Introduction: The prevalence of overweight and obesity is increasing these days. The adverse effect of obesity can be seen in different physiological functions. Relative fat mass is a newly identified parameter to estimate whole body fat. This study aimed to find out the prevalence of obesity among medical students of a medical college. Methods: A descriptive cross-sectional study was carried out among medical students of a medical college from 1 September 2021 to 30 January 2022. Ethical approval was taken from the Institutional Review Committee (Reference number: FNMC/539/078/79). Simple random sampling was done. Height was measured using a stadiometer and waist circumference was measured using non-stretchable tape. Relative fat mass was calculated using the relative fat mass equation. The data was categorised according to the distribution of fat mass. Point estimate and 95% Confidence Interval were calculated. Results: Out of 180 medical students, 57 (31.67%) (24.87-38.47, 95% Confidence Interval) were obese according to relative fat mass cut-off. The mean fat mass among male and female participants with high relative fat mass was 27.057±1.42 and 35.674±2.63 respectively. Conclusions: The prevalence of obesity was lower than in other studies done in similar settings.
Introduction Hand grip strength is used in evaluation of muscle strength and is also increasingly being used as an indicator for nutritional status. The maximum force applied voluntarily by the subject is called maximum handgrip strength, which is measured in kilograms. Muscular endurance is the ability of a muscle or muscle group to perform against a load for an extended period of time, measured in seconds. This study aims to correlate body mass index with handgrip strength and handgrip endurance in medical students. MethodsThis is a cross sectional, observational study which included 74 undergraduate students of Maharajgunj Medical Campus by convenient sampling method. Body mass index was calculated by Quetelet’s formula. Camry digital hand dynamometer was used to measure handgrip strength in the dominant hand in kilograms. Participants were instructed to hold dynamometer with maintained pressure of 30% of maximum handgrip strength for as long as possible to determine the handgrip endurance. Statistical analyses were performed with SPSS Statistics software. ResultsThe handgrip strength was more in males than females with a mean of 43.09±3.72 kg, while handgrip endurance was more in females with a mean of 123.60±50.65 sec. Positive correlation was seen between body mass index and handgrip strength (r=0.23 and p=0.045). Body mass index and handgrip endurance also showed positive correlation (r=0.34 and p=0.003). ConclusionSignificant correlation of body mass index with handgrip strength and handgrip endurance was seen in medical students.
INTRODUCTION: Mental health impact of COVID-19 is a well-known entity. Health science students are among the high risk groups for developing mental health issues due to lengthy and rigorous studies they undertake. This study aims to explore the mental health of health science undergraduate students of Maharajgunj Medical Campus, and Maharajgunj Nursing Campus during the COVID pandemic in Nepal. MATERIAL AND METHODS: A descriptive cross-sectional study was conducted from February 2021 to July 2021 using convenience sampling technique using Nepali version of DASS-21 to undergraduate health science students of Maharajgunj Medical Campus and Maharajgunj Nursing campus. RESULTS: Out of 164 participants, depression, anxiety and stress was seen in 43%, 33% and 29% respectively. Females showed more depression (47.6%) and anxiety (38.8%) and stress (32%) as compared to males CONCLUSION:Mental health of health science students is adversely affected during the COVID-19 pandemic.
Introduction Worldwide pandemic of COVID 19 and its confinement has affected in some way the physical and behavioral aspect of every individual. Health science students are generally known to have reduced physical activity and decreased sleep duration. During the COVID pandemic health science students may adapt different health behavior because of their knowledge about the healthy behaviors. This study aims to explore the physical and behavioral health of health science students of Maharajgunj Medical Campus, and Maharajgunj Nursing Campus during COVID pandemic in Nepal. Methods A descriptive cross-sectional study was conducted from February 2021 to June 2021 using self-structured questionnaires to examine the students in two domains (i) Physical health (ii) Behavioral health. A convenience sampling was used. 146 students were enrolled in the study. Statistical analysis was done using SPSS version 25. Results The study revealed that 63% of the participants exercised during the pandemic. Majority of the female participants had change in eating pattern (65%) and sleeping pattern (60.3%) while majority of male reported no change in eating pattern (52.4%) and sleeping pattern (60.3%). Majority of both males (70%) and females (85.2%) consumed nutritious food during the pandemic. 98.8% females and 100% males used face mask and maintained physical distance while outdoor. Fewer participants with cough and fever (64.9%) self-isolated while majority used face mask (97.3%), covered mouth while coughing (94.6%) and maintained physical distance (81.1%). Conclusion COVID pandemic was known to affect the physical health of health science students and they also adapted different behaviors during the pandemic.
Introduction: Differential leukocyte is a frequently ordered laboratory test. It is the percentage distribution of types of leukocytes on a stained film. There are two methods to determine differential leukocyte count which are manual and automated. Manual method is considered the gold standard and is used to validate differential counts obtained by automated method. The comparative knowledge about the different methods to determine differential leukocyte count may guide us to use of proper method to determine the differential count more accurately and in a shorter time. The study aims to compare differential leukocyte count of normal blood samples by manual and automatic methods. Materials and methods: A cross-sectional, analytical study was conducted in laboratory of Kasturba Hospital, Manipal. A total of 347 blood samples of adults that did not show abnormalities in automatic analyzer were included in the study by purposive sampling method. Blood smears for manual count were prepared by Leishman’s stain. Results: A significant difference was observed between manual and automated leukocyte differential counts in 100 and 200 cells per specimen in neutrophils, lymphocytes, monocytes, eosinophils and basophils. Conclusions: The study concludes the need of improving accuracy and reliability of the automated methods. A reference range generated by further studies could help provide more accurate determination of differential leukocyte count.
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