High Fat vs High Protein and Appetite Hormones

The study's inclusion criteria will be encompassed women aged between 30 and 40 years, with a body mass index (BMI) ranging from 25 to 35 kg/m². These individuals engaged in light exercise 1-3 times per week (activity factor 1.375) and adhered to a routine of consuming three regular meals, along with two daily snacks, and maintaining a water intake of eight cups and do not have allergies to nuts or yogurt. All participants should adhere to a 1200 kcal diet plan, which included breakfast, snack 1, lunch, snack 2, and dinner. This diet plan will remain consistent for all participants over a consecutive three-day period, except for the snacks that will be provided during the second visit. The specific snack assigned to each participant will be determined based on a predetermined randomization list. The first experimental group (n=26) will receive a high-protein snack in the form of plain Greek yogurt, while the second experimental group (n=26) will receive a high-fat snack in the form of peanuts. Prior to intervention, in the first visit all anthropometric and body composition assessments will be performed. On the second visit which will be scheduled after three days of adhering to the 1200 Kcal diet, all participants should arrive at the clinic at 1:00 pm and they should had their breakfast at home at 9:00 am. Upon arrival, a baseline blood samples from each participant will be collected. At 1:00 pm, participants in the plain Greek yogurt and peanut groups will consume their assigned snacks. Following snack consumption, a validated visual analog scale (VAS) questionnaire will be distributed to assess sensations and appetite levels at 0 minutes (1:00 pm), 30 minutes (1:30 pm), and 60 minutes (2:00 pm). One hour after their arrival, at 2:00 pm, a second blood sample will be collected from all participants. Serum samples will be used to analyze the Ghrelin, PYY, CCK, Glp-1 and insulin using human ELISA kits. Statistical analysis will be performed after data entry using the SPSS statistical software. Prior to analysis data will be tested for normality. Descriptive statistics for continuous (means± SD) and categorical variables (frequencies and percentages) along with analytical statistics including t-test for paired and unpaired means and the repeated measures for the general linear model will be performed too. P \< 0.05 will consider significant.