Abstract

Some older adults with spinal deformity maintain standing posture via pelvic compensation when their center of gravity moves forward. Therefore, evaluations of global alignment should include both pelvic tilt (PT) and seventh cervical vertebra-sagittal vertical axis (C7-SVA). Here, we evaluate standing postures of older adults using C7-SVA with PT and investigate factors related to postural abnormality. This cross-sectional study used an established population-based cohort in Japan wherein 1121 participants underwent sagittal whole-spine radiography in a standing position and bioelectrical impedance analysis for muscle mass measurements. Presence of low back pain (LBP), visual analog scale (VAS) of LBP, and LBP-related disability (Oswestry Disability Index [ODI]) were evaluated. Based on the PT and C7-SVA, the participants were divided into four groups: normal, compensated, non-compensated, and decompensated. We defined the latter three categories as “malalignment” and examined group characteristics and factors. There were significant differences in ODI%, VAS and prevalence of LBP, and sarcopenia among the four groups, although these were non-significant between non-compensated and decompensated groups on stratified analysis. Moreover, the decompensated group was significantly associated with sarcopenia. Individuals with pelvic compensation are at increased risk for LBP and related disorders even with the C7-SVA maintained within normal range.

Details

Title
Pelvic compensation accompanying spinal malalignment and back pain-related factors in a general population: the Wakayama spine study
Author
Murata, Shizumasa 1 ; Hashizume, Hiroshi 1 ; Tsutsui, Shunji 1 ; Oka, Hiroyuki 2 ; Teraguchi, Masatoshi 1 ; Ishomoto, Yuyu 1 ; Nagata, Keiji 1 ; Takami, Masanari 1 ; Iwasaki, Hiroshi 1 ; Minamide, Akihito 3 ; Nakagawa, Yukihiro 4 ; Tanaka, Sakae 5 ; Yoshimura, Noriko 6 ; Yoshida, Munehito 7 ; Yamada, Hiroshi 1 

 Wakayama Medical University, Department of Orthopaedic Surgery, Wakayama City, Japan (GRID:grid.412857.d) (ISNI:0000 0004 1763 1087) 
 The University of Tokyo, Division of Musculoskeletal AI System Development, Graduate School of Medicine, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
 Wakayama Medical University, Department of Orthopaedic Surgery, Wakayama City, Japan (GRID:grid.412857.d) (ISNI:0000 0004 1763 1087); Dokkyo Medical University Nikko Medical Center, Spine Center, Nikko City, Japan (GRID:grid.255137.7) (ISNI:0000 0001 0702 8004) 
 Wakayama Medical University Kihoku Hospital, Spine Care Center, Wakayama, Japan (GRID:grid.460141.6) 
 The University of Tokyo, Department of Orthopaedic Surgery, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
 The University of Tokyo, Department of Preventive Medicine for Locomotive Organ Disorders, 22nd Century Medical and Research Center, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
 Wakayama Medical University, Department of Orthopaedic Surgery, Wakayama City, Japan (GRID:grid.412857.d) (ISNI:0000 0004 1763 1087); Sumiya Orthopaedic Hospital, Department of Orthopedic Surgery, Wakayama, Japan (GRID:grid.412857.d) 
Pages
11862
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2840675579
Copyright
© The Author(s) 2023. corrected publication 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.