Problematic use of the internet, smartphones, and social media among medical students and relationship with depression: An exploratory study.

BACKGROUND: Students in sub-Saharan African countries experienced online classes for the first time during the COVID-19 pandemic. For some individuals, greater online engagement can lead to online dependency, which can be associated with depression. The present study explored the association between problematic use of the internet, social media, and smartphones with depression symptoms among Ugandan medical students. METHODS: A pilot study was conducted among 269 medical students at a Ugandan public university. Using a survey, data were collected regarding socio-demographic factors, lifestyle, online use behaviors, smartphone addiction, social media addiction, and internet addiction. Hierarchical linear regression models were performed to explore the associations of different forms of online addiction with depression symptom severity. RESULTS: The findings indicated that 16.73% of the medical students had moderate to severe depression symptoms. The prevalence of being at risk of (i) smartphone addiction was 45.72%, (ii) social media addiction was 74.34%, and (iii) internet addiction use was 8.55%. Online use behaviors (e.g., average hours spent online, types of social media platforms used, the purpose for internet use) and online-related addictions (to smartphones, social media, and the internet) predicted approximately 8% and 10% of the severity of depression symptoms, respectively. However, over the past two weeks, life stressors had the highest predictability for depression (35.9%). The final model predicted a total of 51.9% variance for depression symptoms. In the final model, romantic relationship problems (ß = 2.30, S.E = 0.58; p<0.01) and academic performance problems (ß = 1.76, S.E = 0.60; p<0.01) over the past two weeks; and increased internet addiction severity (ß = 0.05, S.E = 0.02; p<0.01) was associated with significantly increased depression symptom severity, whereas Twitter use was associated with reduced depression symptom severity (ß = 1.88, S.E = 0.57; p<0.05). CONCLUSION: Despite life stressors being the largest predictor of depression symptom score severity, problematic online use also contributed significantly. Therefore, it is recommended that medical students' mental health care services consider digital wellbeing and its relationship with problematic online use as part of a more holistic depression prevention and resilience program.

Fear of COVID-19 and the Media Influence on Herbal Medication Use in Uganda: A Cross-Sectional Study.

BACKGROUND: The coronavirus disease-2019 (COVID-19) pandemic has created fear in people around the world. This has led to the widespread use of various herbal remedies in its prevention and treatment regardless of the paucity of scientific evidence about their safety and efficacy. This study assessed the fear of COVID-19 and the influence of media on the use of herbal medicine to prevent or treat COVID-19 in Uganda. METHODS: In the first 2 weeks of July 2021, a descriptive online cross-sectional study was carried out anonymously in the general population in Uganda. A validated questionnaire was used to collect data on herbal medicine use and the influence of media. Fear of COVID-19 was rated using the Fear of COVID-19 Scale (FCV-19S). RESULTS: We recruited 488 participants, 273 (55.9%) were female, with a median age of 25 (range: 18-73) years. Sixty-seven (57.8%) participants had a confirmed COVID-19 diagnosis. The mean FCV-19S score was 21.7 SD 5.9 with 53.3% reporting high levels of COVID-19 fear. About 57.4% of participants reported using herbal remedies either to prevent or treat COVID-19-like symptoms. Media was the main source of information, with more than 80% of the participants reporting seeing or accessing information about herbal medication use. Women (adjusted odds ratio (aOR): 1.74, 95% CI: 1.2-2.5, p=0.003) and people with a previously confirmed COVID-19 diagnosis (aOR: 3.1, 95% CI: 1.35-7.14, p=0.008) had a statistically significantly higher FCV-19S score. Being unemployed (aOR: 1.0, 95% CI: 1.1-2.3, p=0.008) and a female (aOR: 1.0, 95% CI: 1.1-2.3, p=0.012) were statistically significantly associated with herbal medicine use. Participants who used herbal remedies had a higher median FCV-19S score compared to non-users (23 versus 21, p<0.001). CONCLUSION: The use of herbal medicines to treat or prevent COVID-19 is a widespread practice among the general population in Uganda amidst the high levels of fear of COVID-19.