Northern Sweden Diet Database (NSDD)
SND-ID: ext0131-1.
Is part of collection at SND: Swedish Diet Cohort Consortium (SDCC)
Access to data via
Homepage
Contact
Ingegerd Johansson
Creator/Principal investigator(s)
Ingegerd Johansson - Umeå University, Institute of Odontology
Anna Winkvist - University of Gothenburg, Department of internal medicine and clinical nutrition
Research principal
Umeå University
- Department of Biobank Research
Description
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 a
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 9-level scale: never, a few times/year, 1-3 times/month, 1 time/week, 2-3 times/week, 4-6 times/week, 1 time/day, 2-3 times/day, ≥4 times/day.
Variables in the dataset: 64-84 food items, 65 nutrients including alcohol, 12 on supplements, 3 diet indexes, In addition, some hundred variables on medical status, socio-economy, tobacco use, physical activity, etc. can be linked from VIP and MONICA. Show less..
Data contains personal data
Yes
Code key exists
Yes
Unit of analysis
Population
Individuals between 30 and 60 years of age. Equal parts men and women.
Time Method
Study design
Experimental study
Sampling procedure
In MONICA a random, sex and age stratified selection is done from updated population registers.
Time period(s) investigated
1985 – Ongoing
Biobank is connected to the study
Yes
Number of individuals/objects
121996
Response rate/participation rate
60-80%
Data format / data structure
Geographic spread
Geographic location: Norrbotten County, Västerbotten County
Responsible department/unit
Department of Biobank Research
Ethics Review
Umeå
Research area
Health sciences (Standard för svensk indelning av forskningsämnen 2011)
Public health, global health, social medicine and epidemiology (Standard för svensk indelning av forskningsämnen 2011)
Health (CESSDA Topic Classification)
Keywords
Data collection, Diet surveys, Life style, Longitudinal studies, Socioeconomic factors, Risk factors, Diet, Diabetes mellitus, Physical fitness, Cardiovascular diseases, Dietary supplements, Energy intake, Food, Glycemic index, Diet and exercise, Food consumption, Nutrient intake, Food groups, Alcohol, Food frequency questionnaire, Ffq, Swedish diet cohort consortium (sdcc), Validated ffq
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