Linked Life Data

2384295

Source:http://linkedlifedata.com/resource/pubmed/id/2384295

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1990-9-20
pubmed:abstractText
I have proposed that long-distance runners have the high-density lipoprotein (HDL) cholesterol metabolism of men who are below their sedentary weight set-point. This hypothesis was tested by correlating HDL-cholesterol levels with other variables in 33 long-distance runners who ran at least 24 km/week. The most significant determinant of the runners' plasma HDL-cholesterol concentrations was the difference between the runners' current weight and their self-reported greatest weight (r = -0.50, P less than 0.0001). HDL-cholesterol levels were highest in previously-obese runners who had lost the most weight, i.e. highest in those who were the furthest below their presumed weight set-point. Plasma HDL-cholesterol concentrations were unrelated to training level, running performance, current weight and upper-body obesity. Although these results do not prove homeostatic regulation of weight at a set point, they do suggest that deviations from sedentary weight affect metabolism. Moreover, with respect to male runners elevating their HDL-cholesterol concentrations, these results suggest, 'tis better to have been fat and lost than to have never been fat at all.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0307-0565
pubmed:author
pubmed:issnType
Print
pubmed:volume
14
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
421-7
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1990
pubmed:articleTitle
Weight set-point theory predicts HDL-cholesterol levels in previously obese long-distance runners.
pubmed:affiliation
Donner Laboratory, Berkeley Laboratory, University of California, Berkeley, California 94720.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S.