scholarly journals Unfeasible body mass index and its association with low haemoglobin concentration: a correlation study among undergraduate medical students

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.

2020 ◽  
Vol 42 (3) ◽  
pp. 57-61
Author(s):  
Lava Shrestha ◽  
Sanyukta Gurung ◽  
Neeti Bhat ◽  
Narayan B Mahotra ◽  
Mahesh M Bajimaya ◽  
...  

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.


2020 ◽  
Vol 28 (1) ◽  
pp. 60-66
Author(s):  
Tabassum Ghani ◽  
Subinoy Krishna Paul ◽  
Afrina Begum ◽  
Noorjahan ◽  
Mandira Sarkar ◽  
...  

Menopause is commonly associated with rapid bone loss and this bone loss manifests as a significant decrease in bone mineral density (BMD). Body weight or body mass index is the most important factor which influences BMD. Aim of this study was to evaluate the association between BMI and BMD in post menopausal women. Also to measure the correlation between age, duration of menopause, weight with BMD. This cross-sectional study was undertaken in the Department of Obstetrics and Gynaecology in Dhaka Medical College Hospital, Dhaka from January, 2012 to December, 2012. The study included women of 50 to 70 years who had menopause with three or more parity. Total 100 women were evaluated by history taking, physical examination and laboratory investigation (BMD).The results showed that there was significant positive correlation between BMI and BMD value of L1-4 and total femur (Pearson‘s coefficient was +0.285, P<0.01 and +.350, P<.001). There was also significant positive correlation between weight and T- score of L1-4 (r =+ .482, P<.01) and Total femur (r = +.513, P< .01). In addition, significant negative correlation was found between BMD with age and duration of menopause. It can be concluded that in postmenopausal women as the BMI decreases bone mineral density also decreases. So, adequate weight and BMI necessary for the prevention of osteoporosis. J Dhaka Medical College, Vol. 28, No.1, April, 2019, Page 60-66


Author(s):  
Parikshit Ashok Muley ◽  
Karan Ramyank Thakkar ◽  
Praveen Kanaram Gehlot ◽  
Ashok Jaykumar Vankudre ◽  
Pranjali Parikshit Muley ◽  
...  

Introduction: There is a widespread prevalence of obesity and growing evidence suggests its possible adverse effect on cognitive functions. Hence, it is important to study the relationship between Body Mass Index (BMI) and Cognitive Functions. Aim: The aim of this study was to find out the association between BMI and cognitive functions in medical students. The present study also determined whether there are any gender based difference of association of BMI and cognitive functions. Materials and Methods: A cross-sectional study was done at Cognitive function test Laboratory of Dr. Vasantrao Pawar Medical College, Hospital and Research Centre, Nashik between July and December 2016. Study was done on randomly selected medical undergraduate students (50 male and 50 females) of 18-25 years age group. Height and weight were recorded and subjects were divided into 3 groups based on BMI (in kg/m2) as: Underweight (BMI <18.5 kg/m2), Normal weight (BMI 18.5-25 kg/m2) and Overweight (BMI >25 kg/m2). In all the above BMI groups, four domains of cognitive functions were assessed i.e., attention, perception, executive functions and working memory using Visual and Auditory Reaction Time (VRT and ART) and Go/No-Go VRT and ART; Fast Counting (FC); Eriksen Flanker Test (EFT) and Stroop Test (ST) and Visual Forward (VFDS) and Backward Digit Span (VBDS) test, respectively. The data was statistically analysed and different cognitive function tests were compared in various categories of BMI (viz., underweight, normal and overweight) using ANOVA and Tukey HSD tests. Gender based association of BMI and cognitive functions were also assessed. The data was analysed statistically using SPSS version 16.0 and p-value <0.05 was considered to be significant. Results: On comparing the cognitive functions with BMI, it was found that when whole study population was considered, the difference in time taken by subjects of different BMI categories to give response in VBDS test was found to be statistically significant (p=0.007). When the gender differences were analysed, it was found that in males, the time taken to give response to stimuli with interference (ST) in various BMI categories was statistically significant (p=0.004) and in females, the time taken to give response in VBDS test in various BMI categories was found to be statistically significant (p=0.024). The correlation between the reciprocal of time taken to give response in ST and VBDS and BMI was a weak positive correlation (0.3 < r < 0.5). Conclusion: A weak positive correlation was found between BMI and reciprocal of time taken to give response to stimulus with interference in males and BMI and reciprocal of time taken to give response in VBDS Test in Females.


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

ABSTRACTObjective: Dysmenorrhea is a condition, in which there is a severe, painful, cramping sensation in the lower abdomen which occurs just before orduring the menses. It has a major impact on the quality of life and social and occupational roles of females in the society. It also results in insignificantwork, school, and college absences in girls. As previous studies have failed to show a definite relation between dysmenorrhea and body massindex (BMI), the aim of our study was to find out an association between BMI and dysmenorrhea among medical students.Methods: The study was conducted on 200 medical students. Each one was supplied with a questionnaire with detailed menstrual history, familyhistory of dysmenorrhea, and detailed H/O of physical exercise and dietary habits. BMI was calculated by the formula weight in kg/height2 in meter,and based on the BMI criteria by the World Health Organization, the students were classified into four groups: Underweight, normal, overweight, andobese groups. The data obtained were statistically analyzed by Pearson Chi-square test, and p<0.5 was considered significant.Result: From our study, we found out that there is a positive correlation between dysmenorrhea and low BMI.Conclusion: As there is a positive correlation between BMI and dysmenorrhea, our aim was to educate people about dysmenorrhea and createawareness on diet and dysmenorrhea to assist in improving the quality of life in females.Keywords: Dysmenorrhea, Body mass index, Quality of life.


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.


Sign in / Sign up

Export Citation Format

Share Document