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已发表论文
基于 2013 - 2018 年美国国家健康与营养调查（NHANES）数据对 40 岁及以上成年人非心脏性胸痛（NCCP）风险因素与心理社会因素关联的研究
Received 6 June 2025
Accepted for publication 18 December 2025
Published 30 December 2025 Volume 2025:18 Pages 7245—7259
DOI https://doi.org/10.2147/JPR.S545282
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Alaa Abd-Elsayed
Yan Chen,1 Shan Li,2 Fenghui Guo3
1Department of Anesthesiology, Children’s Hospital of Hebei Province, Shijiazhuang, Hebei, 050071, People’s Republic of China; 2Department of Oncology, Hebei General Hospital, Shijiazhuang, Hebei, 050051, People’s Republic of China; 3Department of Anesthesiology, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, People’s Republic of China
Correspondence: Fenghui Guo, Email 49104854@hebmu.edu.cn
Background: Non-cardiac chest pain (NCCP) is a prevalent clinical symptom frequently associated with psychosocial factors. This study aimed to investigate the relationship between anxiety, depression, fatigue, and NCCP, with a particular focus on how these psychosocial factors influence the risk of NCCP occurrence.
Methods: Based on data from the NHANES database, we analyzed the clinical characteristics, psychosocial status, and the occurrence of non-cardiogenic chest pain in 4557 participants. After weighting, the sample size was 64,650,723.91. Spearman correlation analysis and weighted multivariable logistic regression models were used to explore the associations between anxiety, depression, fatigue, and non-cardiogenic chest pain and to assess the independent impact of these factors on the risk of non-cardiogenic chest pain.
Results: The results of the weighted logistic regression indicate that anxiety and depression are significantly associated with non-cardiac chest pain, and the severity of anxiety is positively correlated with the risk of non-cardiac chest pain (OR = 2.778, 95% CI = [2.772, 2.784]). Furthermore, compared with participants who reported “no fatigue at all”, those who reported feeling fatigued “almost every day” had a 1.927-fold higher risk of non-cardiac chest pain. Multivariate regression analysis identified depressive and anxious symptoms as important predictors of non-cardiac chest pain.
Conclusion: This study highlights the important role of psychosocial factors in the occurrence of Non-cardiac chest Pain, particularly the significant influence of anxiety, depression, and fatigue on Non-cardiac chest Pain risk. The findings underscore the need to incorporate psychosocial assessments into the clinical diagnosis and management of Non-cardiac chest Pain, offering new perspectives and strategies for pain management.
Keywords: non-cardiac chest pain, anxiety, depression, fatigue, psychosocial factors
1Department of Anesthesiology, Children’s Hospital of Hebei Province, Shijiazhuang, Hebei, 050071, People’s Republic of China; 2Department of Oncology, Hebei General Hospital, Shijiazhuang, Hebei, 050051, People’s Republic of China; 3Department of Anesthesiology, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, People’s Republic of China
Correspondence: Fenghui Guo, Email 49104854@hebmu.edu.cn
Background: Non-cardiac chest pain (NCCP) is a prevalent clinical symptom frequently associated with psychosocial factors. This study aimed to investigate the relationship between anxiety, depression, fatigue, and NCCP, with a particular focus on how these psychosocial factors influence the risk of NCCP occurrence.
Methods: Based on data from the NHANES database, we analyzed the clinical characteristics, psychosocial status, and the occurrence of non-cardiogenic chest pain in 4557 participants. After weighting, the sample size was 64,650,723.91. Spearman correlation analysis and weighted multivariable logistic regression models were used to explore the associations between anxiety, depression, fatigue, and non-cardiogenic chest pain and to assess the independent impact of these factors on the risk of non-cardiogenic chest pain.
Results: The results of the weighted logistic regression indicate that anxiety and depression are significantly associated with non-cardiac chest pain, and the severity of anxiety is positively correlated with the risk of non-cardiac chest pain (OR = 2.778, 95% CI = [2.772, 2.784]). Furthermore, compared with participants who reported “no fatigue at all”, those who reported feeling fatigued “almost every day” had a 1.927-fold higher risk of non-cardiac chest pain. Multivariate regression analysis identified depressive and anxious symptoms as important predictors of non-cardiac chest pain.
Conclusion: This study highlights the important role of psychosocial factors in the occurrence of Non-cardiac chest Pain, particularly the significant influence of anxiety, depression, and fatigue on Non-cardiac chest Pain risk. The findings underscore the need to incorporate psychosocial assessments into the clinical diagnosis and management of Non-cardiac chest Pain, offering new perspectives and strategies for pain management.
Keywords: non-cardiac chest pain, anxiety, depression, fatigue, psychosocial factors