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Purpose: Being outside of the labor and education system during young adulthood, a status termed not in education, employment, or training (NEET), is a risk factor for later social and health outcomes. This study examined whether parental substance use (PSU) moderates the relationship between personal alcohol consumption and NEET. Such information may inform screening practices.
Methods: Participants included 2,940 respondents (15-25-year-olds) to a 2014 Danish national survey. In this historical cohort study, survey data were linked with register data on respondents' parents and follow-up register data on respondents' educational/employment status (2015-2018). The Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) identified respondents with hazardous drinking. PSU was measured using survey and register data. Our outcome identified those who were NEET during 1 + years follow-up. Analyses included gender stratified multivariable logistic regressions.
Results: Survey-based PSU was associated with higher odds of NEET (OR = 1.67, p <.001). An AUDIT-C + by survey PSU interaction was statistically significant for females (OR = 2.70, p =.007): AUDIT-C + females with survey PSU had higher odds of NEET than AUDIT-C + females without survey PSU. Results were similar using register PSU. For both genders, other parental factors (unemployment and psychiatric problems) were also associated with higher odds of NEET.
Conclusion: Using family history (including unemployment, psychiatric problems, and substance use) may enhance screening to identify emerging adults at risk of adverse social outcomes. Survey- and register-based PSU were similarly associated with NEET, suggesting that asking emerging adults about their parents' substance use may be as informative as more objective measures of family risk.
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http://dx.doi.org/10.1007/s00127-025-02904-5 | DOI Listing |
JMIR Res Protoc
September 2025
National Institute of Public Health, University of Southern Denmark, Copenhagen K, Denmark.
Background: The high and increasing rate of poor mental health among young people is a matter of global concern. Experiencing poor mental health during this formative stage of life can adversely impact interpersonal relationships, academic and professional performance, and future health and well-being if not addressed early. However, only a few of those in need seek help.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
Institute for Collaboration on Health, Intervention, and Policy, University of Connecticut, Storrs, CT, United States.
Background: Children in the United States have poor diet quality, increasing their risk for chronic disease burden later in life. Caregivers' feeding behaviors are a critical factor in shaping lifelong dietary habits. The Strong Families Start at Home/Familias Fuertes Comienzan en Casa (SFSH) was a 6-month, home-based, pilot randomized-controlled feasibility trial that aimed to improve the diet quality of 2-5-year-old children and promote positive parental feeding practices among a predominantly Hispanic/Latine sample.
View Article and Find Full Text PDFJMIR Public Health Surveill
September 2025
Hospital Israelita Albert Einstein, 755 Comendador Elias Jafet Street, L1 Floor, Room 134, São Paulo, 05653-000, Brazil.
Background: The Brazilian project, launched in 2021, aims to establish a nationwide injury registry that systematically collects detailed information on incidents and individuals across the country, regardless of injury severity. The registry integrates information from prehospital and hospital care, various health systems lacking interoperability, and data from sectors such as firefighters and police. Its primary aim is to enhance health surveillance by providing timely, high-quality information that guides prevention strategies and informs policymaking.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
Southern University of Science and Technology, Department of Physics, State Key Laboratory of Quantum Functional Materials, and Guangdong Basic Research Center of Excellence for Quantum Science, Shenzhen 518055, China.
Quantum computing is expected to provide an exponential speedup in machine learning. However, optimizing the data loading process, commonly referred to as "quantum data embedding," to maximize classification performance remains a critical challenge. In this Letter, we propose a neural quantum embedding (NQE) technique based on deterministic quantum computation with one qubit (DQC1).
View Article and Find Full Text PDFPLOS Glob Public Health
September 2025
Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
This paper sought to identify and describe the innovations and adaptations implemented to ensure delivery of Sexual and Reproductive Health services during the COVID-19 pandemic and the potential for enhancing SRH services in other settings or in future emergencies. We searched five databases including PubMed, EMBASE, Scopus, Cochrane Library, and CINAHL. The review was registered on Prospero (CRD42022329411).
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