Summary: | NSDD is a database with harmonised data from two population based projects ”Västerbotten Intervention Project” och ”MONICA in northern Sweden”. Information is collected by a validated, semi-quantitative, food frequency questionnaire (FFQ). Data collection is done by identical instrument and in the same manner in the two projects. The FFQ has three main sections: portion size indication for staple foods, intake frequencies, and dietary supplements. Some information on dietary and meal regimens is available. In addition to information on intake frequencies of single food items or food groups, estimated energy and nutrient intake and a selection of dietary indexes are available. Enheten för biobanksforskning (EBF) handhar databasen, medan Västerbottens läns landsting ansvarar för insamling och förvaring av biobanksmaterial. The Västerbotten Intervention Project (VIP) och MONICA are population based projects studying life habits in the population and to reduce the incidence of cardio metabolic diseases. Detailed information on the two projects can be found at their respective website. These are reached via http://www.biobank.umu.se/ The dataset includes data regarding intakes of food items, nutrients, calculated diet indexes and intake of food supplements. Data are collected through self-reported questionnaire. The dataset growths by approximately 5000 observations per year and the proportion with repeated observations increases. Clinical samples (plasma, serum and DNA) are not included in NSDD but handled separately, in a biobank (see http://www.biobank.umu.se/). By January 2016, the combined VIP-MONICA diet dataset includes 121,996 unique subjects (equal proportion men and women) with at least one visit and a diet recording. Of these 8.2% are excluded because of incomplete food intake data, extreme (highest and lowest 1%) food Intake levels (FIL), extreme energy intakes (lowest 1% and >5,000 kcal). Nearly 40% have a second 10-year follow up and 7% a third 10-year follow-up. Intakes are reported on a fixed ...
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