ArticleInternational journal of environmental research and public health2020
Predicting Daily Sheltering Arrangements among Youth Experiencing Homelessness Using Diary Measurements Collected by Ecological Momentary Assessment.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Couch-Surfing and HIV Risk Behavior Among Young Adults Experiencing Homelessness.AIDS and behavior · 2026Article
- Real-time antecedents of cannabis use among young adults: An Ecological Momentary Assessment study.Experimental and clinical psychopharmacology · 2025Article
- Article
- Couch-Surfing and Mental Health Outcomes among Sexual Minority Adolescents.Journal of social distress and the homeless · 2024Article
- Predictors of Housing Trajectories Among Young Adults Experiencing Homelessness in Los Angeles.The journal of behavioral health services & research · 2024Article
- Understanding Why Many People Experiencing Homelessness Reported Migrating to a Small Canadian City: Machine Learning Approach With Augmented Data.JMIR formative research · 2023Article
- Unsheltered homeless and unstably housed adults have higher levels of stress and more health risk factors than sheltered homeless adults.Journal of social distress and the homeless · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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.
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Registered trials
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