Introduction:Psychological stress from the ongoing coronavirus disease 2019 (COVID-19) pandemic can potentially aggravate the course of several stress-sensitive skin and hair diseases. This study aimed to determine the potential association of COVID-19 stress with hair diseases, such as telogen effluvium (TE), alopecia areata (AA), and seborrheic dermatitis (SD), among medical students in Bangladesh.MethodsThis online-based cross-sectional study was conducted among 404 medical students of Bangladesh using a self-administered questionnaire, including sociodemographic information, status of hair diseases (i.e., TE, AA, and SD), COVID-19 fear scale, impact of event scale specific for COVID-19 (IES-COVID-19), and COVID-19 student stress questionnaire (CSSQ) scale, to determine pandemic-related stress. The logistic regression model was used to analyze the association.ResultsOverall prevalence of TE, AA, and SD was 61.1, 24.7, and 57.7%, respectively, with female predominance in case of TE and male predominance in case of AA and SD. More than half of the participants had COVID-19-related fear and traumatic stress symptoms. In the multiple logistic regression model, smoking [adjusted odds ratio (aOR) 2.93, 95% CI 1.29–6.65 for AA and aOR 4.19, 95% CI 1.83–9.56 for TE], COVID-19-related fear (aOR 1.70, 95% CI 1.01–2.89 for AA and aOR 2.620, 95% CI 1.25–5.48 for TE), and COVID-19-related traumatic stress symptoms (aOR 1.84, 95% CI 1.08–3.13 for AA, aOR 2.61, 95% CI 1.19–5.68 for TE, and aOR 1.92, 95% CI 1.14–3.25 for SD) were the risk factors of hair fall disorders.ConclusionOur study showed that a large number of medical students experienced TE, AA, and SD during the pandemic era. COVID-19-related stress and fear potentially have an association with these diseases.
Background Adherence to inhaler medication is an important contributor to optimum asthma control along with adequate pharmacotherapy. The objective of the present study was to assess self-reported adherence levels and to identify the potential factors associated with non-adherence to the inhalers among asthma patients. Methods This facility-based cross-sectional study was conducted in the medicine outpatient department of Rajshahi Medical College Hospital from November 2020 to January 2021. A total of 357 clinically confirmed adult asthma patients were interviewed. Inhaler adherence was measured using the 10-item Test of Adherence scale (TAI).. Both descriptive and inferential statistics were used to express the socio-demographic of the patients and predictors of poor adherence to inhaler. Results A substantial number of participants were non-adherent (86%) to inhaler medication. Patients non-adherent to inhaler medication are often younger (23.15, 95% CI 3.67–146.08), lived in the rural area (23.28, 95% CI 2.43–222.66), less year of schooling (5.69, 95% CI 1.27–25.44), and belonged to the middle income (aOR 9.74, 95% CI 2.11–44.9) than those adherent with the inhaler. The presence of comorbidities (12.91, 95% CI 1.41–117.61), prolonged duration of inhaler intake (5.69, 95% CI 1.22–26.49), consulting non-qualified practitioners (13.09, 95% CI 3.10–55.26) were the significant contributor of non-adherence. Conclusion Despite ongoing motivation and treatment, non-adherence to inhalation anti-asthmatic is high and several factors have been found to contribute. Regular monitoring and a guided patient-centered self-management approach might be helpful to address them in long run.
Introduction: Medical students are vulnerable group to migraine, one of the most common type of headache worldwide. The aim of the present study was to determine the prevalence of migraine and related disability among medical students of Bangladesh. Methods: This cross-sectional study was conducted among 1327 students from six medical colleges Bangladesh during March 2021 through a self-administered online survey. ID MigraineTM scale and MIDAS scale were used to screen migraine and migraine related disability respectively. Frequency distribution, and Chi-square test, t-test along with multiple logistic regressions model were used to determine the prevalence and associated factors of migraine respectively. Results: The overall prevalence of migraine among the participants was 19%. The prevalence was higher among females (27%) than males (8%). Female sex (aOR 4.11, 95% CI 2.79-6.03) and poor sleep quality (aOR 2.07, 95% CI 1.48-2.91) were identified as independent risk factors of migraine. More than 90% migrainures reported to suffer from moderate to severe headache. Nausea was most commonly reported associated symptom (83.5%) followed by photophobia (72%) and vomiting (53%). Self-reported mental stress (55%), irregular sleep (49%), noise (30.5%), and usage of electronic device (30.5%) were most commonly reported triggering factor of migraine attack. More than half of the sufferers reported severe migraine related disability (MIDAS score ≥ 21). Conclusions: The prevalence of migraine among medical students of Bangladesh is alarmingly high. Frequent migraine attacks and severe intensity of headache cause a substantial level of disability among the sufferers. Cautious avoidance of the triggering factors through appropriate interventions and prophylactic medication can mitigate the negative impact of migraine as well as improve the quality of life.
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