Purpose: This study examined the relationship between coping style and understanding of diabetes self-care among African American and white elders in a southern Medicare-managed care plan.
Methods: Participants were identified through a diabetes-related pharmacy claim or ICD-9 code and completed a computer-assisted telephone survey in 2006-2007. Understanding of diabetes self-care was assessed using the Diabetes Care Profile Understanding (DCP-U) scale. Coping styles were classified as active (talk about it/take action) or passive (keep it to yourself). Linear regression was used to estimate the associations between coping style with the DCP-U, adjusting for age, sex, education, and comorbidities. Based on the conceptual model, 4 separate categories were established for African American and white participants who displayed active and passive coping styles.
Results: Of 1420 participants, the mean age was 73 years, 46% were African American, and 63% were female. Most respondents (77%) exhibited active coping in response to unfair treatment. For African American participants in the study, active coping was associated with higher adjusted mean DCP-U scores when compared to participants with a passive coping style. No difference in DCP-U score was noted among white participants on the basis of coping style.
Conclusions: Active coping was more strongly associated with understanding of diabetes self-care among older African Americans than whites. Future research on coping styles may give new insights into reducing diabetes disparities among racial/ethnic minorities.
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http://dx.doi.org/10.1177/0145721713507112 | DOI Listing |
Diabetes Care
January 2025
Division of Endocrinology and Metabolism, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC.
Cancer Epidemiol Biomarkers Prev
January 2025
Memorial Sloan Kettering Cancer Center, New York, United States.
Background: To evaluate the impact of Hispanic ethnic enclaves (EE) on the relationship between neighborhood disadvantage and overall survival (OS) in breast cancer (BCa) patients.
Methods: Data from BCa patients with stage I-IV disease diagnosed between 2005-2017 was used to analyze the effects of Area Deprivation Index (ADI) scores, a measure of neighborhood disadvantage, and census-tract level Hispanic density, a measure of EE, on OS using mixed-effects Cox regression models. The final model included the following individual-level factors (age, income, race, Hispanic/Latino origin, nativity, insurance status, and comorbidities (hypertension, diabetes, and body mass index) and clinical factors (National Comprehensive Cancer Network guideline-concordant treatment, stage, and receptor subtype).
Physiol Res
December 2024
Laboratory of Neurobiology and Molecular Psychiatry, Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.
The global COVID-19 pandemic, caused by SARS-CoV-2, has led to significant morbidity and mortality, with a profound impact on cardiovascular health. This review investigates the mechanisms of SARS-CoV-2's interaction with cardiac tissue, particularly emphasizing the role of the Spike protein and ACE2 receptor in facilitating viral entry and subsequent cardiac complications. We dissect the structural features of the virus, its interactions with host cell receptors, and the resulting pathophysiological changes in the heart.
View Article and Find Full Text PDFDiabetes Obes Metab
January 2025
Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China.
Metabolic syndrome-related diseases frequently involve disturbances in skeletal muscle lipid metabolism. The accumulation of lipid metabolites, lipid-induced mitochondrial stress in skeletal muscle cells, as well as the inflammation of adjacent adipose tissue, are associated with the development of insulin resistance and metabolic dysfunction. Consequently, when antidiabetic medications are used to treat various chronic conditions related to hyperglycaemia, the impact on skeletal muscle lipid metabolism should not be overlooked.
View Article and Find Full Text PDFBackground: Diabetic kidney disease (DKD) is one of the typical complications of type 2 diabetes (T2D), with approximately 10 % of DKD patients experiencing a Rapid decline (RD) in kidney function. RD leads to an increased risk of poor outcomes such as the need for dialysis. Albuminuria is a known kidney damage biomarker for DKD, yet RD cases do not always show changes in albuminuria, and the exact mechanism of RD remains unclear.
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