scholarly journals DIFFERENT BLOOD GROUPS; ASSOCIATION WITH BODY MASS INDEX IN MEDICAL STUDENTS OF KARACHI

2016 ◽  
Vol 23 (08) ◽  
pp. 1001-1004 ◽  
Author(s):  
Dr. Naila Parveen ◽  
Dr. Javeria Rehman ◽  
Dr. Syed Hafeezul Hassan ◽  
Dr. Zoya Hassan ◽  
Dr. Madiha Rehman
Keyword(s):  
Body Mass Index ◽  
Medical Students ◽  
Body Mass ◽  
Blood Groups

scholarly journals DIFFERENT BLOOD GROUPS

2016 ◽  
Vol 23 (08) ◽  
pp. 1001-1004
Author(s):  
Naila Parveen ◽  
Javeria Rehman ◽  
Syed Hafeezul Hassan ◽  
Zoya Hassan ◽  
Madiha Rehman
Keyword(s):  
Body Mass Index ◽  
Medical Students ◽  
Blood Group ◽  
Body Mass ◽  
Blood Groups ◽  
Blood Type ◽  
P Value ◽  
Cross Sectional ◽  
Blood Group A ◽  
Group A

Objectives: To find out the association of body mass index with different bloodgroups in medical students. Background: Increased body mass index leads to obesity and is aprominent risk factor for hypertension and diabetes. Blood groups are known to be associatedwith various diseases and recent studies have shown that a particular blood group with thehighest body mass index appeared to be more susceptible to predisposition to hypertension.Study Design: Cross-sectional study. Setting: Liaquat National Medical College, Karachi.Period: June 2015 to September 2015. Methodology: 181 medical students with 85 malesand 96 females and age ranging from 18-22 years. Weight and height of each student wasmeasured using the standard stadiometer and blood groups were determined using the antisera.Results: Mean age of the participants was 19.92 ± 1.10 years. Blood group “O” wasfound to be most prevalent (39.2%) while blood group “AB” was found to be the least (8.3%).Mean BMI of subjects with blood group A, B, AB and O were found to be 24.3 ± 5.04, 22.6 ±3.59, 23.0 ± 2.91 and 23.7 ± 4.20 kg/m2 respectively. The highest BMI was found in subjectswith blood group “A” 24.3 ± 5.04 kg/m2 and lowest in blood group “AB” 23.0 ± 2.91kg/m2. TheRhesus-D positive and male students had greater body mass index 23.6 ± 3.56 than females23.2 ± 3.44. Comparison of overall mean BMI values among different blood groups showedsignificant difference with p-value < 0.001. Conclusion: Blood group “A” and Rhesus-D positivesubjects especially males were found to be the high risk blood type with predisposition tomorbidity associated with increased body mass index.

scholarly journals Distribution and Association of ABO and Rh Blood Group Antigens with BMI Among Nepalese and Indian Students Studied in a Medical College of Nepal

2021 ◽  
Vol 17 (3) ◽  
pp. 265-278
Author(s):  
Kalipada Kar ◽  
Sujata Kar
Keyword(s):  
Body Mass Index ◽  
Medical Students ◽  
Blood Group ◽  
Body Mass ◽  
Blood Groups ◽  
Blood Group Antigens ◽  
Medical College ◽  
Indian Origin ◽  
Overweight Group ◽  
The Difference

Introduction: Blood group antigens and body mass index of human are gaining importance for many diseases. Some attempts were reported to find any relationship between BMI and Blood groups with some contradictions. The possible association between BMI and blood groups of Nepalese and Indian medical students is yet to be established. Methods: Blood groups, ABO and Rh systems and body mass index (BMI) of participants, medical students of Nepalese and Indian origin were determined and analyzed statistically. Results: The distribution frequencies of 10.56%, 17.08%, 3.06%, and 20.28% females and 9.03%, 16.39%, 3.61% and 20.0% males of both the countries were present in A, B, AB and O blood groups, respectively. Rh-negative participants were predominantly present in O blood group. The observed frequencies of participants with different BMI group were distributed as 56.11%, 24.72%, 10.69% and 8.47% in Normal, Overweight, Underweight and Obese groups, respectively. Underweight participants were prevalent in O group and in females. The difference between the distribution of Nepalese females and males with Normal BMI was found significant in A and O. A distribution pattern of B>O>A>AB was observed for Overweight group. The occurrence of Obese is few folds higher among Indian participants than Nepalese and prevalent in males. Obese participants were found more associated with B and O blood group. Conclusions: Participants with A were more prevalent among Nepalese in respect to Indian. Rh-negative participants were distributed as 1.67% and 5.0% in Nepalese and Indians, respectively and predominantly present in O (4.44%) and are more prevalent in Indian males. In Normal BMI Nepalese were significantly more as compared to Indians. In the Underweight group females were significantly more prevalent as compared to males and found maximally associated with O blood group and most of them are Nepalese. In Overweight group males were more than females. Participants with obesity were mostly present in B and O blood group and most of them are Indian.

ASSOCIATION BETWEEN SHORT SLEEP DURATION AND OBESITY IN MEDICAL STUDENTS

2016 ◽  
Vol 10 (1) ◽  
pp. 242 ◽  
Author(s):  
Tapaswini Mishra ◽  
Dipti Mohapatra ◽  
Manasi Behera ◽  
Srimannarayan Mishra
Keyword(s):  
Body Mass Index ◽  
Medical Students ◽  
Waist Circumference ◽  
Sleep Duration ◽  
Body Mass ◽  
Overweight And Obesity ◽  
The Body ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Obese Class

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.

scholarly journals Comparative Study About Youth Body Height by Age Group and BMI at Medical Faculty of UMM

2020 ◽  
Vol 16 (1) ◽  
pp. 50
Author(s):  
Anung Putri Ilahika ◽  
Wiby Fahmi Wijaya
Keyword(s):  
Body Mass Index ◽  
Medical Students ◽  
Comparative Study ◽  
Body Mass ◽  
Growth And Development ◽  
Continuous Process ◽  
Age Groups ◽  
Medical Faculty ◽  
The Body ◽  
Measurement Results

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.

scholarly journals Correlation of Body Mass Index with Handgrip Strength and Endurance of Dominant Hand in Medical Students

2020 ◽  
Vol 42 (3) ◽  
pp. 57-61
Author(s):  
Lava Shrestha ◽  
Sanyukta Gurung ◽  
Neeti Bhat ◽  
Narayan B Mahotra ◽  
Mahesh M Bajimaya ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Medical Students ◽  
Body Mass ◽  
Undergraduate Students ◽  
Handgrip Strength ◽  
Extended Period ◽  
Dominant Hand ◽  
Cross Sectional ◽  
Positive Correlation ◽  
Hand Dynamometer

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.

scholarly journals Caffeinated Drinks Intake, Late Chronotype, and Increased Body Mass Index among Medical Students in Chongqing, China: A Multiple Mediation Model

2018 ◽  
Vol 15 (8) ◽  
pp. 1721 ◽  
Author(s):  
Yangchang Zhang ◽  
Yang Xiong ◽  
Jia Dong ◽  
Tingting Guo ◽  
Xiaoman Tang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Medical Students ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Multiple Mediation ◽  
Depression Anxiety Stress Scale ◽  
Positive Role ◽  
Cross Sectional ◽  
The Impact

Background: This paper investigates the problems regarding caffeinated drinks intake, late chronotype, and increased body mass index (BMI) among medical students at a Chinese university. Methods: This cross-sectional study was conducted in 2018 with 616 medical students from Chongqing Medical University in Chongqing, China, whose information were collected by a self-reported questionnaire that included four sections: Demographic characteristics; Caffeinated drinks intake and physical state; Morningness-Eveningness Questionnaire; Depression Anxiety Stress Scale 21. Multiple mediation analyses were conducted to test the impact of late chronotype on increased BMI through caffeinated drinks consumption through two models. Results: The significantly mediated effect of caffeinated drinks consumption was revealed (estimate: −0.01, SE = 0.01, 95% CI [−0.02, −0.01]), and which played a positive role in linking late chronotype (B = −0.01, SE = 0.01, p < 0.001) and increased BMI (B = 1.37, SE = 0.21, p < 0.01), but their significant association did not be found in reversed model. In addition, physical activity and inactivity times demonstrated significant indirect effects in the two models. Conclusions: Interventions should focus on reducing caffeinated drinks intake and sedentary behavior time, enhancing physical activity among medical students.

Sign in / Sign up

Export Citation Format

Share Document