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Diabetes Prediction in Skåne - DiPiS: Follow up study

SND-ID: ext0081-2.

Is part of collection at SND: Scania Metadatabase for Epidemiology (SME)

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Creator/Principal investigator(s)

Åke Lernmark - Lunds universitet, Institutionen för kliniska vetenskaper, avdelningen för diabetes och endokrinologi

Helena Larsson - Lund University, Institutionen för pediatrik och kliniska vetenskaper

Research principal

Lund University rorId

Description

Diabetes Prediction in Skåne, DiPiS aims to investigate why children develop diabetes type 1. 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. This step continued from September 2000 to September 2004. In this step almost 36,000 children.
Step 2.. Follow up in a group of children with hereditary risk. Participants in the follow up study lefts a blood sample and answer a questionnaire one time per year.The plan is to follow these children up to 15 years of age.

Purpose:

To determine factors that can predict autoimmune (type 1) diabetes in children.
Method and outcome

Unit of analysis

Time period(s) investigated

2002 – 2019-08

Number of individuals/objects

5000

Data format / data structure

Data collection
  • Mode of collection: Physical measurements and tests
  • Time period(s) for data collection: 2002 – 2019-08
  • Source of the data: Population group, Biological samples
Geographic coverage

Geographic spread

Geographic description: Scania

Administrative information
Topic and keywords

Research area

Medical and health sciences (Standard för svensk indelning av forskningsämnen 2011)

Clinical medicine (Standard för svensk indelning av forskningsämnen 2011)

Endocrinology and diabetes (Standard för svensk indelning av forskningsämnen 2011)

Health (CESSDA Topic Classification)

Keywords

Children, Insulin, Diabetes mellitus, type 1, Ambient exposure, Scania, Epihealth, Gad65, Ia-2, Znt8, Viral infections, Epihealth_skåne

Publications

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