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Examination of the structure of psychopathology using latent class analysis.

Several recent studies using factor analytic methods find that the structure of psychopathology reflects broad internalizing and externalizi … d externalizing psychopathology in participants from the Oregon Adolescent Depression Project using latent class analysis that classifies individuals rather than variables. A 4-class solution best fits the data. The largest class (62.5%) included individuals with relatively little psychopathology; 1 class (16.4%) was largely characterized by internalizing disorders, 1 …

Interferon-gamma release assay for the diagnosis of latent tuberculosis infection: A latent-class analysis.

BACKGROUND: Accurate diagnosis and subsequent treatment of latent tuberculosis infection (LTBI) is essential for TB elimination. However, the absence of a gold standard test for diagnosing LTBI makes assessment of the true prevalence of LTBI and the accuracy of diagnostic tests challenging. Bayesian latent class models can be used to make inferences about disease prevalence and the sensitivity and specificity of diagnostic tests using data on the concordance between tests. We performed the largest meta-analysis to date aiming to evaluate the performance of tuberculin skin test (TST) and interf

Classifying Veterans' pre-pregnancy health risks using latent class analysis.

BACKGROUND: Veterans using Department of Veterans Affairs (VA) healthcare have a high burden of pre-pregnancy chronic disease that likely contributes to the observed high rate of pregnancy-related morbidity. Many common diseases frequently co-occur; understanding patterns of multimorbidity may inform the design and delivery of pre-pregnancy interventions to lower pregnancy morbidity risk. OBJECTIVE: The current study sought to identify patterns of co-occurrence of pre-pregnancy chronic disease among Veterans. DESIGN: We conducted a retrospective cohort study using VA administrative data. ME

Identifying Cardio-Metabolic Subtypes of Prediabetes Using Latent Class Analysis.

Background/Objectives: Prediabetes (PreDM) is a heterogeneous condition, impacting hundreds of millions worldwide, associated with a substantially high risk of Type 2 Diabetes Mellitus (T2DM) and cardiovascular complications. Early identification of subgroups within the PreDM population may support tailored prevention strategies. Methods: We conducted a cross-sectional study using data from annual health check-ups of 419 university staff (aged 27-69) in Kazakhstan. Latent Class Analysis (LCA) was applied to identify subgroups of individuals with PreDM based on cardiovascular risk factors. Diff…

Больше не всегда лучше: анализ данных для анализа скрытых классов.

Все более крупные наборы клинической информации открывают широкие возможности для стратификации пациентов для более индивидуализированного подхода к уходу. Однако эти данные могут быть незначительными и шумными, что требует тщательного рассмотрения их обработки. Здесь мы применяем различные минимальные пороговые значения распространенности к диагностическим кодам в группе пациентов с множественным склерозом. Мы используем эти данные для стратификации пациентов с использованием латентного классового анализа и изучения воздействия различных пороговых значений распространенности на генерируемые к

Совпадение в аннотации оригинала
Increasingly large datasets of clinical information present a significant opportunity to stratify patients for a more personalised approach … nosis codes in a cohort of Multiple Sclerosis patients. We use this data to stratify patients using latent class analysis and examine the effect of different prevalence thresholds on the classes generated. We also examine computation efficiency using several disease-specific datasets.

COVID-19 profiles in general practice: a latent class analysis.

BACKGROUND: General practitioners (GPs) were on the front line of the COVID-19 outbreak. Identifying clinical profiles in COVID-19 might improve patient care and enable closer monitoring of at-risk profiles. OBJECTIVES: To identify COVID-19 profiles in a population of adult primary care patients, and to determine whether the profiles were associated with negative outcomes and persistent symptoms. DESIGN, SETTING AND PARTICIPANTS: In a prospective multicentre study, 44 GPs from multiprofessional primary care practices in the Paris area of France recruited 340 consecutive adult patients (media

Comorbidity profiles of patients experiencing homelessness: A latent class analysis.

Individuals experiencing homelessness are known to have increased rates of healthcare utilization when compared to the average patient popul … eriencing homelessness encountered in the hospitals of ChristianaCare from 2015 to 2019 (N = 3445). Latent class analysis (LCA) was used to identify the comorbidity profiles of homeless patients. The mean age of the study population was 44-year, and the majority were male (63%). The most prevalent comorbid conditions were tobacco use (77%), followed by depression (58%) …

Latent class analysis to characterize neonatal risk for neurodevelopmental differences.

BACKGROUND: Neonatal risk factors, such as preterm birth and low birth weight, have been robustly linked to neurodevelopmental deficits, yet it is still unclear why some infants born preterm and/or low birth weight experience neurodevelopmental difficulties while others do not. The current study investigated this heterogeneity in neurodevelopmental abilities by examining additional neonatal morbidities as risk factors, utilizing latent class analysis to classify neonates into groups based on similar neonatal risk factors, and including neonates from the full spectrum of gestational age. METHO…

Latent Class Analysis of ADHD Neurodevelopmental and Mental Health Comorbidities.

OBJECTIVE: Many children diagnosed with attention-deficit/hyperactivity disorder (ADHD) experience co-occurring neurodevelopmental and psychiatric disorders, and those who do often exhibit higher levels of impairment than children with ADHD alone. This study provides a latent class analysis (LCA) approach to categorizing children with ADHD into comorbidity groups, evaluating condition expression and treatment patterns in each group. METHODS: Parent-reported data from a large probability-based national sample of children diagnosed with ADHD (2014 National Survey of the Diagnosis and Treatment …

Maternal Socioeconomic Mobility and Preterm Delivery: A Latent Class Analysis.

Objective Growing evidence suggests that maternal socioeconomic mobility (SM) is associated with pregnancy outcomes. Our study investigated … ndicators (education, occupation, Medicaid status, and household income) at the time of enrollment. Latent class analysis was used to identify latent classes of childhood SEP indicators, adulthood SEP indicators, and SM from childhood to adulthood, respectively. A model-based approach to latent class analysis with distal outcome assessed relations between latent class …

Psychiatric comorbidity among adults with schizophrenia: a latent class analysis.

Schizophrenia is a severe mental illness that often co-occurs with and can be exacerbated by other psychiatric conditions. There have not been adequate efforts to examine schizophrenia and psychiatric comorbidity beyond pairwise examination using clusters of diagnoses. This study used latent class analysis to characterize patterns of 5-year psychiatric comorbidity among a national sample of adults with schizophrenia. Baseline data from 1446 adults with schizophrenia across 57 sites in the United States were analyzed. Three latent classes were identified labeled Solely Schizophrenia, Comorbid A…

Redefining hemodynamic instability in pheochromocytoma surgery through latent class analysis.

OBJECTIVE: Hemodynamic instability (HDI) during pheochromocytoma surgical resection remains a major anesthesiologic challenge. The definition of HDI is often arbitrary, limiting comparability and risk stratification. We aimed to develop an objective, data-driven classification of intraoperative HDI. METHODS: Hemodynamic variables, including systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), and mean arterial pressure (MAP), were collected at 5 intraoperative time points. Latent class analysis (LCA) was used to classify patients into 2 groups: low-risk (l-HDI) and …

Phenotypic subtypes of Xia-Gibbs syndrome: a latent class analysis.

Xia-Gibbs syndrome (XGS) is a rare neurodevelopmental disorder with considerable clinical heterogeneity. To further characterize the syndrome's heterogeneity, we applied latent class analysis (LCA) on reported cases to identify phenotypic subtypes. By searching PubMed, Embase, China National Knowledge Infrastructure and Wanfang databases from inception to February 2024, we enrolled 97 cases with nonsense, frameshift or missense variants in the AHDC1 gene. LCA was based on the following 6 phenotypes with moderate occurrence and low missingness: ataxia, seizure, autism, sleep apnea, short statur…

Lifestyle behaviors among undergraduate nursing students: A latent class analysis.

This is a cross-sectional study whose objective was to identify clustering of lifestyle behaviors among undergraduate nursing students to in … use, alcohol use, physical activity level, sedentary behavior, and fruits and vegetables consumed). Latent class analysis was performed to identify any clustering of lifestyle behaviors. Descriptive analyses indicated that 3.1% of the students were smokers, 23.1% consumed alcohol, 34.3% were inactive, 85.0% were sedentary, and 80.8% did not consume recommended amounts …

Subphenotypes of ANCA-associated vasculitis identified by latent class analysis.

OBJECTIVES: ANCA-associated vasculitides (AAV) are a heterogeneous group of rare diseases with unknown aetiology and the clinical spectrum r … e MPO-AAV. METHODS: In line with these attempts, we decided to use an unbiased approach offered by latent class analysis (LCA) to subcategorise GPA and MPA in a large cohort of Polish AAV patients included in a multicentre POLVAS registry. RESULTS: LCA of our AAV group identified a four-class model of AAV, including previously proposed three subphenotypes and reveali …

A Latent Class Analysis of Lifetime Victimization Among Homeless Youth.

Homeless youth experience high rates of child physical and sexual abuse, and many are revictimized on the streets. Despite their high rates … llected at two time points. The sample included 150 youth experiencing homelessness in the Midwest. Latent class analysis was used to identify clusters of youth. Three latent classes emerge: The low exposure class had significantly lower rates of child physical and emotional abuse and threats compared with the medium- and high-exposure groups. The high exposure group h …

Classification of childhood onset eating disorders: A latent class analysis.

This study tested the hypothesis that latent class analysis (LCA) would successfully classify eating disorder (ED) symptoms in children into categories that mapped onto DSM-5 diagnoses and that these categories would be consistent across countries. Childhood onset ED cases were ascertained through prospective active surveillance by the Australian Paediatric Surveillance Unit, the Canadian Paediatric Surveillance Program, and the British Paediatric Surveillance Unit for 36, 24, and 14 months, respectively. Pediatricians and child psychiatrists reported symptoms of any child aged ≤ 12 years with…

Internet Gamblers Differ on Social Variables: A Latent Class Analysis.

Online gambling has gained popularity in the last decade, leading to an important shift in how consumers engage in gambling and in the factors related to problem gambling and prevention. Indebtedness and loneliness have previously been associated with problem gambling. The current study aimed to characterize online gamblers in relation to indebtedness, loneliness, and several in-game social behaviors. The data set was obtained from 584 Internet gamblers recruited online through gambling websites and forums. Of these gamblers, 372 participants completed all study assessments and were included i

A Personality-Based Latent Class Analysis of Emerging Adult Gamblers.

Increases in access to gambling venues have been accompanied by increased gambling behavior among young adults. The present research examined associations among Five Factor Model personality traits, motives for gambling, and gambling behavior and problems using latent class analysis. College students (N = 220) completed online measures of personality and gambling behavior as part of a larger intervention trial. Agreeableness and conscientiousness were negatively associated with indicators of gambling behavior. Low agreeableness and high neuroticism were associated with gambling-specific motive…

Latent Class Analysis: Insights about design and analysis of schistosomiasis diagnostic studies.

Various global health initiatives are currently advocating the elimination of schistosomiasis within the next decade. Schistosomiasis is a highly debilitating tropical infectious disease with severe burden of morbidity and thus operational research accurately evaluating diagnostics that quantify the epidemic status for guiding effective strategies is essential. Latent class models (LCMs) have been generally considered in epidemiology and in particular in recent schistosomiasis diagnostic studies as a flexible tool for evaluating diagnostics because assessing the true infection status (via a go