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Low back pain precedes the development of new knee pain in the elderly population; a novel predictive score from a longitudinal cohort study.

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.

journal_name

Arthritis Res Ther

journal_title

Arthritis research & therapy

authors

Ito H,Tominari S,Tabara Y,Nakayama T,Furu M,Kawata T,Azukizawa M,Setoh K,Kawaguchi T,Matsuda F,Matsuda S,Nagahama Study group.

doi

10.1186/s13075-019-1884-0

subject

Has Abstract

pub_date

2019-04-15 00:00:00

pages

98

issue

1

eissn

1478-6354

issn

1478-6362

pii

10.1186/s13075-019-1884-0

journal_volume

21

pub_type

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