scholarly journals Four subtypes of childhood allergic rhinitis identified by latent class analysis

2021 ◽  
Author(s):  
S. Tolga Yavuz ◽  
Ceyda Oksel Karakus ◽  
Adnan Custovic ◽  
Ömer Kalaycı
Keyword(s):  
Allergic Rhinitis ◽  
Family History ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Clinical Symptoms ◽  
Allergic Sensitization ◽  
Class Analysis ◽  
Data Set ◽  
Class 1 ◽  
History Of

Background: Childhood allergic rhinitis (AR) is clinically highly heterogeneous. We aimed to identify distinct subgroups amongst children with AR, and to ascertain their association with patterns of symptoms, allergic sensitization and concomitant physician-diagnosed asthma. Methods: We recruited 510 children with physician-diagnosed AR, of whom 205 (40%) had asthma. Latent class analysis (LCA) was performed to identify latent structure within the data set using 17 variables (allergic conjunctivitis, eczema, asthma, family history of asthma, family history of allergic rhinitis, skin sensitization to 8 common allergens, tonsillectomy, adenoidectomy). Results: A four−class solution was selected as the optimal model based on statistical fit. We labeled AR latent classes as: (1) AR with grass mono-sensitization and conjunctivitis (n=361, 70.8%); (2) AR with house dust mite sensitization and asthma (n=75, 14.7%); (3) AR with pet and grass polysensitization and conjunctivitis (n=35, 6.9%) and (4) AR among children with tonsils and adenoids removed (n=39, 7.6%). Perennial AR was significantly more common among children in Class 2 (OR 5.83, 95%CI 3.42−9.94, p<0.001) and Class 3 (OR 2.88, 95%CI 1.36−6.13, p=0.006). Mild and intermittent AR symptoms were significantly more common in children in Class 3 compared to those in Class 1. AR was more severe in Class 1, compared to other 3 classes, indicating that upper respiratory symptoms are more severe among children with isolated seasonal rhinitis, than in those with rhinitis and coexisting asthma. Conclusion: We have identified 4 phenotypes in school-age children with AR, which were associated with different patterns of clinical symptoms and comorbidities.

Schizotypal traits in adolescents: Links to family history of psychosis and psychological distress

2012 ◽  
Vol 28 (4) ◽  
pp. 247-253 ◽  
Author(s):  
M. Cella ◽  
M. Serra ◽  
A. Lai ◽  
O.J. Mason ◽  
D. Sisti ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Family History ◽  
Latent Class Analysis ◽  
Latent Class ◽  
General Health Questionnaire ◽  
Positive Association ◽  
Total Sample ◽  
Class Analysis ◽  
Item Endorsement ◽  
History Of

AbstractObjectiveStudies in the general population report that unusual subjective experiences are relatively common. Such experiences have been conceptualized either as extreme personality traits or as vulnerability markers for psychosis, and often grouped under the expression “schizotypal experiences”. This study investigates the heterogeneity of schizotypal traits using factor and latent class analysis.MethodsOne thousand and thirty-two adolescents were recruited for this study. Schizotypal experiences were assessed with the Oxford-Liverpool Inventory of Feelings and Experiences (O-LIFE); psychological distress was assessed with the General Health Questionnaire (GHQ). Confirmatory Factorial Analysis (CFA) and Latent Class Analysis (LCA) were performed on the O-LIFE and on the association with the GHQ and demographic variables.ResultsCFA replicated the original 4-factor structure of the O-LIFE. Three latent classes (LC) of schizotypal features were identified: participants in LC1 (26% of the total sample) showed minimal level of item endorsement; LC2 accounted for 52% of the sample and showed overall higher item endorsement compared to LC1, especially for disorganization and positive signs of schizotypy, but not for negative affective items. LC3 (22%) showed an overall higher level of item endorsement across schizotypal dimensions, and positive association with psychological distress and family history of psychosis.DiscussionDifferent latent class of schizotypal features can be empirically defined in adolescent community samples. The most extreme class is defined not only by a profile of higher positive replies to the items, but also by anhedonia, high psychological distress, and family history of psychosis. These findings can inform prevention research in schizophrenia.

Heterogeneity of cycloid psychoses: a latent class analysis

2000 ◽  
Vol 30 (3) ◽  
pp. 721-726 ◽  
Author(s):  
RAMIN MOJTABAI
Keyword(s):  
Family History ◽  
Latent Class Analysis ◽  
Affective Disorders ◽  
Latent Class ◽  
Class Analysis ◽  
Relative Paucity ◽  
Cycloid Psychoses ◽  
Affective Symptoms ◽  
History Of ◽  
Nosological Entity

Background. Three hypotheses have been proposed in regard to the origin of cycloid psychoses: (1) they are an independent nosological entity; (2) they are atypical cases of affective disorders; and (3) they are a heterogeneous group of disorders. This study examined the heterogeneity hypothesis by attempting to delineate distinct affective and non-affective subgroups.Methods. In 60 cases drawn from a classic study of cycloid psychoses by Perris (1974), latent class analysis was used to delineate subgroups.Results. Two classes were identified in the analysis: one characterized by the convergence of affective symptoms and family history of affective disorders and the other by the relative paucity of such features.Conclusions. Cycloid psychoses are composed of at least two subgroups, distinguishable on the basis of symptoms and family history.

Latent Class Analysis of Nonsuicidal Self-Injury Among Justice-Involved Juveniles: Association With Motivational and Emotional Aspects of Self-Harm Behavior

2021 ◽  
pp. 009385482199841
Author(s):  
Melinda Reinhardt ◽  
Zsolt Horváth ◽  
Boglárka Drubina ◽  
Gyöngyi Kökönyei ◽  
Kenneth G. Rice
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Juvenile Detention ◽  
Class Analysis ◽  
Detention Centers ◽  
Self Injury ◽  
Class 1 ◽  
Emotional Aspects ◽  
Self Harm ◽  
Nonsuicidal Self Injury

Significantly higher rates of nonsuicidal self-injury (NSSI) have been discovered among justice-involved juveniles. Our study aimed to discriminate homogeneous subgroups of justice-involved youth with different self-harm behavior characteristics based on latent class analysis. A total of 244 adolescents (92.6% boys; Mage = 16.99, SD = 1.28) in Hungarian juvenile detention centers completed measures of NSSI and dissociation. High-NSSI (Class 1; 9%), moderate-NSSI (Class 2; 42.6%), and low-NSSI (Class 3; 48.4%) profiles were detected relating to different forms of NSSI. Multiple comparisons showed that girls were members of Class 1 and 2 at higher rates and these subgroups showed significantly higher dissociation proportions than Class 3. Our findings pointed out diversity in self-harm profiles with different characteristics in terms of methods and severity of self-harm, experienced emotions, and other emotion regulation tendencies among justice-involved adolescents. These results suggest sophisticated treatment approaches to match variations in severity and presentation.

scholarly journals Clusters of the Risk Markers and the Pattern of Premature Coronary Heart Disease: An Application of the Latent Class Analysis

2021 ◽  
Vol 8 ◽  
Author(s):  
Leila Jahangiry ◽  
Mahdieh Abbasalizad Farhangi ◽  
Mahdi Najafi ◽  
Parvin Sarbakhsh
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Latent Class Analysis ◽  
High Probability ◽  
Latent Class ◽  
Class Analysis ◽  
Risk Markers ◽  
History Of ◽  
Opium Addiction ◽  
The Mean

Background: Coronary heart disease (CHD) is the major cause of mortality in the world with a significant impact on the younger population. The aim of this study was to identify prematurity among patients with coronary artery bypass graft surgery (CABG) based on the clustering of CHD risk factors.Methods: Patients were recruited from an existing cohort of candidates for CABG surgery named Tehran Heart Center Coronary Outcome Measurement (THC-COM). A latent class analysis (LCA) model was formed using 11 potential risk factors as binary variables: cigarette smoking, obesity, diabetes, family history of CHD, alcohol use, opium addiction, hypertension, history of stroke, history of myocardial infarction (MI), peripheral vascular disease (PVD), and hyperlipidemia (HLP). We analyzed our data to figure out how the patients are going to be clustered based on their risk factors.Results: For 566 patients who were studied, the mean age (SD) and BMI of patients were 59.1 (8.9) and 27.3 (4.1), respectively. The LCA model fit with two latent classes was statistically significant (G2 = 824.87, df = 21, p &lt; 0.0001). The mean (SD) age of patients for Class I and Class II was 55.66 (8.55) and 60.87 (8.66), respectively. Class I (premature) was characterized by a high probability of smoking, alcohol consumption, opium addiction, and a history of MI (P &lt; 0.05), and class II by a high probability of obesity, diabetes, and hypertension.Conclusion: Latent class analysis calculated two groups of severe CHD with distinct risk markers. The younger group, which is characterized by smoking, addiction, and the history of MI, can be regarded as representative of premature CHD.

Intersectional Discrimination Attributions and Health Outcomes Among American Older Adults: A Latent Class Analysis

2021 ◽  
pp. 009141502110665
Author(s):  
Peiyi Lu ◽  
Dexia Kong ◽  
Mack Shelley ◽  
Joan K. Davitt
Keyword(s):  
Health Outcomes ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Physical Appearance ◽  
Later Life ◽  
National Origin ◽  
Class Analysis ◽  
Discrimination Group ◽  
Class 1 ◽  
High Discrimination

Guided by an intersectionality framework, this study examined intersectional discrimination attributions and their associations with health outcomes. Older respondents (aged ≥50) from the Health and Retirement Study in 2014-2015 were included ( N = 6286). Their reasons for discrimination (age, gender, sexual orientation, race, national origin, religion, financial status, weight, physical appearance, disability, and others) were examined. Latent class analysis examined the subgroup profiles. Six classes were identified: class 1 (54.52% of the sample) had no/minimal discrimination; Class 2 (21.89%) experienced primarily ageism; class 3 (8.81%) reported discrimination based on age/gender/national origin/race; class 4 (7.99%) attributed discrimination to financial/other reasons; class 5 (5.87%) experienced discrimination based on age/weight/physical appearance/disability; and class 6 (0.92%) perceived high discrimination. Intersectional discrimination was associated with poorer self-rated health and higher depressive symptoms compared to the no/minimal discrimination group. Multiple marginalized identities co-occur and contribute to discrimination. An intersectional approach is recommended to understand discrimination in later life.

Work values: a latent class analysis of Korean employees

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jinju Lee ◽  
Yunsoo Lee ◽  
Soo Jung Kim ◽  
Ji Hoon Song
Keyword(s):  
Latent Class Analysis ◽  
Human Resource Development ◽  
Human Resource ◽  
Work Values ◽  
Latent Class ◽  
Assessment Tool ◽  
National Level ◽  
Class Analysis ◽  
Content Type ◽  
Class 1

PurposeThe purpose of this study is to identify latent classes of work values that influence the career choices of Korean workers through a person-centred approach. Because work values may be diverse in individuals, investigating the various combinations of those values will help understand individual's decisions to take, maintain and leave a job.Design/methodology/approachThe authors used a total of 15,103 datasets collected at the national level in South Korea. Data were analyzed by using latent class analysis (LCA); a three-step approach was employed to address classification.FindingsAs the results of this study, Class 3, “seeking balanced work values rather than income,” presented the highest level of job satisfaction, whereas Class 1, “seeking job security and income,” exhibited the lowest.Originality/valueEmploying an assessment tool to identify the distinct combinations of work values that individuals possess and then providing them with appropriate training and development programs and customized Human Resource (HR) policies aligned with the classes will be essential tasks for HRD (Human Resource Development)/HRM (Human Resource Management) practitioners.

scholarly journals Allergic sensitization patterns identified through latent class analysis among children with and without asthma

2016 ◽  
Vol 116 (3) ◽  
pp. 212-218 ◽  
Author(s):  
Qixuan Chen ◽  
Xiaobo Zhong ◽  
Luis Acosta ◽  
Adnan Divjan ◽  
Andrew Rundle ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Allergic Sensitization ◽  
Class Analysis

scholarly journals Applying latent class analysis in the identification of occupational accident patterns

2020 ◽  
Vol 2020 (146) ◽  
pp. 339-355
Author(s):  
Marzena NOWAKOWSKA ◽  
◽  
Michał PAJĘCKI ◽  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Latent Class Model ◽  
Severe Accident ◽  
Occupational Accidents ◽  
Occupational Accident ◽  
Class Analysis ◽  
Data Set ◽  
Pilot Studies ◽  
Individual Record

Purpose: The objective of the study is to use selected data mining techniques to discover patterns of certain recurring mechanisms related to the occurrence of occupational accidents in relation to production processes. Design/methodology/approach: The latent class analysis (LCA) method was employed in the investigation. This statistical modeling technique enables discovering mutually exclusive homogenous classes of objects in a multivariate data set on the basis of observable qualitative variables, defining the class homogeneity in terms of probabilities. Due to a bilateral agreement, Statistics Poland provided individual record-level real data for the research. Then the data were preprocessed to enable the LCA model identification. Pilot studies were conducted in relation to occupational accidents registered in production plants in 2008-2017 in the Wielkopolskie voivodeship. Findings: Three severe accident patterns and two light accident patterns represented by latent classes were obtained. The classes were subjected to descriptive characteristics and labeling, using interpretable results presented in the form of probabilities classifying categories of observable variables, symptomatic for a given latent class. Research limitations/implications: The results from the pilot studies indicate the necessity to continue the research based on a larger data set along with the analysis development, particularly as regards selecting indicators for the latent class model characterization. Practical implications: The identification of occupational accident patterns related to the production process can play a vital role in the elaboration of efficient safety countermeasures that can help to improve the prevention and outcome mitigation of such accidents among workers. Social implications: Creating a safe work environment comprises the quality of life of workers, their families, thus affirming the enterprises' principles and values in the area of corporate social responsibility. Originality/value: The investigation showed that latent class analysis is a promising tool supporting the scientific research in discovering the patterns of occupational accidents. The proposed investigation approach indicates the importance for the research both in terms of the availability of non-aggregated occupational accident data as well as the type of value aggregation of the variables taken for the analysis.

Academic performance and subtypes of psychological traits in undergraduate nursing students: A latent class analysis

2020 ◽  
Author(s):  
Rui Li ◽  
Wanqiong Zhou ◽  
Jing Wu
Keyword(s):  
Nursing Students ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Psychological Capital ◽  
Class Analysis ◽  
Cross Sectional ◽  
Undergraduate Nursing Students ◽  
Psychological Traits ◽  
Undergraduate Nursing ◽  
Class 1

Abstract Background: Undergraduate nursing students often encounter emotional problems due to academic stress. However, researchers have primarily focused on the impact of stressors, rather than understanding the subtypes of psychological state among students.Objectives: To identify subgroups of psychological traits among undergraduate nursing students using latent class analysis (LCA), and to examine the relationship between subgroups and exam failure risk.Design and Methods: A cross-sectional study was performed from May to July 2019. The Ruminative Responses Scale, Learning Burnout Questionnaire and Psychological Capital Scale were used to evaluate students’ psychological traits. Subjects were categorized into subgroups by latent class analysis. Cross-sectional comparisons and longitudinal regression analyses were subsequently performed.Settings and Participants: A total of 379 undergraduate nursing students from three medical colleges in Shanghai were investigated by cluster sampling method.Results: A total of four latent classes were identified based on the mean scores of rumination, learning burnout and psychological capital: Class 1 – General group (N=181, 47.76%); Class 2 – Negative psychologically dominated group (N=54, 14.25%); Class 3 – Positive psychologically dominated group (N=65, 17.15%); and Class 4 – Ambivalence psychological group (N=79, 20.84%). Students belonging into Class 1 and 2 displayed a higher rate of exam failure compared with those in Class 3 and 4 (p<0.05). Regression analysis showed that Class 1 (OR=2.108, 95%CI 1.240-4.118, p=0.006) and Class 2 (OR=2.694, 95%CI 1.229-6.293, p=0.016) independently predicted exam failure among undergraduate nursing students after adjusting for age, gender, grade and other academic related factors.Conclusions: Our findings provide practical implications for effective interventions that target each specific subgroup. Undergraduate nursing students with “Negative psychologically dominated group” were at a higher risk of exam failure. Urgent attention should be paid to address issues associated with psychological coping in students and their effect on learning outcomes.

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