cohorts, the EpiHealth (EpiHealth study; n=20 817 men and women) and the SMCC (Swedish Mammography Cohort Clinical [n=4650 women]). A set of 184 protein cardiovascular disease biomarkers were measured with 2 high-throughput, multiplex immunoassays.

Methods The present study utilized data from the Swedish EpiHealth cohort study. A total of 15845 participants (45–75 years) filled out an internet-based questionnaire.

Study population The present study used data from the Swedish EpiHealth cohort study (started in 2011), www.epihealth.se (Lind et al., 2013). The primary objective of EpiHealth is to study how interactions Sleep and OSAS in relation with diet – results from the EpiHealth study Jenny Theorell-Hagloew , Christian Berne , Sölve Elmståhl , Lars Lind , Eva Lindberg ERJ Open Research Apr 2019, 5 (suppl 3) P127; DOI: 10.1183/23120541.sleepandbreathing-2019.P127 The EpiHealth study EpiHealth is a population-based multicenter longitudinal cohort study, which has been conducted in the Uppsala and Malm€o regions of Sweden. The primary goal of the EpiHealth cohort is to provide a resource to study interactions between several genotypes and lifestyle factors in a large cohort The primary objective of the EpiHealth cohort study is to provide a resource to study interactions between several genotypes and lifestyle factors in a large cohort (the aim is 300,000 individuals) derived from the Swedish population in the age range of 45-75 years regarding development of common degenerative disorders, such as cardiovascular diseases, cancer, dementia, joint pain, obstructive Association between shift work history and performance on the trail making test in middle-aged and elderly humans: The EpiHealth study. Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift Methods: The present study utilized data from the Swedish EpiHealth cohort study. A total of 15 845 participants (45-75 years) filled out an internet-based questionnaire.

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By using data from 7143 middle-aged and elderly humans (45-75 years) who participated in the Swedish EpiHealth cohort study, the present analysis sought to investigate whether self-reported shift work history would be associated with performance on the trail making test (TMT). The present study utilized data from the Swedish EpiHealth cohort study (www.epihealth.se). 23 The EpiHealth study started in 2011 and the primary objective was to study how interactions between lifestyle factors and genotypes contribute to the development of common disorders in humans, such as cardiovascular and respiratory diseases. EpiHealth cohort study is a national resource investigating the interaction between genes and life-style factors regarding the development of common diseases seen in the elderly. At present (2017) it includes 25,000 Swedish men and women between the ages of 45 and 75 years, new subjects are recruited continously.

The EpiHealth study is approved by the Swedish Data Protection Authority. There was no need for written consent or consent for publication. Competing interests We have assembled and are leading a ground-breaking collaborative nested case-cohort study, the Markers of Imminent Myocardial Infarction (MIMI) study, of 2500 initially cardiovascular disease-free persons in eight general population cohorts from all parts of Europe, among which 500 develop a myocardial infarction within the first six months after the baseline examination.

A new study from Uppsala University shows that compared to non-shift workers, shift workers needed more time to complete a test that is frequently used by physicians to screen for cognitive impairment. However, those who had quit shift work more than five years ago completed the test just as quick as the non-shift workers. The findings are published in the journal Neurobiology of Aging.

Sitavig's safety and efficacy  were assessed in a sample of 18,880 subjects aged 45–75 years from the population-based EpiHealth study. Participants were categorized into six groups   Feb 2, 2021 The EpiHealth venture, run by Uppsala University and Lund University, will study the interaction between lifestyle factors and genes with major  Work Efficiently · Automated case summaries · Automated registry preparation · Research. May 11, 2018 Associations between sleep variables and metabolic syndrome (MetS) in the Swedish EpiHealth cohort study. A secondary analysis was  Original Article: Data Analysis·6 April 2021.

Northern Sweden Health and Disease Study ( www.umu.se/enheten-for-biobanksforskning/); EpiHealth (www.epihealth.lu.se); LifeGene (www.lifegene.se/) 

We have assembled and are leading a ground-breaking collaborative nested case-cohort study, the Markers of Imminent Myocardial Infarction (MIMI) study, of 2500 initially cardiovascular disease-free persons in eight general population cohorts from all parts of Europe, among which 500 develop a myocardial infarction within the first six months after the baseline examination.

European Journal of Epidemiology. 2013, 28(2). 189-197. Study design EpiHealth is a population-based, multicenter longitudinal cohort study in subjects aged 45–75 years in which expo-sures (lifestyle factors and genes) are collected at a baseline investigation aiming for 300,000 individuals. The study consists of three parts: 1. A collection of data on lifestyle factors by self- The primary objective of the EpiHealth cohort study is to provide a resource to study interactions between several genotypes and lifestyle factors in a large cohort (the aim is 300,000 individuals) derived from the Swedish population in the age range of 45-75 years regarding development of common degenerative disorders, such as cardiovascular diseases, cancer, dementia, joint pain, obstructive Initiator of the Epihealth project Metahealth, a research infrastructure for individual participant data meta-analysis of cohort studies, aimed at studying risk factors for uncommon diseases. Sidansvarig: miriam.sjodahl_jakobsen@med.lu.se | 2021-03-30.
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Briefly, the EpiHealth study started in 2011 with the primary objective to study how interactions between lifestyle factors and genotypes contribute to the development of common disorders, such as cardiovascular and respiratory diseases. 2020-01-15 · The current study was approved by the Ethical Review Board in Uppsala (Dnr 2017/487, decision date December 13, 2017) and data extraction was approved by the EpiHealth steering committee. RESULTS Table 1 shows a description of the population. EpiHealth - Purpose and overview .

23 The EpiHealth study started in 2011 and the primary objective was to study how interactions between lifestyle factors and genotypes contribute to the development of common disorders in humans, such as cardiovascular and respiratory diseases. EpiHealth cohort study is a national resource investigating the interaction between genes and life-style factors regarding the development of common diseases seen in the elderly.
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EpiHealth - Purpose and overview . EpiHealth (Epidemiology for Health ) cohort study is a collaboration between the Uppsala and Lund Universities aiming at building a large, nationwide resource for the study of the interplay between environmental factors and genes regarding the major common disorders seen in the elderly.

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Study abroad opportunities Become an international mentor EpiHealth: Epidemiology for Health's profile in Lund University Research portal Description. The EpiHealth study started in 2011, with the primary objective being to study how interactions between lifestyle factors and genotypes contribute to the development of common disorders in humans (such as cardiovascular and respiratory diseases). Methods: In 2467 individuals of the population-based, cross-sectional EpiHealth study (45-75 years, 50% women), 249 plasma proteins were analysed by the proximity extension assay technique. DNA was genotyped using the Illumina HumanCoreExome-12 v1.0 BeadChip. Study Objectives: Obesity is often associated with impaired sleep, whereas the impact of body mass index (BMI) at younger age and previous weight gain on sleep problems remains unknown.

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