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Predictive typology of subjective quality of life among participants with severe mental disorders after a five-year follow-up: a longitudinal two-step cluster analysis

Overview of attention for article published in Health and Quality of Life Outcomes, September 2015
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Title
Predictive typology of subjective quality of life among participants with severe mental disorders after a five-year follow-up: a longitudinal two-step cluster analysis
Published in
Health and Quality of Life Outcomes, September 2015
DOI 10.1186/s12955-015-0346-x
Pubmed ID
Authors

Marie-Josée Fleury, Guy Grenier, Jean-Marie Bamvita

Abstract

This study aims to create a predictive typology of quality of life at five-year follow-up of 204 individuals with severe mental disorders, according to clinical, socio-demographic, and health service use variables. Participant typology was carried out by means of two-step cluster analysis. Independent variables were measured at T0 and subjective quality of life (SQOL) at T2. Analysis yielded four classes. SQOL at T2 was higher than the mean in Class 4 ("Older, poorly educated single men living in supervised housing, with psychotic disorders but with few serious needs, receiving substantial help from services") and lower than the mean in Class 2 ("Young females with serious needs and co-occurring mental and addiction disorders living in independent apartments"). Given that predictive SQOL varies in relation to combinations of associated variables, it would be useful for treatments or service programs to target specific predictors to the different profiles.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Master 7 16%
Researcher 7 16%
Student > Doctoral Student 5 11%
Student > Postgraduate 2 5%
Other 2 5%
Unknown 12 27%
Readers by discipline Count As %
Medicine and Dentistry 12 27%
Psychology 7 16%
Nursing and Health Professions 3 7%
Neuroscience 2 5%
Social Sciences 2 5%
Other 2 5%
Unknown 16 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 September 2015.
All research outputs
#18,427,608
of 22,829,083 outputs
Outputs from Health and Quality of Life Outcomes
#1,669
of 2,158 outputs
Outputs of similar age
#197,354
of 274,256 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#34
of 53 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.