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04-11-2017 | Uitgave 6/2018

The Behavioral Approach System (BAS) Model of Vulnerability to Bipolar Disorder: Evidence of a Continuum in BAS Sensitivity across Adolescence

Tijdschrift:: Research on Child and Adolescent Psychopathology > Uitgave 6/2018

Auteurs:: Richard T. Liu, Taylor A. Burke, Lyn Y. Abramson, Lauren B. Alloy

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Abstract

Behavioral Approach System (BAS) sensitivity has been implicated in the development of a variety of different psychiatric disorders. Prominent among these in the empirical literature are bipolar spectrum disorders (BSDs). Given that adolescence represents a critical developmental stage of risk for the onset of BSDs, it is important to clarify the latent structure of BAS sensitivity in this period of development. A statistical approach especially well-suited for delineating the latent structure of BAS sensitivity is taxometric analysis, which is designed to evaluate whether the latent structure of a construct is taxonic (i.e., categorical) or dimensional (i.e., continuous) in nature. The current study applied three mathematically non-redundant taxometric procedures (i.e., MAMBAC, MAXEIG, and L-Mode) to a large community sample of adolescents (n = 12,494) who completed two separate measures of BAS sensitivity: the BIS/BAS Scales Carver and White (Journal of Personality and Social Psychology, 67, 319–333. 1994) and the Sensitivity to Reward and Sensitivity to Punishment Questionnaire (Torrubia et al. Personality and Individual Differences, 31, 837–862. 2001). Given the significant developmental changes in reward sensitivity that occur across adolescence, the current investigation aimed to provide a fine-grained evaluation of the data by performing taxometric analyses at an age-by-age level (14–19 years; n for each age ≥ 883). Results derived from taxometric procedures, across all ages tested, were highly consistent, providing strong evidence that BAS sensitivity is best conceptualized as dimensional in nature. Thus, the findings suggest that BAS-related vulnerability to BSDs exists along a continuum of severity, with no natural cut-point qualitatively differentiating high- and low-risk adolescents. Clinical and research implications for the assessment of BSD-related vulnerability are discussed.

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Meer informatie

Ahmed, A. O., Green, B. A., Clark, C. B., Stahl, K. C., & McFarland, M. E. (2011). Latent structure of unipolar and bipolar mood symptoms. Bipolar Disorders, 13, 522–536. https://doi.org/10.1111/j.1399-5618.2011.00940.x. PubMed

Ahmed, A. O., Strauss, G. P., Buchanan, R. W., Kirkpatrick, B., & Carpenter, W. T. (2015). Are negative symptoms dimensional or categorical? Detection and validation of deficit schizophrenia with taxometric and latent variable mixture models. Schizophrenia Bulletin, 41, 879–891. https://doi.org/10.1093/schbul/sbu163. PubMed

Alloy, L. B., & Abramson, L. Y. (2010). The role of the behavioral approach system (BAS) in bipolar spectrum disorders. Current Directions in Psychological Science, 19, 189–194. https://doi.org/10.1177/0963721410370292. PubMedPubMedCentral

Alloy, L. B., Abramson, L. Y., Walshaw, P. D., Keyser, J., & Gerstein, R. K. (2006). A cognitive vulnerability-stress perspective on bipolar spectrum disorders in a normative adolescent brain, cognitive, and emotional development context. Development and Psychopathology, 18, 1055–1103. https://doi.org/10.1017/S0954579406060524. PubMed

Alloy, L. B., Abramson, L. Y., Walshaw, P. D., Cogswell, A., Grandin, L. D., Hughes, M. E., Iacoviello, B. M., et al. (2008). Behavioral approach system and behavioral inhibition system sensitivities and bipolar spectrum disorders: Prospective prediction of bipolar mood episodes. Bipolar Disorders, 10, 310–322. https://doi.org/10.1111/j.1399-5618.2007.00547.x. PubMed

Alloy, L. B., Bender, R. E., Whitehouse, W. G., Wagner, C. A., Liu, R. T., Grant, D. A., Jager-Hyman, S., et al. (2012a). High behavioral approach system (BAS) sensitivity, reward responsiveness, and goal-striving predict first onset of bipolar spectrum disorders: A prospective behavioral high-risk design. Journal of Abnormal Psychology, 121, 16–27. https://doi.org/10.1037/a0025877. PubMed

Alloy, L. B., Urošević, S., Abramson, L. Y., Jager-Hyman, S., Nusslock, R., Whitehouse, W. G., & Hogan, M. (2012b). Progression along the bipolar spectrum: A longitudinal study of predictors of conversion from bipolar spectrum conditions to bipolar I and II disorders. Journal of Abnormal Psychology, 121, 16–27. https://doi.org/10.1037/a0023973. PubMed

Alloy, L. B., Nusslock, R., & Boland, E. M. (2015). The development and course of bipolar spectrum disorders: An integrated reward and circadian rhythm dysregulation model. Annual Review of Clinical Psychology, 11, 213–250. https://doi.org/10.1146/annurev-clinpsy-032814-112902. PubMedPubMedCentral

Alloy, L. B., Olino, T., Freed, R. D., & Nusslock, R. (2016). Role of reward sensitivity and processing in major depressive and bipolar spectrum disorders. Behavior Therapy, 47, 600–621. https://doi.org/10.1016/j.beth.2016.02.014. PubMedPubMedCentral

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders: DSM-5. Washington, DC: American Psychiatric Association.

Amstadter, A. B., Daughters, S. B., Macpherson, L., Reynolds, E. K., Danielson, C. K., Wang, F., Potenza, M. N., et al. (2012). Genetic associations with performance on a behavioral measure of distress intolerance. Journal of Psychiatric Research, 46, 87–94. https://doi.org/10.1016/j.jpsychires.2011.09.017. PubMed

Bellivier, F., Golmard, J. L., Henry, C., Leboyer, M., & Schürhoff, F. (2001). Admixture analysis of age at onset in bipolar I affective disorder. Archives of General Psychiatry, 58, 510–512. PubMed

Bellivier, F., Golmard, J.-L., Rietschel, M., Schulze, T. G., Malafosse, A., Preisig, M., McKeon, P., et al. (2003). Age at onset in bipolar I affective disorder: Further evidence for three subgroups. American Journal of Psychiatry, 160, 999–1001. https://doi.org/10.1176/appi.ajp.160.5.999. PubMed

Blakemore, S.-J., & Robbins, T. W. (2012). Decision-making in the adolescent brain. Nature Neuroscience, 15, 1184–1191. https://doi.org/10.1038/nn.3177. PubMed

Carter, J. S., & Garber, J. (2011). Predictors of the first onset of a major depressive episode and changes in depressive symptoms across adolescence: Stress and negative cognitions. Journal of Abnormal Psychology, 120, 779–796. https://doi.org/10.1037/a0025441. PubMed

Carver, C. S., & White, T. L. (1994). Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS scales. Journal of Personality and Social Psychology, 67, 319–333. https://doi.org/10.1037/0022-3514.67.2.319.

Casey, B. J., Galvan, A., & Hare, T. A. (2005). Changes in cerebral functional organization during cognitive development. Current Opinion in Neurobiology, 15, 239–244. https://doi.org/10.1016/j.conb.2005.03.012. PubMed

Casey, B. J., Getz, S., & Galvan, A. (2008). The adolescent brain. Developmental Review, 28, 62–77. https://doi.org/10.1016/j.dr.2007.08.003. PubMed

Cassidy, F., Ahearn, E. P., & Carroll, B. J. (2001). Substance abuse in bipolar disorder. Bipolar Disorders, 3, 181–188. PubMed

Collado, A., Felton, J. W., MacPherson, L., & Lejuez, C. W. (2014). Longitudinal trajectories of sensation seeking, risk taking propensity, and impulsivity across early to middle adolescence. Addictive Behaviors, 39, 1580–1588. https://doi.org/10.1016/j.addbeh.2014.01.024. PubMedPubMedCentral

Cyders, M. A., & Coskunpinar, A. (2011). Measurement of constructs using self-report and behavioral lab tasks: Is there overlap in nomothetic span and construct representation for impulsivity? Clinical Psychology Review, 31, 965–982. https://doi.org/10.1016/j.cpr.2011.06.001. PubMed

Davey, C. G., Yücel, M., & Allen, N. B. (2008). The emergence of depression in adolescence: Development of the prefrontal cortex and the representation of reward. Neuroscience and Biobehavioral Reviews, 32, 1–19. https://doi.org/10.1016/j.neubiorev.2007.04.016. PubMed

Delgado, M. R., Nystrom, L. E., Fissell, C., Noll, D. C., & Fiez, J. A. (2000). Tracking the hemodynamic responses to reward and punishment in the striatum. Journal of Neurophysiology, 84, 3072–3077. PubMed

Depue, R. A., & Iacono, W. G. (1989). Neurobehavioral aspects of affective disorders. Annual Review of Psychology, 40, 457–492. https://doi.org/10.1146/annurev.ps.40.020189.002325. PubMed

Duckworth, A. L., & Kern, M. L. (2011). A meta-analysis of the convergent validity of self-control measures. Journal of Research in Personality, 45, 259–268. https://doi.org/10.1016/j.jrp.2011.02.004. PubMedPubMedCentral

Ernst, M., Nelson, E. E., Jazbec, S., McClure, E. B., Monk, C. S., Leibenluft, E., Blair, J., et al. (2005). Amygdala and nucleus accumbens in responses to receipt and omission of gains in adults and adolescents. NeuroImage, 25, 1279–1291. https://doi.org/10.1016/j.neuroimage.2004.12.038. PubMed

Fagiolini, A., Forgione, R., Maccari, M., Cuomo, A., Morana, B., Dell’Osso, M. C., Pellegrini, F., et al. (2013). Prevalence, chronicity, burden and borders of bipolar disorder. Journal of Affective Disorders, 148, 161–169. https://doi.org/10.1016/j.jad.2013.02.001. PubMed

Findling, R. L., Youngstrom, E. A., Fristad, M. A., Birmaher, B., Kowatch, R. A., Arnold, L. E., Frazier, T. W., et al. (2010). Characteristics of children with elevated symptoms of mania: The longitudinal assessment of manic symptoms (LAMS) study. Journal of Clinical Psychiatry, 71, 1664–1672. https://doi.org/10.4088/JCP.09m05859yel. PubMed

Fraley, R. C., & Waller, N. G. (1998). Adult attachment patterns: A test of the typology models. In J. A. Simpson & W. S. Rholes (Eds.), Attachment theory and close relationships (pp. 77–114). New York: Guilford Press.

Franken, I. H. A., & Muris, P. (2006). BIS/BAS personality characteristics and college students’ substance use. Personality and Individual Differences, 40, 1497–1503. https://doi.org/10.1016/j.paid.2005.12.005.

Galván, A. (2013). The teenage brain: Sensitivity to rewards. Current Directions in Psychological Science, 22, 88–93. https://doi.org/10.1177/0963721413480859.

Galvan, A., Hare, T. A., Parra, C. E., Penn, J., Voss, H., Glover, G., & Casey, B. J. (2006). Earlier development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents. Journal of Neuroscience, 26, 6885–6892. https://doi.org/10.1523/JNEUROSCI.1062-06.2006. PubMed

Gibb, B. E., Alloy, L. B., Abramson, L. Y., Beevers, C. G., & Miller, I. W. (2004). Cognitive vulnerability to depression: A taxometric analysis. Journal of Abnormal Psychology, 113, 81–89. https://doi.org/10.1037/0021-843X.113.1.81. PubMed

Goodman, S. H., & Gotlib, I. H. (1999). Risk for psychopathology in the children of depressed mothers: A developmental model for understanding mechanisms of transmission. Psychological Review, 106, 458–490. PubMed

Gray, J. A. (1991). Neural systems, emotion and personality. In J. Madden (Ed.), Neurobiology of learning, emotion, and affect (pp. 273–306). New York: Raven Press.

Haeffel, G. J., Abramson, L. Y., Voelz, Z. R., Metalsky, G. I., Halberstadt, L., Dykman, B. M., Donovan, P., et al. (2005). Negative cognitive styles, dysfunctional attitudes, and the remitted depression paradigm: A search for the elusive cognitive vulnerability to depression factor among remitted depressives. Emotion, 5, 343–348. https://doi.org/10.1037/1528-3542.5.3.343.

Hankin, B. L., Fraley, R. C., Lahey, B. B., & Waldman, I. D. (2005). Is depression best viewed as a continuum or discrete category? A taxometric analysis of childhood and adolescent depression in a population-based sample. Journal of Abnormal Psychology, 114, 96–110. https://doi.org/10.1037/0021-843X.114.1.96. PubMed

Harmon-Jones, E., Abramson, L. Y., Nusslock, R., Sigelman, J. D., Urosevic, S., Turonie, L. D., Alloy, L. B., et al. (2008). Effect of bipolar disorder on left frontal cortical responses to goals differing in valence and task difficulty. Biological Psychiatry, 63, 693–698. https://doi.org/10.1016/j.biopsych.2007.08.004. PubMed

Haslam, N., Holland, E., & Kuppens, P. (2012). Categories versus dimensions in personality and psychopathology: A quantitative review of taxometric research. Psychological Medicine, 42, 903–920. https://doi.org/10.1017/S0033291711001966. PubMed

Hoang, U., Stewart, R., & Goldacre, M. J. (2011). Mortality after hospital discharge for people with schizophrenia or bipolar disorder: Retrospective study of linked English hospital episode statistics, 1999-2006. BMJ, 343, d5422. https://doi.org/10.1136/bmj.d5422. PubMedPubMedCentral

Hommer, D. W., Bjork, J. M., & Gilman, J. M. (2011). Imaging brain response to reward in addictive disorders. Annals of the New York Academy of Sciences, 1216, 50–61. https://doi.org/10.1111/j.1749-6632.2010.05898.x. PubMed

Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., Sanislow, C., et al. (2010). Research domain criteria (RDoC): Toward a new classification framework for research on mental disorders. American Journal of Psychiatry, 167, 748–751. https://doi.org/10.1176/appi.ajp.2010.09091379. PubMed

Johnson, S. L. (2005). Life events in bipolar disorder: Towards more specific models. Clinical Psychology Review, the psychology of. bipolar disorder, 25, 1008–1027. https://doi.org/10.1016/j.cpr.2005.06.004.

Johnson, S. L., & Roberts, J. E. (1995). Life events and bipolar disorder: Implications from biological theories. Psychological Bulletin, 117, 434–449. https://doi.org/10.1037/0033-2909.117.3.434. PubMed

Johnson, S. L., Sandrow, D., Meyer, B., Winters, R., Miller, I., Solomon, D., & Keitner, G. (2000). Increases in manic symptoms after life events involving goal attainment. Journal of Abnormal Psychology, 109, 721–727. PubMedPubMedCentral

Johnson, S. L., Cueller, A. K., Ruggero, C., Winett-Perlman, C., Goodnick, P., White, R., & Miller, I. (2008). Life events as predictors of mania and depression in bipolar I disorder. Journal of Abnormal Psychology, 117, 268–277. https://doi.org/10.1037/0021-843X.117.2.268. PubMedPubMedCentral

Just, N., Abramson, L. Y., & Alloy, L. B. (2001). Remitted depression studies as tests of the cognitive vulnerability hypotheses of depression onset: A critique and conceptual analysis. Clinical Psychology Review, 21, 63–83. https://doi.org/10.1016/S0272-7358(99)00035-5. PubMed

Kessler, R. C., Avenevoli, S., Costello, E. J., Georgiades, K., Green, J. G., Gruber, M. J., He, J., et al. (2012). Prevalence, persistence, and sociodemographic correlates of DSM-IV disorders in the National Comorbidity Survey Replication Adolescent Supplement. Archives of General Psychiatry, 69, 372–380. https://doi.org/10.1001/archgenpsychiatry.2011.160. PubMed

Kleine-Budde, K., Touil, E., Moock, J., Bramesfeld, A., Kawohl, W., & Rössler, W. (2014). Cost of illness for bipolar disorder: A systematic review of the economic burden. Bipolar Disorders, 16, 337–353. https://doi.org/10.1111/bdi.12165. PubMed

Kupfer, D. J. (2005). The increasing medical burden in bipolar disorder. JAMA, 293, 2528–2530. https://doi.org/10.1001/jama.293.20.2528. PubMed

Liu, R. T. (2016). Taxometric evidence of a dimensional latent structure for depression in an epidemiological sample of children and adolescents. Psychological Medicine, 46, 1265–1275. https://doi.org/10.1017/S0033291715002792. PubMedPubMedCentral

Lobbestael, J., Arntz, A., & Wiers, R. W. (2008). How to push someone’s buttons: A comparison of four anger-induction methods. Cognition and Emotion, 22, 353–373. https://doi.org/10.1080/02699930701438285.

Lupien, S. J., McEwen, B. S., Gunnar, M. R., & Heim, C. (2009). Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nature Reviews Neuroscience, 10, 434–445. https://doi.org/10.1038/nrn2639. PubMed

MacCallum, R. C., Zhang, S., Preacher, K. J., & Rucker, D. D. (2002). On the practice of dichotomization of quantitative variables. Psychological Methods, 7, 19–40. https://doi.org/10.1037/1082-989X.7.1.19. PubMed

Marcus, D. K., & Barry, T. D. (2011). Does attention-deficit/hyperactivity disorder have a dimensional latent structure? A taxometric analysis. Journal of Abnormal Psychology, 120, 427–442. https://doi.org/10.1037/a0021405. PubMedPubMedCentral

Maxwell, S. E., & Delaney, H. D. (1993). Bivariate median splits and spurious statistical significance. Psychological Bulletin, 113, 181–190. https://doi.org/10.1037/0033-2909.113.1.181.

McClelland, G. H., & Judd, C. M. (1993). Statistical difficulties of detecting interactions and moderator effects. Psychological Bulletin, 114, 376–390. PubMed

McGorry, P. D., Purcell, R., Goldstone, S., & Amminger, G. P. (2011). Age of onset and timing of treatment for mental and substance use disorders: Implications for preventive intervention strategies and models of care. Current Opinion in Psychiatry, 24, 301–306. https://doi.org/10.1097/YCO.0b013e3283477a09. PubMed

McHugh, R. K., Daughters, S. B., Lejuez, C. W., Murray, H. W., Hearon, B. A., Gorka, S. M., & Otto, M. W. (2011). Shared variance among self-report and behavioral measures of distress intolerance. Cognitive Therapy and Research, 35, 266–275. https://doi.org/10.1007/s10608-010-9295-1. PubMedPubMedCentral

McIntyre, R. S., Konarski, J. Z., Soczynska, J. K., Wilkins, K., Panjwani, G., Bouffard, B., Bottas, A., et al. (2006). Medical comorbidity in bipolar disorder: Implications for functional outcomes and health service utilization. Psychiatric Services, 57, 1140–1144. https://doi.org/10.1176/appi.ps.57.8.1140. PubMed

Meehl, P. E. (1977). Specific etiology and other forms of strong influence: Some quantitative meanings. Journal of Medicine and Philosophy, 2, 33–53.

Meehl, P. E. (1995). Bootstraps taxometrics: Solving the classification problem in psychopathology. American Psychologist, 50, 266–275. https://doi.org/10.1037/0003-066X.50.4.266. PubMed

Meehl, P. E., & Golden, R. (1982). Taxometric methods. In P. Kendall & J. Butcher (Eds.), Handbook of research methods in clinical psychology (pp. 127–181). New York: Wiley.

Meehl, P. E., & Yonce, L. J. (1994). Taxometric analysis: I. Detecting taxonicity with two quantitative indicators using means above and below a sliding cut (MAMBAC procedure). Psychological reports, 74, 1059-1274. Psychological Reports, 74, 1059–1274.

Meehl, P. E., & Yonce, L. J. (1996). Taxometric analysis: II. Detecting taxonicity using covariance of two quantitative indicators in successive intervals of a third indicator (Maxcov procedure). Psychological Reports, 78, 1091–1227.

Merikangas, K. R., He, J.-P., Burstein, M., Swanson, S. A., Avenevoli, S., Cui, L., Benjet, C., et al. (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 and Adolescent Psychiatry, 49, 980–989. https://doi.org/10.1016/j.jaac.2010.05.017. PubMedPubMedCentral

Meyer, T. D., & Keller, F. (2003). Is there evidence for a latent class called “hypomanic temperament”? Journal of Affective Disorders, 75, 259–267. https://doi.org/10.1016/S0165-0327(02)00051-4. PubMed

Meyer, B., Johnson, S. L., & Winters, R. (2001). Responsiveness to threat and incentive in bipolar disorder: Relations of the BIS/BAS scales with symptoms. Journal of Psychopathology and Behavioral Assessment, 23, 133–143. https://doi.org/10.1023/A:1010929402770. PubMedPubMedCentral

Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience, 24, 167–202. https://doi.org/10.1146/annurev.neuro.24.1.167. PubMed

Monroe, S. M., & Simons, A. D. (1991). Diathesis-stress theories in the context of life stress research: Implications for the depressive disorders. Psychological Bulletin, 110, 406–425. https://doi.org/10.1037/0033-2909.110.3.406. PubMed

Murrie, D. C., Marcus, D. K., Douglas, K. S., Lee, Z., Salekin, R. T., & Vincent, G. (2007). Youth with psychopathy features are not a discrete class: A taxometric analysis. Journal of Child Psychology and Psychiatry, 48, 714–723. https://doi.org/10.1111/j.1469-7610.2007.01734.x. PubMed

Nisbett, R. E., & Wilson, T. D. (1977). Telling more than we can know: Verbal reports on mental processes. Psychological Review, 84, 231–259. https://doi.org/10.1037/0033-295X.84.3.231.

Nurnberger, J. I. J., Koller, D. L., Jung, J., Edenberg, H. J., Foroud, T., Guella, I., Vawter, M. P., et al. (2014). Identification of pathways for bipolar disorder: A meta-analysis. JAMA Psychiatry, 71, 657–664. https://doi.org/10.1001/jamapsychiatry.2014.176. PubMedPubMedCentral

Nusslock, R., Abramson, L. Y., Harmon-Jones, E., Alloy, L. B., & Hogan, M. E. (2007). A goal-striving life event and the onset of hypomanic and depressive episodes and symptoms: Perspective from the behavioral approach system (BAS) dysregulation theory. Journal of Abnormal Psychology, 116, 105–115. https://doi.org/10.1037/0021-843X.116.1.105. PubMed

Nusslock, R., Harmon-Jones, E., Alloy, L. B., Urosevic, S., Goldstein, K., & Abramson, L. Y. (2012). Elevated left mid-frontal cortical activity prospectively predicts conversion to bipolar I disorder. Journal of Abnormal Psychology, 121, 592–601. https://doi.org/10.1037/a0028973. PubMedPubMedCentral

Oedegaard, K. J., Syrstad, V. E. G., Morken, G., Akiskal, H. S., & Fasmer, O. B. (2009). A study of age at onset and affective temperaments in a Norwegian sample of patients with mood disorders. Journal of Affective Disorders, 118, 229–233. https://doi.org/10.1016/j.jad.2009.01.030. PubMed

Ösby, U., Brandt, L., Correia, N., Ekbom, A., & Sparén, P. (2001). Excess mortality in bipolar and unipolar disorder in Sweden. Archives of General Psychiatry, 58, 844–850. https://doi.org/10.1001/archpsyc.58.9.844. PubMed

Pari, A. A. A., Simon, J., Wolstenholme, J., Geddes, J. R., & Goodwin, G. M. (2014). Economic evaluations in bipolar disorder: A systematic review and critical appraisal. Bipolar Disorders, 16, 557–582. https://doi.org/10.1111/bdi.12213. PubMed

Prisciandaro, J. J., & Roberts, J. E. (2011). Evidence for the continuous latent structure of mania in the epidemiologic catchment area from multiple latent structure and construct validation methodologies. Psychological Medicine, 41, 575–588. https://doi.org/10.1017/S0033291710001078. PubMed

Prisciandaro, J. J., & Tolliver, B. K. (2015). Evidence for the continuous latent structure of mania and depression in out-patients with bipolar disorder: Results from the systematic treatment enhancement program for bipolar disorder (STEP-BD). Psychological Medicine, 45, 2595–2603. https://doi.org/10.1017/S0033291715000513. PubMedPubMedCentral

Richey, J. A., Schmidt, N. B., Lonigan, C. J., Phillips, B. M., Catanzaro, S. J., Laurent, J., Gerhardstein, R. R., et al. (2009). The latent structure of child depression: A taxometric analysis. Journal of Child Psychology and Psychiatry, 50, 1147–1155. https://doi.org/10.1111/j.1469-7610.2009.02085.x. PubMed

Rizvi, S. J., Pizzagalli, D. A., Sproule, B. A., & Kennedy, S. H. (2016). Assessing anhedonia in depression: Potentials and pitfalls. Neuroscience and Biobehavioral Reviews, 65, 21–35. https://doi.org/10.1016/j.neubiorev.2016.03.004. PubMedPubMedCentral

Ruscio, A. M. (2010). The latent structure of social anxiety disorder: Consequences of shifting to a dimensional diagnosis. Journal of Abnormal Psychology, 119, 662–671. https://doi.org/10.1037/a0019341. PubMedPubMedCentral

Ruscio, J. (2013). Taxometric programs for the R computing environment: User’s manual . http://www.tcnj.edu/~ruscio/TaxProgManual%202014-07-29.pdf. Accessed 15 December 2015.

Ruscio, A. M., & Ruscio, J. (2002). The latent structure of analogue depression: Should the Beck depression inventory be used to classify groups? Psychological Assessment, 14, 135–145. https://doi.org/10.1037/1040-3590.14.2.135. PubMed

Ruscio, J., & Ruscio, A. M. (2004). Clarifying boundary issues in psychopathology: The role of taxometrics in a comprehensive program of structural research. Journal of Abnormal Psychology, 113, 24–38. https://doi.org/10.1037/0021-843X.113.1.24. PubMed

Ruscio, J., Ruscio, A. M., & Keane, T. M. (2004). Using taxometric analysis to distinguish a small latent taxon from a latent dimension with positively skewed indicators: The case of involuntary defeat syndrome. Journal of Abnormal Psychology, 113, 145–154. https://doi.org/10.1037/0021-843X.113.1.145. PubMed

Ruscio, J., Haslam, N., & Ruscio, A. M. (2006). Introduction to the Taxometric method: A practical guide. Mahwah: Lawrence Erlbaum Associates.

Ruscio, J., Ruscio, A. M., & Meron, M. (2007). Applying the bootstrap to taxometric analysis: Generating empirical sampling distributions to help interpret results. Multivariate Behavioral Research, 42, 349–386. https://doi.org/10.1080/00273170701360795. PubMed

Ruscio, J., Walters, G. D., Marcus, D. K., & Kaczetow, W. (2010). Comparing the relative fit of categorical and dimensional latent variable models using consistency tests. Psychological Assessment, 22, 5–21. https://doi.org/10.1037/a0018259. PubMed

Solomon, A., Haaga, D. A. F., & Arnow, B. A. (2001). Is clinical depression distinct from subthreshold depressive symptoms? A review of the continuity issue in depression research. Journal of Nervous and Mental Disease, 189, 498–506. https://doi.org/10.1097/00005053-200108000-00002. PubMed

Steinberg, L., Graham, S., O’Brien, L., Woolard, J., Cauffman, E., & Banich, M. (2009). Age differences in future orientation and delay discounting. Child Development, 80, 28–44. https://doi.org/10.1111/j.1467-8624.2008.01244.x. PubMed

Strube, M. J. (1989). Evidence for the type in type a behavior: A taxometric analysis. Journal of Personality and Social Psychology, 56, 972–987. https://doi.org/10.1037/0022-3514.56.6.972.

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

Torrubia, R., Ávila, C., Moltó, J., & Caseras, X. (2001). The sensitivity to punishment and sensitivity to reward questionnaire (SPSRQ) as a measure of Gray’s anxiety and impulsivity dimensions. Personality and Individual Differences, 31, 837–862. https://doi.org/10.1016/S0191-8869(00)00183-5.

Urosević, S., Abramson, L. Y., Harmon-Jones, E., & Alloy, L. B. (2008). Dysregulation of the behavioral approach system (BAS) in bipolar spectrum disorders: Review of theory and evidence. Clinical Psychology Review, 28, 1188–1205. https://doi.org/10.1016/j.cpr.2008.04.004. PubMedPubMedCentral

Van Meter, A. R., Moreira, A. L. R., & Youngstrom, E. A. (2011). Meta-analysis of epidemiologic studies of pediatric bipolar disorder. Journal of Clinical Psychiatry, 72, 1250–1256. https://doi.org/10.4088/JCP.10m06290. PubMed

Van Meter, A. R., Burke, C., Kowatch, R. A., Findling, R. L., & Youngstrom, E. A. (2016a). Ten-year updated meta-analysis of the clinical characteristics of pediatric mania and hypomania. Bipolar Disorders, 18, 19–32. https://doi.org/10.1111/bdi.12358. PubMed

Van Meter, A. R., Burke, C., Youngstrom, E. A., Faedda, G. L., & Correll, C. U. (2016b). The bipolar prodrome: Meta-analysis of symptom prevalence prior to initial or recurrent mood episodes. Journal of the American Academy of Child and Adolescent Psychiatry, 55, 543–555. https://doi.org/10.1016/j.jaac.2016.04.017. PubMed

Waller, N., & Meehl, P. E. (1998). Multivariate taxometric procedures: Distinguishing types from continua. Advanced Quantitative Techniques in the Social Sciences, 9. Thousand Oaks: Sage Publications.

Walters, G. D. (2008). The latent structure of alcohol use disorders: A taxometric analysis of structured interview data obtained from male federal prison inmates. Alcohol and Alcoholism, 43, 326–333. https://doi.org/10.1093/alcalc/agm165. PubMed

Walters, G. D., & Ruscio, J. (2010). Where do we draw the line? Assigning cases to subsamples for MAMBAC, MAXCOV, and MAXEIG taxometric analyses. Assessment, 17, 321–333. https://doi.org/10.1177/1073191109356539. PubMed

Walters, G. D., & Ruscio, J. (2013). Trajectories of youthful antisocial behavior: Categories or continua? Journal of Abnormal Child Psychology, 41, 653–666. https://doi.org/10.1007/s10802-012-9700-1. PubMed

Wang, P. S., Berglund, P., Olfson, M., Pincus, H. A., Wells, K. B., & Kessler, R. C. (2005). Failure and delay in initial treatment contact after first onset of mental disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62, 603–613. https://doi.org/10.1001/archpsyc.62.6.603. PubMed

Titel: The Behavioral Approach System (BAS) Model of Vulnerability to Bipolar Disorder: Evidence of a Continuum in BAS Sensitivity across Adolescence
Auteurs:: Richard T. Liu
Taylor A. Burke
Lyn Y. Abramson
Lauren B. Alloy
Publicatiedatum: 04-11-2017
DOI: https://doi.org/10.1007/s10802-017-0363-9
Uitgeverij: Springer US
Tijdschrift: Research on Child and Adolescent Psychopathology An official publication of the International Society for Research in Child and Adolescent Psychopathology
Uitgave 6/2018
Print ISSN: 2730-7166
Elektronisch ISSN: 2730-7174

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