scholarly journals General and Eating Disorder Psychopathology in Relation to Short- and Long-Term Weight Change in Treatment-Seeking Children: A Latent Profile Analysis

2020 ◽  
Author(s):  
Anne Claire Grammer ◽  
John R Best ◽  
Lauren A Fowler ◽  
Katherine N Balantekin ◽  
Richard I Stein ◽  
...  
Keyword(s):  
Eating Disorder ◽  
Weight Change ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Weight Maintenance ◽  
Future Research ◽  
Eating Disorder Psychopathology ◽  
The Impact ◽  
Latent Profile

Abstract Background Concurrent general psychopathology (GP) and eating disorder psychopathology (EDP) are commonly reported among youth with overweight/obesity and may impact weight change. Purpose We identified patterns of GP and EDP in children with overweight/obesity and examined the impact on weight change following family-based behavioral obesity treatment (FBT) and maintenance interventions. Methods Children (N = 172) participated in 4 month FBT and subsequent 8 month weight maintenance interventions. GP and EDP were assessed prior to FBT (baseline). Child percentage overweight was assessed at baseline, post-FBT (4 months), and post-maintenance (12 months). Latent profile analysis identified patterns of baseline GP and EDP. Linear mixed-effects models examined if profiles predicted 4- and 12-month change in percentage overweight and if there were two-way and three-way interactions among these variables, adjusting for relevant covariates. Results Results indicated a three-profile structure: lower GP and EDP (LOWER); subclinically elevated GP and EDP without loss of control (LOC; HIGHER); and subclinically elevated GP and EDP with LOC (HIGHER + LOC). Across profiles, children on average achieved clinically meaningful weight loss (i.e., ≥9 unit change in percentage overweight) from baseline to 4 month FBT and sustained these improvements at 12 month maintenance. There was no evidence that latent profiles were related to percentage overweight change from baseline to FBT (p > .05) or baseline to maintenance (p > .05). There was no evidence for two-way or three-way interactions (p > .05). Conclusion Concurrent GP and EDP do not portend differential short- or long-term weight change following FBT and maintenance. Future research is warranted on the durability of weight change among youth with GP and EDP. Trial registration NCT00759746.

Exploring Science Career Interest: Latent Profile Analysis of High School Occupational Preferences for Science

2018 ◽  
Vol 46 (5) ◽  
pp. 583-598 ◽  
Author(s):  
Sarah L. Ferguson ◽  
Darrell M. Hull
Keyword(s):  
High School ◽  
Gender Differences ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Future Research ◽  
Academic Experience ◽  
Science Interest ◽  
Future Research Directions ◽  
The Impact ◽  
Latent Profile

The present study evaluates high school juniors and seniors ( n = 295) to explore their preference for science as indicated by science motivation, attitude, academic experience, and interest. Latent profile analysis was used to model profiles of preferences for science with a person-centered approach. Then, the impact of self-concept variables was explored and four profiles of science interest were identified. Gender differences were of particular interest due to concerns noted in the literature, and some gender differences were identified in the present study. Covariate analysis indicated vocabulary ability and personality as significantly different for students in the high science interest profile. Implications of these results and future research directions are discussed.

scholarly journals Influence of baseline user characteristics and usage patterns within the first 24 hours on long-term engagement and effectiveness of a web-based weight loss randomized controlled trial: a latent profile analysis (Preprint)

2020 ◽  
Author(s):  
Andre Q Andrade ◽  
Alline Beleigoli ◽  
Maria De Fatima Diniz ◽  
Antonio Luiz Ribeiro
Keyword(s):  
Weight Loss ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Controlled Trial ◽  
User Characteristics ◽  
Class Membership ◽  
Usage Patterns ◽  
The Impact ◽  
Latent Profile

BACKGROUND Adherence to online behaviour change interventions is one of the main challenges impacting long-term efficacy. Better understanding of baseline user characteristics can improve design and fit. OBJECTIVE We aim to understand the impact of users’ characteristics and the first 24h usage patterns of a web-platform for weight loss on user engagement and weight loss in the long-term (6 months). METHODS Data from participants of the POEmaS randomised controlled trial, which compared a weight loss platform, platform plus coach and control, were analysed. Data included baseline behaviour and usage logs from initial 24h after platform access. Latent profile analysis (LPA) was used to identify classes and Kruskal-Wallis was used to test whether class membership was associated with long-term (24 weeks) adherence and weight loss. RESULTS Among 828 participants assigned to intervention arms, three classes were identified through LPA: Motivated Healthy (better baseline health habits, high 24h platform use), Indifferent Majority (balanced), Unhealthy Quitters (worse habits and low 24h platform use). Class membership was associated with long-term adherence (p<0.001), and Unhealthy Quitters had the lowest adherence. Weight loss was not associated with class membership (p=0.49), regardless of the intervention arm (platform or platform plus coach). However, Indifferent Majority users assigned to platform plus coach lost more weight than those assigned to platform only (p=0.02). CONCLUSIONS Baseline questionnaires and usage data from the first 24h after login allowed distinguishing classes, which were associated with long term adherence. This suggests that this classification might be a useful guide to improve engagement and select interventions to individual users. CLINICALTRIAL ClinicalTrials.gov NCT03435445; https://clinicaltrials.gov/ct2/show/NCT03435445.

scholarly journals Latent Profile Analysis of the Five Facet Mindfulness Questionnaire in a Sample With a History of Recurrent Depression

Assessment ◽  
2017 ◽  
Vol 27 (1) ◽  
pp. 149-163 ◽  
Author(s):  
Jenny Gu ◽  
Anke Karl ◽  
Ruth Baer ◽  
Clara Strauss ◽  
Thorsten Barnhofer ◽  
...  
Keyword(s):  
Psychological Functioning ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Optimal Number ◽  
Future Research ◽  
Five Facet Mindfulness Questionnaire ◽  
Recurrent Depression ◽  
Mindfulness Skills ◽  
History Of ◽  
Latent Profile

Extending previous research, we applied latent profile analysis in a sample of adults with a history of recurrent depression to identify subgroups with distinct response profiles on the Five Facet Mindfulness Questionnaire and understand how these relate to psychological functioning. The sample was randomly divided into two subsamples to first examine the optimal number of latent profiles (test sample; n = 343) and then validate the identified solution (validation sample; n = 340). In both test and validation samples, a four-profile solution was revealed where two profiles mapped broadly onto those previously identified in nonclinical samples: “high mindfulness” and “nonjudgmentally aware.” Two additional subgroups, “moderate mindfulness” and “very low mindfulness,” were observed. “High mindfulness” was associated with the most adaptive psychological functioning and “very low mindfulness” with the least adaptive. In most people with recurrent depression, mindfulness skills are expressed evenly across different domains. However, in a small minority a meaningful and replicable uneven profile indicating nonjudgmental awareness is observable. Current findings require replication and future research should examine the extent to which profiles change from periods of wellness to illness in people with recurrent depression and how profiles are influenced by exposure to mindfulness-based intervention.

Examining the Long-Term Stability of a Strengths-Based Screener Over 2 Years

2017 ◽  
Vol 36 (8) ◽  
pp. 767-781 ◽  
Author(s):  
Kristy Warmbold-Brann ◽  
Melissa A. Maras ◽  
Joni W. Splett ◽  
Marissa Smith-Millman ◽  
Hannah Dinnen ◽  
...  
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
School Mental Health ◽  
First Grade ◽  
Time Profile ◽  
Future Research ◽  
Term Stability ◽  
Long Term Stability ◽  
Mental Health Programs

The success of universal screening for effective school mental health programs is dependent on the availability of usable measures as well as empirically based recommendations for use. The current study examined the long-term stability of a strengths-based social-emotional screening tool, the Devereux Student Strengths Assessment-Mini (DESSA-Mini). Elementary teachers rated students ( N = 273; kindergarten and first grade at Time 1) 3 times per year over 2 years to identify students for early intervention. Stability coefficients were moderate to large for continuous and categorical data but lower between years, and a transition matrix demonstrated greater movement across categories compared with prior research. A latent profile analysis with all six time-point T-Scores indicated four stability profiles. Three patterns were stable across all times while one profile improved over time. Profile results were compared with covariates of free and reduced-price lunch, special education, and intervention status as well as outcomes of reading achievement and behavior referrals. Practice implications and areas for future research are discussed.

The Impact of Parenting Style on Attitudes toward Masturbation: A Latent Profile Analysis

2021 ◽  
pp. 1-15
Author(s):  
Ethan Klukas ◽  
Emily Draper ◽  
Kimberley Kaseweter ◽  
Nina Gregoire ◽  
Jan Cioe
Keyword(s):  
Parenting Style ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
The Impact ◽  
Latent Profile

A Latent Profile Analysis of Living a Calling, Burnout, Exploitation, and Work–Life Imbalance

2021 ◽  
pp. 089484532199416
Author(s):  
Joo Yeon Shin ◽  
Eunseok Kim ◽  
Jina Ahn
Keyword(s):  
Job Satisfaction ◽  
Organizational Support ◽  
Latent Profile Analysis ◽  
Psychological Capital ◽  
Profile Analysis ◽  
Physical Symptoms ◽  
Work Life ◽  
Future Research ◽  
Work Related ◽  
Latent Profile

Research has predominantly focused on the positive aspects of living a calling (LC), hence more attention needs to be given to its potentially negative aspects. The current study examined profiles of 237 South Korean working adults, defined by individuals’ scores on LC, burnout, exploitation, and work–life imbalance from a person-centered perspective. Then, we examined the role of psychological capital, organizational support, and adequate compensation in predicting profile membership. Lastly, we examined mean differences across class membership in the levels of job satisfaction and work-related psychological and physical symptoms. Latent profile analysis identified three distinct profiles of individuals: the adaptive, average, and maladaptive. Psychological capital, organizational support, and adequate compensation predicted a higher likelihood of membership into the adaptive group, compared to the average group. The adaptive group showed the highest job satisfaction and the lowest work-related psychological symptoms. Implications for calling-related interventions and directions for future research are discussed.

scholarly journals Classification of probable online social networking addiction: A latent profile analysis from a large-scale survey among Chinese adolescents

2020 ◽  
Vol 9 (3) ◽  
pp. 698-708
Author(s):  
Ji-Bin Li ◽  
Anise M.S. Wu ◽  
Li-Fen Feng ◽  
Yang Deng ◽  
Jing-Hua Li ◽  
...  
Keyword(s):  
Social Networking ◽  
Large Scale ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Chinese Adolescents ◽  
Screening Tools ◽  
Future Research ◽  
Online Social Networking ◽  
Average Risk ◽  
Latent Profile

AbstractBackground and aimsProblematic online social networking use is prevalent among adolescents, but consensus about the instruments and their optimal cut-off points is lacking. This study derived an optimal cut-off point for the validated Online Social Networking Addiction (OSNA) scale to identify probable OSNA cases among Chinese adolescents.MethodsA survey recruited 4,951 adolescent online social networking users. Latent profile analysis (LPA) and receiver operating characteristic curve (ROC) analyses were applied to the validated 8-item OSNA scale to determine its optimal cut-off point.ResultsThe 3-class model was selected by multiple criteria, and validated in a randomly split-half subsample. Accordingly, participants were categorized into the low risk (36.4%), average risk (50.4%), and high risk (13.2%) groups. The highest risk group was regarded as “cases” and the rest as “non-cases”, serving as the reference standard in ROC analysis, which identified an optimal cut-off point of 23 (sensitivity: 97.2%, specificity: 95.2%). The cut-off point was used to classify participants into positive (probable case: 17:0%) and negative groups according to their OSNA scores. The positive group (probable cases) reported significantly longer duration and higher intensity of online social networking use, and higher prevalence of Internet addiction than the negative group.ConclusionsThe classification strategy and results are potentially useful for future research that measure problematic online social networking use and its impact on health among adolescents. The approach can facilitate research that requires cut-off points of screening tools but gold standards are unavailable.

Factor Analysis of Spontaneous Speech in Aphasia

2020 ◽  
Vol 63 (12) ◽  
pp. 4127-4147
Author(s):  
Jean K. Gordon
Keyword(s):  
Factor Analysis ◽  
Language Production ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Ecological Validity ◽  
Spontaneous Speech ◽  
Factor Scores ◽  
Linear Discriminant ◽  
The Impact ◽  
Latent Profile

Purpose Spontaneous speech tasks are critically important for characterizing spoken language production deficits in aphasia and for assessing the impact of therapy. The utility of such tasks arises from the complex interaction of linguistic demands (word retrieval, sentence formulation, articulation). However, this complexity also makes spontaneous speech hugely variable and difficult to assess. The current study aimed to simplify the problem by identifying latent factors underlying performance in spontaneous speech in aphasia. The ecological validity of the factors was examined by examining how well the factor structures corresponded to traditionally defined aphasia subtypes. Method A factor analysis was conducted on 17 microlinguistic measures of narratives from 274 individuals with aphasia in AphasiaBank. The resulting factor scores were compared across aphasia subtypes. Supervised (linear discriminant analysis) and unsupervised (latent profile analysis) classification techniques were then conducted on the factor scores and the solutions compared to traditional aphasia subtypes. Results Six factors were identified. Two reflected aspects of fluency, one at the phrase level (Phrase Building) and one at the narrative level (Narrative Productivity). Two other factors reflected the accuracy of productions, one at the word level (Semantic Anomaly) and one at the utterance level (Grammatical Error). The other two factors reflected the complexity of sentence structures (Grammatical Complexity) and the use of repair behaviors (Repair), respectively. Linear discriminant analyses showed that only about two thirds of speakers were classified correctly and that misclassifications were similar to disagreements between clinical diagnoses. The most accurately diagnosed syndromes were the largest groups—Broca's and anomic aphasia. The latent profile analysis also generated profiles similar to Broca's and anomic aphasia but separated some subtypes according to severity. Conclusions The factor solution and the classification analyses reflected broad patterns of spontaneous speech performance in a large and representative sample of individuals with aphasia. However, such data-driven approaches present a simplified picture of aphasia patterns, much as traditional syndrome categories do. To ensure ecological validity, a hybrid approach is recommended, balancing population-level analyses with examination of performance at the level of theoretically specified subgroups or individuals. Supplemental Material https://doi.org/10.23641/asha.13232354

scholarly journals Latent profile analysis ofemotional labor strategies in subordinate roles

2017 ◽  
Vol 30 (3) ◽  
pp. 465-489
Author(s):  
Soran Yeum ◽  
MyoungSo Kim
Keyword(s):  
Emotional Labor ◽  
Emotional Regulation ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Future Research ◽  
Job Effectiveness ◽  
On Line ◽  
Regulation Strategies ◽  
Turn Over ◽  
Latent Profile

The purpose of this study was to (1) confirm how employees utilize each regulation strategy of emotional labor(surface and deep acting) based on person-centered approach and (2) to examine determinants for each profile and the relationship between each profile and job effectiveness. A total of 507 employees working in a variety of different fields in Korea participated in an on-line survey. To identify sub-populations of emotional labor strategies in subordinate roles, latent profile analysis was adopted. The results indicated that five groups(surface actors, deep actors, non actors, low actors, regulators) were classified. In addition, each group was significantly distinguished by the antecedents of social stressor and leader trust, also related to various outcome variables(i.e., burn-out, job engagement, turn-over intention, felt-inauthenticity). These results showed how variables operate within people and shed light on variable-centered approach ignoring the possibility of distinct combinations of emotional regulation strategies. On the basis of the results, the implications and future research directions were discussed.

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