A latent profile analysis and testing the effect of influence factors of psychopathy in Korean adolescents community sample : 3-step Approach

Background.Though poorly defined, hypersomnia is associated with negative health outcomes and new-onset and recurrence of psychiatric illness. Lack of definition impedes generalizability across studies. The present research clarifies hypersomnia diagnoses in bipolar disorder by exploring possible subgroups and their relationship to prospective sleep data and relapse into mood episodes.Method.A community sample of 159 adults (aged 18–70 years) with bipolar spectrum diagnoses, euthymic at study entry, was included. Self-report inventories and clinician-administered interviews determined features of hypersomnia. Participants completed sleep diaries and wore wrist actigraphs at home to obtain prospective sleep data. Approximately 7 months later, psychiatric status was reassessed. Factor analysis and latent profile analysis explored empirical groupings within hypersomnia diagnoses.Results.Factor analyses confirmed two separate subtypes of hypersomnia (‘long sleep’ and ‘excessive sleepiness’) that were uncorrelated. Latent profile analyses suggested a four-class solution, with ‘long sleep’ and ‘excessive sleepiness’ again representing two separate classes. Prospective sleep data suggested that the sleep of ‘long sleepers’ is characterized by a long time in bed, not long sleep duration. Longitudinal assessment suggested that ‘excessive sleepiness’ at baseline predicted mania/hypomania relapse.Conclusions.This study is the largest of hypersomnia to include objective sleep measurement, and refines our understanding of classification, characterization and associated morbidity. Hypersomnia appears to be comprised of two separate subgroups: long sleep and excessive sleepiness. Long sleep is characterized primarily by long bedrest duration. Excessive sleepiness is not associated with longer sleep or bedrest, but predicts relapse to mania/hypomania. Understanding these entities has important research and treatment implications.

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A person-centered approach to understanding child temperament at ages 3 and 6

European Journal of Personality ◽

10.1177/08902070211007666 ◽

2021 ◽

pp. 089020702110076

Author(s):

Mariah T Hawes ◽

Megan C Finsaas ◽

Thomas M Olino ◽

Daniel N Klein

Keyword(s):

Latent Profile Analysis ◽

Profile Analysis ◽

Community Sample ◽

Child Temperament ◽

Model Fit ◽

Class Model ◽

Laboratory Observation ◽

Temperament Traits ◽

Person Centered Approach ◽

Latent Profile

Person-centered analyses, such as latent profile analysis, provide an approach to assessing individual differences in child temperament that aligns with typological theory and is well positioned for translation to applied settings. In a community sample, latent profile analysis was conducted using seven temperament traits assessed through laboratory observation when children were three- and six-years-old. At age 3, a four-class model fit best and subgroups were labeled “typical,” “sluggish,” “surgent,” and “dysregulated,” based on the pattern of class-specific means. A five-class model fit best at age 6 and subgroups were labeled “typical,” “sluggish,” “outgoing,” “active-impulsive” and “negative affect.” Associations between class membership and mother-reported temperament traits, concurrently assessed, were mostly consistent with the class identities. Comparison of subgroup membership across waves generally demonstrated patterns of continuity across groups characterized by similar trait patterns. This paper provides an illustrative guide for temperament researchers in the implementation of latent profile analysis, addressing important methodical considerations. Increased utilization of person-centered approaches like latent profile analysis could lead to important advances in the study of child temperament, such as improved understanding of the continuity of temperamental styles and more targeted risk assessment.

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The Dynamic Universal Profiles of Spiritual Awareness: A Latent Profile Analysis

Religions ◽

10.3390/rel11060288 ◽

2020 ◽

Vol 11 (6) ◽

pp. 288

Author(s):

Simon Hanseung Choi ◽

Clayton Hoi-Yun McClintock ◽

Elsa Lau ◽

Lisa Miller

Keyword(s):

Spiritual Development ◽

Latent Profile Analysis ◽

Developmental Process ◽

Profile Analysis ◽

Community Sample ◽

The United States ◽

Two Dimensions ◽

Clinical Samples ◽

Spiritual Engagement ◽

Latent Profile

The aim of the current investigation was to identify universal profiles of lived spirituality. A study on a large sample of participants (N = 5512) across three countries, India, China, and the United States, suggested there are at least five cross-cultural phenotypic dimensions of personal spiritual capacity—spiritual reflection and commitment; contemplative practice; perception of interconnectedness; perception of love; and practice of altruism—that are protective against pathology in a community sample and have been replicated in matched clinical and non-clinical samples. Based on the highest frequency combinations of these five capacities in the same sample, we explored potentially dynamic profiles of spiritual engagement. We inductively derived five profiles using Latent Profile Analysis (LPA): non-seeking; socially disconnected; spiritual emergence; virtuous humanist; and spiritually integrated. We also examined, in this cross-sectional data, covariates external to the LPA model which measure disposition towards meaning across two dimensions: seeking and fulfillment, of which the former necessarily precedes the latter. These meaning covariates, in conjunction with cross-profile age differences, suggest the profiles might represent sequential phases along an emergent path of spiritual development. Subsequent regression analyses conducted to predict depression, anxiety, substance-related disorders, and positive psychology based on spiritual engagement profiles revealed the spiritually integrated profile was most protected against psychopathology, while the spiritual emergence profile was at highest risk. While this developmental process may be riddled with struggle, as evidenced by elevated rates of psychopathology and substance use in the intermediate phases, this period is a transient one that necessarily precedes one of mental wellness and resilience—the spiritual development process is ultimately buoyant and protective.

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Latent Profile Analysis of learning strategy level and influence factors in middle & high school students

Journal of Educational Technology ◽

10.17232/kset.36.1.105 ◽

2020 ◽

Vol 36 (1) ◽

pp. 105-135

Author(s):

Jaehong Jang ◽

Innwoo Park ◽

Gayoung Yun

Keyword(s):

High School ◽

High School Students ◽

Latent Profile Analysis ◽

Learning Strategy ◽

Profile Analysis ◽

Influence Factors ◽

School Students ◽

Latent Profile

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Subtypes of suicidal ideation in Korean adolescents: A multilevel latent profile analysis

Australian & New Zealand Journal of Psychiatry ◽

10.1177/0004867418763530 ◽

2018 ◽

Vol 53 (2) ◽

pp. 158-167 ◽

Cited By ~ 3

Author(s):

Song Jung ◽

Dayoung Lee ◽

Seongjun Park ◽

Hyun Ju Hong

Keyword(s):

Mental Health ◽

Suicidal Ideation ◽

Latent Profile Analysis ◽

Mental Health Problems ◽

Profile Analysis ◽

Health Problems ◽

Community Level ◽

Korean Adolescents ◽

School And Community ◽

Latent Profile

Objective: This study intended to classify subtypes of Korean adolescents with suicidal ideation based on mental health problems and to explore the relationship between such subtypes and individual-, school- and community-level factors. Method: Data from high school freshmen who participated in the 2013 school-based mental health screening test and data about school and community variables obtained from public sources were combined and analyzed. A multilevel latent profile analysis using mental health issues as class indicators that included several predictors was conducted. Results: Three latent profiles were identified: Group 1 (6.5%) had high scores for both the internalizing and externalizing problems; Group 2 (40.2%) had high scores for internalizing problems, such as depression and mood related symptoms; and Group 3 (53.3%) had lower scores for all mental health problems compared to Groups 1 and 2. Gender, peer conflict, family conflict and academic problems were significant predictors at the individual level; school dropout rate was a significant school-level variable; and percent of youth in the total population, availability of mental health services, number of social welfare facilities and percentage of the total budget devoted to education/welfare were significant community-level variables. Conclusion: The present findings suggest that adolescents with suicidal ideation can be classified into several distinct subtypes based on mental health problems. These profiles and their associated covariates will aid in the establishment of youth suicide prevention policies.

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