Efficacy of Depression Management in an Integrated Psychiatric-Diabetes Education Clinic for Comorbid Depression and Diabetes Mellitus Types 1 and 2.

Can J Diabetes

Southlake Regional Health Centre, Newmarket, Ontario, Canada; University of Toronto, Faculty of Medicine, Toronto, Ontario, Canada. Electronic address:

Published: August 2020

Objectives: Patients with type 1 and type 2 diabetes mellitus (DM) are 2 times as predisposed to developing mood disorders, such as major depressive disorder (MDD), compared with patients without diabetes. Management of comorbid MDD and DM remains a challenge because patients often suffer from poor medication compliance, lifestyle factors and refractory depression. Integration of psychiatric care into diabetes education clinics (DECs) has been suggested as an effective method of managing the comorbid conditions. As this strategy is being implemented into clinical care, its effectiveness in practice warrants further research.

Methods: A retrospective chart review of 24 patients (10 men and 14 women) followed by an integrated psychiatry-DEC in Newmarket, Ontario, Canada, between April 2016 and July 2019 was performed. Depressive symptom severity at each appointment was assessed with the Patient Health Questionnaire-9 (PHQ-9) depression rating scale.

Results: There was no significant change in PHQ-9 depression rating scale scoring between the first and most recent appointments (paired t test, p=0.356); however, patients who had improved PHQ-9 scoring were more likely to have more clinic visits (analysis of variance, p=0.0271). A significant negative correlation was found between both number of visits (Pearson coefficient, -0.56; p=0.005) and overall time the patients were followed by DEC (Pearson coefficient, -0.42; p=0.040) and PHQ-9 score changes between the first and most recent appointments. PHQ-9 change between individual appointments also displayed a positive correlation with time between appointments (Pearson coefficient, 0.26; p=0.027).

Conclusions: Regular follow up in a psychiatry-DEC service might be beneficial in managing MDD symptom severity for comorbid MDD and DM.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jcjd.2020.03.013DOI Listing

Publication Analysis

Top Keywords

diabetes mellitus
8
comorbid mdd
8
symptom severity
8
phq-9 depression
8
depression rating
8
patients
6
phq-9
5
efficacy depression
4
depression management
4
management integrated
4

Similar Publications

Objective: Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder that significantly impairs muscle regeneration following injuries, contributing to numerous complications and reduced quality of life. There is an urgent need for therapeutic strategies that can enhance muscle regeneration and alleviate these pathological mechanisms. In this study, we evaluate the therapeutic efficacy of W-GA nanodots, which are composed of gallic acid (GA) and tungstate (W6+), on muscle regeneration in type 2 diabetes mellitus (T2D)-induced muscle injury, with a focus on their anti-inflammatory and antioxidative effects.

View Article and Find Full Text PDF

Dates fruit effects on dyslipidemia among patients with Type-2 diabetes mellitus: A systematic review and meta-analysis of randomized trials.

Pak J Med Sci

January 2025

Amirah Alhowiti Assistant Professor of Family Medicine, Department of Family and Community Medicine, Faculty of Medicine, University of Tabuk, Saudi Arabia.

Objectives: Dyslipidemias are major risk factors for cardiovascular disease, and other comorbidities. The focus on food and nutrition to prevent and treat cardiovascular risk factors including dyslipidemia is a paradigm shift. This is the first meta-analysis to assess the association of dates fruit and dyslipidemia in Type-2 diabetes.

View Article and Find Full Text PDF

Association between Pre-pregnancy BMI and Pregnancy Outcomes in Women with Gestational Diabetes: A Retrospective Cohort Study.

Pak J Med Sci

January 2025

Lin Lin Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical, University, Fuzhou, Fujian, China.

Background & Objective: The specific influence of the pre-pregnancy body mass index (PPBMI) on women with gestational diabetes mellitus (GDM) is unclear. Our objective was to investigate how PPBMI categories affect pregnancy and neonatal outcomes in women with GDM.

Methods: A retrospective cohort study was conducted using data from patients attending the Fujian Maternity and Child Health Hospital (Fuzhou, China) from 2021 to 2023.

View Article and Find Full Text PDF

Influence of parity on weight gain during pregnancy in women with Gestational Diabetes: A retrospective cohort study.

Pak J Med Sci

January 2025

Lianghui Zheng Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics, Gynecology and Pediatrics, Fujian Medical University. P.R. China.

Objective: This retrospective cohort study aimed to investigate the effects of parity on gestational weight gain (GWG) and its association with maternal and neonatal outcomes in women with gestational diabetes mellitus (GDM).

Methods: This retrospective cohort study data from 2,909 pregnant women with GDM who delivered between 2021 and 2023 at Fujian Maternity and Child Health hospital, were analyzed. Participants were categorized into nulliparous (no previous births), primiparous (one previous birth), and multiparous (two or more previous births) groups.

View Article and Find Full Text PDF

Background And Aims: When dealing with severely calcified lesions in endovascular therapy (EVT) for lower extremity artery disease (LEAD), navigating through severely calcified chronic total occlusion (CTO) using hard-tip guidewires can be challenging. To address this issue, we employed a novel highly intensive penetration (HIP) technique. This technique involves modifying the tail of a 0.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!