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Title: Low back pain precedes the development of new knee pain in the elderly population; A novel predictive score from a longitudinal cohort study
Authors: Ito, Hiromu
Tominari, Shinjiro
Tabara, Yasuharu
Nakayama, Takeo
Furu, Moritoshi
Kawata, Tomotoshi
Azukizawa, Masayuki
Setoh, Kazuya
Kawaguchi, Takahisa
Matsuda, Fumihiko
Matsuda, Shuichi
Takahashi, Yoshimitsu
Kosugi, Shinji
Author's alias: 伊藤, 宣
富成, 伸次郎
田原, 康玄
中山, 健夫
瀬藤, 和也
川口, 喬久
松田, 文彦
松田, 秀一
Keywords: Knee pain
Low back pain
Mental health
Predictive score
Risk factor
Issue Date: 15-Apr-2019
Publisher: BioMed Central Ltd.
Journal title: Arthritis Research and Therapy
Volume: 21
Thesis number: 98
Abstract: Background: To investigate the association between knee pain and risk factors including low back pain and to develop a score to predict new knee pain in an older population, using population-based longitudinal cohort data. Methods: We collected a questionnaire on self-reported knee pain and demographic data in a systematic manner from community residents aged ≥ 50 years twice, at baseline, and after 5 years. Multivariate logistic regression analyses were performed to investigate the association between knee pain and risk factors and to build a predictive model that would enable calculation of the risk of the development of knee pain within 5 years. The model is presented in the form of score charts. Results: A total of 5932 residents aged ≥ 50 years from the cohort of 9764 that completed the first questionnaire were enrolled in the second survey. After exclusions, paired data for the two time points an average of 5.4 years apart were analyzed for 4638 participants. Multivariate analyses showed older age, female sex, higher BMI, weight increase, lower mental health score, and higher back pain/disability score were independent risk factors for knee pain. The predictive score comprised six factors: age, sex, BMI, weight increase, mental health, and low back pain/disability. The risk of developing knee pain ranged from 11.0 to 63.2% depending on the total score. Conclusion: This study demonstrated a significant association between knee and low back pain/disability along with other risk factors. The score we developed can be used to identify a population without any imaging modality who are at high risk of developing knee pain.
Rights: © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
URI: http://hdl.handle.net/2433/241360
DOI(Published Version): 10.1186/s13075-019-1884-0
PubMed ID: 30987680
Appears in Collections:Journal Articles

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