教育干预对预防新德里部分高校学生因网络成瘾而产生健康问题的效果

Jyoti Shukla, Harindarjeet Goyal, Mitali Biswas
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摘要

网瘾(IA)已被认为是一个全球关注的问题,它会导致久坐不动的生活方式和体能下降。据报道,上网者普遍存在数码眼疲劳、上半身疼痛、肥胖、失眠、焦虑和抑郁等健康问题。由于教育或研究的需要,学生对互联网的使用有更高的要求。因此,迫切需要向学生宣传 IA 对健康的危害以及预防方法。本研究评估了预防网络成瘾导致的健康问题的教育干预措施的有效性,并找出了测试后的知识和实践得分与选定的人口统计学变量之间的关联。 本研究在新德里的 PGDAV 学院进行了定量实验研究,采用了一组前测和一组后测的设计方法,在 54 名大学生中进行了全面点名抽样。在 0.05 的显著性水平下,前测和后测知识与实践得分之间的 t 值(18.39)和(14.76)具有统计学意义。在本次研究中,教育干预有效地提高了学生对预防网络成瘾导致的健康问题的认识和实践。研究发现,后测知识得分与学年之间存在明显关联。然而,测试后的实践得分与所选变量之间没有发现明显的关联。
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Effectiveness of an Educational Intervention on Prevention of health problems due to Internet addiction among students of selected college of New Delhi
Internet Addiction (IA) has been recognized as a global concern that can lead to sedentary lifestyles and a decline in physical fitness. Digital eye strain, pain in the upper body parts, obesity, insomnia, anxiety, and depression are health problems commonly reported among internet users. There is more requirement for internet use among students owing to their educational or research needs. There is an urgent need to sensitize students about the health hazards due to IA and ways to prevent them. Thecurrent studyevaluates the effectiveness of educational intervention on the prevention of health problems due to internet addiction and to find out the association of post-test knowledge and practice score with selected demographic variables Quantitative Experimental research with one group Pre-test, and Post-test design was conducted at PGDAV College, New Delhi among 54 college students using total enumeration sampling. The t-value (18.39) and (14.76) between pre-test and post-test knowledge and practice scores were statistically significant at 0.05 level of significance. In the current study, the educational intervention was effective in enhancing the knowledge and practice expressed on the prevention of health problems due to internet addiction. A significant association was found between post-test knowledge scores and the academic year. However, no significant association was found between post-test practice scores and selected variables.
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