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The influence of anthropometric factors on postural balance: the relationship between body composition and posturographic measurements in young adults

Overview of attention for article published in Clinics, January 2012
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Title
The influence of anthropometric factors on postural balance: the relationship between body composition and posturographic measurements in young adults
Published in
Clinics, January 2012
DOI 10.6061/clinics/2012(12)14
Pubmed ID
Authors

Angélica Castilho Alonso, Natália Mariana S Luna, Luis Mochizuki, Fábio Barbieri, Sileno Santos, Julia Maria D’Andréia Greve

Abstract

The aim of the present study was to evaluate the influence of anthropometric characteristics and gender on postural balance in adults. One hundred individuals were examined (50 males, 50 females; age range 20-40 years). The following body composition measurements were collected (using bone densitometry measurements): fat percentage (% fat), tissue (g), fat (g), lean mass (g), bone mineral content (g), and bone mineral density (g/cm²). In addition, the following anthropometric measurements were collected: body mass (kg), height (cm), length of the trunk-cephalic region (cm), length of the lower limbs (cm) and length of the upper limbs (cm). The following indices were calculated: body mass index (kg/m²), waist-hip ratio and the support base (cm²). Also, a postural balance test was performed using posturography variables with open and closed eyes. The analysis revealed poor correlations between postural balance and the anthropometric variables. A multiple linear regression analysis demonstrated that the whole group (female and male) height explained 12% of the medial-lateral displacement, 10% of the speed of oscillation, and 11% of the displacement area. The length of the trunk-cephalic length explained 6% of the displacement in the anteroposterior direction. With eyes closed, the support base and height explained 18% of the medial displacement, and the lateral height explained 10% of the displacement speed and 5% of the scroll area. Measured using posturography, the postural balance was only slightly influenced by the anthropometric variables, both with open and closed eyes. Height was the anthropometric variable that most influenced postural balance, both in the whole group and separately for each gender. Postural balance was more influenced by anthropometric factors in males than females.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Peru 1 <1%
Brazil 1 <1%
Unknown 156 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 16%
Student > Ph. D. Student 18 11%
Student > Master 17 11%
Researcher 11 7%
Student > Postgraduate 11 7%
Other 39 24%
Unknown 38 24%
Readers by discipline Count As %
Medicine and Dentistry 30 19%
Sports and Recreations 24 15%
Nursing and Health Professions 15 9%
Engineering 10 6%
Neuroscience 7 4%
Other 24 15%
Unknown 50 31%
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 18 January 2016.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Clinics
#1,001
of 1,215 outputs
Outputs of similar age
#228,476
of 250,087 outputs
Outputs of similar age from Clinics
#55
of 67 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,215 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 1st percentile – i.e., 1% 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 250,087 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.