The University of Southampton
University of Southampton Institutional Repository

Conditional wealth to estimate association of wealth mobility with health and human capital in low- and middle-income country cohorts

Conditional wealth to estimate association of wealth mobility with health and human capital in low- and middle-income country cohorts
Conditional wealth to estimate association of wealth mobility with health and human capital in low- and middle-income country cohorts

Temporally harmonized asset indices allow the study of changes in relative wealth (mean, variance, social mobility) over time and its association with adult health and human capital in cohort studies. Conditional measures are the unexplained residuals of an indicator regressed on its past values. Using such measures, previously used to study the relative importance of key life stages for anthropometric growth, we can identify specific life stages during which changes in relative wealth are important for adult health in longitudinal studies. We discuss the assumptions, strengths and limitations of this methodology as applied to relative wealth. We provide an illustrative example using a publicly-available longitudinal dataset and show how relative wealth changes at different life stages are differentially associated with body mass index in adulthood.

Asset index, Conditional wealth, Life course epidemiology, Social mobility, Socioeconomic position
1471-2288
Varghese, Jithin Sam
8f7f8577-a98e-4d66-a41b-59b1bc5153ed
Osmond, Clive
2677bf85-494f-4a78-adf8-580e1b8acb81
Stein, Aryeh D
5ee08d0c-2313-4d74-bfcf-49e9bfabc36d
Varghese, Jithin Sam
8f7f8577-a98e-4d66-a41b-59b1bc5153ed
Osmond, Clive
2677bf85-494f-4a78-adf8-580e1b8acb81
Stein, Aryeh D
5ee08d0c-2313-4d74-bfcf-49e9bfabc36d

Varghese, Jithin Sam, Osmond, Clive and Stein, Aryeh D (2022) Conditional wealth to estimate association of wealth mobility with health and human capital in low- and middle-income country cohorts. BMC Medical Research Methodology, 22 (1), [279]. (doi:10.1186/s12874-022-01757-9).

Record type: Article

Abstract

Temporally harmonized asset indices allow the study of changes in relative wealth (mean, variance, social mobility) over time and its association with adult health and human capital in cohort studies. Conditional measures are the unexplained residuals of an indicator regressed on its past values. Using such measures, previously used to study the relative importance of key life stages for anthropometric growth, we can identify specific life stages during which changes in relative wealth are important for adult health in longitudinal studies. We discuss the assumptions, strengths and limitations of this methodology as applied to relative wealth. We provide an illustrative example using a publicly-available longitudinal dataset and show how relative wealth changes at different life stages are differentially associated with body mass index in adulthood.

Text
s12874-022-01757-9
Available under License Creative Commons Attribution.
Download (1MB)

More information

Accepted/In Press date: 14 October 2022
Published date: 27 October 2022
Additional Information: © 2022. The Author(s).
Keywords: Asset index, Conditional wealth, Life course epidemiology, Social mobility, Socioeconomic position

Identifiers

Local EPrints ID: 472025
URI: http://eprints.soton.ac.uk/id/eprint/472025
ISSN: 1471-2288
PURE UUID: fd6aa2c3-4422-4211-a03b-9d58c6a431dc
ORCID for Clive Osmond: ORCID iD orcid.org/0000-0002-9054-4655

Catalogue record

Date deposited: 23 Nov 2022 18:01
Last modified: 17 Mar 2024 02:42

Export record

Altmetrics

Contributors

Author: Jithin Sam Varghese
Author: Clive Osmond ORCID iD
Author: Aryeh D Stein

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×