| Title |
Physical activity energy expenditure vs cardiorespiratory fitness level in impaired glucose metabolism
|
|---|---|
| Published in |
Diabetologia, September 2015
|
| DOI | 10.1007/s00125-015-3738-x |
| Pubmed ID | |
| Authors |
Lærke P. Lidegaard, Anne-Louise S. Hansen, Nanna B. Johansen, Daniel R. Witte, Søren Brage, Torsten Lauritzen, Marit E. Jørgensen, Dirk L. Christensen, Kristine Færch |
| Abstract |
Little is known about the relative roles of physical activity energy expenditure (PAEE) and cardiorespiratory fitness (CRF) as determinants of glucose regulation. The aim of this study was to examine the associations of PAEE and CRF with markers of glucose metabolism, and to test the hypothesis that CRF modifies the association between PAEE and glucose metabolism. We analysed cross-sectional data from 755 adults from the Danish ADDITION-PRO study. On the basis of OGTT results, participants without known diabetes were classified as having normal glucose tolerance, isolated impaired fasting glycaemia (i-IFG), isolated impaired glucose tolerance (i-IGT), combined IFG + IGT or screen-detected diabetes mellitus. Markers of insulin sensitivity and beta cell function were determined. PAEE was measured using a combined heart rate and movement sensor. CRF (maximal oxygen uptake) was estimated using a submaximal 8 min step test. The associations were examined by linear regression analysis. Results were adjusted for relevant confounders. PAEE and CRF were reduced in individuals with i-IGT, combined IFG + IGT and screen-detected diabetes mellitus, but were not significantly different in individuals with i-IFG compared with those with normal glucose tolerance. When adjusting CRF for PAEE and vice versa, PAEE and CRF were both associated with lower fasting and 2 h insulin and higher peripheral insulin sensitivity. CRF was additionally associated with lower fasting and 2 h glucose and higher insulin sensitivity and beta cell function. There was no interaction between CRF and PAEE for any markers of glucose metabolism. Only CRF, not PAEE, appears to be independently associated with plasma glucose levels and beta cell function, suggesting that CRF may be particularly important for glycaemic control. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 2 | 25% |
| Canada | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 3 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 61 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 24% |
| Researcher | 6 | 10% |
| Student > Bachelor | 6 | 10% |
| Student > Master | 6 | 10% |
| Professor | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 17 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 30% |
| Nursing and Health Professions | 6 | 10% |
| Sports and Recreations | 6 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 4 | 6% |
| Unknown | 21 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 07 January 2017.
All research outputs
#6,312,253
of 23,577,654 outputs
Outputs from Diabetologia
#2,584
of 5,140 outputs
Outputs of similar age
#72,301
of 268,528 outputs
Outputs of similar age from Diabetologia
#29
of 79 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 5,140 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.3. This one is in the 49th percentile – i.e., 49% 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 268,528 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.