Quality of sleep is linked to a number of illnesses, including cardiovascular problems, diabetes, mental and behavioral issues. The study determined the impact of night time smoking on sleep quality and musculoskeletal health. A cross -sectional study was conducted among desk-based officials of Dhaka city between June to September 2022 using convenient sampling technique. Sleep quality was measured by Pittsburgh Sleep Quality Index (PSQI). Data were collected through structured interview and analyzed by IBM SPSS 25 statistical package software. A total of 261 desk-based officials who do smoke were included in this study and among them, 132 (50.6%) were night time smokers. More than half of the study participants had poor sleep quality (58.6%). Night time smoking habit (OR= 2.59, 95% CI: 1.55 - 4.32) and doing a job in a private organization (OR=1.71, 95% CI: 1.02 - 2.85) were a significant predictor of poor sleep quality. On the other hand, various musculoskeletal health issues such as pain in the shoulder/ neck, pain in the back/ lower back, and pain in arms etc. were also scientifically associated with night time smoking habit (P<0.05). Night smoking poses a significant health risk as it is associated with sleep disturbance and musculoskeletal health problems. Lifestyle modification of desk-based officials is urgent to reduce the health risk. Asian J. Med. Biol. Res. 2022, 8 (4), 264-269
The severity of Coronavirus disease-2019 (COVID-19) varies among individuals and some influential factors leads to critical infections and death. This study aimed to assess various clinical data of hospitalized patients and identify the determinants of critical COVID-19 infection. This was a cross-sectional study among hospitalized COVID-19 patients confirmed by reverse transcription polymerase chain reaction (RT-PCR). Data was collected from a single Centre between January to April 2021 by experienced physicians of Ad-din Medical College Hospital. All of the laboratory tests were performed by technical experts and the data was analyzed by Statistical package for the social sciences software. Among the study participants 25% were Intensive care unit (ICU) patients and the mean age of them were higher (59 years) than non-ICU (55 years) patients. Our analysis has identified diabetes mellitus (AOR=2.5, 95%CI: 1.1-5.4) and ischemic heart disease (AOR=3.1, 95%CI: 1.1-8.9) as significant predictor of critical outcome (ICU admission). Anemia (AOR=3.3, 95%CI: 1.5-7.4), lymphopenia (AOR=2.9, 95%CI: 1.2-7.1), and thrombocytopenia (AOR=4.2, 95%CI: 2.7-12.9) was also associated critical outcome. Biomarkers of kidney injury (creatinine, blood urea nitrogen), liver damage (alanine transaminase, aspartate aminotransferase, fibrinogen) and electrolyte imbalance (sodium and potassium level) were also significantly associated with critical infection. A higher d-dimer level (≥2.5) was the most important predictor (AOR=11.5, 95%CI: 5.4-24.6) of critical COVID 19 infections. The study has revealed socio-demographic, comorbidity, and radiological risk factors of critical COVID-19 infections. The identified risk factors would be considered for decision making during the treatment process. Asian J. Med. Biol. Res. 2022, 8 (1), 16-23
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