Association between Body Composition and Chronic Low Back Pain in Korean Adults Aged over 50 Years: The Korea National Health and Nutrition Examination Survey (KNHANES) 2010–2011

Author:

Shim Jae-Geum,Ryu Kyoung-Ho,Cho Eun-Ah,Ahn Jin Hee,Park Jiyeon,Lee Hyo-Won,Kang Suji,Han So Young,Lee Sung Hyun

Abstract

Background: The relationship between overweight or obesity and low back pain (LBP) has previously been investigated. Several recent studies have focused on the relationship between other indicators of obesity, particularly indicators of fat, and the risk of LBP. However, the results of body composition and LBP have been inconsistent. Methods: All data for the present retrospective, cross-sectional study were extracted from the Korea National Health and Nutrition Examination Survey (KNHANES) versions V-1 and 2 conducted in 2010 and 2011 by the Korea Centers for Disease Control and Prevention. In KNHANES V-1 (2010) and V-2 (2011), those over 50 years of age who completed the surveys on LBP, body weight, and body composition assessed using dual-energy X-ray absorptiometry were included. The multivariable logistic regression analysis was used to examine the relationship between the presence of chronic LBP and body composition adjusting for confounders. Results: We analyzed 3,579 persons who completed the question. In the multivariable analyses adjusting for age and sex, none of the variables, including fat mass and fat-free mass, remained positively or negatively associated with LBP. Additionally, when depression, smoking, alcohol intake, physical activity, diabetes mellitus, osteoporosis, and fat or lean tissue mass were included in the multivariable logistic model, no significant associations were found between all measures of fat mass, fat-free mass, and LBP. Conclusion: The results of this study are contrary to previous studies which concluded that there is a correlation between obesity and fat mass and LBP. Our study shows that LBP is not associated with increased levels of obesity and fat mass.

Publisher

S. Karger AG

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3