Pathways between childhood/adolescent adversity, adolescent socioeconomic status, and long-term cardiovascular disease risk in young adulthood

Jenalee R Doom, Susan M Mason, Shakira F Suglia, Cari Jo Clark, Jenalee R Doom, Susan M Mason, Shakira F Suglia, Cari Jo Clark

Abstract

Objective: The current study investigated mediators between childhood/adolescent adversities (e.g., dating violence, maltreatment, homelessness, and parental death), low socioeconomic status (SES) during adolescence, and cardiovascular disease (CVD) risk in young adulthood. The purpose of these analyses was to understand whether SES during adolescence and childhood/adolescent adversities affect CVD risk through similar pathways, including maternal relationship quality, health behaviors, financial stress, medical/dental care, educational attainment, sleep problems, and depressive symptoms.

Methods: Using the National Longitudinal Study of Adolescent to Adult Health (N = 14,493), which has followed US adolescents (Wave 1; M = 15.9 years) through early adulthood (Wave 4; M = 28.9 years), associations were examined between childhood/adolescent adversity and SES to 30-year CVD risk in young adulthood. The outcome was a Framingham-based prediction model of CVD risk that included age, sex, body mass index, smoking, systolic blood pressure, diabetes, and antihypertensive medication use at Wave 4. Path analysis was used to examine paths through the adolescent maternal relationship to young adult mediators of CVD risk.

Results: Childhood/adolescent adversity significantly predicted greater adult CVD risk through the following pathways: maternal relationship, health behaviors, financial stress, lack of medical/dental care, and educational attainment; but not through depressive symptoms or sleep problems. Lower SES during adolescence significantly predicted greater adult CVD risk through the following pathways: health behaviors, financial stress, lack of medical/dental care, and educational attainment, but not maternal relationship, depressive symptoms, or sleep problems.

Conclusions: Childhood/adolescent adversities and SES affected CVD risk in young adulthood through both similar and unique pathways that may inform interventions.

Keywords: Add Health; Adolescence; Adversity; CVD; Socioeconomic status; United States; Young adulthood.

Copyright © 2017 Elsevier Ltd. All rights reserved.

Figures

Fig. 1
Fig. 1
Model tested in Mplus. Solid blue lines indicate direct paths between W1, W3, and W4 variables. Dashed red lines indicate direct paths that involve the addition of W1 maternal relationship as a mediator between SES → CVD risk and adversity → CVD risk. All direct and indirect paths from SES and adversity to CVD risk were tested. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 2
Fig. 2
Variables related to adult CVD risk with associated standardized estimates (β). This standardized estimate was the amount of change in Y per standard deviation unit of X. All paths reported were direct effects, *p < 0.05, **p < 0.01, ***p < 0.001. See online supplement for information on waves of data collection for childhood/adolescent adversities.

References

    1. Anda RF, Dong M, Brown DW, Felitti VJ, Giles WH, Perry GS, et al. The relationship of adverse childhood experiences to a history of premature death of family members. BMC public health. 2009;9:106.
    1. Berry JD, Liu K, Folsom AR, Lewis CE, Carr JJ, Polak JF, et al. Prevalence and progression of subclinical atherosclerosis in younger adults with low short-term but high lifetime estimated risk for cardiovascular disease. Circulation. 2009;119:382–389.
    1. Bonomi AE, Thompson RS, Anderson M, Reid RJ, Carrell D, Dimer JA, et al. Intimate partner violence and Women's physical, mental, and social functioning. Am J Prev Med. 2006;30:458–466.
    1. Carroll JE, Gruenewald TL, Taylor SE, Janicki-Deverts D, Matthews KA, Seeman TE. Childhood abuse, parental warmth, and adult multisystem biological risk in the Coronary Artery Risk Development in Young Adults study. Proc Natl Acad Sci. 2013;110:17149–17153.
    1. Chantala K, Tabor J. National Longitudinal Study of Adolescent Health: Strategies to Perform a Design-based Analysis Using the Add Health Data 1999
    1. Clark CJ, Alonso A, Spencer RA, Pencina M, Williams K, Everson-Rose SA. Predicted long-term cardiovascular risk among young adults in the national longitudinal study of adolescent health. Am J Public Health. 2014;104:e108–e115.
    1. Cohen S, Janicki-Deverts D, Chen E, Matthews KA. Childhood socioeconomic status and adult health. Ann N Y Acad Sci. 2010;1186:37–55.
    1. Conger RD, Ge X, Elder GH, Lorenz FO, Simons RL. Economic stress, coercive family process, and developmental problems of adolescents. Child Dev. 1994;65:541–561.
    1. de Wolff MS, van Ijzendoorn MH. Sensitivity and attachment: a meta-analysis on parental antecedents of infant attachment. Child Dev. 1997;68:571–591.
    1. Deutsch AR, Crockett LJ, Wolff JM, Russell ST. Parent and peer pathways to adolescent delinquency: variations by ethnicity and neighborhood context. J youth Adolesc. 2012;41:1078–1094.
    1. Doom JR, Gunnar MR. Stress physiology and developmental psychopathology: past, present and future. Dev Psychopathol. 2013;25
    1. Doom JR, Gunnar MR, Clark CJ. Maternal relationship during adolescence predicts cardiovascular disease risk in adulthood. Health Psychol. 2016;35:376.
    1. Dornbusch SM, Ritter PL, Leiderman PH, Roberts DF, Fraleigh MJ. The relation of parenting style to adolescent school performance. Child Dev. 1987;58(5):1244–1257.
    1. Entzel P, Whitsel EA, Richardson A, Tabor J, Hallquist S, Hussey J, et al. Cardiovascular and Anthropometric Measures. 2009 .
    1. Felitti VJ, Anda RF, Nordenberg D, Williamson DF, Spitz AM, Edwards V, et al. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: the adverse childhood experiences (ACE) study. Am J Prev Med. 1998;14:245–258.
    1. Gidding SS, McMahan CA, McGill HC, Colangelo LA, Schreiner PJ, Williams OD, et al. Prediction of coronary artery calcium in young adults using the Pathobiological Determinants of Atherosclerosis in Youth (PDAY) risk score: the CARDIA study. Archives Intern Med. 2006;166:2341–2347.
    1. Glasgow KL, Dornbusch SM, Troyer L, Steinberg L, Ritter PL. Parenting styles, adolescents' attributions, and educational outcomes in nine heterogeneous high schools. Child Dev. 1997;68:507–529.
    1. Harris KM. The Add Health Study: Design and Accomplishments. Chapel Hill Carolina Population Center, University of North Carolina at Chapel Hill; 2013.
    1. Harris KM, Halpern CT, Whitsel E, Hussey J, Tabor J, Entzel P, et al. The National Longitudinal Study of Adolescent Health: Research Design. 2009 Available at: .
    1. Heidenreich PA, Trogdon JG, Khavjou OA, Butler J, Dracup K, Ezekowitz MD, et al. Forecasting the future of cardiovascular disease in the United States. Circulation. 2011;123:933–944.
    1. Hoyert DL, Xu J. Deaths: preliminary data for 2011. Natl Vital Stat Rep. 2012;61:1–51.
    1. Kannel WB, Feinleib M, McNamara PM, Garrison RJ, Castelli WP. An investigation of coronary heart disease in families the Framingham offspring study. Am J Epidemiol. 1979;110:281–290.
    1. Kittleson MM, Meoni LA, Wang NY, Chu AY, Ford DE, Klag MJ. Association of childhood socioeconomic status with subsequent coronary heart disease in physicians. Archives Intern Med. 2006;166:2356–2361.
    1. Laing ST, Smulevitz B, Vatcheva KP, Rentfro AR, McPherson DD, Fisher-Hoch SP, et al. High prevalence of subclinical atherosclerosis by carotid ultrasound among mexican Americans: discordance with 10-year risk assessment using the Framingham risk score. Echocardiography. 2012;29:1224–1232.
    1. Leventhal T, Brooks-Gunn J. The neighborhoods they live in: the effects of neighborhood residence on child and adolescent outcomes. Psychol Bull. 2000;126:309.
    1. Levey EJ, Gelaye B, Bain P, Rondon MB, Borba CP, Henderson DC, et al. A systematic review of randomized controlled trials of interventions designed to decrease child abuse in high-risk families. Child Abuse Negl. 2017;65:48–57.
    1. Loria CM, Liu K, Lewis CE, Hulley SB, Sidney S, Schreiner PJ, et al. Early adult risk factor levels and subsequent coronary artery calcification: the CARDIA study. J Am Coll Cardiol. 2007;49:2013–2020.
    1. Lupien SJ, McEwen BS, Gunnar MR, Heim C. Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nat Rev Neurosci. 2009;10:434–445.
    1. MacMillan HL, Wathen CN, Barlow J, Fergusson DM, Leventhal JM, Taussig HN. Interventions to prevent child maltreatment and associated impairment. Lancet. 2009;373:250–266.
    1. McLoyd VC. The impact of economic hardship on Black families and children: psychological distress, parenting, and socioemotional development. Child Dev. 1990;61:311–346.
    1. McLoyd VC, Jayaratne TE, Ceballo R, Borquez J. Unemployment and work interruption among African American single mothers: effects on parenting and adolescent socioemotional functioning. Child Dev. 1994;65:562–589.
    1. Miller GE, Chen E, Parker KJ. Psychological stress in childhood and susceptibility to the chronic diseases of aging: moving towards a model of behavioral and biological mechanisms. Psychol Bull. 2011a;137:959–997.
    1. Miller GE, Lachman ME, Chen E, Gruenewald TL, Karlamangla AS, Seeman TE. Pathways to resilience: maternal nurturance as a buffer against the effects of childhood poverty on metabolic syndrome at midlife. Psychol Sci. 2011b;22:1591–1599.
    1. Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Executive summary: heart disease and stroke Statistics-2016 update: a report from the american heart association. Circulation. 2016;133:447.
    1. Newman AB, Spiekerman CF, Md PE, Lefkowitz D, Manolio T, Reynolds CF, et al. Daytime sleepiness predicts mortality and cardiovascular disease in older adults. J Am Geriatrics Soc. 2000;48:115–123.
    1. Pencina MJ, D'Agostino RB, Larson MG, Massaro JM, Vasan RS. Predicting the 30-year risk of cardiovascular disease. Circulation. 2009;119:3078–3084.
    1. Pollitt RA, Rose KM, Kaufman JS. Evaluating the evidence for models of life course socioeconomic factors and cardiovascular outcomes: a systematic review. BMC Public Health. 2005;5:7.
    1. Repetti RL, Taylor SE, Seeman TE. Risky families: family social environments and the mental and physical health of offspring. Psychol Bull. 2002;128:330–366.
    1. Scott KM, Von Korff M, Angermeyer MC, Benjet C, Bruffaerts R, De Girolamo G, et al. Association of childhood adversities and early-onset mental disorders with adult-onset chronic physical conditions. Archives General Psychiatry. 2011;68:838–844.
    1. Shonkoff JP, Garner AS, Siegel BS, Dobbins MI, Earls MF, McGuinn L, et al. The lifelong effects of early childhood adversity and toxic stress. Pediatrics. 2012;129:e232–e246.
    1. Steptoe A, Kivimäki M. Stress and cardiovascular disease: an update on current knowledge. Annu Rev public health. 2013;34:337–354.
    1. Tabor J, Whitsel E. Add Health Wave IV Documentation: Precription Medication Use. Carolina Population Center, University of North Carolina at Chapel Hill; 2010.
    1. Taylor SE. Mechanisms linking early life stress to adult health outcomes. Proc Natl Acad Sci. 2010;107:8507–8512.
    1. Trejos-Castillo E, Vazsonyi AT. Risky sexual behaviors in first and second generation Hispanic immigrant youth. J youth Adolesc. 2009;38:719–731.
    1. Whitsel EA, Tabor JW, Nguyen QC, Cuthbertson CC, Wener MH, Potter AJ, et al. Add Health Wave IV: Documentation Report Measures of Glucose Homeostasis. 2012 Available at: .
    1. Wolff JM, Crockett LJ. The role of deliberative decision making, parenting, and friends in adolescent risk behaviors. J youth Adolesc. 2011;40:1607–1622.

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