Perception of Internet Use in Relation to Health Decision-Making among Nursing Students
Abstract
:1. Summary
2. Data Description
2.1. Design and Sample
2.2. Data Collection
- (1)
- Sociodemographic and health variables: age, gender, perceived health;
- (2)
- Variables related to conditions of access and use of the Internet and social networks: frequency of use, opinion of the Internet as a source of health information, use of other sources of health information, questions about participation in social networks, motives and satisfaction;
- (3)
- Perception of their health: questions about their perception of their health, the existence of problems at present, where they seek this help and the perception of the degree of usefulness of the Internet and social networks in relation to their need for help.
2.3. Data Analysis
2.4. Ethics
3. Results
4. Discussion
5. Limitations
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Variables | Responses | n | % |
---|---|---|---|
Gender (N = 486) | Man | 80 | 83.5% |
Woman | 405 | 16.3% | |
Non-Binary | 1 | 0.2% | |
Course nursing (N = 486) | 1st nursing | 177 | 36.4% |
2nd nursing | 153 | 31.5% | |
3rd nursing | 128 | 26.3% | |
4th nursing | 28 | 5.8% |
Connection to the Internet (Hours per Week) | Females n = 406 (83.5%) | Total % (83.5%) | Males n = 79 (16.3%) | Total % (16.3%) | Non- Binary n = 1 (0.2%) | Total Percentage | Rate of Validity | Cumulative Percentage |
---|---|---|---|---|---|---|---|---|
<1 h/week | 3 (0.7%) | 0.6% | - | - | - | 0.6% | 0.6% | 0.6% |
1 h–5 h | 29 (7.1%) | 6.0% | 2 (2.5%) | 0.4% | - | 6.4% | 6.4% | 7% |
5 h–10 h | 46 (11.3%) | 9.5% | 8 (10.2%) | 1.6% | - | 11.1% | 11.1% | 18.1% |
10 h–20 h | 82 (20.2%) | 16.9% | 22 (27.8%) | 4.5% | 1 (100%) | 21.6% | 21.6% | 39.7% |
20 h–30 h | 116 (28.7%) | 23.9% | 22 (27.8%) | 4.5% | - | 28.4% | 28.4% | 68.1% |
30 h–40 h | 88 (21.7%) | 18.1% | 16 (20.3%) | 3.3% | - | 21.4% | 21.4% | 89.5% |
>40 h | 42 (10.3%) | 8.6% | 9 (11.4%) | 1.9% | - | 10.5% | 10.5% | 100% |
total | 486 | 100% | ||||||
Connection to social networks (hours per week) | ||||||||
<1 h/week | 8 (2%) | 1.6% | 2 (2.5%) | .4% | 0.6% | 0.6% | 0.6% | |
1 h–5 h | 56 (13.8%) | 11.5% | 13 (16.5%) | 2.7% | - | 8.8% | 8.8% | 9.4% |
5 h–10 h | 82 (20.2%) | 16.9% | 17 (21.5%) | 3.5% | - | 20.0% | 20.0% | 29.4% |
10 h–20 h | 88 (21.7%) | 18.1% | 19 (24.1%) | 3.9% | - | 27.0% | 27.0% | 56.4% |
20 h–30 h | 75 (18.5%) | 15.4% | 17 (21.5%) | 3.5% | - | 23.7% | 23.7% | 80.1% |
30 h–40 h | 65 (16.0%) | 13.4% | 7 (8.9%) | 1.4% | 1 (100%) | 16% | 16% | 96.1% |
>40 h | 32 (7.9%) | 6.6% | 4 (5.1%) | .8% | - | 3.9% | 3.9% | 100.0% |
total | 486 | 100% |
Connection Time Spent Messaging (Hours per Week) | Females n = 406 (83.5%) | Total % (83.5%) | Males n = 79 (16.3%) | Total % (16.3%) | Non-Binary n = 1 (0.2%) | Total Percentage | Rate of Validity | Cumulative Percentage |
---|---|---|---|---|---|---|---|---|
<1 h/week | 8 (2%) | 1.6% | 2 (2.5%) | 0.4% | 0.6% | 0.6% | 0.6% | |
1 h–5 h | 56 (13.8%) | 11.5% | 13 (16.5%) | 2.7% | - | 8.8% | 8.8% | 9.4% |
5 h–10 h | 82 (20.2%) | 16.9% | 17 (21.5%) | 3.5% | - | 20.0% | 20.0% | 29.4% |
10 h–20 h | 88 (21.7%) | 18.1% | 19 (24.1%) | 3.9% | - | 27.0% | 27.0% | 56.4% |
20 h–30 h | 75 (18.5%) | 15.4% | 17 (21.5%) | 3.5% | - | 23.7% | 23.7% | 80.1% |
30 h–40 h | 65 (16.0%) | 13.4% | 7 (8.9%) | 1.4% | 1 (100%) | 16% | 16% | 96.1% |
>40 h | 32 (7.9%) | 6.6% | 4 (5.1%) | 0.8% | - | 3.9% | 3.9% | 100.0% |
total | 486 | 100% |
Security about Health Decisions Made Using the Internet | Females n = 406 (83.5%) | Total % (83.5%) | Males n = 79 (16.3%) | Total % (16.3%) | Non- Binary n = 1 (0.2%) | Total Percentage | Rate of Validity | Cumulative Percentage |
---|---|---|---|---|---|---|---|---|
in agreement | 106 (26.1%) | 21.8% | 34 (43.0%) | 7.0% | - | 28.8% | 28.8% | 28.8% |
disagree | 101(24.9%) | 20.8% | 9 (11.4%) | 1.9% | - | 22.8% | 22.8% | 51.6% |
undecided/not sure | 158 (38.9%) | 32.5% | 25 (31.6%) | 5.1% | - | 37.7% | 37.7% | 89.3% |
strongly agree | 7 (1.7%) | 1.4% | 4 (5.1%) | 0.8% | 1 (100%) | 2.3% | 2.3% | 91.6% |
strongly disagree | 34 (8.4%) | 7.0% | 7 (8.9%) | 1.4% | - | 8.4% | 8.4% | 100% |
Total | 486 | 100% | ||||||
frequency of searching for health information on the Internet | ||||||||
every day | 14 (3.4%) | 2.9% | 2 (2.5%) | 0.4% | - | 3.3% | 3.3% | 3.3% |
never | 1 (0.2%) | 0.2% | 1 (1.3%) | 0.2% | - | 0.4% | 0.4% | 3.7% |
sometimes, weekly | 116 (28.6%) | 23.9% | 23 (29.1%) | 4.7% | - | 28.6% | 28.6% | 32.3% |
sometimes, monthly | 174 (42.9%) | 35.8% | 30 (38.0%) | 6.2% | - | 42.2% | 42.2% | 74.5% |
sometimes, annually | 101 (24.9%) | 20.8% | 23 (29.1%) | 4.7% | - | 25.5% | 25.5% | 100% |
Total | 486 | 100% |
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Zafra-Agea, J.A.; Calvillo-Nuñez, N.; Gil-Jiménez, Ò.; Hellín-Pijuan, I. Perception of Internet Use in Relation to Health Decision-Making among Nursing Students. Eur. J. Investig. Health Psychol. Educ. 2023, 13, 810-819. https://doi.org/10.3390/ejihpe13050061
Zafra-Agea JA, Calvillo-Nuñez N, Gil-Jiménez Ò, Hellín-Pijuan I. Perception of Internet Use in Relation to Health Decision-Making among Nursing Students. European Journal of Investigation in Health, Psychology and Education. 2023; 13(5):810-819. https://doi.org/10.3390/ejihpe13050061
Chicago/Turabian StyleZafra-Agea, José A., Noelia Calvillo-Nuñez, Òscar Gil-Jiménez, and Ivan Hellín-Pijuan. 2023. "Perception of Internet Use in Relation to Health Decision-Making among Nursing Students" European Journal of Investigation in Health, Psychology and Education 13, no. 5: 810-819. https://doi.org/10.3390/ejihpe13050061
APA StyleZafra-Agea, J. A., Calvillo-Nuñez, N., Gil-Jiménez, Ò., & Hellín-Pijuan, I. (2023). Perception of Internet Use in Relation to Health Decision-Making among Nursing Students. European Journal of Investigation in Health, Psychology and Education, 13(5), 810-819. https://doi.org/10.3390/ejihpe13050061