Bayesian Path Analysis Research Articles

Emotion word repertoire in the adult attachment interview is linked to reduced suicide attempts in patients with borderline personality disorder

BackgroundThis study explored the association between emotion word repertoire (EWR), attachment, reflective functioning and personality organization (PO) and suicidal behavior in borderline personality disorder (BPD) patients. MethodsThe current study performed a secondary data analysis from a randomized control trial for BPD patients (all female; n = 87; age: m = 27; SD = 7.42). EWR was assessed via machine-scoring transcripts of Adult Attachment Interviews (AAI) for affective words using the VETA electronic scoring software for the Levels of Emotional Awareness Scale (LEAS). Generated scores were related to impairments in PO (Structured Interview for Personality Organization; STIPO), attachment organization (AAI) and mentalization (Reflective Functioning Scale), general symptom severity (Brief Symptom Inventory; BSI-53), self-harm and suicidal behavior. Independent effects of the investigated predictors were studied using Bayesian path analysis. ResultsCorrected for education, findings in Bayesian path analysis suggest an independent negative association between EWR and suicide attempts (BE = −.32; 95 % CI [-.51, −.12]) and positive associations of deficits in PO with psychiatric symptoms (BE = .23; 95 % CI [.01, .44]) as well as suicide attempts (BE = .30; 95 % CI [.08, .49]). DiscussionThe findings underscore the potential role of high EWR and PO as a protective factor for suicidal behavior in individuals with BPD.

Childhood Racism and Cardiometabolic Risk in Latina Mothers Across the First Postpartum Year.

Immigrant Latinas, particularly of Mexican descent, initially achieve healthy perinatal outcomes. Although this advantage wears off across generations in the United States (US), the early life psychosocial mechanisms that may initiate a cascade of biological vulnerabilities remain elusive. The current investigation aimed to understand the extent to which childhood experiences of racism may contribute to elevated levels of C-reactive protein (CRP), an early indicator of cardiometabolic risk, during the first postpartum year. Latinas from the Community and Child Health Network ( N = 457) retrospectively reported experiences of childhood racism and childhood country of residence via structured questionnaires. Interviewers collected CRP bloodspots and height and weight measurements for body mass index at 6 months and 1 year postpartum. Latinas who grew up in the US experienced a steeper increase of CRP levels across the first postpartum year ( β = 0.131, p = .009) and had higher CRP levels 1 year postpartum than Latinas who grew up in Latin America. Based on Bayesian path analyses, Latinas who grew up in the US reported higher levels of childhood racism than Latinas who immigrated after childhood ( β = 0.27; 95% credible interval = 0.16-0.37). In turn, childhood racism mediated the relationship between country of childhood residence and elevated CRP at 6 months and 1 year postpartum, even after adjusting for sociodemographic and behavioral covariates. After adjusting for body mass index, mediational relationships became nonsignificant. This study is an important first step toward understanding how childhood racism may contribute to postmigratory health patterns among Latinas, particularly cardiometabolic risk 1 year after childbirth.

Effects of landscape simplicity on crop yield: A reanalysis of a global database.

Ecological theory on diversity suggests that agriculture requires sufficient biodiversity, ecological function, and critical ecosystem services to remain sustainable and resilient. As such, research related to the effect of ecosystem services and diversity on crop yields has increased significantly in the past decade. One such study by Dainese and colleagues that presented a global synthesis of a compiled database of 1,475 crop experiments related to pollination and pest control ecosystem services and crop yields quickly garnered attention in the literature with more than 540 citations since its publication in 2019. Given the strong influence of this study on the research on diversity and agricultural production, we conduct a reanalysis on the publicly available dataset from the global synthesis study to test the robustness of findings to modeling approach and assumptions. In our reanalysis we apply ordinary least squares regression methods rather than Bayesian path analysis to the same data to examine the robustness of observed field-scale landscape diversity-ecosystem services-crop yield relationships. The result of our reanalysis supports the findings of Dainese and colleagues, illustrating the robustness of findings that suggest that increasing landscape simplicity is associated with lower rates of pollination and pest control ecosystem service provisioning and lower crop yields. However, our analyses also suggest that provisioning of pollination and pest control services account for only a small fraction of the total effect of landscape simplicity on crop yields. Furthermore, we find that management and soil health may mediate the effects of landscape simplicity on ecosystem services and crop yields. While our results complement previous findings for landscape simplicity and ecosystem services, they also indicate that above and below ground ecosystem services are not mutually exclusive but concurrently contribute to support crop production in agriculture.

Geographic range size and speciation in honeyeaters

BackgroundDarwin and others proposed that a species’ geographic range size positively influences speciation likelihood, with the relationship potentially dependent on the mode of speciation and other contributing factors, including geographic setting and species traits. Several alternative proposals for the influence of range size on speciation rate have also been made (e.g. negative or a unimodal relationship with speciation). To examine Darwin’s proposal, we use a range of phylogenetic comparative methods, focusing on a large Australasian bird clade, the honeyeaters (Aves: Meliphagidae).ResultsWe consider the influence of range size, shape, and position (latitudinal and longitudinal midpoints, island or continental species), and consider two traits known to influence range size: dispersal ability and body size. Applying several analytical approaches, including phylogenetic Bayesian path analysis, spatiophylogenetic models, and state-dependent speciation and extinction models, we find support for both the positive relationship between range size and speciation rate and the influence of mode of speciation.ConclusionsHoneyeater speciation rate differs considerably between islands and the continental setting across the clade’s distribution, with range size contributing positively in the continental setting, while dispersal ability influences speciation regardless of setting. These outcomes support Darwin’s original proposal for a positive relationship between range size and speciation likelihood, while extending the evidence for the contribution of dispersal ability to speciation.

Tourism pressure as a driver of social inequalities: a BSEM estimation of housing instability in European urban areas

There is a certain agreement in the regional economics literature on tourism development as a lever of territorial cohesion and regional convergence. Yet, evidence about its impact on social inclusion within destination regions is scant. The emerging literature placing tourism development as a driver of inequality relies mostly on qualitative methods and individual case studies, thus overlooking a cross-national perspective. In this article, we address this gap by estimating the impacts of tourism growth between 2013 and 2018 on housing instability through its effects on rents and the perceived financial burden of housing costs. Based on a combination of data sourced from Eurostat and a geo-located dataset of Airbnb listings, a Bayesian path analysis model was specified with a sample of densely populated areas in 85 European regions. Results reveal the controversial influence of tourism on urban destinations, indicating how the increase in the number of visitors may benefit mean incomes and relieve the pressure on housing costs, while at the same time, driving a higher dispersion of income and residential displacement. A clear difference is established between homeowners and tenants to this regard: the former can use the opportunities of rent extraction in the platform economy to withstand the economic pressure of tourism, while the latter are more exposed to the risk of having to leave their homes.

Inpatient psychotherapy for depression in a large routine clinical care sample: A Bayesian approach to examining clinical outcomes and predictors of change

BackgroundA routinely collected dataset was analyzed (1) to determine the naturalistic effectiveness of inpatient psychotherapy for depression in routine psychotherapeutic care, and (2) to identify potential predictors of change. MethodsIn a sample of 22,681 inpatients with depression, pre-post and pre-follow-up effect sizes were computed for various outcome variables. To build a probabilistic model of predictors of change, an independent component analysis generated components from demographic and clinical data, and Bayesian EFA extracted factors from the available pre-test, post-test and follow-up questionnaires in a subsample (N = 6377). To select the best-fitted model, the BIC of different path models were compared. A Bayesian path analysis was performed to identify the most important factors to predict changes. ResultsEffect sizes were large for the primary outcome and moderate for various secondary outcomes. Almost all pretreatment factors exerted significant influences on different baseline factors. Several factors were found to be resistant to change during treatment: suicidality, agoraphobia, life dissatisfaction, physical disability and pain. The strongest cross-loadings were observed from suicidality on negative cognitions, from agoraphobia on anxiety, and from physical disability on perceived disability. LimitationsNo causal conclusions can be drawn directly from our results as we only used cross-lagged panel data without control group. ConclusionsThe results indicate large effects of inpatient psychotherapy for depression in routine clinical care. The direct influence of pretreatment factors decreased over the course of treatment. However, some factors appeared stable and difficult to treat, which might hinder treatment outcome. Findings of different predictors of change are discussed.

An integrated model of school students’ academic achievement and life satisfaction. Linking soft skills, extracurricular activities, self-regulated learning, motivation, and emotions

The role of soft skills at school is still debated, but they have emerged as important factors for students’ academic achievement and life satisfaction. This study focuses on the combined influence of soft skills (in terms of adaptability, curiosity, leadership, initiative, perseverance, and social awareness), extracurricular activities, achievement emotions, self-regulated learning, motivation, and cognitive abilities on academic achievement and life satisfaction. A sample of 603 students (5th to 12th graders) participated in the study. The results of a Bayesian path analysis based on meta-analytical priors show that soft skills were (i) directly positively associated with students’ achievement emotions, self-regulated learning, motivation, and life satisfaction and (ii) indirectly related with academic achievement through the mediation of self-regulated learning and motivation. On the other hand, only soft skills and achievement emotions were directly related to life satisfaction. Extracurricular activities showed a positive association with both soft skills and cognitive abilities. These results are the first to demonstrate the importance of soft skills and extracurricular activities when integrating all the above-mentioned factors in a model of students’ academic achievement and life satisfaction.

Work in times of Brexit: explanatory mechanisms linking macropolitical events with employee well-being

ABSTRACT With this study, we examine work-related phenomena that may convey the relationship between a macropolitical event (i.e., Brexit) and personal well-being in a sample of UK-based academics. Drawing on transactional stress theory, we propose an appraisal-based mediation model. Specifically, we argue that cognitive appraisal of Brexit relates to job (in)security and the relationship quality with co-workers which represent indicators of the fundamental humgan needs for safety and belonging and thus, relate to personal well-being. We conducted a three-wave panel study, the final sample consisted of 115 individuals, and we used Bayesian path analysis to test the presumed hypotheses. Results revealed that academics in this sample predominantly appraised Brexit as threatening and less as challenging. As expected, threat appraisal related to more qualitative job insecurity and worse well-being. Further, deviating from communal appraisal (i.e., appraising Brexit as challenging) related to deteriorating relationship quality and lower well-being. Our findings illustrate the relevance of an appraisal-based perspective when researching controversial shared events. They further outline that cognitive appraisal likely occurs in a social context whereby challenge appraisal may entail a dark side when it indicates a deviation from peers’ norms.

Predictors of school students' leisure-time physical activity: An extended trans-contextual model using Bayesian path analysis.

The present study aimed to examine effects of motivational and social cognition constructs on children's leisure-time physical activity participation alongside constructs representing implicit processes using an extended trans-contextual model. The study adopted a correlational prospective design. Secondary-school students (N = 502) completed self-report measures of perceived autonomy support from physical education (PE) teachers, autonomous motivation in PE and leisure-time contexts, and social cognition constructs (attitudes, subjective norms, perceived behavioral control), intentions, trait self-control, habits, and past behavior in a leisure-time physical activity context. Five weeks later, students (N = 298) self-reported their leisure-time physical activity participation. Bayesian path analyses supported two key premises of the model: perceived autonomy support was related to autonomous motivation in PE, and autonomous motivation in PE was related to autonomous motivation in leisure time. Indirect effects indicated that both forms of autonomous motivation were related to social cognition constructs and intentions. However, intention was not related to leisure-time physical activity participation, so model variables reflecting motivational processes did not account for substantive variance in physical activity participation. Self-control, attitudes, and past behavior were direct predictors of intentions and leisure-time physical activity participation. There were indirect effects of autonomous motivation in leisure time on intentions and physical activity participation mediated by self-control. Specifying informative priors for key model relations using Bayesian analysis yielded greater precision for some model effects. Findings raise some questions on the predictive validity of constructs from the original trans-contextual model in the current sample, but highlight the value of extending the model to incorporate additional constructs representing non-conscious processes.

Can we explain running-related injury preventive behavior? A path analysis

BackgroundBehavioral and social science theories/models have been gaining attention in sports injury prevention. ObjectiveTo investigate the potential of the Theory of Planned Behavior in explaining running-related injury preventive behavior. MethodsSix-month prospective cohort study based on data gathered from a randomized controlled trial. From a total of 1512 invited trail runners, 232 were included in this study. Preventive behaviors and their determinants were assessed at baseline and two and six months after baseline. Five-point Likert scales were used to assess the determinants of preventive behavior. A Bayesian path analysis was conducted applying mixed models and mediation analysis. ResultsA 1-point increase in intention, attitude, subjective norm, and perceived behavioral control predicted an increase of 54% (95% Bayesian credible interval [BCI]: 38, 71) in the rate of performing running-related injury preventive behavior, explaining 49% (R2 0.49; 95% BCI: 0.41, 0.56) of the variance around preventive behavior. Intention and perceived behavioral control predicted running-related injury preventive behavior directly, while 40% (95% BCI: 21, 61) and 44% (95% BCI: 20, 69) of the total effect of attitude was mediated by intention and perceived behavioral control, respectively. Attitude, subjective norm, and perceived behavioral control predicted intention. ConclusionsThe Theory of Planned Behavior may have the potential to explain half of the variance around running-related injury preventive behavior and intention. Therefore, such theory may be considered a relevant and useful tool in developing, investigating, and/or implementing programs aimed at preventing running-related injuries.

Cannabis Outcome Expectancies, Cannabis Use Motives, and Cannabis Use among a Small Sample of Frequent Using Adults.

Little is known about the factors influencing use among frequent cannabis users, defined here as using at least three times per week. Outcome expectancies and motives for cannabis use have been independently examined in relation to cannabis use, but not among frequent users. Further, the associations among distinct expectancies and motives for cannabis use have yet to be explored. The current study examined whether expectancies influence cannabis use through cannabis use motives among frequent users. Additionally, we examined more nuanced relationships among three cannabis outcome expectancies (relaxation/tension reduction, social, perceptual/cognitive) and four motives (enhancement, social, coping, expansion). Bayesian path analysis with informative priors was used to examine associations among expectancies, motives, and outcomes in a sample of 54 (63% male) young adult frequent users (i.e., at least three times per week; 65% used daily). Participants were recruited from the community and completed self-report questionnaires assessing cannabis use, expectancies, and motives. Findings support hypotheses that cannabis use expectancies were associated with unique motives for frequent cannabis users. Perceptual/cognitive enhancement expectancies were the only expectancy to consistently relate to all four cannabis use motives. Social expectancies were related to enhancement, social, and expansion motives for use, and relaxation/tension reduction expectancies were associated with coping motives. Results extend previous work examining direct and indirect effects of expectancies and motives among frequent using young adults. Findings support the potential clinical utility of exploring the perceived functional benefits of cannabis use for individual frequent users as well as potential alternatives that might serve similar functions with fewer risks and consequences.

The association between stress mindset and physical and psychological wellbeing: testing a stress beliefs model in police officers

Objective: Emergency service workers like police officers experience high levels of stress in the course of their regular duties. Holding particular stress mindsets may help to mitigate the deleterious effects of stress and promote wellbeing in workers experiencing regular stress. The study aimed to examine the processes by which stress mindsets relate to health and wellbeing in police officers. A stress beliefs model in which perceived somatic symptoms and coping behaviours mediate effects of stress mindsets on outcomes was tested.Design: Police officers (N = 134) completed an online cross-sectional survey.Main outcome measures: Perceived somatic symptoms, proactive coping behaviours, physical and psychological wellbeing, and perceived stress.Results: Bayesian path analysis with informative priors revealed indirect effects of stress mindsets on psychological wellbeing and perceived stress through proactive coping behaviours and perceived somatic symptoms. Physical and psychological wellbeing, and perceived stress were predicted by stress mindsets directly, and through perceived somatic symptoms.Conclusion: The findings support model predictions that behaviours aimed at proactively meeting demands and perceived somatic symptoms mediated the relationship between stress mindset and health-related outcomes. The findings provide further foundational knowledge on mechanisms through which stress mindset is associated with outcomes and can inform future longitudinal and experimental research.

The Effects of Magnesium Sulfate with Lidocaine for Infraclavicular Brachial Plexus Block for Upper Extremity Surgeries.

Background An addition of analgesic to anesthetic agents is likely to increase the effects of anesthesia and reduce associated adverse outcomes. Several adjuvants are studied in this regard. The aim of this study is to investigate the effects of adding a magnesium adjunct to lidocaine for the induction of infraclavicular block. Methods Patients referred to Shohada Ashayer Hospital, Khorramabad, for wrist and hand surgery were enrolled in this study. The intervention/case group included patients who received 18 mL lidocaine (2%) + 2 mL magnesium sulfate (50%), 10 mL normal saline; control group: 18 mL lidocaine (2%) + 12 mL of normal saline. After the induction of ultrasound-guided infraclavicular block, parameters such as duration of reach with respect to complete sensory and motor block, hemodynamic parameters (hypotension and bradycardia), and postoperative pain, using visual analogue scale criteria, were measured. The obtained data were analyzed using a Bayesian path analysis model. Results A total of 30 patients were included in each group. In the case group, sensory and motor block was achieved for 12.136 ± 4.96 and 13 ± 3.589 minutes more than those in the control group. The duration of sedation and immobilization was 2.57 ± 0.764 minute and 4.66 ± 0.909 minutes lengthier in the case group. Regarding the hemodynamic parameters, blood pressure was 0.217 ± 5.031 and 1.59 ± 5.14 units lower in the case group, immediately following the block and the surgery. Similarly, heart rate was 0.776 ± 4.548 and 0.39 ± 3.987 units higher in the case group, after 30 minutes and 2 hours of the procedure. A decrease in the pain was seen at 8, 10, and 12 hours after the surgery, as compared with the control group. An addition of magnesium to lidocaine for infraclavicular block resulted in a significantly longer sedation and immobilization period and decreased postoperative pain at 12 hours. Conclusion Heart rate and blood pressure did not decrease significantly in the case group. It can be concluded that addition of magnesium sulfate to lidocaine can produce better anesthetic and analgesic outcomes with low-to-no adverse effects.

Determinants of low bone mineral density in people with multiple sclerosis: Role of physical activity

BackgroundPeople with multiple sclerosis (PwMS) have reduced bone mineral density (BMD), but the causes are unclear. Some factors that may cause reduced BMD in PwMS have been understudied, including physical activity, inflammation, cortisol, symptomatic fatigue, and depression. The aim of this study was to investigate factors that may uniquely contribute to reduced BMD in PwMS as compared to people without MS. We hypothesized that physical activity would be the primary determinant of low BMD in PwMS, with additional contributions from inflammation and sympathetic nervous system activation. MethodsWe tested 23 PwMS (16 women; median EDSS: 2) and 22 control participants (16 women). BMD was measured from the femoral neck and lumbar spine with dual x-ray absorptiometry. Disability was measured with the Expanded Disability Status Scale, and functional capacity was measured with the Multiple Sclerosis Functional Composite. Questionnaires measured symptomatic fatigue and depression. A blood draw was used to measure calcium, phosphate, vitamin D, N-terminal telopeptide, osteopontin, and cytokine markers of inflammation. Physical activity was measured with accelerometry. Salivary cortisol and cardiac heart rate variability also were obtained. All outcome variables were compared between groups with independent samples t-tests. Variables that were different between groups and significantly correlated (Pearson product-moment) with femoral neck BMD, were included in a theoretical model to explain femoral neck BMD. The expected direction of relations in the theoretical model were developed based upon the results of previous research. A Bayesian path analysis was used to test the relations of predictive variables with femoral neck BMD and interrelations among predictive variables, as detailed in the theoretical model. ResultsPwMS had lower BMD at the femoral neck than controls (p = =0.04; mean difference: -0.09; 95% CI: -0.2, -0.004; Cohen's d = =0.65), and there was a smaller, statistically non-significant difference in BMD at the lumbar spine (p = =0.07; mean difference: -0.08; 95% CI: -0.17, 0.007; Cohen's d = =0.59). PwMS also had lower functional capacity (p ≤ 0.001; Cohen's d = =1.50), greater fatigue (p<0.001; Cohen's d = =1.88), greater depression (p<0.001; d = =1.31), and decreased physical activity (p = =0.03; Cohen's d = =0.62). Using path analysis to test our theoretical model, we found that disability (standardized estimate= -0.17), physical activity (standardized estimate=0.39), symptomatic fatigue (standardized estimate= -0.36), depression (standardized estimate= -0.30), and inflammatory markers (standardized estimate=0.27) explained 51% of the variance in femoral neck BMD. Inflammatory markers were also predictive of disability (standardized estimate=0.44) and physical activity (standardized estimate= -0.40). Symptomatic fatigue and depression were correlated (r = =0.64). ConclusionPhysical activity, symptomatic fatigue, depression, disability, and inflammation all contributed independently to decreased femoral neck BMD in PWMS. Bone metabolism in PwMS is complex. Efforts to increase physical activity and address symptomatic fatigue and depression may improve bone mineral density in PwMS. Future research should investigate the mechanisms through which symptomatic fatigue and depression contribute to reduced BMD in PwMS.

Microscale trait-environment associations in two closely-related South African shrubs.

Plant traits are often associated with the environments in which they occur, but these associations often differ across spatial and phylogenetic scales. Here we study the relationship between microenvironment, microgeographical location, and traits within populations using co-occurring populations of two closely related evergreen shrubs in the genus Protea. We measured a suite of functional traits on 147 plants along a single steep mountainside where both species occur, and we used data-loggers and soil analyses to characterize the environment at 10 microsites spanning the elevational gradient. We used Bayesian path analyses to detect trait-environment relationships in the field for each species. We used complementary data from greenhouse grown seedlings derived from wild collected seed to determine whether associations detected in the field are the result of genetic differentiation. Microenvironmental variables differed substantially across our study site. We found strong evidence for six trait-environment associations, although these differed between species. We were unable to detect similar associations in greenhouse-grown seedlings. Several leaf traits were associated with temperature and soil variation in the field, but the inability to detect these in the greenhouse suggests that differences in the field are not the result of genetic differentiation.

Rapid Divergence of Predator Functional Traits Affects Prey Composition in Aquatic Communities.

Identifying traits that underlie variation in individual performance of consumers (i.e., trait utility) can help reveal the ecological causes of population divergence and the subsequent consequences for species interactions and community structure. Here, we document a case of rapid divergence (over the past 100 generations, or ∼150 years) in foraging traits and feeding efficiency between a lake and stream population pair of threespine stickleback. Building on predictions from functional trait models of fish feeding, we analyzed foraging experiments with a Bayesian path analysis and elucidated the traits explaining variation in foraging performance and the species composition of ingested prey. Despite extensive previous research on the divergence of foraging traits among populations and ecotypes of stickleback, our results provide novel experimental evidence of trait utility for jaw protrusion, gill raker length, and gill raker spacing when foraging on a natural zooplankton assemblage. Furthermore, we discuss how these traits might contribute to the differential effects of lake and stream stickleback on their prey communities, observed in both laboratory and mesocosm conditions. More generally, our results illustrate how the rapid divergence of functional foraging traits of consumers can impact the biomass, species composition, and trophic structure of prey communities.

Motivational predictors of students' participation in out-of-school learning activities and academic attainment in science: An application of the trans-contextual model using Bayesian path analysis

Given the shortfall in students studying science, promotion of motivation and engagement in science education is a priority. The current study applied the trans-contextual model to study the motivational predictors of participation in science learning activities in secondary-school students. In a three-wave design, secondary-school students completed measures of perceived autonomy support, autonomous and controlled motivation, social-cognitive beliefs (attitudes, subjective norms, perceived control), intentions, and self-reported participation in out-of-school science learning activities. Five-weeks later, students self-reported their science learning activities. Students' science grades over the semester period were obtained. Bayesian path analyses supported model hypotheses: in-school autonomous motivation predicted out-of-school autonomous motivation, beliefs, intentions, science activity participation, and science grades. Specifying informative priors for key model relations using Bayesian analysis yielded greater precision in estimates. Findings provide evidence for a link between students' autonomous motivation toward science activities across contexts and may inform interventions promoting motivation and participation in science activities.

Grit and self-discipline as predictors of effort and academic attainment.

Beyond ability, traits related to perseverance, such as grit and self-discipline, are associated with adaptive educational outcomes. Few studies have examined the independent effects of these traits on outcomes and the mechanisms involved. This study estimated parameters of a process model in which grit-perseverance of effort (grit-effort) and consistency of interest (grit-interest) dimensions and self-discipline were independent predictors of students' science grades. The effect of the grit-effort on grades was expected to be mediated by students' self-reported effort on optional out-of-school science learning activities. Secondary school students (N=110) aged between 12 and 14years. The study adopted a correlational design with measures taken on three occasions. Students completed self-report measures of grit and self-discipline early in the semester and effort on optional out-of-school learning activities 5weeks later. Students' science grades were collected at the end of the semester. Data were analysed using Bayesian path analyses using non-informative and informative priors derived from previous research. Consistent with predictions, we found effects of grit-effort on science grades mediated by effort, and self-discipline on grades. Contrary to predictions, we also found an effect of self-discipline on grades mediated by effort. Zero was a credible value for direct effects of grit-effort on grades, and grit-interest on effort and grades. Results suggest grit-effort and self-discipline relate to effort on educational activities linked to better grades. The direct effect of self-discipline on grades suggests that it may be related to other activities that determine science attainment.

Determinants of physical activity promotion by smoking cessation advisors

ObjectiveTo investigate the cross-sectional association between personal physical activity (PA) level, Theory of Planned Behavior (TPB) constructs toward PA promotion, and PA promotion behavior among smoking cessation advisors. Method149 smoking cessation advisors were invited to complete online questionnaires. Hypotheses were tested using Bayesian path analysis. ResultsAttitudes and perceived behavioral control (PBC) of smoking cessation advisors were related to PA promotion intentions; intentions were in turn related to PA promotion behaviors. Advisors’ personal PA level was indirectly associated with PA promotion behaviors through PBC and PA promotion intentions. ConclusionThe TPB is a relevant theoretical framework with which to explore determinants of PA promotion behavior among smoking cessation advisors. The PA level of health care professionals may be linked to PA promotion behavior through some TPB constructs. Practice implicationsSmoking cessation advisor training should include education on attitude development (e.g., PA benefits on smoking cessation), PBC (e.g., modality of PA prescription) and PA promotion intentions (e.g., goal setting). Smoking cessation advisors should also be encouraged to regularly practice PA in order to improve their PA promotion behaviors.

Military L2 immersion

Abstract The purpose of the present study was to examine some of the motivations and longitudinal consequences of military service in L2 Swedish for L1 Finnish conscripts in Finland’s only Swedish language garrison. Cross-sectional data (N = 42), analyzed with Bayesian path analysis, indicates that promotional instrumentality enhanced participants’ L2 ideal selves, but integrative orientation did not. The L2 ideal self predicts L2 learning intentions in the army, but only among learners with low L2 proficiency at the beginning of military service. Longitudinal data (N = 17), analyzed with a Bayesian model selection procedure, shows that after six months in the army, participants reported higher levels of L2 proficiency, lower levels of L2 use anxiety and more positive attitudes towards L2 speakers than at the beginning of military service.