Literature DB >> 32975014

The relationship between diabetes and depressive symptoms in men with or at risk of HIV infection.

R C Basil1, T T Brown1, S Haberlen1, L H Rubin1, M Plankey2, J T Becker3, J E Lake4, F J Palella5, S Sarkar1.   

Abstract

OBJECTIVES: The aim of the study was to compare the prevalence of comorbid diabetes and depressive symptoms in men living with HIV (MLWH) with that in men without HIV infection and to determine associations between glycaemic control and depressive symptoms.
METHODS: Participants included 920 MLWH and 840 men without HIV infection from the Multicenter AIDS Cohort Study (MACS) with available data regarding glycaemic status [categorized as normal for fasting blood glucose (FBG) < 100 mg/dL, prediabetes for FBG 100-125 mg/dL, and diabetes, defined by self-report, diabetes medication use or FBG ≥ 126 mg/dL on at least two consecutive visits, with diabetes classified as controlled if Hemoglobin A1c (HbA1C) < 7.5% and uncontrolled if HbA1C ≥ 7.5%]. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression (CES-D) score, with CES-D ≥ 16 scores classified as elevated depressive symptoms. A modified Poisson regression model with robust variance was used and adjusted for covariates including HIV serostatus.
RESULTS: Compared to men without HIV infection, MLWH had a higher mean CES-D score, but a similar prevalence of diabetes (11.3% versus 12.8%, respectively; P = 0.33). The concomitant prevalence of diabetes and elevated depressive symptoms did not differ by HIV serostatus (P = 0.215). In an adjusted analysis, men with uncontrolled diabetes had a greater prevalence of depressive symptoms compared to men with normoglycaemia (prevalence ratio = 1.43; 95% confidence interval 1.11, 1.84). The association between glycaemic status and depressive symptoms did not differ by HIV serostatus (P = 0.22 for interaction).
CONCLUSIONS: Both controlled and uncontrolled diabetes were independently associated with a greater prevalence of depressive symptoms, regardless of HIV serostatus. These results highlight the importance of identifying depression in people with diabetes.
© 2020 British HIV Association.

Entities:  

Keywords:  HIV; depressive symptoms; diabetes

Mesh:

Substances:

Year:  2020        PMID: 32975014      PMCID: PMC8211402          DOI: 10.1111/hiv.12958

Source DB:  PubMed          Journal:  HIV Med        ISSN: 1464-2662            Impact factor:   3.180


  42 in total

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2.  Optimal metrics for identifying long term patterns of depression in older HIV-infected and HIV-uninfected men who have sex with men.

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4.  The prevalence of comorbid depression in adults with diabetes: a meta-analysis.

Authors:  R J Anderson; K E Freedland; R E Clouse; P J Lustman
Journal:  Diabetes Care       Date:  2001-06       Impact factor: 19.112

5.  Association Between Depressive Symptom Patterns and Clinical Profiles Among Persons Living with HIV.

Authors:  N E Kelso-Chichetto; C N Okafor; R L Cook; A G Abraham; R Bolan; M Plankey
Journal:  AIDS Behav       Date:  2018-05

Review 6.  The Fat of the Matter: Obesity and Visceral Adiposity in Treated HIV Infection.

Authors:  Jordan E Lake
Journal:  Curr HIV/AIDS Rep       Date:  2017-12       Impact factor: 5.071

7.  Unadjusted and adjusted prevalence of diagnosed depression in type 2 diabetes.

Authors:  Gregory A Nichols; Jonathan B Brown
Journal:  Diabetes Care       Date:  2003-03       Impact factor: 19.112

Review 8.  Circadian rhythm disturbances in depression.

Authors:  Anne Germain; David J Kupfer
Journal:  Hum Psychopharmacol       Date:  2008-10       Impact factor: 1.672

Review 9.  Interactions between sleep, circadian function, and glucose metabolism: implications for risk and severity of diabetes.

Authors:  Sirimon Reutrakul; Eve Van Cauter
Journal:  Ann N Y Acad Sci       Date:  2014-03-14       Impact factor: 5.691

Review 10.  Examining the associations between HIV-related stigma and health outcomes in people living with HIV/AIDS: a series of meta-analyses.

Authors:  Sergio Rueda; Sanjana Mitra; Shiyi Chen; David Gogolishvili; Jason Globerman; Lori Chambers; Mike Wilson; Carmen H Logie; Qiyun Shi; Sara Morassaei; Sean B Rourke
Journal:  BMJ Open       Date:  2016-07-13       Impact factor: 2.692

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