Causal relationship between educational attainment and chronic pain: A Mendelian randomization study

Educational attainment (EA) is often used as a symbol of socioeconomic status and is associated with several diseases. However, uncertainty remains regarding the potential relationship between EA and chronic pain. This study aimed to evaluate the potential causal association between EA and chronic pain. The primary method employed in Mendelian randomization (MR) analysis was inverse-variance weighted method. Additionally, MR-Egger intercept, Cochran Q, and MR-PRESSO statistical analyses were conducted to assess potential pleiotropy and heterogeneity. The MR analysis provided evidence that genetically predicted additional education significantly reduced the risk of chronic pain. Specifically, this genetic factor may reduce multisite chronic pain by 27.6%, and chronic widespread pain by 3.8%. The results of sensitivity analysis indicated the reliability of our causal estimates. Higher levels of EA may provide protection against chronic pain risk. Enhancing education, narrowing social and economic disparities may help alleviate the burden of chronic pain.

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Publication Details

Journal
Medicine
Published
2024-09-13
DOI
https://doi.org/10.1097/md.0000000000039301
Citations
4
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
2.20
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article

Causal relationship between educational attainment and chronic pain: A Mendelian randomization study

Debin Xu, Shuning Liu
4 citations
Medicine
Genetic Associations and Epidemiology
2.20
article

Causal relationship between educational attainment and chronic pain: A Mendelian randomization study

Debin Xu, Shuning Liu
article en
4 citations

Abstract

Educational attainment (EA) is often used as a symbol of socioeconomic status and is associated with several diseases. However, uncertainty remains regarding the potential relationship between EA and chronic pain. This study aimed to evaluate the potential causal association between EA and chronic pain. The primary method employed in Mendelian randomization (MR) analysis was inverse-variance weighted method. Additionally, MR-Egger intercept, Cochran Q, and MR-PRESSO statistical analyses were conducted to assess potential pleiotropy and heterogeneity. The MR analysis provided evidence that genetically predicted additional education significantly reduced the risk of chronic pain. Specifically, this genetic factor may reduce multisite chronic pain by 27.6%, and chronic widespread pain by 3.8%. The results of sensitivity analysis indicated the reliability of our causal estimates. Higher levels of EA may provide protection against chronic pain risk. Enhancing education, narrowing social and economic disparities may help alleviate the burden of chronic pain.

MedicineVol. 103(37)
Changchun University of Chinese Medicine (CN)
Quality Education
Openalex Percentile: Top 12%
Genetic Associations and Epidemiology
2.20
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