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Anillo Arrieta LA, Flórez Lozano KC, Tuesca Molina R, Acosta Vergara T, Rodríguez Acosta S, Aschner P, Diaz Montes Y, Nieto Castillo JP, Florez-Garcia VA, Barengo NC. Glycemic status and health-related quality of life (HRQOL) in populations at risk of diabetes in two Latin American cities. Qual Life Res 2023:10.1007/s11136-023-03398-x. [PMID: 37010804 PMCID: PMC10328894 DOI: 10.1007/s11136-023-03398-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/10/2023] [Indexed: 04/04/2023]
Abstract
PURPOSE To estimate the health-related quality of life (HRQOL) according to glycemic status, and its relationship with sociodemographic and clinical factors in a population at risk of developing type 2 diabetes (T2D). METHODS Cross-sectional study, using cluster sampling. Data were collected from 1135 participants over 30 years of age, at risk of developing T2D from the PREDICOL project. Participants' glycemic status was defined using an oral glucose tolerance test (OGTT). Participants were divided into normoglycemic subjects (NGT), prediabetes and diabetics do not know they have diabetes (UT2D). HRQOL was assessed using the EQ-5D-3L questionnaire of the EuroQol group. Logistic regression and Tobit models were used to examine factors associated with EQ-5D scores for each glycemic group. RESULTS The mean age of participants was 55.6 ± 12.1 years, 76.4% were female, and one in four participants had prediabetes or unknown diabetes. Participants reported problems most frequently on the dimensions of Pain/Discomfort and Anxiety/Depression in the different glycemic groups. The mean EQ-5D score in NGT was 0.80 (95% CI 0.79-0.81), in prediabetes, 0.81 (95% CI 0.79-0.83), and in participants with UT2D of 0.79 (95% CI 0.76-0.82), respectively. Female sex, older age, city of residence, lower education, receiving treatment for hypertension, and marital status were significantly associated with lower levels of HRQOL in the Tobit regression analysis. CONCLUSIONS HRQOL of NGT, prediabetes, and UT2D participants was statistically similar. However, factors such as gender, age. and place of residence were found to be significant predictors of HRQOL for each glycemic group.
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Affiliation(s)
- Luis A Anillo Arrieta
- Division of Basic Sciences, Department of Mathematics and Statistics, Universidad del Norte, Barranquilla, Colombia.
- Division of Health Sciences, Department of Public Health, Universidad del Norte, Barranquilla, Colombia.
| | - Karen C Flórez Lozano
- Division of Basic Sciences, Department of Mathematics and Statistics, Universidad del Norte, Barranquilla, Colombia
| | - Rafael Tuesca Molina
- Division of Health Sciences, Department of Public Health, Universidad del Norte, Barranquilla, Colombia
- ScienceFlows Research Group, University of Valencia, Valencia, Spain
| | - Tania Acosta Vergara
- Division of Health Sciences, Department of Public Health, Universidad del Norte, Barranquilla, Colombia
| | - Sandra Rodríguez Acosta
- Division of Humanities and Sciences, Division Social, Department of Economics, Universidad del Norte, Barranquilla, Colombia
| | - Pablo Aschner
- Asociación Colombiana de Diabetes, Bogotá, Colombia
- Javeriana University, Bogotá, Colombia
- San Ignacio University Hospital, Bogotá, Colombia
| | - Yenifer Diaz Montes
- Division of Health Sciences, Department of Public Health, Universidad del Norte, Barranquilla, Colombia
| | - Julieth P Nieto Castillo
- Division of Health Sciences, Department of Public Health, Universidad del Norte, Barranquilla, Colombia
| | - Víctor Alfonso Florez-Garcia
- Division of Health Sciences, Department of Public Health, Universidad del Norte, Barranquilla, Colombia
- Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Noël C Barengo
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Global Health, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
- Joseph J. Zilber School of Public Health, University of Wisconsin, Milwaukee, USA
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Anillo Arrieta LA, Acosta Vergara T, Tuesca R, Rodríguez Acosta S, Flórez Lozano KC, Aschner P, Gabriel R, De La Rosa S, Nieto Castillo JP, Barengo NC. Health-related quality of life (HRQoL) in a population at risk of type 2 diabetes: a cross-sectional study in two Latin American cities. Health Qual Life Outcomes 2021; 19:269. [PMID: 34930297 PMCID: PMC8686566 DOI: 10.1186/s12955-021-01894-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 11/16/2021] [Indexed: 11/23/2022] Open
Abstract
Purpose The purpose of this study was to describe the health-related quality of life (HRQoL) characteristics in a population at risk of developing type 2 diabetes in Barranquilla and Bogotá, Colombia. Methods A cross-sectional study with 1135 participants older than 30 years-of-age recruited in Bogotá D.C., and Barranquilla by cluster sampling in 2018 to 2019. The Finnish Diabetes Risk Score (FINDRISC) was used to detect participants at risk of developing type 2 diabetes (T2D). HRQoL was assessed using the EQ-5D-3L questionnaire. Unadjusted and adjusted logistic regression models were used to calculate odds ratios (OR) and their corresponding 95% confidence intervals CI). Results Moderate or extreme problems appeared more frequently in the dimensions of Pain/Discomfort (60.8%) and Anxiety/Depression (30.8%). The mean score of the EQ-VAS was 74.3 (± 17.3), significantly larger in the state of complete health (11111) compared with those with problems in more than one of the quality-of-life dimensions. Being female and living in Bogota D.C., were associated with greater odds of reporting problems in the Pain (OR 1.6; 95% CI 1.2–2.2) and Discomfort dimensions (OR 1.6; 95% CI 1.2–2.0) respectively and Anxiety/Depression (OR 1.9; 95% CI 1.3–2.7), (OR 9.1; 95% CI 6.6–12.4), respectively. Conclusions As living place and sex were associated with dimensions of Pain/Discomfort and Anxiety/Depression in the HRQoL in people at risk of T2D, greater attention should be paid to these determinants of HRQoL to design and reorient strategies with a territorial and gender perspective to achieve better health outcomes. Plain English summary Diabetes is one of the four non-communicable diseases with increasing prevalence in the world, which has made it a serious public health problem. In Colombia, in 2019 diabetes affected 8.4% of the Colombian adult population and more than one million Colombian adults of this age group have hidden or undetected diabetes. This disease is not only characterized by increased premature mortality, loss of productivity, and economic impact, but it also involves a deterioration in the quality of life of people with diabetes with their respective families. However, very Little is known about health-related quality of life (HRQoL) in a population at risk or with prediabetes. This study has evaluated the quality of life in patients at risk of diabetes and their behavior with some variables as sociodemographic, lifestyle, history, and established their difference in two territories of the Colombian Caribbean. The results of this study indicate that the HRQoL of people at risk of type 2 diabetes is affected by factors such as gender, city, dysglycemia, medication for hypertension and education level. Therefore, greater attention should be paid to these determinants of HRQL to design and implement strategies that reduce this risk of developing type 2 diabetes, prevent prediabetes and improve the quality of life in prediabetic or diabetic patients.
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Affiliation(s)
- Luis A Anillo Arrieta
- Department of Mathematics and Statistics, Division of Basic Sciences, Universidad del Norte, Barranquilla, Colombia. .,Department of Public Health, Division of Health Sciences, Universidad del Norte, Barranquilla, Colombia.
| | - Tania Acosta Vergara
- Department of Public Health, Division of Health Sciences, Universidad del Norte, Barranquilla, Colombia
| | - Rafael Tuesca
- Department of Public Health, Division of Health Sciences, Universidad del Norte, Barranquilla, Colombia.,Department of Interdisciplinary Research, University Center CIFE, Cuernavacas-Morelos, Mexico
| | - Sandra Rodríguez Acosta
- Department of Economics, Division of Humanities and Sciences Division Social, Universidad del Norte, Barranquilla, Colombia
| | - Karen C Flórez Lozano
- Department of Mathematics and Statistics, Division of Basic Sciences, Universidad del Norte, Barranquilla, Colombia
| | - Pablo Aschner
- Asociación Colombiana de Diabetes, Bogotá, Colombia.,Javeriana University, Bogotá, Colombia.,San Ignacio University Hospital, Bogotá, Colombia
| | - Rafael Gabriel
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain.,World Community for Prevention of Diabetes (WCPD) Foundation, Madrid, Spain
| | - Sandra De La Rosa
- Department of Public Health, Division of Health Sciences, Universidad del Norte, Barranquilla, Colombia
| | - Julieth P Nieto Castillo
- Department of Public Health, Division of Health Sciences, Universidad del Norte, Barranquilla, Colombia
| | - Noël C Barengo
- Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.,Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Department of Health Policy and Management, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
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