The Relationship Between Delay and Social Discounting, and Body Mass Index in University Students

2018 ◽  
Vol 68 (4) ◽  
pp. 441-449 ◽  
Author(s):  
Katherine Wainwright ◽  
Breanna E. Green ◽  
Paul Romanowich
Curationis ◽  
2008 ◽  
Vol 31 (1) ◽  
Author(s):  
P Bodiba

The study investigated the relationship between body mass index and self-concept among adolescent black female university students. The study used a mixed research design (quantitative and qualitative methods). Media images of handsome faces and beautiful bodies are used to sell almost everything, from clothes and cosmetic to luncheon, meats, and so on. These images reinforce the western cultural stereotype that women should be thin and shapely to be attractive. Thus, as some girls go through puberty they may become dissatisfied with their weight, and to a lesser extent, with their shape, thus, developing low self-concept or imae of themselves. It is in this context that the study was conceptualised.


2019 ◽  
Vol 29 (3) ◽  
pp. 33149
Author(s):  
Deivendran Kalirathinam ◽  
Tan Xin Hui ◽  
Swapneela Jacob ◽  
Sathish Kumar Sadagobane ◽  
Martin Ebenezer Chellappan

AIMS: Screen time has been proven to be associated with overweight and obesity among pediatric. However, the relationship between these two variables has not been confirmed among university students in Malaysia who are having increasing screen time. Hence, this study is conducted to examine the association between screen time and body mass index (BMI) among university students.METHODS: A total of 390 university students (female=236, male=154) with a mean age of 20.17 years old were involved in this study. They completed the Screen Time Based Sedentary Behaviour Questionnaire for total screen time assessment. Body height and weight were measured to calculate body mass index (BMI).RESULTS: Prevalence of overweight and obesity were not high among university students (12.3% and 4.4%). Male subjects have generally higher BMI compared to female subjects. The smartphone was the most common device owned by subjects (33%). The screen time of subjects was high as there were 97.4% of subjects fell under the category of high screen time (> 2 hours). However, screen time was not significantly associated with BMI (p=0.36). The only variable which associated with screen time was the devices owned by subjects (p=0.001).CONCLUSIONS: Screen time was not significantly associated with BMI among university students. Future study should include the relationship of other factors on BMI among university students.


2020 ◽  
Vol 19 (2) ◽  
Author(s):  
You HW ◽  
Tan PL ◽  
Mat Ludin AF

INTRODUCTION: Physical activity is an essential element in our daily life that leads to long-term health benefits. Physical activity refers to movement of the body that requires energy. Body mass index (BMI) indicates a ratio of body weight to squared height, which is a useful health indicator. On the contrary, body composition describes the body by measuring percentages of fat and muscle in human bodies. MATERIALS AND METHODS: This cross-sectional study aimed to determine the relationship between physical activities, BMI and body composition among pre-university students from one of the universities in Selangor, Malaysia. Stratified random sampling was employed to recruit 70 pre-university students into this study. RESULTS: From the study, 50% of the respondents are categorized as minimally active. In addition, there is significant difference between the physical activity levels of male and female respondents. The relationship between physical activity and BMI indicates a very weak negative correlation. Similarly, the correlation between physical activity and fat mass is a weak negative relationship. Meanwhile, there is a weak positive correlation between physical activity and muscle mass. CONCLUSION: Therefore, it can be concluded that when physical activity increases, BMI and body fat mass will decrease, while muscle mass will increase. Moreover, it was shown that there was a significant relationship between physical activity and body composition. 


2020 ◽  
Vol 8 (B) ◽  
pp. 20-25
Author(s):  
Sayed Tantawy ◽  
Nada Ikram Karamat ◽  
Rana Sulaiman Al Gannas ◽  
Sara Abdulrahman Khadem ◽  
Dalia M. Kamel

BACKGROUND: Mood disorders such as generalized anxiety disorder (GAD), obsessive-compulsive disorders, and other mental disorders could be due to obesity which is a prevalent condition among majority of population nowadays, whereas changes in anxiety level of individuals are also thought to have an influence on body mass index (BMI). AIM: The objective of the study was to investigate the relationship between BMI and anxiety status among Ahlia University students. METHODS: A total of 80 male and female students from different colleges of Ahlia University were included in our study. Their ages ranged between 18 and 25 years old with different BMI. The students were asked to fill a (GAD 7 scale) questionnaire related to anxiety level; their BMI was calculated. RESULTS: There was a significant relationship between BMI and anxiety status (negative correlation) (p < 0.019). CONCLUSIONS: We concluded that BMI is inversely proportional to anxiety level, the reduction in BMI level is linked with elevated anxiety level and vice versa.


1970 ◽  
Vol 25 (1) ◽  
pp. 9-13
Author(s):  
S Jahan ◽  
TR Das ◽  
KB Biswas

Background and Aims: Cord blood leptin may reflect the leptinemic status of a newborn at birth more accurately than the leptin values of blood collected from other sites. The present study was undertaken to determine the relationship of cord serum leptin concentration at birth with neonatal and maternal anthropometric parameters. Materials and Methods: Blood was taken from the umbilical cord of the babies at delivery. Maternal anthropometric measurements were recorded at admission for delivery. Neonatal anthropometric measurements were recorded within 48 hours after delivery. Linear regression analysis was used to explore the relationship between cord serum leptin concentration and anthropometric parameters of the baby and the mother. Both Serum leptin and serum C-peptide levels were measured by chemiluminescence-based ELISA method. Results: The leptin concentration (ng/ml, mean±SD) in cord blood was 39.13±14.44. Cord leptin levels correlated with birth weight (r=0.673, p<0.0001), ponderal index (r=0.732, p<0.0001) but it did not correlate with maternal body mass index, gestational age (r=0.135, p=0.349) at delivery or cord serum C-peptide concentration (r=-0.049, p=0.735) or placental weight (r=0.203, p=0.157). Conclusion: There are associations between cord leptin concentration at delivery and birth weight, ponderal index (PI) of the babies but not body mass index (BMI) of the mothers. High leptin levels of the baby could represent an important feedback modulator of substrate supply and subsequently for adipose tissue status during late gestation. (J Bangladesh Coll Phys Surg 2007; 25 : 9-13)


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