959 results on '"Doblhammer, A."'
Search Results
152. Additional file 1 of Stents versus bypass surgery: 3-year mortality risk of patients with coronary interventions aged 50+ in Germany
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Nestler, Sophia, Kreft, Daniel, Donndorf, Peter, Ince, Hüseyin, and Doblhammer, Gabriele
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Additional file 1: Scheme of included and excluded person-times in the study using the example of five fictitious persons with different study entries and exits and health histories.
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- 2022
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153. Additional file 1 of Potential of prevention strategies for the modifiable risk factor type 2 diabetes with relation to the future number of dementia patients in Germany– a multi-state projection through 2040
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Fink, Anne, Doerre, Achim, Demuth, Ilja, and Doblhammer, Gabriele
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Data_FILES - Abstract
Additional file 1
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- 2022
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154. Additional file 3 of Stents versus bypass surgery: 3-year mortality risk of patients with coronary interventions aged 50+ in Germany
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Nestler, Sophia, Kreft, Daniel, Donndorf, Peter, Ince, Hüseyin, and Doblhammer, Gabriele
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Additional file 3: Fig. S2. Age-specific and age-standardized 3-year mortality rates of CAD-patients by sex and coronary interventions from 2005 to 2015: BMS (A), DES (B), CABG (C), mixed (D) or none (E).
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- 2022
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155. Additional file 2 of Stents versus bypass surgery: 3-year mortality risk of patients with coronary interventions aged 50+ in Germany
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Nestler, Sophia, Kreft, Daniel, Donndorf, Peter, Ince, Hüseyin, and Doblhammer, Gabriele
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Additional file 2: Table S1. Number of coronary interventions per patient 2005–2012 and deaths 2005–2015. Table S2. Kaplan-Meier survival estimates by coronary intervention, survival in % after 1, 2 and 3 years, 2005–2015. Table S3. Sensitivity analysis: multivariable analysis: Cox model adjusted for risk factors effecting mortality in CAD patients with coronary interventions, 2005–2015a.
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- 2022
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156. Can dementia become the most prevalent disease at the time of death in Germany? Projections up to the year 2060 for the five most important diseases at the time of death
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Gabriele Doblhammer, Thomas Fritze, Constantin Reinke, and Anne Fink
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Sociology and Political Science ,Geography, Planning and Development ,ddc:300 ,Demography - Abstract
Data on the burden of disease in the last years of life are an important basis for health policy decisions and the allocation of health care resources. Since dementia is one of the most expensive diseases, we ask the question whether dementia will ever be the most common disease at the time of death in older people? While international cause-of-death statistics report the underlying cause of death, dementia patients generally die from complications or sequelae. Instead of using causes of death, we identified the five most prevalent disease categories at age 70 and older at the time of death using German health claims data from 2004 to 2007 and 2014–2017, and combined their prevalence rates with the estimated number of deaths at age 70 and older up to the year 2060. We developed two scenarios, first, to represent the impact of population aging and increasing life expectancy. Second, to additionally examine the impact of morbidity trends among those who died. We found that dementia was already the most prevalent disease at the time of death among German women aged 70 years and older in 2014–2017, while it was still in fifth place among German men. Population aging and increasing life expectancy will result in dementia ranking first among women and second among men if the morbidity profile at the time of death remains constant. Extrapolating the observed time trends into the projections, cancer will be the most prevalent disease at the time of death for both sexes. Dementia will be second for women, and third for men after IHD. In addition to projections of causes of death, we also need projections of diseases at the time of death to better prepare for the needs of people in their final stages of life.
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- 2022
157. Diabetes duration and the risk of dementia: a cohort study based on German health claims data
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Constantin Reinke, Nikolaus Buchmann, Anne Fink, Christina Tegeler, Ilja Demuth, and Gabriele Doblhammer
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Aging ,epidemiology [Diabetes Mellitus, Type 2] ,Type 2 diabetes ,General Medicine ,epidemiology [Dementia] ,health claims data ,ageing/7 ,diagnosis [Dementia] ,older people ,Cohort Studies ,Diabetes Complications ,diagnosis [Diabetes Mellitus, Type 2] ,AcademicSubjects/MED00280 ,Diabetes Mellitus, Type 2 ,Risk Factors ,mental disorders ,Humans ,Dementia ,ddc:610 ,Prospective Studies ,Geriatrics and Gerontology ,drug therapy [Diabetes Mellitus, Type 2] ,dementia ,Research Paper - Abstract
ObjectiveDiabetes is a risk factor for dementia but little is known about the impact of diabetes duration on the risk of dementia. We investigated the effect of type 2 diabetes duration on the risk of dementia.DesignProspective cohort study using health claims data representative for the older German population. The data contain information about diagnoses and medical prescriptions from the in- and outpatient sector.MethodsWe performed piecewise exponential models with a linear and a quadratic term for time since first type 2 diabetes diagnosis to predict the dementia risk in a sample of 13,761 subjects (2,558 dementia cases) older than 65 years. We controlled for severity of diabetes using the Adopted Diabetes Complications Severity Index.ResultsWe found a U-shaped dementia risk over time. After type 2 diabetes diagnosis the dementia risk decreased (26% after 1 year) and reached a minimum at 4.75 years, followed by an increase through the end of follow-up. The pattern was consistent over different treatment groups, with the strongest U-shape for insulin treatment and for those with diabetes complications at the time of diabetes diagnosis.ConclusionsWe identified a non-linear association of type 2 diabetes duration and the risk of dementia. Physicians should closely monitor cognitive function in diabetic patients beyond the first few years after diagnosis, because the later increase in dementia occurred in all treatment groups.
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- 2021
158. A systematic literature review of studies analyzing the effects of sex, age, education, marital status, obesity, and smoking on health transitions
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Doblhammer, Gabriele, Hoffmann, Rasmus, Muth, Elena, Westphal, Christina, and Kruse, Anne
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- 2009
159. Cohort Changes in the Incidence of Care Need in West Germany between 1986 and 2005 / Changement entre générations dans la transition vers la dépendance en Allemagne de l'Ouest entre 1986 et 2005
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Ziegler, Uta and Doblhammer, Gabriele
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- 2008
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160. Cause-of-Death Contributions to Educational Inequalities in Mortality in Austria between 1981/1982 and 1991/1992 / Les contributions des causes de décès aux inégalités de mortalité par niveau d'éducation en Autriche entre 1981/1982 et 1991/1992
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Rau, Roland, Doblhammer, Gabriele, Canudas-Romo, Vladimir, and Zhen, Zhang
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- 2008
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161. Trends in educational mortality differentials in Austria between 1981/82 and 2001/2002 : A study based on a linkage of census data and death certificates
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Klotz, Johannes and Doblhammer, Gabriele
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- 2008
162. Influenza vaccination in patients with dementia and Parkinson’s disease—an analysis of routine health insurance data for the years 2014–2019
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Fink, Anne, primary, Hermann, Andreas, additional, Günster, Christian, additional, and Doblhammer, Gabriele, additional
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- 2022
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163. Social disparities in the first wave of COVID-19 incidence rates in Germany: a county-scale explainable machine learning approach
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Doblhammer, Gabriele, primary, Reinke, Constantin, additional, and Kreft, Daniel, additional
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- 2022
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164. Progression to severe visual impairment and blindness in POAG patients: pace and risk factors—a cohort study using German health claims data
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Nestler, Sophia, primary, Kreft, Daniel, additional, Doblhammer, Gabriele, additional, Guthoff, Rudolf F, additional, and Frech, Stefanie, additional
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- 2022
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165. Diabetes duration and the risk of dementia: a cohort study based on German health claims data
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Reinke, Constantin, primary, Buchmann, Nikolaus, additional, Fink, Anne, additional, Tegeler, Christina, additional, Demuth, Ilja, additional, and Doblhammer, Gabriele, additional
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- 2021
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166. Influenza Vaccination in Patients With Dementia and Parkinson's Disease
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Fink, Anne, Hermann, Andreas, Günster, Christian, and Doblhammer-Reiter, Gabriele
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prevention & control [Influenza, Human] ,Influenza, Human ,Vaccination ,Research Letter ,Humans ,Dementia ,Parkinson Disease ,ddc:610 ,complications [Parkinson Disease] - Published
- 2021
167. Association of Proton Pump Inhibitors With Risk of Dementia: A Pharmacoepidemiological Claims Data Analysis
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Gomm, Willy, von Holt, Klaus, Thomé, Friederike, Broich, Karl, Maier, Wolfgang, Fink, Anne, Doblhammer, Gabriele, and Haenisch, Britta
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- 2016
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168. Soziale Unterschiede in der Säuglingssterblichkeit in Rostock im 19. JahrhundertEine demografische Analyse anhand von Kirchenbuchdaten
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Michael Mühlichen, Rembrandt D. Scholz, and Gabriele Doblhammer
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Säuglingssterblichkeit ,Rostock ,Historische Demografie ,Kirchenbücher ,Ereignisdatenanalyse ,Urban groups. The city. Urban sociology ,HT101-395 ,City population. Including children in cities, immigration ,HT201-221 ,Demography. Population. Vital events ,HB848-3697 - Abstract
Der Beitrag untersucht die historische Entwicklung der Säuglingssterblichkeit in der Hansestadt Rostock und widmet sich im Speziellen der Frage, inwieweit sozioökonomische Faktoren die Höhe der Säuglingssterblichkeit im frühen 19. Jahrhundert beeinflussten. Es lässt sich für die Stadt ein im deutschlandweiten Vergleich äußerst niedriges Säuglingssterblichkeitsniveau feststellen, besonders für das erste Drittel des Jahrhunderts. Dabei kann ein signifikanter Einfluss der beruflichen Schicht des Vaters auf die Überlebenschancen des Kindes im ersten Lebensjahr für das frühe 19. Jahrhundert nachgewiesen werden: Neugeborene von beruflich schlechter gestellten Vätern weisen ein größeres Sterberisiko im ersten Lebensjahr auf als die Nachkommen beruflich besser gestellter Väter. Als Datengrundlage dienen die Beerdigungs- und Taufregister der Rostocker Jakobikirche, welche weitgehend erhalten und zu einem großen Teil digitalisiert sind. Auf der Basis dieser Individualdaten wird erstmals ein Ereignisdatenanalysemodell im Zusammenhang mit der Säuglingssterblichkeit in einer deutschen Stadt im 19. Jahrhundert untersucht. Des Weiteren zeigt dieser Beitrag erstmals die Säuglingssterbewahrscheinlichkeit der Stadt Rostock für das gesamte 19. Jahrhundert nach Geschlecht und schließt damit in zweifacher Hinsicht eine Forschungslücke.
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- 2015
169. Social Differences in Infant Mortality in 19th Century RostockA Demographic Analysis Based on Church Records
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Michael Mühlichen, Rembrandt D. Scholz, and Gabriele Doblhammer
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Infant mortality ,Rostock ,Historical demography ,Church records ,Event history analysis ,Urban groups. The city. Urban sociology ,HT101-395 ,City population. Including children in cities, immigration ,HT201-221 ,Demography. Population. Vital events ,HB848-3697 - Abstract
The article examines the historical development of infant mortality in the Hanseatic city of Rostock, with a special focus on the question of how socio-economic factors influenced infant mortality in the early 19th century. Compared with the rest of Germany, the city exhibited an exceedingly low infant mortality level, in particular in the first third of the century. Our analyses show that the occupation of the father had a significant influence on the survival probability of a child in the first year of life in the early 19th century. Newborn children of fathers in lower ranked occupations exhibited a greater mortality risk in the first year of life than the offspring of fathers with occupations of higher status. The analyses are based on the registries of burials and baptisms of St. James’s Church (Jakobikirche) in Rostock, which are largely preserved and much of which has been digitalised. Based on these individual data, this is the first event history analysis model conducted in the context of infant mortality in a German city in the 19th century. This article is also the first to reveal Rostock infant mortality rates for the entire 19th century according to sex, thus closing two research gaps.
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- 2015
170. Dementia risk predictions from German claims data using methods of machine learning.
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Reinke, Constantin, Doblhammer, Gabriele, Schmid, Matthias, and Welchowski, Thomas
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Introduction: We examined whether German claims data are suitable for dementia risk prediction, how machine learning (ML) compares to classical regression, and what the important predictors for dementia risk are. Methods: We analyzed data from the largest German health insurance company, including 117,895 dementia‐free people age 65+. Follow‐up was 10 years. Predictors were: 23 age‐related diseases, 212 medical prescriptions, 87 surgery codes, as well as age and sex. Statistical methods included logistic regression (LR), gradient boosting (GBM), and random forests (RFs). Results: Discriminatory power was moderate for LR (C‐statistic = 0.714; 95% confidence interval [CI] = 0.708–0.720) and GBM (C‐statistic = 0.707; 95% CI = 0.700–0.713) and lower for RF (C‐statistic = 0.636; 95% CI = 0.628–0.643). GBM had the best model calibration. We identified antipsychotic medications and cerebrovascular disease but also a less‐established specific antibacterial medical prescription as important predictors. Discussion: Our models from German claims data have acceptable accuracy and may provide cost‐effective decision support for early dementia screening. [ABSTRACT FROM AUTHOR]
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- 2023
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171. FCC-ee: The Lepton Collider: Future Circular Collider Conceptual Design Report Volume 2
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Abada, A, Abbrescia, M, Abdussalam, S, Abdyukhanov, I, Abelleira Fernandez, J, Abramov, A, Aburaia, M, Acar, A, Adzic, P, Agrawal, P, Aguilar-Saavedra, J, Aguilera-Verdugo, J, Aiba, M, Aichinger, I, Aielli, G, Akay, A, Akhundov, A, Aksakal, H, Albacete, J, Albergo, S, Alekou, A, Aleksa, M, Aleksan, R, Alemany Fernandez, R, Alexahin, Y, Alía, R, Alioli, S, Alipour Tehrani, N, Allanach, B, Allport, P, Altınlı, M, Altmannshofer, W, Ambrosio, G, Amorim, D, Amstutz, O, Anderlini, L, Andreazza, A, Andreini, M, Andriatis, A, Andris, C, Andronic, A, Angelucci, M, Antinori, F, Antipov, S, Antonelli, M, Antonello, M, Antonioli, P, Antusch, S, Anulli, F, Apolinário, L, Apollinari, G, Apollonio, A, Appelö, D, Appleby, R, Apyan, A, Arbey, A, Arbuzov, A, Arduini, G, Arı, V, Arias, S, Armesto, N, Arnaldi, R, Arsenyev, S, Arzeo, M, Asai, S, Aslanides, E, Aßmann, R, Astapovych, D, Atanasov, M, Atieh, S, Attié, D, Auchmann, B, Audurier, A, Aull, S, Aumon, S, Aune, S, Avino, F, Avrillaud, G, Aydın, G, Azatov, A, Azuelos, G, Azzi, P, Azzolini, O, Azzurri, P, Bacchetta, N, Bacchiocchi, E, Bachacou, H, Baek, Y, Baglin, V, Bai, Y, Baird, S, Baker, M, Baldwin, M, Ball, A, Ballarino, A, Banerjee, S, Barber, D, Barducci, D, Barjhoux, P, Barna, D, Barnaföldi, G, Barnes, M, Barr, A, Barranco García, J, Barreiro Guimarães da Costa, J, Bartmann, W, Baryshevsky, V, Barzi, E, Bass, S, Bastianin, A, Baudouy, B, Bauer, F, Bauer, M, Baumgartner, T, Bautista-Guzmán, I, Bayındır, C, Beaudette, F, Bedeschi, F, Béguin, M, Bellafont, I, Bellagamba, L, Bellegarde, N, Belli, E, Bellingeri, E, Bellini, F, Bellomo, G, Belomestnykh, S, Bencivenni, G, Benedikt, M, Bernardi, G, Bernardi, J, Bernet, C, Bernhardt, J, Bernini, C, Berriaud, C, Bertarelli, A, Bertolucci, S, Besana, M, Besançon, M, Beznosov, O, Bhat, P, Bhat, C, Biagini, M, Biarrotte, J, Bibet Chevalier, A, Bielert, E, Biglietti, M, Bilei, G, Bilki, B, Biscari, C, Bishara, F, Blanco-García, O, Blánquez, F, Blekman, F, Blondel, A, Blümlein, J, Boccali, T, Boels, R, Bogacz, S, Bogomyagkov, A, Boine-Frankenheim, O, Boland, M, Bologna, S, Bolukbasi, O, Bomben, M, Bondarenko, S, Bonvini, M, Boos, E, Bordini, B, Bordry, F, Borghello, G, Borgonovi, L, Borowka, S, Bortoletto, D, Boscherini, D, Boscolo, M, Boselli, S, Bosley, R, Bossu, F, Botta, C, Bottura, L, Boughezal, R, Boutin, D, Bovone, G, Božović Jelisavić, I, Bozbey, A, Bozzi, C, Bozzini, D, Braccini, V, Braibant-Giacomelli, S, Bramante, J, Braun-Munzinger, P, Briffa, J, Britzger, D, Brodsky, S, Brooke, J, Bruce, R, Brückman De Renstrom, P, Bruna, E, Brüning, O, Brunner, O, Brunner, K, Bruzzone, P, Buffat, X, Bulyak, E, Burkart, F, Burkhardt, H, Burnet, J, Butin, F, Buttazzo, D, Butterworth, A, Caccia, M, Cai, Y, Caiffi, B, Cairo, V, Cakir, O, Calaga, R, Calatroni, S, Calderini, G, Calderola, G, Caliskan, A, Calvet, D, Calviani, M, Camalich, J, Camarri, P, Campanelli, M, Camporesi, T, Canbay, A, Canepa, A, Cantergiani, E, Cantore-Cavalli, D, Capeans, M, Cardarelli, R, Cardella, U, Cardini, A, Carloni Calame, C, Carra, F, Carra, S, Carvalho, A, Casalbuoni, S, Casas, J, Cascella, M, Castelnovo, P, Castorina, G, Catalano, G, Cavasinni, V, Cazzato, E, Cennini, E, Cerri, A, Cerutti, F, Cervantes, J, Chaikovska, I, Chakrabortty, J, Chala, M, Chamizo-Llatas, M, Chanal, H, Chanal, D, Chance, S, Chancé, A, Charitos, P, Charles, J, Charles, T, Chattopadhyay, S, Chehab, R, Chekanov, S, Chen, N, Chernoded, A, Chetvertkova, V, Chevalier, L, Chiarelli, G, Chiarello, G, Chiesa, M, Chiggiato, P, Childers, J, Chmielińska, A, Cholakian, A, Chomaz, P, Chorowski, M, Chou, W, Chrzaszcz, M, Chyhyrynets, E, Cibinetto, G, Ciftci, A, Ciftci, R, Cimino, R, Ciuchini, M, Clark, P, Coadou, Y, Cobal, M, Coccaro, A, Cogan, J, Cogneras, E, Collamati, F, Colldelram, C, Collier, P, Collot, J, Contino, R, Conventi, F, Cook, C, Cooley, L, Corcella, G, Cornell, A, Corral, G, Correia-Rodrigues, H, Costanza, F, Costa Pinto, P, Couderc, F, Coupard, J, Craig, N, Crespo Garrido, I, Crivellin, A, Croteau, J, Crouch, M, Cruz Alaniz, E, Curé, B, Curti, J, Curtin, D, Czech, M, Dachauer, C, D’Agnolo, R, Daibo, M, Dainese, A, Dalena, B, Daljevec, A, Dallapiazza, W, D’Aloia Schwartzentruber, L, Dam, M, D’Ambrosio, G, Das, S, Dasbakshi, S, da Silva, W, da Silveira, G, D’Auria, V, D’Auria, S, David, A, Davidek, T, Deandrea, A, de Blas, J, Debono, C, De Curtis, S, De Filippis, N, de Florian, D, Deghaye, S, de Jong, S, Del Bo, C, Del Duca, V, Delikaris, D, Deliot, F, Dell’Acqua, A, Delle Rose, L, Delmastro, M, De Lucia, E, Demarteau, M, Denegri, D, Deniau, L, Denisov, D, Denizli, H, Denner, A, D’Enterria, D, de Rijk, G, De Roeck, A, Derue, F, Deschamps, O, Descotes-Genon, S, Dev, P, de Vivie de Régie, J, Dewanjee, R, Di Ciaccio, A, Di Cicco, A, Dillon, B, Di Micco, B, Di Nezza, P, Di Vita, S, Doblhammer, A, Dominjon, A, D’Onofrio, M, Dordei, F, Drago, A, Draper, P, Drasal, Z, Drewes, M, Duarte, L, Dubovyk, I, Duda, P, Dudarev, A, Dudko, L, Duellmann, D, Dünser, M, du Pree, T, Durante, M, Duran Yildiz, H, Dutta, S, Duval, F, Duval, J, Dydyshka, Y, Dziewit, B, Eisenhardt, S, Eisterer, M, Ekelof, T, El Khechen, D, Ellis, S, Ellis, J, Ellison, J, Elsener, K, Elsing, M, Enari, Y, Englert, C, Eriksson, H, Eskola, K, Esposito, L, Etisken, O, Etzion, E, Fabbricatore, P, Falkowski, A, Falou, A, Faltova, J, Fan, J, Fanò, L, Farilla, A, Farinelli, R, Farinon, S, Faroughy, D, Fartoukh, S, Faus-Golfe, A, Fawcett, W, Felici, G, Felsberger, L, Ferdeghini, C, Fernandez Navarro, A, Fernández-Téllez, A, Ferradas Troitino, J, Ferrara, G, Ferrari, R, Ferreira, L, Ferreira da Silva, P, Ferrera, G, Ferro, F, Fiascaris, M, Fiorendi, S, Fiorio, C, Fischer, O, Fischer, E, Flieger, W, Florio, M, Fonnesu, D, Fontanesi, E, Foppiani, N, Foraz, K, Forkel-Wirth, D, Forte, S, Fouaidy, M, Fournier, D, Fowler, T, Fox, J, Francavilla, P, Franceschini, R, Franchino, S, Franco, E, Freitas, A, Fuks, B, Furukawa, K, Furuseth, S, Gabrielli, E, Gaddi, A, Galanti, M, Gallo, E, Ganjour, S, Gao, J, Garcia Diaz, V, García Pérez, M, García Tabarés, L, Garion, C, Garzelli, M, Garzia, I, Gascon-Shotkin, S, Gaudio, G, Gay, P, Ge, S, Gehrmann, T, Genest, M, Gerard, R, Gerigk, F, Gerwig, H, Giacomelli, P, Giagu, S, Gianfelice-Wendt, E, Gianotti, F, Giffoni, F, Gilardoni, S, Gil Costa, M, Giovannetti, M, Giovannozzi, M, Giubellino, P, Giudice, G, Giunta, A, Gladilin, L, Glukhov, S, Gluza, J, Gobbi, G, Goddard, B, Goertz, F, Golling, T, Goncalves, V, Goncalves Netto, D, Gonçalo, R, Gonzalez Gomez, L, Gorgi Zadeh, S, Gorine, G, Gorini, E, Gourlay, S, Gouskos, L, Grancagnolo, F, Grassellino, A, Grau, A, Graverini, E, Gray, H, Greco, M, Grenard, J, Grimm, O, Grojean, C, Gromov, V, Grosse-Oetringhaus, J, Grudiev, A, Grzanka, K, Gu, J, Guadagnoli, D, Guidi, V, Guiducci, S, Guillermo Canton, G, Günaydin, Y, Gupta, R, Gutierrez, J, Gutleber, J, Guyot, C, Guzey, V, Gwenlan, C, Haberstroh, C, Hacışahinoğlu, B, Haerer, B, Hahn, K, Hahn, T, Hammad, A, Han, C, Hance, M, Hannah, A, Harris, P, Hati, C, Haug, S, Hauptman, J, Haurylavets, V, He, H, Hegglin, A, Hegner, B, Heinemann, K, Heinemeyer, S, Helsens, C, Henriques, A, Hernandez, P, Hernández-Pinto, R, Hernandez-Sanchez, J, Herzig, T, Hiekkanen, I, Hillert, W, Hoehn, T, Hofer, M, Höfle, W, Holdener, F, Holleis, S, Holzer, B, Hong, D, Honorato, C, Hopkins, S, Hrdinka, J, Hug, F, Humann, B, Humer, H, Hurth, T, Hutton, A, Iacobucci, G, Ibarrola, N, Iconomidou-Fayard, L, Ilyina-Brunner, K, Incandela, J, Infantino, A, Ippolito, V, Ishino, M, Islam, R, Ita, H, Ivanovs, A, Iwamoto, S, Iyer, A, Izquierdo Bermudez, S, Jadach, S, Jamin, D, Janot, P, Jarry, P, Jeff, A, Jenny, P, Jensen, E, Jensen, M, Jiang, X, Jiménez, J, Jones, M, Jones, O, Jowett, J, Jung, S, Kaabi, W, Kado, M, Kahle, K, Kalinovskaya, L, Kalinowski, J, Kamenik, J, Kannike, K, Kara, S, Karadeniz, H, Karaventzas, V, Karpov, I, Kartal, S, Karyukhin, A, Kashikhin, V, Katharina Behr, J, Kaya, U, Keintzel, J, Keinz, P, Keppel, K, Kersevan, R, Kershaw, K, Khanpour, H, Khatibi, S, Khatiri Yanehsari, M, Khoze, V, Kieseler, J, Kilic, A, Kilpinen, A, Kim, Y, Kim, D, Klein, U, Klein, M, Kling, F, Klinkenberg, N, Klöppel, S, Klute, M, Klyukhin, V, Knecht, M, Kniehl, B, Kocak, F, Koeberl, C, Kolano, A, Kollegger, A, Kołodziej, K, Kolomiets, A, Komppula, J, Koop, I, Koppenburg, P, Koratzinos, M, Kordiaczyńska, M, Korjik, M, Kortner, O, Kostka, P, Kotlarski, W, Kotnig, C, Köttig, T, Kotwal, A, Kovalenko, A, Kowalski, S, Kozaczuk, J, Kozlov, G, Kozub, S, Krainer, A, Kramer, T, Krämer, M, Krammer, M, Krasnov, A, Krauss, F, Kravalis, K, Kretzschmar, L, Kriske, R, Kritscher, H, Krkotic, P, Kroha, H, Kucharczyk, M, Kuday, S, Kuendig, A, Kuhlmann, G, Kulesza, A, Kumar, M, Kusina, A, Kuttimalai, S, Kuze, M, Kwon, T, Lackner, F, Lackner, M, La Francesca, E, Laine, M, Lamanna, G, La Mendola, S, Lançon, E, Landsberg, G, Langacker, P, Lange, C, Langner, A, Lankford, A, Lansberg, J, Lari, T, Laycock, P, Lebrun, P, Lechner, A, Lee, K, Lee, S, Lee, R, Lefevre, T, Le Guen, 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- Abstract
In response to the 2013 Update of the European Strategy for Particle Physics, the Future Circular Collider (FCC) study was launched, as an international collaboration hosted by CERN. This study covers a highest-luminosity high-energy lepton collider (FCC-ee) and an energy-frontier hadron collider (FCC-hh), which could, successively, be installed in the same 100 km tunnel. The scientific capabilities of the integrated FCC programme would serve the worldwide community throughout the 21st century. The FCC study also investigates an LHC energy upgrade, using FCC-hh technology. This document constitutes the second volume of the FCC Conceptual Design Report, devoted to the electron-positron collider FCC-ee. After summarizing the physics discovery opportunities, it presents the accelerator design, performance reach, a staged operation scenario, the underlying technologies, civil engineering, technical infrastructure, and an implementation plan. FCC-ee can be built with today’s technology. Most of the FCC-ee infrastructure could be reused for FCC-hh. Combining concepts from past and present lepton colliders and adding a few novel elements, the FCC-ee design promises outstandingly high luminosity. This will make the FCC-ee a unique precision instrument to study the heaviest known particles (Z, W and H bosons and the top quark), offering great direct and indirect sensitivity to new physics.
- Published
- 2019
172. HE-LHC: The High-Energy Large Hadron Collider: Future Circular Collider Conceptual Design Report Volume 4
- Author
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B., Mancinelli G., Mandrik P., Manfrinetti P., Mangano M., Manil P., Mannelli M., Marchiori G., Marhauser F., Mariani V., Marinozzi V., Mariotto S., Marquard P., Marquet C., Marriott-Dodington T., Martin R., Martin O., Martin Camalich J., Martinez T., Martinez Bruzual H., Martinez-Hernandez M. I., Martins D. E., Marzani S., Marzocca D., Marzola L., Masciocchi S., Masina I., Massimiliano A., Massironi A., Masubuchi T., Matveev V. A., Mazzoni M. A., McCullough M., McIntosh P. A., Meade P., Medina L., Meier A., Meignan J., Mele B., Mendes Saraiva J. G., Menez F., Mentink M., Meoni E., Meridiani P., Merk M., Mermod P., Mertens V., Mether L., Metral E., Migliorati M., Milanese A., Milardi C., Milhano G., Militsyn B. L., Millet F., Minashvili I., Minervini J. V., Miralles L. S., Mirarchi D., Mishima S., Missiaen D. P., Mitselmakher G., Mitshuhashi T., Mnich J., Mohammadi Najafabadi M., Mohapatra R. N., Mokhov N., Molson J. G., Monge R., Montag C., Montagna G., Monteil S., Montenero G., Montesinos E., Moortgat F., Morange N., Morello G., Moreno Llacer M., Moretti M., Moretti S., Morley A. K., Moros A., Morozov I., Morretta V., Morrone M., Mostacci A., Muanza S., Muchnoi N., Muhlegger M., Mulder M., Mulders M., Muller B., Muller F., Muller A. -S., Munilla J., Murray M. J., Muttoni Y., Myers S., Mylona M., Nachtman J., Nakamoto T., Nardecchia M., Nardini G., Nason P., Nergiz Z., Nesterenko A. V., Netto J. A., Nettstrater A., Neubuser C., Neundorf J., Niccoli F., Nicrosini O., Nie Y., Niedermayer U., Niedziela J., Niemi A., Nikitin S. A., Nisati A., No J. M., Nonis M., Nosochkov Y., Novak M., Novokhatski A., O'Callaghan J. M., Ochando C., Ogur S., Ohmi K., Oide K., Okorokov V. A., Okumura Y., Oleari C., Olness F. I., Onel Y., Ortino M., Osborne J., Osland P., Otto T., Oyulmaz K. Y., Ozansoy A., Ozcan V., Ozdemir K., Pagliarone C. E., Pais da Silva H. F., Palmieri E., Palumbo L., Pampaloni A., Pan R. -Q., Panareo M., Panella O., Panico G., Panizzo G., Pankov A. A., Pantsyrny V., Papadopoulos C. G., Papaefstathiou A., Papaphilippou Y., Parker M. A., Parma V., Pasquali M., Patra S. K., Patterson R., Paukkunen H., Pauss F., Peggs S., Penttinen J. -P., Peon G., Perepelkin E. E., Perez E., Perez J. C., Perez G., Perez F., Perez Codina E., Perez Morales J., Perfilov M., Pernegger H., Peruzzi M., Pes C., Peters K., Petracca S., Petriello F., Pezzotti L., Pfeiffer S., Piccinini F., Pieloni T., Pierini M., Pikhartova H., Pikurs G., Pilicer E., Piminov P., Pira C., Pittau R., Placzek W., Plagge M., Plehn T., Pleier M. -A., Ploskon M., Podeur M., Podlech H., Podzorny T., Poggioli L., Poiron A., Polesello G., Poli Lener M., Polini A., Polinski J., Polozov S. M., Ponce L., Pont M., Pontecorvo L., Portaluri T., Potamianos K., Prasse C., Prausa M., Preinerstorfer A., Premat E., Price T., Primavera M., Prino F., Prioli M., Proudfoot J., Provino A., Pugnat T., Pukhaeva N., Pulawski S., Pulikowski D., Punzi G., Putti M., Pyarelal A., Quack H., Quispe M., Racioppi A., Rafique H., Raginel V., Raidal M., Ramirez-Uribe N. S., Ramsey-Musolf M. J., Rata R., Ratoff P., Ravotti F., Rebello Teles P., Reboud M., Redaelli S., Renner E., Renteria-Olivo A. E., Rescigno M., Reuter J., Ribon A., Ricci A. M., Riegler W., Riemann S., Riemann B., Riemann T., Rifflet J. M., Rimmer R. A., Rinaldesi R., Rinolfi L., Rios Rubiras O., Risselada T., Rivetti A., Rivkin L., Rizzo T., Robens T., Robert F., Robson A. J., Rochepault E., Roda C., Rodrigo G., Rodriguez-Cahuantzi M., Rogan C., Roig M., Rojas-Torres S., Rojo J., Rolandi G., Rolando G., Roloff P., Romanenko A., Romanov A., Roncarolo F., Rosado Sanchez A., Rosaz G., Rossi L., Rossi A., Rossmanith R., Rousset B., Royon C., Ruan X., Ruehl I., Ruhlmann-Kleider V., Ruiz R., Rumyantsev L., Ruprecht R., Ryazanov A. I., Saba A., Sadykov R., Saez de Jauregui D., Sahin M., Sailer B., Saito M., Sala F., Salam G. P., Salfeld-Nebgen J., Salgado C. A., Salini S., Sallese J. M., Salmi T., Salzburger A., Sampayo O. A., Sanfilippo S., Santiago J., Santopinto E., Santoro R., Sanz Ull A., Sarasola X., Sarpun I. H., Sauvain M., Savelyeva S., Sawada R., Sborlini G. F. R., Schaffer A., Schaumann M., Schenk M., Scheuerlein C., Schienbein I., Schlenga K., Schmickler H., Schmidt R., Schoerling D., Schoning A., Schorner-Sadenius T., Schott M., Schulte D., Schwaller P., Schwanenberger C., Schwemling P., Schwerg N., Scibile L., Sciuto A., Scomparin E., Sebastiani C., Seeber B., Segreti M., Selva P., Selvaggi M., Senatore C., Senol A., Serin L., Serluca M., Serra N., Seryi A., Sestini L., Sfyrla A., Shaposhnikov M., Shaposhnikova E., Sharkov B. Y., Shatilov D., Shelton J., Shiltsev V., Shipsey I. P., Shirkov G. D., Shivaji A., Shwartz D., Sian T., Sidorov S., Siemko A., Silvestrini L., Simand N., Simon F., Singh B. K., Siodmok A., Sirois Y., Sirtori E., Sirvinskaite R., Sitar B., Sjostrand T., Skands P., Skordis E., Skovpen K., Skrzypek M., Slade E., Slavich P., Slovak R., Smaluk V., Smirnov V., Snoeys W., Soffi L., Sollander P., Solovyanov O., Soltveit H. K., Song H., Sopicki P., Sorbi M., Spallino L., Spannowsky M., Spataro B., Sphicas P., Spiesberger H., Spiller P., Spira M., Srivastava T., Stachel J., Stakia A., Stanyard J. L., Starchenko E., Starikov A. Y., Stasto A. M., Statera M., Steerenberg R., Steggemann J., Stenvall A., Stivanello F., Stockinger D., Stoel L. S., Stoger-Pollach M., Strauss B., Stuart M., Stupakov G., Su S., Sublet A., Sugita K., Sulak L., Sullivan M. K., Sultansoy S., Sumida T., Suzuki K., Sylva G., Syphers M. J., Sznajder A., Taborelli M., Tahir N. A., Takeuchi M., Tal Hod E., Tambasco C., Tanaka J., Tang K., Tapan I., Taroni S., Tartarelli G. F., Tassielli G., Tavian L., Taylor T. M., Taylor G. N., Teixeira A. M., Tejeda-Munoz G., Telnov V. I., Tenchini R., ten Kate H. H. J., Terashi K., Tesi A., Testa M., Tetrel C., Teytelman D., Thaler J., Thamm A., Thomas S., Tiirakari M. T., Tikhomirov V., Tikhonov D., Timko H., Tisserand V., Tkachenko L. M., Tkaczuk J., Tock J. P., Todd B., Todesco E., Tomas Garcia R., Tommasini D., Tonelli G., Toral F., Torims T., Torre R., Townsend Z., Trant R., Treille D., Trentadue L., Tricoli A., Tricomi A., Trischuk W., Tropin I. S., Tuchming B., Tudora A. A., Turbiarz B., Turk Cakir I., Turri M., Tydecks T., Usovitsch J., Uythoven J., Vaglio R., Valassi A., Valchkova F., Valdivia Garcia M. A., Valente P., Valente R. U., Valente-Feliciano A. -M., Valentino G., Vale Silva L., Valet J. M., Valizadeh R., Valle J. W. F., Vallecorsa S., Vallone G., van Leeuwen M., van Rienen U. H., van Riesen-Haupt L., Varasteh M., Vecchi L., Vedrine P., Velev G., Veness R., Ventura A., Venturini Delsolaro W., Verducci M., Verhaaren C. B., Vernieri C., Verweij A. P., Verwilligen O., Viazlo O., Vicini A., Viehhauser G., Vignaroli N., Vignolo M., Vitrano A., Vivarelli I., Vlachos S., Vogel M., Vogt D. M., Volkl V., Volkov P., Volpini G., von Ahnen J., Vorotnikov G., Voutsinas G. G., Vysotsky V., Wagner U., Wallny R., Wang L. -T., Wang R., Wang K., Ward B. F. L., Watson T. P., Watson N. K., Ws Z., Weiland C., Weinzierl S., Welsch C. P., Wenninger J., Widorski M., Wiedemann U. A., Wienands H. -U., Wilkinson G., Williams P. H., Winter A., Wohlfahrt A., Wojton T., Wollmann D., Womersley J., Woog D., Wu X., Wulzer A., Yanehsari M. K., Yang G., Yang H. J., Yao W. -M., Yazgan E., Yermolchik V., Yilmaz A., Yoo H. -D., Yost S. A., You T., Young C., Yu T. -T., Yu F., Zaborowska A., Zadeh S. G., Zahnd M., Zanetti M., Zanotto L., Zawiejski L., Zeiler P., Zerlauth M., Zernov S. M., Zevi Dell Porta G., Zhang Z., Zhang Y., Zhang C., Zhang H., Zhao Z., Zhong Y. -M., Zhou J., Zhou D., Zhuang P., Zick G., Zimmermann F., Zinn-Justin J., Zivkovic L., Zlobin A. V., Zobov M., Zupan J., and Zurita J.
- Abstract
In response to the 2013 Update of the European Strategy for Particle Physics (EPPSU), the Future Circular Collider (FCC) study was launched as a world-wide international collaboration hosted by CERN. The FCC study covered an energy-frontier hadron collider (FCC-hh), a highest-luminosity high-energy lepton collider (FCC-ee), the corresponding 100 km tunnel infrastructure, as well as the physics opportunities of these two colliders, and a high-energy LHC, based on FCC-hh technology. This document constitutes the third volume of the FCC Conceptual Design Report, devoted to the hadron collider FCC-hh. It summarizes the FCC-hh physics discovery opportunities, presents the FCC-hh accelerator design, performance reach, and staged operation plan, discusses the underlying technologies, the civil engineering and technical infrastructure, and also sketches a possible implementation. Combining ingredients from the Large Hadron Collider (LHC), the high-luminosity LHC upgrade and adding novel technologies and approaches, the FCC-hh design aims at significantly extending the energy frontier to 100 TeV. Its unprecedented centre-of-mass collision energy will make the FCC-hh a unique instrument to explore physics beyond the Standard Model, offering great direct sensitivity to new physics and discoveries.
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- 2019
173. Seasonal Mortality in Denmark : The role of sex and age
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Rau, Roland and Doblhammer, Gabriele
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- 2003
174. Potential of Prevention Strategies For The Modifiable Risk Factor Type 2 Diabetes On The Future Number of Dementia Patients in Germany– A Multi-State Projection Through 2040
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Anne Fink, Gabriele Doblhammer, and Ilja Demuth
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Gerontology ,Multi state ,business.industry ,mental disorders ,medicine ,Dementia ,Type 2 diabetes ,Risk factor (computing) ,medicine.disease ,business ,Projection (set theory) - Abstract
Background We assess the impact of prevention strategies regarding type 2 diabetes as a modifiable risk factor for dementia and its consequences for the future number of dementia patients in Germany. Methods We used a random sample of health claims data (N = 250,000) of insured persons aged 50 + drawn in 2014, and data on population size and death rates in 2015 from the Human Mortality Database. Using exponential hazard models, we calculated age- and sex-specific transition probabilities and death rates between the states (no diabetes/no dementia, diabetes/no dementia, no diabetes/dementia, diabetes/dementia). In multi-state projections, we estimated the future number of dementia cases aged 75 + through 2040 depending on the development of the incidence of diabetes among persons without diabetes and without dementia, and the dementia incidence among persons with and without diabetes. Results In 2015 there were 1.34 million people with dementia aged 75 + in Germany. A relative annual reduction in death rates of 2.5% will increase this number to 2.68 million by 2040. A relative reduction of diabetes incidence by 1% annually would decrease dementia cases by around 26,000, while a reduction of dementia incidence among people with diabetes by 1% would result in 175,000 fewer dementia cases. Both prevention strategies combined would prevent 191,000 dementia cases in 2040. Conclusions The increase in life expectancy is decisive for the future number of people with dementia. Strategies of better diabetes treatment have the potential to lower the number of dementia patients in the coming decades.
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- 2021
175. Progression to severe visual impairment and blindness in POAG patients: pace and risk factors-a cohort study using German health claims data
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Sophia Nestler, Daniel Kreft, Gabriele Doblhammer, Rudolf F Guthoff, and Stefanie Frech
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vision ,genetic structures ,complications [Vision Disorders] ,public health ,Vision Disorders ,Vision, Low ,complications [Vision, Low] ,RE1-994 ,Blindness ,eye diseases ,complications [Glaucoma, Open-Angle] ,Cohort Studies ,Ophthalmology ,glaucoma ,Risk Factors ,Humans ,epidemiology ,ddc:610 ,sense organs ,epidemiology [Blindness] ,Glaucoma, Open-Angle - Abstract
ObjectiveGlaucoma is a leading cause of severe visual impairment and blindness (SVI/B) worldwide. Hence, it is of utmost importance to explore relevant risk factors and study the pace of progression to SVI/B.Methods and analysisWe used a random sample of 250 000 persons from administrative individual-level health records of the Allgemeine Ortskrankenkassen between 2004 and 2015. We identified 3535 primary open-angle glaucoma (POAG) patients aged 55 and older and followed them for up to 10 years. Monocular and binocular SVI/B were defined by the ICD-10 classifications H54.0 and H54.4. Ophthalmological and chronic disease risk factors were analysed by applying a multivariable Cox proportional hazard model.ResultsThe risk of SVI/B in POAG patients was significantly increased by the presence of specific additional eye diseases such as secondary glaucoma (HR: 3.08, p0.05).ConclusionAlthough progression to SVI/B is relatively rare in POAG patients in Germany, one must be aware of additional risk factors, such as secondary glaucoma, retinal vascular occlusion and AMD. Regular ophthalmological examinations help prevent the progression of SVI/B, especially in the first years after the POAG diagnosis. Specific, targeted, and timely treatments for the other eye diseases could help prevent or delay SVI/B.
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- 2021
176. Recurring Gastrointestinal Infections Increase the Risk of Dementia
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Fink, Anne, primary, Doblhammer, Gabriele, additional, and Tamgüney, Gültekin, additional
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- 2021
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177. Regional Characteristics of the Second Wave of SARS-CoV-2 Infections and COVID-19 Deaths in Germany
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Doblhammer, Gabriele, primary, Kreft, Daniel, additional, and Reinke, Constantin, additional
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- 2021
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178. Long-term exposure to fine particulate matter, lung function and cognitive performance: A prospective Dutch cohort study on the underlying routes
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Aretz, Benjamin, primary, Janssen, Fanny, additional, Vonk, Judith M., additional, Heneka, Michael T., additional, Boezen, H. Marike, additional, and Doblhammer, Gabriele, additional
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- 2021
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179. Ein langes gesundes Leben?
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Gabriele Doblhammer
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Statistics and Probability ,General Social Sciences ,General Economics, Econometrics and Finance - Abstract
Bevolkerungsbezogene Beobachtungsstudien unter Verwendung prozessproduzierter Sekundardaten, die nicht im Rahmen des Forschungsprozesses entstehen, liefern wichtige Hinweise zum Gesundheitsgeschehen. Der Artikel stellt prozessproduzierte Daten vor, die in den letzten Jahren fur die wissenschaftliche Forschung erschlossen wurden und diskutiert, inwieweit die daraus gewonnenen epidemiologischen Maszahlen ein valides Abbild des Krankheitsgeschehens sind. Vor- und Nachteile der Daten werden im Vergleich zu bevolkerungsbasierten Surveydaten dargestellt. Die neuesten Befunde auf Basis der Daten der gesetzlichen Kranken- und Pflegekassen zeigen, dass die steigende Lebenserwartung mit einem Anstieg an gesunden Lebensjahren und einer Kompression der Lebensjahre mit Demenzen und Pflegebedarf einhergeht.
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- 2019
180. Das Risiko für Erwerbsminderungsrente bei Herz-Kreislauf-Erkrankungen nach medizinischen Rehabilitationen: Eine ereignisdatenanalytische Studie auf Basis von Daten der Deutschen Rentenversicherung
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Gabriele Doblhammer, Alexander Barth, and Benjamin Aretz
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Male ,medicine.medical_specialty ,National Health Programs ,epidemiology [Germany] ,Medical rehabilitation ,Life Change Events ,Pensions ,03 medical and health sciences ,0302 clinical medicine ,0502 economics and business ,Pension insurance ,medicine ,Humans ,ddc:610 ,030212 general & internal medicine ,Gynecology ,Pension ,Cardiac Rehabilitation ,050208 finance ,business.industry ,05 social sciences ,Public Health, Environmental and Occupational Health ,Disability pension ,Cardiovascular Diseases ,Income ,Female ,business - Abstract
Zusammenfassung Ziel der Studie Bislang fehlen diagnosespezifische Analysen zum Risiko für Erwerbsminderungsrente (EMR). Unsere Studie konzentriert sich auf Personen, die bereits eine medizinische Rehabilitation (Reha) aufgrund von Herz-Kreislauf-Krankheiten absolviert haben. Methodik Wir nutzen den für Forschungszwecke verfügbaren Datensatz „Abgeschlossene Rehabilitationen im Versicherungsverlauf 2006–2013“ der Deutschen Rentenversicherung (DRV). Mittels Ereignisdatenanalyse haben wir die Übergänge in Erwerbsminderungsrente diagnoseübergreifend sowie diagnosespezifisch untersucht. Dabei nutzen wir Kaplan-Meier-Schätzer und altersstandardisierte sowie geschlechtsspezifische Übergangsraten. Multivariat schätzen wir mittels Cox-Regressionen die Effekte von soziodemografischen Determinanten auf das Risiko für EMR, um besonders relevante Risikofaktoren herauszuarbeiten. Ergebnisse Besonders rasche Übergänge in EMR nach der Reha wurden für die Diagnosegruppen Hirninfarkt, Kardiomyopathie sowie zerebrovaskuläre Krankheiten festgestellt. Besonders relevante Risikofaktoren für EMR sind eine niedrige Bildung, Teilzeit- oder keine Erwerbstätigkeit vor der Reha sowie ein ostdeutscher Wohnort. Schlussfolgerung Besonderer Bedarf erfolgreicher medizinischer Rehabilitation zeigt sich für Patienten mit Hirninfarkt, Kardiomyopathie oder zerebrovaskulären Krankheiten. Bei Multimorbiditäten sollte gerade auf diese Diagnosen ein besonderes Augenmerk gelegt werden. Die Reintegration sozial schwacher Personengruppen in das Erwerbsleben zur Vermeidung von EMR scheint sich darüber hinaus als besonders schwierig darzustellen.
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- 2019
181. Publisher’s Note: Design of beam optics for the future circular collider e^{+}e^{-} collider rings [Phys. Rev. Accel. Beams 19, 111005 (2016)]
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K. Oide, M. Aiba, S. Aumon, M. Benedikt, A. Blondel, A. Bogomyagkov, M. Boscolo, H. Burkhardt, Y. Cai, A. Doblhammer, B. Haerer, B. Holzer, J. M. Jowett, I. Koop, M. Koratzinos, E. Levichev, L. Medina, K. Ohmi, Y. Papaphilippou, P. Piminov, D. Shatilov, S. Sinyatkin, M. Sullivan, J. Wenninger, U. Wienands, D. Zhou, and F. Zimmermann
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Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Published
- 2017
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182. Regional Pattern of Dementia and Prevalence of Hearing Impairment in Germany
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Teipel, Stefan, Fritze, Thomas, Ovari, Attila, Buhr, Anne, Kilimann, Ingo, Witt, Gabriele, Pau, Hans-Wilhelm, and Doblhammer, Gabriele
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- 2015
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183. Effect of pioglitazone medication on the incidence of dementia
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Heneka, Michael T., Fink, Anne, and Doblhammer, Gabriele
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- 2015
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184. Longevity and month of birth : Evidence from Austria and Denmark
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Doblhammer, Gabriele
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- 1999
185. Ageing populations: the challenges ahead
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Christensen, Kaare, Doblhammer, Gabriele, Rau, Roland, and Vaupel, James W
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- 2009
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186. Health determinants among refugees in Austria and Germany: A propensity-matched comparative study for Syrian, Afghan, and Iraqi refugees
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Bernhard Rengs, Gabriele Doblhammer, Daniela Georges, Isabella Buber-Ennser, and Judith Kohlenberger
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504006 Demography ,Male ,European People ,504021 Migration research ,Health Status ,German People ,Social Sciences ,Geographical locations ,Health Services Accessibility ,Germany ,Health care ,Medicine and Health Sciences ,Ethnicities ,Psychology ,Public and Occupational Health ,Language ,education.field_of_study ,Refugees ,Multidisciplinary ,Health Policy ,Age Factors ,Middle Aged ,Europe ,Austria ,509012 Sozialpolitik ,Iraq ,Medicine ,Nationality ,Educational Status ,509012 Social policy ,Female ,Behavioral and Social Aspects of Health ,Research Article ,Adult ,statistics & numerical data [Health Services Accessibility] ,statistics & numerical data [Refugees] ,Science ,Refugee ,Population ,504021 Migrationsforschung ,Young Adult ,Afghan ,Political science ,Mental Health and Psychiatry ,Humans ,ddc:610 ,Social determinants of health ,European Union ,education ,Propensity Score ,ethnology [Austria] ,Demography ,504006 Demographie ,Syria ,business.industry ,Cognitive Psychology ,Afghanistan ,Biology and Life Sciences ,Educational attainment ,classification [Refugees] ,ethnology [Germany] ,Cross-Sectional Studies ,Propensity score matching ,Cognitive Science ,Population Groupings ,People and places ,business ,Neuroscience - Abstract
In recent years, Germany and Austria have been among the leading European receiving countries for asylum seekers and refugees (AS&R). The two countries have cultural and economic similarities, but differ, for example, in their health care systems, with AS&R having unrestricted access to health services upon arrival in Austria, but not in Germany. This study investigates the determinants of health among refugees in Austria and Germany, and how these determinants differ between the two countries. We analyze comparable and harmonized survey data from both countries for Syrian, Afghan, and Iraqi nationals aged 18 to 59 years who had immigrated between 2013 and 2016 (Germany: n = 2,854; Austria: n = 374). The study adopts a cross-sectional design, and uses propensity score matching to examine comparable AS&R in the two receiving countries. The results reveal that the AS&R in Germany (72%) were significantly less likely to report being in (very) good health than their peers in Austria (89%). Age and education had large impacts on health, whereas the effects of length of stay and length of asylum process were smaller. Compositional differences in terms of age, sex, nationality, education, and partnership situation explained the country differences only in part. After applying propensity score matching to adjust for structural differences and to assess non-confounded country effects, the probability of reporting (very) good health was still 12 percentage points lower in Germany than in Austria. We conclude that many of the determinants of health among AS&R correspond to those in the non-migrant population, and thus call for the implementation of similar health policies. The health disadvantage found among the AS&R in Germany suggests that removing their initially restricted access to health care may improve their health.
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- 2021
187. Future outpatient health-care utilisation in an ageing population: projections up to the year 2020 based on the Study of Health in Pomerania (SHIP)
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Siewert, Ulrike, Fendrich, Konstanze, Markus, Marcello Ricardo Paulista, Baumeister, Sebastian E., Doblhammer-Reiter, Gabriele, Scholz, Rembrandt D., and Hoffmann, Wolfgang
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- 2013
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188. Potential of Prevention Strategies For The Modifiable Risk Factor Type 2 Diabetes On The Future Number of Dementia Patients in Germany– A Multi-State Projection Through 2040
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Fink, Anne, primary, Demuth, Ilja, additional, and Doblhammer, Gabriele, additional
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- 2021
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189. Approaches and Methods for Causal Analysis of Panel Data in the Area of Morbidity and Mortality
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Gabriele Doblhammer and R Hoffmann
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validity ,causality ,Population ,morbidity ,Population Studies, Sociology of Population ,methods ,External validity ,Sterblichkeit ,panel data ,Urban groups. The city. Urban sociology ,Morbidität ,Bevölkerung ,Internal validity ,HB848-3697 ,education ,Research question ,Social sciences, sociology, anthropology ,Demography ,HT201-221 ,Estimation ,Erhebungstechniken und Analysetechniken der Sozialwissenschaften ,education.field_of_study ,Demography. Population. Vital events ,Actuarial science ,Sozialwissenschaften, Soziologie ,Methode ,Gesundheit ,causal analysis ,HT101-395 ,City population. Including children in cities, immigration ,health ,Causality ,Validität ,mortality ,Kausalität ,Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods ,Kausalanalyse ,method ,Panel ,ddc:300 ,Observational study ,Psychology ,Panel data - Abstract
We aim to give an overview of the state of the art of causal analysis of demographic issues related to morbidity and mortality. We will systematically introduce strategies to identify causal mechanisms, which are inherently linked to panel data from observational surveys and population registers. We will focus on health and mortality, and on the issues of unobserved heterogeneity and reverse causation between health and (1) retirement, (2) socio-economic status, and (3) characteristics of partnership and fertility history. The boundaries between demographic research on mortality and morbidity and the neighbouring disciplines epidemiology, public health and economy are often blurred. We will highlight the specific contribution of demography by reviewing methods used in the demographic literature. We classify these methods according to important criteria, such as a design-based versus model-based approach and control for unobserved confounders. We present examples from the literature for each of the methods and discuss the assumptions and the advantages and disadvantages of the methods for the identification of causal effects in demographic morbidity and mortality research. The differentiation between methods that control for unobserved confounders and those that do not reveal a fundamental difference between (1) methods that try to emulate a randomised experiment and have higher internal validity and (2) methods that attempt to achieve conditional independence by including all relevant factors in the model. The latter usually have higher external validity and require more assumptions and prior knowledge of relevant factors and their relationships. It is impossible to provide a general definition of the sort of validity that is more important, as there is always a trade-off between generalising the results to the population of interest and avoiding biases in the estimation of causal effects in the sample. We hope that our review will aid researchers in identifying strategies to answer their specific research question. * This article belongs to a special issue on "Identification of causal mechanisms in demographic research: The contribution of panel data".
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- 2021
190. Recurring Gastrointestinal Infections Increase the Risk of Dementia
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Fink, Anne, Doblhammer, Gabriele, and Tamgüney, Gültekin
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Aged, 80 and over ,Gastrointestinal Diseases ,complications [Alzheimer Disease] ,epidemiology [Dementia] ,Middle Aged ,Gastrointestinal Microbiome ,Alzheimer Disease ,Risk Factors ,Case-Control Studies ,microbiology [Dementia] ,Humans ,Dementia ,ddc:610 ,Alzheimer’s disease ,Research Article ,Aged ,microbiology [Gastrointestinal Diseases] ,mortality [Gastrointestinal Diseases] ,dementia ,risk - Abstract
Background: Gastrointestinal infections cause significant health problems, including those affecting the immune, musculoskeletal, and nervous system, and are one of the leading causes for death worldwide. Recent findings suggest that microbiota of the gastrointestinal tract contribute to dementia. Objective: In this nested case-control study we investigated the role of common gastrointestinal infections on the subsequent risk of dementia. Methods: We used a longitudinal sample of 202,806 individuals from health claims data of the largest German health insurer and applied a nested case-control design with 23,354 initial dementia cases between 2006 and 2014 and 23,354 matched controls. We used conditional logistic regression to compute odds ratios (ORs) for dementia and corresponding 95%confidence intervals (CIs), adjusting for potential confounders. Results: The risk of dementia was increased in patients with recurring incidences of quarters with diagnosed gastrointestinal infections when compared to the unexposed population (one quarter: OR = 1.49, 95%CI = 1.40–1.58; two quarters: OR = 1.70, 95%CI = 1.51–1.91; three or more quarters: OR = 1.64, 95%CI = 1.40–1.93), adjusted for potential confounders. Conclusion: Our findings suggest that recurring gastrointestinal infections are associated with an increased risk of subsequent dementia.
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- 2021
191. Incidence, individual, and macro level risk factors of severe binocular visual impairment and blindness in persons aged 50 and older
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Stefanie Frech, Rudolf F. Guthoff, Daniel Kreft, and Gabriele Doblhammer
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Male ,Eye Diseases ,Epidemiology ,Eye disease ,Visual Acuity ,Cardiovascular Medicine ,Blindness ,Cohort Studies ,Macular Degeneration ,0302 clinical medicine ,Medical Conditions ,Endocrinology ,Risk Factors ,Germany ,Medicine and Health Sciences ,Prevalence ,030212 general & internal medicine ,Longitudinal Studies ,Geriatric Ophthalmology ,epidemiology [Vision Disorders] ,Visual Impairments ,Aged, 80 and over ,Multidisciplinary ,Incidence (epidemiology) ,Incidence ,physiology [Visual Acuity] ,Retinal Degeneration ,etiology [Blindness] ,Middle Aged ,Cardiovascular Diseases ,epidemiology [Vision, Low] ,Retinal Disorders ,Medicine ,Female ,medicine.symptom ,Visually Impaired Persons ,Cohort study ,Research Article ,medicine.medical_specialty ,Endocrine Disorders ,Science ,Visual impairment ,Vision Disorders ,Cardiology ,Vision, Low ,epidemiology [Germany] ,Context (language use) ,03 medical and health sciences ,medicine ,Diabetes Mellitus ,etiology [Vision, Low] ,Humans ,ddc:610 ,Risk factor ,Aged ,Proportional hazards model ,business.industry ,Glaucoma ,Cardiovascular Disease Risk ,medicine.disease ,etiology [Vision Disorders] ,Ophthalmology ,Geriatrics ,Medical Risk Factors ,Metabolic Disorders ,Macular Disorders ,030221 ophthalmology & optometry ,business ,epidemiology [Blindness] ,Demography - Abstract
Objective This study aims to estimate the incidence of severe binocular vision impairment and blindness (SVI/B) and to identify eye diseases and regional risk factors of persons with SVI/B at ages 50 years and older. Methods We designed an observational cohort study based on longitudinal, multifactorial, and administrative information of a random sample of 250,000 persons at ages 50+. All individuals were included in the process-produced health claims register of the Allgemeine Ortskrankenkasse in 2004, and were followed until 2015. We analyzed ten selected eye diseases and regional characteristics as risk factors for SVI/B using Cox models, adjusting for demographic characteristics and multi-morbidity. Results The age-standardized incidence was 79 new diagnoses of SVI/B per 100,000 person-years (95%-CI: 76-82); 77 for males (72-82) and 81 for females (77-85). By adjusting for multiple factors, the model revealed and confirmed that individuals who were very old (Hazard ratio90+: 6.67; 3.59-12.71), male (1.18; 1.01-1.38), had multi-morbidities (three+ diseases: 3.36; 2.51-4.49), or had diabetes (1.26; 1.07-1.49) had an increased risk of SVI/B. Compared to persons without the particular eye disease (all p Conclusion The study revealed and confirmed some profound risk factors of SVI/B at both the individual and the macro level. The sizes of the effects of the characteristics of the living context were smaller than those of the individual characteristics, especially for some severe eye diseases. While urbanity and access to health services had no effect, regional economic wealth was a risk factor for SVI/B. Future health care measures and advice by physicians should take these dimensions of inequalities in SVI/B into account.
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- 2021
192. Left-Truncated Health Insurance Claims Data: Theoretical Review and Empirical Application
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Rafael Weißbach, Achim Dörre, Dominik Wied, Gabriele Doblhammer, and Anne Fink
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Statistics and Probability ,Methodology (stat.ME) ,FOS: Computer and information sciences ,Economics and Econometrics ,Applied Mathematics ,Modeling and Simulation ,62N99 ,ddc:510 ,Statistics - Methodology ,Social Sciences (miscellaneous) ,Analysis - Abstract
At the beginning of 2004, we draw a sample of size 0.25 million people from the inventory of the health insurer AOK. We followed their health claims until 2013. Our aim is the effect a stroke on the dementia onset probability, for Germans born in the first half of the 20$^{th}$ century. People deceased before 2004 are randomly left-truncated. Filtrations, modelling the missing data, enable to circumvent the unknown number of truncated persons by using a conditional instead of the full likelihood. Dementia onset after 2013 is a conditionally fixed right-censoring event. For each observed health history, Jacod's formula yields the conditional likelihood contribution. Asymptotic normality of the estimated intensities is derived, relative to a sample size definition that includes the truncated people. Yet, the standard error is observable. The claims data reveal that after a stroke, with time measured in years, the intensity of dementia onset increases from 0.02 to 0.07. Using the independence of the two estimated intensities, a 95\%-confidence interval for their difference is [0.050,0.056]. The effect halves, when we extend the analysis to an age-inhomogeneous model, but does not change further when we additionally adjust for multi-morbidity., Comment: 56 pages, 8 figures
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- 2021
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193. Long-term exposure to fine particulate matter, lung function and cognitive performance: A prospective Dutch cohort study on the underlying routes
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Aretz, B., Janssen, F., Vonk, J.M., Heneka, M.T., Boezen, H.M., Doblhammer, G., Aretz, B., Janssen, F., Vonk, J.M., Heneka, M.T., Boezen, H.M., and Doblhammer, G.
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- 2021
194. Projections of Trends in Overweight in the Elderly Population in Germany until 2030 and International Comparison
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Westphal, Christina, Doblhammer, Gabriele, Westphal, Christina, and Doblhammer, Gabriele
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Background/Aims: To project the numbers of pre-obese (BMI 25-29.99 kg/m²) and obese (BMI > 30 kg/m²) men and women aged 50+ in Germany until 2030 and to compare our estimates with actual figures from four European countries and the USA. Estimates are based on six scenarios encompassing improvements as well as worsenings of current trends. Methods: We used pooled data from 1999 to 2009 of the German Microcensus (n = 1,472,547). Using multinomial logistic regression models we estimated age-specific probabilities of pre-obesity and obesity and applied them to the 12th population projection of the Federal Statistical Office. Results: We project overall increases in absolute numbers of pre-obesity ranging between 14.2 and 18.2 million. However, the prevalence of pre-obesity is likely to decrease slightly. In contrast, absolute and relative numbers of obesity are projected to increase, ranging between 7.2 and 15.8 million. The international comparison revealed that pre-obesity prevalences will remain among the highest in Germany, while obesity is projected to fall below current levels of the UK or the USA. Conclusion: Pre-obesity and, particularly, obesity are likely to become a more prominent health issue in Germany in the near future which could have large repercussions for the public health system.
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- 2021
195. Approaches and Methods for Causal Analysis of Panel Data in the Area of Morbidity and Mortality
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Hoffmann, Rasmus, Doblhammer, Gabriele, Hoffmann, Rasmus, and Doblhammer, Gabriele
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We aim to give an overview of the state of the art of causal analysis of demographic issues related to morbidity and mortality. We will systematically introduce strategies to identify causal mechanisms, which are inherently linked to panel data from observational surveys and population registers. We will focus on health and mortality, and on the issues of unobserved heterogeneity and reverse causation between health and (1) retirement, (2) socio-economic status, and (3) characteristics of partnership and fertility history. The boundaries between demographic research on mortality and morbidity and the neighbouring disciplines epidemiology, public health and economy are often blurred. We will highlight the specific contribution of demography by reviewing methods used in the demographic literature. We classify these methods according to important criteria, such as a design-based versus model-based approach and control for unobserved confounders. We present examples from the literature for each of the methods and discuss the assumptions and the advantages and disadvantages of the methods for the identification of causal effects in demographic morbidity and mortality research. The differentiation between methods that control for unobserved confounders and those that do not reveal a fundamental difference between (1) methods that try to emulate a randomised experiment and have higher internal validity and (2) methods that attempt to achieve conditional independence by including all relevant factors in the model. The latter usually have higher external validity and require more assumptions and prior knowledge of relevant factors and their relationships. It is impossible to provide a general definition of the sort of validity that is more important, as there is always a trade-off between generalising the results to the population of interest and avoiding biases in the estimation of causal effects in the sample. We hope that our review will aid researchers in identifying str
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- 2021
196. Changing educational gradient in long-term care-free life expectancy among German men, 1997-2012
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Grigoriev, Olga, Doblhammer, Gabriele, Grigoriev, Olga, and Doblhammer, Gabriele
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Background: The inverse association between mortality and individual socioeconomic status is well-documented. Due to the lack of appropriate data, little is known about the nature of this association among individuals with long-term care (LTC) needs. Objectives: We aim to fill in this knowledge gap by estimating life expectancy (LE), life expectancy without (CFLE) and with (CLE) long-term care by education for older German men; and by assessing the trends in the education-LE/CFLE/CLE gradient over time. Data and methods: We apply survival analysis and Gompertz regression to German Socioeconomic Panel data (1997-2012) to estimate the mortality levels and to construct the life tables for three educational categories. Using the administrative data from the health insurance, we adjust mortality rates upward to account for the institutionalized population. We estimate age-specific LTC prevalence from the German Microcensus data (2004, 2012) and compute life expectancy with and without LTC by employing Sullivan’s method. Slope and Relative Indices of Inequality are computed to evaluate the magnitude of educational inequalities in CFLE. Results: There is a clear and growing educational gradient in LE and CFLE among older men in Germany. In 2004, LE at age 65 among men with low education was 14.2 years, or 3.3 years lower than among highly educated individuals. The CFLE of these two educational categories ranged from 13.6 to almost 17 years. The gradient increased over time and in 2012 the difference constituted 4.6 years. The gaps between educational groups were not pronounced for CLE. The declining health ratio of years without LTC to remaining LE suggests the expansion of LTC needs, irrespective of the educational level. Conclusions: Growing inequalities by educational status among older German men with care needs demand the attention of policy-makers. Prompt actions are needed to increase the survival chances of the most vulnerable groups.
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- 2021
197. Gewonnene Lebensjahre: Langfristige Trends der Sterblichkeit nach Todesursachen in Deutschland und im internationalen Vergleich
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Doblhammer, G., Kreft, D., and Dethloff, A.
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- 2012
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198. „Kompression” oder „Expansion” der Morbidität? Trends in der Lebenserwartung älterer Menschen in guter Gesundheit 1978 bis 1998
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Doblhammer, Gabriele and Kytir, Josef
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- 1997
199. Social disparities in the first wave of COVID-19 infections in Germany: A county-scale explainable machine learning approach
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Constantin Reinke, Gabriele Doblhammer, and Daniel Kreft
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education.field_of_study ,Poverty ,business.industry ,Incidence (epidemiology) ,Population ,Ecological study ,Machine learning ,computer.software_genre ,Geography ,Scale (social sciences) ,Pandemic ,Health care ,Artificial intelligence ,education ,business ,Socioeconomic status ,computer - Abstract
BackgroundLittle is known about factors correlated with this geographic spread of the first wave of COVID-19 infections in Germany. Given the lack of individual-level socioeconomic information on COVID-19 cases, we resorted to an ecological study design, exploring regional correlates of COVID-19 diagnoses.Data and MethodWe used data from the Robert-Koch-Institute on COVID-19 diagnoses by sex, age (age groups: 0-4, 5-14, 15-34, 35-59, 60-79, 80+), county (NUTS3 region) differentiating five periods (initial phase: through 15 March; 1st lockdown period: 16 March to 31 March; 2nd lockdown period: from 1 April to 15 April; easing period: 16 April to 30 April; post-lockdown period: 1 May through 23 July). For each period we calculated age-standardized incidence of COVID-19 diagnoses on the county level, using the German age distribution from the year 2018. We characterized the regions by macro variables in nine domains: “Demography”, “Employment”, “Politics, religion, and education”, “Income”, “Settlement structure and environment”, “Health care”, “(structural) Poverty”, “Interrelationship with other regions”, and “Geography”. We trained gradient boosting models to predict the age-standardized incidence rates with the macro structures of the counties, and used SHAP values to characterize the 20 most prominent features in terms of negative/positive correlations with the outcome variable.ResultsThe change in the age-standardized incidence rates over time is reflected in the changing importance of features as indicated by the mean SHAP values for the five periods. The first COVID-19 wave started as a disease in wealthy rural counties in southern Germany, and ventured into poorer urban and agricultural counties during the course of the first wave. The negative social gradient became more pronounced from the 2ndlockdown period onwards, when wealthy counties appeared to be better protected. Population density per se does not appear to be a risk factor, and only in the post-lockdown period did connectedness become an important regional characteristic correlated with higher infections. Features related to economic and educational characteristics of the young population in a county played an important role at the beginning of the pandemic up to the 2ndlockdown phase, as did features related to the population living in nursing homes; those related to international migration and a large proportion of foreigners living in a county became important in the post-lockdown period.DiscussionIn the absence of individual level data, explainable machine learning methods based on regional data may help to better understand the changing nature of the drivers of the pandemic. High mobility of high SES groups may drive the pandemic at the beginning of waves, while mitigation measures and beliefs about the seriousness of the pandemic as well as the compliance with mitigation measures put lower SES groups at higher risks later on.
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- 2020
200. The Effect of Gender on COVID-19 Infections and Mortality in Germany: Insights from Age- and Sex-Specific Modelling of Contact Rates, Infections, and Deaths
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Achim Doerre and Gabriele Doblhammer
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Coronavirus disease 2019 (COVID-19) ,business.industry ,Risk of infection ,Mortality rate ,Social behaviour ,Age and sex ,law.invention ,Transmission (mechanics) ,Age groups ,law ,Pandemic ,Medicine ,business ,Demography - Abstract
BackgroundRecent research points towards age- and sex-specific transmission of COVID-19 infections and their outcomes. The effect of sex, however, has been overlooked in past modelling approaches of COVID-19 infections.AimThe aim of our study is to develop an age- and sex-specific model of COVID-19 transmission and to explore how contact changes effect COVID-19 infection and death rates.MethodWe consider a compartment model to establish forecasts of the COVID-19 epidemic, in which the compartments are subdivided into different age groups and genders. Estimated contact patterns, based on other studies, are incorporated to account for age- and sex-specific social behaviour. The model is fitted to real data and used for assessing hypothetical scenarios with regard to lockdown measures.ResultsUnder current mitigation measures as of mid-August, active COVID-19 cases will double by the end of October 2020. Infection rates will be highest among the young and working ages, but will also rise among the old. Sex ratios reveal higher infection risks among women than men at working ages; the opposite holds true at old age. Death rates in all age groups are twice as high among men as women. Small changes in contact rates at working and young ages may have a considerable effect on infections and mortality at old age, with elderly men being always at higher risk of infection and mortality.DiscussionOur results underline the high importance of the non-pharmaceutical mitigation measures in low-infection phases of the pandemic to prevent that an increase in contact rates leads to higher mortality among the elderly. Gender differences in contact rates, in addition to biological mechanisms related to the immune system, may contribute to sex-specific infection rates and their mortality outcome. To further explore possible pathways, more data on COVID-19 transmission is needed which includes socio-demographic information.
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- 2020
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