Association between changes in depressive symptoms and risk of anemia: from the China Health and Retirement longitudinal study
Year: 2024
Type: article
Abstract: BACKGROUND: Previous studies have reported that anemia was associated with depression, but the association between changes in depressive symptoms and the risk of anemia was unclear. This study aimed to explore whether changes in depressive symptoms were associated with anemia among the middle-aged and elderly adults. METHODS: A total of 6112 patients aged 45 years and older from the China Health and Retirement Longitudinal Study (CHARLS) were included in this analysis. Elevated Depression Symptoms (EDS) was defined as the Center for Epidemiological Studies Depression Scale-10 score ≥ 10. Depression status was defined as no depressive symptom [no EDS at Wave 1 (2011-2012) and Wave 2 (2013-2014)], decreasing depressive symptoms (EDS at Wave 1, no EDS at Wave 2), increasing depressive symptoms (no EDS at Wave 1, EDS at Wave 2), persistent depressive symptoms (EDS at Wave 1 and Wave 2). Multivariable logistic regression analyses were conducted to estimate the relationships between depressive symptoms and the changes and risk of anemia. RESULTS: During the follow-up of Wave 1 and Wave 3 (2015-2016), 906 participants (14.82%) developed anemia, the multivariable-adjusted odds ratio for the depressive symptom compared with the no depressive symptom was 1.24 (95% CI, 1.12-1.58) for anemia. From Wave 2 to Wave 3, there were 828 participants (14.62%) diagnosed with anemia. Compared to participants with no depressive symptom, those with persistent depressive symptoms during Wave 1 and Wave 2 had the significantly elevated risk of anemia (odds ratio 1.44, 95% CI 1.21-1.84). CONCLUSIONS: The present study demonstrated that baseline depressive symptoms and changes in depressive symptoms were associated with increased risks of anemia.
Source: Archives of Public Health
Authors: Yucong Bi, Liping Zheng, Leping Zhang, Longyang Han, Yang Liu, Xiaowei Zheng, Chongke Zhong
Language: English
Subfield: Hematology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,790
Awards: Mega Meta Data Set of the Health and Retirement Surveys Around the World, G3731381399, Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in India, G4630218722, G5610165470, Integrating Information about Aging Surveys: Novel Integration of Contextual Data to Study Late-Life Cognition and Alzheimer’s Disease and Related Dementia and Dementia Care, G92978513
OpenAlex ID: W4403376623
