_SE Strategisk plan för det strategiska forskningsområdet

Both weight at age 20 and weight gain have an impact on sleep disturbances later in life – results of the epihealth study Cai, Gui-Hong Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Lung- allergy- and sleep research. EpiHealth: Epidemiology for Health publishing date 2019-06-04 type Contribution to journal publication status published subject. Nutrition and Dietetics; Cardiac and Cardiovascular Systems; keywords cardiovascular disease, dietary patterns, EpiHealth study, inflammation, proteomics, Swedish Mammography Cohort Clinical in 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. 2020-01-15 · 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 .

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. 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.

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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. 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. No matter how old you are, there's always room for improvement when it comes to studying. Whether you're taking the biggest exam of your life or you know your teacher or professor is going to give a pop quiz soon, efficient studying is a gr When you're performing research as part of your job or for a school assignment, you'll probably come across case studies that help you to learn more about the topic at hand.

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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 present study utilised data from the Swedish EpiHealth cohort study (www.epihealth.se) [16].
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Learn more Överordnad infrastruktur. Lund University Population Research Platform. Lunds universitet Box 117, 221 00 LUND Telefon (växel): +46-46-222 00 00 lu@lu.se. Du måste ha Flash för att visa innehållet.

2. available, in research and clinical work, computer-aided tools are valuable and have a The EpiHealth study provides a resource to study interactions between Mar 21, 2019 Organisers: The Strategic Research Area (SRA) Epidemiology for Health ( EpiHealth) at.
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_SE Strategisk plan för det strategiska forskningsområdet

By being able to predict which children who will develop diabetes, it may be possible in the future to prevent the disease from breaking out. DiPiS are carried out in two steps: Step 1. Investigation of hereditary risk for diabetes type 1 in all new born children in Scania.

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Epihealth Uppsala - Po Sic In Amien To Web

Sölve Elmståhl, professor och koordinator för EpiHealth ligger bakom studien och han är medförfattare till artikeln ”The Health of Older Family Caregivers– 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. Description.

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Description. The on-going study Epihealth comprises about 24 000 men and women 45 to 75 yrs, randomly invited from Malmö and Uppsala and examined at one occassion. The study started 2010 and recruitment is ongoing in Malmö.

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.