Abstract
A large body of evidence suggests that exposure to childhood adversities increases risk for poor quality physical health in adulthood. Much of this evidence is based on retrospective measures which are believed to be contaminated by the limitations and biases of autobiographical memory. Using longitudinal data on 454 African Americans (61 percent female) this study examines the corroboration between prospective and retrospective measures of childhood adversities gathered approximately two decades apart, and the relative ability of the measures to predict self-reported illnesses and a biomarker of 30-year cardiovascular disease risk. Comparisons indicated that the retrospective and prospective measures demonstrated weak convergence and did not provide completely equivalent information about self-reported adverse childhood experiences. A series of regression models indicated that the two measures of adversities exhibited similar associations with the cardiovascular disease biomarker but divergent associations with self-reported illnesses. Furthermore, both the prospective and retrospective measures simultaneously predicted cardiovascular disease risk in adulthood. That the prospective measure did not significantly predict perceived illnesses after adjusting for the retrospective measure is evidence that childhood adversities predict self-reported health burden insofar as respondents remember those adversities as adults. The findings provide evidence that retrospective self-report measures of childhood adversities do not closely converge with prospective measures, and that retrospective measures may not provide valid estimates of the association between childhood adversities and perceived illnesses in adulthood.
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Notes
Also, it may be that concurrent (adult) reports of limited childhood adversities predict self-reported illnesses even among adults who reported adverse events as children.
Adults with optimal health might also tend to forget or not report adverse childhood experiences (Hardt and Rutter 2004:267).
References
Agorastos, A., Pittman, J. O. E., Angkaw, A. C., Nievergelt, C. M., Hansen, C. J., & Aversa, L. H., et al. (2014). The cumulative effect of different childhood trauma types on self-reported symptoms of adult male depression and PTSD, substance abuse and health-related quality of life in a large active-duty military cohort. Journal of Psychiatric Research, 58, 46–54.
Baldwin, J. R., Reuben, A., Newbury, J. B., & Danese, A. (2019). Agreement between prospective and retrospective measures of childhood maltreatment: a systematic review and meta-analysis. JAMA Psychiatry, 76(6), 584–593.
Bernstein, D. P., Stein, J. A., Newcomb, M. D., Walker, E., Pogge, D., & Ahluvalia, T., et al. (2003). Development and validation of a brief screening version of the childhood trauma questionnaire. Child Abuse & Neglect, 27(2), 169–190.
Blumenshine, P., Egerter, S., Barclay, C. J., Cubbin, C., & Braveman, P. A. (2010). Socioeconomic disparities in adverse birth outcomes: a systematic review. American Journal of Preventive Medicine, 39(3), 263–272.
Brody, G. H., Yu, T., & Beach, S. R. H. (2016). Resilience to adversity and the early origins of disease. Development and Psychopathology, 28(4), 1347–1365.
Brondolo, E., Love, E. E., Pencille, M., Schoenthaler, A., & Ogedegbe, G. (2011). Racism and hypertension: a review of the empirical evidence and implications for clinical practice. American Journal of Hypertension, 24(5), 518–529.
Chen, E., Martin, A. D., & Matthews, K. A. (2007). Trajectories of socioeconomic status across children’s lifetime predict health. Pediatrics, 120(2), e297–e303.
Chen, E., Matthews, K. A., & Boyce, W. T. (2002). Socioeconomic differences in children’s health: how and why do these relationships change with age? Psychological Bulletin, 128(2), 295–329.
Chen, K., Cheng, Y., Berkout, O., & Lindhiem, O. (2017). Analyzing proportion scores as outcomes for prevention trials: a statistical primer. Prevention Science, 18(3), 312–321. https://doi.org/10.1007/s11121-016-0643-6.
Chyu, L., & Upchurch, D. M. (2011). Racial and ethnic patterns of allostatic load among adult women in the United States: findings from the National Health and Nutrition Examination Survey 1999–2004. Journal of Women’s Health, 20(4), 575–583.
Clark, L. T., Ferdinand, K. C., Flack, J. M., Hall, W. D., Kumanyika, S. K., Reed, J. W., & Saunders, E., et al. (2001). Coronary heart disease in African Americans. Heart Disease, 3(2), 97–108.
Cole, S. W., Conti, G., Arevalo, J. M. G., Ruggiero, A. M., Heckman, J. J., & Suomi, S. J. (2012). Transcriptional modulation of the developing immune system by early life social adversity. Proceedings of the National Academy of Sciences, 109(50), 20578–20583.
Colman, I., Kingsbury, M., Garad, Y., Zeng, Y., Naicker, K., & Patten, S., et al. (2016). Consistency in adult reporting of adverse childhood experiences. Psychological Medicine, 46(3), 543–549.
D’agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., & Kannel, W. B. (2008). General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation, 117(6), 743–753.
Danese, A., Moffitt, T. E., Harrington, H., Milne, B. J., Polanczyk, G., & Pariante, C. M., et al. (2009). Adverse childhood experiences and adult risk factors for age-related disease: depression, inflammation, and clustering of metabolic risk markers. Journal Archives of Pediatrics Adolescent Medicine, 163(12), 1135–1143.
Danese, A. (2018). Commentary: biological embedding of childhood adversity: where do we go from here? A reflection on Koss and Gunnar. Journal of Child Psychology and Psychiatry, 59(4), 347–349.
Diez Roux, A. V., Mujahid, M. S., Hirsch, J. A., Moore, K., & Moore, L. V. (2016). The impact of neighborhoods on CV risk. Global Heart, 11(3), 353–363.
Doom, J. R., Mason, S. M., Suglia, S. F., & Clark, C. J. (2017). Pathways between childhood/adolescent adversity, adolescent socioeconomic status, and long-term cardiovascular disease risk in young adulthood. Social Science & Medicine, 188, 166–175.
Ebbert, A. M., Infurna, F. J., Luthar, S. S., Lemery-Chalfant, K., & Corbin, W. R. (2019). Examining the link between emotional childhood abuse and social relationships in midlife: the moderating role of the oxytocin receptor gene. Child Abuse & Neglect, 98, 104151. https://doi.org/10.1016/j.chiabu.2019.104151.
Fergusson, D. M., Horwood, L. J., & Woodward, L. J. (2000). The stability of child abuse reports: a longitudinal study of the reporting behaviour of young adults. Journal of Psychological Medicine, 30(3), 529–544.
Ferrari, S., & Cribari-Neto, F. (2004). Beta regression for modelling rates and proportions. Journal of Applied Statistics, 31(7), 799–815. https://doi.org/10.1080/0266476042000214501.
Fisher, R. (1938). The statistical utilization of multiple measurements. Annals of Human Eugenics, 8(4), 376–386.
Fisher, H. L., Bunn, A., Jacobs, C., Moran, P., & Bifulco, A. (2011). Concordance between mother and offspring retrospective reports of childhood adversity. Child Abuse & Neglect, 35(2), 117–122.
Geronimus, A. T., Hicken, M., Keene, D., & Bound, J. (2006). “Weathering” and age patterns of allostatic load scores among blacks and whites in the United States. American Journal of Public Health, 96(5), 826–833.
Gilbert, L. K., Breiding, M. J., Merrick, M. T., Thompson, W. W., Ford, D. C., Dhingra, S. S., & Parks, S. E. (2015). Childhood adversity and adult chronic disease: an update from ten states and the District of Columbia, 2010. American Journal of Preventive Medicine, 48, 345–349.
Goltermann, J., Opel, N., & Dannlowski, U. (2019). Considering the source of information in the evaluation of maltreatment experiences. JAMA Psychiatry, 76(9), 984–985.
Hardt, J., & Rutter, M. (2004). Validity of adult retrospective reports of adverse childhood experiences: review of the evidence. Journal of Child Psychiatry and Psychology, 45(2), 260–273.
Havranek, E. P., Mujahid, M. S., Barr, D. A., Blair, I. V., Cohen, M. S., & Cruz-Flores, S., et al. (2015). Social determinants of risk and outcomes for cardiovascular disease: a scientific statement from the American Heart Association. Circulation, 132(9), 873–898.
Hozawa, A., Folsom, A. R., Sharrett, A. R., & Chambless, L. E. (2007). Absolute and attributable risks of cardiovascular disease incidence in relation to optimal and borderline risk factors: comparison of African American with white subjects–Atherosclerosis Risk in Communities Study. Archives of Internal Medicine, 167(6), 573–579.
Iob, E., Lacey, R., & Steptoe, A. (2019). The long-term association of adverse childhood experiences with C-reactive protein and hair cortisol: cumulative risk versus dimensions of adversity. Brain, Behavior, and Immunity. https://doi.org/10.1016/j.bbi.2019.12.019.
Kendall, P. C., & Williams, C. L. (1982). Assessing the cognitive and behavioral components of children’s self-management. In P. Karoly & F. H. Kanfer (Eds), Self-management and behavior change (pp. 240–284). New York, NY: Pergamon.
Kessler, R. C., Andrews, G., Mroczek, D., Ustun, B., & Wittchen, H.-U. (1998). The World Health Organization Composite International Diagnostic Interview Short-Form (CIDI-SF). International Journal of Methods in Psychiatric Research, 7(4), 171–185. https://doi.org/10.1002/mpr.47.
Lei, M.-K., Beach, S. R. H., & Simons, R. L. (2018). Childhood trauma, pubertal timing, and cardiovascular risk in adulthood. Health Psychology, 37(7), 613–617.
Mahmood, S. S., Levy, D., Vasan, R. S., & Wang, T. J. (2014). The Framingham Heart Study and the epidemiology of cardiovascular disease: a historical perspective. The Lancet, 383(9921), 999–1008.
Miller, G. E., Chen, E., & Parker, K. J. (2011). Psychological stress in childhood and susceptibility to the chronic diseases of aging: moving toward a model of behavioral and biological mechanisms. Psychological Bulletin, 137(6), 959–997.
Myers, R. H. (1990). Classical and modern regression with applications. 2nd ed. Boston, MA: Duxbury.
Menard, S (2002). Longitudinal research: second edition. Sage University papers series on quantitative applications in the social sciences. 07–76. Thousand Oaks, CA: Sage.
Naicker, S. N., Norris, S. A., Mabaso, M., & Richter, L. M. (2017). An analysis of retrospective and repeat prospective reports of adverse childhood experiences from the South African Birth to Twenty Plus cohort. PLoS ONE, 12(7), e0181522. https://doi.org/10.1371/journal.pone.0181522.
Newbury, J. B., Arseneault, L., Moffitt, T. E., Caspi, A., Danese, A., Baldwin, J. R., & Fisher, H. L. (2018). Measuring childhood maltreatment to predict early-adult psychopathology: comparison of prospective informant-reports and retrospective self-reports. Journal of Psychiatric Research, 96, 57–64.
Nørby, S. (2015). Why forget? On the adaptive value of memory loss. Perspectives on Psychological Science, 10(5), 551–578.
Pencina, M. J., D’Agostino, R. B., Larson, M. G., Massaro, J. M., & Vasan, R. S. (2009). Predicting the 30-year risk of cardiovascular disease: the Framingham Heart Study. Circulation, 119(24), 3078–3084.
Pool, L. R., Ning, H., Lloyd‐Jones, D. M., & Allen, N. B. (2017). Trends in racial/ethnic disparities in cardiovascular health among US adults from 1999–2012. Journal of the American Heart Association, 6(9), e006027. https://doi.org/10.1161/JAHA.117.006027.
Puig, J., Englund, M. M., Simpson, J. A., & Collins, W. A. (2013). Predicting adult physical illness from infant attachment: a prospective longitudinal study. Health Psychology, 32(4), 409–417.
Rasmussen, L. J. H., Moffitt, T. E., Arseneault, L., Danese, A., Eugen-Olsen, J., & Fisher, H. L., et al. (2020). Association of adverse experiences and exposure to violence in childhood and adolescence with inflammatory burden in young people. JAMA Pediatrics, 174(1), 38–47.
Reuben, A., Moffitt, T. E., Caspi, A., Belsky, D. W., Harrington, H., & Schroeder, F., et al. (2016). Lest we forget: comparing retrospective and prospective assessments of adverse childhood experiences in the prediction of adult health. Journal of Child Psychology and Psychiatry, 57(10), 1103–1112.
Saydah, S., Bullard, K. M., Imperatore, G., Geiss, L., & Gregg, E. W. (2013). Cardiometabolic risk factors among US adolescents and young adults and risk of early mortality. Pediatrics, 131(3), e679–e686.
Schraedley, P. K., Turner, R. J., & Gotlib, I. H. (2002). Stability of retrospective reports in depression: traumatic events, past depressive episodes, and parental psychopathology. Journal of Health and Social Behavior, 43(3), 307–316.
Scott, J., & Alwin, D. (1998). Retrospective versus prospective measurement of life histories in longitudinal research. In J. Z. Giele & G. H. Elder, Jr. (Eds), Methods of life course research: qualitative and quantitative approaches (pp. 98–127). Thousand Oaks: SAGE Publications, Inc. https://doi.org/10.4135/9781483348919.
Sheikh, M. A. (2018). Childhood disadvantage, education, and psychological distress in adulthood: a three-wave population-based study. Journal of Affective Disorders, 229, 206–212.
Sierau, S., Brand, T., Manly, J. T., Schlesier-Michel, A., Klein, A. M., & Andreas, A., et al. (2017). A multisource approach to assessing child maltreatment from records, caregivers, and children. Child Maltreatment, 22(1), 45–57.
Simons, R. L., Lei, M.-K., Beach, S. R. H., Brody, G. H., Philibert, R. A., & Gibbons, F. X. (2011). Social environment, genes, and aggression: evidence supporting the differential susceptibility perspective. American Sociological Review, 76(6), 883–912.
Simons, R. L., Lei, M.-K., Beach, S. R. H., Barr, A. B., Simons, L. G., Gibbons, F. X., & Philibert, R. A. (2018). Discrimination, segregation, and chronic inflammation: testing the weathering explanation for the poor health of black Americans. Developmental Psychology, 54(10), 1993–2006.
Spielberger, C. D, Jacobs, G, Russell, S., & Crane, R. S. (1983). Assessment of anger: the state-trait anger scale. In J. N. Butcher, C. D. Spielberger, (Eds) Advances in personality assessment. (pp. 161–189). Hillsdale, NJ: Erlbaum. Vol. 2.
StataCorp. (2017). Stata Statistical Software: Release 15. College Station, TX: StataCorp LLC.
Suglia, S. F., Koenen, K. C., Boynton-Jarrett, R., Chan, P. S., Clark, C. J., & Danese, A., et al. (2018). Childhood and adolescent adversity and cardiometabolic outcomes: a scientific statement from the American Heart Association. Circulation, 137(5), e15–e28.
Susser, E., & Widom, C. S. (2012). Still searching for lost truths about the bitter sorrows of childhood. Schizophrenia Bulletin, 38(4), 672–675.
Turner, R. J., Brown, T., & Hale, W. B. (2017). Race, socioeconomic position, and physical health: a descriptive analysis. Journal of Health and Social Behavior, 58(1), 23–36.
Wade, R., Shea, J. A., Rubin, D., & Wood, J. (2014). Adverse childhood experiences of low-income urban youth. Pediatrics, 134(1), e13–e20.
Widom, C. S., Weiler, B. L., & Cottler, L. B. (1999). Childhood victimization and drug abuse: a comparison of prospective and retrospective findings. Journal of Consulting Clinical Psychology, 67(6), 867–880.
Williams, D. R. (2012). Miles to go before we sleep: racial inequities in health. Journal of Health and Social Behavior, 53, 279–295.
Yancura, L. A., & Aldwin, C. M. (2009). Stability and change in retrospective reports of childhood experiences over a 5-year period: findings from the Davis Longitudinal Study. Psychology and Aging, 24(3), 715.
Funding
This work was supported by the National Heart, Lung, Blood Institute (R01 HL118045), the National Institute on Child Health and Human Development (R01 HD080749), the National Institute on Aging (R01 AG055393), the National Institute on Drug Abuse (R21 DA034457), the National Institute of Mental Health (R01 MH62699, R01 MH62666), and the Center for Disease Control (1 R49 CE003095-01). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health and the Center for Disease Control. Research Fellowship support for this project was also provided to the first author by the Obermann Center for Advanced Studies at the University of Iowa.
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M.T.B. conceived of the study and drafted the manuscript; M.K.L. conceived of the study, participated in the construction of measures, statistical analysis, and drafted the manuscript; R.L.S., L.G.S., and S.R.B. made substantive contributions to the manuscript regarding interpretation of the findings. All authors read and approved the final manuscript.
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Appendices
Appendix 1: Measures of Childhood Adversity across Retrospective and Prospective Reports
Items | Retrospective measures | Prospective measures |
---|---|---|
1 | I didn’t have enough to eat at home | My family did not have enough money to afford the kind of food we need |
2 | I had to wear old or dirty clothes or clothes that did not fit | My family did not have enough money to afford the kind of clothing we need |
3 | People in my family hit me so hard that it left me with bruises or marks | My parents slap or hit me hard |
4 | I was punished with a belt, a board, a cord, or some other object | My parents hit me with a belt, a paddle, or something else |
5 | There was a lot of violence in my neighborhood | There was a lot of violent crime in my neighborhood |
6 | There was a lot of graffiti and run-down buildings in my neighborhood | In my neighborhood, there was graffiti on buildings and walls |
7 | A family member was the victim of a crime | A family member was a victim of a violent crime |
8 | Did your parents separate or divorce? | Did your parents separate or divorce? |
9 | Someone said something insulting to you because of your race or ethnic background | Someone said something insulting to you because of your race or ethnic background |
10 | Members of your family or close friends were treated unfairly | Members of your family or close friends were treated unfairly |
Appendix 2: Regression Models Predicting Logged C-reactive Protein and Self-Reported Chronic Diseases in Adulthood
C-reactive protein | Chronic diseases | |||
---|---|---|---|---|
b | β | b | β | |
Childhood adversity (prospective) | 0.007 (0.017) | 0.020 | 0.044 (0.022) | 0.092 |
Childhood adversity (retrospective) | −0.004 (0.016) | −0.012 | 0.085** (0.020) | 0.199 |
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Berg, M.T., Lei, MK., Beach, S.R. et al. Childhood Adversities as Determinants of Cardiovascular Disease Risk and Perceived Illness Burden in Adulthood: Comparing Retrospective and Prospective Self-Report Measures in a Longitudinal Sample of African Americans. J Youth Adolescence 49, 1292–1308 (2020). https://doi.org/10.1007/s10964-020-01207-z
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DOI: https://doi.org/10.1007/s10964-020-01207-z