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Predictors of quality of life in a longitudinal study of users with severe mental disorders

Overview of attention for article published in Health and Quality of Life Outcomes, June 2013
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Predictors of quality of life in a longitudinal study of users with severe mental disorders
Published in
Health and Quality of Life Outcomes, June 2013
DOI 10.1186/1477-7525-11-92
Pubmed ID
Authors

Marie-Josée Fleury, Guy Grenier, Jean-Marie Bamvita, Jacques Tremblay, Norbert Schmitz, Jean Caron

Abstract

BACKGROUND: Since the end of the 20th century, quality of life has become a key outcome indicator in planning and evaluation of health services. From a sample of 297 users with severe mental disorders from Montreal (Canada), this study aimed to identify the key predictors of subjective quality of life (SQOL). METHODS: Users were recruited and interviewed from December 2008 to September 2010 and re-interviewed approximately 18 months later. A comprehensive framework including socio-demographic data, clinical, needs and functionality variables, negative life events, social support and healthcare service use, and appreciation data were considered as predictors. Clinical records and eight standardized instruments were used. RESULTS: Lower severity of needs, schizophrenia, better social integration, better reassurance of worth, fewer drug abuse problems, and living in supervised housing are predictors of SQOL. With regard to needs, absence or lower severity of needs in the areas of company, daytime activities, social exclusion, safety to self, and benefits are linked to SQOL. CONCLUSION: Reducing the severity of needs is especially beneficial to ensure a higher SQOL for users with severe mental disorders. To improve SQOL, priority must be given to programs and interventions that promote the development of a stimulating and supportive social network, and maintain a plurality of residential services matching the functional abilities of users.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
South Africa 1 <1%
Unknown 150 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 20%
Student > Ph. D. Student 18 12%
Researcher 14 9%
Other 10 7%
Student > Doctoral Student 10 7%
Other 27 18%
Unknown 44 29%
Readers by discipline Count As %
Psychology 32 21%
Medicine and Dentistry 31 20%
Social Sciences 13 8%
Nursing and Health Professions 12 8%
Sports and Recreations 4 3%
Other 13 8%
Unknown 48 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 June 2013.
All research outputs
#15,740,505
of 25,374,917 outputs
Outputs from Health and Quality of Life Outcomes
#1,227
of 2,297 outputs
Outputs of similar age
#119,323
of 209,810 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#16
of 35 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,297 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 209,810 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.