Poor cognitive control is associated with nearly every mental disorder and has been proposed as a transdiagnostic risk factor for psychopathology, including depression and anxiety. What specific mechanisms might cause individuals with poor cognitive control to experience higher levels of psychopathology? The current research tests a new process model linking poor cognitive control to depression and anxiety symptoms via increased dependent stress (i.e., self-generated stressors) and subsequent rumination. This model was supported across two studies in youth during the key period for emergence of internalizing psychopathology. Study 1 provides longitudinal evidence for prospective prediction of change in symptoms. Study 2 confirms this model using well-established executive function tasks in a cross-sectional study. These findings have potential implications for understanding why cognitive control impairments may be broadly associated with psychopathology and suggest that interventions to prevent stress generation might be effective in preventing negative consequences of poor cognitive control.
Aalto-SetäläT.MarttunenM.Tuulio-HenrikssonA.PoikolainenK.LönnqvistJ. (2014). Depressive symptoms in adolescence as predictors of early adulthood depressive disorders and maladjustment. American Journal of Psychiatry, 159, 1235–1237. http://doi.org/10.1176/appi.ajp.159.7.1235
2.
AbelaJ. R. Z.RochonA.VanderbiltE. (2000). The Children’s Response Styles Questionnaire. Unpublished questionnaire.
3.
AltamiranoL. J.MiyakeA.WhitmerA. J. (2010). When mental inflexibility facilitates executive control: Beneficial side effects of ruminative tendencies on goal maintenance. Psychological Science, 21, 1377–1382. http://doi.org/10.1177/0956797610381505
4.
BarkleyR. A.FischerM. (2011). Predicting impairment in major life activities and occupational functioning in hyperactive children as adults: Self-reported executive function (EF) deficits versus EF tests. Developmental Neuropsychology, 36, 137–161. http://doi.org/10.1080/87565641.2010.549877
5.
BeesdoK.KnappeS.PineD. S. (2009). Anxiety and anxiety disorders in children and adolescents: Developmental issues and implications for DSM-V. Psychiatric Clinics of North America, 32, 483–524. http://doi.org/10.1016/j.psc.2009.06.002
6.
BerggrenN.DerakshanN. (2013). Attentional control deficits in trait anxiety: Why you see them and why you don’t. Biological Psychology, 92, 440–446. http://doi.org/10.1016/j.biopsycho.2012.03.007
7.
BestJ. R.MillerP. H.JonesL. L. (2009). Executive functions after age 5: Changes and correlates. Developmental Review, 29, 180–200. http://doi.org/10.1016/j.dr.2009.05.002
8.
BrosschotJ. F. (2010). Markers of chronic stress: Prolonged physiological activation and (un)conscious perseverative cognition. Neuroscience and Biobehavioral Reviews, 35, 46–50. http://doi.org/10.1016/j.neubiorev.2010.01.004
9.
BuckholtzJ. W.Meyer-LindenbergA. (2012). Psychopathology and the human connectome: Toward a transdiagnostic model of risk for mental illness. Neuron, 74, 990–1004. http://doi.org/10.1016/j.neuron.2012.06.002
10.
CarragherN.KruegerR. F.EatonN. R.SladeT. (2015). Disorders without borders: Current and future directions in the meta-structure of mental disorders. Social Psychiatry and Psychiatric Epidemiology, 50, 339–350. http://doi.org/10.1007/s00127-014-1004-z
11.
CaspiA.HoutsR. M.BelskyD. W.Goldman-MellorS. J.HarringtonH.IsraelS.. . . MoffittT. E. (2014). The p factor: One general psychopathology factor in the structure of psychiatric disorders?Clinical Psychological Science, 2, 119–137. http://doi.org/10.1177/2167702613497473
12.
ChorpitaB. F.TraceyS. A.BrownT. A.CollicaT. J.BarlowD. H. (1997). Assessment of worry in children and adolescents: An adaptation of the Penn State Worry Questionnaire. Behavioral Research and Therapy, 35, 569–581. http://doi.org/10.1016/S0005-7967(96)00116-7
13.
CiceroneK.LevinH.MalecJ.StussD. (2006). Cognitive rehabilitation interventions for executive function: Moving from bench to bedside in patients with traumatic brain injury. Journal of Cognitive Neuroscience, 18, 1212–1222. http://doi.org/10.1162/jocn.2006.18.7.1212
14.
ComptonR. J.ArnsteinD.FreedmanG.Dainer-BestJ.LissA.RobinsonM. D. (2011). Neural and behavioral measures of error-related cognitive control predict daily coping with stress. Emotion, 11, 379–390. http://doi.org/10.1037/a0021776
15.
ConnollyN. P.EberhartN. K.HammenC. L.BrennanP. A. (2010). Specificity of stress generation: A comparison of adolescents with depressive, anxiety, and comorbid diagnoses. International Journal of Cognitive Therapy, 3, 368–379. http://doi.org/10.1521/ijct.2010.3.4.368
16.
ConnollyS. L.WagnerC. A.ShaperoB. G.PendergastL. L.AbramsonL. Y.AlloyL. B. (2014). Rumination prospectively predicts executive functioning impairments in adolescents. Journal of Behavior Therapy and Experimental Psychiatry, 45, 46–56. http://doi.org/10.1016/j.jbtep.2013.07.009
17.
ConwayA. R. A.KaneM. J.BuntingM. F.HambrickD. Z.WilhelmO.EngleR. W. (2005). Working memory span tasks: A methodological review and user’s guide. Psychonomic Bulletin & Review, 12, 769–786. doi:10.3758/BF03196772
18.
ConwayC. C.HammenC.BrennanP. A. (2012). Expanding stress generation theory: Test of a transdiagnostic model. Journal of Abnormal Psychology, 121, 754–766. http://doi.org/10.1037/a0027457
19.
CummingsC. M.CaporinoN. E.KendallP. C. (2014). Comorbidity of anxiety and depression in children and adolescents: 20 years after. Psychological Bulletin, 140, 816–845. http://doi.org/10.1037/a0034733
20.
DemeyerI.De LissnyderE.KosterE. H. W.De RaedtR. (2012). Rumination mediates the relationship between impaired cognitive control for emotional information and depressive symptoms: A prospective study in remitted depressed adults. Behaviour Research and Therapy, 50, 292–297. http://doi.org/10.1016/j.brat.2012.02.012
21.
DerakshanN.EysenckM. (2009). Anxiety, processing efficiency, and cognitive performance: New developments from attentional control theory. European Psychologist, 14, 168–176. doi:10.1027/1016-9040.14.2.168
22.
DimidjianS.BarreraM.MartellC.MuñozR. F.LewinsohnP. M. (2011). The origins and current status of behavioral activation treatments for depression. Annual Review of Clinical Psychology, 7, 1–38. http://doi.org/10.1146/annurev-clinpsy-032210-104535
23.
DoomJ. R.GunnarM. R. (2013). Stress physiology and developmental psychopathology: Past, present, and future. Development and Psychopathology, 25, 1359–1373. http://doi.org/10.1017/S0954579413000667
24.
EisenbergN.ValienteC.SpinradT. L.LiewJ.ZhouQ.LosoyaS. H.CumberlandA. (2009). Longitudinal relations of children’s effortful control, impulsivity, and negative emotionality to their externalizing, internalizing, and co-occurring behavior problems. Developmental Psychology, 45, 988–1008. http://doi.org/10.1037/a0016213
25.
EllisL. K.RothbartM. K. (2001, April). Revision of the Early Adolescent Temperament Questionnaire. Poster presented at the 2001 biennial meeting of the Society for Research in Child Development, Minneapolis, MN.
26.
FriedmanN. P.MiyakeA.YoungS. E.DeFriesJ. C.CorleyR. P.HewittJ. K. (2008). Individual differences in executive functions are almost entirely genetic in origin. Journal of Experimental Psychology: General, 137, 201–225. http://doi.org/10.1037/0096-3445.137.2.201
27.
GallaB. M.WoodJ. J. (2015). Trait self-control predicts adolescents’ exposure and reactivity to daily stressful events. Journal of Personality, 83, 69–83. http://doi.org/10.1111/jopy.12083
28.
GoschkeT. (2014). Dysfunctions of decision-making and cognitive control as transdiagnostic mechanisms of mental disorders: Advances, gaps, and needs in current research. International Journal of Methods in Psychiatric Research, 23, 41–57. http://doi.org/10.1002/mpr.1410
GrantK. E.McMahonS. D.CarterJ. S.CarletonR. A.AdamE. K.ChenE. (2014). The influence of stressors on the development of psychopathology. In LewisM.RudolphK. D. (Eds.), Handbook of developmental psychopathology (pp. 205–223). Boston, MA: Springer. http://doi.org/10.1007/978-1-4614-9608-3_11
31.
HamiltonJ. L.StangeJ. P.ShaperoB. G.ConnollyS. L.AbramsonL. Y.AlloyL. B. (2013). Cognitive vulnerabilities as predictors of stress generation in early adolescence: Pathway to depressive symptoms. Journal of Abnormal Child Psychology, 41, 1027–1039. http://doi.org/10.1007/s10802-013-9742-z
HankinB. L. (2010). Personality and depressive symptoms: Stress generation and cognitive vulnerabilities to depression in a prospective daily diary study. Journal of Social and Clinical Psychology, 29, 369–401. http://doi.org/10.1521/jscp.2010.29.4.369
35.
HankinB. L.AbramsonL. Y. (2001). Development of gender differences in depression: An elaborated cognitive vulnerability-transactional stress theory. Psychological Bulletin, 127, 773–796. http://doi.org/10.1037/0033-2909.127.6.773
36.
HankinB. L.AbramsonL. Y. (2002). Measuring cognitive vulnerability to depression in adolescence: Reliability, validity, and gender differences. Journal of Clinical Child and Adolescent Psychology, 31, 491–504.
37.
HankinB. L.StoneL.WrightP. A. (2010). Corumination, interpersonal stress generation, and internalizing symptoms: Accumulating effects and transactional influences in a multiwave study of adolescents. Development and Psychopathology, 22, 217–235. http://doi.org/10.1017/S0954579409990368
38.
HankinB. L.YoungJ. F.AbelaJ. R. Z.SmolenA.JennessJ. L.GulleyL. D.. . . Oppenheimer, C. W. (2015). Depression from childhood into late adolescence: Influence of gender, development, genetic susceptibility, and peer stress. Journal of Abnormal Psychology, 124, 803–816. doi: 10.1037/abn0000089
39.
HendersonR. K.SnyderH. R.GuptaT.BanichM. T. (2012). When does stress help or harm? The effects of stress controllability and subjective stress response on Stroop performance. Frontiers in Psychology, 3, 179. http://doi.org/10.3389/fpsyg.2012.00179
40.
HendrawanD.YamakawaK.KimuraM.MurakamiH.OhiraH. (2012). Executive functioning performance predicts subjective and physiological acute stress reactivity: Preliminary results. International Journal of Psychophysiology, 84, 277–283. http://doi.org/10.1016/j.ijpsycho.2012.03.006
41.
HillmanC. H.EricksonK. I.KramerA. F. (2008). Be smart, exercise your heart: Exercise effects on brain and cognition. Nature Reviews Neuroscience, 9, 58–65. http://doi.org/10.1038/nrn2298
42.
JacobsonL. A.WillifordA. P.PiantaR. C. (2011). The role of executive function in children’s competent adjustment to middle school. Child Neuropsychology, 17, 255–280. doi:10.1080/09297049.2010.535654
43.
JoormannJ.GotlibI. H. (2008). Updating the contents of working memory in depression: Interference from irrelevant negative material. Journal of Abnormal Psychology, 117, 182–192. http://doi.org/10.1037/0021-843X.117.1.182
44.
JoormannJ.NeeD. E.BermanM. G.JonidesJ.GotlibI. H. (2010). Interference resolution in major depression. Cognitive Affective and Behavioral Neuroscience, 10, 21–33. http://doi.org/10.3758/CABN.10.1.21
45.
JustN.AbramsonL. Y.AlloyL. B. (2001). Remitted depression studies as tests of the cognitive vulnerability hypotheses of depression onset. Clinical Psychology Review, 21, 63–83. http://doi.org/10.1016/S0272-7358(99)00035-5
46.
KesslerR.BerglundP.DemlerO.JinR.MerikangasK.WaltersE. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62, 593–602. http://doi.org/10.1001/archpsyc.62.6.593
47.
KosterE. H. W.De LissnyderE.DerakshanN.De RaedtR. (2011). Understanding depressive rumination from a cognitive science perspective: The impaired disengagement hypothesis. Clinical Psychology Review, 31, 138–145. http://doi.org/10.1016/j.cpr.2010.08.005
48.
KovacsM. (1992). The Children’s Depression Inventory. New York, NY: Multi-Health Systems.
49.
LaceulleO. M.VolleberghW. A. M.OrmelJ. (2015). The structure of psychopathology in adolescence: Replication of a general psychopathology factor in the TRAILS Study. Clinical Psychological Science, 3, 850–860. http://doi.org/10.1177/2167702614560750
50.
LaheyB. B.ApplegateB.HakesJ. K.ZaldD. H.HaririA. R.RathouzP. J. (2012). Is there a general factor of prevalent psychopathology during adulthood?Journal of Abnormal Psychology, 121, 971–977. http://doi.org/10.1037/a0028355
51.
LetkiewiczA. M.MillerG. A.CrockerL. D.WarrenS. L.InfantolinoZ. P.MimnaughK. J.HellerW. (2014). Executive function deficits in daily life prospectively predict increases in depressive symptoms. Cognitive Therapy and Research, 38, 612–620. http://doi.org/10.1007/s10608-014-9629-5
52.
LiewJ. (2012). Effortful control, executive functions, and education: Bringing self-regulatory and social-emotional competencies to the table. Child Development Perspectives, 6, 105–111. doi:10.1111/j.1750-8606.2011.00196.x
53.
LupienS. J.McEwenB. S.GunnarM. R.HeimC. (2009). Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nature Reviews Neuroscience, 10, 434–445. http://doi.org/10.1038/nrn2639
54.
LuuT. M.VohrB. R.AllanW.SchneiderK. C.MentL. R. (2011). Evidence for catch-up in cognition and receptive vocabulary among adolescents born very preterm. Pediatrics, 128, 313–322. http://doi.org/10.1542/peds.2010-2655
55.
MarchJ. S.ParkerJ. D.SullivanK.StallingsP.ConnersC. 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, 554–565. http://doi.org/10.1097/00004583-199704000-00019
56.
MartelM. M.NiggJ. T.WongM. M.FitzgeraldH. E.JesterJ. M.PuttlerL. I.. . . ZuckerR. A. (2007). Childhood and adolescent resiliency, regulation, and executive functioning in relation to adolescent problems and competence in a high-risk sample. Development and Psychopathology, 19, 541–563. http://doi.org/10.1017/S0954579407070265
57.
McIntyreR. S.ChaD. S.SoczynskaJ. K.WoldeyohannesH. O.GallaugherL. A.KudlowP.. . . AnushaB. (2013). Cognitive deficits and functional outcomes in major depressive disorder: Determinants, substrates, and treatment interventions. Depression and Anxiety, 30, 515–527. http://doi.org/10.1002/da.22063
58.
McLaughlinK. A.Nolen-HoeksemaS. (2012). Interpersonal stress generation as a mechanism linking rumination to internalizing symptoms in early adolescents. Journal of Clinical Child and Adolescent Psychology, 41, 584–597. http://doi.org/10.1080/15374416.2012.704840
59.
MerikangasK. R.HeJ.-P.BursteinM.SwansonS. A.AvenevoliS.CuiL.. . . SwendsenJ. (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. http://doi.org/10.1016/j.jaac.2010.05.017
60.
MichlL. C.McLaughlinK. A.ShepherdK.Nolen-HoeksemaS. (2013). Rumination as a mechanism linking stressful life events to symptoms of depression and anxiety: Longitudinal evidence in early adolescents and adults. Journal of Abnormal Psychology, 122, 339–352. http://doi.org/10.1037/a0031994
61.
MiyakeA.FriedmanN. P. (2012). The nature and organization of individual differences in executive functions: Four general conclusions. Current Directions in Psychological Science, 21, 8–14. http://doi.org/10.1177/0963721411429458
62.
MiyakeA.FriedmanN. P.EmersonM. J.WitzkiA. H.HowerterA.WagerT. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41, 49–100. http://doi.org/10.1006/cogp.1999.0734
63.
MurisP.OllendickT. H. (2005). The role of temperament in the etiology of child psychopathology. Clinical Child and Family Psychology Review, 8, 271–289. http://doi.org/10.1007/s10567-005-8809-y
64.
MuthénL. K.MuthénB. O. (2012). Mplus user’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén.
65.
OgilvieJ. M.StewartA. L.ChanR. C. K.ShumD. H. K. (2011). Neuropsychological measures of executive function and antisocial behavior: A meta-analysis. Criminology, 49, 1063–1107. http://doi.org/10.1111/j.1745-9125.2011.00252.x
66.
OldehinkelA. J.HartmanC. A.FerdinandR. F.VerhulstF. C.OrmelJ. (2007). Effortful control as modifier of the association between negative emotionality and adolescents’ mental health problems. Development and Psychopathology, 19, 523–539. http://doi.org/10.1017/S0954579407070253
67.
OldehinkelA. J.HartmanC. A.NederhofE.RieseH.OrmelJ. (2011). Effortful control as predictor of adolescents’ psychological and physiological responses to a social stress test: The Tracking Adolescents’ Individual Lives Survey. Development and Psychopathology, 23, 679–688. http://doi.org/10.1017/S0954579411000095
68.
OwensM.KosterE. H. W.DerakshanN. (2012). Impaired filtering of irrelevant information in dysphoria: An ERP study. Social Cognitive and Affective Neuroscience, 7, 752–763. http://doi.org/10.1093/scan/nsr050
69.
OwensM.KosterE. H. W.DerakshanN. (2013). Improving attention control in dysphoria through cognitive training: Transfer effects on working memory capacity and filtering efficiency. Psychophysiology, 50, 297–307. http://doi.org/10.1111/psyp.12010
70.
QuinnM. E.JoormannJ. (2015). Stress-induced changes in executive control are associated with depression symptoms: Examining the role of rumination. Clinical Psychological Science. Advance online publication. http://doi.org/10.1177/2167702614563930
71.
RabipourS.RazA. (2012). Training the brain: Fact and fad in cognitive and behavioral remediation. Brain and Cognition, 79, 159–179. http://doi.org/10.1016/j.bandc.2012.02.006
72.
ReinebergA. E.Andrews-HannaJ. R.DepueB. E.FriedmanN. P.BanichM. T. (2015). Resting-state networks predict individual differences in common and specific aspects of executive function. NeuroImage, 104, 69–78. http://doi.org/10.1016/j.neuroimage.2014.09.045
73.
RothbartM. K.BatesE. A. (2006). Temperament. In DamonW.EisenbergN.LernerR. M. (Eds.), Handbook of child psychology, social, emotional, and personality development (6th ed., Vol. 3, p. 1232). Hoboken, NJ: John Wiley.
74.
RudolphK. D.FlynnM. (2007). Childhood adversity and youth depression: Influence of gender and pubertal status. Development and Psychopathology, 19, 497–521. http://doi.org/10.1017/S0954579407070241
75.
ShaperoB. G.HankinB. L.BarrocasA. L. (2013). Stress generation and exposure in a multi-wave study of adolescents: Transactional processes and sex differences. Journal of Social and Clinical Psychology, 32, 989–1012. http://doi.org/10.1521/jscp.2013.32.9.989
76.
SlavichG. M.IrwinM. R. (2014). From stress to inflammation and major depressive disorder: A social signal transduction theory of depression. Psychological Bulletin, 140, 774–815. http://doi.org/10.1037/a0035302
77.
SmithJ. M.AlloyL. B. (2009). A roadmap to rumination: A review of the definition, assessment, and conceptualization of this multifaceted construct. Clinical Psychology Review, 29, 116–128. http://doi.org/10.1016/j.cpr.2008.10.003
78.
SnyderH. R. (2013). Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: A meta-analysis and review. Psychological Bulletin, 139, 81–132. http://doi.org/10.1037/a0028727
79.
SnyderH. R.HutchisonN.NyhusE.CurranT.BanichM. T.O’ReillyR. C.MunakataY. (2010). Neural inhibition enables selection during language processing. Proceedings of the National Academy of Sciences USA, 107, 16483–16488. http://doi.org/10.1073/pnas.1002291107
80.
SnyderH. R.MiyakeA.HankinB. L. (2015). Advancing understanding of executive function impairments and psychopathology: Bridging the gap between clinical and cognitive approaches. Frontiers in Psychology, 6, 1–24. http://doi.org/10.3389/fpsyg.2015.00328
81.
TangY.-Y.HölzelB. K.PosnerM. I. (2015). The neuroscience of mindfulness meditation. Nature Reviews Neuroscience, 16, 213–225. http://doi.org/10.1038/nrn3916
82.
TechnowJ. R.HazelN. A.AbelaJ. R. Z.HankinB. L. (2015). Stress sensitivity interacts with depression history to predict depressive symptoms among youth: Prospective changes following first depression onset. Journal of Abnormal Child Psychology, 43, 489–501. http://doi.org/10.1007/s10802-014-9922-5
83.
ToplakM. E.WestR. F.StanovichK. E. (2012). Practitioner review: Do performance-based measures and ratings of executive function assess the same construct?Journal of Child Psychology and Psychiatry, 54, 131–143. http://doi.org/10.1111/jcpp.12001
84.
van OortF.Greaves LordK.OrmelJ.VerhulstF. C.HuizinkA. C. (2011). Risk indicators of anxiety throughout adolescence: The TRAILS study. Depression and Anxiety, 28, 485–494. http://doi.org/10.1002/da.20818
85.
Van ReethO.WeibelL.SpiegelK.LeproultR.DugovicC.MaccariS. (2000). Interactions between stress and sleep: From basic research to clinical situations. Sleep Medicine Reviews, 4, 201–219. http://doi.org/10.1053/smrv.1999.0097
86.
VarelaJ. A.WangJ.ChristiansonJ. P.MaierS. F.CooperD. C. (2012). Control over stress, but not stress per se increases prefrontal cortical pyramidal neuron excitability. Journal of Neuroscience, 32, 12848–12853. http://doi.org/10.1523/JNEUROSCI.2669-12.2012
87.
VetterN. C.AltgassenM.PhillipsL.MahyC. E. V.KliegelM. (2013). Development of affective theory of mind across adolescence: Disentangling the role of executive functions. Developmental Neuropsychology, 38, 114–125. http://doi.org/10.1080/87565641.2012.733786
WhitmerA. J.GotlibI. H. (2013). An attentional scope model of rumination. Psychological Bulletin, 139, 1036–1061. http://doi.org/10.1037/a0030923
90.
WilcoxR. R.KeselmanH. J. (2003). Modern robust data analysis methods: Measures of central tendency. Psychological Methods, 8, 254–274. http://doi.org/10.1037/1082-989X.8.3.254
91.
WilliamsP. G.SuchyY.RauH. K. (2009). Individual differences in executive functioning: Implications for stress regulation. Annals of Behavioral Medicine, 37, 126–140. http://doi.org/10.1007/s12160-009-9100-0
92.
YoungS. E.FriedmanN. P.MiyakeA.WillcuttE. G.CorleyR. P.HaberstickB. C.HewittJ. K. (2009). Behavioral disinhibition: Liability for externalizing spectrum disorders and its genetic and environmental relation to response inhibition across adolescence. Journal of Abnormal Psychology, 118, 117–130. http://doi.org/10.1037/a0014657
93.
ZetscheU.D’AvanzatoC.JoormannJ. (2012). Depression and rumination: Relation to components of inhibition. Cognition & Emotion, 26, 758–767. http://doi.org/10.1080/02699931.2011.613919
94.
ZetscheU.JoormannJ. (2011). Components of interference control predict depressive symptoms and rumination cross-sectionally and at six months follow-up. Journal of Behavior Therapy and Experimental Psychiatry, 42, 65–73. http://doi.org/10.1016/j.jbtep.2010.06.001
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