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Constructing socioeconomic index (SEI) in predicting mental health in young adults

Published online by Cambridge University Press:  13 August 2021

C.S. Wong ,
W.C. Tang ,
W. Chang ,
C.L. Hui ,
S.K. Chan ,
E.H. Lee  and
E.Y. Chen
C.S. Wong*
Affiliation:
Department Of Psychiatry, The University of Hong Kong, HK, Hong Kong PRC
W.C. Tang
Affiliation:
Department Of Psychiatry, The University of Hong Kong, HK, Hong Kong PRC
W. Chang
Affiliation:
Department Of Psychiatry, The University of Hong Kong, HK, Hong Kong PRC
C.L. Hui
Affiliation:
Department Of Psychiatry, The University of Hong Kong, HK, Hong Kong PRC
S.K. Chan
Affiliation:
Department Of Psychiatry, The University of Hong Kong, HK, Hong Kong PRC
E.H. Lee
Affiliation:
Department Of Psychiatry, The University of Hong Kong, HK, Hong Kong PRC
E.Y. Chen
Affiliation:
Department Of Psychiatry, The University of Hong Kong, HK, Hong Kong PRC
*
*Corresponding author.

Abstract

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Introduction

Socioeconomic status (SES) are well known to be associated with mental health. Previous studies are often restricted by the use of individual SES indicators, while contextual measures aggregating multiple dimensions would present a better picture of SES in multivariate context.

Objectives

The present study aims to construct the socioeconomic index (SEI) by integrating significant socioeconomic factors in predicting mental health of young adults in Hong Kong.

Methods

Data were drawn from the Hong Kong Youth Epidemiological Study of Mental Health (HKYES), a population-based psychiatric study of young people in Hong Kong. The present study exacted data of 1,164 participants who had completed baseline interviews between April 2019 to August 2020. Socioeconomic characteristics including age, gender, education years, income, expenditure, home ownership, housing type, household crowdedness and parental occupation were collected. Data were checked for the assumptions for normality, linearity and homoscedasticity before the standardized SEI were derived using Principal Component Analysis (PCA). Logistic regression analyses were performed to further examine the association between SEI and mental health outcomes.

Results

Our results identified five significant socioeconomic factors (education years, personal income, home ownership, housing type and household crowdedness) which together explained 67.7% of the total variation. SEI was associated with depression (OR=0.671, p=.003) and anxiety (OR=0.667, p=.015) after adjusting for potential confounders.

Conclusions

The PCA-generated SEI took account of the multiple dimensions of SES in younger adults including education, income, expenditure and housing. The indices would provide meaningful contextual information of SES across geographical areas or different groups of interest.

Disclosure

No significant relationships.

Keywords

Socioeconomic indexmental healthYoung adults
Type
Abstract
Information
European Psychiatry , Volume 64 , Special Issue S1: Abstracts of the 29th European Congress of Psychiatry , April 2021 , pp. S118 - S119
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the European Psychiatric Association
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