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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Association between severity of illicit drug dependence and quality of life in a psychosocial care center in BRAZIL: cross-sectional study
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, November 2017
|
| DOI | 10.1186/s12955-017-0795-5 |
| Pubmed ID | |
| Authors |
Selva Rios Campêlo, Maria Alves Barbosa, Danilo Rocha Dias, Camila Cardoso Caixeta, Cláudio Rodrigues Leles, Celmo Celeno Porto |
| Abstract |
Quality of life must be one of the main purposes for the treatment of drug users, requiring a better understanding of the association between the quality of life and the severity of dependency. This study aimed to investigate the correlation between severity of substance use in various areas of human functioning and quality of life of illicit drug users in a psychosocial care center for alcohol and drugs. This cross-sectional study included 60 participants - illicit drug users - treated at a psychosocial care center for alcohol and drugs. Participants were evaluated with the short version of World Health Organization Quality of Life (WHOQOL-Bref) instrument to measure the quality of life, the 6th version of Addiction Severity Index (ASI-6) to assess the severity of dependence in several areas and the Mini International Neuropsychiatric Interview (MINI) to identify the presence of psychiatric disorders. Pearson and Spearman correlation tests and linear regression were applied to verify the association between the severity of dependence and the quality of life, and Student's t-test to compare the mean quality of life between individuals with and without psychiatric comorbidities. Negative correlation was found between the severity of dependence on the drugs dimensions: alcohol, psychiatric, medical, legal, family/social support and family/social problems of ASI-6, and the quality of life domains measured by the WHOQOL-Bref. The evidence was strongest in the psychiatric and medical dimensions. There was a significant difference in the quality of life mean among participants presenting or not presenting psychiatric comorbidities, for the psychological domain in anxiety disorders, and for the physical and psychological domains in mood disorders. The quality of life decreased as the severity of dependence increased, with different results in the various areas of the participant's life. This result emphasizes the need for training the professional team which works in the substance use disorders area for more comprehensive diagnostic evaluations and more appropriate therapeutic interventions for each area. The associations were more evident in the medical and psychiatric fields, indicating the need for greater attention to be paid in relation to medical and psychiatric comorbidities. |
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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 14 | 15% |
| Student > Master | 12 | 13% |
| Researcher | 10 | 11% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Doctoral Student | 3 | 3% |
| Other | 11 | 12% |
| Unknown | 32 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 14% |
| Psychology | 12 | 13% |
| Nursing and Health Professions | 8 | 9% |
| Engineering | 4 | 4% |
| Social Sciences | 3 | 3% |
| Other | 15 | 16% |
| Unknown | 37 | 40% |
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 18 November 2017.
All research outputs
#15,866,607
of 23,577,654 outputs
Outputs from Health and Quality of Life Outcomes
#1,359
of 2,200 outputs
Outputs of similar age
#263,490
of 434,542 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#33
of 62 outputs
Altmetric has tracked 23,577,654 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 2,200 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 30th percentile – i.e., 30% 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 434,542 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.