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.
KI and BBMRI.se are a rich source of samples: 150 studies Population cohorts • TwinGene, LifeGene, EpiHealth • Karma, Stockhom‐2 Disease based studies
A strength of the present study is the high number of proteins evaluated within a fairly large population-based sample. Another strength is that we could perform a bidirectional two-sample MR, since both proteomics and genotyping data exist in the EpiHealth study. The major limitation is the cross-sectional nature of the study. The Epihealth Study cohort started with 20817 individuals; after exclusion of individuals with missing data on covariates, the final analysis data set consisted of 2240 individuals (1124 men, 1116 women).
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. Methods: The present study utilized data from the Swedish EpiHealth cohort study. The present study utilised data from the Swedish EpiHealth cohort study (www.epihealth.se) [16].
2019-04-11
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.
Det tredje benet i EpiHealth handlar om (c) klinisk epidemiologi ( clinical on the trail making test in middle-aged and elderly humans: the EpiHealth study.
LUBsearch Submenu for LUBsearch. Databases A-Z EpiHealth är en storskalig svensk forskningsstudie som avser att undersöka hur vanliga folksjukdomar kan uppkomma som ett samspel mellan livsstilsfaktorer och gener. EpiHealth är godkänd av Etikprövningsnämnden i Uppsala och Datainspektionen. Ny studie syftar till att beskriva fysisk, mental och funktionell hälsa i förhållande till familjevård i ålderdomen (60+) under en sexårsperiod. Sölve Elmståhl, professor och koordinator för EpiHealth ligger bakom studien och han är medförfattare till artikeln ”The Health of Older Family Caregivers– EpiHealth: a large population-based cohort study for investigation of gene-lifestyle interactions in the pathogenesis of common diseases. The most common diseases affecting middle-aged and elderly subjects in industrialized countries are multigenetic and lifestyle related.
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EpiHealth är en storskalig svensk forskningsstudie som avser att undersöka hur vanliga folksjukdomar kan uppkomma som ett samspel mellan livsstilsfaktorer och gener. EpiHealth är godkänd av Etikprövningsnämnden i Uppsala och Datainspektionen. Ny studie syftar till att beskriva fysisk, mental och funktionell hälsa i förhållande till familjevård i ålderdomen (60+) under en sexårsperiod.
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EpiHealth webinar: 4th Swedish Meeting for cohort studies in Uppsala, October 12th 2020-10-08 NEAR-based study has created and validated a first-time injurious fall (FIF) screening tool to identify older adults at risk of falling over a 5-year period.
The major limitation is the cross-sectional nature of the study. The Epihealth Study cohort started with 20817 individuals; after exclusion of individuals with missing data on covariates, the final analysis data set consisted of 2240 individuals (1124 men, 1116 women). The SMCC cohort the study sample started with 5022 women; after exclusions, the present study sample consisted of 4561 women. The present study used data from the Swedish EpiHealth cohort study (www.epihealth.se; Lind et al., 2013). 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. 2467 individuals in the general population-based EpiHealth study [13].
EpiHealth – En storsatsning för lunds och uppsala universitet av EpiHealth: a large population-based cohort study for investigation of
2018-01-19 2020-10-01 The present study used data from the Swedish EpiHealth cohort study (www.epihealth.se; Lind et al., 2013). 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. 2020-08-17 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. 2016-09-01 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.
Provides the opportunity to pursue a specialized course of study in an area of special interest. Complements rather than replaces or substitutes for course work. EPI 798R: Pre-candidacy Research : Fall, Spring, Summer. PhD students only.