Journal Article
The Semmelweis Study: a longitudinal occupational cohort study within the framework of the Semmelweis Caring University Model Program for supporting healthy aging
Zoltan Ungvari; Adam G. Tabák; Roza Adany; György Purebl; Csilla Kaposvári; Vince Fazekas-Pongor; Tamás Csípő; Zsófia Szarvas; Krisztián Horváth; Peter Mukli; Piroska Balog; Robert Bodizs; Peter Ujma; Adrienne Stauder; Daniel W. Belsky; Illés Kovács; Andriy Yabluchanskiy; Andrea B. Maier; Mariann Moizs; Piroska Östlin; Yongjie Yon; Péter Varga; Zoltán Vokó; Magor Papp; István Takács; Barna Vásárhelyi; Péter Torzsa; Péter Ferdinandy; Anna Csiszar; Zoltán Benyó; Attila J. Szabó; Gabriella Dörnyei; Mika Kivimäki; Miklos Kellermayer; Bela Merkely
GeroScience · Vol. 46, Issue 1 · pp. 191-218 · 2023
Abstract
The Semmelweis Study is a prospective occupational cohort study that seeks to enroll all employees of Semmelweis University (Budapest, Hungary) aged 25 years and older, with a population of 8866 people, 70.5% of whom are women. The study builds on the successful experiences of the Whitehall II study and aims to investigate the complex relationships between lifestyle, environmental, and occupational risk factors, and the development and progression of chronic age-associated diseases. An important goal of the Semmelweis Study is to identify groups of people who are aging unsuccessfully and therefore have an increased risk of developing age-associated diseases. To achieve this, the study takes a multidisciplinary approach, collecting economic, social, psychological, cognitive, health, and biological data. The Semmelweis Study comprises a baseline data collection with open healthcare data linkage, followed by repeated data collection waves every 5 years. Data are collected through computer-assisted self-completed questionnaires, followed by a physical health examination, physiological measurements, and the assessment of biomarkers. This article provides a comprehensive overview of the Semmelweis Study, including its origin, context, objectives, design, relevance, and expected contributions.