European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
The relationship between muscle mass and low back pain: a cross-sectional study.
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Chen Rudong, Yang Congwen, Tang Xiaofu, Han Shijie, Kuang Mingjie, Li Xiaoming
Аннотация
OBJECTIVE: To investigate the relationship between ASM/BMI (Appendicular Skeletal Muscle Mass/ body mass index) and low back pain.
METHODS: Participants from the National Health and Nutrition Examination Survey (NHANES 1999 ~ 2004) were included. Multiple logistic regression modeling was used to explore the relationship between ASM/BMI and low back pain.
RESULT: A total of 11,738 participants were included in this study, and there were significant differences between the pain group and non-pain group in terms of sex, race, poverty-to-income ratio, and educational attainment. We analyzed ASM/BMI by quartiles into Q1, Q2, Q3, and Q4 into four groups, and the results showed that participants in Q4 had a significantly lower risk of low back pain compared to those in Q1 (p = 0.003); No significant difference in low back pain risk was observed between Q2, Q3, and Q1. Subgroup analyses suggest that the role of elevated ASM/BMI in reducing the risk of low back pain may be more pronounced in women and in individuals aged 40-59 years.
CONCLUSION: This study demonstrated that there is a negative correlation between ASM/BMI and low back pain, and that the negative correlation between ASM/BMI and low back pain is more significant in women and in individuals aged 40-59 years. This suggests that incorporating ASM/BMI assessment into clinical evaluations could improve risk stratification for low back pain, particularly in women and middle-aged populations (40-59 years).
METHODS: Participants from the National Health and Nutrition Examination Survey (NHANES 1999 ~ 2004) were included. Multiple logistic regression modeling was used to explore the relationship between ASM/BMI and low back pain.
RESULT: A total of 11,738 participants were included in this study, and there were significant differences between the pain group and non-pain group in terms of sex, race, poverty-to-income ratio, and educational attainment. We analyzed ASM/BMI by quartiles into Q1, Q2, Q3, and Q4 into four groups, and the results showed that participants in Q4 had a significantly lower risk of low back pain compared to those in Q1 (p = 0.003); No significant difference in low back pain risk was observed between Q2, Q3, and Q1. Subgroup analyses suggest that the role of elevated ASM/BMI in reducing the risk of low back pain may be more pronounced in women and in individuals aged 40-59 years.
CONCLUSION: This study demonstrated that there is a negative correlation between ASM/BMI and low back pain, and that the negative correlation between ASM/BMI and low back pain is more significant in women and in individuals aged 40-59 years. This suggests that incorporating ASM/BMI assessment into clinical evaluations could improve risk stratification for low back pain, particularly in women and middle-aged populations (40-59 years).