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Cyranka K, Matejko B, Chrobak A, Dudek D, Kieć-Wilk B, Cyganek K, Witek P, Lushchyk M, Krzyżowska S, Małecki MT, Klupa T. Assessment of the spectrum of depression and bipolarity in patients with type 1 diabetes. Diabetes Metab Res Rev 2023; 39:e3583. [PMID: 36270020 DOI: 10.1002/dmrr.3583] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 07/08/2022] [Accepted: 09/23/2022] [Indexed: 01/10/2023]
Abstract
AIMS The aim of the study was to check the prevalence of unipolarity (depression), bipolarity, as well as the quality of sleep and temperament traits in patients with type 1 diabetes (T1DM) who are provided with optimal conditions of diabetes care and to identify possible risk factors connected with affective traits. MATERIALS AND METHODS Out of the 107 T1DM patients, 78 (54 females, 24 males) were included for the analysis (HbA1c [%] 7.11 ± 1.0, BMI [kg/m2 ] 25.3 ± 5.6; Years of disease duration [N] 13.7 ± 8.3). The patients filled in a set of questionnaires during their regular visit to the outpatient clinic. Three patients from the whole group were on intensive insulin therapy with Multiple Daily Injections (MDI) and Self-Monitoring of Blood Glucose (SMBG), all the rest were on various types of personal insulin pumps (years on insulin pump [N] 9.1 ± 4.5). All the patients were on regular diabetologist care, with regular visits in a Centre for Advanced Technologies in Diabetes (at least every 6 months). RESULTS In QIDS-S (full explanation and abbreviation 26 patients (33.8%) were screened positive for depression, in PHQ (full explanation and ab 57.7% of the patients (45 patients) had symptoms of depression (age was negatively correlated with PHQ score [r = -0.26; p = 0.023]). In CES-D 16 (20%) of the patients assessed their present affect as depressed. None of the analysed clinical variables correlated with depression scores. In the Mood Disorder Questionnaire (MDQ), 16 patients reported having symptoms of bipolarity (20.5% vs. 79.5%). Hypomania Checklist (HCL) analysis indicated 10 patients with bipolar traits (>14) (14.9% vs. 85.1%). None of the analysed clinical variables correlated with HCL results. 11.5% of patients were indicated to be of morning type. Morningness was more often seen in younger patients (r = 0.39; p = 0.001). As many as 46.6% declared that they had poor sleep quality. The temperament traits analysis correlated with clinical parameters: Cyclothymic temperament trait was negatively correlated with age (r = -0.30; p = 0.007) and positively with HbA1c level (r = 0.30; p = 0.025). Hyperthymic temperament was positively correlated with (BMI r = 0.28; p = 0.016). Quality of sleep was highly correlated with depressive symptoms CESD (r = 0.61, p = 0.001), PHQ Score (r = 0.62; p = 0.001), QISD (r = 0.68; p = 0.001) and bipolarity MDQ (p = 0.50, p = 0.001) and HCL (r = 0.42, p = 0.001). In addition, QIDS was shown to be correlated with the following features of temperament: depressive factor (r = 0.41; p = 0.001), irritable factor (r = 0.53; p = 0.001), cyclothymic factor (r = 0.59; p = 0.001), anxious factor (r = 0.58, p = 0.001). CONCLUSIONS The prevalence of affective disorders and poor sleep quality in the examined T1DM patients was much higher than in the general population. Even if the patients have in general good glycaemic control, their mental health condition should not be neglected. Well organised cooperation between patients, diabetologists, psychiatrists and psychotherapists is needed (Clinical Trials Identifier: NCT04616391).
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Affiliation(s)
- Katarzyna Cyranka
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- Department of Adult Psychiatry, Jagiellonian University Medical College, Kraków, Poland
- University Hospital in Krakow, Kraków, Poland
| | - Bartlomiej Matejko
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- University Hospital in Krakow, Kraków, Poland
| | - Adrian Chrobak
- Department of Adult Psychiatry, Jagiellonian University Medical College, Kraków, Poland
- University Hospital in Krakow, Kraków, Poland
| | - Dominika Dudek
- Department of Adult Psychiatry, Jagiellonian University Medical College, Kraków, Poland
- University Hospital in Krakow, Kraków, Poland
| | - Beata Kieć-Wilk
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- University Hospital in Krakow, Kraków, Poland
| | - Katarzyna Cyganek
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- University Hospital in Krakow, Kraków, Poland
| | - Przemysław Witek
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- University Hospital in Krakow, Kraków, Poland
| | - Maxim Lushchyk
- Belarusian Medical Academy of Postgraduate Education, Minsk, Belarus
| | | | - Maciej Tadeusz Małecki
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- University Hospital in Krakow, Kraków, Poland
| | - Tomasz Klupa
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
- University Hospital in Krakow, Kraków, Poland
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Westall SJ, Watmough S, Narayanan RP, Irving G, Hardy K. Psychometric and biomedical outcomes of glycated haemoglobin target-setting in adults with type 1 and type 2 diabetes: Protocol for a mixed-methods parallel-group randomised feasibility study. PLoS One 2022; 17:e0275980. [PMID: 36302049 PMCID: PMC9612465 DOI: 10.1371/journal.pone.0275980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 09/09/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The disease burden of diabetes can have wide-ranging implications on patients' psychological well-being and health-related quality of life. Glycated haemoglobin targets are commonly used to guide patient management in diabetes to reduce the future risk of developing diabetes complications, but little is known of the psychological impact of glycated haemoglobin target-setting. This protocol describes a study to determine the feasibility of evaluating psychological outcomes when setting explicit glycated haemoglobin targets in people with diabetes. METHODS This single-centre randomised feasibility study will follow a mixed-methods approach across four sub-studies. In sub-study A, eligible adults (aged 18 and over) with type 1 or type 2 diabetes will complete baseline validated psychometric questionnaires evaluating health-related quality of life (EuroQoL-5D-5L), diabetes-related distress (Problem Areas In Diabetes), self-care (Summary of Diabetes Self-Care Activities), well-being (Well-Being Quetionnaire-12) and diabetes-related psychosocial self-efficacy (Diabetes Empowerment Scale-Long Form). Participants will be randomised to receive explicit glycated haemoglobin intervention targets 5mmol/mol above or below current glycated haemoglobin readings. Rates of eligibility, recruitment, retention and questionnaire response rate will be measured. Psychometric outcomes will be re-evaluated 3-months post-intervention. Sub-studies B and C will use qualitative semi-structured interviews to evaluate experiences, views and opinions of diabetes patients and healthcare professionals in relation to the acceptability of study processes, the use of glycated haemoglobin targets, the impact of diabetes on psychological well-being and, in sub-study D, barriers to participation in diabetes research. DISCUSSION This mixed-methods study aims to provide a novel insight into the psychological implications of glycated haemoglobin target-setting for people with diabetes in secondary care, alongside testing the feasibility of undertaking a larger project of this nature. TRIAL REGISTRATION The study is registered with the ISRCTN (registration number: 12461724; date registered: 11th June 2021). Protocol version: 2.0.5, 26th February 2021.
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Affiliation(s)
- Samuel J. Westall
- Faculty of Health, Social Care and Medicine, Edge Hill University, Ormskirk, United Kingdom
- Department of Diabetes and Endocrinology, St Helens and Knowsley Teaching Hospitals NHS Trust, St Helens Hospital, St Helens, United Kingdom
- * E-mail:
| | - Simon Watmough
- Faculty of Health, Social Care and Medicine, Edge Hill University, Ormskirk, United Kingdom
| | - Ram Prakash Narayanan
- Department of Diabetes and Endocrinology, St Helens and Knowsley Teaching Hospitals NHS Trust, St Helens Hospital, St Helens, United Kingdom
| | - Greg Irving
- Faculty of Health, Social Care and Medicine, Edge Hill University, Ormskirk, United Kingdom
| | - Kevin Hardy
- Department of Diabetes and Endocrinology, St Helens and Knowsley Teaching Hospitals NHS Trust, St Helens Hospital, St Helens, United Kingdom
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Development and Validation of the Depression Inventory for Type 1 Diabetes (DID-1). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182312529. [PMID: 34886259 PMCID: PMC8657055 DOI: 10.3390/ijerph182312529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 11/19/2021] [Accepted: 11/20/2021] [Indexed: 11/17/2022]
Abstract
People with type 1 diabetes (T1D) are more likely to have depression than the general population and their prognosis is worse. Unfortunately, the characteristics of persons with T1D lead to inadequate screening for depression in this population. To aid in the detection of depression in this population, this study was undertaken to develop a depressive symptoms assessment instrument specific to patients with T1D and to examine its psychometric properties. A total of 207 people with T1D participated in this study. The reliability of the new scale was assessed using Cronbach’s alpha and the Spearman-Brown split-half coefficient. The Depression Inventory for type 1 Diabetes (DID-1), composed of 45 items on a Likert scale (1–7), shows high internal and temporal consistency, as well as adequate concurrent, convergent and discriminant validity. Factor analysis identified 7 factors (Symptoms of depression, Diminished interest, Hopelessness and dissatisfaction, Guilt, Fear, frustration and irritability, Defenselessness, and Interference in daily life) that explained 61.612% of the total variability. The cut-off score for diagnosis was set at 155 points. It was concluded that the DID-1 scale is a reliable, valid and useful tool for the assessment of depressive symptoms, eliminating the bias of other nonspecific diabetes scales.
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