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Quality of life independently predicts long-term mortality but not vascular events: the Northern Manhattan Study

Overview of attention for article published in Quality of Life Research, March 2017
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Title
Quality of life independently predicts long-term mortality but not vascular events: the Northern Manhattan Study
Published in
Quality of Life Research, March 2017
DOI 10.1007/s11136-017-1567-8
Pubmed ID
Authors

John W. Liang, Ying Kuen Cheung, Joshua Z. Willey, Yeseon P. Moon, Ralph L. Sacco, Mitchell S. V. Elkind, Mandip S. Dhamoon

Abstract

Cardiovascular disease is a major contributor to morbidity and mortality, and prevention relies on accurate identification of those at risk. Studies of the association between quality of life (QOL) and mortality and vascular events incompletely accounted for depression, cognitive status, social support, and functional status, all of which have an impact on vascular outcomes. We hypothesized that baseline QOL is independently associated with long-term mortality in a large, multi-ethnic urban cohort. In the prospective, population-based Northern Manhattan Study, Spitzer QOL index (SQI, range 0-10, with ten signifying the highest QOL) was assessed at baseline. Participants were followed over a median 11 years for stroke, myocardial infarction (MI), and vascular and non-vascular death. Multivariable Cox proportional hazards regression estimated hazard ratio and 95% confidence interval (HR, 95% CI) for each outcome, with SQI as the main predictor, dichotomized at 10, adjusting for baseline demographics, vascular risk factors, history of cancer, social support, cognitive status, depression, and functional status. Among 3298 participants, mean age was 69.7 + 10.3 years; 1795 (54.5%) had SQI of 10. In fully adjusted models, SQI of 10 (compared to SQI <10) was associated with reduced risk of all-cause mortality (HR 0.80, 95% CI 0.72-0.90), vascular death (0.81, 0.69-0.97), non-vascular death (0.78, 0.67-0.91), and stroke or MI or death (0.82, 0.74-0.91). In fully adjusted competing risk models, there was no association with stroke (0.93, 0.74-1.17), MI (0.98, 0.75-1.28), and stroke or MI (1.03, 0.86-1.24). Results were consistent when SQI was analyzed continuously. In this large population-based cohort, highest QOL was inversely associated with long-term mortality, vascular and non-vascular, independently of baseline primary vascular risk factors, social support, cognition, depression, and functional status. QOL was not associated with non-fatal vascular events.

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The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 18%
Student > Bachelor 8 12%
Student > Ph. D. Student 7 11%
Student > Doctoral Student 5 8%
Professor 4 6%
Other 12 18%
Unknown 18 27%
Readers by discipline Count As %
Medicine and Dentistry 15 23%
Psychology 9 14%
Nursing and Health Professions 6 9%
Neuroscience 4 6%
Agricultural and Biological Sciences 3 5%
Other 6 9%
Unknown 23 35%
Attention Score in Context

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 31 March 2017.
All research outputs
#15,452,475
of 22,962,258 outputs
Outputs from Quality of Life Research
#1,754
of 2,910 outputs
Outputs of similar age
#193,929
of 308,778 outputs
Outputs of similar age from Quality of Life Research
#53
of 86 outputs
Altmetric has tracked 22,962,258 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 2,910 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 32nd percentile – i.e., 32% 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 308,778 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.