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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Health related quality of life in adolescents with chronic fatigue syndrome: a cross-sectional study
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, July 2015
|
| DOI | 10.1186/s12955-015-0288-3 |
| Pubmed ID | |
| Authors |
Anette Winger, Gunnvald Kvarstein, Vegard Bruun Wyller, Mirjam Ekstedt, Dag Sulheim, Even Fagermoen, Milada Cvancarova Småstuen, Sølvi Helseth |
| Abstract |
To study health related quality of life (HRQOL) and depressive symptoms in adolescents with chronic fatigue syndrome (CFS) and to investigate in which domains their HRQOL and depressive symptoms differ from those of healthy adolescents. Several symptoms such as disabling fatigue, pain and depressive symptoms affect different life domains of adolescents with CFS. Compared to adolescents with other chronic diseases, young people with CFS are reported to be severely impaired, both physiologically and mentally. Despite this, few have investigated the HRQOL in this group. This is a cross-sectional study on HRQOL including 120 adolescents with CFS and 39 healthy controls (HC), between 12 and 18 years. The Pediatric Quality of Life Inventory™, 4.0 (PedsQL) was used to assess HRQOL. The Mood and Feelings Questionnaire assessed depressive symptoms. Data were collected between March 2010 and October 2012 as part of the NorCAPITAL project (Norwegian Study of Chronic Fatigue Syndrome in Adolescents: Pathophysiology and Intervention Trial). Linear and logistic regression models were used in analysis, and all tests were two-sided. Adolescents with CFS reported significantly lower overall HRQOL compared to HCs. When controlling for gender differences, CFS patients scored 44 points lower overall HRQOL on a scale from 0-100 compared to HCs. The domains with the largest differences were interference with physical health (B = -59, 95 % CI -54 to -65) and school functioning (B = -52, 95 % CI -45 to -58). Both depressive symptoms and being a patient were independently associated with lower levels of HRQOL CONCLUSION: The difference in HRQOL between CFS patients and healthy adolescents was even larger than we expected. The large sample of adolescents with CFS in our study confirms previous findings from smaller studies, and emphasizes that CFS is a seriously disabling condition that has a strong impact on their HRQOL. Even though depressive symptoms were found in the group of patients, they could not statistically explain the poor HRQOL. |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 3 | 17% |
| Ireland | 1 | 6% |
| Netherlands | 1 | 6% |
| United States | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 11 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 89% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 15% |
| Student > Master | 10 | 12% |
| Student > Doctoral Student | 10 | 12% |
| Student > Bachelor | 9 | 11% |
| Other | 6 | 7% |
| Other | 16 | 19% |
| Unknown | 21 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 26% |
| Nursing and Health Professions | 13 | 15% |
| Psychology | 11 | 13% |
| Social Sciences | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 23 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 17 September 2016.
All research outputs
#1,064,033
of 25,654,806 outputs
Outputs from Health and Quality of Life Outcomes
#38
of 2,304 outputs
Outputs of similar age
#12,512
of 277,392 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#1
of 62 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,304 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 98% of its peers.
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 277,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
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 has done particularly well, scoring higher than 98% of its contemporaries.