Top

Optie A:

Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
Optie B:

Deel de link per e-mail
Link delen

vorige artikel Patterns of Spiritual Connectedness during Adol...

volgende artikel Emerging Scholar Best Article Award, 2018

Tip

Swipe om te navigeren naar een ander artikel

07-08-2018 | Empirical Research | Uitgave 12/2018

Immunocognitive Model of Depression Secondary to Anxiety in Adolescents

Tijdschrift:: Journal of Youth and Adolescence > Uitgave 12/2018

Auteurs:: Daniel P. Moriarity, Brae Anne McArthur, Lauren M. Ellman, Christopher L. Coe, Lyn Y. Abramson, Lauren B. Alloy

» Toegang tot de volledige tekst krijgen

Abstract

There is evidence that anxiety precedes the onset of depression and that rumination contributes to this risk pathway in adolescence. This study examined inflammatory biomarkers as mediators in a risk model of depressive symptoms secondary to anxiety symptoms among adolescents who ruminate. A sample of 140 adolescents (52% female, 54% African American, 40% Caucasian, 6% biracial, mean age at T1 = 16.5 years, SD = 1.2 years) provided blood samples on two visits (T1 and T2; mean time between T1 and T2 = 13.5 months, SD = 5.9 months). Self-report anxiety, depression, and rumination measures were given at T1 and the depression measure was given again at a third visit (T3, mean months since T1 = 26.0 months, SD = 9.0 months). Higher anxiety predicted more interleukin-6, but not more C-reactive protein, for adolescents with high levels of rumination. Moderated mediation analyses (N for analysis after removing cases with missing data and outliers = 86) indicated that interleukin-6, but not C-reactive protein, at T2 mediated the relationship between anxiety symptoms at T1 and depressive symptoms at T3, conditional on rumination. Anxiety and rumination interacted such that, as rumination increased, anxiety predicted greater inflammation and depressive symptoms. These results demonstrate that established cognitive vulnerabilities for the development of depressive symptoms secondary to anxiety symptoms in adolescence might indirectly operate though biological mechanisms such as inflammation. In addition to highlighting risk factors and potential treatment targets for depression, this study suggests a potential biological mechanism underlying the effects of psychotherapies that reduce rumination on negative affect (e.g., cognitive behavioral therapy).

Log in om toegang te krijgen

Hier inloggen

Met onderstaand(e) abonnement(en) heeft u direct toegang:

BSL Psychologie Totaal

Met BSL Psychologie Totaal blijf je als professional steeds op de hoogte van de nieuwste ontwikkelingen binnen jouw vak. Met het online abonnement heb je toegang tot een groot aantal boeken, protocollen, vaktijdschriften en e-learnings op het gebied van psychologie en psychiatrie. Zo kun je op je gemak en wanneer het jou het beste uitkomt verdiepen in jouw vakgebied.

Meer informatie

Abela, J. R. Z., Vanderbilt, E., & Rochon, A. (2004). A test of the integration of the response styles and social support theories of depression in third and seventh grade children. Journal of Social and Clinical Psychology, 23(5), 653–674. https://doi.org/10.1521/jscp.23.5.653.50752. CrossRef

Alanna, M., Zhao, L., Ahmed, Y., Stoyanova, N., Hooper, W. C., Gibbons, G., & Vaccarino, V. (2011). Association between depression and inflammation-differences by race and sex: The META-Health study. Psychosomatic Medicine, 73(6), 462–468. https://doi.org/10.1097/PSY.0b013e318222379c. CrossRef

Alloy, L. B., Black, S. K., Young, M. E., Goldstein, K. E., Shapero, B. G., Stange, J. P., & Abramson, L. Y. (2012). Cognitive vulnerabilities and depression versus other psychopathology symptoms and diagnoses in early adolescence. Journal of Clinical Child and Adolescent Psychology, 41(5), 539–60. https://doi.org/10.1080/15374416.2012.703123. CrossRefPubMedPubMedCentral

Balázs, J., Miklõsi, M., Keresztény, A., Hoven, C. W., Carli, V., Wasserman, C., & Wasserman, D. (2013). Adolescent subthreshold-depression and anxiety: Psychopathology, functional impairment and increased suiciderisk. Journal of Child Psychology and Psychiatry and Allied Disciplines, 54(6), 670–677. https://doi.org/10.1111/jcpp.12016. CrossRef

Bell, J. A., Kivimäki, M., Bullmore, E. T., Steptoe, A., Bullmore, E., Vértes, P. E., & Carvalho, L. A. (2017). Repeated exposure to systemic inflammation and risk of new depressive symptoms among older adults. Translational Psychiatry, 7(8), e1208 https://doi.org/10.1038/tp.2017.155. CrossRefPubMedPubMedCentral

Bittner, A., Goodwin, R. D., Wittchen, H. U., Beesdo, K., Hofler, M., & Lieb, R. (2004). What characteristics of primary anxiety disorders predict subsequent major depressive disorder? The Journal of Clinical Psychiatry, 65(5), 618–26. CrossRef

Breen, E. C., Reynolds, S. M., Cox, C., Jacobson, L. P., Magpantay, L., Mulder, C. B., & Norris, P. J. (2011). Multisite comparison of high-sensitivity multiplex cytokine assays. Clinical and Vaccine Immunology, 18(8), 1229–1242. https://doi.org/10.1128/CVI.05032-11. CrossRefPubMed

Brosschot, J. F., Gerin, W., & Thayer, J. F. (2006). The perseverative cognition hypothesis: A review of worry, prolonged stress-related physiological activation, and health. Journal of Psychosomatic Research, 60(2), 113–24. https://doi.org/10.1016/j.jpsychores.2005.06.074. CrossRefPubMed

Burcusa, S. L., & Iacono, W. G. (2007). Risk for recurrence in depression. Clinical Psychology Review, 27(8), 959–985. https://doi.org/10.1016/j.cpr.2007.02.005. CrossRefPubMedPubMedCentral

Carroll, J. E., Low, C. A., Prather, A. A., Cohen, S., Fury, J. M., Ross, D. C., & Marsland, A. L. (2011). Negative affective responses to a speech task predict changes in interleukin (IL)-6. Brain, Behavior, and Immunity, 25(2), 232–8. https://doi.org/10.1016/j.bbi.2010.09.024. CrossRefPubMed

Cohen, J. R., Young, J. F., Gibb, B. E., Hankin, B. L., & Abela, J. R. Z. (2014). Why are anxiety and depressive symptoms comorbid in youth? A multi-wave, longitudinal examination of competing etiological models. Journal of Affective Disorders, 161, 21–29. https://doi.org/10.1016/j.jad.2014.02.042.Why. CrossRefPubMedPubMedCentral

Copeland, W. E., Shanahan, L., Worthman, C., Angold, A., & Costello, E. J. (2012). Generalized anxiety and C-reactive protein levels: a prospective, longitudinal analysis. Psychological Medicine, 42(12), 2641–2650. https://doi.org/10.1017/S0033291712000554. CrossRefPubMedPubMedCentral

Costello, E. J., Mustillo, S., Erkanli, A., & Keele, G. (2003). Prevalence and development of psychiatric disorders in childhood and adolescence. Archives of General Psychiatry, 60(8), 837–844. https://doi.org/10.1001/archpsyc.60.8.837. CrossRefPubMed

Cummings, C., Caporino, N., & Kendall, P. C. (2014). Comorbidity of anxiety and depression in children and adolescents: 20 Years after. Psychological Bulletin, 140(3), 816–845. https://doi.org/10.1037/a0034733. CrossRefPubMed

Dabitao, D., Margolick, J. B., Lopez, J., & Bream, J. H. (2011). Multiplex measurement of proinflammatory cytokines in human serum: Comparison of the Meso Scale Discovery electrochemiluminescence assay and the Cytometric Bead Array. Journal of Immunological Methods, 372(1–2), 71–77. https://doi.org/10.1038/jid.2014.371. CrossRefPubMedPubMedCentral

Dantzer, R., O'Connor, J. C., Freund, G. G., Johnson, R. W., & Kelley, K. W. (2008). From inflammation to sickness and depression: when the immune system subjugates the brain. Nature Reviews Neuroscience, 9(1), 46–57. CrossRef

de Ferranti, S. D., Gauvreau, K., Ludwih, D. S., Newburger, J. W., & Rifai, N. (2006). Inflammation and changes in metabolic syndrome abnormalities in US adolescents: Findings from the 1988–1994 and 1999–2000 National Health and Nutrition Examination Surveys. Clinical Chemistry, 52(7), 1325–1330. CrossRef

Deverts, D. J., Cohen, S., Kalra, P., & Matthews, K. A. (2012). The prospective association of socioeconomic status with C-reactive protein levels in the CARDIA study. Brain Behavior and Immunity, 26(7), 1128–1135. https://doi.org/10.1016/j.bbi.2012.07.017. CrossRef

Dhabhar, F. S., Burke, H. M., Epel, E. S., Mellon, S. H., Rosser, R., Reus, V. I., & Wolkowitz, O. M. (2009). Low serum IL-10 concentrations and loss of regulatory association between IL-6 and IL-10 in adults with major depression. Journal of Psychiatric Research, 43(11), 962–969. https://doi.org/10.1016/j.jpsychires.2009.05.010. CrossRefPubMed

Dickerson, S. S., Gable, S. L., Irwin, M. R., Aziz, N., & Kemeny, M. E. (2009). Social-Evaluative Threat and Proinflammatory Cytokine Regulation. Psychological Science, 20(10), 1237–1244. https://doi.org/10.1111/j.1467-9280.2009.02437.x. CrossRefPubMedPubMedCentral

Dominguez-Rodriguez, A., Abreu-Gonzalex, P., & Kaski, J. C. (2009). Inflammatory systemic biomarkers in setting acute coronary syndromes—Effects of the diurnal variation. Current Drug Targets, 10(10), 1001–1008. CrossRef

Dowlati, Y., Herrmann, N., Swardfager, W., Liu, H., Sham, L., Reim, E. K., & Lanctôt, K. L. (2010). A meta-analysis of cytokines in major depression. Biological Psychiatry, 67(5), 446–457. https://doi.org/10.1016/j.biopsych.2009.09.033. CrossRefPubMed

Duivis, H. E., Kupper, N., Vermunt, J. K., Penninx, B. W., Bosch, N. M., Riese, H., & de Jonge, P. (2015). Depression trajectories, inflammation, and lifestyle factors in adolescence: The Tracking Adolescents’ Individual Lives Survey. Health Psychology, 34(11), 1047–1057. https://doi.org/10.1037/hea0000210. CrossRefPubMed

Garber, J., & Weersing, V. R. (2010). Comorbidity of anxiety and depression in youth: Implications for treatment and prevention. Clinical Psychology: Science and Practice, 17, 263–306.

Goodwin, R. D., Fergusson, D. M., & Horwood, L. J. (2004). Asthma and depressive and anxiety disorders among young persons in the community. Psychological Medicine, 34(8), 1465–74. https://doi.org/10.1017/S0033291704002739. CrossRefPubMed

Grant, D. M., Judah, M. R., Mills, A. C., Lechner, W. V., Davidson, C. L., & Wingate, L. R. (2014). Rumination and excessive reassurance seeking: Mediators of the relationship between social anxiety and depression? Journal of Psychopathology and Behavioral Assessment, 36(3), 465–474. https://doi.org/10.1007/s10862-013-9399-5. CrossRef

Haapakoski, R., Mathieu, J., Ebmeier, K. P., Alenius, H., & Kivimäki, M. (2015). Cumulative meta-analysis of interleukins 6 and 1β, tumour necrosis factor α and C-reactive protein in patients with major depressive disorder. Brain, Behavior, and Immunity, 49, 206–215. https://doi.org/10.1016/j.bbi.2015.06.001. CrossRefPubMedPubMedCentral

Hamilton, J. L., Potter, C. M., Olino, T. M., Abramson, L. Y., Heimberg, R. G., & Alloy, L. B. (2016). TheTemporal Sequence of Social Anxiety and Depressive Symptoms Following Interpersonal Stressors During Adolescence. Journal of Abnormal Child Psychology, 44, 495–509. https://doi.org/10.1007/s10802-015-0049-0. CrossRefPubMedPubMedCentral

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(1), 128–140. https://doi.org/10.1037/0021-843X.107.1.128. CrossRefPubMed

Hart, B. L. (1988). Biological basis of the behavior of sick animals. Neuroscience & Biobehavioral Reviews, 12(2), 123–137. https://doi.org/10.1016/S0149-7634(88)80004-6. CrossRef

Hayes, A. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press.

Horn, P. J., & Wuyek, L. A. (2010). Anxiety disorders as a risk factor for subsequent depression. International Journal of Psychiatry in Clinical Practice, 14(4), 244–7. https://doi.org/10.3109/13651501.2010.487979. CrossRefPubMed

Howren, M. B., Lamkin, D. M., & Suls, J. (2009). Associations of depression with C-reactive protein, IL-1, and IL-6: A meta-analysis. Psychosomatic Medicine, 71(2), 171–186. https://doi.org/10.1097/PSY.0b013e3181907c1b. CrossRefPubMed

IBM Corp. (2016). IBM SPSS Statistics for Windows, Version 23.0. Armonk, NY: IBM Corp.

Kessler, R. C., Avenevoli, S., Costello, E. J., Georgiades, K., Green, J. G., Gruber, M. J., & 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. CrossRefPubMed

Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General, 62(6), 593–602. CrossRef

Khandaker, G. M., Zammit, S., Lewis, G., & Jones, P. B. (2016). Neurobiology of stress association between serum C-reactive protein and DSM-IV generalized anxiety disorder in adolescence: Findings from the ALSPAC cohort. Neurobiology of Stress, 4, 55–61. https://doi.org/10.1016/j.ynstr.2016.02.003. CrossRefPubMedPubMedCentral

Klein, D., Dougherty, L. R., & Olino, T. M. (2005). Toward guidelines for evidence-based assessment of depression in children and adolescents. Journal of Clinical Child & Adolescent Psychology, 34(3), 412 https://doi.org/10.1207/s15374424jccp3403. 432. CrossRef

Kovacs, M. (1985). The Chidlren’s Depression Inventory (CDI). Psychopharmacology Bulletin, 21(4), 995–998. PubMed

Lavigne, J. V., Hopkins, J., Gouze, K. R., & Bryant, F. B. (2015). Bidirectional influences of anxiety and depression in young children. Journal of Abnormal Child Psychology, 43(1), 163–176. https://doi.org/10.1007/s10802-014-9884-7. CrossRefPubMedPubMedCentral

Letcher, P., Sanson, A., Smart, D., & Toumbourou, J. W. (2017). Precursors and correlates of anxiety trajectories from late childhood to late adolescence precursors and correlates of anxiety trajectories from late childhood to late adolescence. Journal of Clinical Child & Adolescent Psychology, 41(4), 417–432. https://doi.org/10.1080/15374416.2012.680189. CrossRef

Liukkonen, T., Räsänen, P., Jokelainen, J., Leinonen, M., Järvelin, M. R., Meyer-Rochow, V. B., & Timonen, M. (2011). The association between anxiety and C-reactive protein (CRP) levels: Results from the Northern Finland 1966 Birth Cohort Study. European Psychiatry, 26(6), 363–369. https://doi.org/10.1016/j.eurpsy.2011.02.001. CrossRefPubMed

March, J. S., Parker, J. D. A., 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. CrossRefPubMed

March, J. S., Sullivan, K., & Parker, J. (1999). Test–retest reliability of the multidimensional anxiety scale for children. Journal of Anxiety Disorders, 13(4), 349–358. https://doi.org/10.1016/S0887-6185(99)00009-2. CrossRefPubMed

McEwen, B., & Stellar, E. (1993). Stress and the individual: Mechanisms leading to disease. Archives of Internal, 153, 2093–2101. CrossRef

McLaughlin, K. A., & Nolen-Hoeksema, S. (2011). Rumination as a transdiagnostic factor in depression and anxiety. Behaviour Research and Therapy, 49(3), 186–193. https://doi.org/10.1016/j.brat.2010.12.006. CrossRefPubMed

Meeus, W. (2011). The study of adolescent identity formation 2000–2010: A review of longitudinal research. Journal of Research on Adolescence, 21(1), 75–94. https://doi.org/10.1111/j.1532-7795.2010.00716.x. CrossRef

Michopoulos, V., Powers, A., Gillespie, C. F., Ressler, K. J., & Jovanovic, T. (2016). Inflammation in fear- and anxiety-based disorders: PTSD, GAD and beyond. Neuropsychopharmacology, 42(April), 1–53. https://doi.org/10.1038/npp.2016.146. CrossRef

Miller, A. H., Maletic, V., & Raison, C. L. (2009). Inflammation and its discontents: The role of cytokines in the pathophysiology of major depression. Biological Psychiatry, 65(9), 732–41. https://doi.org/10.1016/j.biopsych.2008.11.029. CrossRefPubMedPubMedCentral

Miller, G. E., & Cole, S. W. (2012). Clustering of depression and inflammation in adolescents previously exposed to childhood adversity. Biological Psychiatry, 72(1), 34–40. https://doi.org/10.1016/j.biopsych.2012.02.034.CLUSTERING. CrossRefPubMedPubMedCentral

Mills, N. T., Scott, J. G., Wray, N. R., Cohen-Woods, S., & Baune, B. T. (2013). Research review: The role of cytokines in depression in adolescents: A systematic review. Journal of Child Psychology and Psychiatry and Allied Disciplines, 54(8), 816–835. https://doi.org/10.1111/jcpp.12080. CrossRef

Moffitt, T. E., Harrington, H., Caspi, A., Kim-cohen, J., Goldberg, D., Gregory, A. M., & Poulton, R. (2007). Depression and generalized anxiety disorder: Cumulative and sequential comorbidity in a birth cohort followed prospectively to age 32 years. Archives of General Psychiatry, 64(6), 651–660. CrossRef

Moons, W. G., Eisenberger, N. I., & Taylor, S. E. (2010). Anger and fear responses to stress have different biological profiles. Brain, Behavior, and Immunity, 24(2), 215–9. https://doi.org/10.1016/j.bbi.2009.08.009. CrossRefPubMed

Moriarity, D. P., Mac Giollabhui, N., Ellman, L. M., Klugman, J., Coe, C. L., Abramson, L. Y., & Alloy, L. B. (2018). Inflammatory proteins predict change in depressive symptoms in male and female adolescents. Manuscript under Review.

Morrow, J., & Nolen-Hoeksema, S. (1990). Effects of responses to depression on the remediation of depressive affect. Journal of Personality and Social Psychology, 58(3), 519–527. https://doi.org/10.1037/0022-3514.58.3.519. CrossRefPubMed

Muris, P., Roelofs, J., Meesters, C., & Boomsma, P. (2004). Rumination and worry in nonclinical adolescents. Cognitive Therapy and Research, 28(4), 539–554. https://doi.org/10.1023/B:COTR.0000045563.66060.3e. CrossRef

Naudé, P. J. W., Roest, A. M., Stein, D. J., de Jonge, P., & Doornbos, B. (2018). Anxiety disorders and CRP in a population cohort study with 54,326 participants: The LifeLines study. World Journal of Biological Psychiatry, 1–10. https://doi.org/10.1080/15622975.2018.1433325. CrossRef

Nolen-Hoeksema, S. (1991). Responses to depression and their effects on the duration of depressive episodes. Journal of Abnormal Psychology, 100(4), 569–582. https://doi.org/10.1037/0021-843X.100.4.569. CrossRefPubMedPubMedCentral

Pallavi, P., Sagar, R., Mehta, M., Sharma, S., Subramanium, A., Shamshi, F., & Mukhopadhyay, A. K. (2015). Serum cytokines and anxiety in adolescent depression patients: Gender effect. Psychiatry Research, 229(1–2), 374–380. https://doi.org/10.1016/j.psychres.2015.06.036. CrossRefPubMed

Segerstrom, S. C., & Miller, G. E. (2004). Psychological stress and the human immune system: A meta-analytic study of 30 years of inquiry. Psychological Bulletin, 130(4), 601–630. https://doi.org/10.1037/0033-2909.130.4.601. CrossRefPubMedPubMedCentral

Slavich, G. M., & Irwin, M. R. (2014). From stress to inflammation and major depressive disorder: A social signal transduction theory of depression. Psychological Bulletin, 140(3), 774–815. https://doi.org/10.1037/a0035302. CrossRefPubMedPubMedCentral

Spasojevic, J., & Alloy, L. B. (2001). Rumination as a common mechanism relating depressive risk factors to depression. Emotion, 1(1), 25–37. https://doi.org/10.1037//1528-3542.1.1.25. CrossRefPubMed

Starr, L. R., Stroud, C. B., & Li, Y. I. (2016). Predicting the transition from anxiety to depressive symptoms in early adolescence: Negative anxiety response style as a moderator of sequential comorbidity. Journal of Affective Disorders, 190, 757–763. https://doi.org/10.1016/j.jad.2015.10.065. CrossRefPubMed

Thapar, A., Collishaw, S., Pine, D. S., & Thapar, A. K. (2012). Depression in adolescence. The Lancet, 379, 1056–1067. https://doi.org/10.1016/S0140-6736(11)60871-4. CrossRef

van Lang, N. D. J., Ferdinand, R. F., & Verhulst, F. C. (2007). Predictors of future depression in early and late adolescence. Journal of Affective Disorders, 97, 137–144. https://doi.org/10.1016/j.jad.2006.06.007. CrossRefPubMed

Whooley, M. A. (2006). Depression and cardiovascular disease healing the broken-hearted. JAMA, 295(24), 2874–2881. CrossRef

Zoccola, P. M., Figueroa, W. S., Rabideau, E. M., & Woody, A. (2013). Differential effects of post-stressor rumination and distraction on C-reactive protein in healthy women. Psychosomatic Medicine, 75(3), A-41 https://doi.org/10.1037/hea0000019. CrossRef

Titel: Immunocognitive Model of Depression Secondary to Anxiety in Adolescents
Auteurs:: Daniel P. Moriarity
Brae Anne McArthur
Lauren M. Ellman
Christopher L. Coe
Lyn Y. Abramson
Lauren B. Alloy
Publicatiedatum: 07-08-2018
DOI: https://doi.org/10.1007/s10964-018-0905-7
Uitgeverij: Springer US
Tijdschrift: Journal of Youth and Adolescence A Multidisciplinary Research Publication
Uitgave 12/2018
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Tip

Swipe om te navigeren naar een ander artikel

Immunocognitive Model of Depression Secondary to Anxiety in Adolescents

Abstract

Log in om toegang te krijgen

Met onderstaand(e) abonnement(en) heeft u direct toegang:

BSL Psychologie Totaal

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Tip

Swipe om te navigeren naar een ander artikel

Abstract

Log in om toegang te krijgen

Met onderstaand(e) abonnement(en) heeft u direct toegang:

BSL Psychologie Totaal

Andere artikelen Uitgave 12/2018

The Influences of Family and Place on Rural Adolescents’ Educational Aspirations and Post-secondary Enrollment

Are the Benefits of Economic Resources for Socioemotional Functioning Shared across Racial/Ethnic Groups?

Patterns of Spiritual Connectedness during Adolescence: Links to Coping and Adjustment in Low-Income Urban Youth

Examining the Bidirectional Associations between Adolescents’ Disclosure, Parents’ Solicitation, and Adjustment Problems among Non-Hispanic White and Hispanic Early Adolescents

Positive and Negative Emotions: Differential Associations with Sleep Duration and Quality in Adolescents

Emerging Scholar Best Article Award, 2018