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The impact of allostatic load on maternal sympathovagal functioning in stressful child contexts: Implications for problematic parenting

Published online by Cambridge University Press:  15 July 2011

Melissa L. Sturge-Apple*
Affiliation:
University of Rochester
Michael A. Skibo
Affiliation:
University of Rochester
Fred A. Rogosch
Affiliation:
Mt. Hope Family Center, University of Rochester
Zeljko Ignjatovic
Affiliation:
University of Rochester
Wendi Heinzelman
Affiliation:
University of Rochester
*
Address correspondence and reprint requests to: Melissa Sturge-Apple, Department of Clinical and Social Sciences in Psychology, University of Rochester, Rochester, New York, 14627; E-mail: [email protected].

Abstract

The present study applies an allostatic load framework to an examination of the relationship between maternal psychosocial risk factors and maladaptive parenting behaviors. Specifically, the implications of low socioeconomic status and maternal depressive symptoms for maternal sympathovagal functioning during young children's distress were examined, as well as whether that functioning was, in turn, associated with maternal insensitivity, hostility, intrusiveness, and disengagement during mother–child dyadic interaction. Consistent with an allostatic framework, three patterns of sympathovagal functioning were expected to emerge: normative arousal, hyperarousal, and hypoarousal profiles. Furthermore, meaningful associations between maternal psychosocial risk factors, maladaptive parenting behaviors, and the three profiles of sympathovagal functioning were anticipated. Participants included 153 mother–toddler dyads recruited proportionately from lower and middle socioeconomic status backgrounds. Mothers’ sympathovagal response to their child's distress was assessed during the Strange Situation paradigm, and mothers’ parenting behavior was assessed during a dyadic free-play interaction. As hypothesized, normative arousal, hyperarousal, and hypoarousal profiles of maternal sympathovagal functioning were identified. Maternal depressive symptomatology predicted the hyperarousal profile, whereas socioeconomic adversity predicted hypoarousal. Moreover, allostatic load profiles were differentially associated with problematic parenting behaviors. These findings underscore the role of physiological dysregulation as a mechanism in the relationship between proximal risk factors and actual maladaptive parenting behaviors.

Type
Articles
Copyright
Copyright © Cambridge University Press 2011

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References

Ainsworth, M. D. S., Blehar, M. C., Waters, E., & Wall, S. (1978). Patterns of attachment: A psychological study of the strange situation. Hillsdale, NJ: Erlbaum.Google Scholar
Ainsworth, M. D. S., & Wittig, B. A. (1969). Attachment and exploratory behaviour of one-year-olds in a strange situation. In Foss, B. M. (Ed.), Determinants of infant behaviour (Vol. 4, pp. 113136). London: Methuen.Google Scholar
Appelhans, B. M., & Luecken, L. J. (2006). Heart rate variability as an index of regulated emotional responding. Review of General Psychology, 10, 229240.CrossRefGoogle Scholar
Baumrind, D. (1968). Authoritarian vs. authoritative parental control. Adolescence, 3, 255272.Google Scholar
Beck, A. T., Steer, R. A., Ball, R., & Ranieri, W. F. (1996). Comparison of Beck Depression Inventories-IA and -II in psychiatric outpatients. Journal of Personality Assessment, 67, 588597.CrossRefGoogle Scholar
Belsky, J., & Jaffee, S. R. (2006). The multiple determinants of parenting. In Cicchetti, D. & Cohen, D. J. (Eds.), Developmental psychopathology: Vol. 3. Risk, disorder, and adaptation (2nd ed., pp. 3885). Hoboken, NJ: Wiley.Google Scholar
Belsky, J., & Vondra, J. (1989). Lessons from child abuse: The determinants of parenting. In Cicchetti, D. & Carlson, V. (Eds.), Child maltreatment: Theory and research on the causes and consequences of child abuse and neglect (pp. 153202). New York: Cambridge University Press.CrossRefGoogle Scholar
Berntson, G. G., Bigger, J. T., Eckberg, D. L., Grossman, P., Kaufmann, P. G., Malik, M., et al. (1997). Heart rate variability: Origins, methods, and interpretive caveats. Psychophysiology, 34, 623648.CrossRefGoogle ScholarPubMed
Bradley, R. H., & Corwyn, R. F. (2003). Age and ethnic variations in family process mediators of SES. In Bornstein, M. H. & Bradley, R. H. (Eds.), Socioeconomic status, parenting, and child development (pp. 161188). Mahwah, NJ: Erlbaum.Google Scholar
Bridges, R. S. (2008). Neurobiology of the parental brain. Burlington, MA: Academic Press.Google Scholar
Bugental, D. B., Olster, D. H., & Martorell, G. A. (2002). A developmental neuroscience perspective on the dynamics of parenting. In Kuczynski, L. (Ed.), Handbook of dynamics in parent–child relations (pp. 2548). Thousand Oaks, CA: Sage.Google Scholar
Carney, R. M., Freedland, K. E., & Veith, R. C. (2005). Depression, the autonomic nervous system, and coronary heart disease. Psychosomatic Medicine, 67, 2933.CrossRefGoogle ScholarPubMed
Chen, L., Ba, H., Ignjatovic, Z., Heinzelman, W., & Sturge-Apple, M. L.Adaptive matched filtering for improved R-R interval detection in noisy ECG signals. Unpublished manuscript.Google Scholar
Cicchetti, D., & Carlson, V. (Eds.). (1989). Child maltreatment: Theory and research on the causes and consequences of child abuse and neglect. New York: Cambridge University Press.CrossRefGoogle Scholar
Crnic, K. A., & Greenberg, M. T. (1990). Minor parenting stresses with young children. Child Development, 61, 16281637.CrossRefGoogle ScholarPubMed
Deater-Deckard, K., Sewell, M. D., Petrill, S. A., & Thompson, L. A. (2010). Maternal working memory and reactive negativity in parenting. Psychological Science, 21, 7579.CrossRefGoogle ScholarPubMed
Del Vecchio, T., Walter, A. L., & O'Leary, S. G. (2009). Affective and physiological factors predicting maternal response to infant crying. Infant Behavior and Development, 32, 117122.CrossRefGoogle ScholarPubMed
Donovan, W. L., Leavitt, L. A., & Balling, J. D. (1978). Maternal physiological response to infant signals. Psychophysiology, 15, 6874.CrossRefGoogle ScholarPubMed
Dowd, J. B., Simanek, A. M., & Aiello, A. E. (2009). Socio-economic status, cortisol and allostatic load: A review of the literature. International Journal of Epidemiology, 38, 12971309.CrossRefGoogle ScholarPubMed
Downey, G., & Coyne, J. C. (1990). Children of depressed parents: An integrative review. Psychological Bulletin, 108, 5076.CrossRefGoogle ScholarPubMed
Edwards, C. P., & Liu, W. (2002). Parenting toddlers. In Bornstein, M. H. (Ed.), Handbook of parenting: Vol. 1. Children and parenting (2nd ed., pp. 4571). Mahwah, NJ: Erlbaum.Google Scholar
El-Sheikh, M., Kouros, C. D., Erath, S., Cummings, E. M., Keller, P., Staton, L., et al. (2009). Marital conflict and children's externalizing behavior: Interactions between parasympathetic and sympathetic nervous system activity. Monographs of the Society for Research in Child Development, 74, 169.Google ScholarPubMed
Enders, C. (2001). A primer on maximum likelihood algorithms for use with missing data. Structural Equation Modeling: A Multidisciplinary Journal, 8, 128141.CrossRefGoogle Scholar
Engle, R. F. (1983). Wald, likelihood ratio, and lagrange multiplier tests in econometrics. In Intriligator, M. D. & Griliches, Z. (Eds.), Handbook of econometrics. II (pp. 796801). North Holland, Amsterdam: Elsevier.Google Scholar
Evans, G. W., Kim, P., Ting, A. H., Tesher, H. B., & Shannis, D. (2007). Cumulative irsk, maternal responsiveness, and allostatic load among young adolescents. Developmental Psychology, 43, 341351.CrossRefGoogle Scholar
Evans, G. W., & Schamberg, M. A. (2009). Childhood poverty, chronic stress, and adult working memory. Proceedings of the National Academy of Sciences of the United States of America, 106, 65456549.CrossRefGoogle ScholarPubMed
Farah, M. J., Noble, K. G., and Hurt, H. (2005). Poverty, privilege and brain development: Emprical findings and ethical implications. In Illes, J. (Ed.), Neuroethics in the 21st century. New York: Oxford University Press.Google Scholar
Gallo, L. C., & Luecken, L. J. (2008). Physiological research methods in health psychology: Applications of the biopsychosocial model. In Luecken, L. J. & Gallo, L. C. (Eds.), Handbook of physiological research methods in health psychology (pp. 39). Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
Goodman, S., & Brumley, H. E. (1990). Schizophrenic and depressed mothers: Relational deficits in parenting. Developmental Psychology, 26, 3139.CrossRefGoogle Scholar
Goodman, S. H., & Gotlib, I. H. (Eds.). (2002). Children of depressed parents: Alternative pathways to risk for psychopathology. Washington, DC: American Psychological Association Press.Google Scholar
Hall, M., Vasko, R., Buysse, D., Daniel, O., Hernando, C., Chen, X., et al. (2004). Acute stress affects heart rate variability during sleep. Psychosomatic Medicine, 66, 5662.CrossRefGoogle ScholarPubMed
Heim, C., Elhert, U., & Hellhammer, D. H. (2000). The potential role of hypocortisolism in the pathophysiology of stress-related bodily disorders. Psychoneuroendocrinology, 25, 135.CrossRefGoogle ScholarPubMed
Hill-Soderlund, A. L., Mills-Koonce, W. R., Propper, C., Calkins, S. D., Granger, D. A., Moore, G. A., et al. (2009). Parasympathetic and sympathetic responses to the strange situation in infants and mothers from avoidant and securely attached dyads. Developmental Psychobiology, 50, 361376.CrossRefGoogle Scholar
Honaker, J., King, G., & Blackwell, M. (2009). Amelia II: A program for missing data (Version 1.2-13) [Computer software]. Retrieved from http://gking.harvard.edu/amelia/Google Scholar
Jovanov, E. (2008). Real-time monitoring of spontaneous resonance in heart rate variability. Paper presented at the 30th Annual Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, August 20–24.CrossRefGoogle Scholar
Juster, R. P., McEwen, B. S., & Lupien, S. J. (2010). Allostatic load biomarkers of chronic stress and impact on health and cognition. Neuroscience & Biobehavioral Reviews, 35, 216.CrossRefGoogle ScholarPubMed
Lake, C. R., Pickar, D., Ziegler, M. G., Lipper, S., Slater, S., & Murphy, D. L. (1982). High plasma NE levels in patients with major affective disorder. American Journal of Psychiatry, 139, 13151318.Google Scholar
Li, F., Duncan, T. E., Duncan, S. C., & Acock, A. (2001). Latent growth modeling of longitudinal data: A finite growth mixture modeling approach. Structural Equation Modeling, 4, 493530.CrossRefGoogle Scholar
Little, R. J. A. (1988). A test of missing completely at random for multivariate data with missing values. Journal of American Statistical Association, 83, 11981202.CrossRefGoogle Scholar
Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88, 767778.CrossRefGoogle Scholar
Lorber, M. G., & O'Leary, S. G. (2005). Predicting overreactive discipline: Mediated cognitive, affective, and psychophysiological processes. Journal of Consulting and Clinical Psychology, 73, 972981.CrossRefGoogle Scholar
Lovejoy, M. C., Graczyk, P. A., O'Hare, E. O., & Neuman, G. (2000). Maternal depression and parenting behavior: A meta-analytic review. Clinical Psychology Review, 20, 561592.CrossRefGoogle ScholarPubMed
Luecken, L. J., & Gallo, L. C. (2008). Handbook of physiological research methods in health psychology. Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
Maccoby, E. E., & Martin, J. A. (1983). Socialization in the context of the family: Parent–child interaction. In Mussen, P. H. (Series Ed.) & Mussen, P. H. (Vol. Ed.), Handbook of child psychology: Vol. 4. Socialization, personality, and social development (4th ed., pp. 1101). New York: Wiley.Google Scholar
McArdle, J. J., & Epstein, D. (1987). Latent growth curves within developmental structural equation models. Child Development, 58, 110133.CrossRefGoogle ScholarPubMed
McEwen, B. S. (2002). Sex, stress and the hippocampus: Allostasis, allostatic load and the aging process. Neurobiology of Aging, 23, 921939.CrossRefGoogle ScholarPubMed
McEwen, B. S., & Wingfield, J. C. (2003). The concept of allostasis in biology and biomedicine. Hormones & Behavior, 43, 215.CrossRefGoogle ScholarPubMed
McLoyd, V. C. (1998). Socioeconomic disadvantage and child development. American Psychologist, 53, 185204.CrossRefGoogle ScholarPubMed
McLoyd, V. C., Jayaratne, T. E., Ceballo, R., & Borquez, J. (1994). Unemployment and work interruption among African American single mothers: Effects on parenting and adolescent socioemotional functioning. Child Development, 65, 562589.CrossRefGoogle ScholarPubMed
Melby, J. N., & Conger, R. D. (2001). The Iowa Family Interaction Rating Scales: Instrument summary. In Kerig, P. K. & Lindahl, K. M. (Eds.), Family observational coding systems: Resources for systemic research (pp. 3358). Philadelphia, PA: Brunner/Mazel.Google Scholar
Meredith, W., & Tisak, J. (1990). Latent curve analysis. Psychometrika 55, 107122.CrossRefGoogle Scholar
Mills-Koonce, W. R., Propper, C., Gariepy, J. L., Barnett, M., Moore, G., Calkins, S., et al. (2009). Psychophysiological correlates of parenting behavior in mothers of young children. Developmental Psychobiology, 51, 650661.CrossRefGoogle ScholarPubMed
Mistry, R. S., Biesanz, J. C., Taylor, L. C., Burchinal, M., & Cox, M. J. (2004). Family income and its relation to preschool children's adjustment for families in the NICHD study of early child care. Developmental Psychology, 40, 727745.CrossRefGoogle ScholarPubMed
Muthén, B. O. (2004). Latent variable analysis: Growth mixture modeling and related techniques for longitudinal data. In Kaplan, D. (Ed.), Handbook of quantitative methodology for the social sciences (pp. 345368). Newbury Park, CA: Sage.Google Scholar
Muthén, L., & Muthén, B. O. (2006). MPlus [Computer program]. Los Angeles: Author.Google Scholar
Nylund, K. L., Asparouhov, T., & Muthen, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling, 14, 535569.CrossRefGoogle Scholar
Pomeranz, B., Macaulay, R. J., Caudill, M. A., Kutz, I. A. D., Gordon, D., Kilborn, K. M., et al. (1985). Assessment of autonomic function in humans by heart rate spectral analysis. American Journal of Physiology, 248, H151H153.Google ScholarPubMed
Porges, S. W. (2006). The polyvagal perspective. Biological Psychology, 74, 116143.CrossRefGoogle ScholarPubMed
Quigley, K. S., & Stifter, C. A. (2006). A comparative validation of sympathetic reactivity in children and adults. Psychophysiology, 43, 357365.CrossRefGoogle ScholarPubMed
Ram, N., & Grimm, K. J. (2007). Using simple and complex growth models to articulate developmental change: Matching method to theory. International Journal of Behavioral Development, 31, 303316.CrossRefGoogle Scholar
Ram, N., & Grimm, K. J. (2009). Growth mixture modeling: A method for identifying differences in longitudinal change among unobserved groups. International Journal of Behavioral Development, 33, 565576.CrossRefGoogle ScholarPubMed
Repetti, R., Wang, S., & Saxbe, D. (2009). Bringing it all back home: How outside stressors shape families’ everyday lives. Current Directions in Psychological Science, 18, 106111.CrossRefGoogle Scholar
Repetti, R. L., Taylor, S. E., & Seeman, T. E. (2002). Risky families: Family social environments and the mental and physical health of offspring. Psychological Bulletin, 128, 330366.CrossRefGoogle ScholarPubMed
Schlomer, G. L., Bauman, S., & Card, N. A. (2010). Best practices for missing data management in counseling psychology. Journal of Counseling Psychology, 57, 110.CrossRefGoogle ScholarPubMed
Schwarz, G. E. (1978). Estimating the dimension of a model. Annals of Statistics, 6, 461464.CrossRefGoogle Scholar
Seeman, T., Epel, E., Gruenewald, T., Karlamangla, A., & McEwen, B. S. (2010). Socio-economic differentials in peripheral biology: Cumulative allostatic load. Annals of the New York Academy of Sciences, 1186, 223229.CrossRefGoogle ScholarPubMed
Segal, D. L., Coolidge, F. L., Cahill, B. S., & O'Riley, A. A. (2008). Psychometric properties of the Beck Depression Inventory-II (BDI-II) among community-dwelling older adults. Behavior Modification, 32, 320.CrossRefGoogle ScholarPubMed
Sloan, R. P., Shapiro, P. A., Bagiella, A., Boni, S. M., Paik, M., Bigger, J. T., et al. (1994). Effect of mental stress throughout the day on cardiac autonomic control. Biological Psychology, 37, 8999.CrossRefGoogle ScholarPubMed
Sturge-Apple, M. L., Davies, P. T., Cicchetti, D., & Cummings, E. M. (2009). The role of mothers’ and fathers’ adrenocortical reactivity in spillover between interparental conflict and parenting practices. Journal of Family Psychology, 2, 215225.CrossRefGoogle Scholar
Sturge-Apple, M. L., Davies, P. T., & Cummings, E. M. (2006a). Hostility and withdrawal in marital conflict: Effects on parental emotional unavailability and inconsistent discipline. Journal of Family Psychology, 20, 227238.CrossRefGoogle ScholarPubMed
Sturge-Apple, M. L., Davies, P. T., & Cummings, E. M. (2006b). Impact of hostility and withdrawal in interparental conflict on parental emotional unavailability and children's adjustment difficulties. Child Development, 77, 16231641.CrossRefGoogle ScholarPubMed
Task Force. (1996). Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. European Heart Journal, 17, 354381.CrossRefGoogle Scholar
Tomaka, J., Blascovich, J., Kibler, J., & Ernst, J. M. (1997). Cognitive and physiological antecedents of threat and challenge appraisal. Journal of Personality and Social Psychology, 73, 6372.CrossRefGoogle ScholarPubMed
Veith, R. C., Lewis, N., Linares, O. A., Barnes, R. F., Raskind, M. A., Villacres, E. C., et al. (1994). Sympathetic nervous system activity in major depression. Archives of General Psychiatry, 51, 411422.CrossRefGoogle ScholarPubMed