Background: This study explored the relationship between Adverse Childhood Experiences (ACE), physical pain, and depressive symptoms, and examined the mediating role of pain in the correlation between ACE and depressive symptoms among middle-aged and elderly Chinese (over the age of 45).
Methods: Cox proportional hazards regression models were used to analysis the association between ACE, physical pain, and depressive symptoms. To assess the mediating role of physical pain in the relationship between ACE and depressive symptoms, mediation analysis was conducted. Indirect, direct, and total effects were estimated by combining mediation and outcome models, adjusting for relevant covariates. Bayesian network models were used to visually demonstrate the interrelations between factors influencing depressive symptoms, further verifying the association between ACE, physical pain, and depressive symptoms.
Results: In the fully adjusted model, middle-aged and elderly individuals reporting ACE had a higher risk of developing depressive symptoms (hazard ratios [HR] and 95% confidence intervals [95% CI], 1.379 [1.266-1.503]). Compared to those without physical pain, individuals reporting severe physical pain were at an increased risk of depressive symptoms (HR [95% CI], 1.438 [1.235-1.673]). The risk was even higher for those with both ACE and severe physical pain compared to those with neither (HR [95% CI], 2.020 [1.630-2.505]). The intensity of pain explained 7.48% of the association between ACE and depressive symptoms, while the number of pain sites accounted for 7.86%.
Conclusions: Physical pain partially mediated the association between ACE and depressive symptoms. The study findings highlighted the importance of early screening and intervention for physical pain in middle-aged and older adults with ACE.
Clinical Trial Number: Not applicable.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11668061 | PMC |
http://dx.doi.org/10.1186/s12888-024-06312-y | DOI Listing |
J Nephrol
January 2025
School of Life and Medical Sciences, University of Hertfordshire, College Lane Campus, Hatfield, UK.
Background: Depression and anxiety are commonly experienced by people with chronic kidney disease (CKD). This study aimed to evaluate person- and service-level factors associated with depression and anxiety symptoms. We sought to also understand utilisation of mental health treatments and preferences for future psychological support.
View Article and Find Full Text PDFIntegr Cancer Ther
January 2025
Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Background: The incidence and mortality of lung cancer is the highest among malignant tumors worldwide, and it seriously threatens human life and health. Surgery is the primary radical treatment for lung cancer. However, patients often experience discomfort, changes in social roles, economic pressures, and other postsurgical challenges.
View Article and Find Full Text PDFPerm J
January 2025
Department of Psychiatry, Kaiser Permanente Oakland Medical Center, Oakland, CA, USA.
Background: Multiple studies have demonstrated associations between psychiatric conditions and Parkinson's disease (PD) development; fewer have examined psychotic-spectrum disorders and PD development.
Objective: The objective was to assess the prevalence of psychotic-spectrum disorders with and without depression and anxiety preceding a PD diagnosis.
Methods: In this retrospective, case-control study of adults > 60 years of age, cases were identified by PD diagnosis and controls were identified in a 3:1 ratio by ambulatory encounter from 2015 to 2020.
BMC Med Res Methodol
January 2025
Department of Women's and Children's Health - Obstetric & Reproductive Health Research, Uppsala University, Uppsala, 751 85, Sweden.
Background: Peripartum depression is a common but potentially debilitating pregnancy complication. Mobile applications can be used to collect data throughout the pregnancy and postpartum period to improve understanding of early risk indicators.
Aim: This study aimed to improve understanding of why women drop out of a peripartum depression mHealth study, and how we can improve the app design.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!