Social media has become an inseparable part of medical students’ lives, but excessive use is now showing addiction like patterns. This article explores an Indian study on social media addiction among medical students and its strong link with sleep deprivation, mental fatigue, impaired concentration, and declining academic performance in today’s digital age.
Table of contents [Show]
Over the past decade, the rapid spread of affordable smartphones and easy internet access has transformed social media into an inseparable part of daily life, especially for young people. Platforms that allow instant sharing of messages, photos, and videos now connect billions worldwide. While these tools have obvious benefits, there is increasing recognition that excessive and uncontrolled use of social media can take the shape of a behavioral addiction, producing psychological effects similar to those seen with substance use. Researchers have begun to note that in extreme cases, the compulsive urge to remain online, the inability to cut down usage, and the distress experienced when disconnected resemble classical patterns of dependence.
Social media does not only consume time but also affects mental well-being and biological rhythms. Constant notifications, late night scrolling, and exposure to the blue light of screens interfere with sleep by delaying the onset of sleep and disturbing the circadian rhythm. Prolonged engagement on these platforms also displaces time that should be spent resting. Among students, poor sleep quality is known to impair concentration, memory, and overall academic performance. Several studies have also linked excessive social media use with anxiety, low mood, and declining scholastic outcomes, making it an issue that goes beyond simple lifestyle choice.
India has one of the largest youth populations in the world and has witnessed an explosive growth in smartphone and mobile data usage. This has naturally led to a massive increase in social media consumption. Despite this, there has been a relative lack of Indian studies using locally developed and validated tools to measure social media addiction. Some earlier work suggested that a significant proportion of students already show problematic use patterns, and medical students in particular, who already face academic stress and long hours, may be especially vulnerable to such technology related behavioral problems.
To address this gap, researchers from a government medical college in Delhi conducted a study to assess addiction like behavior related to social media usage among undergraduate medical students and interns. The central objective was not only to estimate the extent of the problem but also to develop and test a structured questionnaire that could reliably measure such behavior in the Indian setting, and to examine how this behavior relates to sleep quality.
The study was carried out as a cross sectional survey between September and November 2019 among MBBS students and interns of a government medical college in Delhi. All participants were able to read and respond in English, which is the medium of instruction in medical education. Students were selected through random sampling from different batches to ensure representation across different years of training.
The researchers designed a twenty item Social Media Addiction Questionnaire after carefully mapping its questions to internationally accepted criteria for dependence and to previously validated tools used for behavioral and technological addictions. The questionnaire explored domains such as intense desire to use social media, impaired control over usage, tolerance, withdrawal like feelings, reduced interest in other activities, and harmful consequences of use. Each item was scored on a six point scale ranging from strong disagreement to strong agreement, with higher total scores indicating a greater risk of addiction like behavior. Before final use, the tool was pretested and reviewed by experts to ensure content validity and clarity.
To evaluate the effect of social media use on sleep, the study also employed the Pittsburgh Sleep Quality Index, a well established instrument that measures different aspects of sleep such as duration, latency, efficiency, disturbances, and daytime dysfunction. Based on the total score, students were classified as having good or poor sleep quality, using cutoffs that have already been validated in Indian student populations.
Participants filled the questionnaires in supervised group settings to avoid discussion or influence among peers. Informed consent was obtained from all students, and confidentiality of data was maintained. The study received approval from the institutional ethics committee, and the data were used strictly for research purposes.
Out of the distributed questionnaires, 424 complete responses were analyzed. About two thirds of the participants were male, and one third were female. The average age was around twenty years, reflecting a typical undergraduate medical student population. On average, students reported spending nearly twenty two hours per week on social media, with older students spending significantly more time than their junior counterparts, while no major difference was observed between males and females in overall time spent.
Statistical analysis showed that the Social Media Addiction Questionnaire had very good internal consistency, indicating that the items reliably measured a common underlying construct. Further analysis revealed that the questionnaire captured four major components, which broadly reflected impaired control, reduced pleasure from other activities, intense desire to use social media, and harmful patterns of use. Together, these components explained more than half of the total variance, supporting the questionnaire’s construct validity.
A striking finding was that a large proportion of students admitted that they often felt they should cut down their time on social media but were unable to do so, reflecting impaired control and tolerance. Many also reported checking notifications immediately after waking up or even during classes. Although fewer students felt that social media had completely replaced their real world relationships, a significant number acknowledged that it was affecting their productivity and academic performance.
When sleep quality was analyzed, about one third of the students were found to have poor sleep. Importantly, those with poor sleep had significantly higher social media addiction scores compared to those who slept well. This clearly suggests that excessive and uncontrolled use of social media is associated with sleep deprivation, reinforcing concerns that digital habits are directly interfering with basic physiological needs.
Older students were more likely than younger ones to agree with statements such as feeling unhappy when not connected or imagining life as less interesting without social media, indicating that the addictive potential of these platforms may persist or even increase with time. Interestingly, gender did not show a significant association with addiction scores in this study, highlighting that problematic use is not limited to one sex and may be influenced more by individual habits and circumstances.
Nearly half of the students felt that their academic performance and productivity were suffering because of excessive social media use. Many also reported feeling tired and sleep deprived due to late night usage. These findings are worrying in a demanding course like medicine, where sustained attention, memory, and emotional stability are crucial for both learning and patient care.
The results are consistent with international studies that have shown a relationship between prolonged social media use, poor sleep, and reduced academic performance. At the same time, some differences were noted, such as the relatively lower impact reported on self esteem or interpersonal relationships compared to studies from Western countries, suggesting that cultural factors may influence how social media affects personality and social behavior.
The authors also acknowledged several limitations. There is still no universally accepted gold standard to diagnose social media addiction, so it was not possible to define a strict cutoff between addiction and non addiction. The data were self reported and could be influenced by social desirability bias. The cross sectional design also means that cause and effect cannot be firmly established, and it remains unclear whether poor sleep leads to more social media use or vice versa.
Despite these limitations, the study clearly demonstrates that a large proportion of medical students show addiction like patterns of social media use, and that this behavior is significantly associated with poor sleep quality. Even if social media addiction is not yet formally recognized as a clinical disorder, its real world consequences on health, sleep, and academic functioning are becoming increasingly evident.
For medical students, who are future healthcare providers, this issue carries special importance. Awareness, self regulation, and institutional initiatives promoting healthy digital habits are essential. Addressing social media overuse is not about rejecting technology, but about learning to use it in a balanced way that supports, rather than undermines, physical health, mental well being, and professional development.
This article is based on the study “Addiction like behavior associated with social media usage in undergraduate students of a government medical college in Delhi, India” by Basu et al.
It was published in the Indian Journal of Psychiatry in 2021.
ProtoRadNet, an explainable AI model developed at IISER Bhopal, can interpret MRI, CT and X ray scans like a radiologist. Built over 1.5 years and tested on public datasets with 92% accuracy and 190+ clinical reports, the system highlights suspicious regions and explains findings. This innovation could help address India’s radiologist shortage and improve diagnostic speed.
A first-of-its-kind genomic study from India has revealed that the Mpox case detected in Kerala was caused by the Clade Ib variant imported through international travel from Dubai. Genetic sequencing traced the virus’s journey into India, uncovered dangerous mutations, and warned that this evolving strain may spread faster and wider through sustained human transmission.
A major Indian Journal of Medical Research 2025 study reveals rising lung cancer incidence in India, sharp regional and gender disparities, increasing adenocarcinoma dominance, and worrying projections up to 2030.
