Measuring Health Literacy among seniors: validation of the European Health Literacy Survey Questionnaire 6 in the Tuscan PASSI sample

Measuring Health Literacy among seniors: validation of the European Health Literacy Survey Questionnaire 6 in the Tuscan PASSI sample

Authors

  • Guglielmo Bonaccorsi Department of Health Sciences, University of Florence, Italy
  • Patrizio Zanobini Department of Health Sciences, University of Florence, Italy
  • Claudia Biagi Department of Health Sciences, University of Florence, Italy
  • Michele Volpi Department of Health Sciences, University of Florence, Italy
  • Valentina Possenti Centro Nazionale per la Prevenzione della Malattie e la Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
  • Valentina Minardi Centro Nazionale per la Prevenzione della Malattie e la Promozione della Salute, Istituto Superiore di Sanità, Rome, Italy
  • Maria Masocco Centro Nazionale per la Prevenzione della Malattie e la Promozione della Salute, Istituto Superiore di Sanità, Rome, [email protected]
  • Giovanna Mereu Department of Prevention, Azienda Unità Sanitaria Locale (AUSL) Toscana Centro, Florence, Italy
  • Rossella Cecconi Department of Prevention, Azienda Unità Sanitaria Locale (AUSL) Toscana Centro, Florence, Italy
  • Giorgio Garofalo Department of Prevention, Azienda Unità Sanitaria Locale (AUSL) Toscana Centro, Florence, Italy
  • Chiara Lorini Department of Health Sciences, University of Florence, Italy

Keywords:

Health literacy; HLS-EU-Q6; validation process; older adults; seniors

Abstract

Background. The demographic transition has led to an increase in the older population, resulting in a rise in individuals with comorbidities and reduced self-sufficiency. Low health literacy levels are associated with poor health outcomes especially among vulnerable groups (like older individuals). Enhancing health literacy through targeted programs is crucial for improving self-care in chronic conditions. To date, in Italy, there are no validated tools to measure health literacy in older people. Thus, the aim of this study is to validate the European Health Literacy Survey Questionnaire 6 in a Tuscan (Italy) sample of senior individuals.

Study design. Cross-sectional.

Methods. The sample was drawn from the Surveillance System of Advancements in health of the Italian Local Healthcare Units from 2017 to 2019. Item analysis, Cronbach’s alpha and confirmatory factor analysis were used to validate the scale. Additionally, associations between Health Literacy levels and sociodemographic characteristics were analyzed.

Results. A total of 11,000 subjects were interviewed, with 1,080 (10%) aged 65-69. Cronbach’s alpha was 0.89. In the older subgroup, the percentage of missing responses ranged from 4.54% to 11.85%, with the fourth item having the highest percentage of missing values. The confirmatory factor analysis revealed that the three-factor model showed a better fit to the data compared to the unidimensional model. Similar findings were observed in the 18-65-year-old population. In both groups, individuals with economic difficulties or lower education were at higher risk of having inadequate levels of health literacy. Moreover, in the 18-64 age group, being female reduced the probability of having an inadequate health literacy level, while being inactive/retired or a foreigner increased it.

Conclusions. The study provides preliminary evidence supporting the validity and reliability of the European Health Literacy Survey Questionnaire 6 for assessing health literacy in the Italian older population. Further research is necessary to confirm these findings, particularly in samples of individuals aged over 69 years.

References

1. Beard JR, Officer A, De Carvalho IA, Sadana R, Pot AM, Michel JP, et al. The World report on ageing and health: a policy framework for healthy ageing. Lancet. 2016 May 21;387(10033):2145-54. doi: 10.1016/S0140-6736-(15)00516-4. Epub 2015 Oct 29. PMID: 26520231; PMCID: PMC4848186.

2. Annuario Statistico Italiano. Rome: Istituto Nazionale di Statistica; 2022. Available from: https://www.istat.it/storage/ASI/2022/ASI_2022.pdf [Last accessed: 2025 Mar 6].

3. Available from: https://www.istat.it/it/files/2022/03/Il-Censimento-permanente-della-popolazione-in-Toscana_focus-2.pdf [Last accessed: 2025 Mar 6].

4. Fried LP, Ferrucci L, Darer J, Williamson JD, Anderson G. Untangling the Concepts of Disability, Frailty, and Comorbidity: Implications for Improved Targeting and Care. J Gerontol A Biol Sci Med Sci. 2004 Mar;59(3):M255-63. doi: 10.1093/gerona/59.3.m255. PMID: 15031310.

5. Paasche-Orlow MK, Wolf MS. The Causal Pathways Linking Health Literacy to Health Outcomes. Am J Health Behav. 2007 Sep-Oct;31(Suppl 1):S19-26. doi: 10.5555/ajhb.2007.31.supp.S19. PMID: 17931132.

6. Berkman ND, Sheridan SL, Donahue KE, Halpern DJ, Crotty K. Low Health Literacy and Health Outcomes: An Updated Systematic Review. Ann Intern Med. 2011 Jul 19;155(2):97-107. doi: 10.7326/0003-4819-155-2-201107190-00005. PMID: 21768583.

7. Sørensen K, Van Den Broucke S, Fullam J, Doyle G, Pelikan J, Slonska Z, et al. Health literacy and public health: A systematic review and integration of definitions and models. BMC Public Health. 2012 Jan 25;12(1):80. doi: 10.1186/1471-2458-12-80. PMID: 22276600; PMCID: PMC3292515.

8. Kickbusch I, Pelikan JM, Apfel F, Tsouros AD, World Health Organization. Health literacy: the solid facts. Copenhagen: World Health Organization Regional Office for Europe; 2013. 73 p.

9. Sørensen K, Pelikan JM, Röthlin F, Ganahl K, Slonska Z, Doyle G, et al. Health literacy in Europe: comparative results of the European health literacy survey (HLS-EU). Eur J Public Health. 2015 Dec;25(6):1053-8. doi: 10.1093/eurpub/ckv043. Epub 2015 Apr 5. PMID: 25843827; PMCID: PMC4668324.

10. Chesser AK, Keene Woods N, Smothers K, Rogers N. Health Literacy and Older Adults: A Systematic Review. Gerontol Geriatr Med. 2016 Mar 15;2:233372141663049. doi: 10.1177/2333721416630492. PMID: 28138488; PMCID: PMC5119904.

11. McGilton KS, Vellani S, Yeung L, Chishtie J, Commisso E, Ploeg J, et al. Identifying and understanding the health and social care needs of older adults with multiple chronic conditions and their caregivers: a scoping review. BMC Geriatr. 2018 Oct 1;18(1):231. doi: 10.1186/s12877-018-0925-x. PMID: 30285641; PMCID: PMC6167839.

12. Bröder J, Chang P, Kickbusch I, Levin-Zamir D, McElhinney E, Nutbeam D, et al. IUHPE Position Statement on Health Literacy: a practical vision for a health literate world. Glob Health Promot. 2018 Dec 11;25(4):79-88. https://doi.org/10.1177/1757975918814421.

13. Tavousi M, Mohammadi S, Sadighi J, Zarei F, Kermani RM, Rostami R, et al. Measuring health literacy: A systematic review and bibliometric analysis of instruments from 1993 to 2021. Rios-González CM, curatore. PLoS One. 2022 Jul 15;17(7):e0271524. doi: 10.1371/journal.pone.0271524. PMID: 35839272; PMCID: PMC9286266.

14. Lorini C, Lastrucci V, Mantwill S, Vettori V, Bonaccorsi G; Florence Health Literacy Research Group. Measuring health literacy in Italy: a validation study of the HLS-EU-Q16 and of the HLS-EU-Q6 in Italian language, conducted in Florence and its surroundings. Ann Ist Super Sanita. 2019 Jan-Mar;55(1):10-8. doi: 10.4415/ANN_19_01_04. PMID: 30968831.

15. Epicentro. Available from: https://www.epicentro.iss.it/passi/en/english [Last accessed: 2025 Mar 6].

16. Baldissera S, Ferrante G, Quarchioni E, Minardi V, Possenti V, Carrozzi G, et al. Field substitution of nonresponders can maintain sample size and structure without altering survey estimates—the experience of the Italian behavioral risk factors surveillance system (PASSI). Ann Epidemiol. 2014 Apr;24(4):241-5. doi: 10.1016/j.annepidem.2013.12.003. Epub 2013 Dec 28. PMID: 24461932.

17. Unim B, De Vito C, Massimi A, D’Andrea E, Rosso A, Villari P, et al. The need to improve implementation and use of lifestyle surveillance systems for planning prevention activities: an analysis of the Italian Regions. Public Health. 2016 Jan;130:51-8. doi: 10.1016/j.puhe.2015.08.009. Epub 2015 Oct 1. PMID: 26427315.

18. Available from: https://www.oxfordbibliographies.com/display/document/obo-9780199756797/obo-9780199756797-0065.xml [Last accessed: 2025 Mar 6].

19. Zanobini P, Lorini C, Caini S, Lastrucci V, Masocco M, Minardi V, et al. Health Literacy, Socioeconomic Status and Vaccination Uptake: A Study on Influenza Vaccination in a Population-Based Sample. Int J Environ Public Health. 2022 Jun 6;19(11):6925. doi: 10.3390/ijerph19116925. PMID: 35682508; PMCID: PMC9180363.

20. Zanobini P, Lorini C, Lastrucci V, Minardi V, Possenti V, Masocco M, et al. Health Literacy, Socio-Economic Determinants, and Healthy Behaviours: Results from a Large Representative Sample of Tuscany Region, Italy. Int J Environ Res Public Health. 2021 Nov 26;18(23):12432. doi: 10.3390/ijerph182312432. PMID: 34886157; PMCID: PMC8656600.

21. Pelikan JM, Ganahl K. Measuring Health Literacy in General Populations: Primary Findings from the HLS-EU Consortium’s Health Literacy Assessment Effort. Stud Health Technol Inform. 2017;240:34-59. PMID: 28972508.

22. Pander Maat H, Essink-Bot ML, Leenaars KE, Fransen MP. A short assessment of health literacy (SAHL) in the Netherlands. BMC Public Health. 2014 Sep 23;14(1):990. doi: 10.1186/1471-2458-14-990. PMID: 25246170; PMCID: PMC4190424.

23. Pelikan JM, Röthlin F, Ganahl K. Measuring comprehensive health literacy in general populations: validation of instrument, indices and scales of the HLS-EU study. 6th Annual Health Literacy Research Conference. Bethesda, Maryland: November 3-4, 2014. Available from: www.bumc.bu.edu/healthliteracyconference/files/2014/06/Pelikan-et-al-HARC-2014-fin.pdf [Last accessed: 2025 Mar 6].

24. Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal. 1999 Jan;6(1):1-55. https://doi.org/10.1080/10705519909540118.

25. Paasche-Orlow MK, Parker RM, Gazmararian JA, Nielsen-Bohlman LT, Rudd RR. The prevalence of limited health literacy. J Gen Intern Med. 2005 Feb;20(2):175-84. doi: 10.1111/j.1525-1497.2005.40245.x. PMID: 15836552; PMCID: PMC1490053.

26. Rikard RV, Thompson MS, McKinney J, Beauchamp A. Examining health literacy disparities in the United States: a third look at the National Assessment of Adult Literacy (NAAL). BMC Public Health. 2016 Sep 13;16(1):975. doi: 10.1186/s12889-016-3621-9. PMID: 27624540; PMCID: PMC5022195.

27. Mantwill S, Monestel-Umaña S, Schulz PJ. The Relationship between Health Literacy and Health Disparities: A Systematic Review. PLoS One. 2015 Dec 23;10(12):e0145455. doi: 10.1371/journal.pone.0145455. PMID: 26698310; PMCID: PMC4689381.

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Published

2025-06-09

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Section

Original research

How to Cite

1.
Bonaccorsi G, Zanobini P, Biagi C, et al. Measuring Health Literacy among seniors: validation of the European Health Literacy Survey Questionnaire 6 in the Tuscan PASSI sample. Ann Ig. 2025;37(4):512-522. doi:10.7416/ai.2025.2704