The present study utilised data from the Swedish EpiHealth cohort study (www.epihealth.se) [16]. 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).

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.

A total of 15845 participants (45–75 years) filled out an internet-based questionnaire. The EpiHealth study includes three parts: a web-based baseline questionnaire completed by the participants, physical tests and biological sampling performed at a test center, and possibilities to follow-up later on concerning future diseases and medications, through official Swedish registers . Data collection in the EpiHealth study and usage of the material in this project has been approved by the EC of Uppsala (Dnr 2010/402: 2010-12-01, 2011-11-17, 2015/179). The EpiHealth study is approved by the Swedish Data Protection Authority.

EpiHealth är godkänd av Etikprövningsnämnden i Uppsala och Datainspektionen. 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.

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 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.

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 …

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DiPiS are carried out in two steps: Step 1.
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The study consists of three parts: 1.

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.
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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

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.

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Low neuroticism and cognitive performance are differently associated to overweight and obesity: A cross-sectional and longitudinal UK Biobank study. Part of Psychoneuroendocrinology, p. 167-174, 2019. DOI Uploaded full-text To DiVA

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