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Million Women Study

Population Size

1,319,475

People

Population Size statistic card

Years

1996 - 2021

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

England

Geographic coverage statistic card

Lead time

Variable

Lead time statistic card

Summary

The Million Women Study is one of the largest population-based prospective studies of women’s health in the world. Over 1.3 million UK women were recruited into the study in 1996-2001 and have been followed for health outcomes ever since.

Documentation

The Million Women Study started recruiting participants in 1996. The initial stimulus was to obtain robust prospective information on the risk of breast cancer associated with use of different types of menopausal hormone therapy. When planning the necessary large-scale prospective study, an equally important aim was to obtain reliable information on the effects of other potentially modifiable factors that affect women’s health as they age.

The study includes 1 in 4 of all UK women born between 1935 and 1950, recruited through NHS breast screening centres in England and Scotland in 1996-2001. The 66 NHS breast screening centres that recruited participants covered about half of the UK population.

While the initial stimulus was to study the risk of breast cancer and other conditions associated with the use of menopausal hormone therapy, most of the women who joined the study had reached adulthood in the 1960s and had considerably different lifestyles to those of previous generations. For example, large proportions had begun smoking and using oral contraceptives as teenagers and young adults. The prevalence of obesity was also increasing and there were claims that other lifestyle factors also had important effects on health. To answer questions about the effects of these factors on health reliably requires large scale population-based evidence. The Million Women Study is therefore investigating the short-term and long-term effects of these and many other factors on women’s risk of developing or dying from different types of cancer, heart disease, stroke, dementia and other mental and neuro-degenerative disorders, and many other conditions in middle and in old age.

For further details on the study design, recruitment, data collection and other aspects of the Million Women Study, please visit https://www.ceu.ox.ac.uk/research/the-million-women-study

Dataset type

Health and disease

Dataset sub-type

Not applicable

Dataset population size

1319475

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Persons

Population recruited

1319475

Count

01 Jan 1996

Provenance

Purpose of dataset collection

Study

Collection source setting

Other

Patient pathway description

Population-based prospective cohort

Image contrast

Not stated

Biological sample availability

None/not available

Structural Metadata

Details

Publishing frequency

Irregular

Version

1.0.0

Modified

08/10/2024

Distribution release date

19/05/2024

Citation Requirements

University of Oxford

Coverage

Start date

01/01/1996

End date

31/12/2021

Time lag

Variable

Geographic coverage

United Kingdom, England, Scotland

Minimum age range

50

Maximum age range

90

Follow-up

10 Years

Accessibility

Language

en

Controlled vocabulary

LOCAL

Format

text, csv

Data Access Request

Dataset pipeline status

Not available

Time to dataset access

Variable

Access method category

Varies based on project

Access service description

We welcome applications for access to the study data. There may be some restrictions around access to linked health outcome data, particularly for researchers from some countries. Please visit our website for more information, the study data access policy and information on how to apply for access. https://www.ceu.ox.ac.uk/research/the-million-women-study/data-access-and-sharing

Jurisdiction

GB-ENG, GB-SCT

Data use limitation

Research use only

Data use requirements

Not for profit use,Project-specific restrictions,Return to database or resource,Time limit on use,User-specific restriction,Disclosure control

Data Controller

Chancellor, Masters and Scholars of the University of Oxford

Data Processor

Chancellor, Masters and Scholars of the University of Oxford

Dataset Types: Health and disease


Collection Sources: Other

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