Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jan:71:101497.
doi: 10.1016/j.dcn.2024.101497. Epub 2024 Dec 18.

Responsible research in health disparities using the Adolescent Brain Cognitive DevelopmentSM (ABCD) study

Affiliations

Responsible research in health disparities using the Adolescent Brain Cognitive DevelopmentSM (ABCD) study

M R Gonzalez et al. Dev Cogn Neurosci. 2025 Jan.

Abstract

Purpose: The Adolescent Brain Cognitive DevelopmentSM (ABCD) Study is the largest longitudinal study on brain development and adolescent health in the United States. The study includes a sociodemographically diverse cohort of nearly 12,000 youth born 2005-2009, with an open science model of making data rapidly available to the scientific community. The ABCD Study® data has been used in over 1100 peer-reviewed publications since its first data release in 2018. The dataset contains a broad scope and comprehensive set of measures of youths' behavioral, health, and brain outcomes, as well as extensive contextual and environmental measures that map onto the social determinants of health (SDOH). Understanding the impact of SDOH on the developmental trajectories of youth will help to address early lifecourse health inequities that lead to disparities later in life. However, the open science model and extensive use of ABCD data highlight the need for guidance on appropriate, responsible, and equitable use of the data.

Design methods: Our conceptual framework integrates the National Institute on Minority Health and Health Disparities (NIMHD) Research Framework with strength-based and data equity perspectives. We use this framework to articulate best practices and methods for investigations that aim to identify the multilevel pathways by which structural and systemic inequities impact adolescent health trajectories.

Results: Using our conceptual model, we provide recommendations for equitable health disparities research using ABCD Study data. We identify over fifty ABCD measures that can encompass SDOH across five levels of influence: individual, interpersonal, school, community, and societal. We expand the societal level to acknowledge structural discrimination as the root cause of systemic and structural inequities resulting in health disparities among marginalized youth. We apply the methodological recommendations in an example data analysis using a multi-level approach that integrates strength-based and data equity perspectives to elucidate pathways by which social and structural inequities may influence cognitive decision making in youth. We conclude with recommendations for strengthening the utility of ABCD data for health disparities research now and in the future.

Conclusion: Adolescence is a critical period of development with subsequent ramifications for health outcomes across the lifespan. Thus, understanding SDOH among diverse youth can inform prevention interventions before the emergence of health disparities in adulthood.

Keywords: Adolescent health; Health disparities research; Responsible data use; Social determinants of health.

PubMed Disclaimer

Conflict of interest statement

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Declaration of Competing Interests The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Our adaptation of the NIMHD health disparities research framework consists of a conceptual model with five domains for the social determinants of health: biological, behavioral, sociocultural, physical/built environment, and the healthcare system, each spanning five contextual levels important for adolescent health: individual, interpersonal, school, community, and societal contexts, with such early exposures having an impact across the life course. In addition, the conceptual model advocates for strength-based models of resiliency and integration of a data equity approach to prioritize the voices and viewpoints of the populations and communities being studied.
Fig. 2
Fig. 2
Recommendations for incorporating community expert feedback in the research process with secondary data analysis of ABCD Study data.
Fig. 3
Fig. 3
Model testing interpersonal, school, and community-level SDOH in association with our behavioral health measure for decision making strategies for N = 968 youth ages 12–15 years who were in low-income households, at or below 200 % of the federal poverty line, with available data in the ABCD 5.1 data release for baseline and Year 4 measures. We show the standardized beta coefficients and confidence intervals for each predictor, with significant associations in bold.

References

    1. Aguilar-Gaxiola, S., Ahmed, S. M., Anise, A., Azzahir, A., Baker, K. E., Cupito, A., . & Zaldivar, R., 2022. Assessing meaningful community engagement: A conceptual model to advance health equity through transformed systems for health: Organizing committee for assessing meaningful community engagement in health & health care programs & policies. NAM perspectives, 2022. - PMC - PubMed
    1. Auchter A.M., Hernandez Mejia M., Heyser C.J., Shilling P.D., Jernigan T.L., Brown S.A., Tapert S.F., Dowling G.J. A description of the ABCD organizational structure and communication framework. Dev. Cogn. Neurosci. 2018;32:8–15. doi: 10.1016/j.dcn.2018.04.003. - DOI - PMC - PubMed
    1. Bagby S.P., Martin D., Chung S.T., Rajapakse N. From the outside in: Biological mechanisms linking social and environmental exposures to chronic disease and to health disparities. Am. J. Public Health. 2019;109, S56_S63 doi: 10.2105/AJPH.2018.304864. - DOI - PMC - PubMed
    1. Bagot K.S., Matthews S.A., Mason M., Squeglia L.M., Fowler J., Gray K., Herting M., May A., Colrain I., Godino J., Tapert S., Brown S., Patrick K. Current, future and potential use of mobile and wearable technologies and social media data in the ABCD study to increase understanding of contributors to child health. Dev. Cogn. Neurosci. 2018;32:121–129. doi: 10.1016/j.dcn.2018.03.008. - DOI - PMC - PubMed
    1. Barch D.M., Albaugh M.D., Avenevoli S., Chang L., Clark D.B., Glantz M.D., Hudziak J.J., Jernigan T.L., Tapert S.F., Yurgelun-Todd D., Alia-Klein N., Potter A.S., Paulus M.P., Prouty D., Zucker R.A., Sher K.J. Demographic, physical and mental health assessments in the Adolescent Brain and Cognitive Development Study: Rationale and description. Dev. Cogn. Neurosci. 2017;32:55–66. doi: 10.1016/j.dcn.2017.10.010. - DOI - PMC - PubMed

Publication types