Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-10T09:15:21.178Z Has data issue: false hasContentIssue false

Most of the genetic covariation between major depressive and alcohol use disorders is explained by trait measures of negative emotionality and behavioral control

Published online by Cambridge University Press:  27 July 2016

J. M. Ellingson*
Affiliation:
Department of Psychological Sciences, University of Missouri, Columbia, MO, USA Alcoholism Research Center at Washington University School of Medicine, St Louis, MO, USA
L. S. Richmond-Rakerd
Affiliation:
Department of Psychological Sciences, University of Missouri, Columbia, MO, USA Alcoholism Research Center at Washington University School of Medicine, St Louis, MO, USA
D. J. Statham
Affiliation:
University of the Sunshine Coast, Queensland, Australia
N. G. Martin
Affiliation:
Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
W. S. Slutske
Affiliation:
Department of Psychological Sciences, University of Missouri, Columbia, MO, USA Alcoholism Research Center at Washington University School of Medicine, St Louis, MO, USA
*
*Address for correspondence: Dr J. Ellingson, Department of Psychological Sciences, University of Missouri, 210 McAlester Hall, Columbia, MO 65211, USA. (Email: jarrod.ellingson@mail.missouri.edu)

Abstract

Background

Mental health disorders commonly co-occur, even between conceptually distinct syndromes, such as internalizing and externalizing disorders. The current study investigated whether phenotypic, genetic, and environmental variance in negative emotionality and behavioral control account for the covariation between major depressive disorder (MDD) and alcohol use disorder (AUD).

Method

A total of 3623 members of a national twin registry were administered structured diagnostic telephone interviews that included assessments of lifetime histories of MDD and AUD, and were mailed self-report personality questionnaires that assessed stress reactivity (SR) and behavioral control (CON). A series of biometric models were fitted to partition the proportion of covariance between MDD and AUD into SR and CON.

Results

A statistically significant proportion of the correlation between MDD and AUD was due to variance specific to SR (men = 0.31, women = 0.27) and CON (men = 0.20, women = 0.19). Further, genetic factors explained a large proportion of this correlation (0.63), with unique environmental factors explaining the rest. SR explained a significant proportion of the genetic (0.33) and environmental (0.23) overlap between MDD and AUD. In contrast, variance specific to CON accounted for genetic overlap (0.32), but not environmental overlap (0.004). In total, SR and CON accounted for approximately 70% of the genetic and 20% of the environmental covariation between MDD and AUD.

Conclusions

This is the first study to demonstrate that negative emotionality and behavioral control confer risk for the co-occurrence of MDD and AUD via genetic factors. These findings are consistent with the aims of NIMH's RDoC proposal to elucidate how transdiagnostic risk factors drive psychopathology.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Andrews, G, Stewart, G, Morris-Yates, A, Holt, P, Henderson, S (1990). Evidence for a general neurotic syndrome. British Journal of Psychiatry 157, 612.CrossRefGoogle ScholarPubMed
Bickel, WK, Marsch, LA (2001). Toward a behavioral economic understanding of drug dependence: delay discounting processes. Addiction 96, 7386.CrossRefGoogle Scholar
Bogg, T, Roberts, BW (2004). Conscientiousness and health-related behaviors: a meta-analysis of the leading behavioral contributors to mortality. Psychological Bulletin 130, 887919.CrossRefGoogle ScholarPubMed
Burns, L, Teesson, M, O'Neill, K (2005). The impact of comorbid anxiety and depression on alcohol treatment outcomes. Addiction 100, 787796.CrossRefGoogle ScholarPubMed
Caspi, A, Houts, RM, Belsky, DW, Goldman-Mellor, SJ, Harrington, H, Israel, S, Meier, MH, Ramrakha, S, Shalev, I, Poulton, R, Moffitt, TE (2013). The p factor: one general psychopathology factor in the structure of psychiatric disorders? Clinical Psychological Science 2, 119137.CrossRefGoogle Scholar
Clark, LA, Watson, D (1991). Tripartite model of anxiety and depression: psychometric evidence and taxonomic implications. Journal of Abnormal Psychology 100, 316336.CrossRefGoogle ScholarPubMed
Cohen, J (1968). Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin 70, 213220.CrossRefGoogle ScholarPubMed
Cooper, ML, Frone, MR, Russell, M, Mudar, P (1995). Drinking to regulate positive and negative emotions: a motivational model of alcohol use. Journal of Personality and Social Psychology 69, 9901005.CrossRefGoogle ScholarPubMed
Derryberry, D, Rothbart, MK (1988). Arousal, affect, and attention as components of temperament. Journal of Personality and Social Psychology 55, 958966.CrossRefGoogle ScholarPubMed
Dimidjian, S, Barrera, M, Martell, C, Muñoz, RF, Lewinsohn, PM (2011). The origins and current status of behavioral activation treatments for depression. Annual Review of Clinical Psychology 7, 138.CrossRefGoogle ScholarPubMed
Eaton, NR, Krueger, RF, Oltmanns, TF (2011). Aging and the structure and long-term stability of the internalizing spectrum of personality and psychopathology. Psychology and Aging 26, 987993.CrossRefGoogle ScholarPubMed
Ellingson, JM, Richmond-Rakerd, LS, Slutske, WS (2015). Brief report: cognitive control helps explain comorbidity between alcohol use disorder and internalizing disorders. Journal of Studies on Alcohol and Drugs 76, 8994.CrossRefGoogle ScholarPubMed
Enders, CK, Bandalos, DL (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling 8, 430457.CrossRefGoogle Scholar
Fanous, A, Gardner, CO, Prescott, CA, Cancro, R, Kendler, KS (2002). Neuroticism, major depression and gender: a population-based twin study. Psychological Medicine 32, 719728.CrossRefGoogle Scholar
Field, M, Mogg, K, Bradley, BP (2006). Attention to drug-related cues in drug abuse and addiction: Component processes. In Handbook of Implicit Cognition and Addiction (ed. Wiers, R. W. and Stacy, A. W.), pp. 151163. Sage Publications Inc.: Thousand Oaks, CA, USA.CrossRefGoogle Scholar
Field, M, Wiers, RW, Christiansen, P, Fillmore, MT, Verster, JC (2010). Acute alcohol effects on inhibitory control and implicit cognition: Implications for loss of control over drinking. Alcoholism: Clinical and Experimental Research 34, 13461352.CrossRefGoogle ScholarPubMed
Genetics of Personality Consortium, de Moor, MH, Verweij, KJ, van den Berg, SM, Krueger, RF, Luciano, M, Arias Vasquez, A, Matteson, LK, Derringer, J, Esko, T, Amin, N, Gordon, SD, Hansell, NK, Hart, AB, Seppälä, I, Huffman, JE, Konte, B, Lahti, J, Lee, M, Miller, M, Nutile, T, Tanaka, T, Teumer, A, Viktorin, A, Wedenoja, J, Abecasis, GR, Adkins, DE, Agrawal, A, Allik, J, Appel, K, Bigdeli, TB, Busonero, F, Campbell, H, Costa, PT, Davey Smith, G, Davies, G, de Wit, H, Ding, J, Engelhardt, BE, Eriksson, JG, Fedko, IO, Ferrucci, L, Franke, B, Giegling, I, Grucza, R, Hartmann, AM, Heath, AC, Heinonen, K, Henders, AK, Homuth, G, Hottenga, JJ, Iacono, WG, Janzing, J, Jokela, M, Karlsson, R, Kemp, JP, Kirkpatrick, MG, Latvala, A, Lehtimäki, T, Liewald, DC, Madden, PA, Magri, C, Magnusson, PK, Marten, J, Maschio, A, Medland, SE, Mihailov, E, Milaneschi, Y, Montgomery, GW, Nauck, M, Ouwens, KG, Palotie, A, Pettersson, E, Polasek, O, Qian, Y, Pulkki-Råback, L, Raitakari, OT, Realo, A, Rose, RJ, Ruggiero, D, Schmidt, CO, Slutske, WS, Sorice, R, Starr, JM, St Pourcain, B, Sutin, AR, Timpson, NJ, Trochet, H, Vermeulen, S, Vuoksimaa, E, Widen, E, Wouda, J, Wright, MJ, Zgaga, L, Porteous, D, Minelli, A, Palmer, AA, Rujescu, D, Ciullo, M, Hayward, C, Rudan, I, Metspalu, A, Kaprio, J, Deary, IJ, Räikkönen, K, Wilson, JF, Keltikangas-Järvinen, L, Bierut, LJ, Hettema, JM, Grabe, HJ, van Duijn, CM, Evans, DM, Schlessinger, D, Pedersen, NL, Terracciano, A, McGue, M, Penninx, BW, Martin, NG, Boomsma, DI (2015). Meta-analysis of genome-wide association studies for neuroticism, and the polygenic association with major depressive disorder. JAMA Psychiatry 72, 642650.Google ScholarPubMed
Gjone, H, Stevenson, J (1997). The association between internalizing and externalizing behavior in childhood and early adolescence: genetic of environmental common influences? Journal of Abnormal Child Psychology 25, 277286.CrossRefGoogle ScholarPubMed
Gorenstein, EE, Newman, JP (1980). Disinhibitory psychopathology: a new perspective and a model for research. Psychological Review 87, 301315.CrossRefGoogle Scholar
Grant, BF, Stinson, FS, Dawson, DA, Chou, SP, Dufour, MC, Compton, W, Pickering, RP, Kaplan, K (2004). Prevalence and co-occurrence of substance use disorders and independent mood and anxiety disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Archives of General Psychiatry 61, 807816.CrossRefGoogle ScholarPubMed
Gray, JA (1990). Brain systems that mediate both emotion and cognition. Cognition & Emotion 4, 269288.CrossRefGoogle Scholar
Hankin, BL, Gibb, BE, Abela, JRZ, Flory, K (2010). Selective attention to affective stimuli and clinical depression among youths: role of anxiety and specificity of emotion. Journal of Abnormal Psychology 119, 491501.CrossRefGoogle ScholarPubMed
Hettema, JM, Neale, MC, Myers, JM, Prescott, CA, Kendler, KS (2006). A population-based twin study of the relationship between neuroticism and internalizing disorders. American Journal of Psychiatry 163, 857864.CrossRefGoogle ScholarPubMed
Insel, T, Cuthbert, B, Garvey, M, Heinssen, R, Pine, DS, Quinn, K, Sanislow, C, Wang, P (2010). Research domain criteria (RDoC): toward a new classification framework for research on mental disorders. American Journal of Psychiatry 167, 748751.CrossRefGoogle Scholar
Kanske, P, Kotz, SA (2012). Effortful control, depression, and anxiety correlate with the influence of emotion on executive attentional control. Biological Psychology 91, 8895.CrossRefGoogle ScholarPubMed
Kendler, KS, Aggen, SH, Knudsen, GP, Røysamb, E, Neale, MC, Reichborn-Kjennerud, T (2011). The structure of genetic and environmental risk factors for syndromal and subsyndromal common DSM-IV axis I and all axis II disorders. American Journal of Psychiatry 168, 2939.CrossRefGoogle ScholarPubMed
Kendler, KS, Myers, J (2010). The genetic and environmental relationship between major depression and the five-factor model of personality. Psychological Medicine 40, 801806.CrossRefGoogle ScholarPubMed
Kendler, KS, Myers, J (2014). The boundaries of the internalizing and externalizing genetic spectra in men and women. Psychological Medicine 44, 647655.CrossRefGoogle ScholarPubMed
Kessler, RC, Chiu, WT, Demler, O, Merikangas, KR, Walters, EE (2005). Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry 62, 617627.CrossRefGoogle ScholarPubMed
Khan, AA, Jacobson, KC, Gardner, CO, Prescott, CA, Kendler, KS (2005). Personality and comorbidity of common psychiatric disorders. British Journal of Psychiatry 186, 190196.CrossRefGoogle ScholarPubMed
Krueger, RF, Hicks, BM, Patrick, CJ, Carlson, SR, Iacono, WG, McGue, M (2002). Etiologic connections among substance dependence, antisocial behavior and personality: modeling the externalizing spectrum. Journal of Abnormal Psychology 111, 411424.CrossRefGoogle ScholarPubMed
Krueger, RF, Markon, KE (2006). Reinterpreting comorbidity: a model-based approach to understanding and classifying psychopathology. Annual Review of Clinical Psychology 2, 111133.CrossRefGoogle ScholarPubMed
Lahey, BB, Applegate, B, Hakes, JK, Zald, DH, Hariri, AR, Rathouz, PJ (2012). Is there a general factor of prevalent psychopathology during adulthood? Journal of Abnormal Psychology 121, 971977.CrossRefGoogle Scholar
Lahey, BB, Applegate, B, Waldman, ID, Loft, JD, Hankin, BL, Rick, J (2004). The structure of child and adolescent psychopathology: generating new hypotheses. Journal of Abnormal Psychology 113, 358385.CrossRefGoogle ScholarPubMed
Li, C-sR, Sinha, R (2008). Inhibitory control and emotional stress regulation: neuroimaging evidence for frontal-limbic dysfunction in psycho-stimulant addiction. Neuroscience and Biobehavioral Reviews 32, 581597.CrossRefGoogle ScholarPubMed
Littlefield, AK, Agrawal, A, Ellingson, JM, Kristjansson, S, Madden, PA, Bucholz, KK, Slutske, WS, Heath, AC, Sher, KJ (2011). Does variance in drinking motives explain the genetic overlap between personality and alcohol use disorder symptoms? A twin study of young women. Alcoholism: Clinical and Experimental Research 35, 22422250.CrossRefGoogle ScholarPubMed
Littlefield, AK, Sher, KJ, Wood, PK (2010). Do changes in drinking motives mediate the relation between personality change and “maturing out” of problem drinking? Journal of Abnormal Psychology 119, 93105.CrossRefGoogle ScholarPubMed
Loehlin, JC (1996). The Cholesky approach: a cautionary note. Behavior Genetics 26, 6569.CrossRefGoogle Scholar
Malouff, JM, Thorsteinsson, EB, Rooke, SE, Schutte, NS (2007). Alcohol involvement and the five-factor model of personality: a meta-analysis. Journal of Drug Education 37, 277294.CrossRefGoogle ScholarPubMed
McCrae, RR, Costa, PT (1987). Validation of the five-factor model of personality across instruments and observers. Journal of Personality and Social Psychology 52, 8190.CrossRefGoogle ScholarPubMed
Miyake, A, Friedman, NP, Emerson, MJ, Witzki, AH, Howerter, A, Wager, TD (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cognitive Psychology 41, 49100.CrossRefGoogle ScholarPubMed
Morris, SE, Cuthbert, BN (2012). Research domain criteria: cognitive systems, neural circuits, and dimensions of behavior. Dialogues in Clinical Neuroscience 14, 2937.CrossRefGoogle ScholarPubMed
Muthén, LK, Muthén, BO (1998–2012). Mplus User's Guide. Muthén & Muthén: Los Angeles, CA.Google Scholar
Neale, MC, Cardon, LR (1992). Methodology for Genetic Studies of Twins and Families. Springer: Netherlands.CrossRefGoogle Scholar
Neale, MC, Maes, HH (1999). Methodology for Genetic Studies of Twins and Families. Kluwer Academic Publishers B.V.: Dordrecht, Netherlands.Google Scholar
Neale, MC, Røysamb, E, Jacobson, K (2006). Multivariate genetic analysis of sex limitation and G × E interaction. Twin Research and Human Genetics 9, 481489.CrossRefGoogle Scholar
Nigg, JT (2003). Response inhibition and disruptive behaviors. Annals of the New York Academy of Sciences 1008, 170182.CrossRefGoogle ScholarPubMed
Ouimet, AJ, Gawronski, B, Dozois, DJA (2009). Cognitive vulnerability to anxiety: a review and an integrative model. Clinical Psychology Review 29, 459470.CrossRefGoogle Scholar
Pulcu, E, Trotter, PD, Thomas, EJ, McFarquhar, M, Juhasz, G, Sahakian, BJ, Deakin, JFW, Zahn, R, Anderson, IM, Elliott, R (2014). Temporal discounting in major depressive disorder. Psychological Medicine 44, 18251834.CrossRefGoogle ScholarPubMed
Robins, LN, Wing, J, Wittchen, HU, Helzer, JE, Babor, TF, Burke, J, Farmer, A, Jablenski, A, Pickens, R, Regier, DA, Sartorius, N, Towle, LH (1988). The composite international diagnostic interview: an epidemiologic instrument suitable for use in conjunction with different diagnostic systems and in different cultures. Archives of General Psychiatry 45, 10691077.CrossRefGoogle ScholarPubMed
Sanislow, CA, Pine, DS, Quinn, KJ, Kozak, MJ, Garvey, MA, Heinssen, RK, Wang, PS-E, Cuthbert, BN (2010). Developing constructs for psychopathology research: research domain criteria. Journal of Abnormal Psychology 119, 631639.CrossRefGoogle ScholarPubMed
SAS Institute (2002–2010). SAS Software, Version 9.3. SAS Institute Inc., Cary: NC.Google Scholar
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Ripke, S, Neale, BM, Corvin, A, Walters, JT, Farh, K, Holmans, PA, Lee, P, Bulik-Sullivan, B, Collier, DA, Huang, H, Pers, TH, Agartz, I, Agerbo, E, Albus, M, Alexander, M, Amin, F, Bacanu, SA, Begemann, M, Belliveau, RA Jr, Bene, J, Bergen, SE, Bevilacqua, E, Bigdeli, TB, Black, DW, Bruggeman, R, Buccola, NG, Buckner, RL, Byerley, W, Cahn, W, Cai, G, Campion, D, Cantor, RM, Carr, VJ, Carrera, N, Catts, SV, Chambert, KD, Chan, RC, Chan, RY, Chen, EY, Cheng, W, Cheung, EF, Chong, SA, Cloninger, CR, Cohen, D, Cohen, N, Cormican, P, Craddock, N, Crowley, JJ, Curtis, D, Davidson, M, Davis, KL, Degenhardt, F, Favero, JD, Demontis, D, Dikeos, D, Dinan, T, Djurovic, S, Donohoe, G, Drapeau, E, Duan, J, Dudbridge, F, Durmishi, N, Eichhammer, P, Eriksson, J, Escott-Price, V, Essioux, L, Fanous, AH, Farrell, MS, Frank, J, Franke, L, Freedman, R, Freimer, NB, Friedl, M, Friedman, JI, Fromer, M, Genovese, G, Georgieva, L, Giegling, I, Giusti-Rodríguez, P, Godard, S, Goldstein, JI, Golimbet, V, Gopal, S, Gratten, J, Haan, Ld, Hammer, C, Hamshere, ML, Hansen, M, Hansen, T, Haroutunian, V, Hartmann, AM, Henskens, FA, Herms, S, Hirschhorn, JN, Hoffmann, P, Hofman, A, Hollegaard, MV, Hougaard, DM, Ikeda, M, Joa, I, Julià, A, Kahn, RS, Kalaydjieva, L, Karachanak-Yankova, S, Karjalainen, J, Kavanagh, D, Keller, MC, Kennedy, JL, Khrunin, A, Kim, Y, Klovins, J, Knowles, JA, Konte, B, Kucinskas, V, Kucinskiene, ZA, Kuzelova-Ptackova, H, Kähler, AK, Laurent, C, Lee, J, Lee, SH, Legge, SE, Lerer, B, Li, M, Li, T, Liang, K, Lieberman, J, Limborska, S, Loughland, CM, Lubinski, J, Lönnqvist, J, Macek, M, Magnusson, PK, Maher, BS, Maier, W, Mallet, J, Marsal, S, Mattheisen, M, Mattingsdal, M, McCarley, RW, McDonald, C, McIntosh, AM, Meier, S, Meijer, CJ, Melegh, B, Melle, I, Mesholam-Gately, RI, Metspalu, A, Michie, PT, Milani, L, Milanova, V, Mokrab, Y, Morris, DW, Mors, O, Murphy, KC, Murray, RM, Myin-Germeys, I, Müller-Myhsok, B, Nelis, M, Nenadic, I, Nertney, DA, Nestadt, G, Nicodemus, KK, Nikitina-Zake, L, Nisenbaum, L, Nordin, A, O'Callaghan, E, O'Dushlaine, C, O'Neill, FA, Oh, S, Olincy, A, Olsen, L, Os, JV, Psychosis Endophenotypes International Consortium, Pantelis, C, Papadimitriou, GN, Papiol, S, Parkhomenko, E, Pato, MT, Paunio, T, Pejovic-Milovancevic, M, Perkins, DO, Pietiläinen, O, Pimm, J, Pocklington, AJ, Powell, J, Price, A, Pulver, AE, Purcell, SM, Quested, D, Rasmussen, HB, Reichenberg, A, Reimers, MA, Richards, AL, Roffman, JL, Roussos, P, Ruderfer, DM, Salomaa, V, Sanders, AR, Schall, U, Schubert, CR, Schulze, TG, Schwab, SG, Scolnick, EM, Scott, RJ, Seidman, LJ, Shi, J, Sigurdsson, E, Silagadze, T, Silverman, JM, Sim, K, Slominsky, P, Smoller, JW, So, H, A Spencer CC, , Stahl, EA, Stefansson, H, Steinberg, S, Stogmann, E, Straub, RE, Strengman, E, Strohmaier, J, Stroup, TS, Subramaniam, M, Suvisaari, J, Svrakic, DM, Szatkiewicz, JP, Söderman, E, Thirumalai, S, Toncheva, D, Tosato, S, Veijola, J, Waddington, J, Walsh, D, Wang, D, Wang, Q, Webb, BT, Weiser, M, Wildenauer, DB, Williams, NM, Williams, S, Witt, SH, Wolen, AR, Wong, EH, Wormley, BK, Xi, HS, Zai, CC, Zheng, X, Zimprich, F, Wray, NR, Stefansson, K, Visscher, PM, Wellcome Trust Case-Control Consortium, Adolfsson, R, Andreassen, OA, Blackwood, DH, Bramon, E, Buxbaum, JD, Børglum, AD, Cichon, S, Darvasi, A, Domenici, E, Ehrenreich, H, Esko, T, Gejman, PV, Gill, M, Gurling, H, Hultman, CM, Iwata, N, Jablensky, AV, Jönsson, EG, Kendler, KS, Kirov, G, Knight, J, Lencz, T, Levinson, DF, Li, QS, Liu, J, Malhotra, AK, McCarroll, SA, McQuillin, A, Moran, JL, Mortensen, PB, Mowry, BJ, Nöthen, MM, Ophoff, RA, Owen, MJ, Palotie, A, Pato, CN, Petryshen, TL, Posthuma, D, Rietschel, M, Riley, BP, Rujescu, D, Sham, PC, Sklar, P, Clair, DS, Weinberger, DR, Wendland, JR, Werge, T, Daly, MJ, Sullivan, PF, O'Donovan, MC (2014). Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421427.Google Scholar
Sharbanee, JM, Stritzke, WGK, Jamalludin, ME, Wiers, RW (2014). Approach-alcohol action tendencies can be inhibited by cognitive load. Psychopharmacology 231, 967975.CrossRefGoogle ScholarPubMed
Sher, KJ, Trull, TJ (1994). Personality and disinhibitory psychopathology: alcoholism and antisocial personality disorder. Journal of Abnormal Psychology 103, 92102.CrossRefGoogle ScholarPubMed
Slutske, WS, Meier, MH, Zhu, G, Statham, DJ, Blaszczynski, A, Martin, NG (2009). The Australian Twin Study of Gambling (OZ-GAM): rationale, sample description, predictors of participation, and a first look at sources of individual differences in gambling involvement. Twin Research and Human Genetics 12, 6378.CrossRefGoogle Scholar
Spitznagel, EL, Helzer, JE (1985). A proposed solution to the base rate problem in the kappa statistic. Archives of General Psychiatry 42, 725728.CrossRefGoogle Scholar
Tackett, JL, Lahey, BB, van Hulle, C, Waldman, I, Krueger, RF, Rathouz, PJ (2013). Common genetic influences on negative emotionality and a general psychopathology factor in childhood and adolescence. Journal of Abnormal Psychology 122, 11421153.CrossRefGoogle Scholar
Tellegen, A (1982). Brief manual for the multidimensional personality questionnaire (unpublished manuscript). University of Minnesota: Minneapolis.Google Scholar
Tellegen, A, Waller, NG (2008). Exploring personality through test construction: development of the Multidimensional Personality Questionnaire. In The SAGE Handbook of Personality Theory and Assessment (ed. Boyle, G. J., Matthews, G. and Saklofske, D. H.), pp. 261292. Sage Publications Inc: Thousand Oaks, CA, USA.Google Scholar
Whiteside, SP, Lynam, DR (2001). The five factor model and impulsivity: using a structural model of personality to understand impulsivity. Personality and Individual Differences 30, 669689.CrossRefGoogle Scholar
Supplementary material: File

Ellingson supplementary material

Ellingson supplementary material 1

Download Ellingson supplementary material(File)
File 2.5 MB