Background: The prevalence of low-, moderate-, and high-risk obesity has been increasing globally. Our aim was to estimate the societal burden of these three obesity classes in the Austrian population by taking a societal-annual perspective and an individual-life-cycle perspective. Secondly, we sought to identify the respective cost drivers and the effects on life expectancy.
Methods: We used population-weighted survey data on the distribution of body mass index (BMI) and data on relative risks regarding 83 diseases. Using fractional polynomial regressions, we estimated relative risks per BMI unit for about 30 cost-intensive diseases up to BMI values of 50. The approach for the cost analysis was based on the use of population-attributable fractions applied to direct medical and indirect cost data. Macro-disease-specific data regarding cost factors came from cost-of-illness statistics and administrative sources.
Results: About 8.2% of deaths and 4.6% of health expenditure are attributable to obesity in Austria in 2019, causing 0.61% of GDP loss. A third of annual direct and indirect costs came from class 2 and class 3 obesity. From an individual perspective, life-cycle costs of class 2 and class 3 obesity were 1.9 and 3.6 times the costs of class 1 obesity, respectively. At the age of 45, people with high-risk obesity are about to lose approximately 4.9 life years and 9.7 quality-adjusted life years.
Conclusions: We have extended the method of population-attributable fractions, allowing us to estimate differences in the life-cycle direct medical and indirect costs between low-, moderate-, and high-risk obesity. We found that the lifetime costs of obesity are strikingly different between obesity classes, which has been veiled in the societal-annual perspective. Our findings provide a foundation for evaluating public health interventions aimed at combating obesity in order to mitigate the escalating individual and societal burden resulting from obesity prevalence and complications in the future.
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http://dx.doi.org/10.1186/s12889-024-19574-8 | DOI Listing |
J Am Coll Surg
January 2025
Department of Surgery, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
Background: Obesity is a significant barrier to kidney transplantation for patients with end-stage renal disease (ESRD). We aimed to evaluate the long-term impact of metabolic and bariatric surgery (MBS) on kidney transplantation access and outcomes in individuals with obesity and ESRD patients.
Study Design: A retrospective cohort study using data from 64 US healthcare organizations included 132,989 individuals with obesity (BMI ≥30kg/m²) and ESRD requiring dialysis, of whom 6,263 (4.
Background: Clonal hematopoiesis of indeterminate potential (CHIP) is the age-related presence of expanded somatic clones secondary to leukemogenic driver mutations and is associated with cardiovascular (CV) disease and mortality. We sought to evaluate relationships between CHIP with cardiometabolic diseases and incident outcomes in high-risk individuals.
Methods: CHIP genotyping was performed in 8469 individuals referred for cardiac catheterization at Duke University (CATHGEN study) to identify variants present at a variant allele fraction (VAF) ≥2%.
Introduction: Metabolic syndrome has become a major health risk affecting patients worldwide and has been shown to be a risk factor for postoperative complications following abdominal surgery. This study aims to elucidate the link between metabolic syndrome and postoperative complications and mortality following esophagectomy.
Methods: This is a retrospective study analyzing the American College of Surgeons National Surgical Quality Improvement Program database (2017-2021).
Viruses
December 2024
Instituto de Investigación Sanitaria Aragón, 50009 Zaragoza, Spain.
This study explores the relationship between specific SARS-CoV-2 mutations and obesity, focusing on how these mutations may influence COVID-19 severity and outcomes in high-BMI individuals. We analyzed 205 viral mutations from a cohort of 675 patients, examining the association of mutations with BMI, hospitalization, and mortality rates. Logistic regression models and statistical analyses were applied to assess the impact of significant mutations on clinical outcomes, including inflammatory markers and antibody levels.
View Article and Find Full Text PDFMedicina (Kaunas)
January 2025
Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07120 Palma, Spain.
: The accumulation of fat in the body, especially visceral fat, is associated with various cardiometabolic conditions such as diabetes mellitus and fatty liver. The reasons for the accumulation of this fat are diverse. Some studies, also in the working population, have shown a clear association between sociodemographic variables and health habits with scales that assess overweight and obesity.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!