Food addiction
Food addiction and
Order Description
Food addiction:
Introduction:
Obesity has in" rel="nofollow">increased dramatically….. some numbers in" rel="nofollow">in the world and
Food addiction behavior was lin" rel="nofollow">inked to weight gain" rel="nofollow">in in" rel="nofollow">in obesity .
Internationally, Yale Food Addiction Scale (YFAS) have been used widely to sees this behavior.
In a study Kirrilly, et al (2015) found that 14.7% of 462 subjects (86% female and 73% normal weight) diagnosed as food addition. the % of FD in" rel="nofollow">in women more than in" rel="nofollow">in men in" rel="nofollow">in this study, p=0.01. FD also associated with higher BMI compare with those who had no FD p<0.001.
please use the systematic review on food addiction for Kirrilly, Pursey and Collin" rel="nofollow">ins. I summaries the most relative papers to my order from this systematic review.
The aim of the current study are as follow:
1) The prevalence of food addiction in" rel="nofollow">in men and female participants
2) To describe the relationship between Food addiction and weight status (underweight, normal, …)
3) To in" rel="nofollow">investigate the relationship between macronutrients or Food items and food addition.
4) To compare between the food addiction prevalence in" rel="nofollow">in men and women if we have enough data.
5) To compere between Food addition prevalence in" rel="nofollow">in two different areas if we have enough data.
If We aim to two papers I thin" rel="nofollow">ink we can have:
• the first paper with aim one and 2.
• The second paper may be prevalence in" rel="nofollow">in women and food in" rel="nofollow">intake items
• Or number 5 if we have enough data.
Methods:
The survey will be as follow
• Age
• Sex:
• Marital status
• Smokin" rel="nofollow">ing status
• Weight and Hight (self-report)
• Dietary assessment ( to obtain" rel="nofollow">in data about food in" rel="nofollow">intake and then analysis it to macronutrients )
• Food addiction (Yale Food Addiction Survey) = 25 Q
• Physical activity Q
Population
The criteria:
• Age ?19 years old
• Both men and women
• Currently not pregnant
• Only for our people or those who born in" rel="nofollow">in home
• Not havin" rel="nofollow">ing type 2 diabetes or CVD.
Statistical analysis:
Covariables are sex, age, smokin" rel="nofollow">ing, physical activity and BMI.
Weight will classified to 1) underweight/normal weight and 2)overweight/ obese usin" rel="nofollow">ing the WHO BMI defin" rel="nofollow">inition.
But what we need to thin" rel="nofollow">ink about the test for the study for example are we are goin" rel="nofollow">ing to use the t-test or lin" rel="nofollow">iner regression
If the data normal distribution will use the mean and SD for describe the variables but what about if the data not normally distributed
The timelin" rel="nofollow">ine:
The aim/months January Feb March April May June
Design the study
Obtain" rel="nofollow">in the ethical approval
Gather the survey
Analyss the results
Writin" rel="nofollow">ing up the discussion
Submit the papers
Writ up the second paper