Causal Relationship Between Psychosocial Factors and Neck Pain: A Two-Sample Mendelian Randomization Study

Haibo Liang,1,2,* Qihang Wu,1,2,* Shu Yang,1,2,* Shuhao Zhang,1,2 Jiansen Miao,1,2 Haiming Jin,1,2 Xiangyang Wang1,2 1Division of Spine Surgery, Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China; 2School of The Second Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiangyang Wang, Email [email protected]; Haiming Jin, Email [email protected]: Neck pain (NP) is a multifactorial disorder that leads to severe disability. This study aimed to investigate whether potential risk factors have a causal effect on NP at the genetic level using a two-sample Mendelian randomization (MR) analysis.Methods: Summary-level data for potential risk factors, including distress, anxiety disorder, depression, mood, sleep disorder, loneliness, education, alcohol consumption, smoking, time spent using the computer, and physical activity, as well as NP, were obtained from multiple large-scale Genome-Wide Association Studies (GWAS). Instrumental variables (IVs) were extracted from these datasets. We employed inverse variance weighting (IVW), weighted median, and MR-Egger regression methods to assess causal effects. Heterogeneity was evaluated using MR-Egger regression and IVW, while horizontal pleiotropy was assessed using MR-PRESSO analysis and MR-Egger regression.Results: The IVW results showed that major depressive disorder (OR = 1.51, 95% CI: 1.15, 1.98, p = 3.40× 10− 3) and experiencing mood swings (OR = 2.73, 95% CI: 1.57, 4.75, p = 3.86× 10− 4) were positively associated with NP and years of schooling (OR = 0.504, 95% CI: 0.410, 0.619, p = 6.55× 10− 11) was negatively associated with NP. Additionally, loneliness (OR = 16.0, 95% CI: 1.29– 198, p = 0.0307) showed a suggestive association with NP. As for the other factors we did not find a clear causal relationship (All p-values > 0.05).Conclusion: This two-sample MR study provides genetic evidence supporting a causal relationship between major depressive disorder, mood swings, and years of schooling with NP, while loneliness showed a potential association. These findings highlight the critical role of psychosocial factors, such as depression, mood swings, and education level, in the prevention and management of NP. Our results may offer new insights for clinicians to develop targeted intervention strategies aimed at reducing the incidence of NP.Keywords: genome-wide association study, Mendelian randomization analysis, neck pain, psychosocial factor

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
Primary Topic
Magneto-Optical Properties and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Causal Relationship Between Psychosocial Factors and Neck Pain: A Two-Sample Mendelian Randomization Study

SHILAP Revista de lepidopterología
Magneto-Optical Properties and Applications
article

Causal Relationship Between Psychosocial Factors and Neck Pain: A Two-Sample Mendelian Randomization Study

article en

Abstract

Haibo Liang,1,2,* Qihang Wu,1,2,* Shu Yang,1,2,* Shuhao Zhang,1,2 Jiansen Miao,1,2 Haiming Jin,1,2 Xiangyang Wang1,2 1Division of Spine Surgery, Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China; 2School of The Second Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiangyang Wang, Email [email protected]; Haiming Jin, Email [email protected]: Neck pain (NP) is a multifactorial disorder that leads to severe disability. This study aimed to investigate whether potential risk factors have a causal effect on NP at the genetic level using a two-sample Mendelian randomization (MR) analysis.Methods: Summary-level data for potential risk factors, including distress, anxiety disorder, depression, mood, sleep disorder, loneliness, education, alcohol consumption, smoking, time spent using the computer, and physical activity, as well as NP, were obtained from multiple large-scale Genome-Wide Association Studies (GWAS). Instrumental variables (IVs) were extracted from these datasets. We employed inverse variance weighting (IVW), weighted median, and MR-Egger regression methods to assess causal effects. Heterogeneity was evaluated using MR-Egger regression and IVW, while horizontal pleiotropy was assessed using MR-PRESSO analysis and MR-Egger regression.Results: The IVW results showed that major depressive disorder (OR = 1.51, 95% CI: 1.15, 1.98, p = 3.40× 10− 3) and experiencing mood swings (OR = 2.73, 95% CI: 1.57, 4.75, p = 3.86× 10− 4) were positively associated with NP and years of schooling (OR = 0.504, 95% CI: 0.410, 0.619, p = 6.55× 10− 11) was negatively associated with NP. Additionally, loneliness (OR = 16.0, 95% CI: 1.29– 198, p = 0.0307) showed a suggestive association with NP. As for the other factors we did not find a clear causal relationship (All p-values > 0.05).Conclusion: This two-sample MR study provides genetic evidence supporting a causal relationship between major depressive disorder, mood swings, and years of schooling with NP, while loneliness showed a potential association. These findings highlight the critical role of psychosocial factors, such as depression, mood swings, and education level, in the prevention and management of NP. Our results may offer new insights for clinicians to develop targeted intervention strategies aimed at reducing the incidence of NP.Keywords: genome-wide association study, Mendelian randomization analysis, neck pain, psychosocial factor

SHILAP Revista de lepidopterología
Openalex Percentile: Top 51%
Magneto-Optical Properties and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.