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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of Quality of Life in Asian Patients with Schizophrenia: A Cross-sectional Pilot Study
|
|---|---|
| Published in |
Frontiers in Psychiatry, October 2017
|
| DOI | 10.3389/fpsyt.2017.00198 |
| Pubmed ID | |
| Authors |
Carol C. Choo, Peter K. H. Chew, Cyrus S. Ho, Roger C. Ho |
| Abstract |
There has been a shift in mental health services from an emphasis on treatment focused on reducing symptoms to a more holistic approach involving quality of life (QOL) and overall well-being. Many psychosocial variables are associated with QOL but a parsimonious framework is needed to deepen our understanding about the contribution of psychosocial factors in influencing the QOL of Asian patients with schizophrenia in Singapore. The study aimed to address the current gap in literature by analysis of QOL using available predictors in Asian patients with schizophrenia in Singapore. 43 Singaporean patients diagnosed with schizophrenia were recruited at a large teaching hospital in Singapore from January to May 2010 and were invited to complete questionnaires. Of the sample, 65.1% were females, ages ranged from 18 to 65 (M = 44.60, SD = 12.19). Available variables were subjected to regression analysis. The data were analyzed using SPSS Version 23 with the alpha level set at 0.05. The final model with five predictors was significant in predicting QOL. Positive Re-appraisal, Social Support, Avoidant Coping, Duration of Hospitalization, and Education accounted for 47.2% of the variance (Adjusted R(2) = 40.0%) in QOL, F (5, 37) = 6.60, p < 0.001. Those with post-secondary or higher education had higher QOL than those with secondary or lower education. Duration of hospitalization negatively predicted QOL. The findings were discussed in regards to clinical implications for informing interventions to enhance QOL in patients with schizophrenia. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 12% |
| Student > Postgraduate | 6 | 10% |
| Student > Bachelor | 6 | 10% |
| Researcher | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 9 | 15% |
| Unknown | 24 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 22% |
| Psychology | 9 | 15% |
| Nursing and Health Professions | 6 | 10% |
| Agricultural and Biological Sciences | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 25 | 42% |
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 October 2017.
All research outputs
#15,481,147
of 23,005,189 outputs
Outputs from Frontiers in Psychiatry
#5,837
of 10,140 outputs
Outputs of similar age
#201,958
of 322,951 outputs
Outputs of similar age from Frontiers in Psychiatry
#55
of 88 outputs
Altmetric has tracked 23,005,189 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 10,140 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 38th percentile – i.e., 38% 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 322,951 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.