Association of Smartphone Addiction and Perceived Stress Among Physiotherapy Students of Ahmedabad: An Observational Study

Abstract Background: Usage of smartphones has reached a stage of addiction among college students. Addiction to smartphones has been related to stress in different group of people like IT professionals, businesspeople, medical students, etc. This study aimed to find levels of smartphone use and stress and the association between smartphone usage and stress among physiotherapy students. Materials and Methods: An observational analytical study was conducted among physiotherapy students, through Google Form, containing demographics and two scales: Smartphone Addiction Scale (SAS-SV) and Perceived Stress Scale (PSS-14). All physiotherapy students willing to participate were included. Spearman’s coefficient was used to find the association between outcomes. Results: A total of 110 complete responses, 38 males and 72 females, were obtained with mean age of participants (20.45 ± 1.63) years. The SAS mean score was 29.86 ± 10.94 for males and 31.11 ± 10.49 for females. The mean PSS score was 44.39 ± 5.46 for males and 45.27 ± 8.36 for females. Association between outcomes showed r = 0.248, P = 0.009. Conclusion: Physiotherapy students were at high risk for smartphone addiction and had elevated levels of perceived stress. A statistically significant weak positive association between outcomes is seen.

Authors

Publication Details

Journal
D Y Patil Journal of Health Sciences
Published
2024-10-01
DOI
https://doi.org/10.4103/dypj.dypj_37_24
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of Smartphone Addiction and Perceived Stress Among Physiotherapy Students of Ahmedabad: An Observational Study

Drishti Shah, Megha Sheth, Manthan H. Purohit
D Y Patil Journal of Health Sciences
Impact of Technology on Adolescents
article

Association of Smartphone Addiction and Perceived Stress Among Physiotherapy Students of Ahmedabad: An Observational Study

Drishti Shah, Megha Sheth, Manthan H. Purohit
article en

Abstract

Abstract Background: Usage of smartphones has reached a stage of addiction among college students. Addiction to smartphones has been related to stress in different group of people like IT professionals, businesspeople, medical students, etc. This study aimed to find levels of smartphone use and stress and the association between smartphone usage and stress among physiotherapy students. Materials and Methods: An observational analytical study was conducted among physiotherapy students, through Google Form, containing demographics and two scales: Smartphone Addiction Scale (SAS-SV) and Perceived Stress Scale (PSS-14). All physiotherapy students willing to participate were included. Spearman’s coefficient was used to find the association between outcomes. Results: A total of 110 complete responses, 38 males and 72 females, were obtained with mean age of participants (20.45 ± 1.63) years. The SAS mean score was 29.86 ± 10.94 for males and 31.11 ± 10.49 for females. The mean PSS score was 44.39 ± 5.46 for males and 45.27 ± 8.36 for females. Association between outcomes showed r = 0.248, P = 0.009. Conclusion: Physiotherapy students were at high risk for smartphone addiction and had elevated levels of perceived stress. A statistically significant weak positive association between outcomes is seen.

D Y Patil Journal of Health SciencesVol. 12(4)
Good health and well-being
Openalex Percentile: Top 61%
Impact of Technology on Adolescents
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.