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Investigating the roles of loneliness and clinician- and self-rated depressive symptoms in predicting the subjective quality of life among people with psychosis

Overview of attention for article published in Social Psychiatry and Psychiatric Epidemiology, December 2017
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Title
Investigating the roles of loneliness and clinician- and self-rated depressive symptoms in predicting the subjective quality of life among people with psychosis
Published in
Social Psychiatry and Psychiatric Epidemiology, December 2017
DOI 10.1007/s00127-017-1470-1
Pubmed ID
Authors

Piotr Świtaj, Paweł Grygiel, Anna Chrostek, Jacek Wciórka, Marta Anczewska

Abstract

To examine the roles of loneliness and clinician- and self-rated depressive symptoms as predictors of the subjective quality of life (QoL) in psychosis. This cross-sectional study was conducted on a sample of 207 patients diagnosed with psychotic disorders. They were assessed with self-reported measures of QoL, loneliness and depression and with clinician-rated measures of depression and overall psychopathology. Multiple indicators multiple causes (MIMIC) modeling was used to analyze the data. Both loneliness and depression turned out to be independent predictors of impaired QoL. However, once loneliness was accounted for, the effect of depression on QoL was markedly reduced and the effect of loneliness proved to be visibly larger. Self-rated depression was found to be more strongly associated with QoL than clinician-rated depression. Each type of depression measure explained a unique amount of variance in QoL. Depression moderated the relationship between loneliness and QoL in such a way that the negative effect of loneliness on QoL weakened with the increasing intensity of depressive symptoms. Therapeutic programs aiming to enhance the QoL of people with psychotic disorders should incorporate interventions targeting both loneliness and depression and need to be tailored to the clinical status of patients. The emphasis on alleviating loneliness should be placed first of all in the case of those with low levels of depression, among whom the negative impact of loneliness on QoL is especially strong. Researchers should be aware that the method chosen for assessing depressive symptoms in models predicting QoL in psychosis matters.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Student > Doctoral Student 6 11%
Student > Bachelor 4 7%
Other 3 6%
Lecturer 3 6%
Other 12 22%
Unknown 16 30%
Readers by discipline Count As %
Psychology 11 20%
Nursing and Health Professions 7 13%
Social Sciences 6 11%
Medicine and Dentistry 5 9%
Agricultural and Biological Sciences 1 2%
Other 2 4%
Unknown 22 41%
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 August 2018.
All research outputs
#16,031,680
of 23,794,258 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#2,023
of 2,534 outputs
Outputs of similar age
#271,490
of 443,161 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#28
of 32 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,534 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 14th percentile – i.e., 14% 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 443,161 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.