About
The aim of this study is to incorporate Biobank data as a major addition to the International Collaboration for a Life course Approach to reproductive health Chronic disease Events (InterLACE), a leading international research collaboration. Established in 2012, the focus of InterLACE is on understanding women?s reproductive characteristics and links with the risks of key non-communicable diseases (NCDs), such as cardiovascular disease (CVD), type 2 diabetes, and depression. InterLACE is currently using data from over 230,000 women in 20 studies from nine countries, including Sweden, the USA, Australia, and Japan. Due to the sample size and quality of data collected, the addition of Biobank data with greatly strengthen and expand the research capability of InterLACE. The proposed project is health-related and is in the public interest. Findings will enable the use of reproductive factors as part of an integrated approach to the development of timely and targeted preventive health strategies, such as medical surveillance, to reduce the risk of NCDs. This project will utilise individual-level data from both the UK Biobank and the InterLACE dataset ? see above.
Generalised Estimating Equations, multinomial logistic regression, will be used to determine the associations between reproductive factors and and the incidence of NCDs.
We would require information only from female participants
4 Returns
| Return ID | App ID | Description | Archive Date |
|---|
| 2658 | 26629 | Age at natural menopause and risk of incident cardiovascular disease: a pooled analysis of individual patient data | 29 Oct 2020 |
| 2660 | 26629 | Premenopausal cardiovascular disease and age at natural menopause: a pooled analysis of over 170,000 women | 29 Oct 2020 |
| 2661 | 26629 | Relationships between intensity, duration, cumulative dose, and timing of smoking with age at menopause: A pooled analysis of individual data from 17 observational studies | 29 Oct 2020 |
| 2659 | 26629 | Variations in reproductive events across life: a pooled analysis of data from 505,147 women across 10 countries | 29 Oct 2020 |
