Submitted:
15 March 2023
Posted:
16 March 2023
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Ethical considerations
2.2. Data Collection
2.3. Measures
2.3.1. Descriptive Information Form
2.3.2. Preventive Health Practices
2.3.3. The eHealth Literacy Scale (eHEALS)
2.3.4. The Adolescent Health Promotion Scale (AHPS)
2.4. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Institutional Review Board Statement
References
- Paakkari, L., Torppa. Health asset profiles and health indicators among 13- and 15-year-old adolescents. Int. J. Public Health. 2019, 64, 1301–1311. [Google Scholar] [CrossRef]
- Marques, A., Loureiro. Adolescents' healthy lifestyle. J. Pediatr. (Rio J). 2020, 96, 217–224. [Google Scholar] [CrossRef]
- Marconcin, P., Matos. Trends of healthy lifestyles among adolescents: An analysis of more than half a million participants from 32 countries between 2006 and 2014. Front. Pediat. 2021, 9, 645074. [Google Scholar] [CrossRef]
- World Health Organization. https://www.who.int/health-topics/adolescent-health#tab=tab_2.
- World Health Organization. Maternal, Newborn, Child And Adolescent Health And Ageing. https://platform.who.int/data/maternal-newborn-child-adolescent-ageing/adolescent-data/adolescent---risk-factors.
- World Health Organization. Working for a brighter, healthier future: How WHO improves health and promotes well-being for the world’s adolescents. Geneva: World Health Organization; 2021. Licence: CC BY-NC-SA 3.0 IGO. https://www.who.int/publications/i/item/9789240037793.
- World Health Organization and the United Nations Children’s Fund (UNICEF). Investing in our future: A comprehensive agenda for the health and well-being of children and adolescents. Geneva: World Health Organization and the United Nations Children’s Fund (UNICEF), 2021. Licence: CC BY-NC-SA 3.0 IGO. https://www.who.int/publications/i/item/9789240037793.
- Ackermann, B. J. (2019). Health literacy and health promotion challenges in performing arts medicine. Med. Probl. Perform. Art. 2019, 34, 61–62. [Google Scholar] [CrossRef] [PubMed]
- McIntosh, C. , Elvin, A., Smyth, W., Birks, M., & Nagle, C. Health promotion, health literacy and vaccine hesitancy: The role of humanoid robots. Inquiry. 2022, 59, 469580221078515. [Google Scholar] [CrossRef] [PubMed]
- Norman, C. D. , Skinner, H.A. eHealth Literacy: Essential skills for consumer health in a networked world. J. Med. Internet. Res. 2006, 8, e9. [Google Scholar] [CrossRef] [PubMed]
- Huang, C. L. , Yang, S.C., Chiang, C. H. The associations between ındividual factors, ehealth literacy, and health behaviors among college students. Int. J. Environ. Res. Public Health. 2020, 17, 2108. [Google Scholar] [CrossRef]
- Yang, S. C. , Luo, Y. F., Chiang, C. H. Electronic health literacy and dietary behaviors in Taiwanese college students: Cross-sectional study. J. Med. Internet. Res. 2019, 21, e13140. [Google Scholar] [CrossRef]
- Efthymiou, A. , Middleton, N., Charalambous, A., & Papastavrou, E. The association of health literacy and electronic health literacy with self-efficacy, coping, and caregiving perceptions among carers of people with dementia: Research protocol for a descriptive correlational study. JMIR. Res. Protoc. 2017, 6, e221. [Google Scholar] [CrossRef]
- Tissera, S. , Silva, N. Self-reported ehealth literacy among undergraduate nursing students in selected districts of Sri Lanka. Stud. Health. Technol. Inform. 2017, 245, 1339. [Google Scholar]
- United Nations. Youth Stats: Information and Communication Technology https://www.un.org/youthenvoy/information-communication-technology/.
- Johnson, K. R. , Fuchs, E., Horvath, K. J., & Scal, P. Distressed and looking for help: Internet intervention support for arthritis self-management. J. Adolesc. Health. 2015, 56, 666–671. [Google Scholar] [CrossRef]
- Anikputa, B. C. , Horner, S. D. Internet use behavior among adolescents and young adults with chronic illnesses. J. Pediatr. Nurs. 2021, 60, 260–266. [Google Scholar] [CrossRef]
- Fergie, G. , Hunt, K., Hilton, S. What young people want from health-related online resources: A focus group study. J. Youth. Stud. 2013, 16, 579–596. [Google Scholar] [CrossRef]
- U.S. Department of Health and Human Services (HHS). https://www.hhs.gov/about/index.html.
- Norman, C. D. , Skinner, H. A. eHEALS: The eHealth literacy scale. J. Med. Internet. Res. 2006, 8, e27. [Google Scholar] [CrossRef]
- Coşkun, S., Bebiş. Psychometric evaluation of a Turkish version of the e-health literacy scale in adolescent. Gulhane. Medical. Journal. 2015, 57, 378–384. [Google Scholar] [CrossRef]
- Chen, M. Y., Wang. Adolescent health promotion scale: Development and psychometric testing. Public. Health. Nurs. 2003, 20, 104–110. [Google Scholar] [CrossRef]
- Temel, B. A., Başalan. The reliability and validity of adolescent health promotion scale in Turkish community. J. Curr. Pediatr. 2011, 9, 14–22. [Google Scholar]
- Kim, K. A., Kim. Association of electronic health literacy with health-promoting behaviors in patients with type 2 diabetes. Comput. Inform. Nurs. 2018, 36, 438–447. [Google Scholar] [CrossRef] [PubMed]
- Stellefson, M., Paige. Association Between Health Literacy, Electronic Health Literacy, Disease-Specific Knowledge, and Health-Related Quality of Life Among Adults With Chronic Obstructive Pulmonary Disease: Cross-Sectional Study. J. Med. Internet. Res 1216, 21. [Google Scholar] [CrossRef]
- Li, S., Cui. Associations between health literacy, ehealth literacy, and covıd-19-related health behaviors among Chinese college students: Cross-sectional online study. J. Med. Internet. Res. 2021, 23, e25600. [Google Scholar] [CrossRef] [PubMed]
- Park, B. K. Factors ınfluencing ehealth literacy of middle school students in Korea: A descriptive cross-sectional study. Healthc. Inform. Res. 2019, 25, 221–229. [Google Scholar] [CrossRef]
- Camiling, M. K. S. eHealth literacy of high school students in the Philippines. IAFOR. J. Education. 2019, 7, 69–87. [Google Scholar] [CrossRef]
- Tümer, A. , Sümen, A. E-health literacy levels of high school students in Turkey: Results of a cross-sectional study. Health. Promot. Int. 2022, 37, daab174. [Google Scholar] [CrossRef]
- Coşgun, M. , Hisar, K. M. Investigation of the relationship between health promotion behavior and self-efficacy of Turkish adolescents. Genel. Tıp. Dergisi. 2022, 32, 397–404. [Google Scholar] [CrossRef]
- Adewole, K. O. , Ogunfowokan, A. A., Olodu, M. Influence of health literacy on health promoting behaviour of adolescents with and without obesity. Int. J. Africa Nurs. Sci. 2021, 15, 100342. [Google Scholar] [CrossRef]
- Salari, N. Comparing health promotion behaviors of male and female high school students in Southeast of Iran. Int. J. Adolesc. Med. Health. 2017, 32. [Google Scholar] [CrossRef] [PubMed]
- Ardic, A., Esin. M. N. Factors associated with healthy lifestyle behaviors in a sample of Turkish adolescents: A school-based study. J. Transcult. Nurs. 2016, 27, 583–592. [Google Scholar] [CrossRef] [PubMed]
- Raiyat, A. , Nourani, N., Samiei Siboni., F, Sadeghi, T, Alimoradi, Z. Health improving behaviors in students of Qazvin secondary schools in 2011. J. Health. 2012, 3, 46–53. [Google Scholar]
- Chang, F. C. , Chiu, C. H., Chen, P. H., Miao, N. F., Lee, C. M., Chiang, J. T., & Pan, Y. C. Relationship between parental and adolescent ehealth literacy and online health ınformation seeking in Taiwan. Cyberpsychol. Behav. Soc. Netw. 2015, 18, 618–624. [Google Scholar] [CrossRef] [PubMed]
- Parvizi, S. , & Hamzehgardeshi, Z. Adolescents' view of health concept and its risk factors: A literature review. Int. J. Adolesc. Med. Health, 2014, 26, 351–359. [Google Scholar] [CrossRef] [PubMed]
- Mayze, L. , Pawlak. J., Rogers. M., Smith. M. Oral health of adolescents in the Colac-Otway Shire. Aust. J. Rural. Health. 2019, 27, 93–98. [Google Scholar] [CrossRef]
- Bhat, M. , Bhat, S., Roberts-Thomson, K. F., Do, L. G. Self-rated oral health and associated factors among an adult population in rural India-An epidemiological study. Int. J. Environ. Res. Public. Health. 2021, 18, 6414. [Google Scholar] [CrossRef]
- World Health Organization. Ten threats to global health in 2019. https://www.who.int/news-room/spotlight/ten-threats-to-global-health-in-2019.
- WHO recommendations on child health: Guidelines approved by the WHO Guidelines Review Committee. Geneva: World Health Organization; 2017 (WHO/MCA/17.08). Licence: CC BY-NC-SA 3.0. https://www.who.int/publications/i/item/WHO-MCA-17.08.
- Kemper, A. R. , Letostak, T., & Grossman, D. C. Incorporating longitudinal surveillance into the delivery of pediatric screening services. Pediatrics 2021, 148, s33–s36. [Google Scholar] [CrossRef]
- Sawyer, S. M. Psychosocial assessments after COVID-19. J. Adolesc. Health. 2021, 68, 429–430. [Google Scholar] [CrossRef]
- IGO. Kim, K., Shin, S., Kim, S., Lee, E. The relation between ehealth literacy and health-related behaviors: Systematic review and meta-analysis. J. Med. Internet. Res. 2023, 25, e40778. [Google Scholar] [CrossRef]
- Britt, R. K. , Collins, W. B., Wilson, K., Linnemeier, G., Englebert, A. M. eHealth literacy and health behaviors affecting modern college students: A pilot study of issues identified by the American college health association. J. Med. Internet. Res. 2017, 19, e392. [Google Scholar] [CrossRef] [PubMed]
- Yang, S. C. , Luo, Y. F., Chiang, C. H. The associations among individual factors, ehealth literacy, and health-promoting lifestyles among college students. J. Med. Internet. Res. 2017, 19, e15. [Google Scholar] [CrossRef]
- Gürkan, K. P. , Ayar, D. The impact of e-health literacy on health promotion behaviors of high school students. J. Pediatr. Res. 2020, 7, 286–92. [Google Scholar] [CrossRef]
- Luo, Y. F. , Yang, S. C., Chen, A. S., Chiang, C. H. Associations of eHealth literacy with health services utilization among college students: Cross-sectional study. J. Med. Internet. Res. 2018, 20, e283. [Google Scholar] [CrossRef] [PubMed]
- Wang, X. , Yue, T., & Mo, P. K. The associations among cognitive social factors, eHealth literacy and health-promoting behaviors in Chinese adolescents. Health. Promot. Int. 2022, 37, daac143. [Google Scholar] [CrossRef] [PubMed]
- Moksnes, U. K. , Bjørnsen, H. N., B Eilertsen, M. E., & Espnes, G. A. The role of perceived loneliness and sociodemographic factors in association with subjective mental and physical health and well-being in Norwegian adolescents. Scan. J. Public. Health. 2022, 50, 432–439. [Google Scholar] [CrossRef]
- Kalogerakis, Z. , Lazaratou, H., Petroutsou, A., Touloumi, G., Dikeos, D., Economou, M., & Papageorgiou, C. Prevalence of bullying and its co-occurrence with aggression and mental health problems among Greek adolescents attending urban schools. J. Res. Health Sci. 2021, 22, e00538. [Google Scholar] [CrossRef] [PubMed]
- Chingono, R. M. S. , Mackworth-Young, C. R. S., Ross, D. A., Tshuma, M., Chiweshe, T., Nyamayaro, C., Sekanevana, C., Doyle, A. M., Weiss, H. A., Kohl, K., Mangombe, A., Madzima, B., McHugh, G., & Ferrand, R. A. Designing routine health checkups for adolescents in Zimbabwe. J. Adolesc. Health. 2021, 69, 940–947. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. Fact sheet on Sustainable Development Goals (SDGs): Health targets. Child and adolescent health. https://apps.who.int/iris/bitstream/handle/10665/340816/WHO-EURO-2017-2373-42128-58033-eng.pdf?sequence=3&isAllowed=y.
- Global Accelerated Action for the Health of Adolescents (AA-HA!): Guidance to support country implementation. Summary. Geneva: World Health Organization; 2017 (WHO/FWC/MCA/17.05). Licence: CC BY-NC-SA 3.0 IGO.
| Variables | n (%) | Mean±SD |
|---|---|---|
| Age | 16.09±2.63 | |
| Gender | ||
| Female | 394 (55.8) | |
| Male | 312 (44.2) | |
| Place of residence | ||
| Urban | 595 (84.3) | |
| Rural | 111 (15.7) | |
| Mother education | ||
| <High school | 484 (68.6) | |
| ≥ High school | 222 (31.4) | |
| Father education | ||
| <High school | 336 (47.6) | |
| ≥ High school | 370 (52.4) | |
| Income level | ||
| High | 329 (46.6) | |
| Low | 377 (53.4) | |
| Health satisfaction | ||
| Satisfied | 519 (73.5) | |
| Non-satisfied | 187 (26.5) | |
| Preferred health service primarily | ||
| Public | 623 (88.2) | |
| Private | 83 (11.8) | |
| eHealth literacy | Min-max:8-40 | 29.40±6.29 |
| Health Promotion | Min-max:40-200 | 137.97±21.87 |
| Life appreciation | Min-max:10-50 | 35.70±6.73 |
| Health responsibility | Min-max:15-75 | 52.72±8.76 |
| Exercising | Min-max:4-20 | 12.07±4.30 |
| Nutritional | Min-max:3-15 | 10.52±2.59 |
| Stress | Min-max:3-15 | 10.05±2.86 |
| Social support | Min-max: 4-20 | 13.65±3.43 |
| Variables | n (%) |
| None-alcohol users | 642 (96.0) |
| None-smokers | 572 (81.0) |
| Annual weight measurement | 486 (68.8) |
| Annual blood iron measurement | 342 (48.4) |
| Annual blood pressure measurement | 339 (48.0) |
| Annual dental check-up | 325 (46.0) |
| Exercise regularly (30 min/d) | 302 (42.8) |
| Annual blood cholesterol measurement | 234 (33.1) |
| Annual eye check-up | 170 (24.0) |
| Annual blood-glucose measurement | 150 (21.2) |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
|---|---|---|---|---|---|---|---|---|
| eHealth literacy | 1.0* | |||||||
| Adolescent Health Promotion Total Scale | 0.371 | 1 | ||||||
| Life appreciation | 0.317 | 1 | ||||||
| Health responsibility | 0.351 | 1 | ||||||
| Exercise | 0.201 | 1 | ||||||
| Nutrition behaviors | 0.122 | 1 | ||||||
| Stress management | 0.226 | 1 | ||||||
| Social support | 0.229 | 1 |
| Model 1 | B | β | t | p |
|---|---|---|---|---|
| Adolescent Health Promotion | 0.01 | 0.27 | 7.54 | <0.001 |
| Annual Weight Measurement | 0.15 | 0.13 | 3.55 | <0.001 |
| Annual Blood Pressure Measurement | -0.08 | -0.09 | 0.83 | 0.41 |
| Annual Blood Cholesterol Measurement | -0.04 | -0.04 | 1.09 | 0.27 |
| Annual Dental Examination | 0.10 | 0.11 | 2.76 | <0.01 |
| Annual Blood Iron Measurement | 0.04 | 0.16 | 1.13 | 0.26 |
| Annual Blood Glucose Measurement | −0.99 | −0.19 | 3.52 | <0.001 |
| Annual Eye Examination | 0.07 | 0.08 | 0.71 | 0.48 |
| Exercise Regularly (30 Min/D) | -0.01 | -0.01 | 0.24 | 0.98 |
| Non-Smokers | -0.08 | -0.09 | 2.16 | 0.03 |
| Non-Alcohol Users | -0.12 | -0.11 | 2.69 | <0.01 |
| R | 0.526 | |||
| R2 | 0.27 | |||
| DW | 1.66 | |||
| F | 10.565 | |||
| p | <0.001 |
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