Frequency and risk factors of musculoskeletal disorders in high risk occupation workers in Urban, Karachi.

OBJECTIVE: To determine the frequency and risk factors of musculoskeletal disorders in high-risk occupation workers in an urban setting. METHODS: The analytical cross-sectional study was conducted in Karachi from July to December 2020, and comprised office workers, operation theatre technicians and coolies. The presence of musculoskeletal disorders was assessed using the Nordic Musculoskeletal Questionnaire to determine factors associated with moderate to severe condition. Data was analysed using SPSS 20. RESULTS: Of the 300 male subjects, 100(33.3%) each were office workers, operation theatre technicians and coolies. The overall mean age was 33.25±6.8 years (range: 18-50 years). The overall prevalence of musculoskeletal disorders was 179(59.7%). Besides, 117(65.4%) patients with musculoskeletal disorders had intermediate stage of the disease. The lower back and neck were the most common site of trouble involved in preceding 12 months 111(43.6%) each. CONCLUSIONS: Prevalence of musculoskeletal disorders was found to be a common problem affecting high-risk occupational workers.

Engineering carbon nanotubes for sensitive viral detection.

Viral infections have been proven a severe threat to human beings, and the pandemic of Coronavirus Disease 2019 (COVID-19) has become a societal health concern, including mental distress and morbidity. Therefore, the early diagnosis and differentiation of viral infections are the prerequisite for curbing the local and global spread of viruses. To this end, carbon nanotubes (CNTs) based virus detection strategies are developed that provide feasible alternatives to conventional diagnostic techniques. Here in this review, an overview of the design and engineering of CNTs-based sensors for virus detection is summarized, followed by the nano-bio interactions used in developing biosensors. Then, we classify the viral sensors into covalently engineered CNTs, non-covalently engineered CNTs, and size-tunable CNTs arrays for viral detection, based on the type of CNTs-based nano-bio interfaces. Finally, the current challenges and prospects of CNTs-based sensors for virus detection are discussed.

Psychological impact of COVID-19 Pandemic and associated factors on college students.

OBJECTIVE: To determine the psychological impact of coronavirus disease-2019 pandemic on college students, and to explore factors influencing their anxiety and depression levels. METHODS: The cross-sectional study was conducted from October 2020 to January 2021 at the Jinnah Sindh Medical University, Karachi, and comprised medical students of either gender in the first to third year of the academic programme. Data was collected using a pretested online structured questionnaire comprising demographic information, academic problems, daily life difficulties and the 25-item Aga Khan University Anxiety and Depression Scale. Data was analysed using SPSS22. RESULTS: Of the 397 students, 72(18.1%) were males and 325(81.9%) were females. The overall mean age of the sample was 19.9±1.2 years. Of the total, 221(55.7%) students were found to be anxious and depressed. Factors related to academic difficulties and daily life issues had significant correlation (p<0.05) with anxiety and depression. Multiple linear regression analysis indicated that the need for some form of mental health support was the most significant (p<0.001) predictor of anxiety and depression, followed by family issues (p<0.001) and social media (p<0.001). Anxiety and depression were also significantly associated with fear of family or friend getting coronavirus disease-2019 (p=0.003), lack of attentiveness to study (p=0.040) and felt anxiety when ordering food online (p=0.019). CONCLUSIONS: With better understanding, academic institutions and healthcare policymakers may take measures and mitigate students' distress during the pandemic.