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Epihealth cohort study - - Lunds universitet

A set of 184 protein cardiovascular disease biomarkers were measured with 2 high-throughput, multiplex immunoassays. The study was approved by The Swedish Data Inspection Board (No. 307-2011). Purpose: The primary objectives of the EpiHealth study is to provide a resource to study interactions between genotypes and lifestyle factors in a large cohort (aim is 300,000 individuals) derived from the Swedish population in the age range 45-75 years regarding development of common degenerative disorders. 2016-09-01 · 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 between genotypes and lifestyle factors contribute to the development of common disorders in humans, such as cardiovascular diseases, cancer, and dementia. In the EpiHealth, 57 protein biomarkers were associated with 3 of the dietary patterns, and 41 of these associations were replicated in the Swedish Mammography Cohort Clinical, with effect estimates ranging from 0.057 to 0.083 (P‐value range, 5.0×10 −2 –1.4×10 −9) for each SD increase in the relative protein concentration.

Epihealth study

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Purpose: The primary objectives of the EpiHealth study is to provide a resource to study interactions between genotypes and lifestyle factors in a large cohort (aim is 300,000 individuals) derived from the Swedish population in the age range 45-75 years regarding development of common degenerative disorders. 2016-09-01 · 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 between genotypes and lifestyle factors contribute to the development of common disorders in humans, such as cardiovascular diseases, cancer, and dementia. In the EpiHealth, 57 protein biomarkers were associated with 3 of the dietary patterns, and 41 of these associations were replicated in the Swedish Mammography Cohort Clinical, with effect estimates ranging from 0.057 to 0.083 (P‐value range, 5.0×10 −2 –1.4×10 −9) for each SD increase in the relative protein concentration. The present study was based on a post hoc stratification of data deriving fromthe Swedish EpiHealth cohort study. 2.

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19 Briefly, between 2011 and 2016, participants were randomly selected from the population registries of the Swedish cities, Malmö and Uppsala, and the response rate was ∼20%. Recruiting and sampling of participants have been completed in Uppsala EpiHealth (in Swedish) The study covers most parts of the country and the subproject in Malmö ran between 2014 and 2018. 5 000 Malmö residents took part in a comprehensive health investigation, including tomography of the heart. In total, the study covers 30 000 people in Sweden.

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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).

Epihealth study

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Epihealth study

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The present study utilized data from the Swedish EpiHealth cohort study. Participants (45–78 y) were asked to fill out an internet-based questionnaire. Body mass index (BMI) and central obesity (calculated from waist circumference) were based on measured data. Methods The present study utilized data from the Swedish EpiHealth cohort study.
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8-. 9 . IASP (International Association for the Study of. 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 lung disease, depression, and osteoporotic fractures.


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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]. Using summary data from large GWASs for dia-betes and related glycaemic traits and a GWAS of protein levels in the EpiHealth study, we performed a bidirectional two-sample Mendelian randomisation (MR) to test whether these proteins were causally related to diabetes, or whether By utilizing data from around 7000 individuals participating in the Swedish cohort study EpiHealth, researchers from Uppsala University and Malmö University sought to examine whether shift work Directed Study: Fall, Spring, Summer.