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A longitudinal study examining the effects of a season of American football on lipids and lipoproteins

Overview of attention for article published in Lipids in Health and Disease, April 2015
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Title
A longitudinal study examining the effects of a season of American football on lipids and lipoproteins
Published in
Lipids in Health and Disease, April 2015
DOI 10.1186/s12944-015-0021-6
Pubmed ID
Authors

Jonathan M Oliver, Dustin P Joubert, Aaron Caldwell, Steve E Martin, Stephen F Crouse

Abstract

Dyslipidemia is one factor cited for increased risk of cardiovascular disease (CVD) in American football players. However, American football players undergo physical conditioning which is known to influence lipids. This study examined if the physical activity of an American football season is associated with changes in lipids and if a relationship exists between lipids and body composition. Fourteen division I freshmen American football players had blood drawn prior to summer training (T1), end of competition (T2), and end of spring training (T3). Samples were analyzed for total cholesterol (TCHL), HDL-C, LDL-C, and triglycerides (TG). Body composition was assessed via dual-x-ray absorptiometry. National Cholesterol Education Program (NCEP) lipid categorization was used to characterize participants. Pearson correlations were computed to determine relationships. Body mass increased T2 (p = 0.008) as a result of increase in fat mass (p = 0.005) and remained high despite a decrease T3. Lean mass did not differ significantly at any time. No significant time effects were observed for lipids measured. The number of participants presenting with risk factors attributed to dyslipidemia varied. By T3, no participant was categorized as "low" for HDL-C. TCHL was moderately correlated (r = 0.60) with fat mass at T1; whereas a moderate correlation (r = -0.57) was observed between BMI and HDL-C at T2. TG was strongly correlated with fat mass at each time point (T1, r = 0.83; T2, r = 0.94; T3, r = 0.70). The physical activity associated with a season of football results in little change in blood lipids and CVD risk. Further, TG are strongly related to fat mass. Future research should focus on examining the cause of dyslipidemia in American football players.

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The data shown below were collected from the profiles of 2 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 15%
Student > Master 6 15%
Student > Bachelor 5 13%
Unspecified 5 13%
Researcher 3 8%
Other 9 23%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Unspecified 5 13%
Sports and Recreations 5 13%
Nursing and Health Professions 3 8%
Agricultural and Biological Sciences 2 5%
Other 6 15%
Unknown 8 20%
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 06 September 2016.
All research outputs
#15,330,127
of 22,800,560 outputs
Outputs from Lipids in Health and Disease
#798
of 1,449 outputs
Outputs of similar age
#157,713
of 265,398 outputs
Outputs of similar age from Lipids in Health and Disease
#15
of 22 outputs
Altmetric has tracked 22,800,560 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 1,449 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 36th percentile – i.e., 36% 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 265,398 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.