Personality Traits Predict 7-Year Risk of Diagnosis of Multiple Sclerosis: A Prospective Study
Abstract
:1. Introduction
2. Methods
2.1. Data
2.2. Measures
2.2.1. Personality Traits
2.2.2. MS
2.2.3. Demographic Controls
2.3. Analysis
3. Results
4. Discussion
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Costa, P.T., Jr.; McCrae, R.R. Professional Manual for the NEO PI-R and NEO-FFI; Psychological Assessment Resources: Odessa, Ukraine, 1992. [Google Scholar]
- McCrae, R.R.; Costa, P.T., Jr. The five-factor theory of personality. In Handbook of Personality: Theory and Research; The Guilford Press: New York, NY, USA, 2008. [Google Scholar]
- Goldberg, L.R. The structure of phenotypic personality traits. Am. Psychol. 1993, 48, 26. [Google Scholar] [CrossRef] [PubMed]
- Marshall, G.N.; Wortman, C.B.; Vickers, R.R.; Kusulas, J.W.; Hervig, L.K. The five-factor model of personality as a framework for personality-health research. J. Personal. Soc. Psychol. 1994, 67, 278. [Google Scholar] [CrossRef]
- McCrae, R.R.; Costa, P.T. Validation of the five-factor model of personality across instruments and observers. J. Personal. Soc. Psychol. 1987, 52, 81. [Google Scholar] [CrossRef]
- Hampson, S.E. Personality processes: Mechanisms by which personality traits “get outside the skin”. Annu. Rev. Psychol. 2012, 63, 315. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hampson, S.E.; Goldberg, L.R.; Vogt, T.M.; Dubanoski, J.P. Mechanisms by which childhood personality traits influence adult health status: Educational attainment and health behaviors. Health Psychol. 2007, 26, 121–125. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Stephan, Y.; Sutin, A.R.; Luchetti, M.; Hognon, L.; Canada, B.; Terracciano, A. Personality and self-rated health across eight cohort studies. Soc. Sci. Med. 2020, 263, 113245. [Google Scholar] [CrossRef]
- Chapman, B.P.; Lyness, J.M.; Duberstein, P.R. Personality and medical illness burden among older adults in primary care. Psychosom. Med. 2007, 69, 277–282. [Google Scholar] [CrossRef] [Green Version]
- Hampson, S.E.; Edmonds, G.W.; Goldberg, L.R.; Dubanoski, J.P.; Hillier, T.A. Childhood conscientiousness relates to objectively measured adult physical health four decades later. Health Psychol. 2013, 32, 925–928. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jokela, M.; Batty, G.D.; Nyberg, S.T.; Virtanen, M.; Nabi, H.; Singh-Manoux, A.; Kivimäki, M. Personality and all-cause mortality: Individual-participant meta-analysis of 3947 deaths in 76,150 adults. Am. J. Epidemiol. 2013, 178, 667–675. [Google Scholar] [CrossRef] [Green Version]
- Kern, M.L.; Friedman, H.S. Do conscientious individuals live longer? A quantitative review. Health Psychol. 2008, 27, 505. [Google Scholar] [CrossRef]
- Roberts, B.W.; Kuncel, N.R.; Shiner, R.L.; Caspi, A.; Goldberg, L.R. The power of personality: The comparative validity of personality traits, socioeconomic status, and cognitive ability for predicting important life outcomes. Perspect. Psychol. Sci. 2007, 2, 313–345. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Weston, S.J.; Hill, P.L.; Jackson, J.J. Personality traits predict the onset of disease. Soc. Psychol. Personal. Sci. 2015, 6, 309–317. [Google Scholar] [CrossRef]
- Walton, C.; King, R.; Rechtman, L.; Kaye, W.; Leray, E.; Marrie, R.A.; Robertson, N.; La Rocca, N.; Uitdehaag, B.; Van Der Mei, I.; et al. Rising prevalence of multiple sclerosis worldwide: Insights from the Atlas of MS. Mult. Scler. J. 2020, 26, 1816–1821. [Google Scholar] [CrossRef] [PubMed]
- Christodoulou, C.; Deluca, J.; Johnson, S.K.; Lange, G.; Gaudino, E.A.; Natelson, B.H. Examination of Cloninger’s basic dimensions of personality in fatiguing illness: Chronic fatigue syndrome and multiple sclerosis. J. Psychosom. Res. 1999, 47, 597–607. [Google Scholar] [CrossRef] [PubMed]
- Johnson, S.K.; DeLuca, J.; Natelson, B.H. Personality dimensions in the chronic fatigue syndrome: A comparison with multiple sclerosis and depression. J. Psychiatr. Res. 1996, 30, 9–20. [Google Scholar] [CrossRef] [PubMed]
- Lima, F.S.; Simioni, S.; Bruggimann, L.; Ruffieux, C.; Dudler, J.; Felley, C.; Michetti, P.; Annoni, J.-M.; Schluep, M. Perceived behavioral changes in early multiple sclerosis. Behav. Neurol. 2007, 18, 81–90. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Merkelbach, S.; König, J.; Sittinger, H. Personality traits in multiple sclerosis (MS) patients with and without fatigue experience. Acta Neurol. Scand. 2003, 107, 195–201. [Google Scholar] [CrossRef]
- Ožura, A.; Erdberg, P.; Šega, S. Personality characteristics of multiple sclerosis patients: A Rorschach investigation. Clin. Neurol. Neurosurg. 2010, 112, 629–632. [Google Scholar] [CrossRef]
- Penner, I.K.; Bechtel, N.; Raselli, C.; Stöcklin, M.; Opwis, K.; Kappos, L.; Calabrese, P. Fatigue in multiple sclerosis: Relation to depression, physical impairment, personality and action control. Mult. Scler. J. 2007, 13, 1161–1167. [Google Scholar] [CrossRef] [PubMed]
- Maggio, M.G.; Cuzzola, M.F.; Latella, D.; Impellizzeri, F.; Todaro, A.; Rao, G.; Manuli, A.; Calabrò, R.S. How personality traits affect functional outcomes in patients with multiple sclerosis: A scoping review on a poorly understood topic. Mult. Scler. Relat. Disord. 2020, 46, 102560. [Google Scholar] [CrossRef]
- Benedict, R.H.; Priore, R.L.; Miller, C.; Munschauer, F.; Jacobs, L. Personality disorder in multiple sclerosis correlates with cognitive impairment. J. Neuropsychiatry Clin. Neurosci. 2001, 13, 70–76. [Google Scholar] [CrossRef] [PubMed]
- Benedict, R.H.; Hussein, S.; Englert, J.; Dwyer, M.G.; Abdelrahman, N.; Cox, J.L.; Munschauer, F.E.; Weinstock-Guttman, B.; Zivadinov, R. Cortical atrophy and personality in multiple sclerosis. Neuropsychology 2008, 22, 432. [Google Scholar] [CrossRef]
- Benedict, R.H.; Wahlig, E.; Bakshi, R.; Fishman, I.; Munschauer, F.; Zivadinov, R.; Weinstock-Guttman, B. Predicting quality of life in multiple sclerosis: Accounting for physical disability, fatigue, cognition, mood disorder, personality, and behavior change. J. Neurol. Sci. 2005, 231, 29–34. [Google Scholar] [CrossRef]
- Rätsep, T.; Kallasmaa, T.; Pulver, A.; Gross-Paju, K. Personality as a predictor of coping efforts in patients with multiple sclerosis. Mult. Scler. J. 2000, 6, 397–402. [Google Scholar] [CrossRef] [PubMed]
- University of Essex, Institute for Social and Economic Research. Understanding Society: Waves 1-11, 2009-2020 and Harmonised BHPS: Waves 1-18, 1991-2009. [Data Collection]. 16th Edition. UK Data Service. SN: 6614. Available online: http://doi.org/10.5255/UKDA-SN-6614-17 (accessed on 1 September 2022).
- Gupta, S.; Goren, A.; Phillips, A.L.; Dangond, F.; Stewart, M. Self-reported severity among patients with multiple sclerosis in the US and its association with health outcomes. Mult. Scler. Relat. Disord. 2014, 3, 78–88. [Google Scholar] [CrossRef] [PubMed]
- Le, H.H.; Ken-Opurum, J.; LaPrade, A.; Maculaitis, M.C.; Sheehan, J.J. Assessment of economic burden of fatigue in adults with multiple sclerosis: An analysis of US National Health and Wellness Survey data. Mult. Scler. Relat. Disord. 2022, 65, 103971. [Google Scholar] [CrossRef]
- Friedman, H.S.; Kern, M.L. Personality, well-being, and health. Annu. Rev. Psychol. 2014, 65, 719–742. [Google Scholar] [CrossRef] [Green Version]
- Kern, M.L.; Hampson, S.E.; Goldberg, L.R.; Friedman, H.S. Integrating prospective longitudinal data: Modeling personality and health in the Terman Life Cycle and Hawaii Longitudinal Studies. Dev. Psychol. 2014, 50, 1390. [Google Scholar] [CrossRef] [Green Version]
- Strickhouser, J.E.; Zell, E.; Krizan, Z. Does personality predict health and well-being? A metasynthesis. Health Psychol. 2017, 36, 797. [Google Scholar] [CrossRef]
- Sutin, A.R.; Stephan, Y.; Luchetti, M.; Artese, A.; Oshio, A.; Terracciano, A. The five-factor model of personality and physical inactivity: A meta-analysis of 16 samples. J. Res. Personal. 2016, 63, 22–28. [Google Scholar] [CrossRef] [PubMed]
- Stephan, Y.; Sutin, A.R.; Bayard, S.; Križan, Z.; Terracciano, A. Personality and sleep quality: Evidence from four prospective studies. Health Psychol. 2018, 37, 271. [Google Scholar] [CrossRef]
- Stephan, Y.; Sutin, A.R.; Bovier-Lapierre, G.; Terracciano, A. Personality and walking speed across adulthood: Prospective evidence from five samples. Soc. Psychol. Personal. Sci. 2018, 9, 773–780. [Google Scholar] [CrossRef]
- Luchetti, M.; Barkley, J.M.; Stephan, Y.; Terracciano, A.; Sutin, A.R. Five-factor model personality traits and inflammatory markers: New data and a meta-analysis. Psychoneuroendocrinology 2014, 50, 181–193. [Google Scholar] [CrossRef] [Green Version]
- Olsson, T.; Barcellos, L.F.; Alfredsson, L. Interactions between genetic, lifestyle and environmental risk factors for multiple sclerosis. Nat. Rev. Neurol. 2017, 13, 25–36. [Google Scholar] [CrossRef] [PubMed]
- Kroencke, L.; Harari, G.M.; Katana, M.; Gosling, S.D. Personality trait predictors and mental well-being correlates of exercise frequency across the academic semester. Soc. Sci. Med. 2019, 236, 112400. [Google Scholar] [CrossRef]
- Hakulinen, C.; Hintsanen, M.; Munafò, M.R.; Virtanen, M.; Kivimäki, M.; Batty, G.D.; Jokela, M. Personality and smoking: Individual-participant meta-analysis of nine cohort studies. Addiction 2015, 110, 1844–1852. [Google Scholar] [CrossRef] [Green Version]
- Kang, W. Personality predicts smoking frequency: An empirical examination separated by sex. Personal. Individ. Differ. 2022, 199, 111843. [Google Scholar] [CrossRef]
- Luchetti, M.; Sutin, A.R.; Delitala, A.; Stephan, Y.; Fiorillo, E.; Marongiu, M.; Masala, M.; Schlessinger, D.; Terracciano, A. Personality traits and facets linked with self-reported alcohol consumption and biomarkers of liver health. Addict. Behav. 2018, 82, 135–141. [Google Scholar] [CrossRef]
- Sutin, A.R.; Stephan, Y.; Terracciano, A. Facets of conscientiousness and objective markers of health status. Psychol. Health 2018, 33, 1100–1115. [Google Scholar] [CrossRef] [PubMed]
- Hakulinen, C.; Elovainio, M.; Pulkki-Råback, L.; Virtanen, M.; Kivimäki, M.; Jokela, M. Personality and depressive symptoms: Individual participant meta-analysis of 10 cohort studies. Depress. Anxiety 2015, 32, 461–470. [Google Scholar] [CrossRef] [PubMed]
- Chapman, B.P.; Duberstein, P.R.; Sörensen, S.; Lyness, J.M. Personality and perceived health in older adults: The five factor model in primary care. J. Gerontol. Ser. B Psychol. Sci. Soc. Sci. 2006, 61, P362–P365. [Google Scholar] [CrossRef] [PubMed]
Mean | S.D. | |
---|---|---|
Age | 47.01 | 16.31 |
Monthly income | 1465.90 | 1381.38 |
Neuroticism | 3.58 | 1.43 |
Agreeableness | 5.64 | 1.02 |
Openness | 4.58 | 1.28 |
Conscientiousness | 5.51 | 1.08 |
Extraversion | 4.58 | 1.30 |
N | % | |
Sex | ||
Male | 7583 | 42.62 |
Female | 10,208 | 57.38 |
Highest educational qualification | ||
Below college | 11,752 | 66.06 |
College | 6039 | 33.94 |
Legal marital status | ||
Single | 7848 | 44.11 |
Married | 9943 | 55.89 |
Residence | ||
Urban | 13,423 | 74.45 |
Rural | 4368 | 24.55 |
MS at Wave 10 | ||
Yes | 17,727 | 99.64 |
No | 64 | 0.36 |
OR | P | 95% C.I. | |
---|---|---|---|
Age | 1.00 | 0.72 | (0.99, 1.02) |
Sex | 2.37 | <0.01 | (1.29, 4.36) |
Monthly income | 1.00 | 0.59 | (1.00, 1.00) |
Highest educational qualification | 2.42 | <0.01 | (1.41, 4.15) |
Marital status | 0.74 | 0.25 | (0.45, 1.23) |
Residence | 1.11 | 0.72 | (0.63, 1.97) |
Neuroticism | 0.88 | 0.40 | (0.67, 1.17) |
Agreeableness | 1.09 | 0.56 | (0.81, 1.47) |
Openness | 0.68 | <0.01 | (0.51, 0.89) |
Conscientiousness | 0.70 | <0.05 | (0.52, 0.93) |
Extraversion | 1.09 | 0.55 | (0.82, 1.44) |
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Kang, W. Personality Traits Predict 7-Year Risk of Diagnosis of Multiple Sclerosis: A Prospective Study. J. Clin. Med. 2023, 12, 682. https://doi.org/10.3390/jcm12020682
Kang W. Personality Traits Predict 7-Year Risk of Diagnosis of Multiple Sclerosis: A Prospective Study. Journal of Clinical Medicine. 2023; 12(2):682. https://doi.org/10.3390/jcm12020682
Chicago/Turabian StyleKang, Weixi. 2023. "Personality Traits Predict 7-Year Risk of Diagnosis of Multiple Sclerosis: A Prospective Study" Journal of Clinical Medicine 12, no. 2: 682. https://doi.org/10.3390/jcm12020682