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We explored the association between household alcohol use and behavior problems among South-African children, using data from the Asenze study, a population-based cohort of South African children and their caregivers. Household alcohol use and child behavior were assessed when children were 6-8 years old. To examine the association, we performed linear regressions. The sample included 1383 children with complete data under the care of 1251 adults. Children living in a household where self-reported caregiver alcohol use was scored as hazardous (4.6%) had higher levels of problem behavior (β = 1.94, 95% CI 0.06-3.82). There were no statistically significant associations between reported hazardous alcohol use by another member of the household (14.5%) and child problem behavior. Hazardous household alcohol use was associated with child problem behavior and this effect appeared to be mainly driven by primary caregiver use.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304574 | PMC |
http://dx.doi.org/10.1007/s10578-022-01342-7 | DOI Listing |
Alcohol Res
December 2024
Health Sciences Library, University of Arizona, Tucson, Arizona.
Purpose: Most research on the structural determinants of substance use and mental health has centered around widely studied factors such as alcohol taxes, tobacco control policies, essential/precursor chemical regulations, neighborhood/city characteristics, and immigration policies. Other structural determinants exist, however, many of which are being identified in the emerging fields of structural stigma, structural racism, and structural sexism. This narrative review surveys the measures and designs used in substance use and mental health studies from these three fields.
View Article and Find Full Text PDFBMC Public Health
December 2024
Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, Goyang-si, Gyeonggi-do, Korea.
Background: Given the rapid increase in the prevalence of prostate cancer (PCa), identifying its risk factors and developing suitable risk prediction models has important implications for public health. We used machine learning (ML) approach to screen participants with high risk of PCa and, specifically, investigated whether participants with metabolic syndrome (MetS) exhibited an elevated PCa risk.
Methods: A prospective cohort study was performed with 41,837 participants in South Korea.
Environ Int
December 2024
Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, The University of Memphis, Memphis, TN, USA. Electronic address:
High ambient heat can directly influence blood pressure (BP) through the vasodilation of the skin vasculature and indirectly by affecting urinary volume and electrolyte levels. We evaluated the direct and urine electrolyte-mediated effects of ambient temperature on BP. We pooled 5,624 person-visit data from a community-based stepped-wedge randomized control trial in southwest coastal Bangladesh from December 2016 to May 2017.
View Article and Find Full Text PDFAlcohol Clin Exp Res (Hoboken)
December 2024
Rutgers Institute for Health, Health Care Policy and Aging Research, Brunswick, New Jersey, USA.
Background: Setting rules about alcohol use and minimizing its availability in the home are known effective parent-level strategies for reducing underage drinking risk. However, parents' restrictions and their perceptions of their child's alcohol access have rarely been considered in combination (e.g.
View Article and Find Full Text PDFRev Bras Epidemiol
December 2024
Universidade Federal de Mato Grosso, Postgraduate Program in Collective Health - Cuiabá (MT), Brazil.
Objective: To analyze the association of household composition with risk behaviors in Brazilian adolescents.
Methods: Cross-sectional study, with a nationally representative sample of Brazilian adolescents (n=159,245) aged 13 to 17, enrolled and regularly attending the 7th to 9th year of elementary school and the 1st to 3rd year of high school, participants in the National Survey of School Health in 2019. The risk behaviors were: insufficient physical activity, sedentary behavior, alcohol consumption, smoking, poorer diet quality, skipping breakfast and not having meals with parents/guardians.
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