Childhood poverty, immune cell aging, and African Americans' insulin resistance: A prospective study
Open accessAbstract
The present study investigated developmental pathways that can contribute to chronic disease among rural African Americans. With a sample of 342 African American youth (59% female) from the southeastern United States followed for nearly two decades (2001–2019), we examined the prospective association between family poverty during adolescence (ages 11–18) and insulin resistance (IR) in young adulthood (ages 25–29) as well as underlying biological and psychosocial mechanisms. Results indicated family poverty during adolescence forecast higher levels of IR in young adulthood, with accelerated immune cell aging at age 20 partially mediating this association. Serial mediational models confirmed the hypothesized pathway linking family poverty, perceived life chances, cellular aging, and IR. Findings provide empirical support for theorized developmental precursors of chronic disease.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In a prospective longitudinal study of 342 Black individuals (59% women) from the southeastern US, childhood socioeconomic status predicted insulin resistance in young adulthood, such that every additional year living in poverty in childhood was associated with a 1.04-unit increase in HOMA-IR.
“Childhood socioeconomic status predicted insulin resistance in young adulthood, such that every additional year living in poverty in childhood was associated with a 1.04-unit increase in HOMA-IR.”
From The effects of sleep disruption on metabolism, hunger, and satiety, and the influence of psychosocial stress and exercise: A narrative review (2024) · cites this paper as [138]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions
Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007) · Multivariate Behavioral Research · doi:10.1080/00273170701341316 · Cited by 9,973 · see citing works
DNA methylation age of human tissues and cell types
Horvath, S. (2013) · Genome Biology · doi:10.1186/gb-2013-14-10-r115 · Cited by 7,075 · see citing works
Use and Abuse of HOMA Modeling
Wallace, T. M., Levy, J. C., & Matthews, D. R. (2004) · Diabetes Care · doi:10.2337/diacare.27.6.1487 · Cited by 5,114 · cited 1× · see citing works
“IR was estimated according to the updated homeostasis assessment (HOMA2) model (Wallace et al., 2004).”
DNA methylation-based biomarkers and the epigenetic clock theory of ageing
Horvath, S., & Raj, K. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0004-3 · Cited by 3,095 · see citing works
“Weathering” and Age Patterns of Allostatic Load Scores Among Blacks and Whites in the United States
Geronimus, A. T., Hicken, M., Keene, D., & Bound, J. (2006) · American Journal of Public Health · doi:10.2105/ajph.2004.060749 · Cited by 2,525 · see citing works
Miller, G. E., Chen, E., & Parker, K. J. (2011) · Psychological Bulletin · doi:10.1037/a0024768 · Cited by 1,785 · see citing works
Self-citationAge differences in future orientation and delay discounting
Steinberg, L., Graham, S., O’Brien, L., Woolard, J., Cauffman, E., & Banich, M. (2009) · Child Development · doi:10.1111/j.1467-8624.2008.01244.x · Cited by 1,237 · see citing works
Social Relationships and Health Behavior Across the Life Course
Umberson, D., Crosnoe, R., & Reczek, C. (2010) · Annual Review of Sociology · doi:10.1146/annurev-soc-070308-120011 · Cited by 1,226 · see citing works
Understanding associations among race, socioeconomic status, and health: Patterns and prospects.
Williams, D. R., Priest, N., & Anderson, N. B. (2016) · Health Psychology · doi:10.1037/hea0000242 · Cited by 1,147 · see citing works
Jackson, J. S., Knight, K. M., & Rafferty, J. A. (2010) · American Journal of Public Health · doi:10.2105/ajph.2008.143446 · Cited by 840 · see citing works
Epigenetic clock analysis of diet, exercise, education, and lifestyle factors
Quach, A., Levine, M. E., Tanaka, T., Lu, A. T., Chen, B. H., Ferrucci, L., Ritz, B., Bandinelli, S., Neuhouser, M. L., Beasley, J. M., et al. (2017) · Aging · doi:10.18632/aging.101168 · Cited by 801 · see citing works
Measuring biological aging in humans: a quest
Ferrucci, L., Gonzalez‐Freire, M., Fabbri, E., Simonsick, E., Tanaka, T., Moore, Z., Salimi, S., Sierra, F., & de Cabo, R. (2020) · Aging Cell · doi:10.1111/acel.13080 · Cited by 781 · see citing works
Rural Health Disparities, Population Health, and Rural Culture
Hartley, D. (2004) · American Journal of Public Health · doi:10.2105/ajph.94.10.1675 · Cited by 766 · see citing works
Obesity accelerates epigenetic aging of human liver
Horvath, S., Erhart, W., Brosch, M., Ammerpohl, O., Schönfels, W. V., Ahrens, M., Heits, N., Bell, J. T., Tsai, P.-C., Spector, T. D., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1412759111 · Cited by 760 · see citing works
Developmental Origins of Health and Disease
Gillman, M. W. (2005) · New England Journal of Medicine · doi:10.1056/nejme058187 · Cited by 756 · see citing works
Hostinar, C. E., Sullivan, R. M., & Gunnar, M. R. (2014) · Psychological Bulletin · doi:10.1037/a0032671 · Cited by 739 · see citing works
Regulation of metabolism by the innate immune system
Lackey, D. E., & Olefsky, J. M. (2016) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2015.189 · Cited by 667 · see citing works
Biological embedding of childhood adversity: from physiological mechanisms to clinical implications
Berens, A. E., Jensen, S. K. G., & Nelson, C. A. (2017) · BMC Medicine · doi:10.1186/s12916-017-0895-4 · Cited by 657 · cited 1× · see citing works
“Findings provide support for life-course perspectives on health and the developmental origins of chronic disease (Berens et al., 2017; Miller et al., 2011).”
Pleiotropic actions of insulin resistance and inflammation in metabolic homeostasis
Odegaard, J. I., & Chawla, A. (2013) · Science · doi:10.1126/science.1230721 · Cited by 643 · see citing works
The Forms and Mechanisms of Stress Proliferation: The Case of AIDS Caregivers
Pearlin, L. I., Aneshensel, C. S., & LeBlanc, A. J. (1997) · Journal of Health and Social Behavior · doi:10.2307/2955368 · Cited by 506 · see citing works
Widening Rural–Urban Disparities in Life Expectancy, U.S., 1969–2009
Singh, G. K., & Siahpush, M. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2013.10.017 · Cited by 471 · see citing works
Brody, G. H., Yu, T., Chen, E., Miller, G. E., Kogan, S. M., & Beach, S. R. H. (2013) · Psychological Science · doi:10.1177/0956797612471954 · Cited by 329 · see citing works
Self-citationSumner, J. A., Colich, N. L., Uddin, M., Armstrong, D., & McLaughlin, K. A. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.09.008 · Cited by 315 · see citing works
Early onset type 2 diabetes: risk factors, clinical impact and management
Wilmot, E., & Idris, I. (2014) · Therapeutic Advances in Chronic Disease · doi:10.1177/2040622314548679 · Cited by 269 · see citing works
Traumatic stress and accelerated DNA methylation age: a meta-analysis
Wolf, E. J., Maniates, H., Nugent, N., Maihofer, A. X., Armstrong, D., Ratanatharathorn, A., Ashley-Koch, A. E., Garrett, M., Kimbrel, N. A., Lori, A., et al. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.12.007 · Cited by 245 · see citing works
Allostatic processes in the family
Repetti, R. L., Robles, T. F., & Reynolds, B. (2011) · Development and Psychopathology · doi:10.1017/s095457941100040x · Cited by 236 · see citing works
Geronimus, A. T., Bound, J., Waidmann, T., Colen, C. G., & Steffick, D. (2001) · Demography · doi:10.1353/dem.2001.0015 · Cited by 235 · see citing works
Canedo, J. R., Miller, S. T., Schlundt, D., Fadden, M. K., & Sanderson, M. (2018) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-016-0335-8 · Cited by 230 · see citing works
Simons, R. L., Lei, M., Beach, S. R. H., Philibert, R. A., Cutrona, C. E., Gibbons, F. X., & Barr, A. B. (2015) · Social Science & Medicine · doi:10.1016/j.socscimed.2015.12.001 · Cited by 214 · see citing works
(1990) · De Gruyter eBooks · doi:10.1515/9783110847659 · Cited by 206 · see citing works
Brody, G. H., Miller, G. E., Yu, T., Beach, S. R. H., & Chen, E. (2016) · Psychological Science · doi:10.1177/0956797615626703 · Cited by 185 · see citing works
Self-citationExposure to Violence Accelerates Epigenetic Aging in Children
Jovanović, T., Vance, L. A., Cross, D., Knight, A. K., Kilaru, V., Michopoulos, V., Klengel, T., & Smith, A. K. (2017) · Scientific Reports · doi:10.1038/s41598-017-09235-9 · Cited by 183 · see citing works
A family-oriented psychosocial intervention reduces inflammation in low-SES African American youth
Miller, G. E., Brody, G. H., Yu, T., & Chen, E. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1406578111 · Cited by 180 · cited 1× · see citing works
“Supportive parenting has emerged as a promising moderator, in human and animal research (Hostinar et al., 2014) as well as family-based interventions (Brody, Miller, Yu, et al., 2016; Miller et al., 2014).”
Self-citationBrody, G. H., Yu, T., Chen, E., Beach, S. R. H., & Miller, G. E. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12495 · Cited by 174 · see citing works
Self-citationPurpose in life predicts allostatic load ten years later
Zilioli, S., Slatcher, R. B., Ong, A. D., & Gruenewald, T. L. (2015) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2015.09.013 · Cited by 162 · see citing works
Adolescents’ expectations for the future predict health behaviors in early adulthood
McDade, T. W., Chyu, L., Duncan, G. J., Hoyt, L. T., Doane, L. D., & Adam, E. K. (2011) · Social Science & Medicine · doi:10.1016/j.socscimed.2011.06.005 · Cited by 156 · see citing works
Lawn, R. B., Anderson, E. L., Suderman, M. J., Simpkin, A. J., Gaunt, T. R., Teschendorff, A. E., Widschwendter, M., Hardy, R., Kuh, D. J., Relton, C. L., et al. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy036 · Cited by 129 · see citing works
Childhood adversity and adult health: Evaluating intervening mechanisms
Turner, R. J., Thomas, C. S., & Brown, T. H. (2016) · Social Science & Medicine · doi:10.1016/j.socscimed.2016.02.026 · Cited by 125 · see citing works
Telomere Length Among Older U.S. Adults: Differences by Race/Ethnicity, Gender, and Age
Brown, L. L., Needham, B. L., & Ailshire, J. (2016) · Journal of Aging and Health · doi:10.1177/0898264316661390 · Cited by 115 · see citing works
Huang, R., Lillycrop, K. A., Beilin, L. J., Godfrey, K. M., Anderson, D. R., Mori, T. A., Rauschert, S., Craig, J. M., Oddy, W. H., Ayonrinde, O. T., et al. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-02076 · Cited by 99 · see citing works
Poverty and Socioeconomic Disadvantage in Adolescence
McLoyd, V. C., Kaplan, R. L., Purtell, K. M., Bagley, E. J., Hardaway, C. R., & Smalls, C. (2009) · Wiley eBooks · doi:10.1002/9780470479193.adlpsy002014 · Cited by 98 · see citing works
Resilience to adversity and the early origins of disease
Brody, G. H., Yu, T., & Beach, S. R. H. (2016) · Development and Psychopathology · doi:10.1017/s0954579416000894 · Cited by 96 · see citing works
Self-citationAccelerated Health Declines among African Americans in the USA
Thorpe, R. J., Fesahazion, R. G., Parker, L. J., Wilder, T., Rooks, R. N., Bowie, J. V., Bell, C. N., Szanton, S. L., & LaVeist, T. A. (2016) · Journal of Urban Health · doi:10.1007/s11524-016-0075-4 · Cited by 93 · see citing works
A longitudinal study of DNA methylation as a potential mediator of age-related diabetes risk
Grant, C. D., Jafari, N., Hou, L., Li, Y., Stewart, J. D., Zhang, G., Lamichhane, A. P., Manson, J. E., Baccarelli, A., Whitsel, E. A., et al. (2017) · GeroScience · doi:10.1007/s11357-017-0001-z · Cited by 70 · see citing works
Hawkins, W. E., Hawkins, M. J., Sabatino, C., & Ley, S. (1998) · Children and Youth Services Review · doi:10.1016/s0190-7409(98)00043-7 · Cited by 69 · see citing works
Persistence of skin-deep resilience in African American adults.
Brody, G. H., Yu, T., Chen, E., & Miller, G. E. (2020) · Health Psychology · doi:10.1037/hea0000945 · Cited by 64 · see citing works
Self-citationCherrington, A., Martin, M., Hayes, M., Halanych, J. H., Wright, M. L. A., & Appel, S. J. (2011) · Preventing Chronic Disease · doi:10.5888/pcd9.110053 · Cited by 53 · see citing works
Premature aging of leukocyte DNA methylation is associated with type 2 diabetes prevalence
Toperoff, G., Kark, J. D., Aran, D., Nassar, H., Ahmad, W. A., Sinnreich, R., Azaiza, D., Gläser, B., & Hellman, A. (2015) · Clinical Epigenetics · doi:10.1186/s13148-015-0069-1 · Cited by 42 · see citing works
Low perceived chances for success in life and binge drinking among inner-city minority youth
Griffin, K. W., Botvin, G. J., Nichols, T. R., & Scheier, L. M. (2004) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2003.07.026 · Cited by 40 · see citing works
(1997) · Choice Reviews Online · doi:10.5860/choice.35-1566 · Cited by 38 · see citing works
Does Early Life Racial Discrimination Explain a Mental Health Paradox among Black Adults?
Tobin, C. S. T., & Moody, M. D. (2021) · Journal of Aging and Health · doi:10.1177/0898264320988187 · Cited by 36 · see citing works
Fuller-Rowell, T. E., Homandberg, L. K., Curtis, D. S., Tsenkova, V. K., Williams, D. R., & Ryff, C. D. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2019.04.020 · Cited by 35 · see citing works
A time to be chronically stressed? Maladaptive time perspectives are associated with allostatic load
Bourdon, O., Raymond, C., Marin, M., Olivera-Figueroa, L. A., LUPIEN, S. J., & Juster, R. (2020) · Biological Psychology · doi:10.1016/j.biopsycho.2020.107871 · Cited by 31 · see citing works
Barton, A. W., Kogan, S. M., Cho, J., & Brown, G. L. (2015) · American Journal of Community Psychology · doi:10.1007/s10464-015-9748-5 · Cited by 16 · see citing works
Self-citation
Flagged first, then by citations
1 of the 55 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Brody, G. H. (2016). Family‐centered prevention for rural African Americans: The strong African American families program (SAAF), the strong African American families‐teen program (SAAF‐T), and the adults in the making program (AIM). In M. J. Van Ryzin, K. L. Kumpfer, G. M. Fosco, & M. T. Greenberg (Eds.), Family‐based prevention programs for children adolescents: Theory, research, large‐scale dissemination (pp. 282– 307). Psychology Press.
- Williams, D. R., Priest, N., & Anderson, N. B. (2016). Understanding associations among race, socioeconomic status, and health: Patterns and prospects. Health Psychology, 35, 407– 411. 10.1037/hea0000242 27018733 PMC4817358 · DOI · Paper page
Cited by
Sorted by citations
Rogers, E. M., Banks, N. F., & Jenkins, N. D. M. (2024) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3667 · Cited by 62 · see citing works
McCrae, J. S., & Spain, A. K. (2023) · Archives of Public Health · doi:10.1186/s13690-023-01120-4 · Cited by 7 · see citing works
Trends in Prevalence of Insulin Resistance Among Nondiabetic/Nonprediabetic Adolescents, 1999–2020
Zhao, D., Wang, L., Jiao, X.-T., Shi, C., Luo, Z.-C., Chen, Y., & Zhang, Y.-J. (2025) · Pediatric Diabetes · doi:10.1155/pedi/9982025 · Cited by 4 · see citing works
Influencing Factors of Healthy Aging Risk Assessed Using Biomarkers: A Life Course Perspective
Lua, C. Z. B., Gao, Y., Li, J., Cao, X., Lyu, X., Tu, Y., Jin, S., & Liu, Z. (2024) · China CDC Weekly · doi:10.46234/ccdcw2024.044 · Cited by 3 · see citing works
Fu, M., Peng, Z., Xue, Y., Lv, D., & Wu, M. (2025) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-025-03189-z
McCrae, J. S., & Spain, A. K. (2024) · Figshare · doi:10.6084/m9.figshare.26597687
Epigenetics, Structural Determinants, and Race
Harris, L. K., Nordone, S. K., BENTLEY-EDWARDS, K. L., & Randolph, S. D. (2026) · Advances in Nursing Science · doi:10.1097/ans.0000000000000647
- Authors
- Barton, A. W., Yu, T., Gong, Q., Miller, G. E., Chen, E., & Brody, G. H.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- University of Georgia (US)
- Northwestern University (US)
- Corresponding author
- Barton, Allen W
- Venue
- Child Development
- Publisher
- Oxford University Press (OUP)
- Published
- 2022-08-30
- Volume
- 93
- Issue
- 5
- Pages
- 1616-1624
- ISSN
- 0009-3920 (ISSN-L)
- 1467-8624
- PMC
- PMC9427675
- OpenAlex
- W4281249286
- Cited by
- 8
- References
- 55
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 2 · 2022: 1
- FWCI
- 1.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Child Development (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD030588)
- National Institute on Drug Abuse (P50 DA051361)
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Health Professions › General Health Professions › Food Security and Health in Diverse Populations
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- child poverty, household poverty, insulin resistance, cellular aging, African American youth, adolescence, early adulthood, chronic disease, developmental pathways, rural African Americans
- MeSH terms
- Child Poverty, Adolescent, Adult, Black or African American, Child, Female, Humans, Insulin Resistance, Male, Prospective Studies, Cellular Senescence, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review