Social media disorder among Indian undergraduate medical students and its association with depression: An institution-based mixed-method study

Background: Social media disorder (SMD) is the current entity in this decade that leads to different screen-related health problems. Despite of tremendous academic pressure, how social media affects the future doctors, is yet unknown. Aims: The aim is to determine the prevalence of SMD among the und...

Full description

Bibliographic Details
Main Authors: Rajib Saha, Manisha Sarkar
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Indian Journal of Social Psychiatry
Subjects:
Online Access:http://www.indjsp.org/article.asp?issn=0971-9962;year=2020;volume=36;issue=4;spage=289;epage=295;aulast=Saha
id doaj-fd7132d1dd0f4747a375fb0ae1cd494d
record_format Article
spelling doaj-fd7132d1dd0f4747a375fb0ae1cd494d2021-01-08T03:23:54ZengWolters Kluwer Medknow PublicationsIndian Journal of Social Psychiatry0971-99622020-01-0136428929510.4103/ijsp.ijsp_42_20Social media disorder among Indian undergraduate medical students and its association with depression: An institution-based mixed-method studyRajib SahaManisha SarkarBackground: Social media disorder (SMD) is the current entity in this decade that leads to different screen-related health problems. Despite of tremendous academic pressure, how social media affects the future doctors, is yet unknown. Aims: The aim is to determine the prevalence of SMD among the undergraduate medical students of a tertiary care hospital in West Bengal and to determine its predictors. Settings and Design: A cross sectional analytical mixed-method study was conducted at a tertiary care center of Bankura. Methodology: During April–June 2019, 216 undergraduate medical students were selected through two-stage sampling method. Data were collected using semi-structured questionnaire, 9-item SMD scale, and Beck's Depression Inventory Scale. Statistical Analysis Used: Data were analyzed using SPSS (version 16) initially through bivariate analysis using Chi-square test and later logistic regression was used to determine the actual predictor(s). Results: The prevalence of SMD was found to be 11.6%. All of the students were found to be social media users and among them the prevalence of screen-related sleep disturbance, headache, eye problem, musculoskeletal problems, and overweight or obesity was 35.6%, 36.1%, 28.7%, 31.5%, and 50.9%, respectively. However, no significant relationship was obtained between SMD and above health problems. Through logistic regression model, it was found that the students with depression were 6.7 times more prone to develop SMD. Conclusions: Depression being a risk-factor for SMD needs to be addressed as priority by providing appropriate counseling and/or professional consultation.http://www.indjsp.org/article.asp?issn=0971-9962;year=2020;volume=36;issue=4;spage=289;epage=295;aulast=Sahaaddictiondepressionmedical studentsscreen related health problemsocial media disorder
collection DOAJ
language English
format Article
sources DOAJ
author Rajib Saha
Manisha Sarkar
spellingShingle Rajib Saha
Manisha Sarkar
Social media disorder among Indian undergraduate medical students and its association with depression: An institution-based mixed-method study
Indian Journal of Social Psychiatry
addiction
depression
medical students
screen related health problem
social media disorder
author_facet Rajib Saha
Manisha Sarkar
author_sort Rajib Saha
title Social media disorder among Indian undergraduate medical students and its association with depression: An institution-based mixed-method study
title_short Social media disorder among Indian undergraduate medical students and its association with depression: An institution-based mixed-method study
title_full Social media disorder among Indian undergraduate medical students and its association with depression: An institution-based mixed-method study
title_fullStr Social media disorder among Indian undergraduate medical students and its association with depression: An institution-based mixed-method study
title_full_unstemmed Social media disorder among Indian undergraduate medical students and its association with depression: An institution-based mixed-method study
title_sort social media disorder among indian undergraduate medical students and its association with depression: an institution-based mixed-method study
publisher Wolters Kluwer Medknow Publications
series Indian Journal of Social Psychiatry
issn 0971-9962
publishDate 2020-01-01
description Background: Social media disorder (SMD) is the current entity in this decade that leads to different screen-related health problems. Despite of tremendous academic pressure, how social media affects the future doctors, is yet unknown. Aims: The aim is to determine the prevalence of SMD among the undergraduate medical students of a tertiary care hospital in West Bengal and to determine its predictors. Settings and Design: A cross sectional analytical mixed-method study was conducted at a tertiary care center of Bankura. Methodology: During April–June 2019, 216 undergraduate medical students were selected through two-stage sampling method. Data were collected using semi-structured questionnaire, 9-item SMD scale, and Beck's Depression Inventory Scale. Statistical Analysis Used: Data were analyzed using SPSS (version 16) initially through bivariate analysis using Chi-square test and later logistic regression was used to determine the actual predictor(s). Results: The prevalence of SMD was found to be 11.6%. All of the students were found to be social media users and among them the prevalence of screen-related sleep disturbance, headache, eye problem, musculoskeletal problems, and overweight or obesity was 35.6%, 36.1%, 28.7%, 31.5%, and 50.9%, respectively. However, no significant relationship was obtained between SMD and above health problems. Through logistic regression model, it was found that the students with depression were 6.7 times more prone to develop SMD. Conclusions: Depression being a risk-factor for SMD needs to be addressed as priority by providing appropriate counseling and/or professional consultation.
topic addiction
depression
medical students
screen related health problem
social media disorder
url http://www.indjsp.org/article.asp?issn=0971-9962;year=2020;volume=36;issue=4;spage=289;epage=295;aulast=Saha
work_keys_str_mv AT rajibsaha socialmediadisorderamongindianundergraduatemedicalstudentsanditsassociationwithdepressionaninstitutionbasedmixedmethodstudy
AT manishasarkar socialmediadisorderamongindianundergraduatemedicalstudentsanditsassociationwithdepressionaninstitutionbasedmixedmethodstudy
_version_ 1724345302395125760