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Homelessness Is Socially Created: Cluster Analysis of Social Determinants of Homelessness (SODH) in North West England in 2020

Author

Listed:
  • Mzwandile Mabhala

    (University of Chester)

  • Winifred Adaobi Esealuka

    (University of Chester)

  • Amanda Nkolika Nwufo

    (University of Chester)

  • Chinwe Enyinna

    (University of Chester)

  • Chelsea Nonkosi Mabhala

    (UEA - University of East Anglia [Norwich])

  • Treasure Udechukwu

    (EHESP - École des Hautes Études en Santé Publique [EHESP])

  • John Reid

    (University of Chester)

  • Asmait Yohannes

Abstract

Poverty creates social conditions that increase the likelihood of homelessness. These include exposure to traumatic life experiences; social disadvantages such as poor educational experiences; being raised in a broken family, care homes or foster care; physical, emotional, and sexual abuse; and neglect at an early age. These conditions reduce people's ability to negotiate through life challenges. This cross-sectional study documents the clustering and frequency of adverse social conditions among 152 homeless people from four cities in North West England between January and August 2020. Two-step cluster analysis showed that having parents with a criminal record, care history, and child neglect/abuse history was predictive of homelessness. The cluster of indicator variables among homeless people included sexual abuse (χ2 (N = 152) = 220.684, p

Suggested Citation

  • Mzwandile Mabhala & Winifred Adaobi Esealuka & Amanda Nkolika Nwufo & Chinwe Enyinna & Chelsea Nonkosi Mabhala & Treasure Udechukwu & John Reid & Asmait Yohannes, 2021. "Homelessness Is Socially Created: Cluster Analysis of Social Determinants of Homelessness (SODH) in North West England in 2020," Post-Print hal-03707628, HAL.
    • Handle: RePEc:hal:journl:hal-03707628
    DOI: 10.3390/ijerph18063066
    Note: View the original document on HAL open archive server: https://ehesp.hal.science/hal-03707628
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    Keywords

    Homelessness; Inequalities; Poverty; Two-step cluster analysis;
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