Teachers’ Work Engagement and Burnout Profiles: Associations With a Sense of Efficacy and Interprofessional Collaboration at School

This study provides new insights into the work-related well-being of teachers, defined here as engagement and burnout, by investigating their associations with the teachers’ sense of efficacy and interprofessional collaboration in schools. Using a person-oriented approach and latent profile analysis, a sample of Finnish comprehensive school teachers (N = 355) were classified based on their work engagement and burnout. Three profiles were identified: engaged, engaged-exhausted, and burned-out. Teachers with distinct profiles differed from each other in terms of their sense of efficacy and experiences of interprofessional collaboration, suggesting that both might have an important role in enhancing work engagement and preventing burnout.

A Person-Centered Approach to Resilience and Vulnerability in Emerging Adulthood: Predictions From Parenting and Personality in Adolescence

In this person-centered study, we identified different profiles of resilience and vulnerability in emerging adulthood in response to previously experienced stressful life events. Additionally, we examined whether mothers’ and fathers’ parenting and participants’ personality traits in adolescence predicted these profiles. Data from the Flemish Study on Parenting, Personality, and Development (N = 346 families) were used. At T1 (2004; Mage = 11 years), T2 (2007), and T3 (2009), mothers and fathers reported on their parenting and their child’s personality. At T4 (2018; Mage = 25 years), emerging adults retrospectively self-reported the occurrence and impact of 22 stressful life events and rated current behavior problems and subjective well-being. Latent profile analysis revealed three profiles: Competent (71%; low stress, low behavior problems, high subjective well-being), Vulnerable (21%; average stress, high behavior problems, low subjective well-being), and Resilient (9%; high stress, average behavior problems, average subjective well-being). Emerging adults in the Resilient profile had experienced higher levels of maternal positive parenting and were less emotionally stable and conscientious than those in the Competent profile. Furthermore, emerging adults in the Vulnerable profile were less emotionally stable than their peers in the Competent profile. These findings reveal new insights into the heterogeneous patterns of emerging adults’ adaptation following stressful life events.

Risky Sexual Behavior Profiles in Youth: Associations With Borderline Personality Features

Adolescence and young adulthood are peak periods for risky sexual behaviors (RSB) and borderline personality disorder (BPD) features. RSB is a major public health concern and adolescents with BPD may be particularly vulnerable to RSB, but this is understudied. The aim of this study was to identify distinct RSB profiles in youth and determine whether a specific profile was associated with BPD features. Participants were 220 adolescents and young adults (age 14–21) recruited from the community. To identify groups of adolescents and young adults who engage in similar RSB, a latent profile analysis (LPA) was conducted on sexually active youth (57%). Next ANOVA was used to identify how profiles differed in terms RSB dimensions and BPD features. We identified three distinct RSB profiles: (1) a Low RSB profile that was manifested by the majority (77.7%) of youth; (2) an Unprotected Sex in Relationships profile (13.3%) and; (3) an Impulsive Sex Outside Relationships profile (12%) which was manifested by youth with significantly higher BPD features. The findings shed light on the difficulties youth with BPD manifest around integrating sexuality, intimacy, fidelity, and love. This contrasts with the majority of youth who are sexually active in the context of relationships and engage in little or no RSB. The findings have important clinical implications. Adolescent sexuality is frequently in the blind spot of clinicians. To address the elevated risk of RSB in adolescents with BPD, interventions are needed to help adolescents navigate this period and improve their understanding of the reasons for RSB while addressing difficulties in establishing sexual and attachment relationships.

Who Makes an Effort? A Person-Centered Examination of Motivation and Beliefs as Predictors of Students’ Effort and Performance on the PISA 2015 Science Assessment

Each time new PISA results are presented, they gain a lot of attention. However, there are many factors that lie behind the results, and they get less attention. In this study, we take a person-centered approach and focus on students’ motivation and beliefs, and how these predict students’ effort and performance on the PISA 2015 assessment of scientific literacy. Moreover, we use both subjective (self-report) and objective (time-based) measures of effort, which allows us to compare these different types of measures. Latent profile analysis was used to group students in profiles based on their instrumental motivation, enjoyment, interest, self-efficacy, and epistemic beliefs (all with regard to science). A solution with four profiles proved to be best. When comparing the effort and performance of these four profiles, we saw several significant differences, but many of these differences disappeared when we added gender and the PISA index of economic, social, and cultural status (ESCS) as control variables. The main difference between the profiles, after adding control variables, was that the students in the profile with most positive motivation and sophisticated epistemic beliefs performed best and put in the most effort. Students in the profile with unsophisticated epistemic beliefs and low intrinsic values (enjoyment and interest) were most likely to be classified as low-effort responders. We conclude that strong motivation and sophisticated epistemic beliefs are important for both the effort students put into the PISA assessment and their performance, but also that ESCS had an unexpectedly large impact on the results.

Paranormal Experience Profiles and Their Association With Variations in Executive Functions: A Latent Profile Analysis

This study investigated relationships between inter-class variations in paranormal experience and executive functions. A sample of 516 adults completed self-report measures assessing personal encounter-based paranormal occurrences (i.e., Experience, Practitioner Visiting, and Ability), executive functions (i.e., General Executive Function, Working and Everyday Memory, and Decision Making) together with Emotion Regulation and Belief in the Paranormal. Paranormal belief served as a measure of convergent validity for experience-based phenomena. Latent profile analysis (LPA) combined experience-based indices into four classes based on sample subpopulation scores. Multivariate analysis of variance (MANOVA) then examined interclass differences. Results revealed that breadth of paranormal experience was associated with higher levels of executive functioning difficulties for General Executive Function, Working Memory, Decision Making, and Belief in the Paranormal. On the Everyday Memory Questionnaire, scores differed on Attention Tracking (focus loss) and Factor 3 (visual reconstruction), but not Retrieval (distinct memory failure). In the case of the Emotion Regulation Scale, class scores varied on Expressive Suppression (control), however, no difference was evident on Cognitive Reappraisal (reframing). Overall, inter-class comparisons identified subtle differences in executive functions related to experience. Since the present study was exploratory, sampled only a limited subset of executive functions, and used subjective, self-report measures, further research is necessary to confirm these outcomes. This should employ objective tests and include a broader range of executive functions.

Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis

Background As social media is a major channel of interpersonal communication in the digital age, social media addiction has emerged as a novel mental health issue that has raised considerable concerns among researchers, health professionals, policy makers, mass media, and the general public. Objective The aim of this study is to examine the prevalence of social media addiction derived from 4 major classification schemes (strict monothetic, strict polythetic, monothetic, and polythetic), with latent profiles embedded in the empirical data adopted as the benchmark for comparison. The extent of matching between the classification of each scheme and the actual data pattern was evaluated using sensitivity and specificity analyses. The associations between social media addiction and 2 comorbid mental health conditions—depression and anxiety—were investigated. Methods A cross-sectional web-based survey was conducted, and the replicability of findings was assessed in 2 independent samples comprising 573 adults from the United Kingdom (261/573, 45.6% men; mean age 43.62 years, SD 12.24 years) and 474 adults from the United States (224/474, 47.4% men; mean age 44.67 years, SD 12.99 years). The demographic characteristics of both samples were similar to those of their respective populations. Results The prevalence estimates of social media addiction varied across the classification schemes, ranging from 1% to 15% for the UK sample and 0% to 11% for the US sample. The latent profile analysis identified 3 latent groups for both samples: low-risk, at-risk, and high-risk. The sensitivity, specificity, and negative predictive values were high (83%-100%) for all classification schemes, except for the relatively lower sensitivity (73%-74%) for the polythetic scheme. However, the polythetic scheme had high positive predictive values (88%-94%), whereas such values were low (2%-43%) for the other 3 classification schemes. The group membership yielded by the polythetic scheme was largely consistent (95%-96%) with that of the benchmark. Conclusions Among the classification schemes, the polythetic scheme is more well-balanced across all 4 indices.

Distinct Patterns of Problematic Smartphone Use: A Latent Profile Analysis Among Chinese College Students

Background: This study aimed to categorize different subgroups of problematic smartphone use among Chinese college students. Differences in gender and psychosocial characteristics of the categorized groups were also examined.Methods: A total of 1,123 participants completed the Mobile Phone Addiction Index Scale (MPAI), the Center for Epidemiologic Studies Depression Scale (CES-D), the Perceived Social Support Scale, and the Perceived Stress Scale. Using latent profile analysis (LPA), we identified different subgroups of problematic smartphone use among college students. Multivariate logistic regression analysis was implemented to examine the relationship between latent classes and demographic, psychosocial covariates.Results: Four latent classes were identified: a low-risk group, a moderate-risk with no evasiveness group, a moderate-risk with evasiveness group, and high-risk group that accounted for 11.0%, 24.1%, 35.5%, and 29.4% of the total sample, respectively. Further analysis revealed that compared with the “low-risk” class, the other three classes differed significantly with respect to gender and prevalence of depression.Conclusions: Classifying college students based on features of problematic smartphone use is potentially useful for understanding risk factors and developing targeted prevention and intervention programs.