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Predictors of quality of life among individuals with schizophrenia

Overview of attention for article published in Neuropsychiatric Disease and Treatment, May 2015
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Mentioned by

twitter
2 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
58 Mendeley
Title
Predictors of quality of life among individuals with schizophrenia
Published in
Neuropsychiatric Disease and Treatment, May 2015
DOI 10.2147/ndt.s81024
Pubmed ID
Authors

Sirijit Suttajit, Sutrak Pilakanta

Abstract

The study reported here aimed to evaluate both biological and psychosocial factors as predictors for quality of life as well as to examine the associations between the factors and quality of life in individuals with schizophrenia. Eighty individuals with schizophrenia were recruited to the study. The Thai version of the World Health Organization Quality of Life-BREF was utilized to measure the quality of life. The five Marder subscales of the Positive and Negative Syndrome Scale were applied. Other tools for measurement included the Calgary Depression Scale for Schizophrenia and six social support deficits (SSDs). Pearson/Spearman correlation coefficients and the independent t-test were used for the statistical analysis to determine the associations of variables and the overall quality of life and the four domain scores. A multiple linear regression analysis of the overall quality of life and four domain scores was applied to determine their predictors. The Positive and Negative Syndrome Scale total score, positive symptoms, negative symptoms, disorganized thought, and anxiety/depression showed a significant correlation with the overall quality of life and most of the four domain scores. Depression, SSDs, and adverse drug events showed a significant correlation with a poorer overall quality of life. The multiple linear regression model revealed that negative symptoms, depression, and seeing a relative less often than once per week were predictors for the overall quality of life (adjusted R (2)=0.472). Negative symptoms were also found to be the main factors predicting a decrease in the four domains of quality of life - physical health, psychological, social relationships, and environment. Negative symptoms, depression, and poor contact with relatives were the foremost predictors of poor quality of life in individuals with schizophrenia. Positive symptoms, negative symptoms, disorganized thought, anxiety/depression, SSDs, and adverse events were also found to be correlated with quality of life.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 17%
Student > Ph. D. Student 9 16%
Student > Doctoral Student 7 12%
Student > Bachelor 4 7%
Student > Postgraduate 3 5%
Other 11 19%
Unknown 14 24%
Readers by discipline Count As %
Medicine and Dentistry 15 26%
Psychology 15 26%
Nursing and Health Professions 6 10%
Agricultural and Biological Sciences 2 3%
Neuroscience 2 3%
Other 4 7%
Unknown 14 24%

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 11 June 2015.
All research outputs
#14,226,014
of 22,807,037 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,471
of 2,984 outputs
Outputs of similar age
#138,841
of 264,341 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#47
of 71 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,984 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 46th percentile – i.e., 46% 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 264,341 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.