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ABSTRACT: Background
Current research offers limited clarity on the correlation between waist circumference and chronic pain prevalence.Objective
This investigation seeks to elucidate the potential relationship between waist circumference and chronic pain and their causal association.Methods
An observational study was conducted, leveraging data from the National Health and Nutrition Examination Survey (NHANES) collected between 2001 and 2004. The multivariable logistic regression was used to assess the relationship between waist circumference and chronic pain. Furthermore, a meta-analysis of Mendelian Randomization (MR) was applied to explore a causal relationship between waist circumference and pain.Results
The observational study, post multivariable adjustment, indicated that an increase in waist circumference by 1 dm (decimeter) correlates with a 14% elevation in chronic pain risk (Odds Ratio [OR] = 1.14, 95% Confidence Interval [CI]: 1.04-1.24, p = 0.01). Moreover, the meta-analysis of MR demonstrated that an increased waist circumference was associated with a genetic predisposition to pain risk (OR = 1.14, 95%CI: 1.06-1.23, p = 0.0007).Conclusion
Observational analysis confirmed a significant relationship between increased waist circumference and the incidence of chronic pain, and results based on MR Study identified increased waist circumference as potentially causal for pain.
SUBMITTER: Xu T
PROVIDER: S-EPMC11310123 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature
Xu Ting T Jin Fan F Yu Yeting Y He Jie J Yang Ren R Lv Tian T Yan Zhangjun Z
Frontiers in nutrition 20240726
<h4>Background</h4>Current research offers limited clarity on the correlation between waist circumference and chronic pain prevalence.<h4>Objective</h4>This investigation seeks to elucidate the potential relationship between waist circumference and chronic pain and their causal association.<h4>Methods</h4>An observational study was conducted, leveraging data from the National Health and Nutrition Examination Survey (NHANES) collected between 2001 and 2004. The multivariable logistic regression w ...[more]