↓ Skip to main content

Relationships between physical activity and muscular strength among healthy adults across the lifespan

Overview of attention for article published in SpringerPlus, September 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
116 Mendeley
Title
Relationships between physical activity and muscular strength among healthy adults across the lifespan
Published in
SpringerPlus, September 2015
DOI 10.1186/s40064-015-1357-0
Pubmed ID
Authors

Allie Leblanc, Beth A. Taylor, Paul D. Thompson, Jeffrey A. Capizzi, Priscilla M. Clarkson, C. Michael White, Linda S. Pescatello

Abstract

The purpose of this study was to examine relationships between objective and self-report measures of physical activity and muscle strength among healthy adults ranging in age from 20 to 91 years. Participants (n = 412) were mostly Caucasian men (48 %) and women (52 %) 43.9 ± 16.1 year of age with a body mass index (BMI) of 26.4 ± 4.8 kg/m(2). Physical activity was measured objectively with an accelerometer and by self-report with the Paffenbarger Physical Activity Questionnaire. Upper and lower body muscle strength were measured with an isokinetic dynamometer and handgrip strength with a static dynamometer. Multivariate regression assessed relationships between physical activity and muscle strength. The strongest correlates of upper body strength including handgrip strength were gender (r = -0.861 to -0.716), age (r = -0.445 to -0.241), BMI (r = 0.134-0.397), and physical activity (r = 0.093-0.186). The strongest correlates of lower body strength were gender (r = -0.772 to -0.634), age (r = -0.663 to -0.445), BMI (r = 0.160-0.266), and physical activity (r = -0.139 to 0.151). The strongest correlates of muscle strength were gender (explaining 40-74 % of the variance), age (6-44 %), and BMI (2-16 %), while physical activity correlations were weaker (1-3 %). Conflict surrounding the influence of a physically active lifestyle on muscle strength with age may be due to the stronger influences of other factors that supersede those of physical activity whether measured objectively or by self-report methods.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
Unknown 114 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 12%
Student > Ph. D. Student 12 10%
Student > Master 10 9%
Researcher 8 7%
Student > Postgraduate 5 4%
Other 22 19%
Unknown 45 39%
Readers by discipline Count As %
Medicine and Dentistry 20 17%
Sports and Recreations 12 10%
Nursing and Health Professions 9 8%
Social Sciences 5 4%
Psychology 5 4%
Other 12 10%
Unknown 53 46%
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 05 October 2015.
All research outputs
#15,348,067
of 22,829,683 outputs
Outputs from SpringerPlus
#932
of 1,850 outputs
Outputs of similar age
#160,613
of 274,279 outputs
Outputs of similar age from SpringerPlus
#64
of 126 outputs
Altmetric has tracked 22,829,683 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 1,850 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 35th percentile – i.e., 35% 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 274,279 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.