↓ Skip to main content

Dove Medical Press

Article Metrics

Psychosocial functioning in schizophrenia: are some symptoms or demographic characteristics predictors across the functioning domains?

Overview of attention for article published in Neuropsychiatric Disease and Treatment, September 2015
Altmetric Badge

Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
48 Mendeley
Title
Psychosocial functioning in schizophrenia: are some symptoms or demographic characteristics predictors across the functioning domains?
Published in
Neuropsychiatric Disease and Treatment, September 2015
DOI 10.2147/ndt.s88085
Pubmed ID
Authors

Sirijit Suttajit, Suwanna Arunpongpaisal, Manit Srisurapanont, Nuntika Thavichachart, Ronnachai Kongsakon, Sunanta Chantakarn, Vasu Chantarasak, Apichat Jariyavilas, Piyadit Jaroensook, Khanogwan Kittiwattanagul, Osot Nerapusee

Abstract

This study aimed to examine symptoms/demographic characteristics as predictors for psychosocial functioning among individuals with schizophrenia. The Personal and Social Performance (PSP) scale was used to assess psychosocial functioning. Other measures of interest included were the Clinical Global Impression, Severity scale, and the Marder's five-factor model of the Positive and Negative Syndrome Scale. This study included 199 participants with non-acute stage schizophrenia. Spearman correlation coefficients and stepwise multiple linear regression analyses were applied to determine the correlates and predictors of PSP domain/total scores. Younger age, earlier age of schizophrenia onset, severe illness, positive symptoms, negative symptoms, disorganized thought, hostility/excitement, and anxiety/depression were found to significantly correlate with poor functioning. Severe illness and negative symptoms are the main predictors of greater impairment of socially useful activities, personal and social relationships, and self-care. Further prospective studies in other settings, which would include an increased number of variables such as neurocognitive function and social support, are warranted.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Student > Bachelor 6 13%
Student > Master 6 13%
Researcher 5 10%
Student > Doctoral Student 4 8%
Other 11 23%
Unknown 5 10%
Readers by discipline Count As %
Psychology 19 40%
Medicine and Dentistry 12 25%
Neuroscience 2 4%
Decision Sciences 1 2%
Social Sciences 1 2%
Other 1 2%
Unknown 12 25%

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 23 October 2015.
All research outputs
#11,518,418
of 14,535,828 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,787
of 2,442 outputs
Outputs of similar age
#170,758
of 249,818 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#91
of 96 outputs
Altmetric has tracked 14,535,828 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 2,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 18th percentile – i.e., 18% 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 249,818 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.