Junjian Zeng , Zhiqiang Liao , Aiqing Lin , Yu Zou , Yixun Chen , Zhonghua Liu , Zhidong Zhou
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引用次数: 0
Abstract
Background
Chronic pain poses a significant public health challenge, yet its manifestation in multiple body areas remains insufficiently studied. This study seeks to explore the relationship between chronic pain affecting multiple sites and depression.
Methods
We analyzed data from the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2010 regarding chronic pain and depression, employing weighted univariate and multivariate logistic regression analyses to explore the relationship between the number of body sites impacted by chronic pain and depression rates. Furthermore, subgroup analyses were performed to identify possible confounding factors that could affect this relationship.
Results
There is a correlation between chronic pain and higher risk of depression (OR 3.821, 95% CI 3.138–4.646, P < 0.001). The multivariable-adjusted observational study indicates that, compared to individuals without chronic pain, the risk of depression is significantly associated with an increasing number of body sites affected by chronic pain. Specifically, when a person experiences chronic pain in five different areas, the risk of depression peaks (OR 16.050, 95% CI 8.723–29.905, P < 0.001).
Conclusion
The findings of this study indicate a significant correlation between chronic pain in multiple sites and depressive symptoms.
期刊介绍:
Founded in 1961 to report on the latest work in psychiatry and cognate disciplines, the Journal of Psychiatric Research is dedicated to innovative and timely studies of four important areas of research:
(1) clinical studies of all disciplines relating to psychiatric illness, as well as normal human behaviour, including biochemical, physiological, genetic, environmental, social, psychological and epidemiological factors;
(2) basic studies pertaining to psychiatry in such fields as neuropsychopharmacology, neuroendocrinology, electrophysiology, genetics, experimental psychology and epidemiology;
(3) the growing application of clinical laboratory techniques in psychiatry, including imagery and spectroscopy of the brain, molecular biology and computer sciences;