The Italian Version of the Illness Identity Questionnaire: A Preliminary Psychometric Validation in Adults with Chronic Illness
DOI:
https://doi.org/10.13129/2282-1619/mjcp-5427Keywords:
Chronic illness, IIQ, Illness identity, Identity, Psychometric validation, QuestionnaireAbstract
Introduction: Illness identity, defined as the extent to which a chronic condition is integrated into one’s sense of self, is a key construct for psychological adjustment and quality of life. In the absence of validated instruments in Italian, this study aimed to translate, culturally adapt, and validate the Illness Identity Questionnaire (IIQ).
Methods: A cross-sectional study was conducted with 132 adults diagnosed with a chronic condition for at least six months. The factorial structure of the 25-item scale was examined using confirmatory factor analysis (CFA). Reliability (McDonald’s ω and Cronbach’s α) and construct validity were assessed through inter-factor correlations.
Results: CFA provided support for the original four-factor structure, showing overall acceptable but not optimal fit indices and adequate factor loadings. The alternative unidimensional model showed poor fit. Reliability ranged from satisfactory to excellent. Inter-factor correlations supported construct validity and were consistent with the theoretical model.
Conclusions: The study demonstrates promising preliminary psychometric properties of the Italian version of the IIQ and represents a useful tool for assessing adaptation to chronic illness.
References
1. Ahmad, N., Alias, F. A., Hamat, M., & Mohamed, S. A. (2024). Reliability analysis: Application of cronbach’s alpha in research instruments. Pioneering the Future: Delving Into E-Learning’s Landscape, 114–119.
2. Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures. Spine, 25(24), 3186.
https://doi.org/10.1097/00007632-200012150-00014
3. Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective. Pearson.
4. Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer. Frontiers in Public Health, 6. https://doi.org/10.3389/fpubh.2018.00149
5. Charmaz, K. (1991). Good Days, Bad Days: The Self in Chronic Illness and Time. Rutgers University Press.
6. Charmaz, K. (1995). The Body, Identity, and Self: Adapting To Impairment. The Sociological Quarterly, 36(4), 657–680. https://doi.org/10.1111/j.1533-8525.1995.tb00459.x
7. Commissariat, P. V., Laffel, L. M., & Gonzalez, J. S. (2020). Identity and treatment adherence in predominantly ethnic minority teens and young adults with type 1 diabetes. Pediatric Diabetes, 21(1), 53–60.
https://doi.org/10.1111/pedi.12932
8. DiStefano, C., McDaniel, H. L., Zhang, L., Shi, D., & Jiang, Z. (2019). Fitting Large Factor Analysis Models With Ordinal Data. Educational and Psychological Measurement, 79(3), 417–436.
https://doi.org/10.1177/0013164418818242
9. Goodman, L. A. (1961). Snowball sampling. The Annals of Mathematical Statistics, 148–170.
https://doi.org/10.1214/aoms/1177705148
10. Goretzko, D., Siemund, K., & Sterner, P. (2024). Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis. Educational and Psychological Measurement, 84(1), 123–144.
https://doi.org/10.1177/00131644231163813
11. Gregoire, J. (2018). ITC guidelines for translating and adapting tests. International Journal of Testing, 18(2), 101–134. https://doi.org/10.1080/15305058.2017.1398166
12. Gürhan, N., Beşer, N. G., Polat, Ü., & Koç, M. (2019). Suicide risk and depression in individuals with chronic illness. Community Mental Health Journal, 55(5), 840–848. https://doi.org/10.1007/s10597-019-00388-7
13. Hajdarevic, S., Norberg, A., Lundman, B., & Hörnsten, Å. (2025). Becoming whole again—Caring for the self in chronic illness—A narrative review of qualitative empirical studies. Journal of Clinical Nursing, 34(3), 754–771. https://doi.org/10.1111/jocn.17332
14. Ingersgaard, M. V., Grabowski, D., & Olesen, K. (2022). Cultural adaption and psychometric validation of the Danish Illness Identity Questionnaire (IIQ-DK) in adolescents and emerging adults with type 1 diabetes. Heliyon, 8(3). https://doi.org/10.1016/j.heliyon.2022.e09109
15. Istituto Superiore di Sanità. (2019). Chronic diseases and aging. https://www.iss.it/web/iss-en/chronic-diseases-and-aging1
16. Lebel, S., Mutsaers, B., Tomei, C., Leclair, C. S., Jones, G., Petricone-Westwood, D., Rutkowski, N., Ta, V., Trudel, G., & Laflamme, S. Z. (2020). Health anxiety and illness-related fears across diverse chronic illnesses: A systematic review on conceptualization, measurement, prevalence, course, and correlates. Plos One, 15(7), e0234124. https://doi.org/10.1371/journal.pone.0234124
17. Li, C. H. (2016). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior research methods, 48(3), 936-949.
https://doi.org/10.3758/s13428-015-0619-7
18. Luyckx, K., Oris, L., Raymaekers, K., Rassart, J., Moons, P., Verdyck, L., Mijnster, T., & Mark, R. E. (2018). Illness identity in young adults with refractory epilepsy. Epilepsy & Behavior, 80, 48–55.
https://doi.org/10.1016/j.yebeh.2017.12.036
19. Marsh, H. W., Hau, K.-T., & Wen, Z. (2004). In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler’s (1999) Findings. Structural Equation Modeling: A Multidisciplinary Journal, 11(3), 320–341.
https://doi.org/10.1207/s15328007sem1103_2
20. Meyer, S., & Lamash, L. (2021). Illness Identity in Adolescents With Celiac Disease. Journal of Pediatric Gastroenterology and Nutrition, 72(2). https://doi.org/10.1097/MPG.0000000000002946
21. Nunnally, J., & Bernstein, I. (1994). Psychometric Theory 3rd edition (MacGraw-Hill, New York).
22. Oris, L., Luyckx, K., Rassart, J., Goubert, L., Goossens, E., Apers, S., Arat, S., Vandenberghe, J., Westhovens, R., & Moons, P. (2018). Illness identity in adults with a chronic illness. Journal of Clinical Psychology in Medical Settings, 25, 429–440. https://doi.org/10.1007/s10880-018-9552-0
23. Oris, L., Rassart, J., Prikken, S., Verschueren, M., Goubert, L., Moons, P., Berg, C. A., Weets, I., & Luyckx, K. (2016). Illness Identity in Adolescents and Emerging Adults With Type 1 Diabetes: Introducing the Illness Identity Questionnaire. Diabetes Care, 39(5), 757–763. https://doi.org/10.2337/dc15-2559
24. Paterson, B. L. (2001). The Shifting Perspectives Model of Chronic Illness. Journal of Nursing Scholarship, 33(1), 21–26. https://doi.org/10.1111/j.1547-5069.2001.00021.x
25. Patten, A. C. S., Gargurevich, R., & & Rodríguez, Y. de la C. H. (2024). Cuestionario de Identidad de Enfermedad en adultos ecuatorianos: Análisis de las propiedades psicométricas. Interdisciplinaria, 41(2), NA-NA.
26. Peters, L. A., & Brown, E. M. (2022). The relationship between illness identity and the self-management of Inflammatory Bowel Disease. British Journal of Health Psychology, 27(3), 956–970.
https://doi.org/10.1111/bjhp.12584
27. Rassart, J., Oris, L., Prikken, S., Goethals, E. R., Raymaekers, K., Weets, I., Moons, P., & Luyckx, K. (2021). Illness identity and adjusting to type I diabetes: A four-wave longitudinal study. Health Psychology, 40(5), 326–336. https://doi.org/10.1037/hea0001063
28. Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74. https://doi.org/10.23668/psycharchives.12784
29. Sematlane, N. P., Knight, L., Masquillier, C., & Wouters, E. (2022). A cross-cultural adaptation and validation of a scale to assess illness identity in adults living with a chronic illness in South Africa: A case of HIV. AIDS Research and Therapy, 19(1), 39. https://doi.org/10.1186/s12981-022-00464-1
30. Shi, D., Maydeu-Olivares, A., & Rosseel, Y. (2020). Assessing Fit in Ordinal Factor Analysis Models: SRMR vs. RMSEA. Structural Equation Modeling: A Multidisciplinary Journal, 27(1), 1–15.
https://doi.org/10.1080/10705511.2019.1611434
31. Shneider, C. E., Robbertz, A. S., & Cohen, L. L. (2024). A Systematic Review of Relationships Between Illness Identity and Health-Related Outcomes in Individuals with Chronic Illnesses. Journal of Clinical Psychology in Medical Settings, 31(1), 130–142. https://doi.org/10.1007/s10880-023-09973-1
32. Sprangers, M. A., & Schwartz, C. E. (1999). Integrating response shift into health-related quality of life research: a theoretical model. Social science & medicine, 48(11), 1507-1515. 10.1016/S0277-9536(99)00045-3
33. Telford, K., Kralik, D., & Koch, T. (2006). Acceptance and denial: Implications for people adapting to chronic illness: literature review. Journal of Advanced Nursing, 55(4), 457–464.
https://doi.org/10.1111/j.1365-2648.2006.03942.x
34. Terwee, C. B., Prinsen, C. A. C., Chiarotto, A., Westerman, M. J., Patrick, D. L., Alonso, J., Bouter, L. M., de Vet, H. C. W., & Mokkink, L. B. (2018). COSMIN methodology for evaluating the content validity of patient-reported outcome measures: A Delphi study. Quality of Life Research, 27(5), 1159–1170.
https://doi.org/10.1007/s11136-018-1829-0
35. Van Bulck, L., Goossens, E., Apers, S., Moons, P., & Luyckx, K. (2021). Illness identity in adults with congenital heart disease: Longitudinal trajectories and associations with patient‐reported outcomes and healthcare use. Journal of Advanced Nursing, 77(12), 4743–4754. https://doi.org/10.1111/jan.14949
36. Van Bulck, L., Goossens, E., Luyckx, K., Oris, L., Apers, S., & Moons, P. (2018). Illness Identity: A Novel Predictor for Healthcare Use in Adults With Congenital Heart Disease. Journal of the American Heart Association, 7(11), e008723. https://doi.org/10.1161/JAHA.118.008723
37. Van Bulck, L., Luyckx, K., Goossens, E., Oris, L., & Moons, P. (2019). Illness identity: Capturing the influence of illness on the person’s sense of self. European Journal of Cardiovascular Nursing, 18(1), 4–6.
https://doi.org/10.1177/1474515118811960
38. World Health Organization. (2022). Invisible numbers: The true extent of noncommunicable diseases and what to do about them. https://www.who.int/publications/i/item/9789240057661
39. World Health Organization. (2023). WHO framework for meaningful engagement of people living with noncommunicable diseases, and mental health and neurological conditions. https://www.who.int/publications/i/item/9789240073074
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