Adolescent loneliness and psychiatric morbidity in the general population: Identifying “at risk” groups using latent class analysis

2014 ◽  
Vol 68 (8) ◽  
pp. 633-639 ◽  
Author(s):  
Mark Shevlin ◽  
Siobhan Murphy ◽  
Jamie Murphy
Medical Care ◽  
2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Melissa L. McCarthy ◽  
Zhaonian Zheng ◽  
Marcee E. Wilder ◽  
Angelo Elmi ◽  
Paige Kulie ◽  
...  

2019 ◽  
Vol 51 (4) ◽  
pp. 585-596
Author(s):  
Rebecca P. Ang ◽  
Xiang Li ◽  
Vivien S. Huan ◽  
Gregory Arief D. Liem ◽  
Trivina Kang ◽  
...  

2013 ◽  
Vol 38 (11) ◽  
pp. 2782-2786 ◽  
Author(s):  
Martina Casey ◽  
Gary Adamson ◽  
Maurice Stringer

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 ◽  
...  

2013 ◽  
Author(s):  
Amanda Taylor ◽  
Alan C. Acock ◽  
Brian Flay ◽  
David Kerr ◽  
Sam Vuchinich ◽  
...  

2011 ◽  
Vol 41 (10) ◽  
pp. 2201-2212 ◽  
Author(s):  
S. Weich ◽  
O. McBride ◽  
D. Hussey ◽  
D. Exeter ◽  
T. Brugha ◽  
...  

BackgroundPsychiatric co-morbidity is complex and ubiquitous. Our aim was to describe the extent, nature and patterning of psychiatric co-morbidity within a representative sample of the adult population of England, using latent class analysis.MethodData were used from the 2007 Adult Psychiatric Morbidity Survey, a two-phase national household survey undertaken in 2007 comprising 7325 participants aged 16 years and older living in private households in England. The presence of 15 common mental health and behavioural problems was ascertained using standardized clinical and validated self-report measures, including three anxiety disorders, depressive episode, mixed anxiety depressive disorder, psychosis, antisocial and borderline personality disorders, eating disorders, post-traumatic stress disorder, attention deficit disorder, alcohol and drug dependencies, problem gambling and attempted suicide.ResultsA four-class model provided the most parsimonious and informative explanation of the data. Most participants (81.6%) were assigned to a non-symptomatic or ‘Unaffected’ class. The remainder were classified into three qualitatively different symptomatic classes: ‘Co-thymia’ (12.4%), ‘Highly Co-morbid’ (5.0%) and ‘Addictions’ (1.0%). Classes differed in mean numbers of conditions and impairments in social functioning, and these dimensions were correlated.ConclusionsOur findings confirm that mental disorders typically co-occur and are concentrated in a relatively small number of individuals. Conditions associated with the highest levels of disability, mortality and cost – psychosis, suicidality and personality disorders – are often co-morbid with more common conditions. This needs to be recognized when planning services and when considering aetiology.


2013 ◽  
Vol 20 (4) ◽  
pp. 159-166 ◽  
Author(s):  
Hans-Jürgen Rumpf ◽  
Ad A. Vermulst ◽  
Anja Bischof ◽  
Nadin Kastirke ◽  
Diana Gürtler ◽  
...  

2017 ◽  
Vol 52 (6) ◽  
pp. 573-584 ◽  
Author(s):  
Baptiste Pignon ◽  
Hugo Peyre ◽  
Andrei Szöke ◽  
Pierre A Geoffroy ◽  
Benjamin Rolland ◽  
...  

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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