Stockholm Diabetesprevention Program (SDPP)
SND-ID: ext0259-1.
Is part of collection at SND: Swedish Cohort Consortium (Cohorts.se)
Creator/Principal investigator(s)
Anton Lager - Stockholm County Council, Centre for Epidemiology and Community Medicine
Research principal
Stockholm County Council - Centre for Epidemiology and Community Medicine
Description
Stockholm Diabetes Prevention Programme is a population based survey in which 3128 men and 4821 women (between the ages 35-56) from five municipalities of Stockholm County Council were screened between the years 1992-1998. A follow up study was conducted about 10 years later where 76,2 percentage of the men and 69,1 percentage of women responded. 2014 about 20 years after the baseline a new follow up study started and all participants from the baseline were invited.
For the participants a screening occasion includes an oral glucose tolerance test and an extensive questionnaire. The study is focusing on diabetes heredity and therefore includes all individuals with at least one first, or two second grade relatives with diabetes. Those without any diabetes in the family are also over-sampled.
Data contains personal data
Yes
Type of personal data
Health data
Language
Unit of analysis
Population
All men and women who in 1992-1996 were aged 35-56 and lived in Sigtuna, Värmdö, Upplands Bro, Tyresö and Upplands Väsby.
Time Method
Study design
Cohort study
Sampling procedure
Probability
Non-probability
Time period(s) investigated
1992 – 2017
Biobank is connected to the study
Yes
Data format / data structure
Geographic spread
Geographic location: Sweden, Stockholm County
Geographic description: Värmdö, Upplands Väsby, Sigtuna, Tyresö, Upplands-Bro
Responsible department/unit
Centre for Epidemiology and Community Medicine
Ethics Review
Stockholm
Research area
Medical and 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)
Specific diseases, disorders and medical conditions (CESSDA Topic Classification)