{"doi":"10.1093/ije/dyac114","title":"Cohort Profile: The LIFE-Adult-Study","abstract":"The LIFE-Adult-Study is a population-based cohort study investigating the prevalence and incidence of common diseases and subclinical disease phenotypes, the complex interactions between genetic and lifestyle factors regarding the co-occurrence and development of subclinical phenotypes and diseases, and the role of biomarkers to predict disease initiation and progression. The study comprises an age-stratified and sex-stratified random sample of 10 000 adult individuals (aged 18–79 years) from Leipzig, Germany. The baseline assessment was conducted from August 2011 to November 2014 and the first follow-up was conducted from October 2017 to August 2021. A total of 5512 individuals completed postal follow-up questionnaires and 1799 individuals participated in a physical examination follow-up programme. The study focuses on cardiovascular and metabolic disorders, cognition and brain function, depression, sleep disorders and electroencephalography-vigilance regulation, eye diseases, voice and allergies. The assessment programme comprises physical and medical examinations, personal interviews, self-administered questionnaires, psychometric tests, and clinical chemistry from blood and urine samples (including biobank asservation). Data usage requests can be submitted to: Dr Christoph Engel, Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Haertelstrasse 16–18, 04107 Leipzig, Germany, e-mail: [email protected]. Population-based cohort studies are an essential foundation for investigating associations of genetic and non-genetic risk factors with the occurrence of diseases. Several such studies have been initiated in Germany over the past decades focusing on specific phenotypes and diseases.1–5 In 2009, the Leipzig Research Centre for Civilization Diseases (LIFE) was established to set up population-based and patient-based cohorts with comprehensive molecular characterization and deep disease phenotyping programmes for a broad spectrum of common diseases. LIFE focuses on the characterization of subclinical disease phenotypes and the identification of determinants predicting their progression to clinically manifest disease. It is part of the Medical Faculty of Leipzig University, enabling the participation of clinicians, epidemiologists and methodologists researchers experienced in molecular and genetic profiling, biostatistics and bioinformatics. LIFE is funded by the European Union, the European Regional Development Fund and funds of the Free State of Saxony, Germany. One of the main cohort studies of LIFE is the ‘LIFE-Adult-Study’—a population-based study of 10 000 randomly selected adult citizens of Leipzig, a city with currently ∼600 000 inhabitants. The LIFE-Adult-Study pursues three major goals: (i) to assess the prevalence and incidence of common diseases and subclinical disease phenotypes, (ii) to investigate the complex interactions between genetic and lifestyle factors regarding co-occurrence and development of subclinical phenotypes and diseases and (iii) to investigate longitudinally the role of biomarkers to predict risks for disease initiation and progression. The study focuses on primarily age-related clinical phenotypes: cardiovascular disorders, metabolic disorders, cognition and brain function, depression, sleep disorders and electroencephalography-vigilance regulation, eye diseases with a focus on retinal degeneration, voice and allergies. Other major LIFE cohort studies are the ‘LIFE-Child-Study’ and the ‘LIFE-Heart-Study’.6,7 An up-to-date list of all publications of LIFE is available at https://www.uniklinikum-leipzig.de/einrichtungen/life/life-forschungszentrum/publikationen. Details on the design of the LIFE-Adult-Study are described elsewhere.8 Briefly, the study comprises an age-stratified and sex-stratified random sample of 10 000 residents of the city of Leipzig, who were mostly of central European descent. Participants are 18–79 years of age, with a focus on individuals age","journal":"International Journal of Epidemiology","year":2022,"id":234774,"datarank":0.8672696375473969,"base_score":4.5217885770490405,"endowment":4.5217885770490405,"self_citation_contribution":0.6782682865573562,"citation_network_contribution":0.18900135099004073,"self_endowment_contribution":0.6782682865573562,"citer_contribution":0.18900135099004073,"corpus_percentile":76.8082308346871,"corpus_rank":2999,"citation_count":91,"citer_count":16,"citers_with_citation_signal":6,"citers_with_endowment":6,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.9225,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":672229,"name":"Kerstin Wirkner","orcid":"0009-0000-1301-7125","position":1,"is_corresponding":false},{"id":852100,"name":"Samira Zeynalova","orcid":null,"position":2,"is_corresponding":false},{"id":852101,"name":"Ronny Baber","orcid":null,"position":3,"is_corresponding":false},{"id":13265,"name":"Hans Binder","orcid":"0000-0002-2242-4678","position":4,"is_corresponding":false},{"id":247819,"name":"Uta Ceglarek","orcid":"0000-0002-4034-5535","position":5,"is_corresponding":false},{"id":442277,"name":"Cornelia Enzenbach","orcid":"0000-0002-4545-3287","position":6,"is_corresponding":false},{"id":851218,"name":"Michael Fuchs","orcid":"0000-0002-9491-7295","position":7,"is_corresponding":false},{"id":851219,"name":"Andreas Hagendorff","orcid":"0000-0001-6288-7565","position":8,"is_corresponding":false},{"id":852102,"name":"Sylvia Henger","orcid":null,"position":9,"is_corresponding":false},{"id":851220,"name":"Andreas Hinz","orcid":"0000-0002-6986-8145","position":10,"is_corresponding":false},{"id":259254,"name":"Franziska G. 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