| Title |
Contribution of Protein Intake and Concurrent Exercise to Skeletal Muscle Quality with Aging
|
|---|---|
| Published in |
The Journal of Frailty & Aging, January 2019
|
| DOI | 10.14283/jfa.2019.40 |
| Pubmed ID | |
| Authors |
Nathan D. Dicks, C. J. Kotarsky, K. A. Trautman, A. M. Barry, J. F. Keith, S. Mitchell, W. Byun, S. N. Stastny, K. J. Hackney |
| Abstract |
The use of magnetic resonance imaging (MRI) derived functional cross-sectional area (FCSA) and intramuscular adipose tissue (IMAT) to define skeletal muscle quality is of fundamental importance in order to understand aging and inactivity-related loss of muscle mass. This study examined factors associated with lower-extremity skeletal muscle quality in healthy, younger, and middle-aged adults. Cross-sectional study. Ninety-eight participants (53% female) were classified as younger (20-35 years, n=50) or middle-aged (50-65 years, n=48) as well as sedentary (≤1 day per week) or active (≥3 days per week) on self-reported concurrent exercise (aerobic and resistance). All participants wore an accelerometer for seven days, recorded a three-day food diary, and participated in magnetic resonance imaging (MRI) of the lower limbs. Muscle cross-sectional area (CSA) was determined by tracing the knee extensors (KE) and plantar flexors, while muscle quality was established through the determination of FCSA and IMAT via color thresholding. One-way analysis of variance and stepwise regression models were performed to predict FCSA and IMAT. KE-IMAT (cm2) was significantly higher among sedentary (3.74 ± 1.93) vs. active (1.85 ± 0.56) and middle-aged (3.14 ± 2.05) vs. younger (2.74 ± 1.25) (p < 0.05). Protein intake (g•kg•day-1) was significantly higher in active (1.63 ± 0.55) vs. sedentary (1.19 ± 0.40) (p < 0.05). Sex, age, concurrent exercise training status, and protein intake were significant predictors of KE FCSA (R2 = 0.71, p < 0.01), while concurrent exercise training status and light physical activity predicted 33% of the variance in KE IMAT (p < 0.01). Concurrent exercise training, dietary protein intake, and light physical activity are significant determinants of skeletal muscle health and require further investigation to mitigate aging and inactivity-related loss of muscle quality. |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 16% |
| United States | 4 | 16% |
| Australia | 3 | 12% |
| Canada | 2 | 8% |
| Brazil | 2 | 8% |
| Japan | 1 | 4% |
| Unknown | 9 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 48% |
| Scientists | 7 | 28% |
| Practitioners (doctors, other healthcare professionals) | 3 | 12% |
| Science communicators (journalists, bloggers, editors) | 3 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 17% |
| Student > Bachelor | 8 | 15% |
| Researcher | 8 | 15% |
| Student > Master | 5 | 10% |
| Student > Postgraduate | 4 | 8% |
| Other | 6 | 12% |
| Unknown | 12 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 11 | 21% |
| Sports and Recreations | 10 | 19% |
| Social Sciences | 4 | 8% |
| Medicine and Dentistry | 4 | 8% |
| Neuroscience | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 17 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 22 February 2022.
All research outputs
#3,101,737
of 25,387,668 outputs
Outputs from The Journal of Frailty & Aging
#83
of 416 outputs
Outputs of similar age
#68,405
of 446,429 outputs
Outputs of similar age from The Journal of Frailty & Aging
#4
of 21 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 416 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 80% 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 446,429 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.