Objectives: This objective of the study was to report the prevalence of internet addiction, sleep quality, depression, anxiety, and stress in undergraduate medical students. Methods: A cross-sectional, questionnaire-based study was conducted among 221 undergraduate medical students at Government Doon Medical College, Dehradun, Uttarakhand. Data pertaining to internet addiction, sleep quality, and depressive symptoms were also collected using validated and reliable questionnaires (Young Internet Addiction Test, Pittsburgh Sleep Quality Index, and Depression Anxiety Stress Scale 21). Results: The prevalence of poor sleep quality, severe anxiety, and severe depression was 33.9%, 7.3% and 3.6%, respectively. The place of residence was significantly associated (p = 0.006) with internet addiction. The mean Young Internet Addiction Test score was higher in students residing in hostels compared with students staying with families. Stress was associated with age. The mean stress score was higher in the age group 17-20 compared with the 21-24 age group. Stress and depression were independent predictors of sleep quality. Conclusion Quality sleep is the key for good health. Based on limited samples, this study showed that poor sleep quality was associated with stress and depression. Hence, continuous counselling is suggested for supporting students managing their stress and depression.

Background: Osteopenia is a known risk factor for sustaining skeletal fractures. Prevention of fragility fractures has obvious clinical and economic advantages, however screening all patients using a dual energy X-ray absorptiometry (DXA) is controversial not only because of the cost implications but also because it would potentially involve exposing a percentage of normal patients to unnecessary radiation. We wished to assess whether a simple hand X-ray measuring the 2nd metacarpal cortical index (2MCI) could be used as a simple screening tool for identifying patients with osteopenia. Methods: We retrospectively collected the radiographic data of 206 patients who had a simple radiograph of the hand and a DXA scan within one year of each other from our picture archiving and communication system database. The 2MCI was calculated for all patients. As data was parametric, a Pearson’s correlation was performed to assess association between Tscores and 2MCI. Further analysis involved the construction of receiver operating characteristic (ROC) curves to identify a 2MCI index, which would give the most appropriate sensitivity and specificity values for identifying the presence of osteopenia. Results: A statistically significant and moderate correlation between DXA T-scores and 2MCI values was found (r=0.54, n=206, P<0.001). Further ROC curve analysis of normal and osteopenic subjects identified that a 2MCI of 41.5 had a sensitivity of 100% and specificity of 53% for detecting osteopenia. Conclusions Our results support the use of the 2MCI as a simple screening tool for identifying patients with osteopenia.