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The right kind of smart: emotional intelligence’s relationship to cognitive status in community-dwelling older adults

Published online by Cambridge University Press:  30 January 2019

Odelyah Saad*
Affiliation:
The Cheryl Spencer Department of Nursing, Faculty of Social Welfare and Health Science, University of Haifa, Haifa, Israel JCT—Jerusalem College of Technology, Lev Academic Center, Jerusalem, Israel
Leehu Zysberg
Affiliation:
Department of Educational Leadership and Administration, Gordon College of Education, Haifa, Israel
Jeremia Heinik
Affiliation:
Academic Center for Continuing Medical Education, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
Ron Ben-Itzhak
Affiliation:
Geriatric Service, Sourasky Medical Center, Ichilov Hospital, Tel Aviv-Yafo, Israel
Anna Zisberg
Affiliation:
The Cheryl Spencer Department of Nursing, Faculty of Social Welfare and Health Science, University of Haifa, Haifa, Israel
*
Correspondence should be addressed to: Odelyah Saad, Lev Academic Center, Campus Tal, 21 Havaad Haleumi, P.O.B. 16031, Jerusalem 91160, Israel. Email: [email protected].
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Abstract

Objectives:

To examine whether emotional intelligence (EI) is associated with cognitive function (CF) in a sample of community-dwelling, non-demented elderly out-patients.

Design:

Correlational cross-sectional study.

Setting:

Two memory clinics in an urban community in central Israel.

Participants:

Individuals age 60 and older without dementia, recruited from two memory clinics (N = 151).

Measurements:

Health history was obtained from medical charts. All participants underwent tests measuring CF, basic and instrumental function, general mental ability (GMA), EI, and depression.

Results:

Mean age of the participants was 79 years (SD = 7.00) with 96 females (63.6%). Mean score for Montreal Cognitive Assessment (MoCA) was 21.62 (SD = 3.09) and for EI was 14.08 (SD = 3.30). Linear multiple regression analysis was conducted to examine associations of CF with EI while controlling for gender, age, education, GMA, and Charlson Comorbidity Index (CCI). Age, education, GMA, and CCI were significant correlates of CF and accounted for 31.1% of the variance [F(7,143) = 10.8, p<0.01] in CF. EI was added in the second block and was the factor most strongly associated with CF, explaining an additional 9.1% (a total of 40.2%) of the variance in CF [F(8,142) = 13.2, p<0.01].

Conclusion:

This study is the first to show the association between EI and CF in older adults. Future prospective studies are needed to explicate the possibility of EI as a protective factor against cognitive decline.

Type
Original Research Article
Copyright
© International Psychogeriatric Association 2019 

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References

Almeida, O. P., Beer, C., Lautenschlager, N. T., Arnolda, L., Alfonso, H. and Flicker, L. (2012). Two-year course of cognitive function and mood in adults with congestive heart failure and coronary artery disease: the Heart-Mind Study. International Psychogeriatrics, 24, 3847. doi: 10.1017/S1041610211001657.CrossRefGoogle ScholarPubMed
American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders. Washington, DC: American Psychiatric Publishing. Google Scholar
Au, B., Dale-McGrath, S. and Tierney, M. C. (2016). Sex differences in the prevalence and incidence of mild cognitive impairment: a meta-analysis. Ageing Research Reviews, 35, 176199. doi: 10.1016/j.arr.2016.09.005.CrossRefGoogle ScholarPubMed
Barbey, A. K., Colom, R., and Grafman, J. (2012). Distributed neural system for emotional intelligence revealed by lesion mapping. Social Cognitive and Affective Neuroscience, 9, 265272.CrossRefGoogle ScholarPubMed
Bar-On, R. (2007). The Bar-On model of emotional intelligence: a valid, robust and applicable EI model. Organisations & People, 14, 2734.Google Scholar
Brown, L. M. and Schinka, J. A. (2005). Development and initial validation of a 15-item informant version of the Geriatric Depression Scale. International Journal of Geriatric Psychiatry, 20, 911918. doi: 10.1002/gps.1375.CrossRefGoogle ScholarPubMed
Chan, C. K., et al. (2018). Depressive symptoms in relation to clinical symptom onset of mild cognitive impairment. International Psychogeriatrics, 19. doi: 10.1017/S1041610218001138.Google ScholarPubMed
Charlson, M. E., Pompei, P., Ales, K. L. and MacKenzie, C. R. (1987). A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. Journal of Chronic Diseases, 40, 373383. doi: 10.1016/0021-9681(87)90171-8.CrossRefGoogle ScholarPubMed
Collin, C., Wade, D. T., Davies, S. and Horne, V. (1988). The Barthel ADL Index: a reliability study. Disability and Rehabilitation, 10, 6163. doi: 10.3109/09638288809164103.Google ScholarPubMed
Cook, C. J., Cook, C. E. and Hilton, T. N. (2016). Does emotional intelligence influence success during medical school admissions and program matriculation?: a systematic review. Journal of educational evaluation for health professions, 13, 18. doi: 10.3352/jeehp.2016.13.40.CrossRefGoogle ScholarPubMed
Fernández-Abascal, E. G. and Martín-Díaz, M. D. (2015). Dimensions of emotional intelligence related to physical and mental health and to health behaviors. Frontiers in Psychology, 6, 317. doi: 10.3389/fpsyg.2015.00317.CrossRefGoogle ScholarPubMed
Folstein, M. F., Folstein, S. E. and McHugh, P. R. (1975). “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189198. doi: 10.1016/0022-3956(75)90026-6.CrossRefGoogle ScholarPubMed
Galvin, J. E. (2017). Prevention of Alzheimer’s disease: lessons learned and applied. Journal of the American Geriatrics Society, 65, 21282133. doi: 10.1111/jgs.14997.CrossRefGoogle ScholarPubMed
Heinik, J., Werner, P. and Kave, G. (2008). Psychiatric diagnoses in a sample of outpatient psycho-geriatric new referrals with suspected mild cognitive impairment. The Open Geriatric Medicine Journal, 1, 1013. doi: 10.2174/1874827900801010010.CrossRefGoogle Scholar
Lana, A., Baizan, E. M., Faya-Ornia, G. and Lopez, M. L. (2015). Emotional intelligence and health risk behaviors in nursing students. The Journal of Nursing Education, 54, 464467. doi: 10.3928/01484834-20150717-08.CrossRefGoogle ScholarPubMed
Langa, K. M., et al. (2017). A comparison of the prevalence of dementia in the United States in 2000 and 2012. JAMA Internal Medicine, 177, 5158. doi: 10.1001/jamainternmed.2016.6807.CrossRefGoogle ScholarPubMed
Langa, K. M. and Levine, D. A. (2014). The diagnosis and management of mild cognitive impairment: a clinical review. Journal of the American Medical Association, 312, 25512561. doi: 10.1001/jama.2014.13806.CrossRefGoogle ScholarPubMed
Lawton, M. P. and Brody, E. M. (1969). Assessment of older people: self-maintaining and instrumental activities of daily living. The Gerontologist, 9, 179186. doi: 10.1093/geront/9.3_Part_1.179.CrossRefGoogle ScholarPubMed
Lifshitz, M., Dwolatzky, T. and Press, Y. (2012). Validation of the Hebrew version of the MoCA test as a screening instrument for the early detection of mild cognitive impairment in elderly individuals. Journal of Geriatric Psychiatry and Neurology, 25, 155161. doi: 10.1177/0891988712457047.CrossRefGoogle ScholarPubMed
Matthews, F., Marioni, R., Brayne, C., Medical Research Council Cognitive, F. and Ageing, S. (2012). Examining the influence of gender, education, social class and birth cohort on MMSE tracking over time: a population-based prospective cohort study. BMC Geriatrics, 12, 45. doi: 10.1186/1471-2318-12-45.CrossRefGoogle ScholarPubMed
Mayer, J. D., Caruso, D. R. and Salovey, P. (2016). The ability model of emotional intelligence: principles and updates. Emotion Review, 8, 290300. doi: 10.1177/1754073916639667.CrossRefGoogle Scholar
McHutchison, C. A., Backhouse, E. V., Cvoro, V., Shenkin, S. D. and Wardlaw, J. M. (2017). Education, socioeconomic status, and intelligence in childhood and stroke risk in later life: a meta-analysis. Epidemiology, 28, 608618. doi: 10.1097/EDE.0000000000000675.CrossRefGoogle ScholarPubMed
Mikolajczak, M., et al. (2015). A nationally representative study of emotional competence and health. Emotion, 15, 653667. doi: 10.1037/emo0000034.CrossRefGoogle ScholarPubMed
Nasreddine, Z. S., Collin, I., Chertkow, H., Phillips, N. B. H. and Whitehead, V. (2003). Sensitivity and specificity of the Montreal Cognitive Assessment (MoCA) for detection of mild cognitive deficits. Canadian Journal of Neurological Sciences, 30, S30.Google Scholar
Nasreddine, Z. S., et al. (2005). The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53, 695699. doi: 10.1111/j.1532-5415.2005.53221.x.CrossRefGoogle ScholarPubMed
Peña-Sarrionandia, A., Mikolajczak, M. and Gross, J. J. (2015). Integrating emotion regulation and emotional intelligence traditions: a meta-analysis. Frontiers in Psychology, 6, 160. doi: 10.3389/fpsyg.2015.00160.Google ScholarPubMed
Plassman, B. L., et al. (2011). Incidence of dementia and cognitive impairment, not dementia in the United States. Annals of Neurology, 70, 418426. doi: 10.1002/ana.22362.CrossRefGoogle Scholar
Praetorius, M., Thorvaldsson, V., Johansson, B. and Hassing, L. B. (2014). Gender differences in cognitive performance in old age: adjusting for longevity. GeroPsych: The Journal of Gerontopsychology and Geriatric Psychiatry, 27, 129134.CrossRefGoogle Scholar
Raven, J., Raven, J. C. and Court, J. H. (1998). Manual for Raven’s Progressive Matrices and Vocabulary Scales: Advanced Progressive Matrices. Oxford: Oxford Psychologists.Google Scholar
Roberts, R. O., et al. (2015). Risk and protective factors for cognitive impairment in persons aged 85 years and older. Neurology, 84, 18541861. doi: 10.1212/WNL.0000000000001537.CrossRefGoogle ScholarPubMed
Russ, T. C., Hannah, J., Batty, G. D., Booth, C. C., Deary, I. J. and Starr, J. M. (2017). Childhood cognitive ability and incident dementia: the 1932 Scottish Mental Survey cohort into their tenth decade. Epidemiology, 28, 361364. doi: 10.1097/EDE.0000000000000626.CrossRefGoogle Scholar
Salmaso, D., Villaggio, G., Copelli, S. and Caffarra, P. (1997). Coloured progressive matrices: error type in dementia and memory dysfunction. Genetic Counseling, 8, 181182.Google Scholar
Schaller, S., Mauskopf, J., Kriza, C., Wahlster, P. and Kolominsky-Rabas, P. L. (2015). The main cost drivers in dementia: a systematic review. International Journal of Geriatric Psychiatry, 30, 111129. doi: 10.1002/gps.4198.CrossRefGoogle ScholarPubMed
Schneider, T. R., Lyons, J. B. and Khazon, S. (2013). Emotional intelligence and resilience. Personality and Individual Differences, 55, 909914. doi: 10.1016/j.paid.2013.07.460.CrossRefGoogle Scholar
Smits, C. H., Smit, J. H., van den Heuvel, N. and Jonker, C. (1997). Norms for an abbreviated Raven’s Coloured Progressive Matrices in an older sample. Journal of Clinical Psychology, 53, 687697.3.0.CO;2-F>CrossRefGoogle Scholar
Vassilaki, M., et al. (2015). Multimorbidity and risk of mild cognitive impairment. Journal of the American Geriatrics Society, 63, 17831790. doi: 10.1111/jgs.13612.CrossRefGoogle ScholarPubMed
World Health Organization. (2017). Dementia. Available at: http://www.who.int/mediacentre/factsheets/fs362/en/.Google Scholar
Zeidner, M. and Matthews, G. (2016). Ability emotional intelligence and mental health: social support as a mediator. Personality and Individual Differences, 99, 196199. doi: 10.1016/j.paid.2016.05.008.CrossRefGoogle Scholar
Zysberg, L. (2014). Emotional intelligence, personality, and gender as factors in disordered eating patterns. Journal of Health Psychology, 19, 10351042. doi: 10.1177/1359105313483157.CrossRefGoogle ScholarPubMed
Zysberg, L. (2018). Emotional intelligence and health outcomes. Psychology, 9, 24712481. doi: 10.4236/psych.2018.911142.CrossRefGoogle Scholar
Zysberg, L., Bar Yoseph, T. and Goldman, M. (2017a). Emotional intelligence and glycemic management among type I diabetes patients. Journal of Health Psychology, 22, 158163. doi: 10.1177/1359105315596373.CrossRefGoogle ScholarPubMed
Zysberg, L., Lang, T. and Zisberg, A. (2013). Parents’ emotional intelligence and children’s type I diabetes management. Journal of Health Psychology, 18, 11211128. doi: 10.1177/1359105312459097.CrossRefGoogle ScholarPubMed
Zysberg, L., Levy, A. and Zisberg, A. (2011). Emotional intelligence in applicant selection for care-related academic programs. Journal of Psychoeducational Assessment, 29, 2738. doi: 10.1177/0734282910365059.CrossRefGoogle Scholar
Zysberg, L., Orenshtein, C., Gimmon, E. and Robinson, R. (2017b). Emotional intelligence, personality, stress, and burnout among educators. International Journal of Stress Management, 24, 122136. doi: 10.1037/str0000028.CrossRefGoogle Scholar
Zysberg, L. and Raz, S. (2015). Emotional Intelligence: Current Evidence from Psychophysiological, Educational and Organizational Perspectives. Hauppauge, NY: Nova.Google Scholar