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Factors associated with knee pain in 5148 women aged 50 years and older: a population-based study

Cited 5 time in Web of Science Cited 5 time in Scopus
Authors

Lee, Kyoung Min; Kang, Seung-Baik; Chung, Chin Youb; Park, Moon Seok; Kang, Dong-Wan; Chang, Chong Bum

Issue Date
2018-03
Publisher
Public Library of Science
Citation
PLoS ONE, Vol.13 No.3, p. e0192478
Abstract
Objective
This study was performed to investigate the factors associated with the level of knee pain in a nationally representative sample of non institutionalized women aged 50 years or older.

Methods
Women aged 50 years or older were selected and included in the data analyses from the Korean National Health and Nutrition Examination Surveys (2010-2013). Those having malignant diseases or using osteoarthritis medication were excluded. Significant factors associated with the level of knee pain were analyzed using multivariate regression analysis.

Results
A total of 5148 women (average age, 62.9 years; standard deviation, 9.3 years) were included. For women without knee osteoarthritis, level of hip pain (p<0.001), presence of back pain (p<0.001), age (p<0.001), and body mass index (BMI) (p<0.001) were found to be significant factors associated with the level of knee pain. For women with knee osteoarthritis, the radiographic grade of knee osteoarthritis (p<0.001), presence of back pain (p<0.001), level of hip pain (p<0.001), presence of depressive symptoms (p<0.001), and BMI (p = 0.026) were the factors significantly associated with the level of knee pain.

Conclusions
Women without knee osteoarthritis tended to report increasing knee pain with increasing age. BMI is considered a significant controllable factor in knee pain in women regardless of the presence of radiographic knee osteoarthritis. The presence of depressive symptoms may aggravate knee pain in women with knee osteoarthritis. Attention needs to be focused on concomitant musculoskeletal problems such as lumbar spinal and hip diseases in women with knee pain.
ISSN
1932-6203
URI
https://hdl.handle.net/10371/191945
DOI
https://doi.org/10.1371/journal.pone.0192478
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  • College of Medicine
  • Department of Medicine
Research Area Cerebral palsy, Motion analysis, Pediatric orthopedic surgery

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