↓ Skip to main content

Development and validation of a new tool to measure the facilitators, barriers and preferences to exercise in people with osteoporosis

Overview of attention for article published in BMC Musculoskeletal Disorders, December 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
492 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Development and validation of a new tool to measure the facilitators, barriers and preferences to exercise in people with osteoporosis
Published in
BMC Musculoskeletal Disorders, December 2017
DOI 10.1186/s12891-017-1914-5
Pubmed ID
Authors

Isabel B. Rodrigues, Jonathan D. Adachi, Karen A. Beattie, Joy C. MacDermid

Abstract

Despite the widely known benefits of exercise and physical activity, adherence rates to these activities are poor. Understanding exercise facilitators, barriers, and preferences may provide an opportunity to personalize exercise prescription and improve adherence. The purpose of this study was to develop the Personalized Exercise Questionnaire (PEQ) to identify these facilitators, barriers, and preferences to exercise in people with osteoporosis. This study comprises two phases, instrument design and judgmental evidence. A panel of 42 experts was used to validate the instrument through quantitative (content validity) and qualitative (cognitive interviewing) methods. Content Validity Index (CVI) is the most commonly used method to calculate content validity quantitatively. There are two kinds of CVI: Item-CVI (I-CVI) and Scale-level CVI (S-CVI). Preliminary versions of this tool showed high content validity of individual items (I-CVI range: 0.50 to 1.00) and moderate to high overall content validity of the PEQ (S-CVI/UA = 0.63; S-CVI/Ave = 0.91). Through qualitative methods, items were improved until saturation was achieved. The tool consists of 6 domains and 38 questions. The 6 domains are: 1) support network; 2) access; 3) goals; 4) preferences; 5) feedback and tracking; and 6) barriers. There are 35 categorical questions and 3 open-ended items. Using an iterative approach, the development and evaluation of the PEQ demonstrated high item-content validity for assessing the facilitators, barriers, and preferences to exercise in people with osteoporosis. Upon further validation it is expected that this measure might be used to develop more client-centered exercise programs, and potentially improve adherence.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 492 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 492 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 71 14%
Student > Ph. D. Student 68 14%
Student > Bachelor 57 12%
Lecturer 38 8%
Student > Doctoral Student 25 5%
Other 96 20%
Unknown 137 28%
Readers by discipline Count As %
Nursing and Health Professions 74 15%
Medicine and Dentistry 56 11%
Social Sciences 38 8%
Psychology 19 4%
Computer Science 16 3%
Other 130 26%
Unknown 159 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 December 2017.
All research outputs
#6,622,591
of 12,341,179 outputs
Outputs from BMC Musculoskeletal Disorders
#1,106
of 2,440 outputs
Outputs of similar age
#143,825
of 347,097 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#67
of 149 outputs
Altmetric has tracked 12,341,179 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,440 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 53% 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 347,097 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 149 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 55% of its contemporaries.