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Neuroticism and psychological distress: To what extent is their association due to person-environment correlation?

Published online by Cambridge University Press:  16 April 2020

G.B. Ploubidis*
Affiliation:
Centre for Population Studies, Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, University of London, London, United Kingdom
S. Frangou
Affiliation:
Section of Neurobiology of Psychosis, Institute of Psychiatry, Kings College of London, London, United Kingdom
*
*Corresponding author. E-mail address: [email protected] (G.B. Ploubidis).
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Abstract

Objective

To examine to what extent the association between neuroticism and psychological distress is related to individuals’ inherent vulnerability or their tendency to self-select high-risk environments or situations.

Method

Data was drawn from both waves (1984/1985 and 1991) of the Health and Lifestyle Survey. Psychological distress was evaluated using the 30-item General Health Questionnaire (GHQ-30) and neuroticism was assessed with the Eysenck Personality Inventory. A checklist of life events was completed in the second wave only. A Latent State Trait model was estimated to decompose psychological distress into its environmental-contextual and individual-specific components.

Results

Neuroticism accounted for 31 and 10% respectively of the variance of the environmental-contextual and individual-specific psychological distress components.

Conclusions

Our results favour the notion that individuals with high-levels of neuroticism tend to self-select situations likely to lead to adversity and distress.

Type
Original article
Copyright
Copyright © Elsevier Masson SAS 2011

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References

Aggen, SHNeale, MCKendler, KSDSM criteria for major depression: evaluating symptom patterns using latent-trait item response models. Psychol Med 2005; 35(4): 475487.CrossRefGoogle ScholarPubMed
Cox, BDHuppert, FAWhichelow, MThe health and lifestyle survey: Seven years on. Dartmouth: Aldershot: 1993.Google Scholar
Duggan, CSham, PLee, AMinne, CMurray, RNeuroticism: a vulnerability marker for depression evidence from a family study. J Affect Disord 1995; 35(3): 139143.CrossRefGoogle ScholarPubMed
Eid, MHappiness and Satisfaction: An application of Latent State-Trait Model for Ordinal Variables. In: Rost, JLangeheine, R editors. Applications of Latent Trait and Latent Class Models in the Social Sciences. Berlin: Waxmann; 1997.Google Scholar
Eid, MSchneider, CSchwenkmezger, PDo you feel better or worse? The validity of perceived deviations of mood states from mood traits. Eur J Pers 1999; 13(4): 283306.3.0.CO;2-0>CrossRefGoogle Scholar
Eysenck, HEysenck, SManual of the Eysenck Personality Questionnaire. London: Hodder & Stoughton: 1975.Google Scholar
Goldberg, DVulnerability factors for common mental illnesses. Br J Psychiatry 2001; 178: S69S71.CrossRefGoogle Scholar
Goldberg, DWilliams, PA User's Guide to the General Health Questionnaire GHQ. London: NFER-NELSON: 1991.Google Scholar
Hagemann, DNaumann, EThayer, JFBartussek, DDoes resting electroencephalograph asymmetry reflect a trait? An application of latent state-trait theory. J Pers Soc Psychol 2002; 82(4): 619641.CrossRefGoogle ScholarPubMed
Kendler, KSGardner, CONeale, MCPrescott, CAGenetic risk factors for major depression in men and women: similar or different heritabilities and same or partly distinct genes? Psychol Med 2001; 31(4): 605616.CrossRefGoogle ScholarPubMed
Kendler, KSGardner, COPrescott, CAPersonality and the experience of environmental adversity. Psychol Med 2003; 33(7): 11931202.CrossRefGoogle ScholarPubMed
Kendler, KSKarkowski-Shuman, LStressful life events and genetic liability to major depression: Genetic control of exposure to the environment. Psychol Med 1997; 27(3): 539547.CrossRefGoogle ScholarPubMed
Kendler, KSKarkowski, LMPrescott, CACausal relationship between stressful life events and the onset of major depression. Am J Psychiatry 1999; 156(6): 837841.CrossRefGoogle ScholarPubMed
Kessler, RCThe effects of stressful life events on depression. Annu Rev Psychol 1997; 48: 191214.CrossRefGoogle ScholarPubMed
Kessler, RCMcGonagle, KANelson, CBHughes, MSwartz, MBlazer, DGSex and depression in the National Comorbidity Survey. 2. Cohort effects. J Affect Disord 1994; 30(1): 1526.CrossRefGoogle Scholar
Kirschbaum, CSteyer, REid, MPatalla, USchwenkmezger, PHellhammer, DHCortisol and behavior. 2. Application of a latent state-trait model to salivary cortisol. Psychoneuroendocrinology 1990; 15(4): 297307.CrossRefGoogle ScholarPubMed
Krueger, RFCaspi, AMoffitt, TEEpidemiological personology: The unifying role of personality in population-based research on problem behaviors. J Pers 2000; 68(6): 967998.CrossRefGoogle ScholarPubMed
Lehmann, JWeizman, RLeschiner, SFeldon, JGavish, MPeripheral benzodiazepine receptors reflect trait (early handling) but not state (avoidance learning). Pharmacol Biochem Behav 2002; 73(1): 8793.CrossRefGoogle Scholar
McCrae, RRCosta, PTTerracciano, AParker, WDMills, CJDe Fruyt, Fet al.Personality trait development from age 12 to age 18: Longitudinal, cross-sectional, and cross-cultural analyses. J Pers Soc Psychol 2002; 83(6): 14561468.CrossRefGoogle ScholarPubMed
Middeldorp, CMCath, DCBeem, ALWillemsen, GBoomsma, DILife events, anxious depression and personality: a prospective and genetic study. Psychol Med 2008; 38(11): 15571565.CrossRefGoogle ScholarPubMed
Mojtabai, ROlfson, MCognitive deficits and the course of major depression in a cohort of middle-aged and older community-dwelling adults. J Am Geriatr Soc 2004; 52(7): 10601069.CrossRefGoogle Scholar
Muthen, BContributions to factor-analysis of dichotomous variables. Psychometrika 1978; 43(4): 551560.CrossRefGoogle Scholar
Muthen, BA general structural equation model with dichotomous. Ordered categorical, and continuous latent variable indicators. Psychometrika 1984; 49(1): 115132.CrossRefGoogle Scholar
Muthen, BLatent variable structural equation modeling with categorical-data. J Econom 221–21983 4365.CrossRefGoogle Scholar
Mutthen LK, Muthen BO. Mplus User's Guide. 4th ed. Los Angeles, CA; 1998–2007..Google Scholar
Rodgers, BAdult affective-disorder and early environment. Br J Psychiatry 1990; 157: 539550.CrossRefGoogle ScholarPubMed
Samejima, FEstimation of latent trait ability using a response pattern of graded scores. Psychom Monogr Suppl 1969 17.Google Scholar
Schmitt, MJSteyer, RA latent state trait model (not only) for social desirability. Pers Individ Differ 1993; 14(4): 519529.CrossRefGoogle Scholar
Shirtcliff, EAGranger, DABooth, AJohnson, DLow salivary cortisol levels and externalizing behavior problems in youth. Dev Psychopathol 2005; 17(1): 167184.CrossRefGoogle ScholarPubMed
Steyer, RLatent state-trait theory. Int J Psychol 273–41992 349.Google Scholar
Steyer, RSchmitt, MEid, MLatent state-trait theory and research in personality and individual differences. Eur J Pers 1999; 13(5): 389408.3.0.CO;2-A>CrossRefGoogle Scholar
Van Os, JJones, PBEarly risk factors and adult person-environment relationships in affective disorder. Psychol Med 1999; 29(5): 10551067.CrossRefGoogle ScholarPubMed
Van Os, JPark, SBGJones, PBNeuroticism, life events and mental health: evidence for person-environment correlation. Br J Psychiatry 2001; 178: S72S77.CrossRefGoogle Scholar
Weissman, MMBland, RCCanino, GJFaravelli, CGreenwald, SHwu, HGet al.Cross-national epidemiology of major depression and bipolar disorder. JAMA 1996; 276(4): 293299.CrossRefGoogle ScholarPubMed
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