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Träfflista för sökning "WFRF:(Lappas Georg) srt2:(2020-2021)"

Sökning: WFRF:(Lappas Georg) > (2020-2021)

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1.
  • Rawshani, Aidin, 1991, et al. (författare)
  • Severe COVID-19 in people with type 1 and type 2 diabetes in Sweden : A nationwide retrospective cohort study
  • 2021
  • Ingår i: The Lancet Regional Health. - : Elsevier. - 2666-7762. ; 4
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Whether infection with SARS-CoV-2 leads to excess risk of requiring hospitalization or intensive care in persons with diabetes has not been reported, nor have risk factors in diabetes associated with increased risk for these outcomes. Methods: We included 44,639 and 411,976 adult patients with type 1 and type 2 diabetes alive on Jan 1, 2020, and compared them to controls matched for age, sex, and county of residence (n=204,919 and 1,948,900). Age- and sex-standardized rates for COVID-19 related hospitalizations, admissions to intensive care and death, were estimated and hazard ratios were calculated using Cox regression analyses. Findings: There were 10,486 hospitalizations and 1,416 admissions into intensive care. A total of 1,175 patients with diabetes and 1,820 matched controls died from COVID-19, of these 53.2% had been hospitalized and 10.7% had been in intensive care. Patients with type 2 diabetes, compared to controls, displayed an ageand sex-adjusted hazard ratio (HR) of 2.22, 95%CI 2.13-2.32) of being hospitalized for COVID-19, which decreased to HR 1.40, 95%CI 1.34-1.47) after further adjustment for sociodemographic factors, pharmacological treatment and comorbidities, had higher risk for admission to ICU due to COVID-19 (age- and sexadjusted HR 2.49, 95%CI 2.22-2.79, decreasing to 1.42, 95%CI 1.25-1.62 after adjustment, and increased risk for death due to COVID-19 (age- and sex-adjusted HR 2.19, 95%CI 2.03-2.36, complete adjustment 1.50, 95%CI 1.39-1.63). Age- and sex-adjusted HR for COVID-19 hospitalization for type 1 diabetes was 2.10, 95%CI 1.72-2.57), decreasing to 1.25, 95%CI 0.3097-1.62) after adjustment. Patients with diabetes type 1 were twice as likely to require intensive care for COVID-19, however, not after adjustment (HR 1.49, 95%CI 0.75-2.92), and more likely to die (HR 2.90, 95% CI 1.6554-5.47) from COVID-19, but not independently of other factors (HR 1.38, 95% CI 0.64-2.99). Among patients with diabetes, elevated glycated hemoglobin levels were associated with higher risk for most outcomes. Interpretation: In this nationwide study, type 2 diabetes was independently associated with increased risk of hospitalization, admission to intensive care and death for COVID-19. There were few admissions into intensive care and deaths in type 1 diabetes, and although hazards were significantly raised for all three outcomes, there was no independent risk persisting after adjustment for confounding factors. (C) 2021 The Authors. Published by Elsevier Ltd.
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2.
  • Lind, Lars, et al. (författare)
  • Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight NCD Risk Factor Collaboration (NCD-RisC)
  • 2021
  • Ingår i: eLife. - : eLife Sciences Publications Ltd. - 2050-084X. ; 10
  • Tidskriftsartikel (refereegranskat)abstract
    • From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.
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