Context: In rural southeastern Ohio, the prevalence of diabetes is 19.9%, nearly double the national average of 10.5%. Despite the high rate of diabetes, its impact on the region is understudied; one such understudied topic is psychosocial difficulties. People with diabetes experience disproportionately higher rates of major depressive disorder (MDD), clinically significant depressive symptoms, and diabetes distress. Diabetes distress refers to the negative emotional experience of living with diabetes. It reflects an individual's worries, concerns, and fears about living a chronic and progressive disease.
Objectives: To assess the prevalence of diabetes distress as well as comorbid, clinically significant depressive symptoms and diabetes distress among patients in southeastern Ohio; and to assess impact of depressive symptoms and diabetes distress on A levels, diabetes self care behaviors, and diabetes quality of life (DQOL).
Methods: In this cross sectional survey study, individuals aged 18 years and older, diagnosed with type 1 (T1D) or type 2 (T2D) diabetes, who were able to read and speak English, and living in southeastern Ohio were invited to participate. Participants completed the Diabetes Distress Scale for T2D or T1D, the Patient Health Questionnaire-9, the Self Care Inventory-Revised, and the DQOL Scale as part of the study survey. Participants completed the survey via an online questionnaire service or mailed packets. Chi square tests determined the comorbidity of clinically significant depressive symptoms and high diabetes distress levels by type of diabetes. Multiple regression models examined the relationships among clinically significant depressive symptoms, diabetes distress scores, A levels, self care behaviors, and DQOL scores. Statistical significance was defined as a p<0.05.
Results: A total of 325 adults participated (mean ± standard deviation [SD] age, 41.6 ± 19.2 years; 131 (40.7%) with T1D; 194 (59.7%) with T2D; mean ± SD A, 7.5 ± 1.6%; mean ± SD duration, 12.4 ± 9.6 years). Of the 325 participants, 70 (21.5%) indicated clinically significant depressive symptoms, with 29 (22.3%) T1D participants and 41 (21.0%) T2D participants reporting clinically significant depressive symptoms. A total of 92 (28.3%) participants reported high diabetes distress (39 (30.5%) T1D participants and 53 (27.5%) T2D participants). Forty-eight participants (15.0%) screened positive for both clinically significant depressive symptoms and high diabetes distress. Regression models showed that higher diabetes distress scores were associated with fewer self care behaviors (T1D, =-0.268, p=0.030; T2D, =-0.312, p<0.001) and lower DQOL (T1D, =0.726, p<0.001; T2D, =0.501, p<0.001). Further, more depressive symptoms were associated with lower DQOL in participants with T2D (=0.363, p<0.001). Higher diabetes distress scores were not associated with higher A levels in participants with T1D or T2D; however, increased depressive symptoms were associated with higher A levels in participants with T2D (=0.390, p<0.001).
Conclusions: Findings showed that adults in southeastern Ohio experienced high levels of diabetes distress and co-occurring clinically significant depressive symptoms that were within range of data from previous studies. These findings highlight the importance of routine screening for both clinically significant depressive symptoms and diabetes distress. Future longitudinal research is needed to confirm these findings and examine the evolution of these relationships over time.
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http://dx.doi.org/10.1515/jom-2021-0091 | DOI Listing |
BMC Endocr Disord
December 2024
Departemnt of Pediatrics and Child Health, School of Medicine, University of Gondar, Gondar, Ethiopia.
Background: Diabetes mellitus is one of the most common chronic illnesses in children with multiple psychosocial, economic and developmental effects. Psychiatric disorders such as depression, anxiety, psychological distress, and eating disorders are more common in diabetic patients than the non-diabetic once. The main objective of our study was to assess Prevalence and associated factors of psychiatric problems in children aged 6-18 years with type 1 diabetes mellitus in Gondar, Ethiopia.
View Article and Find Full Text PDFJ Cardiovasc Dev Dis
December 2024
Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH 44106, USA.
Type 1 diabetes (T1D) is a complex chronic condition that places young adults aged 18-31 years at high risk for general and diabetes-related distress and poor cardiovascular health. Both general and diabetes distress are linked to higher A1C, a known risk factor for cardiovascular disease (CVD). The purpose of this cross-sectional quantitative descriptive study was to examine the associations between distress symptoms (general and diabetes) and cardiovascular health while considering covariates in young adults ages 18-31 years with T1D.
View Article and Find Full Text PDFCureus
November 2024
Department of Pathology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed To Be University), Karad, IND.
Introduction Hypothyroidism represents an endocrine disorder marked by the insufficient production of hormones by the thyroid gland, with significant effects on bodily functions. Its occurrence during pregnancy is of particular concern due to its profound effects on both maternal and fetal health outcomes. Aim To study the impact of hypothyroidism in pregnancy and its correlation with feto-maternal outcomes.
View Article and Find Full Text PDFJ Diabetes Sci Technol
December 2024
Department of Family and Community Medicine, University of California San Francisco, San Francisco, CA, USA.
Background: Recent advances in diabetes care and technology, such as real-time continuous glucose monitoring, can help people live more freely, with more flexibility and fewer constraints, thereby enhancing quality of life (QOL). To date, there has been no validated means for measuring this key psychological dimension. We developed the Diabetes Constraints Scale (DCS) to assess perceived constraints pertaining to diabetes self-management.
View Article and Find Full Text PDFDiabet Med
December 2024
Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Aims: Diabetes distress (DD) is prevalent among people with diabetes. While automated insulin delivery systems (AIDs) improve glycaemic control, their impact on DD is unclear. We aimed to investigate the effect of AIDs on DD in people with diabetes and their caregivers.
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