Liechti Melanie, Menegon Massimo, Schurz Alexander Philipp, Taeymans Jan, Baur Heiner, Clijsen Ron, Malfliet Anneleen, Lutz Nathanael
School of Health Professions, Bern University of Applied Sciences, Bern, Switzerland.
Department of Movement and Sport Sciences, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium.
Obes Rev. 2025 Apr;26(4):e13875. doi: 10.1111/obr.13875. Epub 2024 Dec 2.
This systematic review and meta-analysis evaluated the association between pain intensity and different body composition measures in adults suffering from chronic non-specific low back pain (CNLBP).
A systematic literature search across five databases-PubMed, Embase, CINAHL, Web of Science, and the Cochrane Library-was conducted. It identified observational studies published until January 2024. A meta-analysis was conducted incorporating a random-effects approach with Fisher's Z transformation. A critical appraisal of the included studies' quality was conducted.
Twenty-two studies were included. Of those, 20 were meta-analyzed, revealing positive, very weak correlations between pain intensity and body mass index (r = 0.11; 95% CI: 0.04 to 0.18), waist-hip ratio (r = 0.10; 95% CI: -0.14 to 0.34) and waist circumference (r = 0.09; 95% CI: -0.28 to 0.44). Not pooled study findings (e.g., hip circumference and body fat percentage) were narratively summarized, revealing 13 positive and four negative associations between pain intensity and body composition measures. Studies showed a substantial risk of bias due to unadjusted confounding factors and limited transferability of findings.
This systematic review and meta-analysis provided very low-quality evidence for a positive, very weak association between pain intensity and body composition measures in adults with overweight and obesity suffering from CNLBP. The included studies had a substantial risk of bias due to their observational and cross-sectional study designs, which prevents recommendations for clinical practice. Randomized controlled trials are needed to investigate the causal effect of interventions on body composition measures and pain intensity.
本系统评价和荟萃分析评估了慢性非特异性下腰痛(CNLBP)成人患者疼痛强度与不同身体成分测量指标之间的关联。
在五个数据库(PubMed、Embase、CINAHL、Web of Science和Cochrane图书馆)中进行了系统的文献检索。确定了截至2024年1月发表的观察性研究。采用随机效应方法和Fisher's Z变换进行荟萃分析。对纳入研究的质量进行了批判性评价。
纳入了22项研究。其中20项进行了荟萃分析,结果显示疼痛强度与体重指数(r = 0.11;95% CI:0.04至0.18)、腰臀比(r = 0.10;95% CI:-0.14至0.34)和腰围(r = 0.09;95% CI:-0.28至0.44)之间存在正相关,但相关性非常弱。对未纳入荟萃分析的研究结果(如臀围和体脂百分比)进行了叙述性总结,结果显示疼痛强度与身体成分测量指标之间有13个正相关和4个负相关。研究表明,由于未调整的混杂因素和研究结果的可转移性有限,存在很大的偏倚风险。
本系统评价和荟萃分析为超重和肥胖的CNLBP成人患者疼痛强度与身体成分测量指标之间存在正相关但非常弱的关联提供了极低质量的证据。由于纳入研究的观察性和横断面研究设计,存在很大的偏倚风险,因此无法为临床实践提供建议。需要进行随机对照试验来研究干预措施对身体成分测量指标和疼痛强度的因果效应。