Curated datasets of ELSA HRS and CHARLS used in the PhD project: The role of depressive symptoms and cardiometabolic risk factors in the prediction of dementia: a cross-country comparison in England, the United States and China

Panagiota Kontari; Kimberley Jane Smith; Christopher Richard Fife-Schaw

doi:10.15126/surreydata.901028

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Curated datasets of ELSA HRS and CHARLS used in the PhD project: The role of depressive symptoms and cardiometabolic risk factors in the prediction of dementia: a cross-country comparison in England, the United States and China

Panagiota Kontari, Kimberley Jane Smith and Christopher Richard Fife-Schaw

University of Surrey

17/12/2023

DOI:

https://doi.org/10.15126/surreydata.901028

Abstract

dementia risk

secondary data

longitudinal data

ageing research

epidemiolgogy

ELSA

HRS

CHARLS

health data

population-based data

This repository includes three curated datasets used in my PhD research on “The role of depressive symptoms and cardiometabolic risk factors in the prediction of dementia: a cross-country comparison in England, the United States and China”. The datasets are in SAV (SPSS) format and contain curated and harmonised data from three publicly available population-based databases: the English Longitudinal Study of Ageing (ELSA), Health and Retirement Study (HRS), China Health and Retirement Longitudinal Study (CHARLS). Permission for access may be granted on request to panagiota.kontari@gmail.com or p.kontari@surrey.ac.uk or kimberley.j.smith@surrey.ac.uk.

Files and links (4)

sav

charls_data_w1_4_2020060191.44 MB

DatasetCHARLS curated dataset Restricted, access maybe granted on request

sav

elsa_data_w2_9_20190201129.07 MB

DatasetELSA curated dataset Restricted, access maybe granted on request

txt

elsa_hrs_charls_curated_datasets_README3.92 kB

READMEReadme for data curation of ELSA HRS and CHARLS datasets Restricted, access maybe granted on request

sav

hrs_data_w8_14_20191101147.43 MB

DatasetHRS curated dataset Restricted, access maybe granted on request

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Title: Curated datasets of ELSA HRS and CHARLS used in the PhD project: The role of depressive symptoms and cardiometabolic risk factors in the prediction of dementia: a cross-country comparison in England, the United States and China
Creators: Panagiota Kontari (Researcher) - University of Surrey, School of Psychology
Kimberley Jane Smith (Supervisor) - University of Surrey, School of Psychology
Christopher Richard Fife-Schaw (Supervisor) - University of Surrey, School of Psychology
Publisher: University of Surrey
Date published: 17/12/2023
Grants: English Longitudinal Study of Ageing: Renewal 2020, 5R01AG017644-22, National Institutes of Health (United States, Bethesda) - NIH
Health and Retirement Study, NIA U01AG009740, National Institute on Aging (United States, Baltimore) - NIA
Harmonised China Health and Retirement Longitudinal Study , R01 AG030153, National Institute on Aging (United States, Baltimore) - NIA
Harmonised China Health and Retirement Longitudinal Study, RC2 AG036619, National Institute on Aging (United States, Baltimore) - NIA
Harmonised China Health and Retirement Longitudinal Study, R03 AG043052, National Institute on Aging (United States, Baltimore) - NIA
Identifiers: 99841266102346
Academic Unit: School of Psychology
Resource Type: Dataset

Curated datasets of ELSA HRS and CHARLS used in the PhD project: The role of depressive symptoms and cardiometabolic risk factors in the prediction of dementia: a cross-country comparison in England, the United States and China

Abstract

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