Shakila Meshkat, Vanessa K Tassone, Sarah Dunnett, Hilary Pang, Michelle Wu, Josheil K Boparai, Hyejung Jung, Wendy Lou, Venkat Bhat
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引用次数: 0
Abstract
Background: Despite the frequent co-occurrence of depression and diabetes, gender differences in their relationship remain unclear.
Aims: This exploratory study examined if gender modifies the association between depressive symptoms, prediabetes and diabetes with cognitive-affective and somatic depressive symptom clusters.
Method: Cross-sectional analyses were conducted on 29 619 participants from the 2007-2018 National Health and Nutrition Examination Survey. Depressive symptoms were measured by the nine-item Patient Health Questionnaire. Multiple logistic regression was used to analyse the relationship between depressive symptoms and diabetes. Multiple linear regression was used to analyse the relationship between depressive symptom clusters and diabetes.
Results: The odds of having depressive symptoms were greater in those with diabetes compared to those without. Similarly, total symptom cluster scores were higher in participants with diabetes. Statistically significant diabetes-gender interactions were found in the cognitive-affective symptom cluster model. Mean cognitive-affective symptom scores were higher for females with diabetes (coefficient = 0.23, CI: 0.10, 0.36, P = 0.001) than males with diabetes (coefficient = -0.05, CI: -0.16, 0.07, P = 0.434) when compared to the non-diabetic groups.
Conclusions: Diabetes was associated with higher cognitive-affective symptom scores in females than in males. Future studies should examine gender differences in causal pathways and how diabetic states interact with gender and influence symptom profiles.
期刊介绍:
Announcing the launch of BJPsych Open, an exciting new open access online journal for the publication of all methodologically sound research in all fields of psychiatry and disciplines related to mental health. BJPsych Open will maintain the highest scientific, peer review, and ethical standards of the BJPsych, ensure rapid publication for authors whilst sharing research with no cost to the reader in the spirit of maximising dissemination and public engagement. Cascade submission from BJPsych to BJPsych Open is a new option for authors whose first priority is rapid online publication with the prestigious BJPsych brand. Authors will also retain copyright to their works under a creative commons license.