Achim Reineke

ORCID: 0000-0002-0092-4110
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Research Areas
  • Health, Environment, Cognitive Aging
  • Health and Medical Studies
  • Data-Driven Disease Surveillance
  • Biomedical Text Mining and Ontologies
  • Information and Cyber Security
  • Nutritional Studies and Diet
  • Pharmaceutical Practices and Patient Outcomes
  • Blood Pressure and Hypertension Studies
  • Child and Adolescent Health
  • Chronic Disease Management Strategies
  • Genetic Associations and Epidemiology
  • Genetic Mapping and Diversity in Plants and Animals
  • Medication Adherence and Compliance
  • Evacuation and Crowd Dynamics
  • Data Quality and Management
  • Urban Transport and Accessibility
  • Gene expression and cancer classification
  • Urban Green Space and Health
  • Obesity, Physical Activity, Diet
  • Survey Methodology and Nonresponse

Leibniz Institute for Prevention Research and Epidemiology - BIPS
2006-2023

University of Bremen
2006

Annette Peters Annette Peters Karin Halina Greiser Susanne Göttlicher Wolfgang Ahrens and 95 more Maren Albrecht Fabian Bamberg Till Bärnighausen Heiko Becher Klaus Berger Achim Beule Heiner Boeing Barbara Bohn Kerstin Bohnert Bettina Braun Hermann Brenner Robin Bülow Stefanie Castell Antje Damms-Machado Marcus Dörr Nina Ebert Margit Ecker Carina Emmel Beate Fischer Claus-Werner Franzke Sylvia Gastell Guido Giani Matthias Günther Kathrin Günther Klaus‐Peter Günther Johannes Haerting Ulrike Haug Iris M. Heid Margit Heier Diana Heinemeyer Thomas Hendel Florian Herbolsheimer Jochen Hirsch Wolfgang Hoffmann Bernd Holleczek Heike Hölling Andreas Hörlein Karl‐Heinz Jöckel Rudolf Kaaks André Karch Stefan Karrasch Nadja Kartschmit Hans‐Ulrich Kauczor Thomas Keil Yvonne Kemmling Bianca Klee Birgit Klüppelholz Alexander Kluttig Lisa Kofink Anna Köttgen Daniel Kraft Gérard Krause Lisa Kretz Lilian Krist Jan Kühnisch Oliver Kuß Nicole Legath Anna-Therese Lehnich Michael F. Leitzmann Wolfgang Lieb Jakob Linseisen Markus Loeffler Anke Macdonald Klaus Maier‐Hein Nina Mangold Claudia Meinke‐Franze Christa Meisinger Juliane Melzer Björn Mergarten Karin B. Michels Rafael Mikolajczyk Susanne Moebus Ulrich Müeller Matthias Nauck Thoralf Niendorf Konstantin Nikolaou Nadia Obi Stefan Ostrzinski Leo Panreck Iris Pigeot Tobias Pischon Irene Pschibul-Thamm Wolfgang Rathmann Achim Reineke Stefanie Roloff Dan Rujescu Stefan Rupf Oliver Sander Tamara Schikowski Sabine Schipf Peter Schirmacher Christopher L. Schlett Börge Schmidt Georg Schmidt Martin Schmidt

The German National Cohort (NAKO) is a multidisciplinary, population-based prospective cohort study that aims to investigate the causes of widespread diseases, identify risk factors and improve early detection prevention disease. Specifically, NAKO designed novel better characterize established protection for development cardiovascular cancer, diabetes, neurodegenerative psychiatric musculoskeletal respiratory infectious diseases in random sample general population. Between 2014 2019, total...

10.1007/s10654-022-00890-5 article EN cc-by European Journal of Epidemiology 2022-10-01

Abstract Background No standards exist for the handling and reporting of data quality in health research. This work introduces a framework observational research collections with supporting software implementations to facilitate harmonized assessments. Methods Developments were guided by evaluation an existing literature reviews. Functions computation indicators written R. The concept are illustrated based on from population-based Study Health Pomerania (SHIP). Results comprises 34...

10.1186/s12874-021-01252-7 article EN cc-by BMC Medical Research Methodology 2021-04-02

Abstract Purpose A less favourable galenic profile of generic formulations the beta‐blocker metoprolol raised concern a higher risk for serious cardiovascular (CV) events. We assessed hospital admission rates CV diseases and prescription prevalences various drugs using claims data statutory health insurances (SHIs) to compare incidence events among users original metoprolol. Index included hospitalization due myocardial infarction, hypertensive crisis stroke. Methods Data files three SHIs...

10.1002/pds.1494 article EN Pharmacoepidemiology and Drug Safety 2007-10-23

Conducting large-scale epidemiologic studies requires powerful software for electronic data capture, management, quality assessments, and participant management. There is also an increasing need to make the collected findable, accessible, interoperable, reusable (FAIR). However, tools from major studies, underlying such needs, are not necessarily known other researchers. Therefore, this work gives overview on main used conduct internationally highly networked population-based project Study...

10.3233/shti230292 article EN cc-by-nc Studies in health technology and informatics 2023-05-18

10.1111/j.1541-0420.2006.00589_10.x article EN Biometrics 2006-06-01

Abstract Background No standards exist for the handling and reporting of data quality in health research. This work introduces a framework observational research collections with supporting software implementations to facilitate harmonized assessments. Methods Developments were guided by evaluation an existing literature reviews. Functions computation indicators written R. The concept are illustrated based on from population-based Study Health Pomerania (SHIP). Results comprises 34...

10.21203/rs.3.rs-119457/v1 preprint EN cc-by Research Square (Research Square) 2020-12-10
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