Diabetes Prediction in Scania - DiPiS

SND-ID: ext0081-1.

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

Access to data via

Contact

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 Scania (DiPiS) aims to determine why children develop type 1 diabetes. By being able to predict which children are at risk of developing diabetes, the hope is to prevent the onset of the disease in the future. DiPiS was conducted in two stages:

Stage 1: Examination of the hereditary risk for type 1 diabetes in all newborns in Scania. This stage took place from September 2000 to September 2004. During this stage, almost 36,000 children were examined.

Stage 2: Follow-up of a group of children with hereditary risk. Approximately 5,000 children were followed. Participants in the follow-up study provided blood samples once a year and also completed a questionnaire. Children with multiple antibodies are at an increased risk of developing type 1 diabetes and were therefore monitored more frequently. The children were followed until the age of 15.

Objective:
To determine factors that can predict autoimmune (type 1) diabetes in children.

Language

Method and outcome

Unit of analysis

Population

Newborns in Scania 2000-2004

Time Method

Study design

Cohort study

Sampling procedure

The study was implemented in two stages. In the first stage, around 45,000 newborns in Scania were targeted for HLA risk testing, with cord blood samples successfully collected from over 36,000, representing 80% participant rate. Stage II represents a longitudinal follow up of children with increased genetic risk for T1D. Almost 20% of the screened children were invited to participate in follow-up.

Time period(s) investigated

2000-09 – 2019-08

Data format / data structure

Data collection

Data collection 1

  • Mode of collection: Physical measurements and tests
  • Time period(s) for data collection: 2000-09 – 2004-09
  • Sample size: 45000
  • Non response size: 9000
  • Source of the data: Population group, Biological samples

Data collection 2

  • Mode of collection: Physical measurements and tests
  • Time period(s) for data collection: 2002 – 2019-08
  • Sample size: 7000
  • Non response size: 2000
  • Source of the data: Population group, Biological samples
Geographic coverage

Geographic spread

Geographic location: Skåne County

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)

Publications