Validation of the Assessment of Parent and Child Adversity (APCA) in Mothers and Young Children

References

• Achenbach, T. M., & Rescorla, L. A. (2000). Manual for the ASEBA Preschool Forms & Profiles. University of Vermont, Research Center for Children, Youth, and Families.
   Google Scholar
• American Psychiatric Association (institution). (2013). Diagnostic and statistical manual of mental disorders, 5th Edition (DSM-5) (5th ed.). American Psychiatric Publishing.
   Google Scholar
• Atkins, R. (2014). Validation of the center for epidemiologic studies depression scale in black single mothers. Journal of Nursing Measurement, 22(3), 511–524. https://doi.org/10.1891/1061-3749.22.3.511
   PubMedGoogle Scholar
• Baer, J., & Martinez, C. D. (2006). Child maltreatment and insecure attachment: A meta-analysis. Journal of Reproductive and Infant Psychology, 24(3), 187–197. https://doi.org/10.1080/02646830600821231
   Web of Science ®Google Scholar
• Beck, A. T., & Steer, R. A. (1993). Beck anxiety inventory manual. Psychological Corporation.
   Google Scholar
• Becker, M., Mayo, Ã. J. A., Phogat, Ã. N. K., Quaintance, M. S. C. C., Laborde, A., King, B. A. L., Gotlib, B. A. I. H., Gaudilliere, B., Angst, M. S., Shaw, G. M., Stevenson, D. K., Aghaeepour, N., & Dhabhar, F. S. (2021). Deleterious and protective psychosocial and stress-related factors predict risk of spontaneous preterm birth. American Journal of Perinatology, 33136. https://doi.org/10.1055/s-0041-1729162
   Google Scholar
• Bernstein, D. P., Stein, J. A., Newcomb, M. D., Walker, E., Pogge, D., Ahluvalia, T., Stokes, J., Handelsman, L., Medrano, M., Desmond, D., & Zule, W. (2003). Development and validation of a brief screening version of the childhood trauma questionnaire. Child Abuse & Neglect, 27(2), 169–190. https://doi.org/10.1016/S0145-2134(02)00541-0
   PubMed Web of Science ®Google Scholar
• Berry, C., Quinn, K., Shalowitz, M., & Wolf, R. (2001). Validation of the crisis in family systems–revised, a contemporary measure of life stressors. Psychological Reports, 88(3), 713–724. https://doi.org/10.2466/pr0.2001.88.3.713
   PubMed Web of Science ®Google Scholar
• Bowers, M. E., & Yehuda, R. (2016). Intergenerational transmission of stress in humans. Neuropsychopharmacology, 41(1), 232–244. https://doi.org/10.1038/npp.2015.247
   PubMed Web of Science ®Google Scholar
• CDC. (2019). Creating safe, stable, nurturing relationships and environments for all children. https://www.cdc.gov/violenceprevention/pdf/essentials-for-childhood-framework508.pdf
   Google Scholar
• Clark, L. A., & Watson, D. (2019). Constructing validity: New developments in creating objective measuring instruments. Psychological Assessment, 31(12), 1412–1427. https://doi.org/10.1037/pas0000626
   PubMed Web of Science ®Google Scholar
• Collishaw, S., Dunn, J., O’Connor, T. G., & Golding, J., & Avon Longitudinal Study of Parents and Children Study Team. (2007). Maternal childhood abuse and offspring adjustment over time. Development and Psychopathology, 19(2), 367–383. https://doi.org/10.1017/S0954579407070186
   PubMed Web of Science ®Google Scholar
• Daskalakis, N. P., Bagot, R. C., Parker, K. J., Vinkers, C. H., & de Kloet, E. R. (2013). The three-hit concept of vulnerability and resilience: Towards understanding adaptation to early-life adversity outcome. Psychoneuroendocrinology, 38(9), 1858–1873. https://doi.org/10.1016/j.psyneuen.2013.06.008
   PubMed Web of Science ®Google Scholar
• Dunn, E. C., Nishimi, K., Gomez, S. H., Powers, A., & Bradley, B. (2018). Developmental timing of trauma exposure and emotion dysregulation in adulthood: Are there sensitive periods when trauma is most harmful? Journal of Affective Disorders, 227(August 2017), 869–877. https://doi.org/10.1016/j.jad.2017.10.045
   PubMedGoogle Scholar
• Dunn, E. C., Nishimi, K., Powers, A., & Bradley, B. (2017). Is developmental timing of trauma exposure associated with depressive and post-traumatic stress disorder symptoms in adulthood? Journal of Psychiatric Research, 84, 119–127. https://doi.org/10.1016/j.jpsychires.2016.09.004
   PubMed Web of Science ®Google Scholar
• Entringer, S., Buss, C., & Wadhwa, P. D. (2015). Prenatal stress, development, health and disease risk: A psychobiological perspective. Psychoneuroendocrinology, 62, 366–375. https://doi.org/10.1016/j.psyneuen.2015.08.019
   PubMed Web of Science ®Google Scholar
• Evans, G. W., Li, D., & Whipple, S. S. (2013). Cumulative risk and child development. Psychological Bulletin, 139(6), 1342–1396. https://doi.org/10.1037/a0031808
   PubMed Web of Science ®Google Scholar
• Felitti, V. J., Anda, R. F., Nordenberg, D., Williamson, D. F., Spitz, A. M., Edwards, V., Koss, M. P., & Marks, J. S. (1998). Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: The Adverse Childhood Experiences (ACE) Study. American Journal of Preventive Medicine, 14(4), 245–258. https://doi.org/10.1016/S0749-3797(98)00017-8
   PubMed Web of Science ®Google Scholar
• Ford, J. D., Racusin, R., Rogers, K., Ellis, C., Schiffman, J., Ribbe, D., & Edwards, J. (2002). Traumatic events screening inventory for children (TESI-C). National Center for PTSD and Dartmouth Child Psychiatry Research Group.
   Google Scholar
• Fraiberg, S., Adelson, E., & Shapiro, V. (1975). Ghosts in the nursery: A psychoanalytic approach to the problem of impaired infant-mother relationships. Journal of the American Academy of Child and Adolescent Psychiatry, 14 (3), 387–422. https://doi.org/10.1016/S0002-7138(09)61442-4
   Web of Science ®Google Scholar
• Fuchs, A., Möhler, E., Resch, F., & Kaess, M. (2015). Impact of a maternal history of childhood abuse on the development of mother–infant interaction during the first year of life. Child Abuse & Neglect, 48, 179–189. https://doi.org/10.1016/j.chiabu.2015.05.023
   PubMed Web of Science ®Google Scholar
• Gabard-Durnam, L., & McLaughlin, K. A. (2019). Do sensitive periods exist for exposure to adversity? Biological Psychiatry, 85(10), 789–791. https://doi.org/10.1016/j.biopsych.2019.03.975
   PubMed Web of Science ®Google Scholar
• Gabard-Durnam, L., & McLaughlin, K. A. (2020). Sensitive periods in human development: Charting a course for the future. Current Opinion in Behavioral Sciences, 36, 120–128. https://doi.org/10.1016/j.cobeha.2020.09.003
   Web of Science ®Google Scholar
• Gelman, A., & Hill, J. (2007). Data analysis using regression and multilevel/hierarchical models. Cambridge University Press.
   Google Scholar
• Ghaemi, M. S., DiGiulio, D. B., Contrepois, K., Callahan, B., Ngo, T. T. M., Lee-Mcmullen, B., Lehallier, B., Robaczewska, A., McIlwain, D., Rosenberg-Hasson, Y., Wong, R. J., Quaintance, C., Culos, A., Stanley, N., Tanada, A., Tsai, A., Gaudilliere, D., Ganio, E., Han, X., & Aghaeepour, N. (2019). Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. Bioinformatics, 35(1), 95–103. https://doi.org/10.1093/bioinformatics/bty537
   PubMed Web of Science ®Google Scholar
• Green, J. G., Mclaughlin, K. A., Berglund, P. A., Gruber, M. J., Sampson, N. A., Zaslavsky, A. M., & Kessler, R. C. (2010). Childhood adversities and adult psychiatric disorders in the National Comorbidity Survey Replication I. Archives of General Psychiatry, 67(2), 113–123. https://doi.org/10.1001/archgenpsychiatry.2009.186
   PubMed Web of Science ®Google Scholar
• Harkness, K. L., & Monroe, S. M. (2016). The assessment and measurement of adult life stress: Basic premises, operational principles, and design requirements. Journal of Abnormal Psychology, 125(5), 727–745. https://doi.org/10.1037/abn0000178
   PubMed Web of Science ®Google Scholar
• Harris, P. A., Taylor, R., Thielke, R., Payne, J., Gonzales, N., & Conde, J. G. (2009). Research electronic data capture (REDCap) – A metadata-driven methodology and workflow process for providing translational research informatics suppor. Journal of Biomedical Informatics, 42(2), 377–381. https://doi.org/10.1016/j.jbi.2008.08.010
   PubMed Web of Science ®Google Scholar
• Humphreys, K. L., Camacho, M. C., Roth, M. C., & Estes, E. C. (2020). Prenatal stress exposure and multimodal assessment of amygdala–medial prefrontal cortex connectivity in infants. Developmental Cognitive Neuroscience, 46, 100877. https://doi.org/10.1016/j.dcn.2020.100877
   PubMed Web of Science ®Google Scholar
• Humphreys, K. L., & Zeanah, C. H. (2015). Deviations from the expectable environment in early childhood and emerging psychopathology. Neuropsychopharmacology, 40(1), 154–170. https://doi.org/10.1038/npp.2014.165
   PubMed Web of Science ®Google Scholar
• Ippen, C. G., Ford, J., Racusin, R., Acker, M., Bosquet, K., Ellis, C., Schiffman, J., Ribbe, D., Cone, P., Lukovitz, M., & Edwards, J. (2002). Traumatic events screening inventory - Parent report revised. National Center for PTSD and Dartmouth Child Psychiatry Research Group.
   Google Scholar
• Ivanova, M. Y., Achenbach, T. M., Rescorla, L. A., Harder, V. S., Ang, R. P., Bilenberg, N., Bjarnadottir, G., Capron, C., De Pauw, S. S. W., Dias, P., Dobrean, A., Doepfner, M., Duyme, M., Eapen, V., Erol, N., Esmaeili, E. M., Ezpeleta, L., Frigerio, A., Gonalves, M. M., & Verhulst, F. C. (2010). Preschool psychopathology reported by parents in 23 societies: Testing the seven-syndrome model of the child behavior checklist for ages 1.5-5. Journal of the American Academy of Child and Adolescent Psychiatry, 49(12), 1215–1224. https://doi.org/10.1016/j.jaac.2010.08.019
   PubMed Web of Science ®Google Scholar
• King, L. S. (2019). The assessment of parent and child adversity (APCA). Open Science Framework. https://osf.io/tgmpz/
   Google Scholar
• King, L. S., Salo, V. C., Kujawa, A., & Humphreys, K. L. Advancing the RDoC initiative through the assessment of caregiver social processes. (2021). Development and Psychopathology, 33(5), 1648–1664. in press. https://doi.org/10.1017/S095457942100064X
   PubMed Web of Science ®Google Scholar
• Kleinhaus, K., Harlap, S., Perrin, M., Manor, O., Margalit-Calderon, R., Opler, M., Friedlander, Y., & Malaspina, D. (2013). Prenatal stress and affective disorders in a population birth cohort. Bipolar Disorders, 15(1), 92–99. https://doi.org/10.1111/bdi.12015
   PubMed Web of Science ®Google Scholar
• Kuhn, M., Scharfenort, R., Schümann, D., Schiele, M. A., Münsterkötter, A. L., Deckert, J., Domschke, K., Haaker, J., Kalisch, R., Pauli, P., Reif, A., Romanos, M., Zwanzger, P., & Lonsdorf, T. B. (2016). Mismatch or allostatic load? Timing of life adversity differentially shapes gray matter volume and anxious temperament. Social Cognitive and Affective Neuroscience, 11(4), 537–547. https://doi.org/10.1093/scan/nsv137
   PubMed Web of Science ®Google Scholar
• LeMoult, J., Humphreys, K. L., Tracy, A., Hoffmeister, J. A., Ip, E., & Gotlib, I. H. (2020). Meta-analysis: Exposure to early life stress and risk for depression in childhood and adolescence. Journal of the American Academy of Child and Adolescent Psychiatry, 59(7), 842–855. https://doi.org/10.1016/j.jaac.2019.10.011
   PubMed Web of Science ®Google Scholar
• Lewinsohn, P., Seeley, J. R., Roberts, R. E., & Allen, N. B. (1997). Center for epidemiologic studies depression scale (CES-D) as a screening instrument for depression among community-residing older adults. Psychology and Aging, 12(2), 277–287. https://doi.org/10.1037/0882-7974.12.2.277
   PubMed Web of Science ®Google Scholar
• Lieberman, A. F., Gosh Ippen, C., & Van Horn, P. (2015). Don’t hit my mommy!: A manual for child-parent psychotherapy with young witnesses of family violence (2nd ed.). National Center for Clinical Infant Programs.
   Google Scholar
• Lüdecke, D., Makowski, D., Waggoner, P., & Patil, I. (2020). performance: Assessment of regression models performance. CRAN Repository. https://doi.org/10.5281/zenodo.3952174
   Google Scholar
• Lüdecke, D., Waggoner, P. D., & Makowski, D. (2019). insight: A unified interface to access information from model objects in R. Journal of Open Source Software, 4(38), 1412. https://doi.org/10.21105/joss.01412
   Google Scholar
• Madigan, S., Cyr, C., Eirich, R., Fearon, R. M. P., Ly, A., Rash, C., Poole, J. C., & Alink, L. R. A. (2019). Testing the cycle of maltreatment hypothesis: Meta-analytic evidence of the intergenerational transmission of child maltreatment. Development and Psychopathology, 31(1), 23–51. https://doi.org/10.1017/S0954579418001700
   PubMed Web of Science ®Google Scholar
• May, C. L., & Wisco, B. E. (2016). Defining Trauma: How level of exposure and proximity affect risk for posttraumatic stress disorder. Psychological Trauma: Theory, Research, Practice, and Policy, 8(2), 233–240. https://doi.org/10.1037/tra0000077
   PubMed Web of Science ®Google Scholar
• McLaughlin, K. A., & Sheridan, M. A. (2016). Beyond cumulative risk: A dimensional approach to childhood adversity. Current Directions in Psychological Science, 25(4), 239–245. https://doi.org/10.1177/0963721416655883
   PubMed Web of Science ®Google Scholar
• McLaughlin, K. A., Sheridan, M. A., Humphreys, K. L., Belsky, J., & Ellis, B. J. (2021). The value of dimensional models of early experience: Thinking clearly about concepts and categories. Perspectives on Psychological Science, December, 16(6), 1463–1472. https://doi.org/10.1177/1745691621992346
   PubMed Web of Science ®Google Scholar
• McLaughlin, K. A., Sheridan, M. A., & Lambert, H. K. (2014). Childhood adversity and neural development: Deprivation and threat as distinct dimensions of early experience. Neuroscience and Biobehavioral Reviews, 47, 578–591. https://doi.org/10.1016/j.neubiorev.2014.10.012
   PubMed Web of Science ®Google Scholar
• Merrick, J. S., Narayan, A. J., DePasquale, C. E., & Masten, A. S. (2019). Benevolent childhood experiences (BCEs) in homeless parents: A validation and replication study. Journal of Family Psychology, 33(4), 493–498. https://doi.org/10.1037/fam0000521
   PubMed Web of Science ®Google Scholar
• Morey, R. D. (2019). Computation of Bayes factors for common designs [R package BayesFactor version 0.9.12-4.2]. CRAN Repository. https://cran.r-project.org/web/packages/BayesFactor/index.html
   Google Scholar
• Narayan, A. J., Lieberman, A. F., & Masten, A. S. (2021). Intergenerational transmission and prevention of adverse childhood experiences (ACEs). Clinical Psychology Review, 85(November 2020), 101997. https://doi.org/10.1016/j.cpr.2021.101997
   PubMedGoogle Scholar
• Narayan, A. J., Rivera, L. M., Bernstein, R. E., Harris, W. W., & Lieberman, A. F. (2018). Positive childhood experiences predict less psychopathology and stress in pregnant women with childhood adversity: A pilot study of the benevolent childhood experiences (BCEs) scale. Child Abuse & Neglect, 17, 19–30. https://doi.org/10.1016/J.CHIABU.2017.09.022
   Google Scholar
• Nelson, C. A., & Gabard-Durnam, L. J. (2020). Early adversity and critical periods: Neurodevelopmental consequences of violating the expectable environment. Trends in Neurosciences, 43(3), 133–143. https://doi.org/10.1016/j.tins.2020.01.002
   PubMed Web of Science ®Google Scholar
• Orme, J. G., Reis, J., & Herz, E. J. (1984). Factorial and discriminant validity of the center for epidemiological studies depression (CES-D) scale. Journal of Clinical Psychology, 42(1), 28–33. https://doi.org/10.1002/1097-4679(198601)42:1<28::AID-JCLP2270420104>3.0.CO;2-T
   Web of Science ®Google Scholar
• Osman, A., Barrios, F. X., Aukes, D., Osman, J. R., & Markway, K. (1993). The Beck anxiety inventory: Psychometric properties in a community population. Journal of Psychopathology and Behavioral Assessment, 15(4), 287–297. https://doi.org/10.1007/BF00965034
   Web of Science ®Google Scholar
• Quintana, D. S., & Williams, D. R. (2018). Bayesian alternatives for common null-hypothesis significance tests in psychiatry: A non-technical guide using JASP. BMC Psychiatry, 18(1), 18–178. https://doi.org/10.1186/s12888-018-1761-4
   PubMedGoogle Scholar
• R Core Team. (2021). R: A language and environment for statistical computing. (4.0.0). R Foundation for Statistical Computing. https://www.r-project.org/
   Google Scholar
• Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Journal of Applied Psychological Measurement, 1(3), 385–401. https://doi.org/10.1177/014662167700100306
   Web of Science ®Google Scholar
• Roubinov, D. S., Luecken, L. J., Curci, S. G., Somers, J. A., & Winstone, L. K. (2021). A prenatal programming perspective on the intergenerational transmission of maternal adverse childhood experiences to offspring health problems. The American Psychologist, 76(2), 337–349. https://doi.org/10.1037/amp0000762
   PubMed Web of Science ®Google Scholar
• Savage, L. É., Tarabulsy, G. M., Pearson, J., Collin-Vézina, D., & Gagné, L. M. (2019). Maternal history of childhood maltreatment and later parenting behavior: A meta-analysis. Development and Psychopathology, 31, 9–21. https://doi.org/10.1017/S0954579418001542
   PubMed Web of Science ®Google Scholar
• Sterba, S., Egger, H. L., & Angold, A. (2007). Diagnostic specificity and nonspecificity in the dimensions of preschool psychopathology. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 48(10), 1005–1013. https://doi.org/10.1111/j.1469-7610.2007.01770.x
   PubMed Web of Science ®Google Scholar
• Umberson, D., Williams, K., Thomas, P. A., Liu, H., & Thomeer, M. B. (2014). Race, gender, and chains of disadvantage: Childhood adversity, social relationships, and health. Journal of Health and Social Behavior, 55(1), 20–38. https://doi.org/10.1177/0022146514521426
   PubMed Web of Science ®Google Scholar
• Venables, W., & Ripley, B. (2002). Modern applied statistics with S (4th ed.). Springer. http://www.stats.ox.ac.uk/pub/MASS4
   Google Scholar
• Waters, S. F., West, T. V., & Mendes, W. B. (2014). Stress contagion: Physiological covariation between mothers and infants. Psychological Science, 25(4), 934–942. https://doi.org/10.1177/0956797613518352
   PubMed Web of Science ®Google Scholar
• Wise, P. H., Shaw, G. M., Druzin, M. L., Darmstadt, G. L., Quaintance, C., Mäkinen, E., Relman, D. A., Quake, S. R., Butte, A. J., Angst, M. S., Muglia, L. J., Macones, G., Driscoll, D., Ober, C., Simpson, J. L., Katz, M., Howse, J., & Stevenson, D. K. (2017). Risky business: Meeting the structural needs of transdisciplinary science. Journal of Pediatrics, 191, 255–258. https://doi.org/10.1016/j.jpeds.2017.08.072
   PubMed Web of Science ®Google Scholar
• Wolfe, J., Kimerling, R., Brown, P., Chrestman, K., & Levin, K. (1997). The Life Stressor Checklist-Revised (LSC-R) [Measurement instrument]. Available from http://www.ptsd.va.gov
   Google Scholar
• Zero to Three. (2016). DC:0-5: Diagnostic classification of mental health and developental disorders of infancy and early childhood. Washington, D.C.
   Google Scholar