Positive and Negative Impact of Smart Phone on Study Habits among Students: A Study of Colleges of J&K


  • Suman Vashist Department of Nursing, Desh Bhagat University, Punjab, India
  • Thavamani Department of Nursing, Obstetrics and Gynecology in Nursing, SCPM Nursing College, Haripur, Uttar Pradesh, India




Impact, Smart phone, Students, Study habits


Aims and Objective: The aim of the study is to assess the positive and negative impact of smart phones on study habits among students: A study of colleges of J&K. Materials and Methods: Quantitative research approach was adopted to assess the positive and negative impact of Smart Phone on Health Status among student: A study of colleges of J&K. The present study was conducted at selected college in J&K. Purposive sampling technique was used to select the students who were selected from colleges. The tool was developed by keeping in mind the objectives of the study and prepared after extensive review of literature, internet sources and through discussion with guide, coguide and opinions of various experts in the field of medical health nursing, psychology, psychiatric, social, and preventive medicine. The reliability of the tool was assessed by Cronbach’s alpha method, which was Likert’s scale positive and negative impact of smart phone on study habit Likert’s scale impact of smart phone on psychological health status (r = 0.764). The tool was found to be reliable. The pilot study was carried out on 30 samples to assess the feasibility for conducting main research study and to assess the relevancy of the tool. The pilot study was conducted at BEE ENN nursing college, Jammu. The main data collection was done in the month of March 2021 and April 2021 at selected nursing college in J&K. 250 students were selected for the study using purposive sampling technique. The data analysis was done according to study objectives by using descriptive and inferential statistics. The plan of the data analysis is as follows; frequency, percentage, mean, and standard deviation were calculated. Chi-square test was used for association. Results: Out of 250 students, according to the age; the majority of students were between 19 and 21 years of age. Students had an average age of 20.51 ± 2.308. According to sex, the majority of 86.4% of students were female. According to family patterns, the majority of 70.8% of people lived in the nuclear family. Based on the monthly household income (Rs), the majority of people had 45.2% of Rupees with 16K to 30K. The monthly average household income was Rs. 32,880 ± 15635.96/month. Our finding suggests that the majority of 42.4% did not use a phone at college. According to social sites, the majority of just over half 52.4% of students used Facebook. In terms of mobile internet use, most of 82.0% of the students used social networking. A majority of 79.6% played mobile games. Most of 80.8% of the students listened to mobile music. Just over half, 51.6% of users did not shop through the mobile app while 48.4% did buying online. The majority 62% of students was using the online banking app. Based on the duration of use each day; the majority of 44% of students spend 1–2 h. Our finding showed that majority of 74% students had good impact on study habit while 26% had bad impact. The average impact on study habit was 47.80 ± 13.316. The present study finding shows the association of impact of study habits and selected variables of pattern of smart phone use among students. As result showed that use of mobile phone at college (χ2 = 24.363, P = 0.001), use of social site (χ2 = 19.356, P = 0.001), use of mobile phone for video call (χ2 =18.651, P = 0.001), most common purpose of using internet by mobile (fisher’s exact value = 19.281, P = 0.001), playing games (χ2 = 84.826, P = 0.001), watching movie (χ2 = 39.719, P = 0.001), online banking (χ2 = 18.045, P = 0.001), and duration of usage per day (fisher’s exact value = 74.168, P = 0.001), found significant at 1%. Hence, the null hypothesis is rejected. It is concluded that pattern of smart phone use among students had significant association on study habits. Conclusion: The study concluded that pattern of smart phone use had significant positive and negative impact on study habits. Nurses role are very important to understand, management and prevention of these of these problems among students.


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How to Cite

Suman Vashist, & Thavamani. (2022). Positive and Negative Impact of Smart Phone on Study Habits among Students: A Study of Colleges of J&K. Asian Pacific Journal of Health Sciences, 9(1), 54–57. https://doi.org/10.21276/apjhs.2021.9.1.11