scholarly journals The predictive effect of Indian diabetes risk score in diagnosing diabetes among medical students in a tertiary care hospital - A cross sectional study

2019 ◽  
Vol 11 (3) ◽  
pp. 104-107
Author(s):  
Priyatharshini M ◽  
◽  
Muraliswaran P ◽  
D V Satyamurthy G ◽  
◽  
...  
2021 ◽  
Vol 59 (236) ◽  
Author(s):  
Priyanka Shah ◽  
Alisha Sapkota ◽  
Anjeel Chhetri

Introduction: Medical students are prone to develop stress, anxiety and depression owing to vastness of curriculum, hectic lifestyle, economic burden, and competitiveness of medical field. The study aims to find out the prevalence of depression, anxiety, and stress among first-year medical students. Methods: A descriptive cross-sectional study was conducted among 91 first-year students of Bachelor of Medicine and Bachelor of Surgery enrolled in a tertiary care hospital using depression, anxiety, and stress-42 scale along with a questionnaire regarding sociodemographic and stressors for their problems. Whole sampling was done and the study was conducted between June and July 2018 after taking ethical approval from the Research and Institutional Review Committee (Reference Number: 57-074/075). Results: The highest prevalence among undergraduate medical students was found to be anxiety 54 (59.3%), followed by stress 41 (45.1%) and depression 40 (44%). Conclusions: Almost half of the first-year medical students reported some level of depression, anxiety, or stress. It is important to implement programs in the early years of the medical school from the administrative level to help and identify students suffering from depression, anxiety, and stress.


Author(s):  
Aditya Pandey ◽  
Amit Patel

Background: Diabetes mellitus is a major public health problem which affects all age groups and has now been identified in young. Indian diabetes risk score (IDRS), devised and developed by Mohan et al. at the Madras Diabetes Research Foundation, is a validated tool to identify individuals with high risk of developing type 2 diabetes mellitus.Methods: Present cross-sectional study was conducted among medical students of a medical college in Jhansi from June 2021 to September 2021. A semi-structured interview schedule for socio demographic details of subjects like age, gender, education/occupation of parents and physical activity. Written informed consent was taken. Statistical analysis used was SPSS trial version was used for data analysis. P<0.05 was considered as statistically significant.Results: A total of 300 medical students were included in the study. IDRS categorization revealed 10 (3.3%) respondents had score >60 (high risk) and 84 (28%) respondents had score between 30-50 (moderate risk). While 206 (68.6%) respondent had score <30 (low risk).Conclusions: Our study supports the use of IDRS method as screening of diabetes at mass level as it is cost effective as well as time saving procedure.


Author(s):  
Alisha Johnson ◽  
Sruthi M. Valsan

Background: Alertness and ability to perform vary as functions of homeostatic factors such as sleep duration, sleep quality, and time awake. As far as medical students are concerned, alertness during the lectures is important due to their vast curriculum, and their alertness aids in the development of better doctors in their future. Though the importance of sleep is known, there is scarcity of studies on how adequate sleep among medical students affects their alertness during lecture classes. The aim was to study effect of sleep duration on alertness among medical students from a tertiary care hospital in Thrissur district, Kerala.Methods: A cross-sectional study was conducted among undergraduate medical students and alertness was assessed following afternoon lecture classes, using a Stanford sleepiness scale questionnaire. The sample size was calculated with a formula 4PQ/d2 and total 202 undergraduate students were included. The data regarding overnight sleep duration and post lunch nap was also collected using a semi-structured questionnaire.Results: Based on stanford sleepiness scale 66.3% of students were alert and responsive, 29.2% were not alert and only 4.5% of students were sleepy following afternoon lecture classes. Out of total 202 undergraduate students 43.6% of them had poor overnight sleep and only 32.7% had taken post lunch nap. There was a statistically significant association between alertness and post lunch nap (p=0.01).Conclusions: Those students who had good overnight sleep and post lunch nap had better alertness during lecture classes.


Vacunas ◽  
2020 ◽  
Vol 21 (2) ◽  
pp. 95-104 ◽  
Author(s):  
Y.M. AlGoraini ◽  
N.N. AlDujayn ◽  
M.A. AlRasheed ◽  
Y.E. Bashawri ◽  
S.S. Alsubaie ◽  
...  

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