Saved in:
Bibliographic Details
Main Authors: Zehrung, Rachael, Hu, Di, Guo, Yawen, Zheng, Kai, Chen, Yunan
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.06011
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866916449329610752
author Zehrung, Rachael
Hu, Di
Guo, Yawen
Zheng, Kai
Chen, Yunan
author_facet Zehrung, Rachael
Hu, Di
Guo, Yawen
Zheng, Kai
Chen, Yunan
contents Housing instability is a widespread phenomenon in the United States. In combination with other social determinants of health, housing instability affects children's overall health and development. Drawing on data from the 2022 National Survey of Children's Health, we employed multiple logistic regression models to understand how sociodemographic factors, especially housing instability, affect mental health outcomes and treatment access for youth aged 6-17 years. Our results show that youth facing housing instability have a higher likelihood of experiencing anxiety (OR: 1.42, p<0.001) and depression (OR: 1.57, p<0.001). Furthermore, youth experiencing both mental health conditions and housing instability are significantly less likely to receive mental health services in the past year, indicating the substantial barriers they face in accessing mental health care. Based on our findings, we highlight opportunities for digital mental health interventions to provide children experiencing housing instability with more accessible and consistent mental health services.
format Preprint
id arxiv_https___arxiv_org_abs_2409_06011
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Investigating the effects of housing instability on depression, anxiety, and mental health treatment in childhood and adolescence
Zehrung, Rachael
Hu, Di
Guo, Yawen
Zheng, Kai
Chen, Yunan
Human-Computer Interaction
Housing instability is a widespread phenomenon in the United States. In combination with other social determinants of health, housing instability affects children's overall health and development. Drawing on data from the 2022 National Survey of Children's Health, we employed multiple logistic regression models to understand how sociodemographic factors, especially housing instability, affect mental health outcomes and treatment access for youth aged 6-17 years. Our results show that youth facing housing instability have a higher likelihood of experiencing anxiety (OR: 1.42, p<0.001) and depression (OR: 1.57, p<0.001). Furthermore, youth experiencing both mental health conditions and housing instability are significantly less likely to receive mental health services in the past year, indicating the substantial barriers they face in accessing mental health care. Based on our findings, we highlight opportunities for digital mental health interventions to provide children experiencing housing instability with more accessible and consistent mental health services.
title Investigating the effects of housing instability on depression, anxiety, and mental health treatment in childhood and adolescence
topic Human-Computer Interaction
url https://arxiv.org/abs/2409.06011