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Predicting Daily Sheltering Arrangements among Youth Experiencing Homelessness Using Diary Measurements Collected by Ecological Momentary Assessment

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Listed:
  • Robert Suchting

    (Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77030, USA)

  • Michael S. Businelle

    (The University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
    Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City, OK 73104, USA)

  • Stephen W. Hwang

    (MAP Centre for Urban Health Solutions, St. Michael’s Hospital, Toronto, ON M5B 1W8, Canada)

  • Nikhil S. Padhye

    (Cizik School of Nursing, University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77030, USA)

  • Yijiong Yang

    (Cizik School of Nursing, University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77030, USA)

  • Diane M. Santa Maria

    (Cizik School of Nursing, University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77030, USA)

Abstract

Youths experiencing homelessness (YEH) often cycle between various sheltering locations including spending nights on the streets, in shelters and with others. Few studies have explored the patterns of daily sheltering over time. A total of 66 participants completed 724 ecological momentary assessments that assessed daily sleeping arrangements. Analyses applied a hypothesis-generating machine learning algorithm (component-wise gradient boosting) to build interpretable models that would select only the best predictors of daily sheltering from a large set of 92 variables while accounting for the correlated nature of the data. Sheltering was examined as a three-category outcome comparing nights spent literally homeless, unstably housed or at a shelter. The final model retained 15 predictors. These predictors included (among others) specific stressors (e.g., not having a place to stay, parenting and hunger), discrimination (by a friend or nonspecified other; due to race or homelessness), being arrested and synthetic cannabinoids use (a.k.a., “kush”). The final model demonstrated success in classifying the categorical outcome. These results have implications for developing just-in-time adaptive interventions for improving the lives of YEH.

Suggested Citation

  • Robert Suchting & Michael S. Businelle & Stephen W. Hwang & Nikhil S. Padhye & Yijiong Yang & Diane M. Santa Maria, 2020. "Predicting Daily Sheltering Arrangements among Youth Experiencing Homelessness Using Diary Measurements Collected by Ecological Momentary Assessment," IJERPH, MDPI, vol. 17(18), pages 1-17, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6873-:d:416398
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    References listed on IDEAS

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    1. Salina Mostajabian & Diane Santa Maria & Constance Wiemann & Elizabeth Newlin & Claire Bocchini, 2019. "Identifying Sexual and Labor Exploitation among Sheltered Youth Experiencing Homelessness: A Comparison of Screening Methods," IJERPH, MDPI, vol. 16(3), pages 1-16, January.
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