This paper describes a web-based resource that aims to improve health disparities research by providing guidance and tools for searching and evaluating information on vulnerable populations. The resource integrates electronic books on equity, diversity, and inclusion with interactive tutorials and modules teaching users to formulate research questions, select appropriate search terms, and appraise their searches. The resource also addresses the issue of biased and outdated searching terminology and offers alternative strategies for finding literature. The paper explains the rationale, design, and development process of the resource, as well as its potential benefits and challenges for health disparities researchers and educators.
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http://dx.doi.org/10.1080/02763869.2024.2448344 | DOI Listing |
J Gen Intern Med
January 2025
Department of Medicine, Weill Cornell Medicine, 525 E 68th St., New York, NY, 10065, USA.
Background: Post-acute sequelae of SARS-CoV-2 infection (PASC) are ongoing, relapsing, or new symptoms present at least 3 months after infection. Predictors of PASC, particularly across diverse racial and ethnic groups, remain unclear.
Objectives: Assess the prevalence of PASC 1 year after infection, examining differences in PASC prevalence by the social construct of race.
Pediatr Res
January 2025
Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
Background: This study aimed to investigate associations between sociodemographic factors and dietary intake among a diverse population of early adolescents ages 10-13 years in the United States.
Methods: We examined data from the Adolescent Brain Cognitive Development (ABCD) Study in Year 2 (2018-2020, ages 10-13 years, N = 10,280). Multivariable linear regression models were conducted to estimate the adjusted associations between sociodemographic factors (age, sex, race and ethnicity, household income, parental education) and dietary intake of various food groups, measured by the Block Kids Food Screener.
Tob Control
January 2025
Department of Health Policy and Management, Yale University School of Public Health, New Haven, Connecticut, USA
Objectives: Characterise US residents' exposure to restrictions on sales of flavoured electronic nicotine delivery system (ENDS), cigars and menthol cigarettes across states and time, and assess correlations between these policies.
Methods: From 2022 to 2024, we compiled flavour policy locations from advocacy groups and online searches, located corresponding legal texts and reviewed these to identify policy details, including effective dates. Using census data, we calculated the proportion of state residents covered by each policy quarterly from 2009 to 2024 and estimated correlations between them and cigarette taxes.
Tob Control
January 2025
La Trobe University Australian Research Centre in Sex Health and Society, Melbourne, Victoria, Australia.
Background: Smoking rates have declined markedly in Australia over time; however, lesbian, bisexual and queer (LBQ) women continue to smoke at higher rates than heterosexual women. Understanding the factors influencing smoking in this population is crucial for developing targeted cessation interventions and other supports.
Methods: Experiences of and motivations for smoking among 42 LBQ cisgender and transgender women and non-binary people in Australia who currently or previously smoked were explored through semi-structured interviews.
Inj Prev
January 2025
National Center on Homelessness Among Veterans, US Department of Veterans Affairs, Washington, District of Columbia, USA.
Objective: The objective of this study is to assess whether experiencing homelessness may be associated with future risk of injury death and characterise these injury deaths by homelessness status among veterans who received healthcare through the US Department of Veterans Affairs (VA).
Methods: A retrospective cohort study was conducted among 6 128 921 veterans (399 125 homeless and 5 729 796 non-homeless) who received VA healthcare between 2017 and 2020 and were followed until 2021 using linked data from VA's Corporate Data Warehouse, Homeless Operations Management System and the VA/Department of Defense Joint Mortality Data Repository. Injury death rates were estimated by homelessness status with 95% CIs using the exact Poisson method.
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