knowledge, attitudes, and practices (KAP) in Yunnan Province, employing Structural Equation Modeling (SEM) and network analysis. It aims to evaluate the interplay of these factors among healthcare personnel and the public, assessing the impact of demographic characteristics to inform policy and educational initiatives. Methods: A cross-sectional survey was conducted in Yunnan, targeting healthcare personnel and the public. Data collection was through questionnaires, with subsequent analysis involving correlation matrices, network visualization, and SEM. The data analysis utilized SPSS 27.0, AMOS 26.0, and Gephi software for network analysis. Results: This study evaluated pharmacovigilance KAP among 209 public participants and 823 healthcare personnel, uncovering significant differences. Public respondents scored averages of 4.62 ± 2.70 in knowledge, 31.99 ± 4.72 in attitudes, and 12.07 ± 4.96 in practices, while healthcare personnel scored 4.38 ± 3.06, 27.95 ± 3.34, and 7.75 ± 2.77, respectively. Statistically significant correlations across KAP elements were observed in both groups, highlighting the interconnectedness of these factors. Demographic influences were more pronounced among healthcare personnel, emphasizing the role of professional background in pharmacovigilance competency. Network analysis identified knowledge as a key influencer within the pharmacovigilance KAP network, suggesting targeted education as a vital strategy for enhancing pharmacovigilance engagement. Conclusion: The research reveals a less-than-ideal state of pharmacovigilance KAP among both healthcare personnel and the public in Yunnan, with significant differences between the two groups. SEM and network analysis confirmed a strong positive link among KAP components, moderated by demographics like age, occupation, and education level. These insights emphasize the need to enhance pharmacovigilance education and awareness, thereby promoting safer drug use.

Forensic Professionals' Stress Inventory (FPSI): Development and psychometric properties.

Professionals in the justice system are particularly susceptible to occupational stress and burnout due to factors intrinsic to their profession. The Forensic Professional's Stress Inventory (FPSI) was designed to assess stress and psychological distress specifically in justice system professionals. A preliminary 41-item scale was administered to a sample of 690 forensic professionals (i.e., judges, lawyers, and attorneys). Exploratory factor analysis, exploratory structural equation modeling, and confirmatory factor analysis were conducted to find the most interpretable and parsimonious factor solution for FPSI. The 25-item bifactor model (with four first-order factors) demonstrated the most adequate fit to the data. Overall, FPSI revealed adequate psychometric properties and would be a useful instrument for assessing psychological strain and stress in forensic professionals.

Examining the performance of the chi-square difference test when the unrestricted model is slightly misspecified.

Structural equation models are used to model the relationships between latent constructs and observable behaviors such as survey responses. Researchers are often interested in testing nested models to determine whether additional constraints that create a more parsimonious model are also supported by the data. A popular statistical tool for nested model comparison is the chi-square difference test. However, there is some evidence that this test performs suboptimally when the unrestricted model is misspecified. In this paper, we examine the type I error rate of the difference test within the context of single-group confirmatory factor analyses when the less restricted model is misspecified but the constraints imposed by the restricted model are correct. Using empirical simulations and analytic approximations, we find that the chi-square difference test is robust to many but not all forms of realistically sized misspecification in the unrestricted model.

Cognitive flexibility's role in shaping self-perception of aging, body appreciation, and self-efficacy among community-dwelling older women.

BACKGROUND: Cognitive flexibility, the capacity to adjust to new information, affects how aging is perceived. In Egyptian culture, older women's views on aging are shaped by societal gender roles and expectations. These views influence their body image and belief in their abilities, all melded by cultural standards and values. AIM: Investigate the mediating role of cognitive flexibility in the relationship between self-aging perception, body appreciation, and self-efficacy among community-dwelling older women. METHODS: A correlational analytical design was used on 200 women aged 60 years or older using the Cognitive Flexibility Inventory, Self-Perceptions of Aging, General Self-Efficacy Scale, and Body Appreciation Scales. Structural equation modeling was used in the analysis. RESULTS: The study found that cognitive flexibility is positively related to self-perception of aging and body appreciation and is also significantly related to general self-efficacy. However, no significant relationship was found between body appreciation and general self-efficacy. Additionally, the study found that cognitive flexibility partially mediates the relationship between self-perception of aging and body appreciation and fully mediates the relationship between body appreciation and self-efficacy. CONCLUSION: Cognitive flexibility is vital in the relationships between self-perceptions of aging, body appreciation, and self-efficacy among older women. Therefore, nursing interventions targeting cognitive flexibility are recommended to promote positive self-aging perceptions, body appreciation, and self-efficacy in this population.

Daily associations between global self-esteem and self-concept clarity and their relationships with subjective well-being in a sample of adult workers.

OBJECTIVES: The present pre-registered study examined the reciprocal day-to-day associations between global self-esteem and self-concept clarity and their incremental validity with respect to daily life satisfaction, positive affect, and negative affect. METHODS: We used intensive longitudinal data from 153 adult workers (45.1% women), over a period of 31 days. Data were analyzed using dynamic structural equation modeling. RESULTS: Results attested higher global self-esteem and self-concept clarity mean levels for older vs. younger participants, and lower global self-esteem and self-concept clarity variability for older vs. younger participants. Furthermore, global self-esteem and self-concept clarity were correlated at a cross-sectional daily level, yet only self-concept clarity states positively predicted subsequent global self-esteem states, while global self-esteem states did not predict subsequent self-concept clarity states. Daily global self-esteem and daily self-concept clarity further predicted subsequent daily higher life satisfaction and positive affect, respectively. CONCLUSION: Overall, our findings shed light on the short-term relationships linking global self-esteem and self-concept clarity, pointing to their discriminant validity in predicting individuals' subjective well-being.

Efficacy of chronic neck pain self-treatment using press needles: a randomized controlled clinical trial.

Background: Chronic neck pain is common among Japanese individuals, but few receive treatment. This randomized controlled trial aimed to evaluate the efficacy of acupuncture using press needles in the self-treatment of chronic neck pain and preliminarily identify the characteristics of patients likely to benefit from this treatment. Methods: Fifty participants with chronic neck pain were allocated to receive either press needle or placebo treatment for 3 weeks. The visual analogue scale (VAS) and motion-related VAS (M-VAS) scores for neck pain, Neck Disability Index score, and pressure pain threshold were measured at baseline, after the first session, at the end of the last session, and 1 week after the last session. Changes in the outcomes were analyzed using analysis of variance, and the relationships between the variables were evaluated using structural equation modeling. Results: Intervention results as assessed by VAS score revealed no significant differences in the ANOVA. A between-groups comparison of M-VAS scores at the end of the last session and baseline showed a significant difference (press needle: -21.64 ± 4.47, placebo: -8.09 ± 3.81, p = 0.025, d = -0.65). Structural equation modeling revealed a significant pain-reducing effect of press needle treatment (ß = -0.228, p = 0.049). Severity directly affected efficacy (ß = -0.881, p < 0.001). Pain duration, baseline VAS and Neck Disability Index scores were variables explaining severity, while age and occupational computer use were factors affecting severity. Conclusion: Self-treatment with press needles for chronic neck pain did not significantly reduce the VAS score compared to placebo but reduced the motion-related pain as assessed by M-VAS score. A direct association was observed between pain severity and the effectiveness of press needles, and the impact of age and computer were indirectly linked by pain severity. Clinical Trial Registration: Identifier UMIN-CTR, UMIN000044078.

Understanding Composite-Based Structural Equation Modeling Methods From the Perspective of Regression Component Analysis.

Regression component analysis (RCA) replaces the factors in a factor analysis model with weighted composites of the model's observed variables. The weight matrix may be calculated from the factor model's parameter estimates. Thus, RCA parameter estimates can be obtained using factor model software, but RCA composites have determinate scores, rather than the indeterminate scores of factors. Analytically, RCA equates to modeling with "regression method" factor scores, except that, while those scores will be inconsistent with the original factor model, they are strictly consistent with the RCA model. When the original factor model is strictly correct in the population and the composites in RCA are standardized, RCA parameter estimates replicate those from regression-weighted forms of partial least squares (PLS) path modeling and generalized structured component analysis (GSCA)-affirming that those methods also equate to modeling with regression method factor scores under the same conditions. Parallel measurement allows RCA to replicate both correlation weight and regression weight versions of PLS and GSCA. These results suggest that RCA and regression-weighted forms of PLS and GSCA are all consistent approaches for modeling data that conforms to a factor model. All analytical methods are described using one consistent symbol palette. Complete R syntax is provided.

Moderating Effect of Coping Strategies on the Association Between the Infodemic-Driven Overuse of Health Care Services and Cyberchondria and Anxiety: Partial Least Squares Structural Equation Modeling Study.

BACKGROUND: The COVID-19 pandemic has led to a substantial increase in health information, which has, in turn, caused a significant rise in cyberchondria and anxiety among individuals who search for web-based medical information. To cope with this information overload and safeguard their mental well-being, individuals may adopt various strategies. However, the effectiveness of these strategies in mitigating the negative effects of information overload and promoting overall well-being remains uncertain. OBJECTIVE: This study aimed to investigate the moderating effect of coping strategies on the relationship between the infodemic-driven misuse of health care and depression and cyberchondria. The findings could add a new dimension to our understanding of the psychological impacts of the infodemic, especially in the context of a global health crisis, and the moderating effect of different coping strategies on the relationship between the overuse of health care and cyberchondria and anxiety. METHODS: The data used in this study were obtained from a cross-sectional web-based survey. A professional survey company was contracted to collect the data using its web-based panel. The survey was completed by Chinese individuals aged 18 years or older without cognitive problems. Model parameters of the relationships between infodemic-driven overuse of health care, cyberchondria, and anxiety were analyzed using bootstrapped partial least squares structural equation modeling. Additionally, the moderating effects of coping strategies on the aforementioned relationships were also examined. RESULTS: A total of 986 respondents completed the web-based survey. The mean scores of the Generalized Anxiety Disorder-7 and Cyberchondria Severity Scale-12 were 8.4 (SD 3.8) and 39.7 (SD 7.5), respectively. The mean score of problem-focused coping was higher than those of emotion- and avoidant-focused coping. There was a significantly positive relationship between a high level of infodemic and increased overuse of health care (bootstrapped mean 0.21, SD 0.03; 95% CI 0.1581-0.271). The overuse of health care resulted in more severe cyberchondria (bootstrapped mean 0.107, SD 0.032) and higher anxiety levels (bootstrapped mean 0.282, SD 0.032) in all the models. Emotion (bootstrapped mean 0.02, SD 0.008 and 0.037, SD 0.015)- and avoidant (bootstrapped mean 0.026, SD 0.009 and 0.049, SD 0.016)-focused coping strategies significantly moderated the relationship between the overuse of health care and cyberchondria and that between the overuse of health care and anxiety, respectively. Regarding the problem-based model, the moderating effect was significant for the relationship between the overuse of health care and anxiety (bootstrapped mean 0.007, SD 0.011; 95% CI 0.005-0.027). CONCLUSIONS: This study provides empirical evidence about the impact of coping strategies on the relationship between infodemic-related overuse of health care services and cyberchondria and anxiety. Future research can build on the findings of this study to further explore these relationships and develop and test interventions aimed at mitigating the negative impact of the infodemic on mental health.

Internal and external self-affirmation resources: validation and assessment of psychometric properties of the spontaneous self-affirmation measure using structural equation modeling.

Introduction: People use coping strategies such as self-affirmation to manage threats to their self-esteem. In empirical research, self-affirmation often involves recalling personal values, strengths, or relationships to restore moral integrity. Research shows it improves attitude adjustment, resolves cognitive dissonance, and enhances well-being. Some studies stress the importance of distinguishing between different aspects of self-affirmation, like strengths or social relations. These aspects align with concepts in psychotherapy that differentiate between internal and external resource activation, benefiting health, self-esteem, and resilience. The aim of the current study was twofold: first, to independently test the three-factor structure of the Spontaneous Self-affirmation Measure (SSAM), and second, to integrate self-affirmation strategies into a broader resource activation framework as resilience factors. It also examined associations with self-esteem and effects of age, gender, and education on spontaneous self-affirmation. Methods: 1,100 participants (72% female, age 18-65) were recruited online. The original three-factor structure of the SSAM (with the factors Strengths, Values and Social relations) was examined using structural equation modeling. Further, a theory driven two-factor structure applying an internal and external resources framework was examined, integrating the factors of the SSAM into the taxonomy of resource activation (Internal resources: Strengths and Values; External resources: Social relations). Results: The results of confirmatory factor analyses showed that both the original three-factor structure and the complementary two-factor structure with an Internal resources and External resources factor fit the data appropriately. All three factors of the original factor model showed a high reliability (Strengths: ωt = 0.91, Values: ωt = 0.91, Social relations: ωt = 0.92). We also found measurement invariance across age, gender, and education. Furthermore, group differences regarding gender, education and ethnicity in the utilization of spontaneous self-affirmation strategies were apparent. Finally, it was demonstrated that the Internal resources factor of the complementary two-factor model is significantly more strongly correlated with self-esteem than the External Resources factor [z = 12.80, p < 0.001, 95%CIdiff (0.24, 0.33)]. Discussion: The study confirms the validity of both the three-factor and two-factor structures of the SSAM. Integrating self-affirmation into the resource activation framework may facilitate applying findings from self-affirmation studies to clinical contexts.

Gender differences in the pathway of childhood trauma, impulsivity and adult eating behaviour: a cross-sectional study.

Objective: The current cross-sectional study aimed to examine the association between childhood trauma, impulsivity, binge eating symptoms, and body mass index (BMI) in a sample of males and females. We also aimed to investigate the indirect association of childhood trauma with binge eating through impulsivity while controlling for BMI.Method: Participants were 410 young adults (mean age = 20.9 years, range 18-24; female = 73.9%) who completed online measures of childhood trauma, impulsivity, binge eating symptoms, and self-reported height and weight. Mediation models were tested using multi-group structural equation modelling.Results: Childhood trauma and impulsivity were associated with an increased risk of binge eating symptoms in females but not males, corroborating previous studies. There was a significant difference in the binge eating symptoms index between sexes, but not regarding the index of childhood trauma and impulsivity. Additionally, adverse childhood experiences were associated with impulsivity and the association of childhood trauma with binge eating was mediated by impulsivity in the female sample.Conclusions: Our results suggest sex-dependent patterns and risk factors that may impact binge eating symptoms. The implications of our results suggest that impulsivity might be a vulnerability factor for binge eating, especially for females.

A genetic exploration of the relationship between Posttraumatic Stress Disorder and cardiovascular diseases.

Background and Aims: Experiencing a traumatic event may lead to Posttraumatic Stress Disorder (PTSD), including symptoms such as flashbacks and hyperarousal. Individuals suffering from PTSD are at increased risk of cardiovascular disease (CVD), but it is unclear why. This study assesses shared genetic liability and potential causal pathways between PTSD and CVD. Methods: We leveraged summary-level data of genome-wide association studies (PTSD: N= 1,222,882; atrial fibrillation (AF): N=482,409; coronary artery disease (CAD): N=1,165,690; hypertension: N=458,554; heart failure (HF): N=977,323). First, we estimated genetic correlations and utilized genomic structural equation modeling to identify a common genetic factor for PTSD and CVD. Next, we assessed biological, behavioural, and psychosocial factors as potential mediators. Finally, we employed multivariable Mendelian randomization to examine causal pathways between PTSD and CVD, incorporating the same potential mediators. Results: Significant genetic correlations were found between PTSD and CAD, HT, and HF (rg =0.21-0.32, p≤ 3.08 · 10-16), but not between PTSD and AF. Insomnia, smoking, alcohol dependence, waist-to-hip ratio, and inflammation (IL6, C-reactive protein) partly mediated these associations. Mendelian randomization indicated that PTSD causally increases CAD (IVW OR=1.53, 95% CIs=1.19-1.96, p=0.001), HF (OR=1.44, CIs=1.08-1.92, p=0.012), and to a lesser degree hypertension (OR=1.25, CIs=1.05-1.49, p=0.012). While insomnia, smoking, alcohol, and inflammation were important mediators, independent causal effects also remained. Conclusions: In addition to shared genetic liability between PTSD and CVD, we present strong evidence for causal effects of PTSD on CVD. Crucially, we implicate specific lifestyle and biological mediators (insomnia, substance use, inflammation) which has important implications for interventions to prevent CVD in PTSD patients.

Mindfulness, self-efficacy, and self-regulation as predictors of psychological well-being in EFL learners.

Introduction: Mindfulness, self-efficacy, and self-regulation play vital roles in shaping the psychological well-being of English as a Foreign Language (EFL) learners. This study investigates the interconnections among these constructs and their implications for the psychological well-being of 527 Chinese EFL learners. Methods: A cross-sectional study was conducted among Chinese EFL learners enrolled in a university in China. Participants were recruited through a non-probability convenience sampling method from English language courses. They completed validated self-report questionnaires assessing mindfulness, self-efficacy, self-regulation, and psychological well-being. Structural Equation Modeling (SEM) and mediation analysis were employed to explore the relationships among these constructs. Results: The study found that mindfulness and self-efficacy independently and directly predicted psychological well-being among Chinese EFL learners. Additionally, self-regulation emerged as a significant mediator in the relationship between mindfulness and psychological well-being, suggesting that mindfulness enhances well-being indirectly through improved self-regulation skills. Discussion: These findings underscore the critical roles of mindfulness practices, self-efficacy beliefs, and self-regulation skills in promoting psychological well-being among EFL learners. The implications of this study extend to mindfulness-based interventions and programs designed. However, the study's cross-sectional design limits causal inference, and the use of self-report measures may introduce biases. Moreover, the sample's limited diversity and homogeneous demographic profile, attributed to the convenience sampling from a single university, may constrain the generalizability of the findings. Future research could adopt longitudinal designs and diverse participant samples to further elucidate these relationships and enhance the robustness of the findings.

Role of executive functions in the relations of state- and trait-math anxiety with math performance.

The detrimental effect of math anxiety on math performance is thought to be mediated by executive functions. Previous studies have primarily focused on trait-math anxiety rather than state-math anxiety and have typically examined a single executive function rather than comprehensively evaluating all of them. Here, we used a structural equation modeling approach to concurrently determine the potential mediating roles of different executive functions (i.e., inhibition, switching, and updating) in the relationships between both state- and trait-math anxiety and math performance. A battery of computer-based tasks and questionnaires were administered to 205 university students. Two relevant results emerged. First, confirmatory factor analysis suggests that math anxiety encompassed both trait and state dimensions and, although they share substantial variance, trait-math anxiety predicted math performance over and above state-math anxiety. Second, working memory updating was the only executive function that mediated the relationship between math anxiety and math performance; neither inhibition nor switching played mediating roles. This calls into question whether some general proposals about the relationship between anxiety and executive functions can be extended specifically to math anxiety. We also raise the possibility that working memory updating or general cognitive difficulties might precede individual differences in math anxiety.

Prevalence of celebrity worship: Development and application of the short version of the Celebrity Attitude Scale (CAS-7) on a large-scale representative sample.

Background and aims: Celebrity worship, defined as an excessive admiration towards celebrities, has generated considerable research and public interest. A widely used assessment instrument to measure celebrity worship is the 23-item Celebrity Attitude Scale. However, concerns have been raised regarding the measurement, including the inconsistent factor structure and lack of a cut-off point to identify "celebrity worshipers". The present study aims to address these concerns by testing the psychometric appropriateness of a short, 7-item version of the CAS (i.e., CAS-7) and estimating the prevalence of individuals with high-level celebrity admiration using a representative sample of Hungarian adults (between 18 and 64 years of age) according to gender, age, geographic location, and size of residence. Methods: The total sample comprised 2028 respondents, of which 769 valid responses were administered from participants who reported having a favorite celebrity (51.11% men, Mage = 36.38 years, SD = 13.36). Results: Results indicated an excellent model fit for the two-factor and bifactor model of the CAS-7. Based on the suggested cut-off score of 26, the prevalence of high-level celebrity admiration is 4.53% in the Hungarian adult population (18-64 years of age) and 8.51% among young adults (18-34 years of age). Individuals with this high level of admiration towards a favorite celebrity reported more symptoms of problematic Internet use, depression, anxiety, and stress than individuals with general celebrity admiration levels. Discussion and conclusions: The CAS-7 demonstrated sound psychometric properties, confirming its applicability in research and practice.

Exercise identity and physical activity behavior during late adolescence: A four wave cross-lagged panel model.

Research has shown that physical activity behavior tends to decline across adolescence before stabilizing in adulthood. Identifying salient factors underlying these behavioral changes is therefore imperative for informing intervention development. This study explored the temporal nature of the relationship between exercise identity and physical activity behavior during the transition out of high school. An analysis of data from the Application of integrated Approaches to understanding Physical activity during the Transition to emerging adulthood (ADAPT) prospective cohort study was conducted, involving 1451 Canadian adolescents (Mage = 15.93 ± 0.53 years; 52.4% female). Participants completed the International Physical Activity Questionnaire-Short Form to report weekly moderate-to-vigorous physical activity and an abbreviated version of the Exercise Identity Scale yearly for four years beginning in Grade 11. A four-wave cross-lagged panel model was used to test bi-directional associations between exercise identity and physical activity behavior. Significant auto-regressive effects for exercise identity and physical activity were observed across all four time points. Significant positive cross-lagged paths were observed for exercise identity predicting future physical activity at all time points; however, none of the cross-lagged paths with physical activity predicting future exercise identity were significant. Collectively, these findings support existing theory that emphasizes the role that identity plays in physical activity behavior. Interventions seeking to attenuate the physical activity declines typically observed during the transition to emerging adulthood should therefore consider adopting behavior change techniques that target identity, as it appears to be an important psychological determinant underlying future physical activity engagement.

Gene-environment pathways to cognitive intelligence and psychotic-like experiences in children.

In children, psychotic-like experiences (PLEs) are related to risk of psychosis, schizophrenia, and other mental disorders. Maladaptive cognitive functioning, influenced by genetic and environmental factors, is hypothesized to mediate the relationship between these factors and childhood PLEs. Using large-scale longitudinal data, we tested the relationships of genetic and environmental factors (such as familial and neighborhood environment) with cognitive intelligence and their relationships with current and future PLEs in children. We leveraged large-scale multimodal data of 6,602 children from the Adolescent Brain and Cognitive Development Study. Linear mixed model and a novel structural equation modeling (SEM) method that allows estimation of both components and factors were used to estimate the joint effects of cognitive phenotypes polygenic scores (PGSs), familial and neighborhood socioeconomic status (SES), and supportive environment on NIH Toolbox cognitive intelligence and PLEs. We adjusted for ethnicity (genetically defined), schizophrenia PGS, and additionally unobserved confounders (using computational confound modeling). Our findings indicate that lower cognitive intelligence and higher PLEs are significantly associated with lower PGSs for cognitive phenotypes, lower familial SES, lower neighborhood SES, and less supportive environments. Specifically, cognitive intelligence mediates the effects of these factors on PLEs, with supportive parenting and positive school environments showing the strongest impact on reducing PLEs. This study underscores the influence of genetic and environmental factors on PLEs through their effects on cognitive intelligence. Our findings have policy implications in that improving school and family environments and promoting local economic development may enhance cognitive and mental health in children.

Childhood is a critical period for brain development. Difficult experiences during this developmental phase may contribute to reduced intelligence and poorer mental health later in life. Genetics and environmental factors also play roles. For example, having family support or a higher family income has been linked to better brain health outcomes for children. Delusions or hallucinations, or other psychotic-like experiences during childhood, are linked with poor mental health later in life. Children who experience psychotic-like episodes between the ages of nine and eleven have a higher risk of developing schizophrenia or related conditions. Environmental circumstances during childhood also appear to play a crucial role in shaping the risk of schizophrenia or related conditions. Park, Lee et al. show that positive parenting and supportive school and neighborhood environments boost child intelligence and mental health. In the experiments, Park, Lee et al. analyzed data on 6,602 children to determine how genetics and environmental factors shaped their intelligence and mental health. The models show that children with higher intelligence have a lower risk of psychosis. Both genetics and supportive environments contribute to higher intelligence. Complex interactions between biology and social factors shape children's intelligence and mental health. Beneficial genetics and coming from a family with more financial resources are helpful. Yet, social environments, such as having parents who use positive child-rearing practices, or having supportive schools or neighborhoods, have protective effects that can offset other disadvantages. Policies that help parents, encourage supportive school environments, and strengthen neighborhoods may boost children's intelligence and mental health later in life.