全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

The Impact of Big Five Personality Traits on Older Europeans’ Physical Health

DOI: 10.4236/jbise.2024.172004, PP. 41-56

Keywords: Big Five Personality Traits, Physical Health, Older Europeans, SHARE, Principal Component Analysis

Full-Text   Cite this paper   Add to My Lib

Abstract:

Investigating the role of Big Five personality traits in relation to various health outcomes has been extensively studied. The impact of “Big Five” on physical health is here explored for older Europeans with a focus on examining age groups differences. The study sample included 378,500 respondents derived from the seventh data wave of Survey of Health, Aging and Retirement in Europe (SHARE). The physical health status of older Europeans was estimated by constructing an index considering the combined effect of well-established health indicators such as the number of chronic diseases, mobility limitations, limitations with basic and instrumental activities of daily living, and self-perceived health. This index was used for an overall physical health assessment, for which the higher the score for an individual, the worst health level. Then, through a dichotomization process applied to the retrieved Principal Component Analysis scores, a two-group discrimination (good or bad health status) of SHARE participants was obtained as regards their physical health condition, allowing for further con-structing logistic regression models to assess the predictive significance of “Big Five” and their protective role for physical health. Results showed that neuroti-cism was the most significant predictor of physical health for all age groups un-der consideration, while extraversion, agreeableness and openness were not found to significantly affect the self-reported physical health levels of midlife adults aged 50 up to 64. Older adults aged 65 up to 79 were more prone to open-ness, whereas the oldest old individuals aged 80 up to 105 were mainly affected by openness and conscientiousness.

References

[1]  Costa, P.T. and McCrae, R.R. (2008) The Revised Neo Personality Inventory (NEO-PI-R). In: Boyle, G.J., Matthews, G. & Saklofske, D.H., Eds., The SAGE Handbook of Personality Theory and Assessment, Vol. 2, SAGE Publications Ltd, New York, 179-198. https://doi.org/10.4135/9781849200479.n9
[2]  Power, R.A. and Pluess, M. (2015) Heritability Estimates of the Big Five Personality Traits Based on Common Genetic Variants. Translational Psychiatry, 5, e604. https://doi.org/10.1038/tp.2015.96
[3]  Shi, J., Yao, Y., Zhan, C., Mao, Z., Yin, F. and Zhao, X. (2018) The Relationship between Big Five Personality Traits and Psychotic Experience in a Large Non-Clinical Youth Sample: The Mediating Role of Emotion Regulation. Frontiers in Psychiatry, 9, Article No. 648. https://doi.org/10.3389/fpsyt.2018.00648
[4]  Jerram, K.L. and Coleman, P.G. (1999) The Big Five Personality Traits and Reporting of Health Problems and Health Behaviour in Old Age. British Journal of Health Psychology, 4, 181-192.
https://doi.org/10.1348/135910799168560
[5]  Goodwin, R.D. and Friedman, H.S. (2006) Health Status and the Five-Factor Personality Traits in a Nationally Representative Sample. Journal of Health Psychology, 11, 643-654. https://doi.org/10.1177/1359105306066610
[6]  Löckenhoff, C.E., Duberstein, P.R., Friedman, B. and Costa Jr., P.T. (2011) Five-Factor Personality Traits and Subjective Health among Caregivers: The Role of Caregiver Strain and Self-Efficacy. Psychology and Aging, 26, 592-604. https://doi.org/10.1037/a0022209
[7]  Linkievicz, N.M., Sgnaolin, V., Engroff, P., Behr Gomes Jardim, G. and Cataldo Neto, A. (2022) Association between Big Five Personality Factors and Medication Adherence in the Elderly. Trends in Psychiatry and Psychotherapy, 44, e20200143. https://doi.org/10.47626/2237-6089-2020-0143
[8]  Adachi, T., Tsunekawa, Y. and Tanimura, D. (2022) Association between the Big Five Personality Traits and Medication Adherence in Patients with Cardiovascular Disease: A Cross-Sectional Study. PLOS ONE, 17, e0278534. https://doi.org/10.1371/journal.pone.0278534
[9]  Axelsson, M., Lötvall, J., Cliffordson, C., Lundgren, J. and Brink, E. (2013) Self-Efficacy and Adherence as Mediating Factors between Personality Traits and Health-Related Quality of Life. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care & Rehabilitation, 22, 567-575.
https://doi.org/10.1007/s11136-012-0181-z
[10]  Lyon, K.A., Elliott, R., Ware, K., Juhasz, G. and Brown, L.J.E. (2021) Associations between Facets and Aspects of Big Five Personality and Affective Disorders: A Systematic Review and Best Evidence Synthesis. Journal of Affective Disorders, 288, 175-188. https://doi.org/10.1016/j.jad.2021.03.061
[11]  Weston, S.J. and Jackson, J.J. (2015) Identification of the Healthy Neurotic: Personality Traits Predict Smoking after Disease Onset. Journal of Research in Personality, 54, 61-69. https://doi.org/10.1016/j.jrp.2014.04.008
[12]  Hampson, S.E. (2012) Personality Processes: Mechanisms by Which Personality Traits “Get outside the Skin”. Annual Review of Psychology, 63, 315-339. https://doi.org/10.1146/annurev-psych-120710-100419
[13]  Clark, E.M., Williams, R.M., Park, C.L., Schulz, E., Williams, B.R. and Knott, C.L. (2019) Explaining the Relationship between Personality and Health in a National Sample of African Americans: The Mediating Role of Social Support. Journal of Black Psychology, 45, 339-375. https://doi.org/10.1177/0095798419873529
[14]  Kersting, K. (2003) Personality Changes for the Better with Age. Monitor on Psychology, 34, 14.
https://www.apa.org/monitor/julaug03/personality
https://doi.org/10.1037/e301162003-010
[15]  Donnellan, M.B. and Lucas, R.E. (2008) Age Differences in the Big Five across the Life Span: Evidence from Two National Samples. Psychology and Aging, 23, 558-566. https://doi.org/10.1037/a0012897
[16]  Kawamoto, T., Oshio, A., Abe, S., Tsubota, Y., Hirashima, T., Ito, H. and Tani, I. (2015) Age and Gender Differences of Big Five Personality Traits in a Cross-Sectional Japanese Sample. Japanese Journal of Developmental Psychology, 26, 107-122. https://psycnet.apa.org/record/2015-33363-003
[17]  Baek, Y., Martin, P., Siegler, I.C., Davey, A. and Poon, L.W. (2016) Personality Traits and Successful Aging: Findings from the Georgia Centenarian Study. The International Journal of Aging and Human Development, 83, 207-227. https://doi.org/10.1177/0091415016652404
[18]  Kang, W. (2023) Personality Predicts Self-Rated Health: Considering Age Differences. Frontiers in Psychology, 14, Article ID: 1143077. https://doi.org/10.3389/fpsyg.2023.1143077
[19]  Israel, S., Moffitt, T.E., Belsky, D.W., Hancox, R.J., Poulton, R., Roberts, B., Thomson, W.M. and Caspi, A. (2014) Translating Personality Psychology to Help Personalize Preventive Medicine for Young Adult Patients. Journal of Personality and Social Psychology, 106, 484-498. https://doi.org/10.1037/a0035687
[20]  Bergmann, M., Scherpenzeel, A. and Börsch-Supan, A. (2019) SHARE Wave 7 Methodology: Panel Innovations and Life Histories. Munich Center for the Economics of Aging (MEA), Munich.
[21]  Börsch-Supan, A., Brandt, M., Hunkler, C., Kneip, T., Korbmacher, J., Malter, F., Schaan, B., Stuck, S. and Zuber, S. (2013) Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology, 42, 992-1001. https://doi.org/10.1093/ije/dyt088
[22]  Börsch-Supan, A. (2022) Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 7. Release Version: 8.0.0. SHARE-ERIC. Data Set.
[23]  Andridge, R.R. and Little, R.J. (2010) A Review of Hot Deck Imputation for Survey Non-Response. International Statistical Review, 78, 40-64. https://doi.org/10.1111/j.1751-5823.2010.00103.x
[24]  Stuck, S., Zuber, S., Kotte, M., Franzese, F., Gruber, S., Birkenbach, T., Pflüger, S., Atzendorf, J., Brändle C. and Gerum, M. (2022) SHARE Release Guide 8.0.0. Munich Center for the Economics of Aging, Munich.
https://share-eric.eu/fileadmin/user_upload/Release_Guides/SHARE_release_guide_8-0-0.pdf
[25]  Gumà, J. (2021) What Influences Individual Perception of Health? Using Machine Learning to Disentangle Self-Perceived Health. SSM-Population Health, 16, Article ID: 100996.
https://doi.org/10.1016/j.ssmph.2021.100996
[26]  Pearson, K. (1901) LIII. On Lines and Planes of Closest Fit to Systems of Points in Space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2, 559-572.
https://doi.org/10.1080/14786440109462720
[27]  Hotelling, H. (1933) Analysis of a Complex of Statistical Variables into Principal Components. Journal of Educational Psychology, 24, 417-441. https://doi.org/10.1037/h0071325
[28]  Tabachnick, B.G., Fidell, L.S. and Ullman, J.B. (2013) Using Multivariate Statistics. Vol. 6, Pearson, Boston, 497-516.
https://ebook.upgrisba.ac.id/ebook/komputer-informasi-referensi-umum/6th-edition-using-multivariate-statistics-pearson/download
[29]  Jolliffe, I.T. and Cadima, J. (2016) Principal Component Analysis: A Review and Recent Developments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374, Article ID: 20150202. https://doi.org/10.1098/rsta.2015.0202
[30]  Kolenikov, S. and Angeles, G. (2009) Socioeconomic Status Measurement with Discrete Proxy Variables: Is Principal Component Analysis a Reliable Answer? Review of Income and Wealth, 55, 128-165.
https://doi.org/10.1111/j.1475-4991.2008.00309.x
[31]  Kolenikov, S. and Angeles, G. (2004) The Use of Discrete Data in PCA: Theory, Simulations, and Applications to Socioeconomic Indices. Carolina Population Center, University of North Carolina, Chapel Hill, Vol. 20, 1-59.
https://www.measureevaluation.org/resources/publications/wp-04-85.html
[32]  Johnson, R.A. and Wichern, D.W. (2002) Applied Multivariate Statistical Analysis. 6th Edition, Prentice Hall, Upper Saddle River.
https://www.webpages.uidaho.edu/~stevel/519/Applied%20Multivariate%20Statistical%20Analysis%20by%20Johnson%20and%20Wichern.pdf
[33]  Perkins, N.J. and Schisterman, E.F. (2006) The Inconsistency of “Optimal” Cutpoints Obtained Using Two Criteria Based on the Receiver Operating Characteristic Curve. American Journal of Epidemiology, 163, 670-675.
https://doi.org/10.1093/aje/kwj063
[34]  MacCallum, R.C., Zhang, S., Preacher, K.J. and 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
[35]  Nelson, S.P., Ramakrishnan, V., Nietert, P.J., Kamen, D.L., Ramos, P.S. and Wolf, B.J. (2017) An Evaluation of Common Methods for Dichotomization of Continuous Variables to Discriminate Disease Status. Communications in Statistics—Theory and Methods, 46, 10823-10834. https://doi.org/10.1080/03610926.2016.1248783
[36]  Le, C.T. (2009) Applied Categorical Data Analysis and Translational Research. John Wiley & Sons, Hoboken.
https://lccn.loc.gov/98014782
[37]  Hosmer Jr., D.W and Lemeshow, S. (2000) Applied Logistic Regression. 2nd Edition, John Wiley & Sons, Inc., New York. https://doi.org/10.1002/0471722146
[38]  Freedman, D.A. (2009) Statistical Models: Theory and Practice. Cambridge University Press, Cambridge.
https://doi.org/10.1017/CBO9780511815867
[39]  Truett, J., Cornfield, J. and Kannel, W. (1967) A Multivariate Analysis of the Risk of Coronary Heart Disease in Framingham. Journal of Chronic Diseases, 20, 511-524. https://doi.org/10.1016/0021-9681(67)90082-3
[40]  Atherton, O.E., Robins, R.W., Rentfrow, P.J. and Lamb, M.E. (2014) Personality Correlates of Risky Health Outcomes: Findings from a Large Internet Study. Journal of Research in Personality, 50, 56-60.
https://doi.org/10.1016/j.jrp.2014.03.002
[41]  Lever, J., Krzywinski, M. and Altman, N. (2017) Points of Significance: Principal Component Analysis. Nature Methods, 14, 641-643. https://doi.org/10.1038/nmeth.4346
[42]  d’Aspremont, A., Ghaoui, L., Jordan, M. and Lanckriet, G. (2004) A Direct Formulation for Sparse PCA Using Semidefinite Programming. Advances in Neural Information Processing Systems, 49, 434-448.
https://doi.org/10.2139/ssrn.563524
[43]  Krause, N., Shaw, B.A. and Cairney, J. (2004) A Descriptive Epidemiology of Lifetime Trauma and the Physical Health Status of Older Adults. Psychology and Aging, 19, 637-648. https://doi.org/10.1037/0882-7974.19.4.637
[44]  Al Senany, S. and Al Saif, A. (2015) Assessment of Physical Health Status and Quality of Life among Saudi Older Adults. Journal of Physical Therapy Science, 27, 1691-1695. https://doi.org/10.1589/jpts.27.1691
[45]  Gobbens, R.J. (2018) Associations of ADL and IADL Disability with Physical and Mental Dimensions of Quality of Life in People Aged 75 Years and Older. PeerJ, 6, e5425. https://doi.org/10.7717/peerj.5425
[46]  Ćwirlej-Sozańska, A., Wiśniowska-Szurlej, A., Wilmowska-Pietruszyńska, A. and Sozański, B. (2019) Determinants of ADL and IADL Disability in Older Adults in Southeastern Poland. BMC Geriatrics, 19, Article No. 297.
https://doi.org/10.1186/s12877-019-1319-4
[47]  Mourão, L.F., Xavier, D.A.N., Neri, A.L. and Luchesi, K.F. (2016) Association Study between Natural Chronic Diseases of Aging and Swallowing Changes Referred by Community Elderly. Audiology-Communication Research, 21, e1657.
[48]  Josefsson, K., Andersson, M. and Erikstedt, A. (2016) Older Adults’ Self-Rated Health and Differences by Age and Gender: A Quantitative Study. Healthy Aging Research, 5, 1-10.
https://doi.org/10.1097/01.HXR.0000511864.85548.25
[49]  Huang, I.C., Lee, J.L., Ketheeswaran, P., Jones, C.M., Revicki, D.A. and Wu, A.W. (2017) Does Personality Affect Health-Related Quality of Life? A Systematic Review. PLOS ONE, 12, e0173806.
https://doi.org/10.1371/journal.pone.0173806
[50]  Lahey, B.B. (2009) Public Health Significance of Neuroticism. American Psychologist, 64, 241-256.
https://doi.org/10.1037/a0015309
[51]  Hudek-Knežević, J. and Kardum, I. (2009) Five-Factor Personality Dimensions and 3 Health-Related Personality Constructs as Predictors of Health. Croatian Medical Journal, 50, 394-402.
https://doi.org/10.3325/cmj.2009.50.394
[52]  Turiano, N.A., Pitzer, L., Armour, C., Karlamangla, A., Ryff, C.D. and Mroczek, D.K. (2012) Personality Trait Level and Change as Predictors of Health Outcomes: Findings from a National Study of Americans (MIDUS). Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 67, 4-12.
https://doi.org/10.1093/geronb/gbr072
[53]  Chapman, B.P., Roberts, B. and Duberstein, P. (2011) Personality and Longevity: Knowns, Unknowns, and Implications for Public Health and Personalized Medicine. Journal of Aging Research, 2011, Article ID: 759170.
https://doi.org/10.4061/2011/759170
[54]  Cheng, C.H.E., Weiss, J.W. and Siegel, J.M. (2015) Personality Traits and Health Behaviors as Predictors of Subjective Wellbeing among a Multiethnic Sample of University-Attending Emerging Young Adults. International Journal of Wellbeing, 5, 21-43. https://doi.org/10.5502/ijw.v5i3.2
[55]  Lehmann, R., Denissen, J.J., Allemand, M. and Penke, L. (2013) Age and Gender Differences in Motivational Manifestations of the Big Five from Age 16 to 60. Developmental Psychology, 49, 365-383.
https://doi.org/10.1037/a0028277

Full-Text

Contact Us

[email protected]

QQ:3279437679

WhatsApp +8615387084133