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Lifetime trajectories of socio-economic adversity and their associations with psychosocial factors and attitudes towards social class

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Abstract

Scientific understanding of the associations between socio-economic adversity and other domains such as health and psychosocial functioning may be improved by employing extensive, prospective life course data to model inter-individual heterogeneity in socio-economic trajectories. This study applied Latent Class Growth Analysis to derive a typology of trajectories of socio-economic adversity, and compared the psychosocial profiles of the groups based on this typology. Data were used from 2,950 men and women participating in the MRC National Survey of Health and Development in Great Britain, ascertained prospectively since birth in 1946 until age 53. Trajectories of socio-economic adversity were based on indicators of occupational class, overcrowding, housing tenure, household amenities and financial hardship at ages 4, 11, 15, 36, 43 and 53, and education at age 26. Psychosocial factors included parental interest in education, self-management, neuroticism and attitudes towards social class and social mobility. Seven distinct trajectories were identified: persistent high; persistent low; strongly declining; gradually declining; increasing; early childhood; and relapsing high adversity. Key findings include that those with increasing adversity had high parental interest in education but low self-management and high neuroticism; that those with only early childhood adversity had a less favourable psychosocial profile than those with persistent low exposure; and that groups with declining adversity had relatively favourable attitudes towards education. Findings emphasise the need to consider socio-economic and personality mechanisms in the context of one another in order to better understand later life inequality.

Original languageEnglish
Pages (from-to)81-104
Number of pages24
JournalLongitudinal and Life Course Studies
Volume11
Issue number1
Early online date1 Dec 2019
DOIs
Publication statusPublished - Jan 2020

Funding

The authors are grateful to NSHD study members for their continuing support. The MRC National Survey of Health and Development is funded by the UK Medical Research Council. TDC is supported by a Canadian Institutes of Health Research Postdoctoral Fellowship (MFE-146676).MH and AK are supported by a VIDI-fellowship from the Netherlands Organisation for Scientific Research (Grant number 452-11-017 to MH).This study has further been supported by a travel grant to AK from the EMGO+ Institute for Health and Care Research,Amsterdam,the Netherlands. Authors take responsibility for the accuracy of the analysis. Data used in this publication are available to bona fide researchers on request to the NSHD Data Sharing Committee via a standard application procedure. Further details can be found at www.nshd.mrc. ac.uk/data; doi: 10.5522/NSHD/Q101; doi: 10.5522/NSHD/Q102.

FundersFunder number
MRC National Survey of Health and Development
UK Medical Research Council
Canadian Institutes of Health ResearchMFE-146676
Canadian Institutes of Health Research
Nederlandse Organisatie voor Wetenschappelijk Onderzoek452-11-017
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities

    Keywords

    • Cumulative advantage
    • Latent class analysis
    • Personality
    • Social inequality
    • Social mobility

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