Suchergebnisse

"The paper reports a methodological study based on the German Health Update Survey 2009. The study generated telephone numbers randomly and determined the listing status of the selected numbers. The set of listed numbers was randomly split: one half received advance letters, the other half did not. Differences in response rates and demographic characteristics are analyzed in detail." (author's abstract)

In Deutschland sind Kopfschmerzerkrankungen sowohl unter Frauen als auch unter Männern weit verbreitet und führen meist zu Einschränkungen der Lebensqualität. Die häufigsten Kopfschmerzerkrankungen sind Migräne und Spannungskopfschmerz. Zum Zweck einer validen Schätzung der Prävalenzen wurde zwischen Oktober 2019 und März 2020 eine telefonische Querschnittbefragung unter Erwachsenen in Deutschland (N = 5.009) durchgeführt. Anhand der diagnostischen Kriterien der International Classification of Headache Disorders wurden Häufigkeit, Dauer, Eigenschaften und Begleiterscheinungen der Kopfschmerzen erfragt. 57,5 % der Frauen und 44,4 % der Männer in Deutschland berichten, binnen eines Jahres mindestens einmal von Kopfschmerzen betroffen zu sein. 14,8 % der Frauen und 6,0 % der Männer erfüllen die kompletten Kriterien für Migräne. 10,3 % der Frauen und 6,5 % der Männer sind von Spannungskopfschmerzen betroffen. Migräne und Spannungskopfschmerzen treten vorwiegend im erwerbsfähigen Alter auf und nehmen im Altersverlauf stetig ab. Migräne geht häufig mit Begleiterkrankungen wie depressiven Symptomen und Angststörungen einher. Der Versorgungsgrad bei Kopfschmerzerkrankungen ist gering. Nur eine Minderheit der Betroffenen sucht binnen eines Jahres ärztliche Hilfe. Die Ergebnisse geben ein umfangreiches Bild zu den bevölkerungsbezogenen Beeinträchtigungen durch Kopfschmerzerkrankungen. Sie werden im Rahmen der Studie BURDEN 2020 genutzt, um zentrale Indikatoren der Krankheitslastrechnung zu quantifizieren.

Erratum in: Wyper GMA, Assunção R, Cuschieri S, Devleesschauwer B, Fletcher E, Haagsma JA, Hilderink HBM, Idavain J, Lesnik T, Von der Lippe E, Majdan M, Milicevic MS, Pallari E, Peñalvo JL, Pires SM, Plaß D, Santos JV, Stockton DL, Thomsen ST, Grant I. Arch Public Health. 2020 Jun 18;78:57. doi:10.1186/s13690-020-00437-8. eCollection 2020. "[This corrects the article DOI:10.1186/s13690-020-00433-y.]." ; Background: Evidence has emerged showing that elderly people and those with pre-existing chronic health conditions may be at higher risk of developing severe health consequences from COVID-19. In Europe, this is of particular relevance with ageing populations living with non-communicable diseases, multi-morbidity and frailty. Published estimates of Years Lived with Disability (YLD) from the Global Burden of Disease (GBD) study help to characterise the extent of these effects. Our aim was to identify the countries across Europe that have populations at highest risk from COVID-19 by using estimates of population age structure and YLD for health conditions linked to severe illness from COVID-19. Methods: Population and YLD estimates from GBD 2017 were extracted for 45 countries in Europe. YLD was restricted to a list of specific health conditions associated with being at risk of developing severe consequences from COVID-19 based on guidance from the United Kingdom Government. This guidance also identified individuals aged 70 years and above as being at higher risk of developing severe health consequences. Study outcomes were defined as: (i) proportion of population aged 70 years and above; and (ii) rate of YLD for COVID-19 vulnerable health conditions across all ages. Bivariate groupings were established for each outcome and combined to establish overall population-level vulnerability. Results: Countries with the highest proportions of elderly residents were Italy, Greece, Germany, Portugal and Finland. When assessments of population-level YLD rates for COVID-19 vulnerable health conditions were made, the highest rates were observed for Bulgaria, Czechia, Croatia, Hungary and Bosnia and Herzegovina. A bivariate analysis indicated that the countries at high-risk across both measures of vulnerability were: Bulgaria; Portugal; Latvia; Lithuania; Greece; Germany; Estonia; and Sweden. Conclusion: Routine estimates of population structures and non-fatal burden of disease measures can be usefully combined to create composite indicators of vulnerability for rapid assessments, in this case to severe health consequences from COVID-19. Countries with available results for sub-national regions within their country, or national burden of disease studies that also use sub-national levels for burden quantifications, should consider using non-fatal burden of disease estimates to estimate geographical vulnerability to COVID-19. ; This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. Journal open access publications fees upon acceptance of this article in a peer-reviewed journal will be reimbursed under the COST action CA18218 (European Burden of Disease Network) ; info:eu-repo/semantics/publishedVersion

Background: Evidence has emerged showing that elderly people and those with pre-existing chronic health conditions may be at higher risk of developing severe health consequences from COVID-19. In Europe, this is of particular relevance with ageing populations living with non-communicable diseases, multi-morbidity and frailty. Published estimates of Years Lived with Disability (YLD) from the Global Burden of Disease (GBD) study help to characterise the extent of these effects. Our aim was to identify the countries across Europe that have populations at highest risk from COVID-19 by using estimates of population age structure and YLD for health conditions linked to severe illness from COVID-19. Methods: Population and YLD estimates from GBD 2017 were extracted for 45 countries in Europe. YLD was restricted to a list of specific health conditions associated with being at risk of developing severe consequences from COVID-19 based on guidance from the United Kingdom Government. This guidance also identified individuals aged 70 years and above as being at higher risk of developing severe health consequences. Study outcomes were defined as: (i) proportion of population aged 70 years and above; and (ii) rate of YLD for COVID-19 vulnerable health conditions across all ages. Bivariate groupings were established for each outcome and combined to establish overall population-level vulnerability. Results: Countries with the highest proportions of elderly residents were Italy, Greece, Germany, Portugal and Finland. When assessments of population-level YLD rates for COVID-19 vulnerable health conditions were made, the highest rates were observed for Bulgaria, Czechia, Croatia, Hungary and Bosnia and Herzegovina. A bivariate analysis indicated that the countries at high-risk across both measures of vulnerability were: Bulgaria; Portugal; Latvia; Lithuania; Greece; Germany; Estonia; and Sweden. Conclusion: Routine estimates of population structures and non-fatal burden of disease measures can be usefully combined to create ...