Alicia Loh Hui Ling, 073252E
Josephine Ann Ramachandran, 070689W
Nor Safuha Binte Roslan, 071662C
Nur Shakila Binte Zalani, 073178Y
Seah Hui Ming, 071879Z
S Ahmad Shazaly Bin BSA, 072672Y
04 January 2009
GROUP MEMBERS
Alicia Loh Hui Ling, 073252E
Josephine Ann Ramachandran, 070689W
Nor Safuha Binte Roslan, 071662C
Nur Shakila Binte Zalani, 073178Y
Seah Hui Ming, 071879Z
S Ahmad Shazaly Bin BSA, 072672Y
Hello Everyone. :)
Welcome to our statistics blog!!!
We are subgroup 1 from Gp 12. You may view the pictures above to know who we are. And also, thank you for spending your time to view our blog. Hope you find our blog interesting and can learn something from there. We're glad to receive any comments or feedback to improve further on. :) Just leave your comments at the tagboard.
It's fun and challenging to present your ICA in a form of blog. Hope you'll like it!!!
Welcome to our statistics blog!!!
We are subgroup 1 from Gp 12. You may view the pictures above to know who we are. And also, thank you for spending your time to view our blog. Hope you find our blog interesting and can learn something from there. We're glad to receive any comments or feedback to improve further on. :) Just leave your comments at the tagboard.
It's fun and challenging to present your ICA in a form of blog. Hope you'll like it!!!
Literature Review.
European Journals of Clinical Nutrition, November 1998, Volume 52, Number 11, Pages 779-783
Research Topic :
Relationship between body fat and body mass index: differences between Indonesians and Dutch Caucasians.
Researcher :
S Gurrici, Y Hartriyanti, J G A J Hautvast and P Deurenberg.
School of Public Health, Gedung D Lt.II, University of Indonesia, Depok, Indonesia
Purpose:
Is to study the relationship between percentage of body fat and body mass index (BMI) in two different ethnic groups (Indonesians and Caucasians) in order to evaluate the validity of the BMI cut-off points for obesity.
Design:
Cross-sectional study.
Measurements:
Body weight, body height, body fat by deuterium oxide dilution and skinfold thickness.
Results:
Body fat could be well predicted by body mass index (BMI) and sex in the Indonesians and by BMI, sex and age in the Dutch with a prediction error of 3.6 and 3.3% for the two populations. Although the body mass index in the Indonesian group was about 2 kg/m2 lower compared to the Dutch, the amount of body fat was 3% points higher. Because of the small differences between the age group, weight and height and the differences in body fat were corrected for this (ANOVA). Indonesians having the same weight, height, age and sex have generally 4.8% points more body fat compared to Dutch. Indonesians having the same % body fat, age and sex have generally a 2.9 kg/m2 lower BMI compared to the Dutch.
Conclusions:
The results show that the relationship between percentage of body fat and BMI is different between Indonesians and Dutch Caucasians. If obesity is regarded as an excess of body fat and not as an excess of weight (increased BMI), the cut-off points for obesity in Indonesia based on the BMI should be 27 kg/m2 instead of 30 kg/m2.
Website : http://www.nature.com/ejcn/journal/v52/n11/abs/1600637a.html
Research Topic :
Relationship between body fat and body mass index: differences between Indonesians and Dutch Caucasians.
Researcher :
S Gurrici, Y Hartriyanti, J G A J Hautvast and P Deurenberg.
School of Public Health, Gedung D Lt.II, University of Indonesia, Depok, Indonesia
Purpose:
Is to study the relationship between percentage of body fat and body mass index (BMI) in two different ethnic groups (Indonesians and Caucasians) in order to evaluate the validity of the BMI cut-off points for obesity.
Design:
Cross-sectional study.
Measurements:
Body weight, body height, body fat by deuterium oxide dilution and skinfold thickness.
Results:
Body fat could be well predicted by body mass index (BMI) and sex in the Indonesians and by BMI, sex and age in the Dutch with a prediction error of 3.6 and 3.3% for the two populations. Although the body mass index in the Indonesian group was about 2 kg/m2 lower compared to the Dutch, the amount of body fat was 3% points higher. Because of the small differences between the age group, weight and height and the differences in body fat were corrected for this (ANOVA). Indonesians having the same weight, height, age and sex have generally 4.8% points more body fat compared to Dutch. Indonesians having the same % body fat, age and sex have generally a 2.9 kg/m2 lower BMI compared to the Dutch.
Conclusions:
The results show that the relationship between percentage of body fat and BMI is different between Indonesians and Dutch Caucasians. If obesity is regarded as an excess of body fat and not as an excess of weight (increased BMI), the cut-off points for obesity in Indonesia based on the BMI should be 27 kg/m2 instead of 30 kg/m2.
Website : http://www.nature.com/ejcn/journal/v52/n11/abs/1600637a.html
Project Question : Is a person's BMI related to his weight?
The two variables : BMI and weight.
Why we chose this two variables??
Firstly, to calculate a person's BMI, its important that we need the height and weight of that person. Without either the height or the weight, we are unable to calculate the BMI of that person.
To calculte BMI :
weight
-----------------------------------
Height(metres) x Height(metres)
*weight divided by height (m) multiply height (m)
Example. Tom's height is 1.70metres and weight is 63kg.
BMI :
63kg
---------------
(1.70 x 1.70)
= 21.8
What is the hypothesis?
Null hypothesis :
There is no significant relationship that a person's BMI is related to his weight.
Research hypothesis :
There is a significant relationship that a person's BMI is related to his weight.
The two variables : BMI and weight.
Why we chose this two variables??
Firstly, to calculate a person's BMI, its important that we need the height and weight of that person. Without either the height or the weight, we are unable to calculate the BMI of that person.
To calculte BMI :
weight
-----------------------------------
Height(metres) x Height(metres)
*weight divided by height (m) multiply height (m)
Example. Tom's height is 1.70metres and weight is 63kg.
BMI :
63kg
---------------
(1.70 x 1.70)
= 21.8
What is the hypothesis?
Null hypothesis :
There is no significant relationship that a person's BMI is related to his weight.
Research hypothesis :
There is a significant relationship that a person's BMI is related to his weight.
Target Population
- Total : 40 people
- 26 females and 14 males
- Ages between 18 - 30 years old
- Participants were selected by accidental sampling in NYP compund.
- Participants can be of any race.
- Participants should not have any deformities or growth retardation.
Subscribe to:
Comments (Atom)
