Deborah Conte Santos1, Marcela Haas Pizarro2, Bianca S V Barros2, Laura G Nunes de Melo3, Luis Cristovão Porto4, Dayse A Silva5, Marilia Brito Gomes2. 1. Diabetes Unit, Department of Internal Medicine, State University of Rio de Janeiro (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, RJ, CEP 20551-030, Brazil. deborahconte@hotmail.com. 2. Diabetes Unit, Department of Internal Medicine, State University of Rio de Janeiro (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, RJ, CEP 20551-030, Brazil. 3. Department of Ophthalmology, State University of Rio de Janeiro (UERJ), Rio de Janeiro, Rio de Janeiro, Brazil. 4. Histocompatibility and Cryopreservation Laboratory (HLA), State University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil. 5. DNA Diagnostic Laboratory (LDD), State University of Rio Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
Abstract
AIMS: The aim of the present study was to evaluate the relationship between self-reported color/race and genomic ancestry with HRQoL of patients with type 1 diabetes in a highly admixed population. METHODS: This was a nationwide, cross-sectional study conducted with 1760 patients with type 1 diabetes from 2011 to 2014 at public clinics in all five Brazilian geographical regions. Information on HRQoL was obtained from two self-completed questionnaires: Short Form-6 Dimensions (SF-6D) and EuroQol-5 Dimensions (EQ-5D) with a visual analogue scale (EQ-VAS). Genomic ancestry was assessed using a Multiplex PCR methodology. Utility scores generated from the questionnaires were analyzed with multivariate logistic regression models. RESULTS: We included 1698 patients. Those patients who self-reported as black had lower EQ-VAS scores compared to the patients who self-reported as white (67.46 ± 18.45; 72.37 ± 16.44, respectively, p = 0.02). In a linear regression model, each 1% increase in African ancestry resulted in a 9.5 point decrease in EQ-VAS score (p < 0.001). In a multivariate logistic regression, after adjusting for demographic, socioeconomic status and diabetes-related variables, African ancestry remained associated with lower EQ-VAS scores. CONCLUSION: A higher level of African ancestry implicates on lower quality of life even after adjustments for sociodemographic and diabetes-related data. Gender, physical activity and diabetes-related microvascular complications were strongly associated with low HRQoL in all three questionnaires used. This fact highlights the importance of social aspects when assessing quality of life, as well as the need for regular practice of physical activity and prevention of chronic complications to improve patients' quality of life.
AIMS: The aim of the present study was to evaluate the relationship between self-reported color/race and genomic ancestry with HRQoL of patients with type 1 diabetes in a highly admixed population. METHODS: This was a nationwide, cross-sectional study conducted with 1760 patients with type 1 diabetes from 2011 to 2014 at public clinics in all five Brazilian geographical regions. Information on HRQoL was obtained from two self-completed questionnaires: Short Form-6 Dimensions (SF-6D) and EuroQol-5 Dimensions (EQ-5D) with a visual analogue scale (EQ-VAS). Genomic ancestry was assessed using a Multiplex PCR methodology. Utility scores generated from the questionnaires were analyzed with multivariate logistic regression models. RESULTS: We included 1698 patients. Those patients who self-reported as black had lower EQ-VAS scores compared to the patients who self-reported as white (67.46 ± 18.45; 72.37 ± 16.44, respectively, p = 0.02). In a linear regression model, each 1% increase in African ancestry resulted in a 9.5 point decrease in EQ-VAS score (p < 0.001). In a multivariate logistic regression, after adjusting for demographic, socioeconomic status and diabetes-related variables, African ancestry remained associated with lower EQ-VAS scores. CONCLUSION: A higher level of African ancestry implicates on lower quality of life even after adjustments for sociodemographic and diabetes-related data. Gender, physical activity and diabetes-related microvascular complications were strongly associated with low HRQoL in all three questionnaires used. This fact highlights the importance of social aspects when assessing quality of life, as well as the need for regular practice of physical activity and prevention of chronic complications to improve patients' quality of life.
Entities:
Keywords:
Ancestry; Ethnicity; Health-related quality of life; Type 1 diabetes