E-ISSN 2231-3206 | ISSN 2320-4672
 

Original Research 


Multiple linear regression approach to deduce Internet addiction impact on the psychosocial wellness of young medical students

Anuradha Yadav, Manisha Sankhla, Kavita Yadav, Ishwar Dayal Gupta.

Abstract
Background: The Internet is an inevitable part of life especially in the education sector, but at the same time irrational use of the Internet causes behavioral disorders. A high number of personality disorders such as impulsive behavior, depression, anxiety, and stress were also observed among medical students.

Aim and Objectives: Hence, the present study hypothesized to find out the association of depression, anxiety, and stress with Internet addiction (IA) among young medical students.

Materials and Methods: A cross-sectional survey was conducted among 250 1st-year medical students after taking ethics approval and written informed consent. Personal information and socio-demographic profile of participants were obtained. Young IA Test and Depression Anxiety Stress Scale (DASS-21) survey questionnaire was self-administered by participants. To identify the risk and protective factors for IA with DASS-21 step-wise multiple linear regression analyses were performed.

Results: The prevalence of IA was 24.0 % with mean scores (±Standard Deviation [SD]) of 39.01 (±16.99) among the medical students. Depression, anxiety, and stress mean scores (±SD) were 5.44 (±4.21), 4.94 (±3.84), 6.77 (±3.83), respectively. Students with IA had a statistically significant difference (P = 0.001) in all domains of DASS-21 over the non-internet addicted. A statistically significant positive relationship of IA with depression (coefficient of determination (R2), (R2 = 0.22)), anxiety (R2 = 0.26), and stress (R2 = 0.33) were observed.

Conclusions: 1/4th of the medical students were internet-addicted and 3.0% having severe anxiety. 22.0% of depression, 26.0% of anxiety, and 33.0% of stress among young medical students are attributable to IA. The rational use of the internet should be learned for psychological health and well-being.

Key words: Anxiety; Depression Anxiety Stress Scale 21; Depression; Internet Addiction; Medical Students; Stress


 
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How to Cite this Article
Pubmed Style

Yadav A, Sankhla M, Yadav K, Gupta ID. Multiple linear regression approach to deduce Internet addiction impact on the psychosocial wellness of young medical students. doi:10.5455/njppp.2022.12.08280202116082021


Web Style

Yadav A, Sankhla M, Yadav K, Gupta ID. Multiple linear regression approach to deduce Internet addiction impact on the psychosocial wellness of young medical students. http://www.njppp.com/?mno=107858 [Access: November 30, 2021]. doi:10.5455/njppp.2022.12.08280202116082021


AMA (American Medical Association) Style

Yadav A, Sankhla M, Yadav K, Gupta ID. Multiple linear regression approach to deduce Internet addiction impact on the psychosocial wellness of young medical students. doi:10.5455/njppp.2022.12.08280202116082021



Vancouver/ICMJE Style

Yadav A, Sankhla M, Yadav K, Gupta ID. Multiple linear regression approach to deduce Internet addiction impact on the psychosocial wellness of young medical students. doi:10.5455/njppp.2022.12.08280202116082021



Harvard Style

Yadav, A., Sankhla, . M., Yadav, . K. & Gupta, . I. D. (2022) Multiple linear regression approach to deduce Internet addiction impact on the psychosocial wellness of young medical students. doi:10.5455/njppp.2022.12.08280202116082021



Turabian Style

Yadav, Anuradha, Manisha Sankhla, Kavita Yadav, and Ishwar Dayal Gupta. 2022. Multiple linear regression approach to deduce Internet addiction impact on the psychosocial wellness of young medical students. doi:10.5455/njppp.2022.12.08280202116082021



Chicago Style

Yadav, Anuradha, Manisha Sankhla, Kavita Yadav, and Ishwar Dayal Gupta. "Multiple linear regression approach to deduce Internet addiction impact on the psychosocial wellness of young medical students." doi:10.5455/njppp.2022.12.08280202116082021



MLA (The Modern Language Association) Style

Yadav, Anuradha, Manisha Sankhla, Kavita Yadav, and Ishwar Dayal Gupta. "Multiple linear regression approach to deduce Internet addiction impact on the psychosocial wellness of young medical students." doi:10.5455/njppp.2022.12.08280202116082021



APA (American Psychological Association) Style

Yadav, A., Sankhla, . M., Yadav, . K. & Gupta, . I. D. (2022) Multiple linear regression approach to deduce Internet addiction impact on the psychosocial wellness of young medical students. doi:10.5455/njppp.2022.12.08280202116082021