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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Physical Activity, Sitting Time, and Mortality From Inflammatory Diseases in Older Adults
|
|---|---|
| Published in |
Frontiers in Physiology, July 2018
|
| DOI | 10.3389/fphys.2018.00898 |
| Pubmed ID | |
| Authors |
Verónica Cabanas-Sánchez, Pilar Guallar-Castillón, Sara Higueras-Fresnillo, Esther García-Esquinas, Fernando Rodríguez-Artalejo, David Martinez-Gomez |
| Abstract |
Objective: The aim of this study was to examine the independent and combined associations of physical activity (PA) and sitting time (ST) with long-term mortality attributed to inflammatory causes other than cardiovascular disease (CVD) and cancer in a national cohort of older adults in Spain. Design: Prospective study. Setting and Participants: A cohort of 3,677 individuals (1,626 men) aged ≥60 years was followed-up during 14.3 years. Measures: At baseline, individuals reported PA and ST. The study outcome was death from inflammatory diseases when CVD or cancer mortality was excluded. This outcome was classified into infectious and non-infectious conditions. Analyses were performed with Cox regression and adjusted for PA, ST, and other main confounders (age, sex, educational level, smoking, alcohol consumption, body mass index, and chronic conditions). Results: During follow-up, 286 deaths from inflammatory diseases (77 from infectious diseases) were identified. Compared to individuals who defined themselves as inactive/less active, mortality from inflammatory diseases was lower in those who were moderately active (hazard ratio [HR] = 0.67, 95% confidence interval [CI] = 0.50-0.90) or very active (HR = 0.48, 95%CI = 0.33-0.68), independently of ST. Also, being seated ≥7 h/d vs. <7 h/d was linked to higher mortality (HR = 1.38, 95%CI = 1.02-1.87). The largest risk of mortality was observed in inactive/less active individuals with ST≥7 h/d (HR = 2.29, 95%CI = 1.59-3.29) compared to those with moderate/very PA and ST <7 h/d. Low PA and high ST were consistently associated with a higher risk of mortality from non-infectious inflammatory causes. Associations of PA and ST with mortality from infectious inflammatory causes showed a similar trend, but most of them did not reach statistical significance. Conclusions: Low PA and high ST were independently associated with higher mortality from inflammatory diseases other than CVD or cancer in older adults. Interventions addressing simultaneously both behaviors could have greater benefits than those focusing on only one of them. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 12% |
| United Kingdom | 2 | 8% |
| Canada | 1 | 4% |
| Colombia | 1 | 4% |
| Ireland | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 17 | 65% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 50% |
| Scientists | 12 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 14% |
| Professor | 6 | 8% |
| Researcher | 6 | 8% |
| Student > Ph. D. Student | 6 | 8% |
| Student > Bachelor | 5 | 7% |
| Other | 16 | 23% |
| Unknown | 22 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 12 | 17% |
| Medicine and Dentistry | 10 | 14% |
| Nursing and Health Professions | 8 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Business, Management and Accounting | 2 | 3% |
| Other | 11 | 15% |
| Unknown | 24 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 30 October 2018.
All research outputs
#1,982,167
of 23,342,232 outputs
Outputs from Frontiers in Physiology
#1,087
of 14,074 outputs
Outputs of similar age
#42,812
of 327,645 outputs
Outputs of similar age from Frontiers in Physiology
#71
of 507 outputs
Altmetric has tracked 23,342,232 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,074 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 92% 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 327,645 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 507 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.