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Discordance Indices of Stress Sensitivity and Trajectories of Internalizing Symptoms in Adolescence

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Abstract

Psychiatric illness in adolescence is associated with long-term impairments, making it critical to identify predictors of adolescent psychiatric distress. Individual differences in stress sensitivity could be associated with longitudinal trajectories of internalizing symptoms. Historically, researchers have operationalized stress sensitivity by assessing either objective or subjective responses to stress. However, we posit that the relative discordance between subjective and objective responses to stress is a critical metric of stress sensitivity. We examined whether two discordance-based indices of stress sensitivity were related to one another and to trajectories of internalizing psychopathology among a sample of 101 adolescent youths (Mage = 12.80 at baseline; 55% males) across two successive stressors: the high school transition and the COVID-19 pandemic. Using latent growth curve modeling, we found that greater discordance between subjective (i.e., affective) and objective (i.e., cortisol) responses to a social-evaluative stressor was associated with higher internalizing symptoms at baseline and an accelerated symptom growth trajectory across the first year of the pandemic. In contrast, early life stress sensitivity was not associated with internalizing symptoms. Findings suggest that the discordance between objective and subjective experiences of social-evaluative stress predicts a pernicious growth trajectory of internalizing symptoms during adolescence. This work advances current methodologies, contributes to theoretical models of internalizing psychopathology, and with replication could have implications for policy and practice by identifying a key vulnerability factor that increases adolescents’ psychiatric distress over time.

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Data Availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Notes

  1. The main analyses were repeated after replacing latent factor scores with summed standardized symptom scores. An identical pattern of findings emerged: social-evaluative stress sensitivity was associated with higher levels of internalizing symptoms at baseline, and with a nonlinear symptom trajectory with an initial downward trend and greater quadratic growth in symptoms over time (ps ≤ 0.05). Early life stress sensitivity was not associated significantly either with symptoms at baseline or with longitudinal symptom trajectories.

References

  • Achenbach, T. M. (1991). Manual for the child behavior checklist/4–18 and 1991 profile. Dept. of Psychiatry, University of Vermont.

  • Allen, A. P., Kennedy, P. J., Dockray, S., Cryan, J. F., Dinan, T. G., & Clarke, G. (2017). The trier social stress test: principles and practice. Neurobiology of Stress, 6, 113–126.

  • Aron, A. (1999). In E. N. Aron (Ed.), Statistics for psychology (2nd ed., pp. xxiii–643). Prentice-Hall, Inc.

  • Baldwin, J. S., & Dadds, M. R. (2007). Reliability and validity of parent and child versions of the multidimensional anxiety scale for children in Community samples. Journal of the American Academy of Child & Adolescent Psychiatry, 46(2), 252–260. https://doi.org/10.1097/01.chi.0000246065.93200.a1.

    Article  Google Scholar 

  • Belfer, M. L. (2008). Child and adolescent mental disorders: The magnitude of the problem across the globe. Journal of Child Psychology and Psychiatry, 49(3), 226–236. https://doi.org/10.1111/j.1469-7610.2007.01855.x.

    Article  PubMed  Google Scholar 

  • Benner, A. D. (2011). The transition to High School: Current knowledge, future directions. Educational Psychology Review, 23(3), 299–328. https://doi.org/10.1007/s10648-011-9152-0.

    Article  PubMed  PubMed Central  Google Scholar 

  • Blum, R. W., Astone, N. M., Decker, M. R., & Mouli, V. C. (2014). A conceptual framework for early adolescence: A platform for research. International Journal of Adolescent Medicine and Health, 26(3), 321–331. https://doi.org/10.1515/ijamh-2013-0327.

    Article  PubMed  PubMed Central  Google Scholar 

  • Boomsma, A. (1985). Nonconvergence, improper solutions, and starting values in lisrel maximum likelihood estimation. Psychometrika, 50(2), 229–242. https://doi.org/10.1007/BF02294248.

    Article  Google Scholar 

  • Buske-Kirschbaum, A., Jobst, S., Wustmans, A., Kirschbaum, C., Rauh, W., & Hellhammer, D. (1997). Attenuated free cortisol response to psychosocial stress in children with atopic dermatitis. Psychosomatic Medicine, 59(4), 419–426. https://doi.org/10.1097/00006842-199707000-00012.

    Article  PubMed  Google Scholar 

  • Conway, C. C., Hammen, C., Espejo, E. P., Wray, N. R., Najman, J. M., & Brennan, P. A. (2012). Appraisals of Stressful Life events as a genetically-linked mechanism in the stress–depression relationship. Cognitive Therapy and Research, 36(4), 338–347. https://doi.org/10.1007/s10608-011-9368-9.

    Article  Google Scholar 

  • Copeland, W. E., Angold, A., Shanahan, L., & Costello, E. J. (2014). Longitudinal patterns of anxiety from childhood to Adulthood: The Great Smoky Mountains Study. Journal of the American Academy of Child & Adolescent Psychiatry, 53(1), 21–33. https://doi.org/10.1016/j.jaac.2013.09.017.

    Article  Google Scholar 

  • Costello, E. J., Copeland, W., & Angold, A. (2011). Trends in psychopathology across the adolescent years: What changes when children become adolescents, and when adolescents become adults? Journal of Child Psychology and Psychiatry, 52(10), 1015–1025. https://doi.org/10.1111/j.1469-7610.2011.02446.x.

    Article  PubMed  Google Scholar 

  • Curran, P. J., Obeidat, K., & Losardo, D. (2010). Twelve frequently asked questions about growth curve modeling. Journal of Cognition and Development: Official Journal of the Cognitive Development Society, 11(2), 121–136. https://doi.org/10.1080/15248371003699969.

    Article  PubMed  Google Scholar 

  • Dahl, R. E., & Gunnar, M. R. (2009). Heightened stress responsiveness and emotional reactivity during pubertal maturation: Implications for psychopathology. Development and Psychopathology, 21(1), 1–6. https://doi.org/10.1017/S0954579409000017.

    Article  PubMed  Google Scholar 

  • Danese, A., & Widom, C. S. (2020). Objective and subjective experiences of child maltreatment and their relationships with psychopathology. Nature Human Behaviour, 4(8), https://doi.org/10.1038/s41562-020-0880-3. Article 8.

  • Danese, A., & Widom, C. S. (2021). The subjective experience of Childhood Maltreatment in Psychopathology. JAMA Psychiatry, 78(12), 1307–1308. https://doi.org/10.1001/jamapsychiatry.2021.2874.

    Article  PubMed  Google Scholar 

  • De Los Reyes, A., & Prinstein, M. J. (2004). Applying depression-distortion hypotheses to the assessment of peer victimization in adolescents. Journal of Clinical Child and Adolescent Psychology: The Official Journal for the Society of Clinical Child and Adolescent Psychology American Psychological Association Division, 53(2), 325–335. https://doi.org/10.1207/s15374424jccp3302_14. 33.

    Article  Google Scholar 

  • Dorn, L. D., Dahl, R. E., Woodward, H. R., & Biro, F. (2006). Defining the boundaries of early adolescence: A user’s guide to assessing Pubertal Status and Pubertal timing in Research with Adolescents. Applied Developmental Science, 10(1), 30–56. https://doi.org/10.1207/s1532480xads1001_3.

    Article  Google Scholar 

  • Duncan, T. E., & Duncan, S. C. (2009). The ABC’s of LGM: An introductory guide to latent variable growth curve modeling. Social and Personality Psychology Compass, 3(6), 979–991. https://doi.org/10.1111/j.1751-9004.2009.00224.x.

    Article  PubMed  PubMed Central  Google 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 (pp. xii, 261). Lawrence Erlbaum Associates Publishers.

  • Ebesutani, C., Bernstein, A., Martinez, J. I., Chorpita, B. F., & Weisz, J. R. (2011). The Youth Self Report: Applicability and validity across younger and older Youths. Journal of Clinical Child & Adolescent Psychology, 40(2), 338–346. https://doi.org/10.1080/15374416.2011.546041.

    Article  Google Scholar 

  • Eiland, L., & Romeo, R. D. (2013). Stress and the developing adolescent brain. Neuroscience, 249, 162–171. https://doi.org/10.1016/j.neuroscience.2012.10.048.

    Article  PubMed  Google Scholar 

  • Faulstich, M. E., Carey, M. P., Ruggiero, L., Enyart, P., & Gresham, F. (1986). Assessment of depression in childhood and adolescence: An evaluation of the Center for Epidemiological Studies Depression Scale for children (CES-DC). The American Journal of Psychiatry, 143(8), 1024–1027. https://doi.org/10.1176/ajp.143.8.1024.

    Article  PubMed  Google Scholar 

  • Fendrich, M., Weissman, M., & Warner, V. (1990). Screening for depressive disorder in children and adolescents: Validating the Center for epidemiologic Studies Depression Scale for Children. American Journal of Epidemiology, 131, 538–551. https://doi.org/10.1093/oxfordjournals.aje.a115529.

    Article  PubMed  Google Scholar 

  • Fried, E. I. (2017). The 52 symptoms of major depression: Lack of content overlap among seven common depression scales. Journal of Affective Disorders, 208, 191–197. https://doi.org/10.1016/j.jad.2016.10.019.

    Article  PubMed  Google Scholar 

  • Fried, E. I., Flake, J. K., & Robinaugh, D. J. (2022). Revisiting the theoretical and methodological foundations of depression measurement. Nature Reviews Psychology, 1(6), 358–368. https://doi.org/10.1038/s44159-022-00050-2.

    Article  Google Scholar 

  • Gee, D. G., Hanson, C., Caglar, L. R., Fareri, D. S., Gabard-Durnam, L. J., Mills-Finnerty, C., Goff, B., Caldera, C. J., Lumian, D. S., Flannery, J., Hanson, S. J., & Tottenham, N. (2022). Experimental evidence for a child-to-adolescent switch in human amygdala-prefrontal cortex communication: A cross-sectional pilot study. Developmental Science, e13238. https://doi.org/10.1111/desc.13238.

  • Golberstein, E., Wen, H., & Miller, B. F. (2020). Coronavirus disease 2019 (COVID-19) and mental health for children and adolescents. JAMA Pediatrics, 174(9), 819–820.

  • Granger, D. A., Hibel, L. C., Fortunato, C. K., & Kapelewski, C. H. (2009). Medication effects on salivary cortisol: Tactics and strategy to minimize impact in behavioral and developmental science. Psychoneuroendocrinology, 34(10), 1437–1448. https://doi.org/10.1016/j.psyneuen.2009.06.017.

    Article  PubMed  Google Scholar 

  • Grant, K. E., Compas, B. E., Thurm, A. E., McMahon, S. D., & Gipson, P. Y. (2004). Stressors and child and adolescent psychopathology: Measurement issues and prospective Effects. Journal of Clinical Child & Adolescent Psychology, 33(2), 412–425. https://doi.org/10.1207/s15374424jccp3302_23.

    Article  Google Scholar 

  • Greenberg, M., & Abenavoli, R. (2016). Universal Interventions: Fully exploring their impacts and potential to produce Population-Level Impacts. Journal of Research on Educational Effectiveness, 10, 00–00. https://doi.org/10.1080/19345747.2016.1246632.

    Article  Google Scholar 

  • Greenberg, M., Domitrovich, C. E., Weissberg, R. P., & Durlak, J. A. (2017). Social and Emotional Learning as a Public Health Approach to Education. The Future of Children, 27(1), 13–32.

    Article  Google Scholar 

  • Hall, G. S. (1904). Adolescence: Its psychology and its relation to physiology, anthropology, sociology, sex, crime, religion, and education. Prentice-Hall.

  • Hammen, C. (2015). Stress sensitivity in psychopathology: Mechanisms and consequences. Journal of Abnormal Psychology, 124(1), https://doi.org/10.1037/abn0000040.

  • Hankin, B. L., Abramson, L. Y., Moffitt, T. E., Silva, P. A., McGee, R., & Angell, K. E. (1998). Development of depression from preadolescence to young adulthood: Emerging gender differences in a 10-year longitudinal study. Journal of Abnormal Psychology, 107, 128–140. https://doi.org/10.1037/0021-843X.107.1.128.

    Article  PubMed  Google Scholar 

  • Harkness, K. L., Hayden, E. P., & Lopez-Duran, N. L. (2015). Stress sensitivity and stress sensitization in psychopathology: An introduction to the special section. Journal of Abnormal Psychology, 124(1), 1–3. https://doi.org/10.1037/abn0000041.

    Article  PubMed  Google Scholar 

  • Hollenstein, T., & Lanteigne, D. (2014). Models and methods of emotional concordance. Biological Psychology, 98, 1–5. https://doi.org/10.1016/j.biopsycho.2013.12.012.

    Article  PubMed  Google Scholar 

  • Ho, T. C., King, L. S., Leong, J. K., Colich, N. L., Humphreys, K. L., Ordaz, S. J., & Gotlib, I. H. (2017). Effects of sensitivity to life stress on uncinate fasciculus segments in early adolescence. Social Cognitive and Affective Neuroscience, 12(9), 1460–1469. https://doi.org/10.1093/scan/nsx065.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ho, T. C., Pham, H. T., Miller, J. G., Kircanski, K., & Gotlib, I. H. (2020). Sympathetic nervous system dominance during stress recovery mediates associations between stress sensitivity and social anxiety symptoms in female adolescents. Development and Psychopathology, 32(5), 1914–1925. https://doi.org/10.1017/S0954579420001261.

    Article  PubMed  Google Scholar 

  • Hughes, A. A., & Kendall, P. C. (2009). Psychometric Properties of the positive and negative affect scale for children (PANAS-C) in children with anxiety Disorders. Child Psychiatry and Human Development, 40(3), 343–352. https://doi.org/10.1007/s10578-009-0130-4.

    Article  PubMed  Google Scholar 

  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118.

    Article  Google Scholar 

  • Infurna, M. R., Reichl, C., Parzer, P., Schimmenti, A., Bifulco, A., & Kaess, M. (2016). Associations between depression and specific childhood experiences of abuse and neglect: A meta-analysis. Journal of Affective Disorders, 190, 47–55.

  • Kamata, A., Nese, J. F. T., Patarapichayatham, C., & Lai, C. F. (2013). Modeling Nonlinear Growth With Three Data Points: Illustration With Benchmarking Data. Assessment for Effective Intervention, 38(2), 105–116. https://doi.org/10.1177/1534508412457872.

  • Kessler, R. C., Amminger, G. P., Aguilar-Gaxiola, S., Alonso, J., Lee, S., & Ustun, T. B. (2007). Age of onset of mental disorders: A review of recent literature. Current Opinion in Psychiatry, 20(4), 359–364. https://doi.org/10.1097/YCO.0b013e32816ebc8c.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kessler, R. C., Avenevoli, S., Costello, E. J., Georgiades, K., Green, J. G., Gruber, M. J., He, J., Koretz, D., McLaughlin, K. A., Petukhova, M., Sampson, N. A., Zaslavsky, A. M., & Merikangas, K. R. (2012). Prevalence, persistence, and Sociodemographic Correlates of DSM-IV Disorders in the National Comorbidity Survey Replication adolescent supplement. Archives of General Psychiatry, 69(4), 372–380. https://doi.org/10.1001/archgenpsychiatry.2011.160.

    Article  PubMed  Google Scholar 

  • Kilford, E. J., Garrett, E., & Blakemore, S. J. (2016). The development of social cognition in adolescence: An integrated perspective. Neuroscience & Biobehavioral Reviews, 70, 106–120.

  • King, L. S., Colich, N. L., LeMoult, J., Humphreys, K. L., Ordaz, S. J., Price, A. N., & Gotlib, I. H. (2017). The impact of the severity of early life stress on diurnal cortisol: The role of puberty. Psychoneuroendocrinology, 77, 68–74. https://doi.org/10.1016/j.psyneuen.2016.11.024.

    Article  PubMed  Google Scholar 

  • Kline, R. B. (2016). Principles and practice of structural equation modeling (Fourth edition.). The Guilford Press.

  • Kovacs, M. (2015). Children’s Depression Inventory (CDI and CDI 2). The encyclopedia of clinical psychology (pp. 1–5). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118625392.wbecp419.

  • Krackow, E., & Rudolph, K. D. (2008). Life stress and the accuracy of cognitive appraisals in depressed youth. Journal of Clinical Child and Adolescent Psychology: The Official Journal for the Society of Clinical Child and Adolescent Psychology American Psychological Association Division, 53(2), 376–385. https://doi.org/10.1080/15374410801955797. 37.

    Article  Google Scholar 

  • Lanteigne, D. M., Flynn, J. J., Eastabrook, J. M., & Hollenstein, T. (2014). Discordant patterns among emotional experience, arousal, and expression in adolescence: Relations with emotion regulation and internalizing problems. Canadian Journal of Behavioural Science / Revue Canadienne Des Sciences Du Comportement, 46(1), 29–39. https://doi.org/10.1037/a0029968.

    Article  Google Scholar 

  • LeMoult, J. (2020). From stress to Depression: Bringing together cognitive and Biological Science. Current Directions in Psychological Science, 29(6), 592–598. https://doi.org/10.1177/0963721420964039.

    Article  PubMed  PubMed Central  Google Scholar 

  • Leproult, R., Copinschi, G., Buxton, O., & Van Cauter, E. (1997). Sleep loss results in an elevation of cortisol levels the next evening. Sleep, 20(10), 865–870.

    PubMed  Google Scholar 

  • Li, M., D’Arcy, C., & Meng, X. (2016). Maltreatment in childhood substantially increases the risk of adult depression and anxiety in prospective cohort studies: Systematic review, meta-analysis, and proportional attributable fractions. Psychological Medicine, 46(4), 717–730.

  • Linares, N. N., Charron, V., Ouimet, A. J., Labelle, P. R., & Plamondon, H. (2020). A systematic review of the trier social stress test methodology: Issues in promoting study comparison and replicable research. Neurobiology of Stress, 13, 100235.

  • March, J. S., Parker, J. D., Sullivan, K., Stallings, P., & Conners, C. K. (1997). The multidimensional anxiety scale for children (MASC): Factor structure, reliability, and validity. Journal of the American Academy of Child and Adolescent Psychiatry, 36(4), 554–565. https://doi.org/10.1097/00004583-199704000-00019.

    Article  PubMed  Google Scholar 

  • Marshall, W. A., & Tanner, J. M. (1968). Growth and physiological development during adolescence. Annual Review of Medicine, 19(1), 283–300. https://doi.org/10.1146/annurev.me.19.020168.001435.

    Article  PubMed  Google Scholar 

  • McLaughlin, K. A., & King, K. (2015). Developmental trajectories of anxiety and depression in early adolescence. Journal of Abnormal Child Psychology, 43, 311–323.

  • Merikangas, K. R., He, J., Burstein, M., Swanson, S. A., Avenevoli, S., Cui, L., Benjet, C., Georgiades, K., & Swendsen, J. (2010). Lifetime prevalence of Mental Disorders in U.S. adolescents: Results from the National Comorbidity Survey replication–adolescent supplement (NCS-A). Journal of the American Academy of Child & Adolescent Psychiatry, 49(10), 980–989. https://doi.org/10.1016/j.jaac.2010.05.017.

    Article  Google Scholar 

  • Merikangas, K. R., Nakamura, E. F., & Kessler, R. C. (2009). Epidemiology of mental disorders in children and adolescents. Dialogues in Clinical Neuroscience, 11(1), 7–20. https://doi.org/10.31887/DCNS.2009.11.1/krmerikangas.

    Article  PubMed  PubMed Central  Google Scholar 

  • Morken, I. S., Viddal, K. R., von Soest, T., & Wichstrøm, L. (2023). Explaining the female preponderance in adolescent Depression—A Four-Wave Cohort Study. Research on Child and Adolescent Psychopathology, 51(6), 859–869. https://doi.org/10.1007/s10802-023-01031-6.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mueller, R. O., & Hancock, G. R. (2018). Structural equation modeling. The reviewer’s guide to quantitative methods in the Social Sciences. Second). Routledge.

  • Murtaugh, P. A. (1998). Methods of variable selection in regression modeling. Communications in Statistics - Simulation and Computation, 27(3), 711–734. https://doi.org/10.1080/03610919808813505.

    Article  Google Scholar 

  • Nolen-Hoeksema, S., & Girgus, J. S. (1994). The emergence of gender differences in depression during adolescence. Psychological Bulletin, 115(3), 424–443. https://doi.org/10.1037/0033-2909.115.3.424.

    Article  PubMed  Google Scholar 

  • Pruessner, J. C., Kirschbaum, C., Meinlschmid, G., & Hellhammer, D. H. (2003). Two formulas for computation of the area under the curve represent measures of total hormone concentration versus time-dependent change. Psychoneuroendocrinology, 28(7), 916–931. https://doi.org/10.1016/S0306-4530(02)00108-7.

    Article  PubMed  Google Scholar 

  • Pruessner, J. C., Wolf, O. T., Hellhammer, D. H., Buske-Kirschbaum, A., von Auer, K., Jobst, S., Kaspers, F., & Kirschbaum, C. (1997). Free cortisol levels after awakening: A Reliable Biological marker for the Assessment of Adrenocortical Activity. Life Sciences, 61(26), 2539–2549. https://doi.org/10.1016/S0024-3205(97)01008-4.

    Article  PubMed  Google Scholar 

  • Racine, N., McArthur, B. A., Cooke, J. E., Eirich, R., Zhu, J., & Madigan, S. (2021). Global prevalence of depressive and anxiety symptoms in children and adolescents during COVID-19: A Meta-analysis. JAMA Pediatrics, 175(11), 1142–1150. https://doi.org/10.1001/jamapediatrics.2021.2482.

    Article  PubMed  Google Scholar 

  • Ribbe, D. (1996). Psychometric review of Traumatic Events Screening Inventory for Children (TESI-C). In Measurement of stress, trauma, and adaptation (pp. 386–387). Sidran.

  • Romeo, R. D., & McEwen, B. S. (2006). Stress and the adolescent brain. Annals of the New York Academy of Sciences, 1094(1), 202–214. https://doi.org/10.1196/annals.1376.022.

    Article  PubMed  Google Scholar 

  • Rosseel, Y. (2012). lavaan: An R Package for Structural equation modeling. Journal of Statistical Software, 48, 1–36. https://doi.org/10.18637/jss.v048.i02.

    Article  Google Scholar 

  • Rosseel, Y. (2015). The Lavaan Tutorial. Ghent University.

  • Rudolph, K. D., & Hammen, C. (1999). Age and gender as determinants of stress exposure, Generation, and reactions in youngsters: A transactional perspective. Child Development, 70(3), 660–677. https://doi.org/10.1111/1467-8624.00048.

    Article  PubMed  Google Scholar 

  • Sawyer, S. M., Afifi, R. A., Bearinger, L. H., Blakemore, S. J., Dick, B., Ezeh, A. C., & Patton, G. C. (2012). Adolescence: A foundation for future health. Lancet (London England), 379(9826), 1630–1640. https://doi.org/10.1016/S0140-6736(12)60072-5.

    Article  PubMed  Google Scholar 

  • Saylor, C. F., Finch, A. J., Spirito, A., & Bennett, B. (1984). The children’s Depression Inventory: A systematic evaluation of psychometric properties. Journal of Consulting and Clinical Psychology, 52(6), 955–967. https://doi.org/10.1037/0022-006X.52.6.955.

    Article  PubMed  Google Scholar 

  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research, 8(2), 23–74.

    Google Scholar 

  • Shirtcliff, E. A., Dahl, R. E., & Pollak, S. D. (2009). Pubertal Development: Correspondence between Hormonal and Physical Development. Child Development, 80(2), 327–337. https://doi.org/10.1111/j.1467-8624.2009.01263.x.

    Article  PubMed  PubMed Central  Google Scholar 

  • Solmi, M., Radua, J., Olivola, M., Croce, E., Soardo, L., Salazar de Pablo, G., Il Shin, J., Kirkbride, J. B., Jones, P., Kim, J. H., Kim, J. Y., Carvalho, A. F., Seeman, M. V., Correll, C. U., & Fusar-Poli, P. (2022). Age at onset of mental disorders worldwide: Large-scale meta-analysis of 192 epidemiological studies. Molecular Psychiatry, 27(1), https://doi.org/10.1038/s41380-021-01161-7.

  • Sommerfeldt, S. L., Schaefer, S. M., Brauer, M., Ryff, C. D., & Davidson, R. J. (2019). Individual differences in the Association between subjective stress and heart rate are related to psychological and physical well-being. Psychological Science, 30(7), 1016–1029. https://doi.org/10.1177/0956797619849555.

    Article  PubMed  PubMed Central  Google Scholar 

  • Statistics Canada (2021). Distribution of total income by census family type and age of older partner, parent, or individual

  • Statistics Canada (2022). Census Profile (2021 Census).

  • Vanaelst, B., De Vriendt, T., Huybrechts, I., Rinaldi, S., & De Henauw, S. (2012). Epidemiological approaches to measure childhood stress. Paediatric and Perinatal Epidemiology, 26(3), 280–297. https://doi.org/10.1111/j.1365-3016.2012.01258.x.

    Article  PubMed  Google Scholar 

  • van Buuren, S., & Groothuis-Oudshoorn, K. (2011). Mice: Multivariate imputation by chained equations in R. Journal of Statistical Software, 45, 1–67. https://doi.org/10.18637/jss.v045.i03.

    Article  Google Scholar 

  • Walker, E. F., Sabuwalla, Z., & Huot, R. (2004). Pubertal neuromaturation, stress sensitivity, and psychopathology. Development and Psychopathology, 16(4), 807–824. https://doi.org/10.1017/S0954579404040027.

    Article  PubMed  Google Scholar 

  • Wang, J., & Wang, X. (2019). Structural equation modeling: Applications using Mplus. John Wiley & Sons.

  • Wang, J., & Wang, X. (2020). Structural equation modeling: Applications using Mplus (Second edition). Wiley.

  • Wolfram, M., Bellingrath, S., & Kudielka, B. M. (2011). The cortisol awakening response (CAR) across the female menstrual cycle. Psychoneuroendocrinology, 36(6), 905–912. https://doi.org/10.1016/j.psyneuen.2010.12.006.

    Article  PubMed  Google Scholar 

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Funding

This research was supported by a Vanier Canada Graduate Fellowship to EJ; a Michael Smith Foundation for Health Research Trainee Award, a Killam Postdoctoral Fellowship, a Social Sciences and Humanities Research Council (SSHRC) Postdoctoral Fellowship, and a Women’s Health Research Institute Postdoctoral Award to KR; a SSHRC Doctoral Fellowship to AT; and Canadian Institute of Health Research (CIHR) Grant F17-03749 and Michael Smith Foundation for Health Research Scholar Award 17713 to JL. Beyond this funding, my co-authors and I do not have any interests that influence the research.

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Ellen Jopling and Joelle LeMoult were involved in the study’ conception and design. All authors contributed to data collection and preparation. Formal analysis was performed by Ellen Jopling and Katerina Rnic. The first draft of the manuscript was written by Ellen Jopling and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript. Joelle LeMoult supervised the work.

Corresponding author

Correspondence to Ellen Jopling.

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This study was approved by The University of British Columbia’s (UBC) Behavioural Research Ethics Board (BREB: #H17-01901) and is in line with the principles of the Declaration of Helsinki.

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Jopling, E., Rnic, K., Jameson, T. et al. Discordance Indices of Stress Sensitivity and Trajectories of Internalizing Symptoms in Adolescence. Res Child Adolesc Psychopathol 51, 1521–1533 (2023). https://doi.org/10.1007/s10802-023-01095-4

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