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 <front>
  <journal-meta>
   <journal-id journal-id-type="nlm-ta">Ulutas Med J</journal-id>
   <journal-title-group>
    <journal-title>The Ulutas Medical Journal</journal-title>
    <abbrev-journal-title>Ulutas Med J</abbrev-journal-title>
   </journal-title-group>
   <issn pub-type="ppub">2149-0430</issn>
   <issn pub-type="epub">2149-388X</issn>
   <publisher>
    <publisher-name>Hayriye Zehra Ulutaş</publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">10.5455/umj.20221223105724</article-id>
   <article-id pub-id-type="publisher-id">133643</article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>Original Article</subject>
    </subj-group>
    <subj-group subj-group-type="subject">
     <subject>Nutrition and Dietetics</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title>The Effect of Dietary Protein Quality on Short-Term Satiety and Daily Energy Intake</article-title>
   </title-group>
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      <surname>Arslan</surname>
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     <name name-style="western">
      <surname>Yaprak</surname>
      <given-names>Bulent</given-names>
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    <aff id="aff1">
     <label>1</label>
     <institution-wrap>
      <institution-id institution-id-type="ror">https://ror.org/03k7bde87</institution-id>
      <institution>Nutrition and Dietetic Department, Faculty of Health Sciences, Diclel University, Diyarbakır, Turkey</institution>
     </institution-wrap>
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     <label>2</label>
     <institution-wrap>
      <institution-id institution-id-type="ror">https://ror.org/01wntqw50</institution-id>
      <institution>Department of Nutrition and Dietetics, Faculty of Health Sciences, Ankara University, Ankara, Turkey</institution>
     </institution-wrap>
    </aff>
    <aff id="aff3">
     <label>3</label>
     <institution-wrap>
      <institution-id institution-id-type="ror">https://ror.org/00pkvys92</institution-id>
      <institution>Malatya Training and Research Hospital, Department of Internal Medicine, Malatya, Turkey</institution>
     </institution-wrap>
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   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2023-03-09">
    <day>09</day>
    <month>03</month>
    <year>2023</year>
   </pub-date>
   <pub-date publication-format="print" date-type="collection">
    <year>2023</year>
   </pub-date>
   <volume>9</volume>
   <issue>1</issue>
   <fpage>13</fpage>
   <lpage>23</lpage>
   <history>
    <date date-type="received" iso-8601-date="2022-12-23">
     <day>23</day>
     <month>12</month>
     <year>2022</year>
    </date>
    <date date-type="rev-recd" iso-8601-date="2023-01-03">
     <day>03</day>
     <month>01</month>
     <year>2023</year>
    </date>
    <date date-type="accepted" iso-8601-date="2023-01-08">
     <day>08</day>
     <month>01</month>
     <year>2023</year>
    </date>
   </history>
   <permissions>
    <copyright-statement>© 2023 The Author(s)</copyright-statement>
    <copyright-year>2023</copyright-year>
    <license>
     <ali:license_ref>https://creativecommons.org/licenses/by-nc/4.0/</ali:license_ref>
     <license-p>This is an open access article distributed under the CC BY-NC 4.0 licence.</license-p>
    </license>
   </permissions>
   <self-uri xlink:href="https://www.ulutasmedicaljournal.com/?mno=133643"/>
   <self-uri content-type="pdf" xlink:href="https://www.ulutasmedicaljournal.com/pdf/133643.pdf"/>
   <abstract>
    <p>Introduction: Some protein structures in the structure of foods are known to provide long-lasting satiety. Depending on the food source, this period of satiety can be shortened or lengthened. It has been reported that in diets for treating obesity in which long-term satiety is a goal, animal-derived proteins can help people feel fuller for longer. This study aimed to examine the effects on satiety markers after breakfast of consuming breakfast foods prepared with different protein sources. Materials and Methods: The study included 40 participants but concluded with 39 participants. Sixteen males and 23 females participated in the research. The participants in the study were randomly assigned to begin the investigation. After 12 hours of fasting, the study participants were offered two breakfasts on separate days. Two distinct breakfasts consisting of foods of animal origin and foods of vegetable origin were served. Results: The breakfasts had similar calories, protein, fat, carbohydrates, and fiber. Before and after breakfast, a VAS scale with seven satiety markers was created and applied. The scale was applied 0 minutes before breakfast, 30 minutes, 60 minutes, 120 minutes, and 180 minutes after breakfast. After breakfast, it was observed that the satiety markers of animal origin had a longer duration and higher scores than those of plant origin. Conclusion: In cases where energy restriction is necessary, it has been determined that increasing the protein quality in the foods consumed can provide long-term satiety regardless of the amount consumed.</p>
   </abstract>
   <kwd-group kwd-group-type="author">
    <kwd>Dietary protein</kwd>
    <kwd>satiety</kwd>
    <kwd>hunger</kwd>
    <kwd>energy intake</kwd>
   </kwd-group>
   <funding-group>
    <funding-statement>No financial support was provided from any institution or organization within the scope of the research.</funding-statement>
   </funding-group>
  </article-meta>
 </front>
 <body>
  <sec id="sec-1">
   <title>Introduction</title>
   <p id="b-1">According to the World Health Organization (WHO) (    <xref ref-type="bibr" rid="ref1">1</xref>
), more than 300 million people worldwide are obese. Obesity, typically caused by an imbalance between energy intake and expenditure, is a consequence of modern lifestyle factors such as a sedentary lifestyle, lack of physical activity, and poor diet (    <xref ref-type="bibr" rid="ref2">2</xref>
). The treatment of obesity, a significant public health issue, is constantly evolving and changing (    <xref ref-type="bibr" rid="ref2">2</xref>
,    <xref ref-type="bibr" rid="ref3">3</xref>
). Protein quality attracts as much attention as the amount of protein a person consumes in his daily diet, and it is reported that it is an issue that should be emphasized (    <xref ref-type="bibr" rid="ref4">4</xref>
–    <xref ref-type="bibr" rid="ref6">6</xref>
). Recent studies on treating obesity have highlighted the importance of increasing dietary protein intake. However, increasing dietary protein can be associated with numerous health issues (    <xref ref-type="bibr" rid="ref7">7</xref>
–    <xref ref-type="bibr" rid="ref10">10</xref>
). Therefore, it can be observed that the focus of research is shifting toward dietary protein quality. As sources of dietary protein, there are both vegetable and animal proteins (    <xref ref-type="bibr" rid="ref11">11</xref>
). Studies have demonstrated that as the protein quality of a food's composition increases, so does the sensation of pleasure and satiety, and it has also been observed that it provides the balance of negative energy intake (    <xref ref-type="bibr" rid="ref8">8</xref>
,    <xref ref-type="bibr" rid="ref11">11</xref>
). Egg, a protein of animal origin, has been shown in studies to increase the resting metabolic rate. When a plant-based protein source was added to the same diet, identical outcomes were not observed (    <xref ref-type="bibr" rid="ref2">2</xref>
). A study conducted on experimental animals found that the same amount of soy protein and egg protein had different effects on thermogenesis in adipose tissue, with the addition of egg protein increasing thermogenesis more. It has been emphasized for a long time that an increase in dietary protein increases the resting metabolic rate. However, it has been observed in recent studies (    <xref ref-type="bibr" rid="ref4">4</xref>
,    <xref ref-type="bibr" rid="ref8">8</xref>
,    <xref ref-type="bibr" rid="ref9">9</xref>
) that increasing the quality of dietary protein while maintaining the quantity of dietary protein positively affects the resting metabolic rate. Thus, it is believed that more effective and favorable results can be obtained in the treatment of obesity by altering the protein quality of the diet without the negative effects of a high-protein diet (    <xref ref-type="bibr" rid="ref1">1</xref>
,    <xref ref-type="bibr" rid="ref12">12</xref>
).</p>
   <p id="b-2">The present study aimed to examine the effects on satiety markers after breakfast by consuming foods prepared from different protein sources at breakfast meals.</p>
   <sec id="sec-2">
    <title>Materials ve Methods</title>
   </sec>
  </sec>
  <sec id="sec-3">
   <title>Study Design</title>
   <p id="b-3">The study was conducted with the assistance of volunteer faculty and students from the University. It was conducted between 01.04.2018 and 15.05.05.</p>
  </sec>
  <sec id="sec-4">
   <title>Ethical Statement</title>
   <p id="b-4">Mardin Artuklu University, the Non-Invasive Research Ethics Committee approved the study (Date: 12.03.2018; No: 2018/1-5). The calculation of the study's sample was done by taking into account the outcomes of earlier studies that applied to the current study's objectives and produced findings (    <xref ref-type="bibr" rid="ref11">11</xref>
).</p>
   <sec id="sec-5">
    <title>Determination of participants</title>
    <p id="b-5">After conducting the required medical and physical exams on each participant, the individuals who expressed an interest in participating in the study were subsequently included. Forty individuals gave their time voluntarily to take part in the study. Following the Principles of the Declaration of Helsinki, prior to the study's beginning, the participants were provided with information regarding the purpose of the study, and informed consent was obtained from those individuals who agreed to take part in the study. During the research, one of the participants announced that he did not wish to proceed with the work, and as a result, he was removed from the investigation. Also, 39 participants were required to finish the study.</p>
   </sec>
   <sec id="sec-6">
    <title>Inclusion criteria</title>
    <p id="b-6">Persons aged between 18-45 years, without communication problems, with a body mass index (BMI) between 18.5 kg/m     <sup>2</sup>
 and 30 kg/m     <sup>2</sup>
, and without any acute or chronic disease were included in the study. The individuals included in the study were included in the study after the specialist physician examined them and a report was obtained that they were eligible to participate.</p>
   </sec>
   <sec id="sec-7">
    <title>Exclusion criteria</title>
    <p id="b-7">People who have used vitamin-mineral and nutritional support products in the last month, people who follow a unique nutrition program (weight loss diets, etc.), people who are allergic to any food, people who are addicted to drugs or alcohol, pregnant or breastfeeding women, and people with allergies have been left out.</p>
   </sec>
   <sec id="sec-8">
    <title>Form for the collection of information</title>
    <p id="b-8">We used the form that contained demographic information about the individuals, including ages, genders, marital statuses, employment statuses, monthly incomes, levels of physical activity, and meal preferences for each day. During the first interview, both the text and the signed consent form were completed. The text contains information regarding the participant's general health status, and the signed consent form indicates that the participant wanted to participate in this study of their own free will and was not pressured to do so.</p>
   </sec>
   <sec id="sec-9">
    <title>Anthropometric measurements</title>
    <p id="b-9">During the initial interview, the researcher took anthropometric measurements of the people who were going to be included in the scope of the study and recorded those measurements. The Tanita BC 545N brand portable Bioelectrical impedance (BIA) device was used to measure each individual's body weight, body fat mass, muscle mass, fat rate, and basal metabolic rate. The participants' feet were measured barefoot, without their shoes or socks on.</p>
   </sec>
   <sec id="sec-10">
    <title>Study protocol</title>
    <p id="b-10">The study was conducted in a fully randomized crossover. Random numbers table was used for randomization. While making this calculation, the site https://www.randomizer.org/ was used. The participants in the study groups were split into two different groups and assigned to them at random. In the first group, 20 individuals were chosen randomly; in the second group, 20 were chosen randomly. Five individuals from each group participated in the crossovers. On the first day that they were invited for the interview, five people from the first group were given a breakfast that was prepared using foods derived from animals as their breakfast. On the other hand, on the day that they were called for the interview, five people from the second group were provided with a breakfast that had been prepared using foods derived from plants. The individuals in question were contacted once more one week later. During the second interview, the groups were switched, and individuals from the first group were given a breakfast that was prepared using foods derived from plants, while individuals from the second group were given a breakfast that was prepared using foods derived from animals. The individuals were not provided with any information regarding the components that made up the breakfast. It was decided that a week should pass between each breakfast, and this rule was implemented (Figure-1).</p>
    <table-wrap id="tbl-1" position="float">
     <label>Table 1</label>
     <caption>
      <title>Energy and macronutrients of breakfasts served in the study</title>
     </caption>
     <graphic xlink:href="tbl-1.png">
      <alt-text>Table 1: Energy and macronutrients of breakfasts served in the study</alt-text>
     </graphic>
    </table-wrap>
    <table-wrap id="tbl-2" position="float">
     <label>Table 2</label>
     <caption>
      <title>Demographic characteristics and eating habits of individuals</title>
     </caption>
     <graphic xlink:href="tbl-2.png">
      <alt-text>Table 2: Demographic characteristics and eating habits of individuals</alt-text>
     </graphic>
    </table-wrap>
   </sec>
   <sec id="sec-11">
    <title>Where the study was carried out, time and presentation for breakfast</title>
    <p id="b-11">The area designated for breakfast was constructed in such a way as to allow natural light to illuminate the space. It is furnished with enough tables, chairs, and space for 15 people to consume breakfast simultaneously.</p>
    <table-wrap id="tbl-3" position="float">
     <label>Table 3</label>
     <caption>
      <title>Anthropometric measurements of individuals by gender</title>
     </caption>
     <graphic xlink:href="tbl-3.png">
      <alt-text>Table 3: Anthropometric measurements of individuals by gender</alt-text>
     </graphic>
    </table-wrap>
    <table-wrap id="tbl-4" position="float">
     <label>Table 4</label>
     <caption>
      <title>The p-values of the total scale scores of the individuals after breakfast</title>
     </caption>
     <graphic xlink:href="tbl-4.png">
      <alt-text>Table 4: The p-values of the total scale scores of the individuals after breakfast</alt-text>
     </graphic>
    </table-wrap>
    <table-wrap id="tbl-5" position="float">
     <label>Table 5</label>
     <caption>
      <title>Energy and macronutrient intakes and p-values of the individuals on the day of the experimental breakfast</title>
     </caption>
     <graphic xlink:href="tbl-5.png">
      <alt-text>Table 5: Energy and macronutrient intakes and p-values of the individuals on the day of the experimental breakfast</alt-text>
     </graphic>
    </table-wrap>
    <p id="b-12">The nutritional value of various breakfast foods The individuals shared a similar breakfast in terms of total amount of calories, total amount of protein, total amount of fat, the total amount of carbohydrates, and total amount of fiber. If the majority of the breakfast consists of foods derived from animals, then it is referred to as an &quot;animal&quot; breakfast; if the majority of breakfast consists of foods derived from plants, then referred as &quot;Plant-based&quot; breakfast (Table-1). Research morning meals and the components that make them up The experimental breakfast method prepared an omelet to be eaten first thing in the morning.      <italic>Content of the omelet derived from animals:</italic>
 The omelet was prepared using a Teflon pan coated with a non-stick coating by adding fifty milliliters of cow's milk, fifteen grams of curd cheese, one whole egg, ten grams of whole wheat flour, and two milliliters of sunflower oil. Food consisted of strawberry jam weighing 15 grams, cucumbers weighing 75 grams, and tomatoes weighing 75 grams. This was done so that the macronutrient content of each breakfast would be consistent.</p>
   </sec>
   <sec id="sec-12">
    <title>The content of the omelet is derived from</title>
    <p id="b-13">
     <italic>vegetables:</italic>
 chickpea flour (40 grams), soy milk (60 milliliters), curd cheese (3 grams), wheat flour (10 grams), and sunflower oil (15 milliliters). The ingredients were combined in a large bowl before being cooked in a frying pan made of Teflon, which does not stick.</p>
   </sec>
   <sec id="sec-13">
    <title>Developed VAS scale for study</title>
    <p id="b-14">The development and implementation of a visual analog scale, also known as a VAS scale, for indicating levels of hunger and fullness In this study, the participants' hunger, satiety, and satisfaction levels were evaluated using the visual analog scale (VAS) (     <xref ref-type="bibr" rid="ref13">13</xref>
), and before and after the subjects had breakfast, each completed a separate scale to measure their progress. The newly developed pre-breakfast scale included six questions with subheadings. Seven subheadings are included in the scale that was developed after breakfast. On a scale that ranged from 0 to 100 points, the participants were asked questions about how much they enjoyed and were satisfied with their breakfast, how hungry they felt after eating breakfast, how full their stomach felt, how much food they desired to consume, how much food they felt they could consume, how full felt, how satisfied felt, and how much they desired sugary foods. On the scale, a score of '0' indicates 'not at all,' a score of '50' indicates 'I do not feel anything,' and a score of '100' is the highest possible score, with options including 'extreme' and 'too much' depending on the question. At 0 minutes before breakfast, individuals were asked to complete the VAS scale, which included markers for hunger and satiety. The same individuals completed the scale 30, 60, 120, and 180 minutes after breakfast.</p>
   </sec>
   <sec id="sec-14">
    <title>Food consumption form</title>
    <p id="b-15">On the morning of the study's breakfast, participants were also asked to record all the foods they consumed throughout the day on the food consumption record form. Individuals were invited to an interview with their completed forms the following day. Together with the individuals participating in the study, the researcher recorded the forms by correcting any deficiencies. The Nutrition Information Systems (BeBiS) calculated the daily energy and nutrient intake and the amount of food group consumption.</p>
    <fig id="fig-1" position="float">
     <label>Figure 1</label>
     <caption>
      <p>Randomization of study</p>
     </caption>
     <graphic xlink:href="fig-1.png">
      <alt-text>Figure 1: Randomization of study</alt-text>
     </graphic>
    </fig>
   </sec>
   <sec id="sec-15">
    <title>Statistical analysis</title>
    <p id="b-16">SPSS version 23 and Microsoft Excel were used to generate analyses and graphs for the study. The mean, standard deviation, frequency, and percentage were utilized in the descriptive statistics of the study's variables. The paired parametric t-test was used to compare variables with normal distribution. All tests of variables were conducted at a significance level of 5%. After breakfast, the VAS scores of each participant were compared for each question. Finally, the total scale score was computed by adding the scale scores for every six questions on the 6-item scale. BEBIS was used to calculate the energy, macro, and micronutrient content of all foods consumed by the individuals on the day of breakfast. As a result of the calculation, the food consumption, energy, and nutrient intake of the days when the two breakfasts were prepared were compared. Using the paired t-test, normally distributed numerical data were evaluated at a significance level of 5%.</p>
   </sec>
  </sec>
  <sec id="sec-16">
   <title>Results</title>
   <p id="b-17">Table-2 lists the demographic characteristics and dietary habits of individuals. According to gender, 16 men and 23 women participated in the study. The average age of women was 24.04±6.56 years, and the average age of men was 23.93±4.29 years. In the study, individuals' eating habits were examined, and it was determined that fifty percent skipped meals. Table-3 provides anthropometric measurement of individuals based on their gender. Men had a BMI of 23.14±2.85 kg/m    <sup>2</sup>
, while women had a BMI of 21.98±2.45 kg/m    <sup>2</sup>
. The total score of the six-question VAS scale administered after breakfast was used for evaluation. Table 4 provides the p-values of the individuals' total scale scores after breakfast. At the 30    <sup>th</sup>
, 60 , 120    <sup>th</sup>
, and 180    <sup>th</sup>
 minutes after breakfast, the maximum score on a 6-question scale was 600, and the minimum score was 0. Breakfasts of animal origin were associated with a lower total score at 30 minutes (p&lt;0.05). At the 60    <sup>th</sup>
, 120    <sup>th</sup>
, 180    <sup>th</sup>
, and 180 minutes, the total scale score for the breakfast of animal origin were consistently more significant than those for the breakfast of vegetable origin (p&lt;0.05).</p>
   <fig id="fig-2" position="float">
    <label>Figure 2</label>
    <caption>
     <p>1. Before and after breakfast line charts (animal-derived breakfast: ADB); black circles: (●); vegetable derived breakfast (VDB); white circles (○).       <sup>2a</sup>
 Satisfaction -       <sup>2b</sup>
 Hungary -       <sup>2c</sup>
 Fullness       <italic>(Paired student t-test; * p&lt;0.05).</italic>
     </p>
    </caption>
    <graphic xlink:href="fig-2.png">
     <alt-text>Figure 2: 1. Before and after breakfast line charts (animal-derived breakfast: ADB); black circles: (●); vegetable derived breakfast (VDB); white circles (○). 2a Satisfaction - 2b Hungary - 2c Fullness (Paired student t-test; * p&lt;0.05).</alt-text>
    </graphic>
   </fig>
   <p id="b-18">Table-5 displays the individuals' energy and macronutrient intakes and p-value on breakfast day. The energy and macronutrient intakes of the individuals who consumed an animal-derived breakfast on the day of fed were lower than on the day they consumed a plant-based breakfast (p&lt;0.05).</p>
   <p id="b-19">The individuals consumed less energy, carbohydrates, fat, and protein on the animal-derived breakfast day. 30    <sup>th</sup>
, 60    <sup>th</sup>
, 120    <sup>th</sup>
, and 180    <sup>th</sup>
 minutes after an animal and vegetable breakfast, the sensation of satisfaction-pleasure, the sensation of hunger, the sensation of satiety, the desire to consume food, the amount of food that can be consumed, the sensation of stomach fullness, and the desire to consume sugary food were measured. 0- Utilizing a 100-point visual analog scale, it was evaluated.</p>
   <p id="b-20">The scores for hunger, the desire to consume food, the amount consumed, and the desire to consume sugary foods were reversed. Points for hunger, the desire to consume food, and the amount of food that can be consumed were higher for the animal-based breakfast than the vegetable-based breakfast (p&lt;0.05). After consuming a plant-based breakfast, the desire to consume sugary foods decreased (p&lt;0.05). Positive ratings were given to the sensations of pleasure satisfaction, satiety, and stomach individuals after a 10–12 hour fast. The people were given a choice between two different breakfasts that were both vegetable and animal-based. The VAS scale was used to question and evaluate each person's satiety markers, pleasure-satisfaction with breakfast, hunger after breakfast, the feeling of fullness in the stomach, desire to consume food, amount of food that can be consumed, the feeling of satiety, and desire for sugary food.</p>
   <p id="b-21">According to studies, eating eggs for breakfast fullness following breakfast. Individuals' is more filling than eating cereal in normal-satisfaction, satiety, and stomach fullness scores after a breakfast of animal origin were higher than those after a breakfast of vegetable origin (p&lt;0.05) (Figure 2).</p>
  </sec>
  <sec id="sec-17">
   <title>Discussion</title>
   <p id="b-22">Obesity is a worldwide public health problem. One of the treatment approaches to a health problem reached epidemic proportions in this way is calorie restriction (    <xref ref-type="bibr" rid="ref14">14</xref>
). Maintaining a negative energy balance in treating obesity prevents weight gain and also plays an essential role in reducing weight. However, compliance with restricted calorie becomes problematic over time, and individuals have difficulty maintaining such a lifestyle. Therefore, foods reducing the feeling of hunger and make the feeling of fullness feel longer may be more appropriate in treating obesity and may reduce weight loss (    <xref ref-type="bibr" rid="ref11">11</xref>
). Previous studies have shown that breakfast with eggs increases satiety and reduces energy intake at lunch (    <xref ref-type="bibr" rid="ref15">15</xref>
). Individuals who regularly eat breakfast with foods of animal origin have more weight loss than individuals who have breakfast with foods of plant origin. The fact that these studies looked at the protein content of breakfasts rather than the macronutrient content raises the question of whether eggs are effective.</p>
   <p id="b-23">The present study aimed to determine the effects of consuming breakfast made from various protein sources on post-breakfast satiety markers and daily food intake in healthy weight and overweight people (    <xref ref-type="bibr" rid="ref15">15</xref>
–    <xref ref-type="bibr" rid="ref17">17</xref>
) and those who are not overweight (    <xref ref-type="bibr" rid="ref16">16</xref>
). Consuming an egg-based breakfast as opposed to a cereal-based breakfast had a short-term effect on stomach fullness and significantly reduced energy intake. However, it did not affect long-term energy intake despite having a similar energy density and macronutrient composition (    <xref ref-type="bibr" rid="ref17">17</xref>
). Animal origin was found to have significantly higher levels of feeling full in the stomach after breakfast than plant origin. An egg-based breakfast increased feelings of fullness and decreased food intake in a study of kids (    <xref ref-type="bibr" rid="ref18">18</xref>
). According to this study, people who consumed breakfast made from animal products felt less hungry at the 30th and 120th minutes, and their VAS scores were higher. A study on proteins and the amino acids they contain found that eggs and cheese have a similar saturation power despite the significant differences in protein kinetics and their effects on hormone secretion. However, this similarity is impossible for proteins of vegetable origin (    <xref ref-type="bibr" rid="ref19">19</xref>
). Another study found that when mixtures with varying amounts of fiber and the same protein content were compared, there was no difference between the areas under the curve for hunger or fullness. Since this situation was reflected in the scale with higher scores, individuals fed with breakfast of animal origin had higher scores, and this situation was found to be statistically significant; it was discovered that after 120 minutes, the desire to consume food after breakfast was significantly lower in the breakfast of animal origin compared to the vegetable origin.</p>
   <p id="b-24">Numerous studies have examined how a protein source affects appetite (    <xref ref-type="bibr" rid="ref20">20</xref>
). The effects of eating a mixed meal and a meal with a 22% protein content on appetite were equivalent. Additionally, dietary fiber has impact appetite (    <xref ref-type="bibr" rid="ref21">21</xref>
–    <xref ref-type="bibr" rid="ref24">24</xref>
). Evidence suggests that the amount of fiber may have little impact on satiety in a high-protein diet, even though a plant-based breakfast has a marginally higher fiber content (1 g) than an animal-based breakfast. However, more research is needed to compare the effects of high protein/high fiber diets on appetite (    <xref ref-type="bibr" rid="ref10">10</xref>
,    <xref ref-type="bibr" rid="ref24">24</xref>
). The scores of individuals decrease as their food intake increases. Following this evaluation method, it was discovered that individuals consumed less food in the 120    <sup>th</sup>
 and 180 minutes after the 60    <sup>th</sup>
 minute, which was reflected in the scores as higher scores and was found to be statistically significant.</p>
   <p id="b-25">Protein content was positively correlated with the food's saturation score compared to various test foods. The saturation score of a food is positively impacted by both the protein quality and the protein content of the food (    <xref ref-type="bibr" rid="ref25">25</xref>
). Losing body weight was positively correlated with an increase in the food saturation score (    <xref ref-type="bibr" rid="ref26">26</xref>
,    <xref ref-type="bibr" rid="ref27">27</xref>
). The 10% protein breakfast contains casein, soy, and whey protein. Whey protein breakfasts induced a more significant satiety response. However, when the protein content was increased to 25% of the protein in breakfast, this difference was lessened. Within seven hours, a different study that looked at soy and soy milk in a mixed meal found no difference in the responses to hunger or fullness (    <xref ref-type="bibr" rid="ref21">21</xref>
). According to some reports, a high-protein diet's effect on appetite can be attributed to an overall increase in the intake of amino acids (    <xref ref-type="bibr" rid="ref23">23</xref>
,    <xref ref-type="bibr" rid="ref28">28</xref>
). A food high in protein is an egg. The fact that eggs have high concentrations of the branched-chain amino acid leucine significantly impacts satiety. By decreasing mTOR signaling in the hypothalamus, the amino acid leucine can decrease food intake and body weight (    <xref ref-type="bibr" rid="ref29">29</xref>
). Leucine also contributes to insulin signaling and glucose metabolism (    <xref ref-type="bibr" rid="ref30">30</xref>
). The results showed that the satiety of breakfast increased along with the participants' scores. After breakfast, it was discovered that breakfasts of animal origin had higher satiety scores than breakfasts of vegetable origin. At the 60th and 120th minutes, this situation was discovered to be significant. However, they reported that the protein source might regulate postprandial blood glucose levels by reducing postprandial blood glucose level in blood glucose levels (    <xref ref-type="bibr" rid="ref11">11</xref>
,    <xref ref-type="bibr" rid="ref17">17</xref>
,    <xref ref-type="bibr" rid="ref20">20</xref>
). The study examining the protein source did not show any difference in appetite response or total food intake. Animal breakfasts were also less satisfying than plant-based breakfasts when people's post-breakfast sugary food cravings were assessed right after breakfast. However, compared to breakfasts of vegetable origin, the desire for sugary foods has grown future for breakfasts of animal origin. A lower overall score at 30 minutes resulted from feeding an animal-derived breakfast (p&lt; 0.05). Additionally, the breakfast of animal origin consistently received higher overall scale scores at the 180    <sup>th</sup>
 minute than the breakfast of vegetable origin.</p>
   <p id="b-26">Studies have shown that an egg-containing breakfast increases satiety and reduces energy intake at lunch. When a low-energy diet was applied to individuals who regularly ate breakfast with eggs, more significant body weight loss was observed compared to individuals fed a higher-energy diet (    <xref ref-type="bibr" rid="ref11">11</xref>
,    <xref ref-type="bibr" rid="ref31">31</xref>
,    <xref ref-type="bibr" rid="ref32">32</xref>
). The energy and macronutrient intake of the individuals with the animal-derived breakfast during the day they were fed was found to be lower than the day that was fed with the plant-based breakfast. Individuals took in less energy, carbohydrates, fat, and protein.</p>
   <p id="b-27">In the study, both types of breakfast were given to the same people. This is one of the study's strengths. In studies done on humans, the study's most vital points are eating foods that people eat every day and measuring how whole people feel. As the study's biggest flaw, it did not look at the hormones that affect satiety because it did not have enough money to do so.</p>
  </sec>
  <sec id="sec-18">
   <title>Conclusion</title>
   <p id="b-28">In this study, the people were given two different breakfasts with different kinds of food. As a result of the study, a visual analog scale was used to figure out how whole the people were. As a result of the study, it was found that eating an animal-based breakfast made people feel fuller for longer, and their daily energy intake was less. When the goal is to feel full for a long time, it has been decided that foods with protein from animals are better.</p>
  </sec>
 </body>
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