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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Effect of Cardiorespiratory Fitness on Age-Related Lipids and Lipoproteins
|
|---|---|
| Published in |
JACC, May 2015
|
| DOI | 10.1016/j.jacc.2015.03.517 |
| Pubmed ID | |
| Authors |
Yong-Moon Mark Park, Xuemei Sui, Junxiu Liu, Haiming Zhou, Peter F. Kokkinos, Carl J. Lavie, James W. Hardin, Steven N. Blair |
| Abstract |
Evidence on the effect of cardiorespiratory fitness (CRF) on age-related longitudinal changes of lipids and lipoproteins is scarce. This study sought to assess the longitudinal aging trajectory of lipids and lipoproteins for the life course in adults and to determine whether CRF modifies the age-associated trajectory of lipids and lipoproteins. Data came from 11,418 men, 20 to 90 years of age, without known high cholesterol, high triglycerides, cardiovascular disease, and cancer at baseline and during follow-up from the Aerobics Center Longitudinal Study. There were 43,821 observations spanning 2 to 25 health examinations (mean 3.5 examinations) between 1970 and 2006. CRF was quantified by a maximal treadmill exercise test. Marginal models using generalized estimating equations were applied. Total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), triglycerides, and non-high-density lipoprotein cholesterol (non-HDL-C) presented similar inverted U-shaped quadratic trajectories with aging: gradual increases were noted until age mid-40s to early 50s, with subsequent declines (all p < 0.0001). Compared with men with higher CRF, those with lower CRF developed abnormal values earlier in life: TC (≥200 mg/dl), LDL-C (≥130 mg/dl), non-HDL-C (≥160 mg/dl), and triglycerides/HDL-C ratio (≥3.0). Notably, abnormal values for TC and LDL-C in men with low CRF were observed around 15 years earlier than in those with high CRF. After adjusting for time-varying covariates, a significant interaction was found between age and CRF in each trajectory, indicating that CRF was more strongly associated with the aging trajectories of lipids and lipoproteins in young to middle-age men than in older men. Our investigation reveals a differential trajectory of lipids and lipoproteins with aging according to CRF in healthy men and suggests that promoting increased CRF levels may help delay the development of dyslipidemia. |
X Demographics
The data shown below were collected from the profiles of 42 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 8 | 19% |
| United States | 7 | 17% |
| Canada | 2 | 5% |
| Denmark | 1 | 2% |
| Mexico | 1 | 2% |
| Taiwan | 1 | 2% |
| France | 1 | 2% |
| Greece | 1 | 2% |
| Comoros | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 17 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 48% |
| Scientists | 13 | 31% |
| Practitioners (doctors, other healthcare professionals) | 7 | 17% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Sweden | 1 | 1% |
| Unknown | 85 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 15% |
| Student > Ph. D. Student | 11 | 13% |
| Researcher | 9 | 10% |
| Student > Doctoral Student | 8 | 9% |
| Student > Bachelor | 8 | 9% |
| Other | 20 | 23% |
| Unknown | 18 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 30% |
| Sports and Recreations | 11 | 13% |
| Nursing and Health Professions | 7 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Psychology | 3 | 3% |
| Other | 10 | 11% |
| Unknown | 27 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 11 August 2021.
All research outputs
#832,437
of 25,394,764 outputs
Outputs from JACC
#2,109
of 16,747 outputs
Outputs of similar age
#9,901
of 279,009 outputs
Outputs of similar age from JACC
#6
of 197 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,747 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has done well, scoring higher than 87% 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 279,009 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 96% of its contemporaries.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.