Objectives: Homelessness is a public health crisis in the United States, yet homelessness prevalence, especially among children and youth, is not well understood. In this study, we use an indirect estimation method known as multiple systems estimation to further evaluate prevalence of youth experiencing homelessness in Denver, Colorado.
Methods: We performed a multiple systems estimation ("capture-recapture") analysis to estimate annual homelessness among youth aged 14 to 17 years in the city and county of Denver, Colorado from 2017 to 2021. We used 3 citywide datasets linked at the individual level and stratified by year, as follows: (1) Denver-Metro Homeless Management Information System, (2) Denver Public Schools McKinney-Vento data, and (3) Colorado's Statewide Automated Child Welfare Information System TRAILS. We identified "known" youth experiencing homelessness from the 3 datasets and developed log-linear models with calculated 95% CIs to estimate the unknown population. We combined these counts to estimate the total youth homeless population and stratified counts by race, ethnicity, and gender.
Results: The known count of youth experiencing homelessness increased from 840 in 2017 to 1040 in 2021. We estimated the total number of youth experiencing homelessness increased from 2880 (95% CI, 2199-3290) in 2017 to 7084 (95% CI, 2826-9046) in 2021. This corresponds with an increase from 10.4% to 25.1% in the total prevalence of youth experiencing homelessness in Denver. We found 74.9% to 83.1% of youth experiencing homelessness were Black/African American or Hispanic.
Conclusions: The scope of youth homelessness increased notably and may be far greater than previously understood. Using multiple systems estimation may improve homelessness prevalence estimates and facilitate more effective resource allocation and service delivery.
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Sci Rep
January 2025
University of Ghana, P.O. Box 134, Legon-Accra, Ghana.
Sentiment analysis has become a difficult and important task in the current world. Because of several features of data, including abbreviations, length of tweet, and spelling error, there should be some other non-conventional methods to achieve the accurate results and overcome the current issue. In other words, because of those issues, conventional approaches cannot perform well and accomplish results with high efficiency.
View Article and Find Full Text PDFChild Abuse Negl
January 2025
Yale School of Nursing, 400 W. Campus Drive, Orange, CT 06577, USA. Electronic address:
Background: Adverse childhood experiences (ACEs) may increase the risk for adolescent sleep disturbances, though the impact of race, ethnicity, and socioeconomic status (SES) remains unclear.
Objective: We sought to determine the direct and moderating impact of race, ethnicity, family SES, and community SES on sleep disturbances across early adolescence for ACE-exposed youth.
Participants And Setting: This secondary analysis used longitudinal Adolescent Brain Cognitive Development Study® data (2016-2022) from youth who experienced ≥1 ACE by age 9-10 years.
J Relig Health
January 2025
Department of Adult Health Nursing, Faculty of Nursing, Jordan University of Science and Technology, Irbid, 22110, Jordan.
Spirituality is widely recognized as a potential moderator of the adverse effects of hemodialysis on mental health. Understanding its impact on mental health in Saudi Arabia and the Arab world, however, remains a significant research gap. Hence, this study aims to explore the correlations between spirituality, anxiety, and depression among Saudi Arabian patients undergoing hemodialysis.
View Article and Find Full Text PDFJ Autism Dev Disord
January 2025
Department of Public Health Sciences, Clemson University, Clemson, SC, USA.
Youth with autism spectrum disorder (ASD) are at nearly twice the risk of experiencing obesity, compared to youth without ASD. Wellness Education to Create Healthy habits and Actions to Thrive (WE CHAT) is a novel chatbot that engages participants to enhance primary care delivery and associated care coordination services through mobile health (mHealth) technology focused on social determinants of health (SDOH) and social-emotional health. This study examines multiple perspectives regarding the development and implementation of innovative mHealth technology among youth with ASD.
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