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Prediction of attendance at fitness center: a comparison between the theory of planned behavior, the social cognitive theory, and the physical activity maintenance theory

Overview of attention for article published in Frontiers in Psychology, February 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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1 news outlet
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12 X users

Citations

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46 Dimensions

Readers on

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135 Mendeley
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Title
Prediction of attendance at fitness center: a comparison between the theory of planned behavior, the social cognitive theory, and the physical activity maintenance theory
Published in
Frontiers in Psychology, February 2015
DOI 10.3389/fpsyg.2015.00121
Pubmed ID
Authors

Darko Jekauc, Manuel Völkle, Matthias O. Wagner, Filip Mess, Miriam Reiner, Britta Renner

Abstract

In the processes of physical activity (PA) maintenance specific predictors are effective, which differ from other stages of PA development. Recently, Physical Activity Maintenance Theory (PAMT) was specifically developed for prediction of PA maintenance. The aim of the present study was to evaluate the predictability of the future behavior by the PAMT and compare it with the Theory of Planned Behavior (TPB) and Social Cognitive Theory (SCT). Participation rate in a fitness center was observed for 101 college students (53 female) aged between 19 and 32 years (M = 23.6; SD = 2.9) over 20 weeks using a magnetic card. In order to predict the pattern of participation TPB, SCT and PAMT were used. A latent class zero-inflated Poisson growth curve analysis identified two participation patterns: regular attenders and intermittent exercisers. SCT showed the highest predictive power followed by PAMT and TPB. Impeding aspects as life stress and barriers were the strongest predictors suggesting that overcoming barriers might be an important aspect for working out on a regular basis. Self-efficacy, perceived behavioral control, and social support could also significantly differentiate between the participation patterns.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Taiwan 1 <1%
Unknown 133 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 20%
Student > Ph. D. Student 19 14%
Student > Bachelor 14 10%
Student > Doctoral Student 12 9%
Researcher 6 4%
Other 21 16%
Unknown 36 27%
Readers by discipline Count As %
Psychology 23 17%
Sports and Recreations 22 16%
Business, Management and Accounting 11 8%
Social Sciences 11 8%
Nursing and Health Professions 10 7%
Other 20 15%
Unknown 38 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 26 November 2019.
All research outputs
#1,773,025
of 22,789,076 outputs
Outputs from Frontiers in Psychology
#3,512
of 29,702 outputs
Outputs of similar age
#27,742
of 357,797 outputs
Outputs of similar age from Frontiers in Psychology
#90
of 422 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,702 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 88% 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 357,797 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 92% of its contemporaries.
We're also able to compare this research output to 422 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.