Latent class analysis Dotaz Zobrazit nápovědu
Background: Although trauma exposure is universally prevalent, the ways in which individuals respond to potentially traumatic events vary. Between-country differences have been identified as affecting the development and manifestation of transdiagnostic psychological symptoms, but it remains unclear how stress and trauma-related transdiagnostic symptoms and risk patterns differ based on geographic region.Objective: To explore whether there are distinct classes of stress and trauma-related transdiagnostic symptoms and to determine predictors of class membership in a global sample.Method: Participants (N = 8675) from 115 different countries were recruited online between 2020-2022 and completed the Global Psychotrauma Screen, which assesses stress and trauma exposure, related symptoms, and risk factors. A latent class analysis (LCA) was used to identify classes of stress and trauma-related symptoms per world region (African States, Asia-Pacific States, Eastern European States, Latin American and Caribbean States, Western European and Other States, and North America) and the total sample. Likelihood of class membership was assessed based on demographics, characteristics of the potentially traumatic event, and potential risk factors across the world regions.Results: Similar class compositions were observed across regions. A joint latent class analysis identified three classes that differed by symptom severity (i.e. high, moderate, low). Multinomial logistic regression analyses revealed several factors that conferred greater risk for experiencing higher levels of symptoms, including geographic region, gender, and lack of social support, among others.Conclusions: Stress and trauma-related symptoms seem to be similarly transdiagnostic across the world, supporting the value of a transdiagnostic assessment.
- MeSH
- analýza latentních tříd MeSH
- lidé MeSH
- posttraumatická stresová porucha * diagnóza epidemiologie psychologie MeSH
- rizikové faktory MeSH
- sociální opora MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Asie MeSH
Ciele. Štúdia sa zaoberala analýzou latentných tried rizikového správania žiaka v škole s cieľom poskytnúť praktickú interpretáciu hrubých skóre ako aj identifikovať relevantné prediktory členstva v latentných skupinách. Za týmto účelom bola realizovaná psychometrická analýza škály s využitím IRT. Výskumný súbor. Vzorku tvorilo 2 927 žiakov z 205 škôl. Z toho bolo 1 441 chlapcov (49,2 %) a 1 486 dievčat (50,8 %). Vekový rozsah bol od 7 do 15 rokov, M = 11,26 (SD = 2,55). Jedná sa o reprezentatívnu vzorku (náhodný proporčný výber) žiakov základných škôl SR. Štatistická analýza. Autori overovali konfirmačne jednodimenzionálnu faktorovú štruktúru revidovanej škály. Na overenie jednodimenzionality, lokálnej nezávislosti a monotónnej homogenity bola použitá neparametrická IRT Mokkenova analýza. Po týchto analýzach bola realizovaná IRT analýza latentných tried a identifikovaný najvhodnejší model. Výsledky. Na základe psychometrickej analýzy sa ukázalo vhodné skrátiť pôvodnú 46-položkovú škálu na 31-položkovú, ktorá má veľmi dobrú reliabilitu, škálovateľnosť, silný spoločný faktor a jednodimenzionalitu. Následne boli analýzou latentných tried identifikované 4 latentné skupiny, pričom rod a čiastočne aj vek sa ukazujú relevantnými prediktormi členstva v týchto skupinách. Autori ponúkajú aj praktické odporúčanie a varovanie pre interpretovanie hrubých skóre na kategorizáciu žiakov. Obmedzenia štúdie. Bude vhodné do budúcna nezávisle overiť charakteristiky skrátenej škály rizikového správania žiaka na novej vzorke, a bolo by potrebné škálu externe validizovať, keďže ide o hodnotenia učiteľov.
Objectives. Aim of the study was the analysis of latent classes of student school risk behavior and to provide usefull interpretation of raw scores as well as identifying relevant predictors of latent classes. To this aim a detailed psychometric analysis of the scale using IRT approach was also used. Sample and setting. The reasearch sample included 2927 pupils from 205 elementary schools, 1441 were boys (49.2%) and 1486 were girls (50.8%). Age ranged from 7 to 15 years, M=11.26 (SD=2.55). It was a representative national sample (proportional random sample) of elementary school students from Slovakia. Statistical analyses. To assess unidimensionality, local independence and monotone homogeneity, a non-parametric Mokken scale analysis was used. An IRT confirmatory factor analysis was conducted to assess the fit of the model. An IRT latent class analyses followed to identify the model with the best fit to data. Results. Based on psychometric analysis of the scale a shortened version (from 46 items to 31 items) proved useful, and showed very good reliability. scalability, strong single factor and unidimensionality. After conducting a latent class analysis, the authors were able to identify 4 latent classes of students assessed with risk school behavior by their teachers, where age and gender were identified as significant predictors of latent class membership. The authors also provide practical guidelines for interpreting raw scores. Study limitation. It will be usefull in the future to confirm the characteristics of the shortened scale of students’ school risk behavior on a new sample, and to perform an external validation of the scale.
- MeSH
- chování mladistvých klasifikace MeSH
- dítě MeSH
- faktorová analýza statistická MeSH
- hodnocení rizik statistika a číselné údaje MeSH
- interpretace statistických dat MeSH
- lidé MeSH
- mladiství MeSH
- počítačová simulace MeSH
- poruchy sociálního chování * klasifikace psychologie MeSH
- psychometrie metody MeSH
- školy MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
BACKGROUND: Several natural history studies on primary progressive multiple sclerosis (PPMS) patients detected a consistent heterogeneity in the rate of disability accumulation. OBJECTIVES: To identify subgroups of PPMS patients with similar longitudinal trajectories of Expanded Disability Status Scale (EDSS) over time. METHODS: All PPMS patients collected within the MSBase registry, who had their first EDSS assessment within 5 years from onset, were included in the analysis. Longitudinal EDSS scores were modeled by a latent class mixed model (LCMM), using a nonlinear function of time from onset. LCMM is an advanced statistical approach that models heterogeneity between patients by classifying them into unobserved groups showing similar characteristics. RESULTS: A total of 853 PPMS (51.7% females) from 24 countries with a mean age at onset of 42.4 years (standard deviation (SD): 10.8 years), a median baseline EDSS of 4 (interquartile range (IQR): 2.5-5.5), and 2.4 years of disease duration (SD: 1.5 years) were included. LCMM detected three different subgroups of patients with a mild ( n = 143; 16.8%), moderate ( n = 378; 44.3%), or severe ( n = 332; 38.9%) disability trajectory. The probability of reaching EDSS 6 at 10 years was 0%, 46.4%, and 81.9% respectively. CONCLUSION: Applying an LCMM modeling approach to long-term EDSS data, it is possible to identify groups of PPMS patients with different prognosis.
- MeSH
- analýza latentních tříd * MeSH
- Bayesova věta MeSH
- chronicko-progresivní roztroušená skleróza diagnóza patologie MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- longitudinální studie MeSH
- následné studie MeSH
- opožděná diagnóza MeSH
- postižení MeSH
- posuzování pracovní neschopnosti * MeSH
- prognóza MeSH
- progrese nemoci * MeSH
- prospektivní studie MeSH
- registrace * MeSH
- sexuální faktory MeSH
- věkové faktory MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: Over the decades, several natural history studies on patients with primary (PPMS) or secondary progressive multiple sclerosis (SPMS) were reported from international registries. In PPMS, a consistent heterogeneity on long-term disability trajectories was demonstrated. The aim of this study was to identify subgroups of patients with SPMS with similar longitudinal trajectories of disability over time. METHODS: All patients with MS collected within Big MS registries who received an SPMS diagnosis from physicians (cohort 1) or satisfied the Lorscheider criteria (cohort 2) were considered. Longitudinal Expanded Disability Status Scale (EDSS) scores were modelled by a latent class growth analysis (LCGA), using a non-linear function of time from the first EDSS visit in the range 3-4. RESULTS: A total of 3613 patients with SPMS were included in the cohort 1. LCGA detected three different subgroups of patients with a mild (n=1297; 35.9%), a moderate (n=1936; 53.6%) and a severe (n=380; 10.5%) disability trajectory. Median time to EDSS 6 was 12.1, 5.0 and 1.7 years, for the three groups, respectively; the probability to reach EDSS 6 at 8 years was 14.4%, 78.4% and 98.3%, respectively. Similar results were found among 7613 patients satisfying the Lorscheider criteria. CONCLUSIONS: Contrary to previous interpretations, patients with SPMS progress at greatly different rates. Our identification of distinct trajectories can guide better patient selection in future phase 3 SPMS clinical trials. Additionally, distinct trajectories could reflect heterogeneous pathological mechanisms of progression.
We used data from the 2014 National Youth Tobacco Survey to examine patterns of cigarette smoking behavior and tobacco use. In light of the recent upsurge in e-cigarette use, we modeled current use and future intentions to use vape products along with combustible cigarette smoking and other tobacco products (i.e., cigars, cigarillos, chew, snuff, and dip). Latent class analyses indicated four discrete classes of smokers including a nominally involved class with very modest levels of tobacco product use, a class blending e-cigarette and cigars, a class of youth who predominantly use combustible cigarettes, and a group reporting indiscriminate use of almost all tobacco products excluding chew. Tests of invariance in item response probabilities and latent class proportions showed little variation across race and gender, albeit a new class of combustible cigarette and e-cigarette users emerged when examined by grade. Members of the heavy smoking and tobacco use class were more likely to be male, White, and older. Predictors of class membership included expectancies (perceived benefits of use), perceived harm (risk), media exposure, tobacco dependence, and the desire to quit. Findings are discussed in terms of characterizing risk among already smoking youth and how actionable prevention measures can be incorporated into existing universal and indicated programs that target reducing tobacco use and smoking behaviors.
- MeSH
- analýza latentních tříd MeSH
- kouření cigaret epidemiologie MeSH
- kouření tabáku trendy MeSH
- lidé MeSH
- mladiství MeSH
- poruchy vyvolané užíváním tabáku epidemiologie MeSH
- rasové skupiny MeSH
- sexuální faktory MeSH
- socioekonomické faktory MeSH
- systémy dodávající nikotin elektronicky MeSH
- tabákové výrobky MeSH
- vaping epidemiologie MeSH
- věkové faktory MeSH
- Check Tag
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Spojené státy americké MeSH
The most common approach to assess fetal well-being during delivery is monitoring of fetal heart rate and uterine contractions-the cardiotocogram (CTG). Nevertheless, 40years since the introduction of CTG to clinical practice, its evaluation is still challenging with high inter- and intra-observer variability. Therefore the development of more objective methods has become an issue of major importance in the field. Unlike the usually proposed approaches to assign classes for classification methods that rely either on biochemical parameters (e.g. pH value) or a simple aggregation of expert judgment, this work investigates the use of an alternative labeling system using latent class analysis (LCA) along with an ordinal classification scheme. The study is performed on a well-documented open-access database, where nine expert obstetricians provided CTG annotations. The LCA is proposed here to produce more objective class labels while the ordinal classification aims to explore the natural ordering, and representation of increased severity, for obtaining the final results. The results are promising suggesting that more effort should be put into this proposed approach.
Background/Objective: Emotional dysregulation (ED) is a dimensional psychological domain, previously operationalized by instruments of the Achenbach System of Empirically Based Assessment (ASEBA) for children and adolescents; however, its cross-cultural and bottom-up characteristics among adult populations are still unknown. Method: We examined scores obtained on the Adult Self-Report (ASR) by 9,238 18- to 59-year-olds from 10 societies that differed in social, economic, geographic, and other characteristics. A Latent Class Analysis was performed on the data from each society. Results: In each society, a dysregulated class (DYS) was identified, which was characterized by elevated scores on most ASR syndromes. The mean prevalence of DYS was 9.2% (6.1-12.7%). The best models ranged from three to five latent classes in the different societies. Conclusions: Although the number of identified classes and the prevalence of ED varied across societies, a DYS class was found in each society, suggesting the need to adopt a dimensional view of psychopathology and a cross cultural perspective also in adult populations.
- Publikační typ
- časopisecké články MeSH
Individuals use a variety of strategies to manage their thoughts, emotions, and behaviors across the lifespan. In this study, we used latent class analysis to derive distinct subtypes of self-management skills in early adolescence and latent transition analysis to examine whether movement between different classes was associated with later young adult alcohol use. Assessments of behavioral self-control, affective self-regulation, and cognitive self-reinforcement were obtained in the seventh and 10th grades from students participating in two independent drug prevention trials (control group participants only, N = 3,939). Assessment of alcohol use was obtained when participants were young adults (23-26). A model distinguishing four subtypes of self-management skills fit best for both the seventh and 10th grades. While findings indicated modest stability in class structure over time, maintaining class membership characterized by high cognitive self-reinforcement and high affective self-regulation was consistently protective in terms of young adult alcohol use relative to movement from this to other classes. Transitions in class membership involving an expansion of self-management strategies were protective and associated with lower levels of young adult alcohol use and transitions involving a contraction of self-management strategies associated with higher young adult alcohol use. This study illustrates the important use of person-centered techniques to exemplify how typologies of self-management during adolescence can play a protective role in young adult alcohol use.
This article considers customer typology in fitness centres. The main aim of our survey is to state the basic segments of fitness customers and create their typology. A survey was conducted on a sample of 1004 respondents from 48 fitness centres. We used questionnaires and latent class analysis for the assessment and interpretation of data. The results of our research are as follows: we identified 6 segments of typical customers, of which three are male (we called them student, shark, mature) and three are female (manager, hunter, and student). Each segment is influenced primarily by the age of customers, from which we can develop further characteristics, such as education, income, marital status, etc. Male segments use the main workout area above all, whilst female segments use a much wider range of services offered, for example group exercises, personal training, and cardio theatres.
- Klíčová slova
- typologie, zákazník, segmentace,
- MeSH
- analýza latentních tříd MeSH
- dospělí MeSH
- fitness centrum * MeSH
- interpretace statistických dat MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- průzkumy a dotazníky MeSH
- výzkum * statistika a číselné údaje MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- práce podpořená grantem MeSH
BACKGROUND: In today's digital age, demanding to interpret vast quantities of visual information with speed and accuracy, nonverbal Intelligence has become increasingly crucial for children, as it plays a key role in cognitive development and learning. While motor proficiency has been positively linked to various cognitive functions in children, its relationship with nonverbal Intelligence remains an open question. This study, therefore, explored the structural associations between motor proficiency and nonverbal Intelligence in school-aged children (6 to 11 years), focusing on potential age and sex-specific patterns. METHODS: Data were obtained from 396 children aged 6 to 11 (214 boys, 182 girls; mean age 8.9 years ±1.3) divided into younger children 6-8 years and older Children 9-11 years. Motor proficiency was assessed using the Bruininks-Oseretsky Test of Motor Proficiency, Second Edition (BOT-2), and non-verbal Intelligence was evaluated with the Raven Progressive Matrices (RPM). We conducted multigroup structural modelling with non-verbal Intelligence as a dependent latent variable. RESULTS: The BOT-2 and RPM models demonstrated an acceptable fit in Czech children. Strength-agility and Fine motor control emerged as the strongest predictors of nonverbal intelligence level assessed by five sets of RPM. Age-specific analyses revealed that the Strength-agility construct was consistently a significant predictor of nonverbal intelligence level in both age categories. However, in older children, also Fine motor control was significantly linked to nonverbal intelligence level. Sex-specific differences were also observed in the structural modelling results, indicating significant predictor non-invariance based on participants' sex. In girls, both Fine motor control and the Strength-agility constructs were significant predictors of nonverbal Intelligence level, showing stronger associations with nonverbal Intelligence than boys. For boys, only the Strength-agility construct was a significant predictor of RPM performance. CONCLUSION: This study reveals a nuanced age- and sex-specific relationship between children's motor proficiency and nonverbal Intelligence. The findings underscore the need for targeted physical interventions, particularly those emphasising fine motor and strength-agility exercises, to ensure equitable opportunities for motor skill development. Such interventions may enhance physical abilities and support cognitive development in an increasingly digital world.
- MeSH
- analýza latentních tříd MeSH
- dítě MeSH
- inteligence * fyziologie MeSH
- lidé MeSH
- motorické dovednosti * fyziologie MeSH
- sexuální faktory MeSH
- věkové faktory MeSH
- vývoj dítěte fyziologie MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika MeSH
