Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-08T07:48:15.304Z Has data issue: false hasContentIssue false

Marital conflict, respiratory sinus arrhythmia, and allostatic load: Interrelations and associations with the development of children's externalizing behavior

Published online by Cambridge University Press:  15 July 2011

Mona El-Sheikh*
Affiliation:
Auburn University
J. Benjamin Hinnant
Affiliation:
Auburn University
*
Address correspondence and reprint requests to: Mona El-Sheikh, Human Development and Family Studies, 203 Spidle Hall, Auburn University, Auburn, AL 36849-5214; E-mail: [email protected].

Abstract

Allostatic load theory hypothesizes that stress and the body's responses to stressors contribute to longer term physiological changes in multiple systems over time (allostasis), and that shifts in how these systems function have implications for adjustment and health. We investigated these hypotheses with longitudinal data from two independent samples (n = 413; 219 girls, 194 boys) with repeated measures at ages 8, 9, 10, and 11. Initial parental marital conflict and its change over time indexed children's exposure to an important familial stressor, which was examined in interaction with children's respiratory sinus arrhythmia (RSA) reactivity to laboratory tasks (stress response) to predict children's basal levels of RSA over time. We also investigated children's sex as an additional possible moderator. Our second research question focused on examining whether initial levels and changes in resting RSA over time predicted children's externalizing behavior. Boys with a strong RSA suppression response to a frustrating laboratory task who experienced higher initial marital conflict or increasing marital conflict over time showed decreases in their resting RSA over time. In addition, boys' initial resting RSA (but not changes in resting RSA over time) was negatively related to change over time in externalizing symptoms. Findings for girls were more mixed. Results are discussed in the context of developmental psychobiology, allostatic load, and implications for the development of psychopathology.

Type
Articles
Copyright
Copyright © Cambridge University Press 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage.Google Scholar
Alkon, A., Lippert, S., Vujan, N., Rodriguez, M. E., Boyce, W. T., & Eskenazi, B. (2006). The ontogeny of autonomic measures in 6- and 12-month-old infants. Developmental Psychobiology, 48, 197208.CrossRefGoogle ScholarPubMed
Bar-Haim, Y., Marshall, P. J., & Fox, N. A. (2000). Developmental changes in heart period and high-frequency heart period variability from 4 months to 4 years of age. Developmental Psychobiology, 37, 4456.3.0.CO;2-7>CrossRefGoogle ScholarPubMed
Bauer, D. J., & Curran, P. J. (2003). Distributional assumptions of growth mixture models: Implications for overextraction of latent trajectory classes. Psychological Methods, 8, 338363.CrossRefGoogle ScholarPubMed
Beauchaine, T. P., Gatzke-Kopp, L., & Mead, H. K. (2007). Polyvagal theory and developmental psychopathology: Emotion dysregulation and conduct problems from preschool to adolescence. Biological Psychology, 74, 174184.CrossRefGoogle ScholarPubMed
Beauchaine, T. P., Hong, J., & Marsh, P. (2008). Sex differences in autonomic correlates of conduct problems and aggression. Journal of the American Academy of Child & Adolescent Psychiatry, 47, 788796.CrossRefGoogle ScholarPubMed
Beauchaine, T. P., Neuhaus, E., Brenner, S. L., & Gatzke-Kopp, L. (2008). Ten good reasons to consider biological processes in prevention and intervention research. Development and Psychopathology, 20, 745774.CrossRefGoogle ScholarPubMed
Bell, R. Q. (1953). Convergence: An accelerated longitudinal approach. Child Development, 24, 145152.CrossRefGoogle ScholarPubMed
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
Berntson, G. G., Cacioppo, J. T., & Quigley, K. S. (1993). Respiratory sinus arrhythmia: Autonomic origins, physiological mechanisms, and psychophysiological implications. Psychophysiology, 30, 183196.CrossRefGoogle ScholarPubMed
Berthoud, H. R., & Neuhuber, W. L. (2000). Functional and chemical anatomy of the afferent vagal system. Autonomic Neuroscience: Basic and Clinical, 85, 117.CrossRefGoogle ScholarPubMed
Biesanz, J. C., Deeb-Sossa, N., Papadakis, A. A., Bollen, K. A., & Curran, P. J. (2004). The role of coding time in estimating and interpreting growth curve models. Psychological Methods, 9, 3052.CrossRefGoogle ScholarPubMed
Boomsma, D. I., Van Baal, G. C. M., & Orlebeke, J. F. (1990). Genetic influences on respiratory sinus arrhythmia across different task conditions. Acta Geneticae Medicae et Emellologia, 39, 181191.CrossRefGoogle ScholarPubMed
Bornstein, M. H., & Suess, P. E. (2000). Child and mother cardiac vagal tone: Continuity, stability, and concordance across the first 5 years. Developmental Psychology, 36, 5465.CrossRefGoogle ScholarPubMed
Bovaird, J. A. (2007). Multilevel structural equation models for contextual factors. In Little, T. D., Bovaird, J. A., & Card, N. A. (Eds.), Modeling contextual effects in longitudinal studies (pp. 149182). New York: Psychology Press.Google Scholar
Boyce, W. T., & Ellis, B. (2005). Biological sensitivity to context: I. An evolutionary–developmental theory of the origins and functions of stress reactivity. Development and Psychopathology, 7, 271301.Google Scholar
Brody, L. R. (2000). The socialization of gender differences in emotional expression: Display rules, infant temperament, and differentiation. In Fischer, A. H. (Ed.), Gender and emotion: Social psychological perspectives (pp. 2447). New York: Cambridge University Press.CrossRefGoogle Scholar
Browne, M. W., & Cudeck, R. (1993). Testing structural equation models: Alternative ways of assessing model fit. Newbury Park, CA: Sage.Google Scholar
Burchinal, M., Nelson, L., & Poe, M. (2006). Growth curve analysis: An introduction to various methods for analyzing longitudinal data. Monographs of the Society for Research in Child Development, 71, 6587.Google Scholar
Calkins, S. D., Blandon, A. Y., Williford, A. P., & Keane, S. P. (2007). Biological, behavioral, and relational levels of resilience in the context of risk for early childhood behavior problems. Development and Psychopathology, 19, 675700.CrossRefGoogle ScholarPubMed
Calkins, S. D., & Dedmon, S. E. (2000). Physiological and behavioral regulation in two-year-old children with aggressive/destructive behavior problems. Journal of Abnormal Child Psychology, 28, 103118.CrossRefGoogle ScholarPubMed
Calkins, S. D., Dedmon, S. E., Gill, K. L., Lomax, L. E., & Johnson, L. M. (2002). Frustration in infancy: Implications for emotion regulation, physiological processes, and temperament. Infancy, 3, 175197.CrossRefGoogle ScholarPubMed
Calkins, S. D., Graziano, P. A., Berdan, L. E., Keane, S. P., & Degnan, K. A. (2008). Predicting cardiac vagal regulation in early childhood from maternal–child relationship quality during toddlerhood. Developmental Psychobiology, 50, 751766.CrossRefGoogle ScholarPubMed
Calkins, S. D., Graziano, P. A., & Keane, S. P. (2007). Cardiac vagal regulation differentiates among children at risk for behavior problems. Biological Psychology, 74, 144153.CrossRefGoogle ScholarPubMed
Calkins, S. D., & Keane, S. P. (2004). Cardiac vagal regulation across the preschool period: Stability, continuity, and implications for childhood adjustment. Developmental Psychobiology, 45, 101112.CrossRefGoogle ScholarPubMed
Cannon, W. (1929). Organization for physiological homeostasis. Physiological Reviews, 9, 399431.CrossRefGoogle Scholar
Chen, E., Matthews, K. A., Salomon, K., & Ewart, C. K. (2002). Cardiovascular reactivity during social and nonsocial stressors: Do children's personal goals and expressive skills matter? Health Psychology, 21, 1624.CrossRefGoogle ScholarPubMed
Christie, I. C., & Friedman, B. H. (2004). Autonomic specificity of discrete emotion and dimensions of affective space: A multivariate approach. International Journal of Psychophysiology, 51, 143153.CrossRefGoogle ScholarPubMed
Cicchetti, D., & Gunnar, M. R. (2008). Integrating biological measures into the design and evaluation of preventive interventions. Development and Psychopathology, 20, 737743.CrossRefGoogle ScholarPubMed
Cicchetti, D., & Toth, S. L. (2009). The past achievements and future promises of developmental psychopathology: The coming of age of a discipline. Journal of Child Psychology and Psychiatry, 50, 1625.CrossRefGoogle ScholarPubMed
Cole, P. M., Zahn-Waxler, C., Fox, N. A., Usher, B. A., & Welsh, J. D. (1996). Individual differences in emotion regulation and behavior problems in preschool children. Journal of Abnormal Psychology, 105, 518529.CrossRefGoogle ScholarPubMed
Cummings, E. M., & Davies, P. T. (2010). Marital conflict and children: An emotional security perspective. New York: Guilford Press.Google Scholar
Cummings, E. M., El-Sheikh, M., Kouros, C. D., & Buckhalt, J. A. (2009). Children and violence: The role of children's regulation in the marital aggression–child adjustment link. Clinical Child and Family Psychology Review, 12, 315.CrossRefGoogle ScholarPubMed
Curran, P. J., Bauer, D. J., & Willoughby, M. T. (2004). Testing main effects and interactions in latent curve analysis. Psychological Methods, 9, 220237.CrossRefGoogle ScholarPubMed
Curran, P. J., Edwards, M. C., Wirth, R. J., Hussong, A. M., & Chassin, L. (2007). The incorporation of categorical measurement models in the analysis of individual growth. In Little, T. D., Bovaird, J. A., & Card, N. A. (Eds.), Modeling contextual effects in longitudinal studies (pp. 89120). New York: Psychology Press.Google Scholar
Curran, P. J., & Willoughby, M. T. (2003). Implications of latent trajectory models for the study of developmental psychopathology. Development and Psychopathology, 15, 581612.CrossRefGoogle Scholar
Davies, P. T., Sturge-Apple, M. L., Cicchetti, D., & Cummings, E. M. (2008). Adrenocortical underpinnings of children's psychological reactivity to interparental conflict. Child Development, 79, 16931706.CrossRefGoogle ScholarPubMed
Davies, P. T., Sturge-Apple, M. L., Cicchetti, D., Manning, L. G., & Zale, E. (2009). Children's patterns of emotional reactivity to conflict as explanatory mechanisms in links between interpartner aggression and child physiological functioning. Journal of Child Psychology and Psychiatry, 50, 13841391.CrossRefGoogle ScholarPubMed
De Geus, E. J. C., Kupper, N., Boomsma, D. I., & Sneider, H. (2007). Bivariate genetic modeling of cardiovascular stress reactivity: Does stress uncover genetic variance? Psychosomatic Medicine, 69, 356364.CrossRefGoogle ScholarPubMed
Dodge, K. A., Pettit, G. S., & Bates, J. E. (1994). Socialization mediators of the relation between socioeconomic status and child conduct problems. Child Development, 65, 649655.CrossRefGoogle ScholarPubMed
Duncan, S. C., Duncan, T. E., & Hops, H. (1996). Analysis of longitudinal data within accelerated longitudinal designs. Psychological Methods, 1, 236248.CrossRefGoogle Scholar
Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006). An introduction to latent variable growth curve modeling: Concepts, issues, and applications (2nd ed.). Mahwah, NJ: Erlbaum.Google Scholar
Ehrensaft, M. K., & Vivian, D. (1996). Spouses' reasons for not reporting existing marital aggression as a marital problem. Journal of Family Psychology, 10, 443453.Google Scholar
Ellis, B. J., & Boyce, W. T. (2008). Biological sensitivity to context. Current Directions in Psychological Science, 17, 183187.CrossRefGoogle Scholar
El-Sheikh, M. (2001). Parental drinking problems and children's adjustments: Vagal regulation and emotional reactivity as pathways and moderators of risk. Journal of Abnormal Psychology, 110, 499515.CrossRefGoogle ScholarPubMed
El-Sheikh, M. (2005). Stability of respiratory sinus arrhythmia in children and young adolescents: A longitudinal examination. Developmental Psychobiology, 46, 6674.CrossRefGoogle Scholar
El-Sheikh, M., Harger, J., & Whitson, S. (2001). Exposure to parental conflict and children's adjustment and physical health: The moderating role of vagal tone. Child Development, 72, 16171636.CrossRefGoogle ScholarPubMed
El-Sheikh, M., Hinnant, J. B., & Erath, S. (2011). Developmental trajectories of delinquency symptoms in childhood: The role of marital conflict and autonomic nervous system activity. Journal of Abnormal Psychology, 120, 1632.CrossRefGoogle ScholarPubMed
El-Sheikh, M., Keller, P. S., & Erath, S. A. (2007). Marital conflict and risk for child maladjustment over time: Skin conductance level reactivity as a vulnerability factor. Journal of Abnormal Child Psychology, 35, 715727.CrossRefGoogle ScholarPubMed
El-Sheikh, M., Kouros, C. D., Erath, S., Cummings, E. M., Keller, P., & Staton, L. (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(1, Serial No. 292).Google ScholarPubMed
El-Sheikh, M., & Whitson, S. A. (2006). Longitudinal relations between marital conflict and child adjustment: Vagal regulation as a protective factor. Journal of Family Psychology, 20, 3039.CrossRefGoogle Scholar
Fisher, P. A., Stoolmiller, M., Gunnar, M. R., & Burraston, B. O. (2007). Effects of a therapeutic intervention for foster preschoolers on diurnal cortisol activity. Psychoneuroendocrinology, 32, 892905.CrossRefGoogle ScholarPubMed
Galles, S. J., Miller, A., Cohn, J. F., & Fox, N. A. (2002). Estimating parasympathetic control of heart rate variability: Two approaches to quantifying vagal tone. Psychophysiology, 39(Suppl. 1), S37.Google Scholar
Gentzler, A. L., Santucci, A. K., Kovacs, M., & Fox, N. A. (2009). Respiratory sinus arrhythmia reactivity predicts emotion regulation and depressive symptoms in at-risk and control children. Biological Psychology, 82, 156163.CrossRefGoogle ScholarPubMed
Gottman, J. M., & Katz, L. F. (2002). Children's emotional reactions to stressful parent–child interactions. Marriage and Family Review, 34, 265283.CrossRefGoogle Scholar
Grossman, P., & Taylor, E. W. (2007). Toward understanding respiratory sinus arrhythmia: Relations to cardiac vagal tone, evolution and biobehavioral functions. Biological Psychology, 74, 263285.CrossRefGoogle ScholarPubMed
Hastings, P. D., & De, I. (2008). Parasympathetic regulation and parental socialization of emotion: Biopsychosocial processes of adjustment in preschoolers. Social Development, 17, 211238.CrossRefGoogle Scholar
Hastings, P. D., Nuselovici, J. N., Utendale, W. T., Coutya, J., McShane, K. E., & Sullivan, C. (2008). Applying the polyvagal theory to children's emotion regulation: Social context, socialization, and adjustment. Biological Psychology, 79, 299306.CrossRefGoogle ScholarPubMed
Hinnant, J. B., Elmore-Staton, L., & El-Sheikh, M. (2011). Developmental trajectories of respiratory sinus arrhythmia and pre-ejection period in middle childhood. Developmental Psychobiology, 53, 5968.CrossRefGoogle Scholar
Hinnant, J. B., & El-Sheikh, M. (2009). Children's externalizing and internalizing symptoms over time: The role of individual differences in patterns of RSA responding. Journal of Abnormal Child Psychology, 37, 10491061.CrossRefGoogle ScholarPubMed
Hollingshead, A. B. (1975). Four Factor Index of Social Status. Unpublished manuscript.Google Scholar
Juster, R. P., McEwen, B. S., & Lupien, S. J. (2010). Allostatic load biomarkers of chronic stress and impact on health and cognition. Neuroscience and Biobehavioral Reviews, 35, 216.CrossRefGoogle ScholarPubMed
Katz, L. F., & Gottman, J. M. (1995). Vagal tone protects children from marital conflict. Development and Psychopathology, 7, 8392.CrossRefGoogle Scholar
Katz, L. F., & Gottman, J. M. (1997). Buffering children from marital conflict and dissolution. Journal of Clinical Child Psychology, 26, 157171.CrossRefGoogle ScholarPubMed
Keiley, M. K., Martin, N.C., Liu, T., & Dolbin-MacNab, M. (2005). Multi-level modeling in the context of family research. In Sprenkle, D. H. & Pieercy, F. P. (Eds.), Research methods in family therapy (2nd ed., pp. 405431). New York: Guilford Press.Google Scholar
Kertes, D. A., Gunnar, M. R., Madsen, N. J., & Long, J. D. (2008). Early deprivation and home basal cortisol levels: A study of internationally adopted children. Development and Psychopathology, 20, 473491.CrossRefGoogle Scholar
Kitzmann, K. M., Gaylord, N. K., Holt, A. R., & Kenny, E. D. (2003). Child witnesses to domestic violence: A meta-analytic review. Journal of Consulting and Clinical Psychology, 71, 339352.CrossRefGoogle ScholarPubMed
Kreibig, S. D. (2010). Autonomic nervous system activity in emotion: A review. Biological Psychology, 84, 394421.CrossRefGoogle ScholarPubMed
Kupper, N., Willemsen, G., Posthuma, D., De Boer, D., Boomsma, D. I., & De Geus, E. J. C. (2005). A genetic analysis of ambulatory cardiorespiratory coupling. Psychophysiology, 42, 202212.CrossRefGoogle ScholarPubMed
Lachar, D., & Gruber, C. P. (2001). Personality Inventory for Children: Second edition (PIC-2). Los Angeles: Western Psychological Services.Google Scholar
Lance, C. E. (1988). Residual centering, exploratory and confirmatory moderator analysis, and decomposition of effects in path models containing interactions. Applied Psychological Measurement, 12, 163175.CrossRefGoogle Scholar
Lanza, S. T., Rhoades, B. L., Nix, R. L., Greenberg, M. T., & The Conduct Problems Prevention Research Group. (2010). Modeling the interplay of multilevel risk factors for future academic and behavior problems: A person-centered approach. Development and Psychopathology, 22, 313335.CrossRefGoogle ScholarPubMed
Little, T. D., Bovaird, J. A., & Widaman, K. F. (2006). On the merits of orthogonalizing powered and product terms: Implications for modeling interactions among latent variables. Structural Equation Modeling: A Multidisciplinary Journal, 13, 497519.CrossRefGoogle Scholar
Lupien, S. J., Ouellet-Morin, I., Hupbach, A., Tu, M. T., Buss, C., Walker, D., et al. (2006). Beyond the stress concept: Allostatic load—A developmental biological and cognitive perspective. In Cicchetti, D. & Cohen, D. J. (Eds.), Developmental psychopathology: Vol. 2. Developmental neuroscience (2nd ed.). New York: Wiley.Google Scholar
Marsh, P., Beauchaine, T. P., & Williams, B. (2008). Dissociation of sad facial expressions and autonomic nervous system responding in boys with disruptive behavior disorders. Psychophysiology, 45, 100110.CrossRefGoogle ScholarPubMed
Matthews, K. A., Rakaczky, C. J., Stoney, C. M., & Manuck, S. B. (1987). Are cardiovascular responses to behavioral stressors a stable individual difference variable in childhood? Psychophysiology, 24, 464473.CrossRefGoogle ScholarPubMed
Matthews, K. A., Woodall, K. L., & Stoney, C. M. (1990). Changes in and stability of cardiovascular responses to behavioral stress: Results from a four-year longitudinal study of children. Child Development, 61, 11341144.CrossRefGoogle ScholarPubMed
McEwen, B. S., & Stellar, E. (1993). Stress and the individual: Mechanisms leading to disease. Annals of Internal Medicine, 153, 20932102.CrossRefGoogle ScholarPubMed
McEwen, B. S., & Wingfield, J. C. (2003). The concept of allostasis in biology and biomedicine. Hormones and Behavior, 43, 215.CrossRefGoogle ScholarPubMed
Miller, G. E., Chen, E., & Zhou, E. S. (2007). If it goes up, must it come down? Chronic stress and the hypothalamic–pituitary–adrenocortical axis in humans. Psychological Bulletin, 133, 2545.CrossRefGoogle ScholarPubMed
Moore, G. A. (2009). Infants' and mothers' vagal reactivity in response to anger. Journal of Child Psychology and Psychiatry, 50, 13921400.CrossRefGoogle ScholarPubMed
Moore, G. A. (2010). Parent conflict predicts infants' vagal regulation in social interaction. Development and Psychopathology, 22, 2333.CrossRefGoogle ScholarPubMed
Obradovic, J., Bush, N. R., Stamperdahl, J., Adler, N. E., & Boyce, W. T. (2010). Biological sensitivity to context: The interactive effects of stress reactivity and family adversity on socioemotional behavior and school readiness. Child Development, 81, 270289.CrossRefGoogle ScholarPubMed
Oveis, C., Cohen, A. B., Gruber, J., Shiota, M. N., Haidt, J., & Keltner, D. (2009). Resting respiratory sinus arrhythmia is associated with tonic positive emotionality. Emotion, 9, 265270.CrossRefGoogle ScholarPubMed
Parra, G. R., DuBois, D. L., & Sher, K. J. (2006). Investigation of profiles of risk factors for adolescent psychopathology: A person-centered approach. Journal of Clinical Child and Adolescent Psychology, 35, 386402.CrossRefGoogle ScholarPubMed
Porges, S. W. (2007). The polyvagal perspective. Biological Psychology, 74, 116143.CrossRefGoogle ScholarPubMed
Porter, C. L., Wouden-Miller, M., Silva, S. S., & Porter, A. E. (2003). Marital harmony and conflict: Links to infants' emotional regulation and cardiac vagal tone. Infancy, 4, 297307.CrossRefGoogle Scholar
Propper, C. & Moore, G. A. (2006). The influence of parenting on infant emotionality: A multi-level psychobiological perspective. Developmental Review, 26, 427460.CrossRefGoogle Scholar
Salomon, K. (2005). Respiratory sinus arrhythmia during stress predicts resting respiratory sinus arrhythmia 3 years later in a pediatric sample. Health Psychology, 24, 6876.CrossRefGoogle Scholar
Salomon, K., Matthews, K. A., & Allen, M. T. (2000). Patterns of sympathetic and parasympathetic reactivity in a sample of children and adolescents. Psychophysiology, 37, 842849.CrossRefGoogle Scholar
Saper, C. B. (2002). The central autonomic nervous system: Conscious visceral perception and autonomic pattern generation. Annual Review of Neuroscience, 25, 433469.CrossRefGoogle ScholarPubMed
Shanahan, L., Copeland, W., Costello, E. J., & Angold, A. (2008). Specificity of putative psychosocial risk factors for psychiatric disorders in children and adolescents. Journal of Child Psychology and Psychiatry, 49, 3442.CrossRefGoogle ScholarPubMed
Smith, O. A., & DeVito, J. L. (1984). Central neural integration for the control of autonomic responses associated with emotion. Annual Review of Neuroscience, 7, 4365.CrossRefGoogle ScholarPubMed
Stanger, C., Achenbach, T. M., & Verhulst, F. C. (1994). Accelerating longitudinal research on child psychopathology: A practical example. Psychological Assessment, 6, 102107.CrossRefGoogle Scholar
Stephens, C. L., Christie, I. C., & Friedman, B. H. (2010). Autonomic specificity of basic emotions: Evidence from pattern classification and cluster analysis. Biological Psychology, 84, 463473.CrossRefGoogle ScholarPubMed
Sterba, S. K., & Bauer, D. J. (2010). Matching method with theory in person-oriented developmental psychopathology research. Development and Psychopathology, 22, 239254.CrossRefGoogle ScholarPubMed
Sterling, P., & Eyer, J. (1988). Allostasis: A new paradigm to explain arousal pathology. In Fisher, S. & Reason, J. (Eds.), Handbook of life stress, cognition and health (pp. 629649). Oxford: Wiley.Google Scholar
Straus, M. A., Hamby, S. L., Boney-McCoy, S., & Sugarman, D. B. (1996). The revised Conflict Tactics Scales (CTS2). Journal of Family Issues, 17, 283316.CrossRefGoogle Scholar
Whitson, S., & El-Sheikh, M. (2003). Marital conflict and health: Processes and protective factors. Aggression and Violent Behavior, 8, 283312.CrossRefGoogle Scholar
Willemen, A. M., Schuengel, C., & Koot, H. M. (2009). Physiological regulation of stress in referred adolescents: The role of the parent–adolescent relationship. Journal of Child Psychology and Psychiatry, 50, 482490.CrossRefGoogle ScholarPubMed
Willett, J. B., Singer, J. D., & Martin, N. C. (1998). The design and analysis of longitudinal studies of development and psychopathology in context: Statistical models and methodological recommendations. Development and Psychopathology, 10, 395426.CrossRefGoogle ScholarPubMed
Wirt, R. D., Lachar, D., Klinedinst, J. K., & Seat, P. S. (1990). Personality Inventory for Children—Revised. Los Angeles: Western Psychological Services.Google Scholar
Wu, A. D., Liu, Y., Gadermann, A. M., & Zumbo, B. D. (2010). Multiple-indicator multilevel growth model: A solution to multiple methodological challenges in longitudinal studies. Social Indicators Research, 97, 123142.CrossRefGoogle Scholar