Heterogeneity of social participation in patients three months after total knee arthroplasty: a latent profile analysis.

BACKGROUND: Social participation is an important index of rehabilitation and social reintegration in patients after total knee arthroplasty (TKA). However, most existing studies focus on improving patients' functioning and activities, with only a few examining the social participation among patients after TKA. Therefore, the study aims to investigate the heterogeneity of social participation in patients three months after TKA and analyze subgroup influencing factors, to promote functional exercise and postoperative follow-up in specific patients. METHODS: This cross-sectional study recruited 255 patients who underwent TKA in a Tertiary Hospital in Jinan City, China, from March to July 2022. Three months after having undergone TKA, participants' data were collected using the Numeric Pain Rating Scale, the Chinese version of the Tampa Scale of Kinesiophobia, the 10-item Kessler Psychological Distress Scale, Hospital for Special Surgery Knee-rating Scale, and Impact on Participation and Autonomy Questionnaire. Latent profile analysis was used to identify categories of patients' social participation. Multiple logistic regression analysis was used to analyze the influencing factors of the different subgroups. RESULTS: Three months after TKA, the patients were divided into three subgroups: low social participation group (17.9%), moderate social participation group (40.8%), and high social participation group (41.3%). The vast majority of patients who underwent TKA exhibited moderate-to-high level of social participation. The multiple logistic regression analysis results showed that age, degree of pain, knee function, and kinesiophobia were the influencing factors of the potential profiles of social participation in patients three months after TKA (p < 0.05). CONCLUSION: These results support a distinct categorical feature of social participation among patients three months after undergoing TKA. Medical staff need to provide targeted guidance according to the potential classification characteristics of social participation to improve the level of social participation and promote rehabilitation of patients.

Latent profile analysis of nurses' moral courage: a professional values perspective.

INTRODUCTION: Nurses' moral courage (NMC) enhances care quality and patient safety. Nurses' professional values promote ethical adherence, moral obligation fulfillment, and compliance to prevent ethical violations. It is necessary to explore the current status and influencing factors of moral courage from the perspective of professional values. AIM: To investigate the current situation of nurses' moral courage, analyze the latent profiles of nurses' moral courage, and explore the influencing factors from the perspective of professional values. RESEARCH DESIGN: A cross-sectional design was employed. PARTICIPANTS AND RESEARCH CONTEXT: Data were collected through convenient sampling at a tertiary hospital during May 2023 in Wuhan, Hubei province, China. A self-designed web-based questionnaire consisting of demographic characteristics, the Chinese Nurses' Professional Values Scale-Revised Version (NPVS-R-CV) and the Nurses' Moral Courage Scale (NMCS) were used for the cross-sectional survey. Latent profile analysis was conducted using the results of 3 explicit indexes of NMCS, and multivariate logistic regression was used to analyze the influencing factors of NMC. ETHICAL CONSIDERATIONS: Research ethics approval (with the code of TJ- IRB 20220543) was obtained from Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology. FINDINGS: This study included 966 nurses, predominantly female and under 30 years old, with 91.10% holding a bachelor's degree. Latent profile analysis identified three moral courage profiles: low-level (31.5%), medium-level (47.2%), and high-level (21.3%). Multivariate logistic regression analysis showed significant positive correlations between professional values and moral courage, with head nurses being significantly more likely to exhibit high moral courage (OR = 3.586, p = 0.013). CONCLUSIONS: The moral courage of nurses can be classified into 3 subgroups. Nurses' professional values positively correlate with moral courage, with head nurses showing significantly higher levels of moral courage. Strengthening professional values through training can enhance ethical behavior in nursing, potentially improving patient care and safety.

Primary and Secondary Callous-Unemotional Childhood Variants in a Korean Community Sample.

Despite the growing support for the multiple developmental pathways to phenotypic callous-unemotional (CU) traits (i.e., primary, and secondary CU variants), there remains limited research on childhood manifestations of CU variants in non-Western, community samples. Using a latent profile analysis with data sourced from the longitudinal, nationwide Korean sample (N = 1597, 48.7% girls), we discerned heterogeneous groups of children, based on externalizing problems, CU traits, and emotional reactivity level. The optimal five-profile solution identified distinct subgroups: low-risk, primary CU (characterized by low emotional reactivity and externalizing problem), reactive (low CU/moderate emotion reactivity and externalizing problem), and two secondary CU groups (i.e., secondary-high CU and secondary-moderate CU; both high in emotional reactivity and externalizing problems). The two secondary CU variants demonstrated differences from the primary CU variants, in that both are high in preschool externalizing problems (age 6) and school-age conduct problems (age 11). However, the secondary-moderate CU group displayed greater levels of anxiety at age 11 compared to secondary-high CU, indicating divergent developmental trajectories of secondary CU variants. These findings expand our understanding of CU variants among Korean preschoolers and highlight the role of emotional reactivity in distinguishing such subtypes and identifying their developmental outcomes across time.

Variations in positive well-being as a function of the interaction between paranormal belief and schizotypy.

This study examined variations in positive well-being as a function of paranormal belief and schizotypy. A sample of 2,362 United Kingdom-based respondents completed self-report measures assessing paranormal belief, schizotypy, positive well-being (meaning in life, satisfaction with life, and self-esteem), paranormal experience, and belief in conspiracies. The paranormal belief was most strongly related to the cognitive-perceptual factor of schizotypy. Both paranormal belief and the cognitive-perceptual factor were associated with reporting paranormal experiences and endorsement of conspiracist beliefs. Despite commonality, paranormal belief and schizotypy were differentially related to well-being. Paranormal belief correlated positively with meaning in life (presence and search) and satisfaction with life. Schizotypy correlated negatively with presence, satisfaction with life, and self-esteem and positively with search. Latent profile analysis identified four subgroups: Profile 1, low belief and schizotypy (49% of the sample); Profile 2, low belief and cognitive-perceptual, moderate interpersonal and disorganised (13.6%); Profile 3, high belief, moderate cognitive-perceptual and interpersonal, low disorganised (24.3%); and Profile 4, high belief and schizotypy (13.1%). Multivariate analysis of variance (MANOVA) found that low belief with mixed schizotypy was associated with lower presence, and low belief and schizotypy (vs. high) were related to higher presence. Paranormal belief and schizotypy were associated with greater search, higher scores on paranormal experiential factors, and endorsement of generic conspiracist beliefs. Finally, lower belief and schizotypy were concomitant with higher satisfaction with life and self-esteem. Overall, paranormal belief was related to positive well-being, whereas schizotypy was associated with lower positive wellbeing.

Distinct characteristics of social anxiety among youths with childhood sexual abuse: A latent profile analysis.

BACKGROUND: Childhood sexual abuse (CSA) is one type of childhood trauma that has long-term effects on physical and mental health, predisposing to social anxiety. OBJECTIVE: This study attempted to investigate the characteristics of different subgroups of social anxiety among youths with CSA experiences. PARTICIPANTS AND SETTING: 83,219 participants were recruited in a cross-sectional study from 63 colleges and universities in Jilin Province, China. METHODS: The main variables were measured by a series of self-report questionnaires. Latent profile analysis was used to classify different subgroups of social anxiety, and multiple logistic regression was employed to investigate factors influencing transitions between different subgroups. RESULTS: 3022 (3.63 %) youths who suffered from CSA (46.8 % were male, Mage = 19.57, SD = 1.76) could be divided into four subgroups of social anxiety: low-risk social anxiety (16.4 %), medium-risk social anxiety with high public speaking anxiety (30.3 %), medium-risk social anxiety with no prominent characteristics (22.9 %), and high-risk social anxiety (30.4 %). Shy bladder and bowel and virtual life orientation increased the level of social anxiety from low to medium and high risk. Smoking and drinking were more prevalent in the low- and medium-risk subgroups than in the high-risk subgroup. CONCLUSIONS: There was heterogeneity in different subgroups of social anxiety among youths with CSA experiences. Potential targeted prevention and intervention suggestions could be beneficial in mitigating the risk of social anxiety and further preventing the aggravation of risk between subgroups.

Family management styles for children with asthma: A latent profile analysis.

AIM: To identify the latent profiles and predictors of family management styles for children with asthma. DESIGN: This is a secondary data analysis. The demographic data of 506 primary caregivers of children with asthma and their scores of the Family Management Scale in a cross-sectional study were used. Latent profile analysis and multiple logistic regression analyses were employed. RESULTS: Three family management styles were identified: Thriving (Profile 1), Accommodating (Profile 2), and Enduring (Profile 3) Family Management Style. The child's age, gender, mother's education level, family structure, influence of illness on parents' work and family life, whether they had follow-up plans and whether their parents had read disease and health knowledge pamphlets were found to be the predictors of different styles. CONCLUSION: Three distinct family management styles exist for children with asthma. Future interventions designed to enhance family management for children with asthma should be based on their demographic characteristics and family management styles. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: The precise classification of family management styles in this study can serve as a guide to form multi-disciplinary teams of physicians and nurses to provide individualized care and conduct in-depth research to explore the mechanisms of biomedicine and the social psychology of asthma in the future. IMPACT: This paper aims to identify the latent profiles and predictors of family management styles of children with asthma. Thriving, accommodating, and enduring family management styles were identified in this paper. Child's characteristics, family and organizational factors were the predictors of different family management styles. Findings of this paper provide guidance for physicians and nurses to offer individualized care and conduct in-depth research to explore the mechanisms of biomedicine and the social psychology of asthma in the future. REPORTING METHOD: The article was reported according to the STROBE Checklist. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

A latent profile analysis of rest-activity behavior patterns among community-dwelling older adults and its relationship with intrinsic capacity.

Rest-activity behavior clusters within individuals to form patterns are of significant importance to their intrinsic capacity (IC), yet they have rarely been studied. A total of 1253 community-dwelling older adults were recruited between July and December 2021 based on the baseline survey database of the Fujian Prospective Cohort Study on Aging. Latent profile analysis was used to identify profiles of participants based on rest-activity behaviors, whereas logistic regression analysis was carried out to investigate the relationship between profiles and IC. We identified three latent profiles including: (1) Profile 1-labeled "Gorillas": High physical activity (PA), moderate sedentary behaviors (SB), screen time (ST) and sleep (n = 154, 12%), (2) Profile 2-labeled as "Zebras": Moderate PA, low SB, ST and high sleep (n = 779, 62%), and (3) Profile 3-labeled as"Koalas": High SB, ST, low PA and sleep (n = 320, 26%). Logistic regression revealed a negative correlation between low IC and the "Gorillas" profile (ß = - 0.945, P < 0.001) as well as the "Zebras" profile (ß = - 0.693, P < 0.001) among community-dwelling older adults, with the "Koalas" profile showing the weakest IC compared to the other profiles. The demographic traits i.e., female, older age, living alone, and low educational level also correlated with low IC. Identifying trends of rest-activity behaviors may help in drawing focus on older adults at risk of decreasing IC, and develop personalized improvement plans for IC.

Influencing factors associated with mental workload among nurses: A latent profile analysis.

Objective: This study aimed to examine the latent profile of nurses' mental workload (MWL) and explore the influencing factors via a person-centred approach. Methods: From March to July 2023, a quantitative cross-sectional study was carried out to investigate 526 Chinese clinical nurses from five tertiary hospitals in Sichuan Province, China, by using demographic information, the Perceived Social Support Scale, Simplified Coping Skill Questionnaire, and NASA-Task Load Index. Latent profile analyses were performed using Mplus 7.3 software. Pearson's chi-squared and logistic regression analysis was done using SPSS 24.0 software. Results: Three profiles of mental workload were identified based on the nurses' responses to the mental workload assessment, designated as "low MWL-high self-rated (n = 70, 13.3%)", "moderate MWL (n = 273, 51.9%)", and "high MWL-low self-rated (n = 183, 34.8%)". Based on the analysis of the three subtypes, nurses with working years < 5 years (χ 2  = 12.135, P < 0.05), no children (χ 2  = 16.182, P < 0.01), monthly income < 6000 (χ 2  = 55.231, P < 0.001), poor health status (χ 2  = 39.658, P < 0.001), no psychological training in the past year (χ2 = 56.329, P < 0.001) and suffering from workplace violence (χ 2  = 19.803, P < 0.001) were significantly associated with MWL. Moreover, the multivariate logistic regression analysis showed that negative coping styles (OR = 1.146, 95% CI: 1.060-1.238, P = 0.001) were accompanied by higher MWL while negatively associated with perceived social support (OR = 0.927, 95% CI: 0.900-0.955, P < 0.001). Conclusion: Our results showed that the MWL of nurses could be classified into three subtypes. Monthly income, health status, psychological training, workplace violence, negative coping style, and perceived social support were the factors influencing MWL. Managers can employ personalised intervention strategies according to the individual characteristics of different subgroups to reduce nurses' MWL.

Relationship between maternal postpartum depression, fatigue, sleep quality and infant growth: A cross-sectional study.

BACKGROUND: Current research separately analyzed the connection between postpartum depression, fatigue, sleep and infant development. However, depression, fatigue and sleep quality often coexisted as adverse symptoms in postpartum women and influenced infant development together. This study explored the maternal postpartum symptoms on infant growth. METHODS: Our study included 224 pairs of singleton full-term mothers and their infants who underwent routine pediatric outpatient clinics. Latent profile analysis was applied to identify the latent classes based on mothers' postpartum depression, fatigue and sleep profile characteristics. We evaluated the maternal adverse symptoms and infant development using multivariable logistic regressions. RESULTS: Totally, 224 pairs of eligible mothers (28.85 ± 4.43 years) and infants (30.93 ± 3.26 days) participated in this study. Latent profile analysis identified 3 latent groups: mild (58.04%), moderate (34.37%), and severe (7.59%) postpartum adverse symptoms. Postpartum adverse symptoms were associated with delayed development in the baby's motor level (χ2 = 6.572, p = .037) and weight-for-length (χ2 = 9.652, p = .008). After controlling for mother and infant related factors, postpartum adverse symptoms remained a risk factor for infant motor level (odds ratio [OR]: 4.35; 95% confidence interval [CI]: 1.25-15.08) and weight-for-length (OR: 5.53; 95% CI: 1.55-19.74). CONCLUSIONS: Maternal postpartum depression, fatigue and sleep quality are associated with infant development. Clinically, mothers with these symptoms should be intervened timely to avoid the aggravation of maternal symptoms, which affect baby's development.

The Connection Between Dark Traits and Emotional Intelligence: A Multistudy Person-Centered Approach.

OBJECTIVE: Several studies have analyzed the relationship between Emotional Intelligence (EI) and dark personality, but the results are inconclusive. One study tested correlations between traits that may underlie a person-centered profile of "dark EI." Our study aimed to replicate and extend that research, identifying profiles in Spaniards and examining the differences between the profiles based on different variables of interest. METHOD: Two studies were designed, the first one (N = 1241) focused on trait EI and the Dark Triad, and the second one expanding the previous (N = 392) focusing on ability EI and the Dark Tetrad. RESULTS: Three profiles were obtained in both studies: nondark and non-EI profile, dark profile, and average narcissistic and high EI profile. The latter showed the highest self-esteem, strengths, well-being, and civic engagement, and the lowest psychological difficulties and personal distress. CONCLUSIONS: Our results reinforced the findings of the study we replicated, not supporting the presence of dark EI, but also not supporting the presence of high EI with very low levels of dark traits. These results have implications when designing preventive actions to improve emotional education.

Linking teacher support to achievement emotion profile: the mediating role of basic psychological need satisfaction.

The current study used a person-centered approach to explore the co-occurrence of college students' achievement emotions. It also examined the impact of teacher support on achievement emotion profiles and the mediating effect of need satisfaction. A total of 866 college students participated in the survey. A robust three-step latent profile analysis was employed to analyze the data. Four profiles of achievement emotions were identified: moderate mixed emotions, the blends of high positive emotions, the blends of moderate positive emotions, and high mixed emotions. Higher perceived teacher support was associated with a greater likelihood of being classified into the blends of moderate positive emotion profile or the blends of high positive emotion profile. Moreover, basic psychological need satisfaction mediated the relationship between teacher support and the four emotion profiles. Our findings contribute to a more comprehensive understanding of the role of teacher support in shaping achievement emotion profiles, helping to broaden the application of self-determination theory to explain the mechanism by which external support influences emotion profiles.

A Latent Profile Analysis of Emotion Regulation in Relation to Distress of Symptoms in Youth with Prodromal Psychotic Symptoms.

(1) Background: Although abnormal emotion regulation is a key characteristic of youth with prodromal psychotic symptoms and is closely related to the degree of distress caused by these symptoms, research on the internal heterogeneity of emotion regulation within this clinically high-risk population has been insufficient. (2) Methods: The current study analyzed data from 394 college students with prodromal psychotic symptoms, using latent profile analysis (LPA) to identify emotion regulation profiles based on differences in expressive suppression and cognitive reappraisal. One-way ANOVA was employed to examine the relationship between the identified latent profiles and distress of symptoms. (3) Results: Three latent profiles were identified: "high cognitive reappraisal group" (n = 117, 29.70%), "moderate cognitive reappraisal group" (n = 233, 59.14%), and "low cognitive reappraisal group" (n = 44, 11.16%). Significant differences in distress of negative symptoms (F = 9.122, p < 0.05) and perceptual abnormalities (F = 3.103, p < 0.05) were observed across the latent profiles but not in unusual thought content and specific perceptual abnormalities (both p > 0.05). The "low cognitive reappraisal group" exhibited the most severe distress of symptoms, followed by the "moderate cognitive reappraisal group", while the "high cognitive reappraisal group" experienced the least distress. (4) Conclusions: The current study provides evidence for the heterogeneity of emotion regulation among youth with prodromal psychotic symptoms and reveals differences in distress of perceptual abnormalities and negative symptoms between the latent profiles of emotion regulation. These findings support the development of targeted psychological interventions to alleviate the distress of symptoms and improve quality of life.

From Wasteland to Bloom: Exploring the Organizational Profiles of Occupational Health and Well-Being Strategies and Their Effects on Employees' Health and Well-Being.

Based on the signaling and conservation of resources theories, this study aims to identify different strategic organizational profiles related to occupational health and well-being (OHWB). Additionally, this study explores how these various organizational profiles impact employees' well-being, specifically in relation to absenteeism, emotional exhaustion, work overload, intention to quit, and job satisfaction. Data were collected from 59 organizations and 2828 employees. The first phase of this study presents the latent profile analysis carried out to identify OHWB organizational profiles. This analysis reveals four organizational profiles that are metaphorically named according to the growth stages of plants (i.e., wasteland, sprouting, budding, and blooming OHWB profiles). The second phase of this study investigates the associations between the latent profiles assigned to the organizations with absenteeism, intention to quit, emotional exhaustion, feelings of work overload, and job satisfaction among their employees using MANOVA. The results show that organizational profiles influence employees' health and well-being. Employees working in organizations with a low OHWB profile, known as the "wasteland profile", tend to report more days of absenteeism, higher levels of emotional exhaustion, greater work overload, and lower job satisfaction. Employees are also more likely to express a greater intention to quit their jobs than those working in organizations with a higher OHWB profile (a "blooming profile"). This study is useful for organizations and practitioners seeking to understand how investing in a health and well-being strategy can benefit their employees.

Digital phenotypes of real-time suicidal ideation: Correlates and consequences.

INTRODUCTION: Suicidal ideation variability refers to within-day fluctuations in suicidal ideation, and has recently been proposed as an indicator of suicide risk. However, not much is known yet about its correlates and clinical relevance. METHODS: We examined characteristics of real-time suicidal ideation using Ecological Momentary Assessment in 82 individuals with current active suicidal ideation. Data were collected four times daily over 21 days. Latent profile analysis was used to identify subtypes of suicidal ideation. We further examined sociodemographic and clinical correlates of the profiles, and their association with the occurrence of suicide attempts during a 1-year follow-up. RESULTS: We identified three "digital" phenotypes of suicidal ideation that differed on the frequency, intensity and variability of ideation. The profiles were: high frequency, high intensity, moderate variability (Phenotype 1), moderate/high frequency, moderate intensity, high variability (Phenotype 2), and moderate frequency, low intensity, low variability (Phenotype 3). Phenotypes 1 and 2 were associated with a worse clinical profile at baseline (higher suicidal ideation and depressive symptom severity), and increased odds of suicide attempt during follow-up, compared to Phenotype 3. Phenotype 1 was further characterized by repeated suicidal behavior. CONCLUSIONS: Two phenotypes of real-time suicidal ideation were identified that appear to confer a higher risk of suicidal behavior in the near future (12 months). These phenotypes were characterized by higher variability of suicidal ideation-and also higher intensity and frequency of ideation. Considering the small sample size, the clinical usefulness of the profiles remains to be demonstrated.

Profiles of well-being and their associations with self-forgiveness, forgiveness of others, and gratitude among patients with rheumatic and musculoskeletal diseases.

OBJECTIVES: Patients with rheumatic and musculoskeletal diseases (RMDs) often experience poor well-being. Common limitations of the studies on this topic involve using variable-centred and deficit-based approaches. In this study, we used the person-centred approach to identify profiles of positive (life satisfaction and health status) and negative (depression, anxiety, fatigue, and stress) indicators of well-being among patients with RMDs. Moreover, we tested self-forgiveness, forgiveness of others, gratitude, and sociodemographics as contributors to latent profile membership. DESIGN: A cross-sectional questionnaire survey. METHODS: Using a latent profile analysis, we investigated well-being profiles among 892 patients with RMDs (759 patients with arthritis and 133 with fibromyalgia [FM]) and examined the correlates of latent profile membership. RESULTS: We identified four profiles of well-being: (1) 'life dissatisfaction' (9.2%), (2) 'high well-being' (43.4%), (3) 'suboptimal well-being' (35.2%), and (4) 'very poor well-being' (12.2%). Members of Profile 2 had higher levels of self-forgiveness and gratitude than members of the remaining profiles, had higher levels of forgiveness of others than Profile 3, and were older than members of Profile 4. Moreover, members of Profile 2 had a higher proportion of patients with arthritis relative to those with FM than all other profiles and men to women than Profile 4. CONCLUSIONS: Patients with RMDs are heterogeneous in terms of well-being. Self-forgiveness, gratitude, and forgiveness of others may serve as psychological capital that enhances patients' well-being. Special attention should be paid to patients with FM, women, and younger patients since they can be especially susceptible to poor well-being.

Subtyping of Performance Trajectory During Medical School, Medical Internship, and the First Year of Residency in Training Physicians: A Longitudinal Cohort Study.

BACKGROUND: Developmental trajectories of clinical skills in training physicians vary among tasks and show interindividual differences. This study examined the predictors of medical internship performance and residency entrance and found subtypes of performance trajectory in training physicians. METHODS: This retrospective cohort study involved 888 training physicians who completed a medical internship between 2015 and 2019. After the internship, 627 physicians applied for residency training between 2016 and 2020. Finally, 160 of them completed their first-year residency in internal medicine, surgery, pediatrics, and psychiatry departments between 2016 and 2020. Pearson's correlation coefficients of internship performance and first year-residency performance (n = 160) were calculated. Latent profile analysis identified performance trajectory subtypes according to medical school grade point average (GPA), internship performance, English proficiency, and residency selection procedures. Multivariate logistic regression models of residency acceptance (n = 627) and performance in the top 30%/lower 10% in the first year of residency were also constructed. RESULTS: Medical internship performance showed a significant positive correlation with the medical school GPA (r = 0.194) and the written score for the medical licensing examination (r = 0.125). Higher scores in the interview (adjusted odds ratio [aOR], 2.57) and written examination (aOR, 1.45) of residency selection procedures and higher medical internship performance (aOR, 1.19) were associated with a higher chance of residency acceptance. The latent profile analyses identified three training physician subgroups: average performance, consistently high performance (top 30%), and adaptation to changes (lowest 10%). Higher scores in the interview for residency selection (aOR, 1.35) and lower scores for medical internship performance (aOR, 0.79) were associated with a higher chance of performing in the top 30% or lowest 10% in the first year of residency, respectively. CONCLUSION: Performance in the interview and medical internship predicted being among the top 30% and lowest 10% of performers in the first year of residency training, respectively. Individualized educational programs to enhance the prospect of trainees becoming high-functioning physicians are needed.

Problematic internet use profiles and their associated factors among adolescents.

The cognitive-behavioral model of generalized Problematic Internet Use (PIU) is the theoretical approach that has obtained the most evidence on the study of this problem, which includes four components: Online Social Preference, Mood Regulation, Deficient Self-Regulation, and Negative Outcomes. This study aimed to identify PIU profiles using Latent Profile Analysis, and to analyze the differences in them attending to some of the principal PIU risk and protective factors. A total of 675 Spanish adolescents completed questionnaires assessing PIU, Internet usage, mental health problems, personality, psychological strengths, and family relationships. Four profiles were obtained: Nonproblematic use (68.30% of the sample), Slightly problematic use (17.90% of the sample), Problematic use (8.50% of the sample), and Severe problematic use (5.40% of the sample). Results showed differences between them, with the profile with more PIU having more risk factors and less protective factors. Results showed that many different personal and social variables included in the study play a role in PIU. Knowing the different PIU profiles can help in the design of more specific and precise procedures and instruments for risk assessment, as well as aiding in prevention and in the design of more individualized treatments.

Individual differences in the impostor phenomenon and its relevance in higher education in terms of burnout, generalized anxiety, and fear of failure.

Few theoretical and empirical works have described impostor phenomenon (IP) and no study explored impostorism from a dark perspective. We adopted a person-centered approach to identify clusters of impostors based on scores on the IP, perfectionistic self-presentation and the Dark Triad using a sample of 306 university students (Mage = 22.82). The latent profile analysis suggested a 6-cluster solution, which was further compared in terms of psychopathology symptoms (i.e., burnout, generalized anxiety, and fear of failure) by means of (M)ANOVAs. Our results indicated that impostorism relies on a self-presentation strategy. Moreover, individuals scoring high on IP experienced enhanced levels of psychopathology symptoms. Looking at IP from a continuum perspective might improve our understanding about what makes someone suffer from impostorism.

Personality profiles and physical activity across adolescent: Based on latent profile analysis.

PURPOSE: Adolescent behavior is closely linked to personality, a key predictor of physical activity. Due to inconsistent findings on how personality dimensions influence physical activity, focusing on combinations of personality traits is more valuable for theoretical and practical guidance. This study aims to examine potential categories of adolescent personality and their relationship with physical activity. METHODS: Using data from the 2014-2015 China Education Panel Survey (CEPS), 9212 adolescents reported their "Big Five" personality and physical activity levels after excluding samples with missing core values. Latent profile analysis with Mplus 8.3 determined the optimal model by comparing model fits to categorize personality types. Bolck-Croon-Hagenaars (BHC) analysis was used to compared physical activity across personality profiles based on the resulting class differences and its significance. RESULTS: Latent profile analysis identified five personality trait types among adolescents based on fit indices such as AIC, BIC, aBIC, and Entropy: Low-control conservative group (5.0 %), Balanced development group (45.1 %), Optimistic action group (40.4 %), Independent avoidant group (4.5 %), and Introverted vulnerable group 5.0 %). Significant differences in physical activity were found among these profiles (p < 0.001), with individuals in the Optimistic action group tending to be more physically active and those in the Independent avoidance group being less physically active. CONCLUSION: Adolescent personality can be classified into five categories, and different combinations of personality traits can predict physical activity. The findings help identify adolescents who lack physical activity based on their personality profiles, allowing for the design of targeted psychological interventions to promote exercise motivation and foster healthy exercise habits. However, the study has limitations include a narrow age range and a single evaluation method. Future research could incorporate diverse evaluation methods and long-term tracking.

Stress and Sleep Duration in Immune and Neuroendocrine Patterning. An Analytical Triangulation in ELSA.

Background: Proinflammatory and neuroendocrine mediators are implicated in disease aetiopathogenesis. Stress increases concentrations of immune-neuroendocrine biomarkers through a complex network of brain-body signalling pathways. Suboptimal sleep further modulates these processes by altering major effector systems that sensitise the brain to stress. Given the ubiquitous, impactful nature of material deprivation, we tested for a synergistic association of financial stress and suboptimal sleep with these molecular processes. Methods: With data drawn from the English Longitudinal Study of Ageing (ELSA), associations were tested on 4,940 participants (~66±9.4 years) across four-years (2008-2012). Through analytical triangulation, we tested whether financial stress (>60% insufficient resources) and suboptimal sleep (≤5/≥9 hours) were independently and interactively associated with immune-neuroendocrine profiles, derived from a latent profile analysis (LPA) of C-reactive protein, fibrinogen, white blood cell counts, hair cortisol, and insulin-like growth factor-1. Results: A three-class LPA model offered the greatest parsimony. After adjustment for genetic predisposition, sociodemographics, lifestyle, and health, financial stress was associated with short-sleep cross-sectionally (RRR=1.45; 95%CI=1.18-1.79; p<0.001) and longitudinally (RRR=1.31; 95%CI=1.02-1.68; p=0.035), and it increased risk of belonging to the high-risk biomarker profile by 42% (95%CI=1.12-1.80; p=0.004). Suboptimal sleep was not related to future risk of high-risk profile membership, nor did it moderate financial stress-biomarker profile associations. Discussion: Results advance psychoneuroimmunological knowledge by revealing how immune-neuroendocrine markers cluster in older cohorts and respond to financial stress over time. Financial stress associations with short-sleep are supported. The null role of suboptimal sleep, as exposure and mediator, in profile membership, provides valuable insight into the dynamic role of sleep in immune-neuroendocrine processes.