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The Relationship Between e-Health Literacy and Health Beliefs Regarding Cardiovascular Disease in Elderly Individuals with Type 2 Diabetes

Year 2025, Volume: 7 Issue: 1, 50 - 62, 29.04.2025
https://doi.org/10.54061/jphn.1626389

Abstract

Objective: Given that elderly people with diabetes are at high risk for cardiovascular complications, it is essential to understand the relationship between eHealth literacy and health beliefs regarding cardiovascular diseases. This study was conducted to examine the relationship between e-health literacy and health beliefs regarding cardiovascular disease in elderly individuals with type 2 diabetes.
Methods: This study is a descriptive and cross-sectional study. The study was conducted between February 2024 and June 2024 with 326 individuals with type 2 diabetes. The study data collected descriptive characteristics form, e-Health Literacy Scale (e-HLS) and Health Beliefs Related to Cardiovascular Disease Scale (HBCVDS).
Results: The mean age of the elderly individuals with type 2 diabetes included in the study was 70.21±6.18 years and 53.10% were female. The mean score on the e-HLS and HBCVDS were moderate. The factors affecting e-HLS were smoking, smartphone use, Accessing health resources from the internet, average daily internet usage time (91 minutes or more), positive effect of the internet on health.
Conclusions: In this study, both the e-health literacy and the health beliefs related to heart disease of elderly individuals with diabetes were found to be at a moderate level. As the electronic health literacy of individuals with diabetes increases, their health beliefs about heart disease also improve. Therefore, educational programs aimed at enhancing electronic health literacy and the promoting use of digital tools offer an important opportunity to improve these individuals' health beliefs and behaviors related to cardiovascular diseases.

Ethical Statement

This study was approved by the Dr. Sadi Konuk Training and Research Hospital Clinical Research Ethics Committee (Date: 05.11.2020, Decision no: 09/29).

Thanks

The authors thank all the individuals with elderly type 2 diabetes who contributed to this study.

References

  • Ağralı, H., & Akyar, İ. (2022). The effect of health literacy-based, health belief-constructed education on glycated hemoglobin (HbA1c) in people with type 2 diabetes: A randomized controlled study. Primary care diabetes, 16(1), 173–178. https://doi.org/10.1016/j.pcd.2021.12.010
  • Al-Kaabi, J. M., Al Maskari, F., Cragg, P., Afandi, B., & Souid, A. K. (2015). Illiteracy and diabetic foot complications. Primary care diabetes, 9(6), 465–472. https://doi.org/10.1016/j.pcd.2015.04.008
  • Altaş, Z., Hıdıroğlu, S., Solmaz, C. et al. (2022). The association between electronic health literacy and self-care management in adults with Type-2 Diabetes. Progress in Health Sciences, 12(2), 14-19. https://doi.org/10.5604/01.3001.0016.1734
  • Benjamin, E. J., Muntner, P., Alonso, A., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Das, S. R., Delling, F. N., Djousse, L., Elkind, M. S. V., Ferguson, J. F., Fornage, M., Jordan, L. C., Khan, S. S., Kissela, B. M., Knutson, K. L., Kwan, T. W., … American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee (2019). Heart disease and stroke statistics-2019 update: A report from the American Heart Association. Circulation, 139(10), e56–e528. https://doi.org/10.1161/CIR.0000000000000659
  • Berkman, N. D., Davis, T. C., & McCormack, L. (2010). Health literacy: what is it?. Journal of health communication, 15 Suppl 2, 9–19. https://doi.org/10.1080/10810730.2010.499985
  • Coll, P. P., Roche, V., Olsen, J. S., Voit, J. H., Bowen, E., & Kumar, M. (2020). The Prevention of Cardiovascular Disease in Older Adults. Journal of the American Geriatrics Society, 68(5), 1098–1106. https://doi.org/10.1111/jgs.16353
  • Cutilli, C. C., & Bennett, I. M. (2009). Understanding the health literacy of America: Results of the national assessment of adult literacy. Orthopedic Nursing, 28(1), 27–34. https://doi.org/10.1097/01.NOR.0000345852.22122.d6
  • Dehghani-Tafti, A., Mazloomy Mahmoodabad, S. S., Morowatisharifabad, M. A., Afkhami Ardakani, M., Rezaeipandari, H., & Lotfi, M. H. (2015). Determinants of self-care in diabetic patients based on health belief model. Global Journal of Health Science, 7(5), 33–42. https://doi.org/10.5539/gjhs.v7n5p33
  • De Melo, M., de Sa, E., & Gucciardi, E. (2013). Exploring differences in Canadian adult men and women with diabetes management: results from the Canadian community health survey. BMC Public Health, 13, 1089. https://doi.org/10.1186/1471-2458-13-1089
  • Ernsting, C., Stühmann, L. M., Dombrowski, S. U., Voigt-Antons, J. N., Kuhlmey, A., & Gellert, P. (2019). Associations of health app use and perceived effectiveness in people with cardiovascular diseases and diabetes: Population-based survey. JMIR mHealth and uHealth, 7(3), e12179. https://doi.org/10.2196/12179
  • Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/bf03193146
  • Friis, K., Lasgaard, M., Osborne, R. H., & Maindal, H. T. (2016). Gaps in understanding health and engagement with healthcare providers across common long-term conditions: A population survey of health literacy in 29,473 Danish citizens. BMJ Open, 6(1), e009627. https://doi.org/10.1136/bmjopen-2015-009627
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  • Galicia-Garcia, U., Benito-Vicente, A., Jebari, S., Larrea-Sebal, A., Siddiqi, H., Uribe, K. B., Ostolaza, H., & Martín, C. (2020). Pathophysiology of Type 2 Diabetes Mellitus. International Journal of Molecular Sciences, 21(17), 6275. https://doi.org/10.3390/ijms21176275
  • George, D., Mallery, P. (2019). IBM SPSS Statistics 26 step by step: A simple guide and reference. https://doi.org/10.4324/9780429056765
  • Guo, S. H., Hsing, H. C., Lin, J. L., & Lee, C. C. (2021). Relationships between mobile ehealth literacy, diabetes self-care, and glycemic outcomes in taiwanese patients with type 2 diabetes: Cross-sectional study. JMIR mHealth and uHealth, 9(2), e18404. https://doi.org/10.2196/18404
  • Harvey, J. N., & Lawson, V. L. (2009). The importance of health belief models in determining self-care behaviour in diabetes. Diabetic Medicine, 26(1), 5–13. https://doi.org/10.1111/j.1464-5491.2008.02628.x
  • Jalilian, F., Motlagh, F. Z., Solhi, M., & Gharibnavaz, H. (2014). Effectiveness of self-management promotion educational program among diabetic patients based on health belief model. Journal of education and health promotion, 3, 14. https://doi.org/10.4103/2277-9531.127580
  • Joseph, J. J., Deedwania, P., Acharya, T., Aguilar, D., Bhatt, D. L., Chyun, D. A., Di Palo, K. E., Golden, S. H., Sperling, L. S., & American Heart Association Diabetes Committee of the Council on Lifestyle and Cardiometabolic Health; Council on Arteriosclerosis, Thrombosis and Vascular Biology; Council on Clinical Cardiology; and Council on Hypertension (2022). Comprehensive management of cardiovascular risk factors for adults with type 2 diabetes: A scientific statement from the American heart association. Circulation, 145(9), e722–e759. https://doi.org/10.1161/CIR.0000000000001040
  • Karahan Okuroglu, G., & Ercan Toptaner, N. (2018). Adaptation of the Cardiovascular Disease-Related Health Beliefs Scale to Turkish in Turkish patients with type 2 diabetes; validity and reliability. Hemşirelikte Araştırma Geliştirme Dergisi, 20(2/3), 1-12. https://doi.org/10.69487/hemarge.696127 (in Turkish)
  • Karimy, M., Montazeri, A., Araban, M. (2012). The effect of an educational program based on health belief model on the empowerment of rural women in prevention of brucellosis. Arak Medical University Journal, 14,85–94.
  • Kasparian, N. A., Lieu, N., Winlaw, D. S., Cole, A., Kirk, E., & Sholler, G. F. (2017). eHealth literacy and preferences for eHealth resources in parents of children with complex CHD. Cardiology in the Young, 27(4), 722–730. https://doi.org/10.1017/S1047951116001177
  • Kim, K., Shin, S., Kim, S., & Lee, E. (2023). The Relation between ehealth literacy and health-related behaviors: Systematic review and meta-analysis. Journal of Medical Internet Research, 25, e40778. https://doi.org/10.2196/40778
  • Kim, K. A., Kim, Y. J., & Choi, M. (2018). Association of electronic health literacy with health-promoting behaviors in patients with type 2 diabetes: A cross-sectional study. Computers Informatics Nursing, 36(9), 438–447. https://doi.org/10.1097/CIN.0000000000000438
  • Lee, M., & Shim, J. (2025). Effects of diabetes knowledge and attitudes toward internet health information on e-health literacy in middle-aged patients with diabetes. Healthcare ,13 (5), 512.
  • Lei, G.Q. (2017). A comparative study of health action research and classical behavior change theories. Chinese Journal of Health Education, 33,764–767.
  • Nagori, A., Keshvani, N., Patel, L., Dhruve, R., & Sumarsono, A. (2024). Electronic health literacy gaps among adults with diabetes in the United States: Role of socioeconomic and demographic factors. Preventive Medicine Reports, 47, 102895. https://doi.org/10.1016/j.pmedr.2024.102895
  • Norman, C. D., & Skinner, H. A. (2006). eHealth literacy: Essential skills for consumer health in a networked world. Journal of Medical Internet Research, 8(2), e9. https://doi.org/10.2196/jmir.8.2.e9
  • Norman, C. D., & Skinner, H. A. (2006). eHEALS: The eHealth Literacy Scale. Journal of Medical Internet Research, 8(4), e27. https://doi.org/10.2196/jmir.8.4.e27
  • Poureslami, I., Nimmon, L., Rootman, I., & Fitzgerald, M. J. (2017). Health literacy and chronic disease management: Drawing from expert knowledge to set an agenda. Health Promotion International, 32(4), 743–754. https://doi.org/10.1093/heapro/daw003
  • Sarkar, U., Fisher, L., & Schillinger, D. (2006). Is self-efficacy associated with diabetes self-management across race/ethnicity and health literacy? Diabetes Care, 29(4), 823–829. https://doi.org/10.2337/diacare.29.04.06.dc05-1615
  • Shukhratovna,, N.G., Erkinovna, S.D., Suxrobovna,, X.M., Ikromovna, A.Z. (2022) Diabetes mellitus, ischemic heart disease and arterial hypertension. Pedagog, 5(5), 381-386.
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  • Tovar, E. G., Rayens, M. K., Clark, M., & Nguyen, H. (2010). Development and psychometric testing of the Health Beliefs Related to Cardiovascular Disease Scale: preliminary findings. Journal of Advanced Nursing, 66(12), 2772–2784. https://doi.org/10.1111/j.1365-2648.2010.05443.x
  • Uskun, E., Doğan, E., Önal, Ö., Kişioğlu, A.N. (2022). e-Health literacy scale: Turkish validity and reliability study for adults over 45. Türk Hijyen ve Deneysel Biyoloji Dergisi, 79(4), 674 – 689. https://doi.org/10.5505/TurkHijyen.2022.75608 (in Turkish)
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Tip 2 Diyabetli Yaşlılarda Kardiyovasküler Hastalığa İlişkin Sağlık İnançları ile e-Sağlık Okuryazarlığı Arasındaki İlişki

Year 2025, Volume: 7 Issue: 1, 50 - 62, 29.04.2025
https://doi.org/10.54061/jphn.1626389

Abstract

Amaç: Diyabetli yaşlı bireyler kardiyovasküler komplikasyonlar için yüksek risk altındadır, bu nedenle e-sağlık okuryazarlığı ile kardiyovasküler hastalıkla ilgili sağlık inançları arasındaki ilişkiyi anlamak önemlidir. Bu çalışma, yaşlı tip 2 diyabetli bireylerde e-sağlık okuryazarlığı ile kardiyovasküler hastalığa ilişkin sağlık inançları arasındaki ilişkinin incelenmesi amacıyla yapılmıştır.
Yöntem: Çalışma tanımlayıcı ve kesitsel türdedir. Çalışma, Şubat – Haziran 2024 tarihleri arasında 326 tip 2 diyabetli bireyle gerçekleştirilmiştir. Çalışma verileri, tanımlayıcı özellikler formu, e-Sağlık Okuryazarlığı Ölçeği (e-HLS) ve Kardiyovasküler Hastalıklarla İlgili Sağlık İnançları Ölçeği (HBCVDS) ile toplanmıştır.
Bulgular: Çalışmaya dahil edilen tip 2 diyabetli yaşlıların ortalama yaşı 70.21±6.18 yıl olup, %53.10’u kadındır. E-HLS ve HBCVDS ortalama puanları orta seviyedeydi. E-HLS’yi etkileyen faktörler sigara içme, akıllı telefon kullanımı, internet üzerinden sağlık kaynaklarına erişim, günlük ortalama internet kullanım süresi (91 dakika ve üzeri) ve internetin sağlık üzerindeki olumlu etkisi yer almaktadır.
Sonuç: Bu çalışmada, diyabetli yaşlı bireylerin e-sağlık okuryazarlığı ve kardiyovasküler hastalığa ilişkin sağlık inançları orta seviyededir. Diyabetli bireylerin e-sağlık okuryazarlığı arttıkça, kardiyovasküler hastalıklarla ilgili sağlık inançları da artmaktadır. Bu nedenle, e-sağlık okuryazarlığını artırmaya yönelik eğitim programları ve dijital araçların kullanımının teşvik edilmesi, bu bireylerin kardiyovasküler hastalıklarla ilgili sağlık inançlarını ve davranışlarını iyileştirmek için önemli bir fırsat sunmaktadır.

References

  • Ağralı, H., & Akyar, İ. (2022). The effect of health literacy-based, health belief-constructed education on glycated hemoglobin (HbA1c) in people with type 2 diabetes: A randomized controlled study. Primary care diabetes, 16(1), 173–178. https://doi.org/10.1016/j.pcd.2021.12.010
  • Al-Kaabi, J. M., Al Maskari, F., Cragg, P., Afandi, B., & Souid, A. K. (2015). Illiteracy and diabetic foot complications. Primary care diabetes, 9(6), 465–472. https://doi.org/10.1016/j.pcd.2015.04.008
  • Altaş, Z., Hıdıroğlu, S., Solmaz, C. et al. (2022). The association between electronic health literacy and self-care management in adults with Type-2 Diabetes. Progress in Health Sciences, 12(2), 14-19. https://doi.org/10.5604/01.3001.0016.1734
  • Benjamin, E. J., Muntner, P., Alonso, A., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Das, S. R., Delling, F. N., Djousse, L., Elkind, M. S. V., Ferguson, J. F., Fornage, M., Jordan, L. C., Khan, S. S., Kissela, B. M., Knutson, K. L., Kwan, T. W., … American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee (2019). Heart disease and stroke statistics-2019 update: A report from the American Heart Association. Circulation, 139(10), e56–e528. https://doi.org/10.1161/CIR.0000000000000659
  • Berkman, N. D., Davis, T. C., & McCormack, L. (2010). Health literacy: what is it?. Journal of health communication, 15 Suppl 2, 9–19. https://doi.org/10.1080/10810730.2010.499985
  • Coll, P. P., Roche, V., Olsen, J. S., Voit, J. H., Bowen, E., & Kumar, M. (2020). The Prevention of Cardiovascular Disease in Older Adults. Journal of the American Geriatrics Society, 68(5), 1098–1106. https://doi.org/10.1111/jgs.16353
  • Cutilli, C. C., & Bennett, I. M. (2009). Understanding the health literacy of America: Results of the national assessment of adult literacy. Orthopedic Nursing, 28(1), 27–34. https://doi.org/10.1097/01.NOR.0000345852.22122.d6
  • Dehghani-Tafti, A., Mazloomy Mahmoodabad, S. S., Morowatisharifabad, M. A., Afkhami Ardakani, M., Rezaeipandari, H., & Lotfi, M. H. (2015). Determinants of self-care in diabetic patients based on health belief model. Global Journal of Health Science, 7(5), 33–42. https://doi.org/10.5539/gjhs.v7n5p33
  • De Melo, M., de Sa, E., & Gucciardi, E. (2013). Exploring differences in Canadian adult men and women with diabetes management: results from the Canadian community health survey. BMC Public Health, 13, 1089. https://doi.org/10.1186/1471-2458-13-1089
  • Ernsting, C., Stühmann, L. M., Dombrowski, S. U., Voigt-Antons, J. N., Kuhlmey, A., & Gellert, P. (2019). Associations of health app use and perceived effectiveness in people with cardiovascular diseases and diabetes: Population-based survey. JMIR mHealth and uHealth, 7(3), e12179. https://doi.org/10.2196/12179
  • Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/bf03193146
  • Friis, K., Lasgaard, M., Osborne, R. H., & Maindal, H. T. (2016). Gaps in understanding health and engagement with healthcare providers across common long-term conditions: A population survey of health literacy in 29,473 Danish citizens. BMJ Open, 6(1), e009627. https://doi.org/10.1136/bmjopen-2015-009627
  • Guo, S. H., Lin, J. L., Hsing, H. C., Lee, C. C., & Chuang, S. M. (2023). The effect of mobile ehealth education to improve knowledge, skills, self-care, and mobile ehealth literacies among patients with diabetes: Development and evaluation study. Journal of Medical Internet Research, 25, e42497. https://doi.org/10.2196/42497
  • Galicia-Garcia, U., Benito-Vicente, A., Jebari, S., Larrea-Sebal, A., Siddiqi, H., Uribe, K. B., Ostolaza, H., & Martín, C. (2020). Pathophysiology of Type 2 Diabetes Mellitus. International Journal of Molecular Sciences, 21(17), 6275. https://doi.org/10.3390/ijms21176275
  • George, D., Mallery, P. (2019). IBM SPSS Statistics 26 step by step: A simple guide and reference. https://doi.org/10.4324/9780429056765
  • Guo, S. H., Hsing, H. C., Lin, J. L., & Lee, C. C. (2021). Relationships between mobile ehealth literacy, diabetes self-care, and glycemic outcomes in taiwanese patients with type 2 diabetes: Cross-sectional study. JMIR mHealth and uHealth, 9(2), e18404. https://doi.org/10.2196/18404
  • Harvey, J. N., & Lawson, V. L. (2009). The importance of health belief models in determining self-care behaviour in diabetes. Diabetic Medicine, 26(1), 5–13. https://doi.org/10.1111/j.1464-5491.2008.02628.x
  • Jalilian, F., Motlagh, F. Z., Solhi, M., & Gharibnavaz, H. (2014). Effectiveness of self-management promotion educational program among diabetic patients based on health belief model. Journal of education and health promotion, 3, 14. https://doi.org/10.4103/2277-9531.127580
  • Joseph, J. J., Deedwania, P., Acharya, T., Aguilar, D., Bhatt, D. L., Chyun, D. A., Di Palo, K. E., Golden, S. H., Sperling, L. S., & American Heart Association Diabetes Committee of the Council on Lifestyle and Cardiometabolic Health; Council on Arteriosclerosis, Thrombosis and Vascular Biology; Council on Clinical Cardiology; and Council on Hypertension (2022). Comprehensive management of cardiovascular risk factors for adults with type 2 diabetes: A scientific statement from the American heart association. Circulation, 145(9), e722–e759. https://doi.org/10.1161/CIR.0000000000001040
  • Karahan Okuroglu, G., & Ercan Toptaner, N. (2018). Adaptation of the Cardiovascular Disease-Related Health Beliefs Scale to Turkish in Turkish patients with type 2 diabetes; validity and reliability. Hemşirelikte Araştırma Geliştirme Dergisi, 20(2/3), 1-12. https://doi.org/10.69487/hemarge.696127 (in Turkish)
  • Karimy, M., Montazeri, A., Araban, M. (2012). The effect of an educational program based on health belief model on the empowerment of rural women in prevention of brucellosis. Arak Medical University Journal, 14,85–94.
  • Kasparian, N. A., Lieu, N., Winlaw, D. S., Cole, A., Kirk, E., & Sholler, G. F. (2017). eHealth literacy and preferences for eHealth resources in parents of children with complex CHD. Cardiology in the Young, 27(4), 722–730. https://doi.org/10.1017/S1047951116001177
  • Kim, K., Shin, S., Kim, S., & Lee, E. (2023). The Relation between ehealth literacy and health-related behaviors: Systematic review and meta-analysis. Journal of Medical Internet Research, 25, e40778. https://doi.org/10.2196/40778
  • Kim, K. A., Kim, Y. J., & Choi, M. (2018). Association of electronic health literacy with health-promoting behaviors in patients with type 2 diabetes: A cross-sectional study. Computers Informatics Nursing, 36(9), 438–447. https://doi.org/10.1097/CIN.0000000000000438
  • Lee, M., & Shim, J. (2025). Effects of diabetes knowledge and attitudes toward internet health information on e-health literacy in middle-aged patients with diabetes. Healthcare ,13 (5), 512.
  • Lei, G.Q. (2017). A comparative study of health action research and classical behavior change theories. Chinese Journal of Health Education, 33,764–767.
  • Nagori, A., Keshvani, N., Patel, L., Dhruve, R., & Sumarsono, A. (2024). Electronic health literacy gaps among adults with diabetes in the United States: Role of socioeconomic and demographic factors. Preventive Medicine Reports, 47, 102895. https://doi.org/10.1016/j.pmedr.2024.102895
  • Norman, C. D., & Skinner, H. A. (2006). eHealth literacy: Essential skills for consumer health in a networked world. Journal of Medical Internet Research, 8(2), e9. https://doi.org/10.2196/jmir.8.2.e9
  • Norman, C. D., & Skinner, H. A. (2006). eHEALS: The eHealth Literacy Scale. Journal of Medical Internet Research, 8(4), e27. https://doi.org/10.2196/jmir.8.4.e27
  • Poureslami, I., Nimmon, L., Rootman, I., & Fitzgerald, M. J. (2017). Health literacy and chronic disease management: Drawing from expert knowledge to set an agenda. Health Promotion International, 32(4), 743–754. https://doi.org/10.1093/heapro/daw003
  • Sarkar, U., Fisher, L., & Schillinger, D. (2006). Is self-efficacy associated with diabetes self-management across race/ethnicity and health literacy? Diabetes Care, 29(4), 823–829. https://doi.org/10.2337/diacare.29.04.06.dc05-1615
  • Shukhratovna,, N.G., Erkinovna, S.D., Suxrobovna,, X.M., Ikromovna, A.Z. (2022) Diabetes mellitus, ischemic heart disease and arterial hypertension. Pedagog, 5(5), 381-386.
  • Simons-Morton, B.G., McLeroy, K.R., Wendel, M.L. (2012). Behavior theory in health promotion practice and research Sudbury, Mass.: Jones & Bartlett Learning
  • Sun, H., Saeedi, P., Karuranga, S., Pinkepank, M., Ogurtsova, K., Duncan, B. B., Stein, C., Basit, A., Chan, J. C. N., Mbanya, J. C., Pavkov, M. E., Ramachandaran, A., Wild, S. H., James, S., Herman, W. H., Zhang, P., Bommer, C., Kuo, S., Boyko, E. J., & Magliano, D. J. (2022). IDF Diabetes atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Research and Clinical Practice, 183, 109119. https://doi.org/10.1016/j.diabres.2021.109119
  • Tovar, E. G., Rayens, M. K., Clark, M., & Nguyen, H. (2010). Development and psychometric testing of the Health Beliefs Related to Cardiovascular Disease Scale: preliminary findings. Journal of Advanced Nursing, 66(12), 2772–2784. https://doi.org/10.1111/j.1365-2648.2010.05443.x
  • Uskun, E., Doğan, E., Önal, Ö., Kişioğlu, A.N. (2022). e-Health literacy scale: Turkish validity and reliability study for adults over 45. Türk Hijyen ve Deneysel Biyoloji Dergisi, 79(4), 674 – 689. https://doi.org/10.5505/TurkHijyen.2022.75608 (in Turkish)
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There are 41 citations in total.

Details

Primary Language English
Subjects Public Health Nursing
Journal Section Research Articles
Authors

İrem Nur Ozdemir 0000-0002-1122-0514

Eda Kılınç İşleyen 0000-0003-1857-4953

Selin Demirtaş 0009-0008-1736-0025

Early Pub Date April 24, 2025
Publication Date April 29, 2025
Submission Date January 24, 2025
Acceptance Date March 21, 2025
Published in Issue Year 2025 Volume: 7 Issue: 1

Cite

APA Ozdemir, İ. N., Kılınç İşleyen, E., & Demirtaş, S. (2025). The Relationship Between e-Health Literacy and Health Beliefs Regarding Cardiovascular Disease in Elderly Individuals with Type 2 Diabetes. Halk Sağlığı Hemşireliği Dergisi, 7(1), 50-62. https://doi.org/10.54061/jphn.1626389