Fatigue and Sleep Quality Among Staff Nurses Working in A Tertiary Care Hospital During COVID-19 Pandemic

Introduction: Fatigue, a universal phenomenon, is a suboptimal psychophysiological condition caused by physical and/or mental exertion. Insufficient recovery between work shifts causes accumulated acute fatigue to progress into chronic. As fatigue and sleep quality are related, adequate sleep and inter shift recovery are thus vital to the overall health. The current COVID-19 pandemic has caused added burden to the nursing workforce worldwide. This study aimed to assess fatigue and sleep quality among staff nurses of a tertiary care hospital during the pandemic. Methods: A descriptive cross-sectional study was conducted among 151 staff nurses of Lumbini Medical College and Teaching Hospital (LMCTH) using enumerative sampling method. Valid and reliable instruments i.e., Occupational Fatigue Exhaustion Recovery (OFER) and Pittsburgh Sleep Quality Index (PSQI) were used. Analysis was done using descriptive and inferential statistics. Results: The mean ±SD age of the participants was 26.54±6.93 years. Less than half (39.1%) of them had moderate to high acute fatigue. Nearly half (41.2%) had high chronic fatigue and most (61.6%) had low to moderate inter shift recovery. Poor sleep was found among 60.9% of the participants with mean global PSQI score of 6.74. Sleep quality had moderate positive correlation with chronic (r=0.4, p<0.001) and acute (r=0.39, p<0.001) fatigue whereas had moderate negative correlation with inter shift recovery (r=- 0.41, p<0.001) which were statistically significant. Conclusion: The staff nurses had fatigue and poor sleep during COVID-19 pandemic. Nursing administration should take appropriate measures timely to decrease fatigue and improve sleep to prevent serious consequences

Phytochemical, Nutritional, Antioxidant Activity and Sensorial Characteristics of Amala (Phyllanthus emblica L.) Chutney

This study was aimed to prepare amala (Phyllanthus emblica L.) chutney and to determine its phytochemicals and nutritional compositions, antioxidant activity and sensorial properties. The amala pulp and sugar were mixed separately at the proportion of 70:30, 60:40, 50:50, 40:60 and 30:70 and labeled as samples A, B, C, D and E respectively. Sample A exhibited highest tannins, total polyphenols, flavonoids content and percent DPPH inhibition (198.9 mg GAE/g, 606 mg GAE/g, 153.47 mg QE/g and 61.67% respectively), and sample B exhibited highest ascorbic acid content (325.4 mg/100g) among the chutney samples. The crude proteins, crude fat, crude fiber, total ash and moisture content were higher (2.1%, 0.328%, 5.03%, 1.73% and 51.17% respectively) in sample A. The carbohydrate content and energy value were higher (66.16% and 267.9 Kcal/100 g respectively) in sample E. Total sugar, TSS and pH (75.93%, 60.3 °Bx and 4.56 respectively) was higher in sample E while acidity (1.21% as citric acid) was high in sample A. Most of the sensory attributes were significantly higher (

Malignant rectal GIST managed with chemotherapy (Imatinib Mesylate): A case report and a comprehensive review

Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors involving the gastrointestinal tract, arising from the interstitial cells of Cajal. GIST comprises about 1% of all GI tumors. Rectal GISTs are rare and comprise of approximately 5% of all GISTs and only 0.1% of rectal tumors are found to be GISTs. Rectal GISTs may be diagnosed incidentally or present with symptoms, including defecation problems, bleeding, and/or pain. We report a case of a 46-year-old male with rectal GIST metastasized to the liver and bilateral lung parenchyma managed by Imatinib Mesylate (IM) regimen. Rectal GIST although being rare, must be considered as a differential diagnosis in a patient presenting with defecatory problems with bleeding

Production and Profitability of Hybrid Rice Is Influenced by Different Nutrient Management Practices

The government of Nepal has recommended blanket fertilizer application for rice cultivation, which results in lower nutrient use efficiency (NUE) particularly under rainfed conditions. With the aim of finding an appropriate nutrient management practices concerning rice production and profitability, a field experiment was conducted during rainy season of 2017 and 2018 at Kavrepalanchowk and Dang district of Nepal. Altogether, five treatments comprising various nutrient management practices viz. Nutrient Expert Model (NE), use of Leaf Color Chart (LCC), Government Recommended Fertilizer Dose (GON), Farm Yard Manure (FYM), and Farmers’ Field Practice (FFP), were laid out in RCBD with four replications in farmers’ fields. The analysis of variance showed significant difference between treatments for test weight and grain yield in Kavrepalanchowk whereas all traits except number of effective tillers were significant in Dang. The significantly higher grain yield and harvest index were obtained in NE, followed by LCC; and the overall straw yield was highest in LCC, followed by NE in both the locations. Also, yield gap analysis suggested the NE had 44.44% and 23.97% increase in yield as compared to FPP in Kavrepalanchowk and Dang, respectively. The combined analysis with Best Linear Unbiased Estimator revealed the interaction of nutrient management and location significantly effects the straw yield and harvest index across both the locations. The estimated mean straw yield and harvest index were 10.93 t/ha and 34.98%, respectively. Both correlation study and biplot of principal component analysis signaled grain yield had positive correlation with all other traits. Furthermore, the net revenue was maximum for NE, followed by LCC in both the locations. The benefit: cost ratio was highest for NE which was 1.55 in Kavrepalanchowk and 2.61 in Dang. On the basis of these findings, NE and LCC can be effectively used as nutrient management practice by the farmers to obtain maximum production and profitability in Rice

Production and Profitability of Hybrid Rice Is Influenced by Different Nutrient Management Practices

The government of Nepal has recommended blanket fertilizer application for rice cultivation, which results in lower nutrient use efficiency (NUE) particularly under rainfed conditions. With the aim of finding an appropriate nutrient management practices concerning rice production and profitability, a field experiment was conducted during rainy season of 2017 and 2018 at Kavrepalanchowk and Dang district of Nepal. Altogether, five treatments comprising various nutrient management practices viz. Nutrient Expert Model (NE), use of Leaf Color Chart (LCC), Government Recommended Fertilizer Dose (GON), Farm Yard Manure (FYM), and Farmers’ Field Practice (FFP), were laid out in RCBD with four replications in farmers’ fields. The analysis of variance showed significant difference between treatments for test weight and grain yield in Kavrepalanchowk whereas all traits except number of effective tillers were significant in Dang. The significantly higher grain yield and harvest index were obtained in NE, followed by LCC; and the overall straw yield was highest in LCC, followed by NE in both the locations. Also, yield gap analysis suggested the NE had 44.44% and 23.97% increase in yield as compared to FPP in Kavrepalanchowk and Dang, respectively. The combined analysis with Best Linear Unbiased Estimator revealed the interaction of nutrient management and location significantly effects the straw yield and harvest index across both the locations. The estimated mean straw yield and harvest index were 10.93 t/ha and 34.98%, respectively. Both correlation study and biplot of principal component analysis signaled grain yield had positive correlation with all other traits. Furthermore, the net revenue was maximum for NE, followed by LCC in both the locations. The benefit: cost ratio was highest for NE which was 1.55 in Kavrepalanchowk and 2.61 in Dang. On the basis of these findings, NE and LCC can be effectively used as nutrient management practice by the farmers to obtain maximum production and profitability in Rice