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Objective: To investigate the current state of oral frailty in oldely patients with require dental implants, analyze influencing factors in the characteristics of oral frailty across different patient categories, and provide a reference for clinical staff to identify high-risk groups and develop proactive management strategies. Methods: Between January 2024 and March 2024, 654 patients with dental implants were selected using convenience sampling from six secondary and tertiary stomatological hospitals in Jiangsu and Zhejiang provinces. Data were collected via a general information questionnaire and the Oral Frailty Index-8. The latent profiles of oral frailty were examined, and univariate and Logistic regression analyses were conducted to determine the impact of various factors on these profiles. Results: In this cross-sectional study, 605 valid questionnaires were returned, yielding an effective rate of 92.58%. The mean oral frailty score was 6.64 ± 1.21, with the sample comprising 223 males and 382 females, averaging 72.54 ± 6.33 years old. Oral frailty was categorized into three latent profiles: high (20.50%), moderate (53.72%), and low (25.78%) frailty groups. Factor analysis indicated that age, gender, education level, family income, number of implants, and dyslipidemia significantly predicted the classification of these profiles (P < 0.05). Conclusion: Oral frailty in oldely patients with dental implants exhibits heterogeneity and is influenced by age, sex, education level, family income, number of implants, and dyslipidemia. Clinical staff should recognize the characteristics of different patient categories and implement proactive measures for those at high risk of oral frailty to enhance their quality of life. [ABSTRACT FROM AUTHOR]

Abstract Objective To investigate the current state of oral frailty in oldely patients with require dental implants, analyze influencing factors in the characteristics of oral frailty across different patient categories, and provide a reference for clinical staff to identify high-risk groups and develop proactive management strategies. Methods Between January 2024 and March 2024, 654 patients with dental implants were selected using convenience sampling from six secondary and tertiary stomatological hospitals in Jiangsu and Zhejiang provinces. Data were collected via a general information questionnaire and the Oral Frailty Index-8. The latent profiles of oral frailty were examined, and univariate and Logistic regression analyses were conducted to determine the impact of various factors on these profiles. Results In this cross-sectional study, 605 valid questionnaires were returned, yielding an effective rate of 92.58%. The mean oral frailty score was 6.64 ± 1.21, with the sample comprising 223 males and 382 females, averaging 72.54 ± 6.33 years old. Oral frailty was categorized into three latent profiles: high (20.50%), moderate (53.72%), and low (25.78%) frailty groups. Factor analysis indicated that age, gender, education level, family income, number of implants, and dyslipidemia significantly predicted the classification of these profiles (P

There is limited research examining latent profiles of gamers based on emotional variables, which has implications for prevention efforts. The study sought to identify young adult gamer profiles based on depression, anxiety, and stress, and to examine differences between the latent profiles in other addictive behaviors (i.e., tobacco, alcohol, cannabis, illegal substance use, gaming, and gambling). A total of 1209 young adults (M age = 19.37, SD = 1.62; 55.3%males) reported past-year gaming. A latent profile analysis (LPA) was performed to identify distinct profiles, and a set of ANOVA and chi-square analyses characterized the profiles in terms of sociodemographic, addictive behaviors, and emotional variables. LPA suggested a three-profile solution: profile 1 (n = 660, 'low emotional distress'), profile 2 (n = 377, 'moderate emotional distress'), and profile 3 (n = 172, 'high emotional distress'). Participants with 'moderate' and 'high emotional distress' were mostly women, showed greater gaming severity, higher prevalence of past-month substance use (i.e., tobacco and illegal drugs), and greater consequences of alcohol use. The cross-sectional nature of the study and sample being university students. Findings revealed three distinct profiles of gamers, which differed in emotional, gaming, and substance use severity. Transdiagnostic prevention programs have the potential to provide significant benefits to college students by addressing the core processes (e.g., emotion regulation) that underlie substance use and gaming. • Three latent profiles were identified, characterized by low, moderate, and high depression, anxiety, and stress. • Increased depression, anxiety, and stress were related to higher gaming severity. • Emotional symptoms were associated with substance use. • No significant association was found between gambling and gamers' mental health. [ABSTRACT FROM AUTHOR]

Abstract Background Nursing interns encounter numerous professional pressures during clinical practice. Assessing adversity quotient levels and understanding the influencing factors are crucial for supporting students’ seamless transition to professional nurses. Purpose This study examined the adversity quotient subtypes of nursing interns and explored the relationships between adversity quotient and depression, coping styles, positive psychological capital, and professional adaptability. Methods This study employed a cross-sectional research design, involving a survey of 287 nursing interns in five general hospitals in Shanghai, China. Latent profile analysis was conducted to explore the subtypes of adversity quotient with the four domains as input variables. Multinomial logistic regression models and multiple correspondence analysis were used for subsequent data analysis. Results The average adversity quotient score of the nursing interns was 116.63 ± 32.22. A three-profile solution was obtained based on the latent profile analysis results. Three distinct subtypes emerged: a high-adversity quotient subtype (n = 50, 17.4%), a medium-adversity quotient subtype (n = 189, 65.9%), and a relatively low-adversity quotient subtype (n = 48, 16.7%). Multinomial logistic regression revealed that nursing interns in the high-adversity quotient subtype tended to be male, and had higher scores for positive psychological capital, negative coping style, and professional adaptability (p

Background: Nursing interns encounter numerous professional pressures during clinical practice. Assessing adversity quotient levels and understanding the influencing factors are crucial for supporting students' seamless transition to professional nurses. Purpose: This study examined the adversity quotient subtypes of nursing interns and explored the relationships between adversity quotient and depression, coping styles, positive psychological capital, and professional adaptability. Methods: This study employed a cross-sectional research design, involving a survey of 287 nursing interns in five general hospitals in Shanghai, China. Latent profile analysis was conducted to explore the subtypes of adversity quotient with the four domains as input variables. Multinomial logistic regression models and multiple correspondence analysis were used for subsequent data analysis. Results: The average adversity quotient score of the nursing interns was 116.63 ± 32.22. A three-profile solution was obtained based on the latent profile analysis results. Three distinct subtypes emerged: a high-adversity quotient subtype (n = 50, 17.4%), a medium-adversity quotient subtype (n = 189, 65.9%), and a relatively low-adversity quotient subtype (n = 48, 16.7%). Multinomial logistic regression revealed that nursing interns in the high-adversity quotient subtype tended to be male, and had higher scores for positive psychological capital, negative coping style, and professional adaptability (p < 0.05). Conclusion: Most of the nursing interns were in the medium adversity quotient subtype. Gender, positive psychological capital, negative coping style and professional adaptability were all significantly related to the adversity quotient. Boosting the positive psychological capital of nursing interns is an effective way to improve the adversity quotient. [ABSTRACT FROM AUTHOR]

We examined if there were profiles of infants' behavioural and physiological responses during the still‐face and if these profiles were predicted by maternal sensitivity. Participants included 230 mothers (40.4% non‐white) and their 2‐month‐old infants (48.7% female). Three profiles were identified: continually increasing negative affect and decreasing respiratory sinus arrhythmia (RSA) (17.39%); modest, classic still‐face effect for negative affect and RSA (64.35%); high negative affect, late decreasing RSA (18.26%). Infants of highly sensitive mothers were more likely to be in the modest, classic still‐face effect for negative affect and RSA profile than in the continually increasing negative affect and decreasing RSA and the high negative affect, late decreasing RSA profiles. Additionally, infants of mothers who were high in maternal sensitivity were more likely to be in the continually increasing negative affect and decreasing RSA profile compared to the high negative affect, late decreasing RSA profile. The findings demonstrate heterogeneity in infant responses and that maternal sensitivity is an important predictor of children's behavioural and physiological responses to stressors. [ABSTRACT FROM AUTHOR]

The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA and RI-LPTA for examination has negligible impact on the estimation of transition probability parameters when the population parameters are generated based on the LPTA model. However, an estimation bias in the transition probabilities is observed in all simulated conditions when LPTA is used for analysis and the generated population parameters follow the RI-LPTA model. Researchers constructing empirical longitudinal models are advised to prioritize the use of RI-LPTA in model construction, regardless of whether LPTA exhibits random intercept effect. This measure helps to reduce the possible bias in the estimation parameters which may occur if the random intercept effect of LPTA is not taken into account during model specification. [ABSTRACT FROM AUTHOR]

Introduction: Nursing professionals working in Intensive Care Units (ICU) face significant challenges that can result in secondary traumatic stress (STS). These challenges stem from witnessing patients' suffering and managing difficult tasks (i.e. communication with patients' relatives). Furthermore, these professionals encounter emotional demands, such as emotional effort, which is the dissonance between the emotion felt and the emotion that should be expressed to meet work expectations. Consequently, we aimed to investigate whether different profiles exist concerning nurses' levels of emotional effort over a five-day period and whether these profiles are related to daily STS and vitality. Methods: The sample comprised 44 nursing professionals from ICUs in Spanish hospitals. They were assessed daily, using a package of questionnaires twice per day for five working days: a) immediately after their shift and b) at a later time after working. Results: The findings revealed three distinct profiles based on emotional effort levels: high (Profile 1), moderate (Profile 2), and low (Profile 3). These profiles were found to be negative predictors for both daily shattered assumptions and symptomatology. Discussion: This study underscores the importance of assessing daily emotional demands in an ICU setting. Such assessments are crucial for establishing preventive measures to help nursing professionals manage lower-level emotional demands. [ABSTRACT FROM AUTHOR]

The present study characterized sleep profiles in a national longitudinal sample of early adolescents and examined whether profiles predicted later behavioral problems. Three waves of data (2016–2021) were obtained from the Adolescent Behavior and Cognitive Development study, including 3,326 participants with both weekday and weekend sleep data measured by Fitbit wearables (age range 10.58–13.67 years; 49.3% female). Latent profile analysis was utilized to identify sleep profiles using multiple sleep indicators (duration, latency, efficiency, wake minutes, wake counts, and midpoint). We then explored whether demographic predictors predicted profile membership and tested the latent sleep profiles' predictive utility of internalizing and externalizing symptoms. Four profiles were identified: average sleep (40.39%), high duration & high wakefulness (28.58%), high efficiency, low duration & low wakefulness (16.86%), and low duration & low efficiency (14.17%). Participants with older age, males, higher body mass index, and advanced pubertal status were more likely to be classified in the low duration & low efficiency profile than the average group. Participants with lower income, minority identification, older age, and higher body mass index were more likely to be classified in the high efficiency, low duration & low wakefulness than the average group. Participants with lower parental education and males were more likely to be in the high sleep duration & high wakefulness than the average group. The low duration & low efficiency group had the highest attention problems, social problems, and rule-breaking behaviors. Our findings highlight unique sleep patterns in early adolescence and their prospective links with internalizing and externalizing problems. [ABSTRACT FROM AUTHOR]

Pandemics have the potential to be considered traumatic event, increasing the risk of developing post-traumatic stress symptoms (PTSS) in HealthCare Workers (HCW). However, few longitudinal studies have evaluated the impact of prolonged exposure to the risk imposed by COVID-19. Our aim was to identify subgroups of HCW with profiles of PTSS, how this profile changed during the pandemic and which variables were related to these changes. We evaluated the levels of PTSS and psychological distress in a Brazilian HealthCare Workers' sample (n = 1398) in three waves of assessment: from May to June 2020 (Wave 1), December 2020 to February 2021 (Wave 2) and May to August 2021 (Wave 3), using Latent Profile Analysis (LPA) to identify subgroups with different profiles of symptms, and then, Latent Transition Analysis (LTA) was applied to examine changes in symptom profiles over time, including gender, psychiatric diagnosis history, and pandemic-related fears as covariates. two profiles were identified: high-PTSS profile (Wave 1–23%; Wave 2–64% and Wave 3–73%) and a low-PTSS (Wave 1–77%; Wave 2–36% and Wave 3–27%). Being female, fear of contamination, and fearing financial problems were strong predictors of changes in the profile. In addition, the participants had a high probability of being in the high-PTSS in the long run. These results suggests that targeted interventions can mitigate the impact of pandemic. Providing financial support, and psychological support can be beneficial for those with psychiatric diagnoses and experiencing bereavement. [ABSTRACT FROM AUTHOR]

IntroductionNursing professionals working in Intensive Care Units (ICU) face significant challenges that can result in secondary traumatic stress (STS). These challenges stem from witnessing patients’ suffering and managing difficult tasks (i.e. communication with patients’ relatives). Furthermore, these professionals encounter emotional demands, such as emotional effort, which is the dissonance between the emotion felt and the emotion that should be expressed to meet work expectations. Consequently, we aimed to investigate whether different profiles exist concerning nurses’ levels of emotional effort over a five-day period and whether these profiles are related to daily STS and vitality.MethodsThe sample comprised 44 nursing professionals from ICUs in Spanish hospitals. They were assessed daily, using a package of questionnaires twice per day for five working days: a) immediately after their shift and b) at a later time after working.ResultsThe findings revealed three distinct profiles based on emotional effort levels: high (Profile 1), moderate (Profile 2), and low (Profile 3). These profiles were found to be negative predictors for both daily shattered assumptions and symptomatology.DiscussionThis study underscores the importance of assessing daily emotional demands in an ICU setting. Such assessments are crucial for establishing preventive measures to help nursing professionals manage lower-level emotional demands.

Abstract Background Numerous studies have demonstrated that low, unstable, or contingent self-esteem negatively affects youth development and is linked to adolescent psychopathology. However, most previous studies have applied variable-oriented approaches, and less is known about the natural combination of self-esteem facets in school-aged adolescents, how parental conditional regard affects self-esteem profiles, and how these profiles relate to self-kindness, self-judgement, and life satisfaction. Methods By employing a longitudinal person-oriented approach (i.e., latent profile analysis and latent transition analysis) on two-wave longitudinal data from 587 German secondary school students (52.3% female, M age=13.52 years), this study aims to (1) identify adolescents’ self-esteem profiles based on the level, stability, and contingency of self-esteem; (2) examine the impact of parental conditional regard on the self-esteem profiles explained using self-determination theory; and (3) examine these profiles’ relationship with self-kindness, self-judgement, and life satisfaction. Results Four self-esteem profiles were derived: optimal-secure (~ 8%), good (~ 18%), average (~ 36%), and low-insecure (~ 38%). The results reveal a concerningly high proportion as well as a high stability of low-insecure self-esteem (~ 98%) and indicate the strong negative influence of parental conditional regard on the development of optimal-secure self-esteem. Furthermore, the results demonstrate strong correlations between optimal-secure self-esteem, highly developed self-kindness, and high life satisfaction. Conclusions Using a longitudinal person-oriented approach, it was possible to identify a group with highly vulnerable self-esteem, characterised by particularly low self-kindness, strong self-judgment, and lower life satisfaction. The findings of this study support the need for prevention and intervention targeting adolescents with low-insecure self-esteem.

Background: Numerous studies have demonstrated that low, unstable, or contingent self-esteem negatively affects youth development and is linked to adolescent psychopathology. However, most previous studies have applied variable-oriented approaches, and less is known about the natural combination of self-esteem facets in school-aged adolescents, how parental conditional regard affects self-esteem profiles, and how these profiles relate to self-kindness, self-judgement, and life satisfaction. Methods: By employing a longitudinal person-oriented approach (i.e., latent profile analysis and latent transition analysis) on two-wave longitudinal data from 587 German secondary school students (52.3% female, Mage=13.52 years), this study aims to (1) identify adolescents' self-esteem profiles based on the level, stability, and contingency of self-esteem; (2) examine the impact of parental conditional regard on the self-esteem profiles explained using self-determination theory; and (3) examine these profiles' relationship with self-kindness, self-judgement, and life satisfaction. Results: Four self-esteem profiles were derived: optimal-secure (~ 8%), good (~ 18%), average (~ 36%), and low-insecure (~ 38%). The results reveal a concerningly high proportion as well as a high stability of low-insecure self-esteem (~ 98%) and indicate the strong negative influence of parental conditional regard on the development of optimal-secure self-esteem. Furthermore, the results demonstrate strong correlations between optimal-secure self-esteem, highly developed self-kindness, and high life satisfaction. Conclusions: Using a longitudinal person-oriented approach, it was possible to identify a group with highly vulnerable self-esteem, characterised by particularly low self-kindness, strong self-judgment, and lower life satisfaction. The findings of this study support the need for prevention and intervention targeting adolescents with low-insecure self-esteem. [ABSTRACT FROM AUTHOR]

Students' engagement in class stems from academic and social motivations, which can be expressed through their academic and social achievement goals. Using a person-centered approach, we investigated the configurations of academic and social achievement goals and their relevance for aspects of students' academic (achievement, self-concept, goal structures) and social life (bullying, belonging). We relied on data from 1,759 Austrian secondary students. Latent profile analyses based on the students' academic mastery, performance-approach, and performance-avoidance goals as well as social development, social demonstration-approach, and social demonstration-avoidance goals were conducted. Relations to aspects of students' social and academic life were investigated through structural equation modeling. We identified five profiles that were each differentially associated with these variables: (a) weak pursuit of all goals, (b) strong mastery and development but weak performance and demonstration goals, (c) strong mastery and development but moderate performance and demonstration goals, (d) strong mastery and strong performance goals paired with strong social development, demonstration-approach, and demonstration-avoidance goals. Findings from additional variable-centered analyses indicated that while profile analyses are helpful to explain how academic and social goals are combined within individuals, researchers primarily interested in explaining differences in students' academic and social functioning might derive clearer results through variable-centered approaches. [ABSTRACT FROM AUTHOR]

The main purpose of this study is to reveal whether the intention to leave changes according to the characteristics of the relationships established with close friends in the workplace with a person-centered approach. For this purpose, latent profiles were established by ensuring that workplace friendship is affected by the intention to leave and job satisfaction. This article presents an example of a three-stage study using implicit profile analysis with 433 data obtained from private sector employees. The analysis uncovered four latent profiles. The Partially Autonomous Very Strong Bond profile has the highest job satisfaction and the lowest intention to leave. If the level of trustworthiness, competency, job satisfaction is higher and the intention to leave is lower. The Integrated Very Strong Bond profile is the profile with the highest intention to leave. In cases were caring personal relationships and socio-cultural similarity are high, lower job satisfaction and the higher intention to leave have been observed. [ABSTRACT FROM AUTHOR]

This study investigates the reading profiles of rural Grade 5 and 6 students (N = 262), a sample with a high proportion of English language learners. We administered a battery of reading and cognitive assessments to classify students' reading profiles and evaluate if performance on cognitive measures predicted membership in particular profiles. Data were analyzed using latent profile analysis. Latent profile analysis showed four distinct reading profiles in our sample: students with severe reading disabilities (< 2%), students at high risk of reading disability (14%), students at some-risk of reading disability (46%), and students who are typical readers (38%). Lower performance on cognitive measures was associated with group membership in the severe reading profile group compared to the group of students at some-risk of reading failure. In contrast, higher performance on cognitive measures was associated with group membership in the typical reader group compared to students at some-risk of reading failure. In keeping with the findings from past studies documenting reader profiles, we found heterogeneity in the reading profiles of rural upper-elementary grade students. We discuss the need for multicomponent interventions that target all areas of reading with some flexibility in the dosage of each reading component dependent on the reader profiles established prior to intervention. [ABSTRACT FROM AUTHOR]

The present study examined the degree to which a large group of incoming college students (N = 2,290) had experienced economic constraints and marginalization across their lifetimes, before starting college. Latent profile analysis (LPA) was used to identify groups of students whose lifetime experiences differed based on economic constraints and marginalization experiences, and four distinct profiles emerged: (1) Privileged (low economic constraints and low marginalization; 52.8%), (2) Primarily Marginalized (high marginalization, 30.1%), (3) Primarily Constrained (high economic constraints; 7%), and (4) Marginalized and Constrained (high marginalization and high economic constraints; 10.3%). Compared to the Privileged group, students in the Marginalized and Constrained group were five times more likely to be first-generation students, 2.5 times more likely to intend to seek counseling in college, and two times more likely to identify as a Student of Color. They also experienced significantly greater current financial stress and lower life satisfaction. Implications for research and practice are discussed. [ABSTRACT FROM AUTHOR]

Latent Class and Latent Profile Models are widely used in psychological assessment settings, especially when individual differences are suspected to be related to unobserved class memberships, such as different personality types. This paper provides an easy-to-follow introduction and application of the methodology to the data collected as part of more extensive educational research investigating social-emotional competency profiles of preservice teachers (n=184) who responded to an Emotional Awareness Questionnaire. Suspected that there would be two or more latent emotional awareness sub-groups in the sample, a series of latent profile models was estimated. The results suggested three distinct emotional awareness profiles; namely, introverted, extroverted, and less sensitive to others' emotions, with proportions of 9%, 56%, and 35%, respectively. Subsequent analyses showed that preservice teachers with higher levels of emotionality, sociability, and well-being were more likely to be in the extroverted profile. The findings suggest that nearly half of the teachers in the sample could be expected to possess the most professionally desirable teacher profile. Nonetheless, it was noted that if timely diagnostic and tailored training or intervention programs were available, at least some of the preservice teachers in the less sensitive to others' profiles, and most of the preservice teachers in the introverted profile could be helped to self-observe the way which they tend to identify and regulate their emotions. [ABSTRACT FROM AUTHOR]

Emerging adult newlywed couples often experience many demands on their time, and three common problems may surface as couples try to balance these demands—problems related to finances, sleep, and sex. We used two waves of dyadic data from 1,001 emerging adult newlywed couples to identify four dyadic latent profiles from husbands’ and wives’ financial management behaviors, sexual satisfaction, and sleep quality: Flounderers, Financially Challenged Lovers, Drowsy Budgeters, and Flourishers. We then examined how husbands’ and wives’ marital satisfaction, in relation to profile membership, varied at a later wave. We found that Financially Challenged Lovers and Flourishers had significantly higher marital satisfaction than Drowsy Budgeters and Flounderers (mostly medium effect sizes). Whereas, Financially Challenged Lovers and Flourishers did not differ in terms of marital satisfaction, Drowsy Budgeters seemed to have slightly higher marital satisfaction than Flounderers for wives only (small effect size). However, we did not find evidence that these connections meaningfully differed by sex. Implications for the efforts of clinicians and educators are discussed. [ABSTRACT FROM AUTHOR]

Emerging adult newlywed couples often experience many demands on their time, and three common problems may surface as couples try to balance these demands—problems related to finances, sleep, and sex. We used two waves of dyadic data from 1,001 emerging adult newlywed couples to identify four dyadic latent profiles from husbands’ and wives’ financial management behaviors, sexual satisfaction, and sleep quality: Flounderers, Financially Challenged Lovers, Drowsy Budgeters, and Flourishers. We then examined how husbands’ and wives’ marital satisfaction, in relation to profile membership, varied at a later wave. We found that Financially Challenged Lovers and Flourishers had significantly higher marital satisfaction than Drowsy Budgeters and Flounderers (mostly medium effect sizes). Whereas, Financially Challenged Lovers and Flourishers did not differ in terms of marital satisfaction, Drowsy Budgeters seemed to have slightly higher marital satisfaction than Flounderers for wives only (small effect size). However, we did not find evidence that these connections meaningfully differed by sex. Implications for the efforts of clinicians and educators are discussed.

Background: To examine mental health during COVID-19 peaks, lockdown, and times of curfew, many studies have used the LPA/LCA person-centered approach to uncover and explore unobserved groups. However, the majority of research has focused only on negative psychological concepts to explain mental health. In this paper, we take another perspective to explore mental health. In addition, the study focuses on a period of peak decline in the COVID-19 pandemic. Objective: The present paper aim (a) empirically identifies different profiles among a cohort of Facebook users in Tunisia based on positive factors of mental health using a person-centered approach, (b) outline identified profiles across sociodemographic, internet use, and physical activity, and (c) establish predictors of these profiles. Methods: Cross-sectional data were collected through an online survey among 950 Facebook users were female (n = 499; 52.53%) and male (n = 451; 47.47) with an average age =31.30 ± 9.42. Subjects filled Arabic version of Satisfaction with Life Scale, Scale of Happiness (SWLS), Gratitude Questionnaire (GQ-6), International Physical Activity Questionnaire (IPAQ), and the Spirituel Well-Being Scale (SWBS). Results: The LPA results revealed three clusters. The first cluster (n = 489, 51,47%) contains individuals who have low scores on the positive psychology scales. The second cluster (n = 357, 37,58%) contained individuals with moderate positive psychology scores. However, a third cluster (n = 104, 10,95%) had high positive psychology scores. The selected variables in the model were put to a comparison test to ensure that the classification solution was adequate. Subsequently, the clusters were compared for the variables of socio-demographics, use of the internet for entertainment and physical activity, the results showed significant differences for gender (low mental well-being for the female gender), socio-economic level (low for the low-income class), and physical activity (low mental well-being for the non-exerciser). However, no significant differences were found for the variables age, location, and use of the Internet for entertainment. Conclusion: Our results complement person-centered studies (LPA/LCA) related to the COVID-19 pandemic and can serve researchers and mental health practitioners in both diagnostic and intervention phases for the public. In addition, the GQ6 scale is a valid and reliable tool that can be administered to measure gratitude for culturally similar populations. [ABSTRACT FROM AUTHOR]

BackgroundTo examine mental health during COVID-19 peaks, lockdown, and times of curfew, many studies have used the LPA/LCA person-centered approach to uncover and explore unobserved groups. However, the majority of research has focused only on negative psychological concepts to explain mental health. In this paper, we take another perspective to explore mental health. In addition, the study focuses on a period of peak decline in the COVID-19 pandemic.ObjectiveThe present paper aim (a) empirically identifies different profiles among a cohort of Facebook users in Tunisia based on positive factors of mental health using a person-centered approach, (b) outline identified profiles across sociodemographic, internet use, and physical activity, and (c) establish predictors of these profiles.MethodsCross-sectional data were collected through an online survey among 950 Facebook users were female (n = 499; 52.53%) and male (n = 451; 47.47) with an average age =31.30 ± 9.42. Subjects filled Arabic version of Satisfaction with Life Scale, Scale of Happiness (SWLS), Gratitude Questionnaire (GQ-6), International Physical Activity Questionnaire (IPAQ), and the Spirituel Well-Being Scale (SWBS).ResultsThe LPA results revealed three clusters. The first cluster (n = 489, 51,47%) contains individuals who have low scores on the positive psychology scales. The second cluster (n = 357, 37,58%) contained individuals with moderate positive psychology scores. However, a third cluster (n = 104, 10,95%) had high positive psychology scores. The selected variables in the model were put to a comparison test to ensure that the classification solution was adequate. Subsequently, the clusters were compared for the variables of socio-demographics, use of the internet for entertainment and physical activity, the results showed significant differences for gender (low mental well-being for the female gender), socio-economic level (low for the low-income class), and physical activity (low mental well-being for the non-exerciser). However, no significant differences were found for the variables age, location, and use of the Internet for entertainment.ConclusionOur results complement person-centered studies (LPA/LCA) related to the COVID-19 pandemic and can serve researchers and mental health practitioners in both diagnostic and intervention phases for the public. In addition, the GQ6 scale is a valid and reliable tool that can be administered to measure gratitude for culturally similar populations.

Introduction: Fibromyalgia is a very heterogeneous disorder. This heterogeneity is one of the reasons why researchers have tried to analyze different patient profiles and their relationship with quality of life. The aim of the present study was to identify: (1) latent profiles based on the Revised Fibromyalgia Impact Questionnaire’s scores, and (2) possible differences between them in quality of life, distrust in healthcare system, and adherence to medical recommendations. Methods: 707 FM patients (aged 18-85 years, 95% women) completed the Revised Fibromyalgia Impact Questionnaire, the 12-Item Short Form Health Survey, the Patient Adherence Scale, and the Health Care System Distrust Scale. Data were analyzed using latent profile analysis. Results: Three profiles were identified: (1) Low fibromyalgia impact profile (2) Moderate fibromyalgia impact profile, and (3) High fibromyalgia impact profile. Significant differences between these profiles were found in quality of life, adherence to medical recommendations, and distrust in healthcare system. Poor-sleep quality emerged as a significant high important symptom in the three profiles. Conclusion: The greater the fibromyalgia impact, the lower the quality of life, and the adherence to medical recommendations and the greater the mistrust in the healthcare system. Self-perceived sleep quality in fibromyalgia patients should require special attention from clinicians.

The COVID-19 pandemic severely affected public health and the prevalence of posttraumatic stress symptoms among adults in Hubei Province, China. In this study, a total of 2,930 (662 males and 2,268 females) adults answered a questionnaire obtaining information on their demographics, posttraumatic stress symptoms (i.e., intrusion and avoidance), social media exposure, social media involvement, and self-efficacy. Results of the latent profile analysis identified four latent profiles of posttraumatic stress symptoms, which are, no symptoms, high intrusion–low avoidance, moderate symptoms, and high symptoms. The multinomial logistic regression analyses revealed the contributors to the posttraumatic stress symptoms subgroups. Adults with high social media involvement were classified into the high intrusion–low avoidance group, whereas adults with low self-efficacy were included in the moderate symptoms group. Meanwhile, adults with high social media involvement and low self-efficacy were included in the high symptoms group. Interventions may focus on decreasing social media involvement for the adults in the high Intrusion–low avoidance group, improving self-efficacy for the adults in the moderate symptoms group, and reducing social media involvement and improving self-efficacy for the adults in the high symptoms group.

Child sexual abuse (CSA) is associated with a host of negative repercussions. Yet, scholarly reports highlight the diversity of symptom presentation in survivors of CSA. Relying on the complex posttraumatic stress disorder (C-PTSD) framework, this study aimed to identify symptom profiles in teenage girls seeking services following disclosure of CSA. Participants included 207 teenage girls aged 12–18. They completed questionnaires on PTSD symptoms (i.e., reexperiencing, avoidance, and hyperarousal) and domains of impairments of the C-PTSD (i.e., interpersonal difficulties, biology, affect and behavioral regulation, dissociation, cognition, and self-concept). A latent profile analysis identified three profiles: PTSD, Complex PTSD, and Resilient. Results support the validity of the C-PTSD model with a subgroup reporting classic PTSD symptoms as well as alterations in several domains of functioning. Our second aim was to explore potential correlates of the resulting symptom profiles. Both personal and family factors were found to distinguish profiles, with teens in the Resilient group reporting fewer associations with delinquent peers, less use of avoidance coping strategies, and more maternal support than the two other profiles. Furthermore, CSA severity did not differ between the Complex PTSD and the Resilient profiles. The current findings argue in favor of a more individualized approach to treatment taking into consideration differences in presentation of symptoms among profile teenage survivors of CSA. Public Policy Relevance Statement: Child sexual abuse (CSA) constitutes a significant public health problem leading to alterations in several domains of functioning. This study argues in favor of an individualized tailoring of evidenced-based treatments by revealing three distinct symptom profiles including a severely impaired profile, a posttraumatic stress symptoms profile, and a resilient profile. Interventions for CSA survivors should target protective factors to foster resilience. [ABSTRACT FROM AUTHOR]

Orthorexic eating behaviors can be conceptualized as a bidimensional construct encompassing an orthorexia nervosa dimension (ON) and a healthy orthorexia dimension (HO). Although variable-centered studies showed that ON and HO are distinguishable orthorexic eating behaviors, the evidence of whether they can co-occur or be distinct in subgroups of individuals is still limited. The present study aimed to address previous person-centered studies' limitations by examining profiles of ON and HO among a convenience sample of 251 French-speaking Canadian adults (85.7% women; M age = 33.56). Profile membership was examined as function of participants characteristics such as age, gender, body mass index, frequency of physical activity and sports and vegetarianism. The relation between profile membership, intuitive eating and disordered eating attitudes and behaviors was also assessed. Latent profile analysis (LPA) were used to estimate profiles of ON and HO. Results from LPA did not provide support for the distinguishability of ON and HO. Indeed, they revealed the presence of two profiles showing co-occurring levels of ON and HO that only differed quantitatively: low (68.9% of the sample; low levels of ON and HO) or moderate orthorexic eating behaviors (31.1%; moderate levels of ON and HO). Participants who declared being vegetarian and being more frequently involved in physical activities and sports were more likely to belong to the moderate orthorexic eating behaviors' profile. Finally, participants from the moderate orthorexic eating behaviors' profile showed higher levels of disordered eating attitudes and behaviors, whereas those from the low orthorexic eating behaviors' profile showed higher levels of intuitive eating. Findings from the present study question the distinguishability of ON and HO dimensions. They also suggest that, similarly to ON, HO is also related to higher eating and lifestyle preoccupations. [ABSTRACT FROM AUTHOR]

Adolescent sexual minority males (ASMM) are among the highest risk groups for suicide in the United States, with substance use as a significant risk factor. We tested for an association between substance use and suicidality among ASMM from the 2015 and 2017 Youth Risk Behavior Survey (n  = 849). We compared several approaches to synthesizing measures of marijuana, cocaine, heroin, ecstasy, methamphetamines, synthetic marijuana, and prescription drug abuse, including several categorized and continuous indices, latent class analysis based on any use of each substance, and latent profile analysis based on use frequency. Using all approaches, substance use was positively associated with suicide attempts independent of covariates. A continuous cumulative index was the best fit to our data (quasi-information criterion = 853.9969) and detected the largest association, with the highest prevalence of suicide attempts among ASMM who used all substances compared with those who used none (adjusted prevalence ratio = 3.35, 95% confidence interval: 2.41, 4.66). A 3-latent-class model had the second best fit to the data (quasi-information criterion = 878.4464), with the highest prevalence of suicide attempts (adjusted prevalence ratio = 2.54, 95% confidence interval: 1.80, 3.57) among the high-substance-use class compared with the low-use class. Substance use is an especially important focal point for targeted interventions reducing suicidality among ASMM. [ABSTRACT FROM AUTHOR]

Background: The purpose of the present study is to identify profiles of adolescent exercisers based on exercise addiction symptoms (EA), and to examine differences in several health-related variables potentially related to EA across these profiles.Methods: A sample consisting of 618 adolescents, aged from 13 to 17 years, completed a questionnaire assessing EA, exercise characteristics (i.e., frequency and intensity of exercise), depression, body image (i.e., body appreciation and social physique anxiety), and disordered eating (i.e., concerns about eating and body weight gain as well as restrictive and compensatory practices).Results: The profile analysis identified three EA profiles, which were labelled: low-risk, high-risk with conflict and high-risk without conflict. Based on their scores for the health-related variables considered, the low-risk profile emerged as the least problematic; this increasing in the high-risk without conflict and even more so in the high-risk with conflict profiles. Nevertheless, individuals belonging to the high-risk without conflict profile showed similar body appreciation scores but lower social physique anxiety scores than those belonging to the low-risk profile.Limitations: The study is limited by both its cross-sectional design and the self-reported nature of the collected data.Conclusions: Conflict symptom may be relevant in explaining the differences in certain health-related variables between adolescents showing similarly high levels of EA. [ABSTRACT FROM AUTHOR]

Aim: The main goal of the present study was to explore the latent structure of schizotypy as an indicator of psychosis liability, in a community‐derived sample of adolescents. Links to mental health difficulties, prosocial behaviour, suicidal ideation, bipolar‐like experiences and psychotic‐like experiences (PLEs) (severity and distress) were compared across schizotypy latent profiles. Method: The present research included 1588 adolescents selected by a stratified random cluster sampling. The Oviedo Schizotypy Assessment Questionnaire (ESQUIZO‐Q), The Paykel Suicide Scale (PSS), The Strengths and Difficulties Questionnaire (SDQ), The Prodromal Questionnaire‐Brief (PQ‐B), The Mood Disorder Questionnaire (MDQ), The Penn Matrix Reasoning Test (PMRT), The Family Affluence Scale‐II (FAS‐II), and The Oviedo Infrequency Scale (INF‐OV) were used. Results: Using latent profile analysis four latent classes (LC) were identified: "Positive schizotypy" (14.1%, n = 224), "Low schizotypy" (51.9%, n = 825), "Social Disorganization schizotypy" (27.2%, n = 432), and "High schizotypy" (6.7%, n = 107). The "High schizotypy" class scored higher on several psychometric indicators of psychopathology (ie, mental health difficulties, suicide ideation, bipolar‐like experiences and PLEs) relative to the other three LC. Conclusion: Four groups of adolescents with different patterns of schizotypal traits and different clinical‐pathological meaning were found. Deficits found across schizotypy latent profiles, resembling those found in patients with psychosis and ultra‐high risk samples. The identification of homogeneous subgroups of adolescents potentially at risk for psychosis may help us in the prevention of psychotic‐spectrum disorders and mental health problems. [ABSTRACT FROM AUTHOR]

The association between cognitive emotion regulation strategy use and adolescents' risk behavior has long been emphasized. To identify coping profiles of Chinese adolescents having unprotected sex and to examine the characteristics and associations among those subgroups, 541 adolescents (age, 14-19 years) were screened from secondary schools in 10 Chinese cities. By latent profile analysis (LPA), the participants were identified into three latent profiles: the low reaction profile (LRP, N = 70), the medium reaction profile (MRP, N = 369), and the high reaction profile (HRP, N = 102) based on nine subscales of the Cognitive Emotion Regulation Questionnaire (CERQ). By oneway analysis of variance, chi-square tests, and multivariate logistic regression analysis, we found that: the HRP has the highest level of using eight strategies and the lowest unprotected sex, meanwhile the LRP has the lowest level of using nine strategies and the highest unprotected sex among three groups (both p < .05). The low response coping was more prevalent among boys and younger students. It indicates that more active cognitive coping, using both adaptive and maladaptive strategies, may associate with less unprotected sex. The programs of enhancing active copying may be targeted in interventions aiming to reduce adolescent unprotected sex. [ABSTRACT FROM AUTHOR]

The main goal of the present study was to explore the latent structure of schizotypal traits in non-clinical young adults, and compare the latent profiles in clinical and personality characteristics: mental distress, psychosis-proneness, hypomanic experiences, and anticipatory and consummatory pleasure. A large sample of college students (N =1002; mean age =21.11 years; SD =3.92) were administered the Schizotypal Personality Questionnaire-Brief Revised, the Mood Disorder Questionnaire, the short version of the Oxford-Liverpool Inventory of Feelings and Experiences, the General Health Questionnaire-12, and the Temporal Experience of Pleasure Scale. Using latent profile analysis, four latent classes (LC) were identified: “low schizotypy” (62.4%), “average schizotypy” (17.6%), “interpersonal schizotypy” (17.1%), and “high schizotypy” (2.9%). The “high schizotypy” class scored higher on most psychometric indicators of psychopathology and personality (i.e., mental distress, schizotypy, hypomanic experiences, and anticipatory and consummatory pleasure) relative to other three latent classes. The other three schizotypal latent profiles also varied in terms of these psychopathology and personality factors. The identification of homogeneous subgroups of individuals potentially at-risk for psychosis based on schizotypal latent profiles may improve early identification and prevention efforts aimed at reducing the burden associated with psychotic-spectrum disorders and mental health problems. [ABSTRACT FROM AUTHOR]

The objective of this article was to determine (1) the existence of individually varying patterns of physical activity, sedentary behavior, and nutrition intake risk; and (2) how these risk-patterns relate to youth's demographics, Body mass index (BMI) and psychosocial functioning. Participants (N = 9,304) from the 2007 8th Grade Early Childhood Longitudinal Study Cohort completed the revised Self-Description Questionnaire II. Age, sex, height, and weight were used to calculate body mass index (BMI) z scores and percentiles. Three risk profiles emerged via Latent Profile Analyses: "Active + Healthy Diet" (AHD; 16.3% Obese); "Sedentary + Unbalanced Diet" (SUD; 21.3% Obese); and "Screen-Time + Recreational Food" (STRF; 25.0% Obese). Significant differences in BMIs, psychosocial factors, and demographic characteristics were found across the profiles. Differential patterns of physical activity, sedentary behavior, and nutritional choices were found to predict BMI and psychosocial functioning. These findings may be helpful to refine and develop modular-based prevention and weight control intervention programs. [ABSTRACT FROM AUTHOR]

Patients with cannabis use disorder (CUD) show heterogeneous sociodemographic and consumption patterns. Although previous studies, focused on identifying subgroups of CUD patients using input variables, have yielded useful results for planning individualized treatments, no published research has analyzed the profiles of CUD patients according to their therapeutic progress. This study therefore aims to identify subgroups of patients using adherence and abstinence indicators and to explore whether these profiles are associated with sociodemographic characteristics, consumption variables, and long-term therapeutic outcomes. This was a retrospective observational study with a multisite sample of 2055 CUD outpatients who were beginning treatment. The study monitored patient data at two-year follow-up. We conducted latent profiles analysis on the appointment attendance ratio and percentage of negative cannabis tests. A three profile solution emerged: i) moderate abstinence/moderate adherence (n = 997); ii) high abstinence/moderate adherence (n = 613); and iii) high abstinence/high adherence (n = 445). The study found the most marked differences at the beginning of treatment for education level (chi 2 (8) = 121.70, p <.001), source of referral (chi 2 (12) = 203.55, p <.001), and frequency of cannabis use (chi 2 (10) = 232.39, p <.001). Eighty percent of patients from the "high abstinence/high adherence" group were relapse-free at two year follow-up. This percentage decreased to 24.3 % in the "moderate abstinence/moderate adherence" group. Research has shown adherence and abstinence indicators to be useful for identifying subgroups of patients with different prognoses regarding long-term success. Recognizing the sociodemographic and consumption variables associated with these profiles at the beginning of treatment could help to inform the design of more individualized interventions. • Abstinence/adherence are useful indicators to identify CUD patient latent profiles. • Latent profiles identified show association with different long-term outcomes. • The "moderate abstinence/ moderate adherence" group has a higher risk of dropout. • 80 % of "high abstinence/high adherence" group did not require additional treatment. [ABSTRACT FROM AUTHOR]

Research concerning school success and completion has grown increasingly complex with the number of proposed associated risk and needs domains. As the number of domains expands, various data analytical techniques have been employed to understand them, including the modeling of latent profiles, to better understand how risks and needs aggregate at the level of individual persons. Latent profile analysis helps identify individuals' subgroups based on salient combinations of characteristics. The present study used latent profile analysis and a systematic profile similarity approach to examine the profiles across middle and high school student cohorts. The study replicates the profiles of previous work with high school students and extends this to middle school students. We used two independent cohorts to replicate a 3-profile solution for middle and high school samples. Results supported a similar 3-profile solution for both samples, with minor discrepancies. Results are discussed with respect to the replication and extension of the 3-profile model and its application to efforts to improve outcomes for youth in both grade level cohorts., (Published by Elsevier Ltd.)

Background: The outcomes of psychological therapies for anxiety and depression vary across individuals and symptom domains. Being able to predict treatment response from readily available patient data at presentation has potentially important benefits in aiding decisions about the most suitable interventions for a patient. This paper presents a method of identifying subgroups of patients using latent profile analysis, and comparing response to psychological treatments between these profiles.Methods: All outpatients taken into treatment at two psychological treatment services in London, UK and who provided basic demographic information and standardized symptom measures were included in the analysis (n=16636).Results: Latent Profile Analysis was performed on intake data to identify statistically different groups of patients, which were then examined in longitudinal analyses to determine their capacity to predict treatment outcomes. Comparison between profiles showed considerable variation in recovery (74-15%), deterioration rates (5-20%), and levels of attrition (17-40%). Further variation in outcomes was found within the profiles when different intensities of psychological intervention were delivered.Limitations: Latent profiles were identified using data from two services, so generalisability to other services should be considered. Routinely collected patient data was included, additional patient information may further enhance utility of the profiles.Conclusions: These results suggest that intake data can be used to reliably classify patients into profiles that are predictive of outcome to different intensities of psychological treatment in routine care. Algorithms based on these kinds of data could be used to optimize decision-making and aid the appropriate matching of patients to treatment. [ABSTRACT FROM AUTHOR]

Two limitations in research examining adolescents' risk cognitions have been the absence of developmental age group comparisons on a breadth of cognitions and the need to better characterize how cognitions influence behavior. To address these limitations, this study compared adolescent ( n = 205; 52% female) and young adult ( n = 274; 58% female) risk cognitions (risk probability, risk identification, risk tolerance, risk salience, and risk preference) and used variable- and person-centered approaches to explore how cognitions affect problem behavior. Adolescents generally reported lower risk-related cognitions than young adults. Further, risk probability, the cognition typically assessed in research, did not exert an independent effect on behavior. Adolescents and young adults were characterized by two similar cognition profiles, but only adolescents were characterized by a third, maladaptive profile, Low Identification / High Preference , reflecting low risk identification and risk salience and high risk preference. Interventions should arguably target these three cognitions within at-risk youth. [ABSTRACT FROM AUTHOR]

Little is known about students' motivations toward scientific research or the implications of pursuing multiple research motivations simultaneously. We conducted latent profile analysis (a person-centered statistical technique) on 1,052 undergraduate students from three universities enrolled in physics, chemistry, and biology laboratory sections. Based on a tripartite model that conceptualizes research motivations as intrinsic, extrinsic, and failure avoidant, analyses revealed five distinct research motivational profiles which were described as Unmotivated; Neutral Engagement, Ternary-Driven; Emerging Engagement; and High Engagement. Profile membership was associated with differences in science class experiences, science identity, and future research intentions. Results showed students were optimally motivated toward science when highly endorsing both intrinsic and extrinsic motivations, with low failure avoidance. These findings contribute to the literature on self-determination theory, intrinsic motivation and multiple goals, and these data create a framework for understanding undergraduate science laboratory experiences that may aid in efforts to broaden the participation of students in science. [ABSTRACT FROM AUTHOR]

Objective Pediatric psychologists are often interested in finding patterns in heterogeneous cross-sectional data. Latent variable mixture modeling is an emerging person-centered statistical approach that models heterogeneity by classifying individuals into unobserved groupings (latent classes) with similar (more homogenous) patterns. The purpose of this article is to offer a nontechnical introduction to cross-sectional mixture modeling. Method An overview of latent variable mixture modeling is provided and 2 cross-sectional examples are reviewed and distinguished. Results Step-by-step pediatric psychology examples of latent class and latent profile analyses are provided using the Early Childhood Longitudinal Study–Kindergarten Class of 1998–1999 data file. Conclusions Latent variable mixture modeling is a technique that is useful to pediatric psychologists who wish to find groupings of individuals who share similar data patterns to determine the extent to which these patterns may relate to variables of interest. [ABSTRACT FROM PUBLISHER]

Social networks are a source of distraction in personal, academic, and professional tasks. In the university context, they can lead to academic procrastination behaviour and undermine students' academic performance. The aims of this study are a) to identify profiles of students with similar values in excessive use, lack of control and obsession with social networks, and b) analyse whether there are significant differences in procrastination behaviours and academic performance of the identified profiles. A total of 1784 students from 24 Spanish universities took part in the study. The Social Network Addiction Questionnaire and the Spanish version of the Procrastination Assessment Scale-Student test were used. Profiles were identified through Latent Profile Analysis and differences between groups were analysed through the three-step Bolck-Croon-Hagenaars method. The results showed three profiles regarding the excessive use of social networks: low addiction, moderate addiction and high addiction. Significant differences were found between the three latent profiles in academic procrastination, showing that the higher the addiction to social networks, the higher the procrastination behaviour. However, there were no significant differences between the groups with respect to academic performance. In conclusion, although the addiction to social networks is related to procrastination behaviour, it is considered that they could be a useful resource in the initial training process of undergraduates. • Three profiles regarding the excessive use of social networks were identified. • Significant differences in procrastination were observed between the latent profiles. • The "high addiction" profile presents the higher procrastination behaviour. • There were no significant differences between the student profiles in academic performance. [ABSTRACT FROM AUTHOR]

Introduction: There are a wide variety of methods for using combustible cannabis which may impact an individual's pattern of use as well as their response to cannabis use disorder (CUD) treatment. Previous research has noted racial/ethnic differences in cannabis users' preferred method of use.Method: The current study examined data from a randomized placebo-controlled trial of a pharmacological intervention for adults with CUD. Latent profile analysis classified participants (N = 302) based on their primary method of combustible cannabis use.Results: A four profile solution emerged which identified participants who demonstrated 1) Primarily Joint (n = 50), 2) Primarily Blunt (n = 106), 3) Mixed MoU (n = 30), and 4) Primarily Pipe (i.e., pipe or bong; n = 116) use. Profiles were compared on socio-demographic characteristics and racial differences were found among the four latent profiles as well as differences in their level of use. Cannabis users with a preference for joints were more likely to be White as compared to other racial groups. In contrast, a greater proportion of participants with a preference for blunts were African American. The Primarily Joint profile was found to have the highest cannabis relapse rate at 1-month follow-up (94%) which was significantly greater than the Mixed MoU (74%, x2 = 5.06, p < .05) and Primarily Pipe (78%, x2 = 9.24, p < .01) profiles. Interestingly, there was no difference in 1-Month Follow-up cannabis relapse rates between the Primarily Joint and Blunt profiles (87%, x2 = 9.24, p > .05).Conclusions: Findings suggest that treatment-seeking individuals who primarily use joints or blunts may face unique challenges that may impact cannabis abstinence. Along with other cannabis-related characteristics, an individual's preferred method of use may represent an important factor to consider in the treatment of CUD. [ABSTRACT FROM AUTHOR]

The construct of tobacco dependence is important from both scientific and public health perspectives, but it is poorly understood. The current research integrates person-centered analyses (e.g., latent profile analysis) and variable-centered analyses (e.g., exploratory factor analysis) to clarify the latent structure of nicotine dependence and to guide distillation of the phenotype. Using data from 4 samples of smokers, latent profiles were derived using the Wisconsin Inventory of Smoking Dependence Motives subscale scores. Across all 4 samples, results revealed a unique latent profile that had relative elevations on 4 subscales (Automaticity, Craving, Loss of Control, and Tolerance). Variable-centered analyses supported the uniqueness of these 4 subscales as they constituted a distinct common factor and were the strongest predictors of relapse and other dependence criteria. Conversely, the remaining 9 motives carried little unique predictive validity regarding dependence. Applications of a factor mixture model further supported the presence of a unique class of smokers in relation to a common factor underlying the 4 subscales. The results suggest that a pattern of smoking that is heavy, pervasive, automatic, and relatively unresponive to instrumental contingencies is a necessary and sufficient condition for severe nicotine dependence. [ABSTRACT FROM AUTHOR]

• There is variation in the social functioning of adolescents with a history of ADHD • Latent Profile Analysis revealed four distinct social profiles • Group level descriptions of social impairment do not represent this diversity Social impairment is a hallmark of Attention-deficit/hyperactivity disorder (ADHD), but the extent of variation in adolescent social strengths and weaknesses is unclear. We compared teacher-reported characteristics of social functioning in adolescents with a history of ADHD (N = 340), and without ADHD (N = 182) from the NIMH Collaborative Multisite Multimodal Treatment Study of Children with ADHD (MTA) at 72-month follow-up (13 – 15.9 years-old). Latent profile analysis of teacher-reported cooperation, assertion and self-control on the Social Skills Rating System (SSRS), was used to identify "social profiles". Their associations with clinical features were explored. Significant differences in social functioning were identified between adolescents with a history of ADHD, and without ADHD (ES = 0.54 – 0.77). Four distinct social profiles were identified in adolescents with a history of ADHD: unskilled (N = 24, 7%) , low average (N = 144, 42%) , average (N = 141, 41%) , and skilled (N = 31, 9%). Profiles with worse social functioning (low average, unskilled) displayed more symptoms of inattention, hyperactivity/impulsivity, oppositionality, depression, global impairment, and were less liked, more rejected and ignored by peers than average and skilled. Social profile membership was not associated with sex, anxiety symptoms, or remittance / persistence of ADHD. Social functioning in adolescents with a history of ADHD is variable, and associated with worse symptomology, global functioning, and peer relationships, irrespective of persistence or remittance of ADHD. Group level summaries of social difficulties in ADHD may be inadequate given nearly half of adolescents with a history of ADHD presented with average or skilled social profiles. [ABSTRACT FROM AUTHOR]