Adult attachment and dehumanization among Chinese college students: trait attachment and state attachment perspectives.

Introduction: Current social issues such as bullying, online violence, and local conflicts are all prominent topics in the field of psychology and linked to dehumanization. However, research on dehumanization from a non-Western background has been rare. As a key factor influencing individual behavior, attachment has not been sufficiently integrated into studies on dehumanization. Therefore, this study provides empirical evidence to explore the relationship between adult attachment (both trait and state) and dehumanization. The sample consisted of college students from China. Methods: In Study 1 (N = 705) latent profile analysis was employed to exploring the potential categories of trait adult attachment in China, and to investigate how these categories impact dehumanization. Study 2 (N = 281) focused on activating secure attachment and examined the effects of three state attachment types, security, avoidance and anxiety, on dehumanization. Results: Study 1 identified four types of adult attachment: preoccupied, secure, fearful, and dismissing, and revealed that these different attachment types have varying impacts on dehumanization. Study 2 showed that both security and avoidance predict dehumanization. Discussion: This research established a link between adult attachment and dehumanization, offering new insights into the psychological mechanisms underlying dehumanization and suggesting novel strategies for its prevention and intervention.

Artificial intelligence driven definition of food preference endotypes in UK Biobank volunteers is associated with distinctive health outcomes and blood based metabolomic and proteomic profiles.

BACKGROUND: Specific food preferences can determine an individual's dietary patterns and therefore, may be associated with certain health risks and benefits. METHODS: Using food preference questionnaire (FPQ) data from a subset comprising over 180,000 UK Biobank participants, we employed Latent Profile Analysis (LPA) approach to identify the main patterns or profiles among participants. blood biochemistry across groups/profiles was compared using the non-parametric Kruskal-Wallis test. We applied the Limma algorithm for differential abundance analysis on 168 metabolites and 2923 proteins, and utilized the Database for Annotation, Visualization and Integrated Discovery (DAVID) to identify enriched biological processes and pathways. Relative risks (RR) were calculated for chronic diseases and mental conditions per group, adjusting for sociodemographic factors. RESULTS: Based on their food preferences, three profiles were termed: the putative Health-conscious group (low preference for animal-based or sweet foods, and high preference for vegetables and fruits), the Omnivore group (high preference for all foods), and the putative Sweet-tooth group (high preference for sweet foods and sweetened beverages). The Health-conscious group exhibited lower risk of heart failure (RR = 0.86, 95%CI 0.79-0.93) and chronic kidney disease (RR = 0.69, 95%CI 0.65-0.74) compared to the two other groups. The Sweet-tooth group had greater risk of depression (RR = 1.27, 95%CI 1.21-1.34), diabetes (RR = 1.15, 95%CI 1.01-1.31), and stroke (RR = 1.22, 95%CI 1.15-1.31) compared to the other two groups. Cancer (overall) relative risk showed little difference across the Health-conscious, Omnivore, and Sweet-tooth groups with RR of 0.98 (95%CI 0.96-1.01), 1.00 (95%CI 0.98-1.03), and 1.01 (95%CI 0.98-1.04), respectively. The Health-conscious group was associated with lower levels of inflammatory biomarkers (e.g., C-reactive Protein) which are also known to be elevated in those with common metabolic diseases (e.g., cardiovascular disease). Other markers modulated in the Health-conscious group, ketone bodies, insulin-like growth factor-binding protein (IGFBP), and Growth Hormone 1 were more abundant, while leptin was less abundant. Further, the IGFBP pathway, which influences IGF1 activity, may be significantly enhanced by dietary choices. CONCLUSIONS: These observations align with previous findings from studies focusing on weight loss interventions, which include a reduction in leptin levels. Overall, the Health-conscious group, with preference to healthier food options, has better health outcomes, compared to Sweet-tooth and Omnivore groups.

Patterns of dietary quality, physical activity, and sleep duration among cancer survivors and caregivers.

Fruit and vegetable intake (FVI), moderate-to-vigorous physical activity (MVPA), and sleep duration are each independently associated with cancer-related and general health outcomes among cancer survivors. Past research suggests that health behaviors cluster among cancer survivors, with caregivers demonstrating similar patterns. This analysis examined co-occurrence of FVI, MVPA, and sleep duration among cancer survivors and informal cancer caregivers and identified sociodemographic and clinical correlates of health behavior engagement. Using data from the Health Information National Trends Survey (HINTS), an exploratory latent profile analysis (LPA) was conducted among those self-reporting a history of cancer or identifying as a cancer caregiver. The LPA model was fit with daily self-reported FVI (cups/d), MPVA (minutes/d) and sleep duration (hours/d). Multinomial logistic regression models were used to predict profile membership based on sociodemographic and clinical characteristics. Four health behavior profiles were identified (Least Engaged-No MVPA, Least Engaged-Low MVPA, Moderately Engaged, and Highly Engaged). The largest profile membership was Least Engaged-No MVPA, capturing 37% of the sample. Profiles were most distinguished by MVPA, with the lowest variance in sleep duration. Participants reporting higher FVI also often reported greater MVPA and longer sleep duration. Profile membership was significantly associated with age, relationship status, education, income, rurality, alcohol use, self-efficacy, psychological distress, BMI, and cancer type. This study identified four health behaviors patterns and sociodemographic correlates that distinguished those patterns among cancer survivors and caregivers drawn from a nationally representative sample. Results may help identify for whom health behavior interventions could be of greatest benefit.

Latent profiles of multi-dimensional sleep characteristics and association with overweight/obesity in Chinese preschool children.

OBJECTIVES: To examine the association between latent profiles of multi-dimensional sleep characteristics and overweight/obesity (OWO) in Chinese preschool children. STUDY DESIGN: The cross-sectional analysis included 3204 preschool children recruited from 24 kindergartens in Shanghai. Parents reported children's demographics and sleep characteristics, including sleep duration, timing and disturbances. Latent profile analysis (LPA) was used to identify sleep subtypes. Logistic regression models were used to evaluate the associations between sleep characteristics/subtypes and OWO. RESULTS: Short sleep duration, late bedtime, long social jetlag and sleep disturbances were significantly associated with increased OWO. However, when considering the interplay of sleep duration and timing, there was no significant association between sleep duration and OWO for children sleeping later than 22:00. Three sleep subtypes were identified based on children's sleep duration, timing and disturbances: "Average Sleepers" (n = 2107, 65.8 %), "Good Sleepers" (n = 481, 15.0 %), and "Poor Sleepers" (n = 616, 19.2 %). "Good Sleepers" had reduced odds of being OWO (AOR, 0.72; 95 % CI, 0.56-0.93) compared to "Average Sleepers", while "Poor Sleepers" showed an increased risk of OWO (AOR, 1.36; 95 % CI, 1.11-1.67). CONCLUSIONS: These findings highlight that improving multiple sleep characteristics simultaneously is a promising option to prevent and intervene childhood obesity.

Profiles of teachers' emotional labour during COVID-19 and the consequences on mental health: A comparison between online and offline teaching.

BACKGROUND: Despite increasing attention on emotional labor in teacher well-being research, person-centered studies are relatively scarce, particularly concerning the emotional labor of online teaching during COVID-19 and its effects on teachers' non-work-related mental health. OBJECTIVE: This study aims to address these gaps by examining emotional labor profiles and their consequences on job satisfaction, depression, and anxiety among Chinese teachers involved in either online or offline teaching during October-December 2022. METHODS: Two samples of teachers were analyzed altogether: one engaged in online teaching (N=605) and the other in offline teaching (N=394). Latent profile analysis was used to identify emotional labor profiles based on three strategies: surface acting, deep acting, and expression of naturally felt emotions. RESULTS: A total of four subgroups of emotional workers were identified: natural expressors, actors, flexible regulators, and authentic regulators. Significant differences were found between online and offline teaching, with a higher proportion of actors and fewer flexible regulators in the online condition, suggesting that the screen acts as a barrier to authentic emotional display. Among the four classes, actors scored lowest on job satisfaction and highest on depression and anxiety, whereas authentic regulators were the most adaptive, especially in online settings. CONCLUSIONS: The findings highlight the impact of online teaching on teachers' emotional labor profiles and mental health, with practical implications for optimizing online teaching environments and supporting teacher well-being.

Exploring heterogeneity in recovery from substance use disorder following mindfulness-based relapse prevention: A latent profile analysis.

INTRODUCTION: Substance use disorder (SUD) recovery is heterogeneous. Yet, over the last 50 years, substance use treatment providers and researchers have often defined success as sustained abstinence from substance use. An often overlooked but equally valid pathway to recovery for persons with SUD is non-abstinent recovery. However, most of the literature on non-abstinent recovery exists for individuals with alcohol use disorder (AUD) with few studies of non-abstinent recovery for other types of SUD. Literature exploring the mechanisms that lead to non-abstinent recovery is also lacking. As such, the current study aimed to examine recovery profiles for individuals (N = 454) recruited in two randomized clinical trials comparing mindfulness-based relapse prevention with cognitive-behavioral relapse prevention and/or treatment as usual. METHODS: Latent profile analysis empirically derived profiles of recovery following outpatient aftercare SUD treatment. Multinomial logistic regression examined associations between treatment assignment and recovery profile, including potential psychological mediators (e.g., mindfulness) and contextual moderators (e.g., annual household income). RESULTS: Analyses supported four recovery profiles: (1) low-functioning frequent substance use; (2) low-functioning infrequent substance use; (3) high-functioning frequent substance use; (4) high-functioning infrequent substance use. There were no significant interaction effects of race or ethnicity by treatment type, or household income by treatment type, in predicting recovery profiles. Trait mindfulness, craving, and psychological flexibility failed to mediate the association between treatment assignment and recovery profile; however, there were statistically significant differences in trait mindfulness with individuals expected to be classified in the low-functioning infrequent substance use profile showing significantly lower levels of trait mindfulness compared to individuals in the two high-functioning profiles. CONCLUSIONS: Findings suggest that recovery from SUD is heterogeneous, and profiles of recovery based on dimensions of substance use and functioning can be identified across a variety of SUD, including among people with co-occurring SUD. Additionally, trait mindfulness appears to be a differentiating factor across recovery profiles. Further research is needed to explore how psychological and social factors may moderate and influence both abstinent and non-abstinent forms of recovery.

Adolescents' offline and online social support: A study on latent groups and their relationship with mental health.

INTRODUCTION: The internet has become a common space for adolescents to connect with others and find information. However, it remains unclear whether online encounters can serve as new sources of social support for Chinese adolescents. The present study aimed to identify distinct patterns in Chinese adolescents' social support from both offline and online sources and to examine how these patterns relate to individual and family factors and adolescents' mental health conditions. METHODS: Data were obtained from a cross-sectional survey of 1031 Chinese adolescents (47.1% female, mean age = 13.67) in Foshan, Guangdong province. Latent profile analysis was performed with Mplus. Associations between the identified classes and auxiliary variables were examined with the "R3STEP" procedure and the DCON command in Mplus. RESULTS: We identified four groups. Three groups showed consistent patterns in terms of receiving social support from offline and online sources, namely, the high support group (24.8%), moderate support group (43.8%), and low support group (15.3%), respectively. The fourth group received a moderate level of offline but low level of online support (16%), named the moderate offline-low online support group. The groups differed in individual and family characteristics. Higher support was associated with higher life satisfaction, lower depression, and social anxiety, but also higher problematic internet use. Overall, the moderate offline-low online support group showed better mental health than the other groups. CONCLUSIONS: Our study extends social support research by revealing heterogeneity in adolescents' social support patterns. The findings encourage a balanced use of offline and online support.

Pre-hospital delay intention and its associated factors in the high-risk population of stroke: A latent profile analysis.

AIM: To explore the possible latent classifications of pre-hospital delayed intention at high risk of stroke and to analyze the characteristics of different profiles. METHODS AND RESULTS: A cross-sectional study was conducted in one community in Shanghai, China. 470 individuals at high risk of stroke were recruited, and self-reported questionnaires (including socio-demographic, stroke knowledge, health belief, and pre-hospital delay behavior intention scale) were distributed between April and June 2023. A latent profile analysis was employed to identify the delay intention clusters, and multinomial logistic regression was utilized to ascertain the factors influencing the latent classes of delay intention. 457 high-risk populations with a response rate of 97.23% were finally enrolled in this study. Four distinct classes were identified: High warning signs-Low delay intention (26.3%), Low warning signs-Low delay intention (17.7%), moderate level of delay intention (37.3%), and high level of delay intention (18.7%). The influencing factors included stroke knowledge, health belief, age, education background, the nearest distance to the medical institution, and household income. CONCLUSION: The pre-hospital delay intention among high-risk populations of stroke was classified into four distinct classes. It is crucial for individuals at high risk to remain vigilant towards stroke symptoms and to take prompt action. Health promotion education may be explored as a strategy to bridge the gap between the recognition of stroke symptoms and the low pre-hospital delay intention.

Autism Spectrum Disorder Symptom Profiles in Fragile X Syndrome, Angelman Syndrome, Tuberous Sclerosis Complex and Neurofibromatosis Type 1.

Studying Autism Spectrum Disorder (ASD) heterogeneity in biologically homogeneous samples may increase our knowledge of ASD etiology. Fragile X syndrome (FXS), Angelman syndrome (AS), Tuberous Sclerosis Complex (TSC), and Neurofibromatosis type 1 (NF1) are monogenic disorders with high a prevalence of ASD symptomatology. This study aimed to identify ASD symptom profiles in a large group of children and adolescents (0;9-28 years) with FXS, AS, TSC, and NF1. Data on ASD symptomatology (Autism Diagnostic Observation Scale (ADOS-2) & Social Responsiveness Scale (SRS-2)) were collected from children and adolescents with FXS (n = 54), AS (n = 93), TSC (n = 112), and NF1 (n = 278). To identify groups of individuals with similar ASD profiles, we performed two latent profile analyses. We identified a four-profile model based on the ADOS-2, with a (1) 'Non-spectrum symptom profile', (2) 'Social Affect symptom profile', (3)'Restricted/Repetitive Behaviors symptom profile', and (4)'ASD symptom profile'. We also identified a four-profile model based on the SRS, with a (1)'Non-clinical symptom profile', (2)'Mild symptom profile', (3)'Moderate symptom profile', and (4)'Severe symptom profile'. Although each syndrome group exhibited varying degrees of severity, they also displayed heterogeneity in the profiles in which they were classified. We found distinct ASD symptom profiles in a population consisting of children and adolescents with FXS, AS, TSC, and NF1. Our study highlights the importance of a personalized approach to the identification and management of ASD symptoms in rare genetic syndromes. Future studies should aim to include more domains of functioning and investigate the stability of latent profiles over time.

Psychological profiles in patients receiving maintenance dialysis: Classification, correlates, and behavioral health outcomes.

This study identified psychological profiles based on depressive symptoms, anxiety symptoms, positive affect, and posttraumatic growth in 298 patients receiving maintenance dialysis, and examined their relationships with self-management at baseline and 1-year follow-up. Five psychological response profiles were identified: well-being (42.95%), resilient (26.17%), moderate-distress-with-growth (17.79%), distressed (11.07%), and high-distress-with-growth (2.01%). Patients were more likely to be in the distressed profile if they were younger, had less social support, received peritoneal dialysis, and suffered from a greater symptom burden of kidney disease. The well-being profile showed better self-management behavior at baseline and 1-year follow-up. The distressed profile was associated with worse self-management at baseline and the resilient profile was associated with worse self-management at follow-up. The findings highlighted the beneficial role of positive psychological constructs in promoting self-management behavior, which implied that beyond eliminating psychological distress, it is important to facilitate positive psychological well-being.

A latent profile analysis of relationship satisfaction and self-regulation among low-income participants who attended relationship education with a partner.

Relationship education has shown promising effects for low-income couples on outcomes such as promoting positive communication, improving global relationship satisfaction, parenting, and individual psychological distress. Studies also indicate that couples' baseline distress (e.g., relational and individual) moderates outcomes. Yet, few studies implemented a person-centered approach to analyzing data for those who participate in relationship education. In a sample of 488 low-income opposite-gendered couples, we identified latent profile groups for men and women based on self-reported relationship satisfaction and behavioral self-regulation scores, thus incorporating both relational and individual factors. Results yielded a three-class solution for men and a four-class solution for women. We then examined group profile differences in individual psychological distress and relationship satisfaction change scores after completing the relationship education intervention (12 h of PREP's Within Our Reach). Results indicated significant differences, suggesting that group membership can predict overall improvements in both psychological and relationship distress. Thus, RE programmers and policymakers may consider flexible delivery (e.g., more or less content; more or less intense coaching) that considers overall baseline relational and/or individual functioning as opposed to a one-size-fits-all method.

Subtypes of Job Satisfaction and Health-Related Quality of Life in Chinese Male Nurses: A Latent Profile Analysis.

In this cross-sectional study, we aimed to identify subgroups of job satisfaction and health-related quality of life (HRQoL) in Chinese male nurses and examine the factors associated with subgroup profiles. A convenience sample of 626 Chinese male nurses were enrolled from January to October 2021. Latent profile analysis was performed to identify profiles based on self-esteem, psychological resilience, social support, neuroticism, perceived prejudice, occupational stress, job satisfaction, and HRQoL. Chi-squared tests were used to examine predictors of profiles. Results indicated that a three-profile model provided the best fit: low job satisfaction and health (9.90%), moderate job satisfaction and health (64.06%), and high job satisfaction and health (26.04%). The average number of monthly night shifts was negatively correlated with the male nurses' subgroups. Psychological resilience, social support, and neuroticism were the key factors associated with the HRQoL of male nurses, while perceived prejudice, occupational stress, and self-esteem were the key factors associated with job satisfaction. Nurse administrators could improve their job satisfaction and health by reducing perceived prejudice, and job stress, increasing organizational support and resilience.

Latent Profiles of Fear of Cancer Recurrence in Breast Cancer Patients of Reproductive Age and Associations With Reproductive Concerns.

AIM: To identify distinct profiles of fear of cancer recurrence (FCR) among breast cancer patients of reproductive age, investigate the relationship between these profiles and reproductive concerns and explore potential risk factors encompassing sociodemographic, clinical and reproductive characteristics. DESIGN: A cross-sectional study was conducted from January 2022 to September 2022. METHODS: A convenience sample of 210 reproductive-aged breast cancer patients completed a questionnaire that included a general information section, the Fear of Progression Questionnaire-Short Form (FoP-Q-SF) and the Reproductive Concerns After Cancer Scale (RCAC). Latent profile analysis was conducted using the scores of the 12 items from the FoP-Q-SF as explicit variables, while univariate and multiple logistic regression analyses were employed for statistical analysis. RESULTS: Three latent variables were identified: low FCR-stable group (27.6%), moderate FCR-uneasy group (17.2%) and high FCR-intense group (55.2%). This study found that FCR was predicted by age, education level, cancer stage, chemotherapy and fertility intention. Furthermore, patients with heightened reproductive concerns exhibited a higher likelihood of belonging to the high FCR-intense group. CONCLUSION: These findings indicate that FCR varies among breast cancer patients of reproductive age and demonstrates individual differences. IMPLICATION: Early identification of FCR patterns in patients is crucial for medical professionals, with particular attention given to those in the high-intensity FCR group. Tailored prevention and care strategies should be implemented based on the unique characteristics and influencing factors associated with different potential categories of FCR among patients of childbearing age with breast cancer. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Latent profile analysis of family adaptation in breast cancer patients-cross-sectional study.

When individuals face life pressure or significant family changes, individuals with better family adaptation can better survive the crisis. Although the influencing factors of family adaptation have been investigated, the application of potential profile analysis has yet to be found. This analytical approach can reveal different potential categories of family adaptation, providing new perspectives for theoretical development and interventions. This study used latent profile analysis to explore family adaptation levels in breast cancer patients and identify different latent categories, examining their characteristic differences. A cross-sectional study was conducted in Jinzhou, China, from July 2023 to March 2024. The questionnaire included Sociodemographic and clinical characteristics, Benefit Finding Scale (BFS), Dyadic Coping Scale (DCI), Chinese Perceived Stress Scales (PSS), and Family adaptability and cohesion evaluation scales (FACES). Mplus8.3 and SPSS26.0 software were used for data analysis. The latent profile analysis (LPA) method was used to fit the family adaptations of breast cancer patients. Three latent categories of family adaptation were identified: low-level family adaptation (21.5%), medium level family adaptation (47.8%), and high-level family adaptation (30.6%). All 14 items with high levels of family adaptation scored higher than the other two groups. In particular, out of all the categories, item 9, "The idea of educating children is sound," scored highest. Compared with the low-level group, the influential factors of family adaptation in the high-level group were BFS, DCI, PSS, relapse and personal monthly income; The factors influencing family adaptation at the middle level are DCI, BFS, breast cancer type, family history of breast cancer, and personal monthly income. Compared with the medium level group, PSS and DCI were the influential factors of family adaptation in the high-level group. Family adaptation in breast cancer patients can be divided into three categories: low-level, medium-level, and high-level. There were significant differences among different categories of family adaptation levels in "personal monthly income", "family history of breast cancer", "type of breast cancer", "recurrence", "dyadic coping", "benefit finding", and "perception stress".

Psychosocial impact of dental aesthetics in adolescent : an evaluation of a latent profile and its associated risk factors.

BACKGROUND: The psychosocial impact of dental aesthetics (PIDA) has a significant effect on well-being and quality of life. This study aimed to explore the latent heterogeneous classes of the PIDA among adolescents and investigate the relationships among identified subtypes and sociodemographic variables, the status of left-behind children, and the clinical manifestations of malocclusion. METHODS: A cross-sectional study on the PIDA among 1451 adolescents aged 11 to 12 years in elementary schools in a rural area in Guangxi, China, was conducted. The PIDA on adolescents was also investigated via latent profile analysis; each predictor was tested via ordinal logistic regression. RESULTS: Three latent classes for the PIDA were identified: low-risk (48.2%), medium-risk (39.8%), and high-risk (11.9%) groups. There were significant differences among the three latent classes. The results revealed that being female, The duration of maternal employment outside the hometown, the largest anterior maxillary irregularity, the largest anterior mandibular irregularity, and the antero-posterior molar relationship (ORs of 1.737, 1.138, 1.117, 1.157, and OR = 1.242; P < 0.001, < 0.01, < 0.01, < 0.01 and < 0.05, respectively) had significant effects on the PIDA on adolescents. CONCLUSIONS: The occlusal features, being female and the duration of maternal employment outside the hometown are risk factors that influence the PIDA on adolescents. This provides an evidence for improving the PIDA status among rural adolescents.

Longitudinal relationship between pre-exposure prophylaxis motivation and change in adherence among men who have sex with men in Western China.

INTRODUCTION: The efficacy of pre-exposure prophylaxis (PrEP) is highly dependent on adherence, and adherence behavior is influenced by motivation. The aim of this study was to explore the longitudinal relationship between PrEP motivation and change in adherence among men who have sex with men (MSM) in Western China. METHODS: From November 2019 to June 2021, we conducted a PrEP prospective cohort study. Motivation to take medicine was measured by the PrEP Motivation Scale at baseline, and was grouped into different levels of latent categories by Latent Profile Analysis (LPA). A multinomial logistic regression model was used to explore the longitudinal relationship between change in adherence (improvement, decline, no change) and different levels of PrEP motivation. RESULTS: MSM were divided into two categories of PrEP motivation, a "high motivation group" (n = 506, 69.89%) and a "low motivation group" (n = 218, 30.11%). High PrEP motivation had no significant effect on the change in short-term adherence, however, it contributed to the improvement in long-term adherence [odds ratio (OR) = 3.028 (1.100-8.332), p = 0.031]. The predictive power of the adherence model was significantly enhanced with the addition of the PrEP motivation factor. CONCLUSIONS: There was a positive correlation between high PrEP motivation at baseline and an improvement in long-term adherence. Surveillance and intervention of PrEP motivation in MSM can increase their adherence, and then promote PrEP efficacy.

Meaning in life of elite athletes: A person-oriented study.

People's subjective sense of meaning in life is a flourishing research topic in psychology but remains underexplored in sport psychology. This study uses a person-oriented method to shed light on meaning in the lives of elite athletes (i.e., latent profile analysis) to identify distinct profiles of sources of meaning in life, and compare the extent to which these profiles differ in relation to athletic identity, life satisfaction, and self-esteem. A sample of 593 Swiss elite athletes (50.4% women, 49.6% men; Mage = 24.78 years, SD = 4.93) participated in the study. The Meaning and Purpose Scales (MAPS) were used to assess athletes' perceptions of meaningfulness, crisis of meaning, and sources of meaning. Athletes demonstrated higher overall meaningfulness, lower crisis of meaning, and prioritized different sources of meaning compared to the general population. Latent profile analysis revealed three distinct meaning profiles: (1) athletes with multiple meanings (n = 351), (2) athletes with low meaning (n = 126), and (3) faith-based athletes (n = 110). Notably, the athletes in the first and last profile exhibited higher life satisfaction and self-esteem. The identified profiles demonstrate that athletes differ both in the degree and the types of meaning in life. The findings align with studies outside of sport that suggest that meaning in life, in addition to being an end-value in itself, is also related to enhanced life satisfaction and self-esteem. Personalized meaning-focused interventions can be valuable for applied practice with elite athletes.

Social Anxiety Profiles and Psychopathological Symptom Differences in Spanish Adolescents.

Research on social anxiety (SA) over the years has revealed its associations with different psychopathological symptoms. This study aims to characterize SA profiles in a sample of Spanish adolescents and explore their differences in psychopathological symptoms. Data from 1,288 Spanish students in the 15 to 18 age range (M = 16.30, SD = 0.97, 47.5% female) were collected using random cluster sampling. The Social Anxiety Scale for Adolescents (SAS-A) and the Symptom Assessment-45 Questionnaire (SA-45) were employed. Four SA profiles were revealed by the Latent Profile Analysis (LPA): extreme SA, high SA, moderate SA, and low SA. Statistically significant differences in psychopathological symptoms were revealed by the MANOVA (effect sizes from d = -2.13 to d = -0.37). The extreme SA profile exhibited the most severe psychopathological symptoms, whereas the low SA profile displayed the mildest manifestations. Proposed interventions aim to support adolescents with SA risk profiles.

How are illness representations of gambling disorder associated with gambling behaviors? A latent profile analysis.

Gambling disorder (GD) is a behavioral addiction that causes serious harm to individuals' mental health and social functioning. This study aimed to explore whether gamblers' illness representations (IR) for GD are related to disordered and/or controlled patterns of gambling under the framework of commonsense model of self-regulation (CSM). Based on CSM, different facets of IR do not exist in isolation but together form a total illness schema; we hence used a person-centered analysis method, latent profile analysis (LPA), to classify gamblers by their overall IR for GD (including consequences, personal and treatment control, timeline cyclical, emotional representations, and coherence) into groups and then tested whether these groups differed in GD symptoms, controlled gambling behaviors, and help-seeking intention. An anonymous online survey was conducted on a social media platform, and valid responses from 589 past-year adult gamblers were collected. LPA results supported a four-profile model, revealing four profiles of GD representations: the weak-perception profile, average profile, tensed-up profile, and rational profile. Significant differences were found in all outcome variables in these four profile groups. In particular, the rational group exhibited the lowest levels of GD symptoms and impaired behavioral control, the highest levels of responsible and controlled gambling, and the highest levels of help-seeking intention, whereas the weak-perception group reported the lowest levels of responsible and controlled gambling behaviors. The findings provide empirical support for the application of CSM to addictive behaviors, as well as preliminary evidence for the potential use of CSM-based interventions for GD prevention.

High sensitivity groups with distinct personality patterns: a person-centered perspective.

Introduction: Sensory-processing sensitivity (SPS) refers to interindividual differences in sensitivity to positive and negative environmental stimuli and reflects the concept of differential susceptibility. The Highly Sensitive Person Scale (HSPS) has been utilized to capture the multifaceted experiences of highly sensitive individuals. The scale's total score (i.e., the sum of the subfactors) is an indicator of high sensitivity. However, it cannot differentiate between the contributions of the specific subfactors. Consequently, interpreting the total score cannot help resolve the current theoretical debate about how individuals integrate the positive and negative aspects of sensitivity, whereas a multidimensional profile should be able to offer a more comprehensive understanding. Intriguingly, in variable-centered research, the subfactors' differential associations with external constructs in negative or positive trait spaces have suggested heterogeneity (i.e., interindividual differences) among highly sensitive individuals. Thus, person-centered approaches should be better suited to address this heterogeneity. Methods: To explore heterogeneity within the highly sensitive population, we conducted a three-step Latent Profile Analysis in two independent German-speaking samples (N = 1,102; N = 526). Subsequently, we employed the Five-Factor Model of personality to provide a detailed description of the latent sensitivity groups. Results: Beyond the frequently identified quantitative three-class differentiation of sensitivity groups, we obtained a four-class model that included two qualitatively different high-sensitivity groups, each displaying distinct HSPS subfactor and personality patterns that corresponded to prototypical personality profiles. Within these high sensitivity groups, (i) the Confident Sensitivity Group exhibited average Neuroticism, significantly above-average Openness, and slightly above-average Extraversion. By contrast, (ii) the Vulnerable Sensitivity Group displayed the typical personality pattern of significantly above-average Neuroticism, below-average Extraversion, and slightly above-average Openness. Personality analyses revealed that features such as passiveness, internalizing tendencies, giftedness, and aesthetics, often commonly ascribed to all highly sensitive individuals, are features that differ across distinct sensitivity groups. Discussion: To avoid over- or underestimating sensitivity effects, future research should consider these interindividual differences in highly sensitive individuals. For instance, studies could focus on the different associations of sensitivity groups with abilities, health aspects, emotion regulation and intervention outcomes, taking into account the different environmental factors that shape the type of sensitivity.