ArticleBrain and behavior2025
Association Between Depressive Symptoms and Comorbidities Among Elderly Diabetic Individuals in China.
Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundDiabetic individuals are at an increased risk of mental illness and comorbidities. However, the precise association between depressive symptoms and comorbidity remains uncertain. Our study aimed to investigate this relationship among elderly Chinese diabetic patients.
methodsData from the China Health and Retirement Longitudinal Study (CHARLS) in 2020 were utilized for the cross-sectional analysis. Depressive status was defined as the dependent variable, while the presence, number, and type of comorbidities served as independent variables. Logistic regression analyses were performed, adjusting for potential demographic factors, and health status and functioning factors.
resultsOur findings indicate that diabetic patients with complications are more likely to experience depression. With the exception for dyslipidemia (OR = 1.195, 95% CI: 0.969, 1.475), individuals with hypertension, heart disease, stroke, kidney disease, memory-related disease, or arthritis/rheumatism were prone to develop depressive status in the fully adjusted model. After adjusting for covariates, diabetic patients with memory-related diseases exhibited the most pronounced association with depressive symptoms (OR = 2.673, 95% CI: 1.882, 3.797). Furthermore, an increasing number of depression-related comorbidities strengthened the association (p < 0.05). Sensitivity analysis revealed that there were no significant differences stratified by gender or marital status (p < 0.05).
conclusionsIn the elderly diabetic population in China, the presence, number, and type of comorbidities were independently associated with depressive symptoms. Diabetic patients with memory-related diseases displayed the highest likelihood of experiencing depressive status. These findings underscore the importance of implementing effective strategies for multimorbidity management in diabetic patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.