Demographic Characteristics and Personality Variables as Predictors of Health Information Literacy in Young Adults

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 810)

Abstract

A quantitative study linking individual differences in health information literacy to personality traits and demographic variables is presented. Vocational students from health-related, commercial, and technical professions (N = 317) completed the 30-item version of the NEO Five-Factor Inventory (NEO-FFI-30), a questionnaire measuring the five personality dimensions of neuroticism, extraversion, openness, agreeableness, and conscientiousness, as well as the Health Information Literacy Knowledge Test (HILK). Additionally, each participant indicated his or her gender, age, level of education, and occupation. A multiple regression analysis identified extraversion and education as significant predictors of health information literacy. In addition, a mediating effect of education in the relation between openness and health information literacy was revealed. No significant effects were found for gender, age, and occupation. Possible explanations of the findings as well as implications for promoting health information literacy in young adults are discussed.

Keywords

Health information literacy Interindividual differences Personality traits Demographic factors Vocational students 

References

  1. 1.
    Jayanti, R.K., Burns, A.C.: The antecedents of preventive health care behavior: an empirical study. J. Acad. Mark. Sci. 26(1), 6–15 (1998)CrossRefGoogle Scholar
  2. 2.
    Hsu, C.E., Johnson, L., Brooks, A.N.: Promoting health information literacy. Collaborative opportunities for teaching and academic librarian faculty. Acad. Exch. Q. 7(1), 200–207 (2003)Google Scholar
  3. 3.
    Hirvonen, N.: Health information matters: everyday health information literacy and behaviour in relation to health behaviour and physical health among young men. Acta Univ. Oul. B 133 (2015). http://jultika.oulu.fi/files/isbn9789526210407.pdf
  4. 4.
    Ivanitskaya, L., Boyle, I.O., Casey, A.M.: Health information literacy and competencies of information age students: results from the interactive online Research Readiness Self-Assessment (RRSA). J. Med. Internet Res. 8(2) (2006).  https://doi.org/10.2196/jmir.8.2.e6
  5. 5.
    Medical Library Association Task Force on Health Information: Health Information Literacy Definitions (2003)Google Scholar
  6. 6.
    American Library Association: Presidential Committee on Information Literacy: Final Report (1989)Google Scholar
  7. 7.
    Sørensen, K., Van den Broucke, S., Fullam, J., Doyle, G., Pelikan, J., Slonska, Z., Brand, H.: Health literacy and public health: a systematic review and integration of definitions and models. BMC Public Health 12(80) (2012).  https://doi.org/10.1186/1471-2458-12-80
  8. 8.
    Yates, C., Stoodley, I.D., Partridge, H.L., Bruce, C.S., Cooper, H., Day, G., Edwards, S.L.: Exploring health information use by older australians within everyday life. Libr. Trends 60(3), 460–478 (2012)CrossRefGoogle Scholar
  9. 9.
    Eriksson-Backa, K.: Health information literacy and demographic background in relation to health risks, diabetes and heart disease among older finnish adults. Informaatiotutkimus 33(3) (2014). Retrieved from Informaatiotutkimuksen paivat 2014, 6. - 7. marraskuuta, Oulun yliopisto, OuluGoogle Scholar
  10. 10.
    Gray, N.J., Klein, J.D., Noyce, P.R., Sesselberg, T.S., Cantrill, J.A.: Health information-seeking behaviour in adolescence: the place of the internet. Soc. Sci. Med. 60(7), 1467–1478 (2005)CrossRefGoogle Scholar
  11. 11.
    Wang, M.P., Viswanath, K., Lam, T.H., Wang, X., Chan, S.S.: Social determinants of health information seeking among Chinese adults in Hong Kong. PloS ONE 8(8) (2013).  https://doi.org/10.1371/journal.pone.0073049
  12. 12.
    Schaeffer, D., Vogt, D., Berens, E.M., Hurrelmann, K.: Gesundheitskompetenz der Bevölkerung in Deutschland: Ergebnisbericht. Universität Bielefeld, Bielefeld (2016)Google Scholar
  13. 13.
    Noelke, L., Mensing, M., Kraemer, A., Hornberg, C.: Sociodemographic and health-(care) related characteristics of online health information seekers: a cross-sectional German study. BMC Public Health 15(31) (2015).  https://doi.org/10.1186/s12889-015-1423-0
  14. 14.
    Flash Eurobarometer 404: European Citizens’ Digital Health Literacy. A Report to the European Commission (2014)Google Scholar
  15. 15.
    Kutner, M., Greenberg, E., Jin, Y., Paulsen, C.: The Health Literacy of America’s Adults: Results from the 2003 National Assessment of Adult Literacy. National Center for Education Statistics, Washington DC (2006)Google Scholar
  16. 16.
    Hirvonen, N., Ek, S., Niemelä, R., Korpelainen, R., Huotari, M.L.: Sociodemographic characteristics associated with the everyday health information literacy of young men. Inf. Res. 20(1) (2015). https://files.eric.ed.gov/fulltext/EJ1060510.pdf
  17. 17.
    Heinström, J.: Five personality dimensions and their influence on information behaviour. Inf. Res. 9(1) (2003). https://byupustakawan.wordpress.com/2008/03/15/five-personality-dimensions-and-their-influence-on-information-behaviour/
  18. 18.
    Heinström, J.: Fast surfing, broad scanning and deep diving: the influence of personality and study approach on students’ information-seeking behavior. J. Doc. 61(2), 228–247 (2005)CrossRefGoogle Scholar
  19. 19.
    Halder, S., Roy, A., Chakraborty, P.K.: The influence of personality traits on information seeking behaviour of students. Malays. J. Libr. Inf. Sci. 15(1), 41–53 (2010)Google Scholar
  20. 20.
    Lagoe, C., Atkin, D.: Health anxiety in the digital age: an exploration of psychological determinants of online health information seeking. Comput. Hum. Behav. 52, 484–491 (2015)CrossRefGoogle Scholar
  21. 21.
    Hill, E.M., Gick, M.L.: The big five and cervical screening barriers: evidence for the influence of conscientiousness extraversion openness. Pers. Individ. Differ. 50(5), 662–667 (2011)CrossRefGoogle Scholar
  22. 22.
    Raynor, D.A., Levine, H.: Associations between the five-factor model of personality and health behaviors among college students. J. Am. Coll. Health 58(1), 73–82 (2009)CrossRefGoogle Scholar
  23. 23.
    Costa, P.T., McCrae, R.R.: Revised NEO Personality Inventory (NEO PI-R) and NEO Five-Factor Inventory (NEO-FFI): Professional Manual. Psychol Assess Resour, Odessa (1992)Google Scholar
  24. 24.
    Schmidt, T., Wolff, C.: Personality and information behavior in web search. Proc. Assoc. Inf. Sci. Technol. 53(1), 1–6 (2016)CrossRefGoogle Scholar
  25. 25.
    Mayer, A.-K.: Subjective and objective measures of health information literacy: do they provide complementary or redundant information? In: Kurbanoğlu, S., Boustany, J., Špiranec, S., Grassian, E., Mizrachi, D., Roy, L., Çakmak, T. (eds.) Communications in Computer and Information Science: Workplace Information Literacy, Fifth European Conference, ECIL 2017, Saint-Malo, France, 18–21 September 2017, revised selected papersGoogle Scholar
  26. 26.
    Körner, A., Geyer, M., Roth, M., Drapeau, M., Schmutzer, G., Albani, C., Schuhmann, S., Braehler, E.: Persönlichkeitsdiagnostik mit dem NEO-Fünf-Faktoren-Inventar: Die 30-Item-Kurzversion (NEO-FFI-30). Psychother. Psychosom. Med. Psychol. 58(06), 238–245 (2008)CrossRefGoogle Scholar
  27. 27.
    De Raad, B., Schouwenburg, H.C.: Personality in learning and education: a review. Eur. J. Pers. 10(5), 303–336 (1996)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.ZPID - Leibniz Institute for Psychology InformationTrierGermany

Personalised recommendations