The negative impact of school absenteeism on children's academic performance has been documented in the educational literature, yet few studies have used validated development indicators, or investigated individual and neighborhood characteristics to illuminate potential moderating factors. Using cross-sectional Early Development Instrument (EDI) panel data (2001-2005) we constructed multilevel linear and logistic regression models to examine the association between school absenteeism and early childhood development, moderated by Aboriginal status, length of school absence, neighborhood-level income inequality, and children's sex assigned at birth. Our study included 3572 children aged four to eight in 56 residential neighborhoods in Saskatoon, Canada. Results indicated that Aboriginal children missing an average number of school days (3.63 days) had significantly lower EDI scores compared to non-Aboriginal children, controlling for individual and neighborhood factors. As school absenteeism lengthened, the gap in EDI scores between Aboriginal and non-Aboriginal children narrowed, becoming non-significant for absences greater than two weeks. Children with long-term school absence (>4 weeks of school), living in neighborhoods of low income inequality, had significantly better physical and social development scores compared to children from medium or high income inequality neighborhoods. Across all EDI domains, girls living in neighborhoods with low income inequality had significantly better EDI scores than boys in similar neighborhoods; however, sex-differences in EDI scores were not apparent for children residing in high income inequality neighborhoods. Results add to the literature by demonstrating differences in the relationship between school absenteeism and early developmental outcomes moderated by Aboriginal status, length of school absence, neighborhood income inequality, and sex assigned at birth. These moderating factors show that differential approaches are necessary when implementing policies and programs aimed at improving school attendance.
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http://dx.doi.org/10.3390/ijerph16081347 | DOI Listing |
EClinicalMedicine
August 2024
Section Health Equity Studies & Migration, Department of Primary Care and Health Services Research, Heidelberg University Hospital, Im Neuenheimer Feld 130.3, Heidelberg 69120, Germany.
Background: Evidence amounted early that migrants, who are often side-lined in pandemic response or preparedness plans, are disproportionately affected by the COVID-19 pandemic and its consequences. However, synthesised evidence that quantifies the magnitude of inequalities in infection risk, disease outcomes, consequences of pandemic measures or that explains the underlying mechanisms is lacking.
Methods: We conducted a systematic review searching 25 databases and grey literature (12/2019 to 09/2023) and considered empirical articles covering migrants, refugees, asylum-seekers, and internally displaced persons reporting COVID-19 cases, hospitalisation, ICU admission, mortality, COVID-19 vaccination rates or health consequences of pandemic measures.
NPJ Digit Med
January 2025
Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA.
Digital interventions are increasingly utilized as a lever to promote population health, yet not everyone may equally benefit from them. This umbrella review pooled the insights from available systematic and scoping reviews regarding potential social inequalities in digital intervention uptake, engagement and effectiveness, focusing on the promotion of weight-related behaviors (diet, physical activity, sedentary behavior) and weight loss (maintenance) in adults. Six databases were searched from 1970 to October 2023.
View Article and Find Full Text PDFJ Epidemiol Community Health
January 2025
University of Warwick Warwick Medical School, Coventry, UK.
Background: Preterm birth (PTB) and small-for-gestational-age (SGA) disproportionately affect women who are Black or Asian. Structural racism produces health inequalities. Identifying latent socioeconomic classes may help to understand the role socioeconomic position (SEP) plays in this inequality.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Background: The rapid shift to video consultation services during the COVID-19 pandemic has raised concerns about exacerbating existing health inequities, particularly for disadvantaged populations. Intersectionality theory provides a valuable framework for understanding how multiple dimensions of disadvantage interact to shape health experiences and outcomes.
Objective: This study aims to explore how multiple dimensions of disadvantage-specifically older age, limited English proficiency, and low socioeconomic status-intersect to shape experiences with digital health services, focusing on video consultations.
Health Syst Reform
December 2025
Department of Health Policy and Management, School of Public Health, Ben-Gurion University of the Negev, Beer Sheva, Israel.
In the pursuit of equitable diabetes care, international knowledge exchange (iKE) serves as a crucial mechanism for narrowing the gaps in quality within and between countries. Little is known about the process of quality measurement exchange among stakeholders from high-income countries (HICs), low- and middle-income countries (LMICs), and international organizations. This study aims to analyze recent international exchanges of quality measures in diabetes care and propose a framework for enhancing quality, focusing on LMICs.
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