Diabetes Prediction in Skåne- DiPiS

This study is part of the collection Scania Metadatabase for Epidemiology (SME)

Creator/Principal investigator(s):

Åke Lernmark - Lunds universitet

Helena Larsson - Lund University

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.

Subject area:

HEALTH (CESSDA Topic Classification)
Medical and Health Sciences, Clinical Medicine, Endocrinology and Diabetes (The Swedish standard of fields of research 2011)

Keywords:

children, Insulin, Diabetes Mellitus, Type 1, ambient exposure, Scania, EpiHealth, GAD65, IA-2, ZnT8, viral infections, EpiHealth_Skåne

Principal organisation:

Lund University

Accessibility status:

Access to data through an external actor
Access to data is restricted

Homepage:

The study homepage

Responsible department/unit:

Lund University

Creator/Principal investigator(s):

Åke Lernmark - Lunds universitet

Helena Larsson - Lund University

Identifiers:

SND-ID: EXT 0081

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.

Time period(s) investigated:

2000-09 — ongoing

Geographic spread:

Geographic description: Scania

Unit of analysis:

Subject area:

HEALTH (CESSDA Topic Classification)
Medical and Health Sciences, Clinical Medicine, Endocrinology and Diabetes (The Swedish standard of fields of research 2011)

Keywords:

children, Insulin, Diabetes Mellitus, Type 1, ambient exposure, Scania, EpiHealth, GAD65, IA-2, ZnT8, viral infections, EpiHealth_Skåne

Contact for questions about the data:

Åke Lernmark

Is part of collection at SND:

Scania Metadatabase for Epidemiology (SME)

Download metadata:

Dataset 1

DiPiS: selection study

Creator/Principal investigator(s):

Åke Lernmark - Lunds universitet

Helena Larsson - Lund University

Data format / data structure:

Numeric

Data collection:

Mode of collection: Physical measurements and tests

Time period(s) for data collection: 2000-09 — 2004-09

Source of the data: Population group, Biological samples

Time period(s) investigated:

2000-09 — 2004-09

Number of individuals/objects:

36000

Dataset 2

DiPiS: Follow up study

Creator/Principal investigator(s):

Åke Lernmark - Lunds universitet

Helena Larsson - Lund University

Data format / data structure:

Numeric

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

Time period(s) investigated:

2002 — 2019-08

Number of individuals/objects:

5000

Published: 2013-09-12
Last updated: 2017-01-03