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Osteoarthritis prevalence and modifiable factors: a population study

Overview of attention for article published in BMC Public Health, November 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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
2 news outlets
policy
1 policy source
twitter
6 X users
facebook
1 Facebook page

Citations

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159 Dimensions

Readers on

mendeley
173 Mendeley
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Title
Osteoarthritis prevalence and modifiable factors: a population study
Published in
BMC Public Health, November 2015
DOI 10.1186/s12889-015-2529-0
Pubmed ID
Authors

Ronald Plotnikoff, Nandini Karunamuni, Ellina Lytvyak, Christopher Penfold, Donald Schopflocher, Ikuyo Imayama, Steven T. Johnson, Kim Raine

Abstract

This study's objectives were to investigate the prevalence of self-reported knee and hip osteoarthritis (OA) stratified by age and sex and to examine the association of modifiable factors with knee and hip OA prevalence. The study was conducted using randomly sampled data gathered from four communities in the province of Alberta, Canada. A large adult population sample (N = 4733) of individuals ≥18 years were selected. Health-related information was collected through telephone interviews and community measurement clinics for which a sub-sample (N = 1808) attended. Participants self-reported OA during telephone interviews. Clinic interviews further assessed if the diagnosis was made by a health care professional. Statistical analyses compared prevalence of OA between sexes and across age categories. Associations between modifiable factors for OA and the prevalence of knee and hip OA were assessed using binary logistic regression modelling. Overall prevalence of self-reported OA in the total sample was 14.8 %, where 10.5 % of individuals reported having knee OA and 8.5 % reported having hip OA. Differences in prevalence were found for males and females across age categories for both knee and hip OA. In terms of modifiable factors, being obese (BMI >30 kg/m2) was significantly associated with the prevalence of knee (OR: 4.37; 95 % CI: 2.08,9.20) and hip (OR: 2.52; 95 % CI: 1.17,5.43) OA. Individuals who stand or walk a lot, but do not carry or lift things during their occupational activities were 2.0 times less likely to have hip OA (OR: 0.50; 95 % CI: 0.26,0.96). Individuals who usually lift or carry light loads or have to climb stairs or hills were 2.2 times less likely to have hip OA (OR: 0.45; 95 % CI: 0.21,0.95). The odds of having hip OA were 1.9 times lower in individuals consuming recommended or higher vitamin C intake (OR: 0.52; 95 % CI: 0.29,0.96). Significant differences in prevalence were found for both males and females across age categories. The prevalence of knee and hip OA obtained in this study is comparable to other studies. Females have greater knee OA prevalence and a greater proportion of women have mobility limitations as well as hip and knee pain; it is important to target this sub-group.

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X Demographics

The data shown below were collected from the profiles of 6 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 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 173 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 32 18%
Student > Master 28 16%
Researcher 17 10%
Student > Postgraduate 12 7%
Student > Ph. D. Student 11 6%
Other 22 13%
Unknown 51 29%
Readers by discipline Count As %
Medicine and Dentistry 39 23%
Nursing and Health Professions 24 14%
Engineering 11 6%
Biochemistry, Genetics and Molecular Biology 6 3%
Sports and Recreations 5 3%
Other 27 16%
Unknown 61 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 28 November 2023.
All research outputs
#1,584,834
of 25,368,786 outputs
Outputs from BMC Public Health
#1,799
of 17,503 outputs
Outputs of similar age
#26,056
of 395,360 outputs
Outputs of similar age from BMC Public Health
#25
of 236 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,503 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 89% 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 395,360 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 236 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.