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MRC National Survey of Health and Development (NSHD, 1946 British Birth Cohort)

Population Size

5,362

People

Population Size statistic card

Years

1946

Years statistic card

Associated BioSamples

DNA

Immortalized cell lines

...see more

Associated BioSamples statistic card

Geographic coverage

United Kingdom

England

...see more

Geographic coverage statistic card

Lead time

1-2 weeks

Lead time statistic card

Summary

The NSHD is the oldest of the British Birth Cohort studies investigating life course determinants of healthy ageing. Data collected over 70 years include questionnaire, physical and cognitive function, clinical phenotyping and biosamples.

Documentation

The Medical Research Council (MRC) National Survey of Health and Development (NSHD) is the oldest and longest running of the British birth cohort studies.

From an initial maternity survey of 13,687 of all births recorded in England, Scotland and Wales during one week of March, 1946, a socially stratified sample of 5,362 singleton babies born to married parents was selected for follow-up. This sample comprises the NSHD cohort. The study members have been followed up in the course of 27 data collections. Regular interviews with the mothers were conducted by health visitors, with additional assessments by school doctors and teachers. In adult life, research nurses conducted home visits at ages 26,36,43,53 and 69, a detailed clinic visit took place between ages 60-64, as well as clinical sub studies focusing on the heart (Myofit46) and brain (Insight46). At the latest home visit at age 69, the participation rate was 80% (N=2149). In addition to regular postal questionnaires throughout life, there have been annual questionnaires to women (47-54 years) to capture the menopause transition and 3 waves of a COVID-19 questionnaires. Multiple datasets cover over 20,000 variables, including biological samples which have been used to generate a variety of omics data. Data have A range of imaging and wearable data have been collected in clinical and remote environments. The MRC National Survey for Health and Development (NSHD) has governance and access arrangements that comply with MRC data sharing policy. The survey data are accessible to bona fide researchers by applying through the NSHD data sharing platform, Skylark (https://skylark.ucl.ac.uk/) . This data can be made available to researchers, for more information please email MRCLHA.swiftinfo@ucl.ac.uk.

Dataset type

Health and disease

Dataset sub-type

Not applicable

Dataset population size

5362

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Persons

Birth cohort

5362

Count

01 Mar 2023

Provenance

Purpose of dataset collection

Study

Collection source setting

Clinic, Home

Patient pathway description

The NSHD is a birth cohort study - all born in March 1946.

Image contrast

Not stated

Biological sample availability

DNA,Immortalized cell lines,Serum,Plasma

Details

Publishing frequency

Irregular

Version

1.0.0

Modified

08/10/2024

Citation Requirements

MRC National Survey of Health and Development (NSHD, 1946 birth cohort)

Coverage

Start date

01/03/1946

Time lag

More than 6 months

Geographic coverage

United Kingdom, England, Scotland, Wales

Minimum age range

77

Maximum age range

77

Follow-up

10 Years

Accessibility

Language

en

Controlled vocabulary

ICD10, LOCAL

Format

any flat file format can be provided (csv, Stata, SPSS, R)

Data Access Request

Dataset pipeline status

Not available

Time to dataset access

1-2 weeks

Access request cost

N/A

Access method category

TRE/SDE

Access service description

Researchers are required to use UCL's Trusted Research Environment (Data Safe Haven, DSH) to access data.
A Data Sharing Agreement with the host Institution is also needed.

Jurisdiction

GB-GBN

Data use limitation

Research use only

Data use requirements

Not for profit use,Return to database or resource

Data Controller

University College London

Data Processor

University College London

Dataset Types: Health and disease


Collection Sources: Clinic, Home

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