Background: Investigations of chronic physiological stress measured by hair cortisol are rapidly expanding among community samples of adolescents and adults. However, research examining physiological stress among youth experiencing homelessness is nascent despite the youth's increased risk for adverse exposures and subsequent impaired mental health.
Objective: This article aimed to examine the feasibility of collecting hair for measuring cortisol among diverse youth experiencing homelessness and gain an understanding of variation in participation.
Methods: Analysis of survey and hair participation data from three pilot studies among youth experiencing homelessness was conducted. Survey measures included sociodemographic characteristics (age, race and ethnicity, sex assigned at birth, and sexual orientation) and reasons for nonparticipation. Descriptive analysis examined participation rates in hair collection for cortisol measurement, including sociodemographic differences in participation.
Results: Participation in the hair sampling for cortisol was high for the combined sample (88.4%), with some variation across the three pilot studies. Insufficient hair for cutting was the most common reason for not participating; Black and multiracial youth, as well as male youth, had a higher prevalence of nonparticipation.
Discussion: The collection of hair for cortisol research among youth experiencing homelessness is feasible, and integration of physiological measures of stress into research with this vulnerable population should be considered, given their high risk for adversity and death by suicide and drug overdose. Methodological considerations and avenues for potential research are discussed.
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http://dx.doi.org/10.1097/NNR.0000000000000664 | DOI Listing |
J Glob Health
January 2025
China Center for Health Development Studies, Peking University, Beijing, China.
Background: While research in multiple countries confirms that primary care functional features significantly improve patient health, China's primary care system differs markedly due to unique structural and contextual factors. This study aims to measure and explore the functional features experienced by patients received family doctor contract service in the past year, evaluating the impacts and pathways of these primary care features on health outcomes.
Methods: We employed a mixed-methods explanatory sequential design.
Public Health Res (Southampt)
December 2023
School of Health and Related Research, University of Sheffield, Sheffield, UK.
Background: Housing insecurity can be understood as experiencing or being at risk of multiple house moves that are (1) not through choice and (2) related to poverty. For example, due to short-term private rental tenancies, temporary or emergency housing, and homelessness. Housing insecurity has grown due to recent trends in the cost and availability of housing.
View Article and Find Full Text PDFPsychooncology
January 2025
Department of Nursing, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China.
Objective: Influenced by their life stage and socio-cultural background, young and middle-aged cancer patients in China may experience unique psychological distress. Therefore, this study investigated the severity, problems, and associated factors of psychological distress among young and middle-aged cancer patients.
Methods: We conducted a cross-sectional study on young and middle-aged cancer patients aged 18-59 who were treated at a radiotherapy center from February 2022 to September 2023.
Int Breastfeed J
January 2025
Instutite of Health Sciences, Istanbul Medipol University, Istanbul, Turkey.
Background: The use of Complementary Medicine Products (CMPs) has been increasing worldwide, including among breastfeeding mothers. This study aims to investigate the reasons and associated factors of CMP use among breastfeeding mothers in Turkey, alongside their attitudes and experiences.
Methods: A descriptive cross-sectional study was conducted using a self-administered, anonymous online survey between 17 December 2023 and 17 March 2024.
Crit Care
January 2025
Department of Pediatric, West China Second University Hospital, Sichuan University, Chengdu, China.
Background: Patients supported by extracorporeal membrane oxygenation (ECMO) are at a high risk of brain injury, contributing to significant morbidity and mortality. This study aimed to employ machine learning (ML) techniques to predict brain injury in pediatric patients ECMO and identify key variables for future research.
Methods: Data from pediatric patients undergoing ECMO were collected from the Chinese Society of Extracorporeal Life Support (CSECLS) registry database and local hospitals.
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