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Clustering of Lifestyle Factors and Its Association with Low Back Pain: A Cross-Sectional Study of Over 400,000 Japanese Adults

Authors Yoshimoto T, Ochiai H, Shirasawa T, Nagahama S, Uehara A, Muramatsu J, Kokaze A

Received 28 January 2020

Accepted for publication 23 May 2020

Published 12 June 2020 Volume 2020:13 Pages 1411—1419

DOI https://doi.org/10.2147/JPR.S247529

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 4

Editor who approved publication: Dr Michael A Überall


Takahiko Yoshimoto,1 Hirotaka Ochiai,1 Takako Shirasawa,1 Satsue Nagahama,2 Akihito Uehara,1 Jun Muramatsu,1 Akatsuki Kokaze1

1Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, Shinagawa-Ku, Tokyo, Japan; 2All Japan Labor Welfare Foundation, Shinagawa-Ku, Tokyo, Japan

Correspondence: Takahiko Yoshimoto Email yoshimotot@med.showa-u.ac.jp

Purpose: Although many studies have indicated the association between low back pain (LBP) and lifestyle factors, the combined effect of lifestyle factors on LBP has not been adequately investigated. We aimed to investigate the association between a cluster of unhealthy lifestyle behaviors and LBP using a large cohort of Japanese adults.
Methods: We included 419,003 adults aged over 20 years who underwent an annual health checkup between April 2013 and March 2014 in Japan. Information on the following lifestyle factors was collected using the standardized questionnaire: smoking, alcohol intake, exercise, physical activity, walking speed, weight control, eating habits, and sleep. Each factor was evaluated as a dichotomous variable (1: health risk, 0: no health risk). A lifestyle risk score was calculated by summing the score of each lifestyle factor (range: 0– 12) and was categorized into three groups (low, moderate, high). LBP was defined as self-reported LBP under treatment. Logistic regression analysis was conducted to calculate the odds ratio (OR) and 95% confidence interval (CI) for LBP.
Results: In multivariable logistic regression analysis, the OR for LBP was significantly higher in the moderate-risk score group (adjusted OR: 1.33 [95% CI: 1.23– 1.44] in men; 1.40 [95% CI: 1.27– 1.54] in women) and the high-risk score group (adjusted OR: 1.54 [95% CI: 1.43– 1.67] in men; 1.83 [95% CI: 1.64– 2.03] in women) than in the low-risk score group. A trend of higher risk of LBP associated with higher lifestyle risk score was observed in both sexes (p for trend < 0.001). These results were similar even in subgroup analysis by age and body mass index (BMI).
Conclusion: Clustering of unhealthy lifestyles was associated with increased risk of LBP regardless of age and BMI. These results may provide implications for better prevention and management of LBP, considering modifiable lifestyle factors.

Keywords: lifestyle, low back pain, clustering, health checkup

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