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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Individual diseases or clustering of health conditions? Association between multiple chronic diseases and health-related quality of life in adults
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, December 2017
|
| DOI | 10.1186/s12955-017-0806-6 |
| Pubmed ID | |
| Authors |
David Alejandro González-Chica, Catherine L. Hill, Tiffany K. Gill, Phillipa Hay, Dandara Haag, Nigel Stocks |
| Abstract |
Chronic diseases are highly prevalent and cluster in individuals (multimorbidity). This study investigated the association between multimorbidity and Health-Related Quality of Life (HRQoL), assessing the combination of chronic diseases highly correlated with this outcome. We conducted a household survey in 2015 in a random sample of 2912 South Australian adults (48.9 ± 18.1 years; 50.9% females), obtaining information on sociodemographics, lifestyle, and 17 chronic conditions clustered in four different groups (metabolic, cardiovascular, gastrointestinal, and musculoskeletal). Information on physical (PCS) and mental components scores (MCS) of HRQoL were assessed using the SF-12 questionnaire. Multivariable linear regression models considering individual diseases (mutually adjusted) and clusters within- and between-groups were used to test the associations. Only 41% of the sample was negative for all the investigated diseases. The most prevalent conditions were osteoarthritis, obesity and hypertension, which affected one in every four individuals. PCS was markedly lower among those reporting stroke, heart failure, and osteoarthritis, but they were not associated with MCS. Direct-trend relationships were observed between the number of chronic conditions (clusters within- and between-groups) and PCS, but not with MCS. The strongest association with PCS was for musculoskeletal conditions (difference between those affected by 2+ conditions and those free of these conditions -6.7 95%CI -8.5;-5.4), and lower PCS were observed in any combination of clusters between-group including musculoskeletal diseases. In the context of multimorbidity, musculoskeletal diseases are a key determinant group of PCS, amplifying the association of other chronic conditions on physical but not on mental health. |
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 % |
|---|---|---|
| Australia | 1 | 33% |
| Spain | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 114 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 14% |
| Student > Ph. D. Student | 11 | 10% |
| Researcher | 10 | 9% |
| Student > Doctoral Student | 5 | 4% |
| Other | 4 | 4% |
| Other | 18 | 16% |
| Unknown | 50 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 24% |
| Nursing and Health Professions | 10 | 9% |
| Computer Science | 5 | 4% |
| Psychology | 3 | 3% |
| Neuroscience | 2 | 2% |
| Other | 13 | 11% |
| Unknown | 54 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 January 2018.
All research outputs
#13,340,661
of 23,012,811 outputs
Outputs from Health and Quality of Life Outcomes
#1,049
of 2,186 outputs
Outputs of similar age
#212,371
of 440,658 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#35
of 64 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,186 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 51% 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 440,658 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.