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Typologies of Residential Mobility in Childhood and Associations with Sociodemographic Characteristics: a Prospective Birth Cohort Study in Aotearoa New Zealand

Author

Listed:
  • Bingyu Deng

    (University of Canterbury
    University of Canterbury)

  • Geraldine McLeod

    (University of Otago)

  • Joreintje Dingena Mackenbach

    (Amsterdam UMC Location Vrije Universiteit
    Amsterdam Public Health
    Upstream Team, www.upstreamteam.nl)

  • Bhubaneswor Dhakal

    (University of Otago
    University of Canterbury)

  • Phoebe Eggleton

    (University of Canterbury
    University of Canterbury)

  • Lukáš Marek

    (University of Canterbury)

  • Malcolm Campbell

    (University of Canterbury
    University of Canterbury)

  • Joseph Boden

    (University of Otago)

  • Matthew Hobbs

    (University of Canterbury
    University of Canterbury)

Abstract

Despite documented associations between childhood area-level socioeconomic status (SES), residential mobility and health, studies in this domain rarely use lifecourse study designs. This study examined temporal patterns of four residential mobility typologies based on area-level SES exposure from birth to 16 years. We devised four main residential mobility typologies: advantaged stayers (remaining in high SES areas), disadvantaged stayers (remaining in low SES areas), advantaged or upward movers (moving between high SES areas or transitioning from low to high SES areas), and disadvantaged or downward movers (moving between low SES areas or transitioning from high to low SES areas). Secondly, the research examined selected sociodemographic characteristics associated with the residential mobility typologies and whether these associations varied by age. Data from the Christchurch Health and Development (CHDS) prospective birth cohort study were used to obtain individual (i.e., gender, ethnic) and family sociodemographic (i.e., family SES) characteristics, and home addresses from birth to 16 years. Geocoded home addresses were linked to area-level SES. Two-level multinomial logistic regression models examined associations between sociodemographic characteristics and residential mobility typologies and their variations by age. Disadvantaged stayers constituted over one-fifth of the cohort during most of childhood. Children with Māori ethnicity, younger mothers, family instability, and childhood adversity are more vulnerable to frequent moves coupled with exposure to low area-level SES. Our study paves the way for the exploration of childhood environmental exposures and later-life health within a spatial lifecourse epidemiology framework.

Suggested Citation

  • Bingyu Deng & Geraldine McLeod & Joreintje Dingena Mackenbach & Bhubaneswor Dhakal & Phoebe Eggleton & Lukáš Marek & Malcolm Campbell & Joseph Boden & Matthew Hobbs, 2024. "Typologies of Residential Mobility in Childhood and Associations with Sociodemographic Characteristics: a Prospective Birth Cohort Study in Aotearoa New Zealand," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 17(6), pages 2691-2707, December.
  • Handle: RePEc:spr:chinre:v:17:y:2024:i:6:d:10.1007_s12187-024-10175-w
    DOI: 10.1007/s12187-024-10175-w
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    References listed on IDEAS

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    1. Maria Holst Algren & Carsten Kronborg Bak & Gabriele Berg-Beckhoff & Pernille Tanggaard Andersen, 2015. "Health-Risk Behaviour in Deprived Neighbourhoods Compared with Non-Deprived Neighbourhoods: A Systematic Literature Review of Quantitative Observational Studies," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-17, October.
    2. Boden, Joseph M. & Lee, Jungeun Olivia & Horwood, L. John & Grest, Carolina Villamil & McLeod, Geraldine F.H., 2017. "Modelling possible causality in the associations between unemployment, cannabis use, and alcohol misuse," Social Science & Medicine, Elsevier, vol. 175(C), pages 127-134.
    3. Mark A. Green & Matthew Hobbs & Ding Ding & Michael Widener & John Murray & Lindsey Reece & Alex Singleton, 2021. "The Association between Fast Food Outlets and Overweight in Adolescents Is Confounded by Neighbourhood Deprivation: A Longitudinal Analysis of the Millennium Cohort Study," IJERPH, MDPI, vol. 18(24), pages 1-15, December.
    4. Norman, Paul & Boyle, Paul & Rees, Philip, 2005. "Selective migration, health and deprivation: a longitudinal analysis," Social Science & Medicine, Elsevier, vol. 60(12), pages 2755-2771, June.
    5. Gambaro, Ludovica & Joshi, Heather E. & Lupton, Ruth, 2017. "Moving to a better place? Residential mobility among families with young children in the Millennium Cohort Study," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23, pages 1-14.
    6. Jamie R. Pearce, 2018. "Complexity and Uncertainty in Geography of Health Research: Incorporating Life-Course Perspectives," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 108(6), pages 1491-1498, November.
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