scholarly journals Occurence of Internet Addiction in a General Population Sample: A Latent Class Analysis

2013 ◽  
Vol 20 (4) ◽  
pp. 159-166 ◽  
Author(s):  
Hans-Jürgen Rumpf ◽  
Ad A. Vermulst ◽  
Anja Bischof ◽  
Nadin Kastirke ◽  
Diana Gürtler ◽  
...  
Keyword(s):  
General Population ◽  
Latent Class Analysis ◽  
Internet Addiction ◽  
Latent Class ◽  
Population Sample ◽  
Class Analysis ◽  
General Population Sample

scholarly journals Clustering of eating disorder symptoms in a general population female twin sample: a latent class analysis

2007 ◽  
Vol 37 (8) ◽  
pp. 1097-1107 ◽  
Author(s):  
ALEXIS E. DUNCAN ◽  
KATHLEEN KEENAN BUCHOLZ ◽  
ROSALIND J. NEUMAN ◽  
ARPANA AGRAWAL ◽  
PAMELA A. F. MADDEN ◽  
...  
Keyword(s):  
Eating Disorder ◽  
Weight Gain ◽  
General Population ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Population Sample ◽  
Optimal Solution ◽  
Class Analysis ◽  
Low Weight ◽  
Dsm Iv

ABSTRACTBackgroundPrevious studies have reported that the current DSM-IV eating disorder (ED) criteria do not adequately describe ED symptomatology. The objective of the current study was to examine the clustering of ED symptoms in a general population sample using latent class analysis (LCA).MethodED symptoms from 3723 female young adult twins (mean age 22) were analyzed using LCA, and resulting classes were compared on external validators reflecting ED and other co-morbid psychiatric diagnoses, substance use disorders (SUDs), and suicidality.ResultsThe optimal solution consisted of five latent classes characterized as: (1) Unaffected; (2) Low Weight Gain; (3) Weight Concerned; (4) Dieters; and (5) ED. Members of the ED class had significantly higher prevalence of co-morbid psychiatric disorders, SUDs, and suicidality than the Unaffected and Low Weight Gain classes, and elevated rates of suicidality and major depression compared to the Weight Concerned and Dieter classes, which differed from each other primarily in terms of current body mass index (BMI). Dieter class members were more likely to be overweight and obese and less likely to be underweight than Weight Concerned class members. The majority of women with an ED diagnosis were assigned to the ED class, and few differences were found between ED class members with and without an ED diagnosis.ConclusionsThe results add to the evidence that many women with significant ED psychopathology are not being identified by the DSM-IV ED categories.

Empirical derived AUD sub types in the US general population: A latent class analysis

2013 ◽  
Vol 38 (11) ◽  
pp. 2782-2786 ◽  
Author(s):  
Martina Casey ◽  
Gary Adamson ◽  
Maurice Stringer
Keyword(s):  
General Population ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
The Us

Latent class analysis of the Apathy Scale does not identify subtypes of apathy in general population-based older persons

2016 ◽  
Vol 31 (9) ◽  
pp. 1021-1028 ◽  
Author(s):  
Isis Groeneweg-Koolhoven ◽  
Lotte J. Huitema ◽  
Margot W. M. de Waal ◽  
Max L. Stek ◽  
Jacobijn Gussekloo ◽  
...  
Keyword(s):  
General Population ◽  
Latent Class Analysis ◽  
Older Persons ◽  
Latent Class ◽  
Population Based ◽  
Class Analysis

Latent Class Analysis of ADHD and Comorbid Symptoms in a Population Sample of Adolescent Female Twins

2001 ◽  
Vol 42 (7) ◽  
pp. 933-942 ◽  
Author(s):  
Rosalind J. Neuman ◽  
Andrew Heath ◽  
Wendy Reich ◽  
Kathleen K. Bucholz ◽  
Pamela A. F. Madden ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Population Sample ◽  
Adolescent Female ◽  
Class Analysis

scholarly journals Latent Structure of Combined Autistic and ADHD Symptoms in Clinical and General Population Samples: A Scoping Review

2021 ◽  
Vol 12 ◽  
Author(s):  
Aneta D. Krakowski ◽  
Peter Szatmari ◽  
Jennifer Crosbie ◽  
Russell Schachar ◽  
Eric Duku ◽  
...  
Keyword(s):  
Factor Analysis ◽  
General Population ◽  
Scoping Review ◽  
Latent Class ◽  
Population Sample ◽  
Autism Spectrum ◽  
General Population Sample ◽  
Adhd Symptoms ◽  
Inclusion Criteria ◽  
Hyperactivity Disorder

Background: Many phenotypic studies have estimated the degree of comorbidity between Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), but few have examined the latent, or unobserved, structure of combined ASD and ADHD symptoms. This is an important perquisite toward better understanding the overlap between ASD and ADHD.Methods: We conducted a scoping review of studies that examined the factor or latent class structure of ASD and ADHD symptoms within the same clinical or general population sample.Results: Eight studies met final inclusion criteria. Four factor analysis studies found that ASD and ADHD domains loaded separately and one found that some ASD and ADHD domains loaded together. In the three latent class studies, there were evidence of profiles with high levels of co-occurring ASD and ADHD symptoms.Conclusions: Our scoping review provides some evidence of phenotypic overlap between ASD and ADHD at the latent, or unobserved, level, particularly when using a “person-centered” (latent class analysis) vs. a “variable-centered” (factor analysis) approach.

Chronic fatigue in a population sample: definitions and heterogeneity

2005 ◽  
Vol 35 (9) ◽  
pp. 1337-1348 ◽  
Author(s):  
PATRICK F. SULLIVAN ◽  
NANCY L. PEDERSEN ◽  
ANDREAS JACKS ◽  
BIRGITTA EVENGÅRD
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Population Sample ◽  
Empirical Support ◽  
Population Level ◽  
Chronic Fatigue ◽  
Case Definition ◽  
Class Analysis ◽  
Analytic Group ◽  
Fatigue Syndrome

Background. Numerous nosological decisions are made when moving from the common human symptom of unusual fatigue to the rare chronic fatigue syndrome (CFS). These decisions have infrequently been subjected to rigorous evaluation.Method. We obtained telephone interview data on fatiguing symptoms from 31406 individuals twins in the Swedish Twin Registry aged 42–64 years; 5330 subjects who endorsed fatigue and possessed no exclusionary condition formed the analytic group. We evaluated the definition and classification of CFS-like illness using graphical methods, regression models, and latent class analysis.Results. Our results raise fundamental questions about the 1994 Centers for Disease Control criteria as (1) there was no empirical support for the requirement of four of eight cardinal CFS symptoms; (2) these eight symptoms were not equivalent in their capacity to predict fatigue; and (3) no combination of symptoms was markedly more heritable. Critically, latent class analysis identified a syndrome strongly resembling CFS-like illness.Conclusions. Our data are consistent with the ‘existence’ of CFS-like illness although the dominant nosological approach captures population-level variation poorly. We suggest that studying a more parsimonious case definition – impairing chronic fatigue not due to a known cause – would represent a way forward.

A latent class analysis of psychotic symptoms in the general population

2017 ◽  
Vol 52 (6) ◽  
pp. 573-584 ◽  
Author(s):  
Baptiste Pignon ◽  
Hugo Peyre ◽  
Andrei Szöke ◽  
Pierre A Geoffroy ◽  
Benjamin Rolland ◽  
...  
Keyword(s):  
General Population ◽  
Latent Class Analysis ◽  
Mental Health Treatment ◽  
Latent Class ◽  
Psychotic Disorders ◽  
Social Deprivation ◽  
Psychotic Symptoms ◽  
Class Analysis ◽  
Clinical Correlates ◽  
High Prevalence

Objective: Individuals with psychotic symptoms may actually correspond to various subgroups, characterized by different patterns of psychotic symptoms as well as specific sociodemographic and clinical correlates. We aimed to identify groups of individuals from the general population with specific patterns of psychotic symptoms. Methods: In a 38,694-subject survey, a latent class analysis was performed to identify subgroups based on the distribution of seven psychotic symptoms taken from the Mini International Neuropsychiatric Interview. The different classes were subsequently compared according to sociodemographic and clinical correlates. Results: The best fit was obtained with a four-class solution, including the following: (1) a class with a low prevalence of all psychotic symptoms (‘LOW’, 85.9%); (2) a class with a high prevalence of all psychotic symptoms (‘HAL + DEL’, 1.7%); and classes with a high prevalence of (3) hallucinations (‘HAL’, 4.5%) or (4) delusions (‘DEL’, 7.9%). The HAL + DEL class displayed higher rates of history of trauma, social deprivation and migrant status, while the HAL and DEL classes displayed intermediate rates between HAL + DEL and LOW. HAL + DEL displayed the highest rates of psychotic and non-psychotic disorders and the use of mental health treatment, while HAL and DEL displayed intermediate rates of these disorders between HAL + DEL and LOW. In comparison to the HAL class, psychotic and substance use disorders were more frequent in the DEL class, while anxiety and mood disorders were less frequent. Conclusion: These findings support the hypothesis of a continuum model relating the level of psychotic symptoms to the level of global psychopathology.

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