This repository contains the replication materials for the study titled "Frailty and Depressive Symptoms in Relation to Cardiovascular Disease Risk in Middle Aged and Older Adults" The study investigates the relationship between frailty, depressive symptoms, and cardiovascular disease risk in older adults, using publicly available datasets.

The materials include:
**Data**: A cleaned dataset derived from the Health and Retirement Study (HRS), China Health and Retirement Longitudinal Study (CHARLS), Survey of Health, Ageing and Retirement in Europe (SHARE), English Longitudinal Study of Ageing (ELSA), and Mexican Health and Aging Study (MHAS). The dataset is a processed subset of the original data and is intended for use in statistical analysis.
**Code**: Stata and R scripts used for data processing, analysis, and generating results presented in the paper. The scripts are fully documented to allow replication of the results.

## Data Source:
The datasets provided here were derived from the following publicly available sources:
- Health and Retirement Study (HRS): https://hrs.isr.umich.edu/
- China Health and Retirement Longitudinal Study (CHARLS): https://charls.pku.edu.cn/
- Survey of Health, Ageing and Retirement in Europe (SHARE): https://share-eric.eu/
- English Longitudinal Study of Ageing (ELSA): https://www.elsa-project.ac.uk/
- Mexican Health and Aging Study (MHAS): https://mhasweb.org/Home/index.aspx

## License:
The code is shared under the MIT License. Data reuse must comply with the terms and conditions of each original dataset provider.

## How to Use:
1. Download the code and data files.
2. Open the appropriate script in Stata or RStudio.
3. Modify the file paths if necessary, and run the scripts to reproduce the figures and tables in the study.

PGSs have been constructed for a number of behavioural, emotional and health-related phenotypes in the English Longitudinal Study of Ageing (ELSA) study (see the main ELSA study under SN 5050). ELSA is a large, multidisciplinary study of cohort of men and women living in England aged 50 or over and representative of the English population both in terms of socioeconomic profile and geographic region. The methods employed for creating PGSs are those outlined by the US Health and Retirement Study (HRS - not held at the UK Data Service). This was done in order to harmonise the research across age-related longitudinal studies by adopting a consistent methodology for creating PGSs. By making these PGSs publicly available, it is hoped that they will facilitate wide use among the ELSA data users.

Latest edition information:

For the second edition (November 2022), updated polygenic scores data and documentation were deposited.