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Specificity of Balance Training in Healthy Individuals: A Systematic Review and Meta-Analysis

Overview of attention for article published in Sports Medicine, March 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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1 news outlet
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33 X users
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5 Facebook pages

Citations

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155 Dimensions

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332 Mendeley
Title
Specificity of Balance Training in Healthy Individuals: A Systematic Review and Meta-Analysis
Published in
Sports Medicine, March 2016
DOI 10.1007/s40279-016-0515-z
Pubmed ID
Authors

Jakob Kümmel, Andreas Kramer, Louis-Solal Giboin, Markus Gruber

Abstract

It has become common practice to incorporate balance tasks into the training program for athletes who want to improve performance and prevent injuries, in rehabilitation programs, and in fall prevention programs for the elderly. However, it is still unclear whether incorporating balance tasks into a training program increases performance only in these specific tasks or if it affects balance in a more general way. The objective of this systematic literature review and meta-analysis was to determine to what extent the training of balance tasks can improve performance in non-trained balance tasks. A systematic literature search was performed in the online databases EMBASE, PubMed, SPORTDiscus and Web of Science. Articles related to balance training and testing in healthy populations published between January 1985 and March 2015 were considered. A total of 3093 articles were systematically evaluated. Randomized controlled trials were included that (i) used only balance tasks during the training, (ii) used at least two balance tests before and after training, and (iii) tested performance in the trained balance tasks and at least one non-trained balance task. Six studies with a total of 102 subjects met these criteria and were included into the meta-analysis. The quality of the studies was evaluated by means of the Physiotherapy Evidence Database (PEDro) scale. A random effect model was used to calculate the between-subject standardized mean differences (SMDbs) in order to quantify the effect of balance training on various kinds of balance measures relative to controls. The tested balance tasks in each study were classified into tasks that had been trained and tasks that had not been trained. For further analyses, the non-trained balance tasks were subdivided into tasks with similar or non-similar body position and similar or non-similar balance perturbation direction compared to the trained task. The effect of balance training on the performance of the trained balance tasks reached an SMDbs of 0.79 [95 % confidence interval (CI) 0.48-1.10], indicating a high effect in favor for the trained task, with no notable heterogeneity (I (2) = 0 %). The SMDbs in non-trained categories reached values between -0.07 (95 % CI -0.53 to 0.38) and 0.18 (95 % CI -0.27 to 0.64), with non-notable to moderate heterogeneity (I (2) = 0-32 %), indicating no effect of the balance training on the respective non-trained balance tasks. With six studies, the number of studies included in this meta-analysis is rather low. It remains unclear how the limited number of studies with considerable methodological diversity affects the outcome of the SMD calculations and thus the general outcome of the meta-analysis. In healthy populations, balance training can improve the performance in trained tasks, but may have only minor or no effects on non-trained tasks. Consequently, therapists and coaches should identify exactly those tasks that need improvement, and use these tasks in the training program and as a part of the test battery that evaluates the efficacy of the training program. Generic balance tasks-such as one-leg stance-may have little value as overall balance measures or when assessing the efficacy of specific training interventions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 X users 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 332 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Unknown 328 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 57 17%
Student > Bachelor 48 14%
Student > Ph. D. Student 44 13%
Researcher 24 7%
Student > Doctoral Student 20 6%
Other 60 18%
Unknown 79 24%
Readers by discipline Count As %
Sports and Recreations 102 31%
Nursing and Health Professions 42 13%
Medicine and Dentistry 38 11%
Neuroscience 18 5%
Engineering 10 3%
Other 34 10%
Unknown 88 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 2022.
All research outputs
#1,253,092
of 25,050,563 outputs
Outputs from Sports Medicine
#1,050
of 2,885 outputs
Outputs of similar age
#21,129
of 306,884 outputs
Outputs of similar age from Sports Medicine
#30
of 61 outputs
Altmetric has tracked 25,050,563 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,885 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.1. This one has gotten more attention than average, scoring higher than 63% 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 306,884 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 93% of its contemporaries.
We're also able to compare this research output to 61 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 52% of its contemporaries.