| 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. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 17% |
| Student > Bachelor | 12 | 16% |
| Student > Master | 8 | 11% |
| Researcher | 7 | 9% |
| Student > Doctoral Student | 6 | 8% |
| Other | 13 | 17% |
| Unknown | 17 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 22 | 29% |
| Medicine and Dentistry | 16 | 21% |
| Nursing and Health Professions | 4 | 5% |
| Neuroscience | 3 | 4% |
| Unspecified | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 25 | 33% |
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
#20,656,161
of 25,373,627 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,328
of 3,132 outputs
Outputs of similar age
#203,162
of 276,788 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#91
of 95 outputs
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