A study of correlation between body mass index and cognitive performance of undergraduate medical students

Author(s):  
Amruta Kumbhar ◽  
Padmaja Desai
Author(s):  
Tazeen Khan ◽  
Zahid A. Khan ◽  
Sonia Kochhar ◽  
Baljinder Singh ◽  
Gurdev L. Goyal ◽  
...  

Background: Low hemoglobin concentration and unfeasible body mass index adversely affect the health of people, consequently increasing morbidity and mortality among them. Hemoglobin concentration among individuals is associated with their body mass index. The prevalence of iron deficiency anemia is higher among underweight and overweight/obese people compared to those with normal BMI. Thus, the present study aimed to determine the correlation between hemoglobin concentration and BMI of undergraduate medical students.Methods: A cross-sectional study was carried out among 210 undergraduate medical students. Body mass index was calculated and hemoglobin estimation was done by Sahli's hemoglobinometer. Correlation between hemoglobin concentration and body mass index of subjects was assessed by Pearson’s correlation coefficient.Results: Underweight students had lowest mean hemoglobin concentration and the mean hemoglobin concentrations increased significantly (p<0.001) with increase in the BMI of subjects. A highly significant positive correlation (r=0.307, p<0.001) between BMI and hemoglobin concentration was observed. Further, significant positive correlation was observed among males (r=0.268, p=0.013), students with normal BMI (r=0.283, p=0.003) and overweight students (r=0.415, p=0.035) only.Conclusions: Hemoglobin concentration and BMI show a positive correlation, however this correlation tends to become negative in obese individuals. As both low hemoglobin concentration and unfeasible body mass index have detrimental effects on the health, diligent screening and management of both is essential for better outcome.


2021 ◽  
Vol 8 (12) ◽  
pp. 20-27
Author(s):  
Kavita Chandrahas Sane ◽  
Swapnali Kadam ◽  
Vrushali Kulkarni

Background and Aim: Anaemia is a major global health problem affecting all sections of the population. Adolescents are vulnerable to malnutrition and anaemia. Considering the ever rising burden of anaemia in our country, the present study was carried out to detect prevalence of anaemia in undergraduate medical students and to evaluate correlation between nutritional status and anaemia. Correlation between gender and anaemia was also analysed. Methods: Study was carried out in 60 students of I MBBS. Complete blood count was processed on automated haematology analyser. A peripheral blood smear was studied for cell morphology. Dietary history was taken by providing questionnaire and Body mass index (BMI) was calculated using standard protocol. Results were analysed using SPSS. Results: Anaemia was detected in 23.33% students with higher prevalence in female students (44%). Anaemia and its severity were significantly associated with gender. Overall 43.33% students were found to be malnourished. 19.23% of malnourished students were anaemic. 26.47% students with normal BMI were also found to be anaemic. There was no significant association of BMI with anaemia. Variations in values of red cell indices were detected in 08 non-anaemic students, leukocytosis with monocytosis in 01 non-anaemic student and thrombocytosis in 03 anaemic female students. Conclusion: Medical students should be regularly screened for anaemia. Dietary history should be combined with BMI for complete nutritional assessment. Education of students regarding consumption of balanced diet is necessary to prevent nutritional anaemia. Red cell indices should be used to detect anaemia even before fall in haemoglobin levels. Keywords: Anaemia, Body mass index, Haemoglobin, Red cell indices, RDW, Diet.


2021 ◽  
Vol 5 (3) ◽  
pp. 330
Author(s):  
Shabnam Rizvi ◽  
Fareha Khatoon ◽  
Ayesha Ahmad ◽  
Kashish Ayaz Khan ◽  
Ekta ◽  
...  

Objective: Menstrual disorders constitute one of the major problems faced by medical students globally. Amongst the various factors attributed as causative factors in menstrual cycle variations, include body mass index [BMI] is the most easily modifiable factor. As we still do not have clear answers, this study was planned to study the association of menstrual disorders with BMI.Methodology: This is a cross sectional study, done in undergraduate female medical students in the age group of 18 to 30 years. Exclusion criteria included pregnancy, breast feeding, <12 months post-partum, <6 months post abortion/miscarriage, concomitant medical disorders and intake of hormonal medication. Data was collected for socio-demographic variables, detailed menstrual history, obstetric and medical history. Examination recorded anthropometric details, hirsutism, acne, any signs of virilization. Menstrual cycle variables were studied for their association with BMI.Results: A total of 254 students participated in the study with an average age of 23.9 years. Dysmenorrhea was globally found. Majority of cases were mild dysmenorrhea. Premenstrual syndrome [PMS] was seen commonly, commonest symptoms being mood swings and abdominal cramps. There was no association between mean menstrual blood loss [MBL], PMS and BMI and poor association with dysmenorrhea.Conclusion: Dysmenorrhea and PMS were very commonly seen and were not related to BMI. The mean MBL was independent of BMI. A rise in BMI had a positive association with cycle irregularity.International Journal of Human and Health Sciences Vol. 05 No. 03 July’21 Page: 330-335


Author(s):  
Tapaswini Mishra ◽  
Dipti Mohapatra ◽  
Manasi Behera ◽  
Srimannarayan Mishra

ABSTRACTObjective: Adequate sleep has been considered important for the adolescent’s health and well-being. On the other hand, self-imposed sleepcurtailment is now recognized as a potentially important and novel risk factor for obesity. The objective of the study is to find the association betweenshort sleep duration and obesity (by calculating the body mass index [BMI]) among medical students.Methods: The study was conducted on 100 medical students. A brief history of sleep duration was taken. The height and weight were taken and thebody mass index (BMI) was calculated by formula weight in kg / height in m. Based on the BMI criteria the students were classified into six groups:Underweight, normal, overweight, obese class I, obese class II and obese III. The waist circumference (WC) was also taken. The data obtained werestatistically analysed by ANOVA test and the p < 0.5 was considered significant.2Results: The present cross-sectional study showed that there is an association between short sleep duration and obesity which was highly significant(p<0.001). This study also shows that there is an association between short sleep duration and waist circumference which was also highly significant(p<0.001).Conclusion: The present study observed a high association of short sleep duration among medical students of IMS and SUM Hospital and that shortsleep duration was significantly associated with increased risk of overweight and obesity. We should further investigate whether adults adopting ahealthy lifestyle with short sleep duration would improve their sleeping habits or not.Keywords: Sleep duration, Body mass index, Waist circumference, Obesity.


2020 ◽  
Vol 16 (1) ◽  
pp. 50
Author(s):  
Anung Putri Ilahika ◽  
Wiby Fahmi Wijaya

Growth and development is a continuous process in the process of reaching adulthood, including the teenage stage. The problem that is often faced is physical change. Adolescent physical changes that appear are the increase in height and weight which affects the Body Mass Index (BMI). Height is one of the important things in adolescent growth and development. which is affected by genetic and environmental factors. The peak of growth in adolescents is different between boys and girls, so the pattern of height and BMI are also different. The purpose of this study was to determine differences in adolescent height based on age groups and BMI in Medical Faculty of UMM. This research is a comparative study by taking a sample of 100 medical students of UMM who have an age range of 17-20 years. The data to be taken is height measured using a MIC scale health scale ratio ratio. The measurement results have a numerical scale with units of centimeters (cm). Body mass index (BMI) is an index obtained from the division of body weight with height2. The measurement results are stated in kg / m2. All data obtained will be analyzed using the ANOVA comparative test. ANOVA test results generated p value in the two groups of students> 0.05 which concluded that the mean height of the student body based on age and BMI was not significantly different (not significant) statistically for both men and women. The conclusion from this study there were no differences in adolescent height based on age groups and BMI among medical students of UMM.


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