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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Association between chronic conditions and health-related quality of life: differences by level of urbanization in Peru
|
|---|---|
| Published in |
Quality of Life Research, July 2017
|
| DOI | 10.1007/s11136-017-1649-7 |
| Pubmed ID | |
| Authors |
Alvaro Taype-Rondan, Elizabeth Sarah Abbs, Maria Lazo-Porras, William Checkley, Robert H. Gilman, Liam Smeeth, J. Jaime Miranda, Antonio Bernabe-Ortiz |
| Abstract |
To evaluate the role of urbanization as an effect modifier for the association between specific chronic conditions and number of conditions with health-related quality of life (QOL). We analyzed cross-sectional data from the CRONICAS Cohort Study conducted in Lima (highly urbanized), Tumbes (semi-urban), as well as rural and urban sites in Puno. Exposures of interest were chronic bronchitis, depressive mood, hypertension, type 2 diabetes, and a composite variable aggregating the number of chronic conditions (the four exposures plus heart disease and stroke). QOL outcomes were assessed with EuroQol's EQ-5D visual analogue scale (EQ-VAS). We fitted linear regressions with robust variance to evaluate the associations of interest. Study site was assessed as a potential effect modifier using the likelihood-ratio (LR) test. We evaluated data on 2433 subjects: 51.3% were female, mean age was 57.2 years. Study site was found to be an effect modifier only for the association between depressive mood and EQ-VAS score (LR test p < 0.001). Compared to those without depressive mood, participants with depressive mood scored -13.7 points on the EQ-VAS in Lima, -7.9 in urban Puno, -11.0 in semi-urban Tumbes, and -2.7 in rural Puno. Study site was not found to be an effect modifier for the association between the number of chronic conditions and EQ-VAS (LR test p = 0.64). The impact of depressive mood on EQ-VAS was larger in urban than in rural sites, while site was not an effect modifier for the remaining associations. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 29% |
| United States | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 14% |
| Researcher | 13 | 13% |
| Student > Bachelor | 11 | 11% |
| Student > Ph. D. Student | 8 | 8% |
| Other | 5 | 5% |
| Other | 15 | 15% |
| Unknown | 33 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 20% |
| Nursing and Health Professions | 11 | 11% |
| Psychology | 8 | 8% |
| Social Sciences | 4 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 15 | 15% |
| Unknown | 38 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 12 December 2017.
All research outputs
#6,783,360
of 23,007,887 outputs
Outputs from Quality of Life Research
#701
of 2,915 outputs
Outputs of similar age
#105,612
of 312,205 outputs
Outputs of similar age from Quality of Life Research
#19
of 83 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,915 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% 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 312,205 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 66% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.