Aims: To examine and forecast the patterns of diabetes prevalence in synergy with obesity.
Methods: Prophet models were employed to forecast the prevalence of diabetes and obesity in 2030 using time-series data from the WHO Global Health Observatory data repository. K-means clustering models and self-organising maps were used to identify the patterns (clusters) of diabetes prevalence in association with obesity among 183 countries.
Results: Three patterns of diabetes prevalence were identified, countries in cluster three were estimated to have the highest obesity (44.9%, 26.2-65.8%) and diabetes prevalence (25.3%, 18.3-32.6%) in 2030. By 2030, countries in the Eastern Mediterranean and Upper-middle-income are projected to have the highest prevalence of diabetes. Overall, Niue is likely to have the biggest impact of diabetes. Liberia is projected to experience the largest rise in the prevalence of diabetes, with over 100% growth from 2014 to 2030. Libya, Kuwait, UK, USA, Argentina, and Nauru are estimated to have the peak prevalence of obesity on their respective continents. There is no decline in the influence of obesity in 185 countries by 2030. Globally, the prevalence of diabetes is projected to increase in 2030.
Conclusion: These estimates of diabetes prevalence in adults confirm continuity in the "diabetes crisis".
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http://dx.doi.org/10.1016/j.diabres.2020.108362 | DOI Listing |
Am J Surg
January 2025
Division of Vascular Surgery, Department of Surgery, Harbor-UCLA Medical Center, Torrance, CA, USA. Electronic address:
Approximately 22 % of the United States population communicates in a non-English language, potentially impacting healthcare communication and outcomes. Few studies have examined the association between non-English primary language (NEPL) and surgical outcomes and none to our knowledge in patients undergoing arteriovenous fistula creation within a safety net system. In this study, we conducted a retrospective analysis on adults who underwent AVF creation for hemodialysis access between January 1, 2014, and December 31, 2019.
View Article and Find Full Text PDFJ Bone Miner Res
January 2025
Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
Bone mineral density (BMD), an important marker of bone health, is regulated by a complex interaction of proteins. Plasma proteomic analyses can contribute to identification of proteins associated with changes in BMD. This may be especially informative in stages of bone accrual and peak BMD achievement (i.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Haemodialysis, Fuyong People's Hospital of Baoan District, Shenzhen, Guangdong Province, China.
Objective: Blood urea nitrogen (BUN) is a commonly used biomarker for assessing kidney function and neuroendocrine activity. Previous studies have indicated that elevated BUN levels are associated with increased mortality in various critically ill patient populations. The focus of this study was to investigate the relationship between BUN and 28-day mortality in intensive care patients.
View Article and Find Full Text PDFJ Invasive Cardiol
January 2025
Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota. Email:
Background: The use of the Ostial Flash balloon (Ostial Corporation) has received limited study in aorto-ostial chronic total occlusion (CTO) percutaneous coronary artery intervention (PCI).
Methods: The authors evaluated the outcomes of Ostial Flash balloon use in a large CTO-PCI registry (PROGRESS-CTO, NCT02061436).
Results: The Ostial Flash balloon was used in 54 of 907 aorto-ostial CTO PCIs in 905 patients (6.
Diabetologia
January 2025
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Aims/hypothesis: Existing evidence on the relationship between intake of monounsaturated fatty acids (MUFAs) and type 2 diabetes is conflicting. Few studies have examined whether MUFAs from plant or animal sources (MUFA-Ps and MUFA-As, respectively) exhibit differential associations with type 2 diabetes. We examined associations of intakes of total MUFAs, MUFA-Ps and MUFA-As with type 2 diabetes risk.
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