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Motives for adult participation in physical activity: type of activity, age, and gender

Overview of attention for article published in BMC Public Health, January 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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18 X users
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4 Facebook pages
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1 Google+ user

Readers on

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309 Mendeley
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1 CiteULike
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Title
Motives for adult participation in physical activity: type of activity, age, and gender
Published in
BMC Public Health, January 2015
DOI 10.1186/s12889-015-1429-7
Pubmed ID
Authors

Keyvan Molanorouzi, Selina Khoo, Tony Morris

Abstract

BackgroundIn recent years, there has been a decline in physical activity among adults. Motivation has been shown to be a crucial factor in maintaining physical activity. The purpose of this study was to examine whether motives for participation could accurately discriminate gender, age, and type of physical activity.MethodsA quantitative, cross-sectional descriptive research design was employed. The Physical Activity and Leisure Motivation Scale (PALMS) was used to assess motives for physical activity in 1,360 adults (703 males, 657 females) who had been exercising regularly for at least six months. The PALMS consists of 40 items that constitute eight sub-scales (mastery, enjoyment, psychological condition, physical condition, appearance, others¿ expectations, affiliation, competition/ego). Respondents were divided into two age groups (young adults aged 20 to 40 years and middle-aged adults 41 to 64 years) and five types of activity (individual racing sports plus bowls, team sports, racquet sports, martial arts, and exercise).ResultsThe group discriminant function analyses revealed significant canonical functions correctly classifying the cases into gender (82%), age group (83%), team sport players 76%, individual racing sport plus bowls players 91%, racquet sport players 90%, exercisers 84%, and martial art players 91%. The competition/ego, appearance, physical condition, and mastery sub-scales contributed most to gender differences. Five sub-scales (mastery, psychological condition, others¿ expectations, affiliation, and enjoyment) contributed most to the discriminant function for age. For type of activity, different sub-scales were the strongest contributors to the discriminant function for each type of PA.ConclusionThe findings in this study suggest that strong and important motives for participation in physical activity are different across type of activity, age, and gender in adults. Understanding the motives that influence physical activity participation is critical for developing interventions to promote higher levels of involvement.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 <1%
Unknown 308 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 65 21%
Student > Master 35 11%
Student > Ph. D. Student 23 7%
Student > Doctoral Student 13 4%
Lecturer 12 4%
Other 34 11%
Unknown 127 41%
Readers by discipline Count As %
Sports and Recreations 65 21%
Medicine and Dentistry 25 8%
Nursing and Health Professions 17 6%
Social Sciences 17 6%
Psychology 14 5%
Other 40 13%
Unknown 131 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 17 June 2023.
All research outputs
#2,242,467
of 23,877,717 outputs
Outputs from BMC Public Health
#2,526
of 15,681 outputs
Outputs of similar age
#32,627
of 359,302 outputs
Outputs of similar age from BMC Public Health
#43
of 223 outputs
Altmetric has tracked 23,877,717 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,681 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 83% 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 359,302 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 90% of its contemporaries.
We're also able to compare this research output to 223 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.