Background: Homelessness is a growing concern in the United States, especially among people who use drugs (PWUD). The degree of material hardship among this population may be linked to worse health outcomes. PWUD experiencing homelessness in urban areas are increasingly subjected to policies and social treatment, such as forced displacement, which may worsen material hardship. It is critical to describe hardship among PWUD and examine if it is linked to health outcomes.
Methods: Data were collected as part of a prospective cohort study of PWUD in Los Angeles, California and Denver, Colorado (n = 476). Analysis sample size was smaller (N = 395) after selecting for people experiencing homelessness and for whom data were complete. Five indicators assessing hardship (difficulty finding food, clothing, restrooms, places to wash/shower, and shelter) in the past three months were obtained from participants at baseline and were used in latent class analysis (LCA). We chose a base latent class model after examination of global fit statistics. We then built three auxiliary models using the three-step Bolck-Croon-Hagenaars (BCH) method to test the relationship of latent class membership to several hypothesized social and health variables in this same three month time period.
Results: Fit statistics, minimum classification probabilities, and ease of interpretation indicated a three-class solution for level of material difficulty. We termed these classes "High Difficulty" (n = 82), "Mixed Difficulty" (n = 215), and "Low Difficulty" (n = 98). Average classification probabilities indicated good class separability. "High Difficulty" participants had high probabilities of usually having difficulty accessing all five resources. "Mixed Difficulty" participants indicated a range of difficulty accessing all resources, with restrooms and bathing facilities being the most difficult. "Low Difficulty" participants were defined by high probabilities of never having access difficulty. In auxiliary analyses, there were significant (p < 0.05) differences in experiences of displacement, opioid withdrawal symptoms, nonfatal overdose, and violent victimization between classes.
Conclusions: This LCA indicates that among PWUD experiencing homelessness there exist distinct differences in resource access and material hardship, and that these differences are linked with political, social, substance use, and other health outcomes. We add to the literature on the relationship between poverty and health among PWUD. Policies which increase difficulty accessing necessary material resources may negatively impact health in this population.
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http://dx.doi.org/10.1186/s12889-025-21626-6 | DOI Listing |
Environ Res
March 2025
Department of Global Public Health & Bioethics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3508 GA, Utrecht, Netherlands.
Background: To investigate the relationship between changes in residential neighbourhood walkability and cardiovascular disease (CVD) incidence in adults.
Methods: Using data from Statistics Netherlands we included all Dutch residents aged 40 or older at baseline (2009), without a history of CVD, and who did not move house after baseline (n = 3,019,069). A nationwide, objectively measured walkability index was calculated for Euclidean buffers of 500m around residential addresses for the years 1996, 2000, 2003, 2006 and 2008.
J Psychosom Res
March 2025
Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Objective: A life-disrupting stressor (e.g. pandemic) may cause or exacerbate poor sleep health; resilience may offset impacts.
View Article and Find Full Text PDFMed Image Anal
March 2025
Department of Mechanical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region of China; Department of Data and Systems Engineering, The University of Hong Kong, Hong Kong Special Administrative Region of China. Electronic address:
Federated learning (FL) has shown great potential in medical image computing since it provides a decentralized learning paradigm that allows multiple clients to train a model collaboratively without privacy leakage. However, current studies have shown that data heterogeneity incurs local learning bias in classifiers and feature extractors of client models during local training, leading to the performance degradation of a federation system. To address these issues, we propose a novel framework called Federated Bias eliMinating (FedBM) to get rid of local learning bias in heterogeneous federated learning (FL), which mainly consists of two modules, i.
View Article and Find Full Text PDFEur J Pediatr
March 2025
Neonatal Intensive Care Unit, Clínica Universidad de Navarra, Madrid, Spain.
Purpose: This study aims to analyze global prescribing patterns for analgosedation in neonates during four critical care scenarios. The research explores existing patterns, their association with geographic and sociodemographic index (SDI), and adherence to evidence-based practices.
Methods: Data from a 2024 global survey of 924 responses to 28 questions were analyzed, focusing on four items for their high variability: premedication in intubation (Q17), sedation in preterm (Q19) and full-term newborns (Q23), and perinatal asphyxia (Q26).
Eur J Nutr
March 2025
Department of Nutrition and Food Safety, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Background: Few studies have examined the association between lactating behaviors and postpartum weight retention (PPWR) during the 'Zuòyuèzi' period, a traditional Chinese postpartum confinement practice that typically occurs within the first month after delivery. This study aimed to examine the association between breastfeeding practices (exclusive vs. mixed feeding) and PPWR during the Zuòyuèzi period; and to explore the feasibility of the new latent category variable derived from latent class analysis (LCA) reflecting lactating experience and quality.
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