| Literature DB >> 31856869 |
Batol Gholamian1, Hossein Shahnazi2, Akbar Hassanzadeh3.
Abstract
BACKGROUND: Adolescents and students are encountered with a challenge so-called "internet Addiction". This issue affects both their physical and mental health, as well as their academic, social, and family performance. The aim of the current research is to determine the impact of educational intervention. To achieve this aim, BASNEF is utilized to reduce the excessive use of the internet by students.Entities:
Keywords: Education; Internet addiction; Student
Mesh:
Year: 2019 PMID: 31856869 PMCID: PMC6921507 DOI: 10.1186/s13052-019-0761-4
Source DB: PubMed Journal: Ital J Pediatr ISSN: 1720-8424 Impact factor: 2.638
Fig. 1The conceptual framework of this research
Comparison of demographic characteristics of students in control and intervention groups
| Variable | Control Group | Intervention group | ||||
|---|---|---|---|---|---|---|
| % | No. | % | No. | |||
| Students’ age | 16 years old | 65 | 39 | 58.3 | 35 | 0.45 |
| 17 years old | 35 | 21 | 41.7 | 25 | ||
| Father’s occupation | Employee | 23.3 | 14 | 30 | 18 | 0.29 |
| worker | 11.8 | 7 | 11.7 | 7 | ||
| Business man | 58.3 | 35 | 50 | 30 | ||
| Unemployed | 3.3 | 2 | 0 | 0 | ||
| Others | 3.3 | 2 | 8.3 | 5 | ||
| Mother’s occupation | housewife | 75 | 45 | 78.3 | 47 | 0.8 |
| Employee | 15 | 9 | 15 | 9 | ||
| Others | 10 | 6 | 6.7 | 4 | ||
| Father’s level of education | Elementary | 6.7 | 4 | 8.3 | 5 | 0.89 |
| guidance | 13.3 | 8 | 18.3 | 11 | ||
| High school | 41.7 | 25 | 31.7 | 19 | ||
| Academic | 38.3 | 23 | 41.7 | 25 | ||
| Family income | Low | 8.3 | 5 | 3.3 | 2 | 0.89 |
| medium | 20 | 12 | 26.7 | 16 | ||
| Good | 63.3 | 38 | 60 | 36 | ||
| Excellent | 8.3 | 5 | 10 | 6 | ||
Frequency distribution of using internet by students in control and intervention groups
| Types of internet Use | Control Group | Intervention group | |||
|---|---|---|---|---|---|
| % | No. | % | No. | ||
| Searching on internet | 41.7 | 25 | 35 | 21 | 0.45 |
| Scientific research | 45 | 38.3 | 38.3 | 23 | 0.46 |
| Social networks | 63.3 | 58.3 | 58.3 | 35 | 0.57 |
| Spending leisure time | 63.3 | 58.3 | 58.3 | 35 | 0.26 |
| Others | 20 | 13.3 | 13.3 | 8 | 0.33 |
frequency distribution of students’ time usage of internet before and after intervention in control and intervention groups
| Time usage | Score | Control Group | Intervention group | |||
|---|---|---|---|---|---|---|
| % | No. | % | No. | |||
| Less than 8 h | 0 | 0 | 0 | 0 | 1 | |
| 8 h or more | 100 | 60 | 100 | 60 | ||
| After Intervention | Less than 8 h | 27.7 | 16 | 93.3 | 56 | 0 < 0.001 |
| 8 h or more | 73.3 | 44 | 6.7 | 4 | ||
- Comparison of mean scores of knowledge, attitude, subjective norms, enabling factors to reduce internet addiction in control and intervention groups, before and after intervention
| Control Group | Intervention group | |||||
|---|---|---|---|---|---|---|
| Mean | Standard Deviation | Mean | Standard Deviation | |||
| Knowledge | Before intervention | 48.56 | 23.49 | 49.16 | 20.34 | 0.88 |
| After intervention | 47.36 | 17.45 | 74.72 | 10.56 | < 0.001 | |
| 0.71 | < 0.001 | |||||
| Attitude | Before intervention | 67.74 | 17.77 | 69.3 | 15.19 | 0.60 |
| After intervention | 66.53 | 23.04 | 21.18 | 9.54 | < 0.001 | |
| 0.64 | < 0.001 | |||||
| Subjective norms | Before intervention | 41.15 | 20.62 | 40.08 | 13.43 | 0.74 |
| After intervention | 41.98 | 16.64 | 64.04 | 9.36 | < 0.001 | |
| 0.72 | < 0.001 | |||||
| Enabling factors | Before intervention | 28.54 | 14.44 | 28.37 | 14.21 | 0.95 |
| After intervention | 29.10 | 15.45 | 65.27 | 10.47 | < 0.001 | |
| 0.79 | < 0.001 | |||||
| Intention to act (about ceasing the internet addiction) | Before intervention | 36.76 | 17.68 | 35.51 | 11.39 | 0.64 |
| After intervention | 37.31 | 14.88 | 84.93 | 9.23 | < 0.001 | |
| 0.83 | < 0.001 | |||||