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Fatigue is associated with excess mortality in the general population: results from the EPIC-Norfolk study

Overview of attention for article published in BMC Medicine, August 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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3 news outlets
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16 X users

Citations

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48 Dimensions

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122 Mendeley
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Title
Fatigue is associated with excess mortality in the general population: results from the EPIC-Norfolk study
Published in
BMC Medicine, August 2016
DOI 10.1186/s12916-016-0662-y
Pubmed ID
Authors

Neil Basu, Xingzi Yang, Robert N. Luben, Daniel Whibley, Gary J. Macfarlane, Nicholas J. Wareham, Kay-Tee Khaw, Phyo Kyaw Myint

Abstract

Significant fatigue is a frequent reason for seeking medical advice in the general population. Patients, however, commonly feel their complaint is ignored. This situation may be because clinicians perceive fatigue to be benign, unrelated to traditional biomedical outcomes such as premature mortality. The present study aimed to investigate whether an association between significant fatigue and mortality actually exists, and, if so, to identify potential mechanisms of this association. A population-based cohort of 18,101 men and women aged 40-79 years who completed a measure of fatigue (Short Form 36 vitality domain, SF36-VT) in addition to providing information on possible confounding factors (age, sex, body mass index, marital status, smoking, education level, alcohol consumption, social class, depression, bodily pain, diabetes, use of β blockers, physical activity and diet) and mechanisms (haemoglobin, C-reactive protein and thyroid function) were followed up prospectively for up to 20 years. Mortality from all causes, cancer and cardiovascular disease was ascertained using death certification linkage with the UK Office of National Statistics. During 300,322 person years of follow-up (mean 16.6 years), 4397 deaths occurred. After adjusting for confounders, the hazard ratio (HR) for all-cause mortality was 1.40 (95 % confidence interval [CI] 1.25-1.56) for those reporting the highest fatigue (bottom SF36-VT quartile) compared with those reporting the lowest fatigue (top SF36-VT quartile). This significant association was specifically observed for those deaths related to cardiovascular disease (HR 1.45, 95 % CI 1.18-1.78) but not cancer (HR 1.09, 95 % CI 0.90-1.32). Of the considered mechanisms, thyroid function was most notable for attenuating this association. The risk of all-cause mortality, however, remained significant even after considering all putative confounders and mechanisms (HR 1.26, 95 % CI 1.10-1.45). High levels of fatigue are associated with excess mortality in the general population. This commonly dismissed symptom demands greater evaluation and should not automatically be considered benign.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 15%
Student > Master 15 12%
Student > Ph. D. Student 9 7%
Student > Doctoral Student 7 6%
Other 7 6%
Other 23 19%
Unknown 43 35%
Readers by discipline Count As %
Medicine and Dentistry 26 21%
Psychology 17 14%
Nursing and Health Professions 7 6%
Neuroscience 4 3%
Social Sciences 3 2%
Other 15 12%
Unknown 50 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 29 January 2024.
All research outputs
#1,124,001
of 25,307,332 outputs
Outputs from BMC Medicine
#801
of 3,981 outputs
Outputs of similar age
#20,583
of 352,947 outputs
Outputs of similar age from BMC Medicine
#9
of 47 outputs
Altmetric has tracked 25,307,332 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 3,981 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.6. This one has done well, scoring higher than 79% 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 352,947 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 94% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.