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Nutritional Status, Lifestyle, and Risk Behaviors for Eating Disorders in Nutrition
Students
*
Corresponding author: Gabriela Gutiérrez-Salmeán, PhD, Facultad de
Ciencias de la Salud. Universidad Anáhuac México Norte. Av. Universidad
Anáhuac #46. Lomas Anáhuac. Huixquilucan, Estado de México. 52786.
México, Tel: + (52) (55) 5627 0210; E-mail: gabrielasalmean@yahoo.com
Citation: Ríos-Ontiveros H, Urrutia M, Inda P, Guzman I, Ceballos G,
et al. (2015) Nutritional Status, Lifestyle, and Risk Behaviors for Eating
Disorders in Nutrition Students. Enliven: J Diet Res Nutr 2(3): 005.
Copyright: @ 2015 Dr. Gabriela Gutiérrez-Salmeán. This is an Open
Access article published and distributed under the terms of the Creative
Commons Attribution License, which permits unrestricted use, distribution
and reproduction in any medium, provided the original author and source
are credited.
Received Date: 1st
September 2015
Accepted Date: 28th
October 2015
Published Date: 4th
November 2015
Research Article Enliven: Journal of Dietetics Research and Nutrition
ISSN: 2378-5438
Huguette Ríos-Ontiveros, LN1
, Magdalena Urrutia, MSc1
, Patricia Inda, PhD1
, Ivette Guzmán, MSc1
, Guillermo Ceballos,
PhD2
, Eduardo Meaney, PhD 2
, and Gabriela Gutiérrez-Salmeán, PhD1*
1
Facultad de Ciencias de la Salud. Universidad Anáhuac México Norte
2
Laboratorio de Investigación Integral Cardiometabólica. Sección de Estudios de Posgrado e Investigación. Escuela Superior de Medicina del Instituto
Politécnico Nacional
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2015 | Volume 2 | Issue 3
www.enlivenarchive.org
Abstract
Introduction
Health professionals have shown not only similar but actually higher cardiometabolic risk factors than those of their own patients. Moreover, health
sciences undergraduate students have shown similar trends in eating behaviors and habits of physical activity and diet than general population. Nutrition
students should be more aware of the importance of having a healthy lifestyle and have shown to have more dietary risk behaviors.
Objective
To assess body composition, lifestyle and dietary risk behaviors in Nutrition students.
Material and Methods
Body composition, physical activity, diet, body image perception, and dietary risk behaviors were assessed in a convenience sample of Nutrition students
at a private University.
Results
90% of the students were within the normal BMI range; however, fat percentage of 50% of the students was above the cut-off point. The only criterion of
an adequate diet that was fulfilled by 100% of the students was safety (i.e., innocuous); the least fulfilled criterion was macronutrient balance with only
40%. 78% of the sample met the WHO criteria of physical activity. 5% presented dietary risk behaviors and 40% show body dissatisfaction. Students
exceed the DRI for protein, fat and fiber.
Conclusion
Although most of the students have a healthy BMI, 50% of the students have a high percentage of fat; this shows the impact of not having a proper diet.
The percentage of fat and muscle mass is not consistent with the results of physical activity. The percentage of students that practice dietary risk behaviors
was lower than the national average.
Keywords: Lifestyle; Body composition; Risk behaviors; Nutrition students
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2015 | Volume 2 | Issue 32
Introduction
Mexico currently faces historically high prevalence of overweight and
obesity: 70 % of adults, 35% of adolescents, 26 % of scholars and almost
10% of children under 5 years [1]. Although recent reports are encouraging
as they state that the increase in such prevalence has been contained, these
epidemics are still the central challenge for the health sector [2], since the
rate remains with a positive slope.
Concomitant to overweight and obesity, the current epidemiological
situation is characterized by a high prevalence of chronic degenerative
diseases such as components of the metabolic syndrome (e.g., obesity,
atherogenic dyslipidemia, endothelial dysfunction and impaired glucose
metabolism). In these pathologies, there´s certainly a genetic component
(e.g., polymorphism found in the Mexican population resulting in
alterations in the ABCA1 transporter [3] with consequent propensity to
develop hypoalphalipoproteinemia); however, it has been established that
the now called “exposoma” (diet, physical activity (PA), lifestyle , the use
(and abuse) of drugs , pollution , exposure to chemicals , stress and all
factors environment to which a person is exposed from birth) is a key factor
in disease development [4].
Along with the overall population, health professionals are often immersed
in this obesogenic environment and therefore have the same risk factors and
develop the same diseases that their own patients [5]. This phenomenon
becomes a vicious circle because it increases the probability of failure in the
therapeutic treatment because patients don´t trust their physician. Worse,
it has been found that these patterns start from the professional future of
health is still a student [6].
Since the dietitian has the primary responsibility changing patient´s lifestyle,
its role is particularly important. In this regard, several studies report that
the nutritionist has a better health and nutrition as a result of improved food
quality and increased energy expenditure at the expense of physical activity
(PA), when compared to other professions. In contrast, some studies have
reported that both the professional and the student of Nutrition showed a
higher proportion of eating disorders and dietary risk behaviors [7,8].
Due to all the aforementioned, it is important to determine the body
composition, dietary patterns, physical activity and risk behaviors
among students in Nutrition. With this we could proceed to describe the
epidemiologic and nutrition panorama and design interventional studies in
the areas of opportunity found with this project.
Objective
To assess body composition, lifestyle and dietary risk behaviors in students
of Nutrition at a private University in Mexico City.
Materials and Methods
We conducted a cross-sectional study, recruiting a sample of college
students majoring in Nutrition. Nutritional status (using anthropometric
indicators and bioimpedance methods) and lifestyle (diet and PA indicators)
were evaluated after the volunteers signed an informed consent.
The following equipment and questionnaires were used:
For Body Composition:
Impedance with the equipment: Inbody® 230
• Bioelectric impedance analysis is a method that is based on the fact that
the human body is conductive and electrically non-conductive component.
Usually 50-70% of the human body consists of water having conductive
features, while fat mass functions as nonconductive. The classical method
of bioelectric impedance analysis measures the impedance of the whole
body under the premise that the human body can be considered as a cylinder
for the application of this model. If A is the cross-sectional area, and L is the
length, the impedance of the cylinder can be expressed as follows (Figure 1):
If both sides are multiplied by L, we obtain a new expression as follows:
According to this expression, if we know L and the value of the impedance,
we get the volume. That is, if the height of the human body (which acts as
a conductor) is known, and we know the value of impedance, we can get
the volume of the total body water. Here, the volume represents the height
of the subject.
The principle of analysis of the composition is explained as follows; the
volume of body water, an electrolyte, is first calculated with the measured
impedance value. Then we can get the value of fat-free mass using the
volume of body water. The fat mass is calculated by deducting the lean
body mass weight obtained.
The height must be entered by the user. Weight can be measured directly in
Inbody® 230 like any scale [9].
Waist, hip and arm circumferences with fiber-glass tape
• Waist Circumference: The person should wear minimal clothing when
the measurement is performed, standing with his arms at his sides and feet
together. The examiner sits beside the subject to observe the widest part of
the buttocks. The examiner should not compress the tape [10].
Figure 1: Z=ρ L (where ρ is the resistence)
A
𝑉𝑉𝑉𝑉 = 𝜌𝜌𝜌𝜌
𝐿𝐿𝐿𝐿2
𝑍𝑍𝑍𝑍
(𝑉𝑉𝑉𝑉(𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐) = 𝐴𝐴𝐴𝐴 (𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑐𝑐𝑐𝑐𝑎𝑎𝑎𝑎)𝑥𝑥𝑥𝑥 𝐿𝐿𝐿𝐿(𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑙𝑙𝑙𝑙𝑙𝑙𝑙𝑙𝑙𝑙𝑙𝑙ℎ))
- A
- L
_
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2015 | Volume 2 | Issue 33
• Hip Circumference: First you have to draw an imaginary line from the
armpit to the iliac crest. Then, identify the midpoint between the last rib and
the top of the iliac crest (hip). Place the measuring tape around the above
mentioned spot and proceed to the measurement of the circumference, the
individual must be standing. The examiners must avoid that their fingers get
caught on the tape, interfering with the measurement [11].
• Arm Circumference: It is obtained by measuring with tape the upper
arm, with reference of the length between the tip of the shoulder (acromion)
and the radial head (olecranon). Once we identify the existing midpoint
between the acromion bone protrusion and olecranon along the side of the
non-dominant arm with the elbow flexed to 90° the subject lets the arm fall
naturally, and the tape is placed horizontally around the point indicated [11].
Eating Habits
- 24-hour dietary recall
- The 24-hour dietary recall was analyzed with the Food Processor 	SQL v.
10.12.0® a software with an extensive database for nutrition analysis.
Body Image Satisfaction and Dietary Risk Behaviors
Silhouette questionnaire
• The Silhouette questionnaire (adapted from the Silhouette questionnaire
of Bell, Kirkpatrick and Rinn, 1986) consists of 8 female and male figures
that increase gradually the body shape related to an increase in weight.
Questions such as “What figure represents your current weight?” and “What
figure represents your ideal weight or how would you like to be?” are asked
to the subjects. The first question can assess the distortion between real
weight and perceived weight, TS-Distortion. The second question assesses
the difference between the perceived weight and ideal weight, i.e., body
dissatisfaction, TS- Dissatisfaction [12].
• In both cases, a score of zero or near zero indicates satisfaction with
body image. Scores below or above zero indicate the extent to which the
distortion occurs and body dissatisfaction [12].
PA
General Physical Activity Questioner:
• The Global Physical Activity Questionnaire was developed by WHO
for physical activity surveillance in countries. It collects information on
physical activity participation in three domains (activity at work, travel
to and from places, recreational activities) as well as sedentary behavior,
comprising 16 questions [13].
Data was analyzed with GraphPad Prism® v.5 software. Descriptive
statistics are presented as frequencies (%). Z-tests were performed for
differences among qualitative data, considering a p<0.05 as statistically
significant.
The results of the evaluation of dietary habits are presented in Figure 4. We
analyzed the components of the adequate diet for the Mexican population
(variety, complete, balanced, adequate, sufficient and innocuous) [17].
From these only one was fulfilled by 100% of the students, innocuous
diet, variety was fulfilled by 70% of the sample, meanwhile the lowest
percentage was held by balanced diet with only 40% of the students.
Results
86 students participated in the study, all women and aged 21 ±3 years.
Figure 2 presents the results for body composition. In brief, 90% of the
students had a normal BMI (18.5-24.9 kg/m2
) [14], only 5% are overweight
or obese and 5% and underweight with this indicator. 50% of the students
had a fat percentage above the cutoff point (28 %) [15] and 65% had high
accumulation of fat in the abdominal area. The abdominal circumference of
60% of the students was within the accepted cutoff point for Mexican adult
women (80 cm) [2,16]. We further plotted the previous indicators according
to the academic semester, and found that during the first semesters the
students fat mass decreases but after fourth semester it increases again
although statistical differences were not found (Figure 3).
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2015 | Volume 2 | Issue 3
In the 24 hour-recall analysis, most of the students meet their total energy
expenditure, the fat intake exceeds the DRI, the saturated fat intake
meets the 100% of the DRI as well as the monounsaturated fat intake, the
polyunsaturated fat intake barely exceeds the 50% of the DRI, the trans-fat
intake is null, the cholesterol intake is close to meet the 100% of the DRI,
the omega 3 and 6 intake is really low hardly reaching 50% of the DRI, the
protein intake is just over 200% of the DRI which is disturbingly elevated
consumption of protein, the carbohydrate intake is a little under 100% of the
DRI but the fiber intake fulfills the DRI.
Regarding lifestyle and PA, 16% of the students reported to be active
smokers and 32% are social drinkers. On the other hand 78% of the students
practiced regular PA. 40% of the students have body dissatisfaction but only
5% present dietary risk behaviors.
Discussion
The present study shows that the association between BMI and BFP was
not proportional since 90% have a normal BMI but 50% have a BFP above
the cutoff, this shows that BMI- by itself- is not a specific health indicator
for body composition [18,19]. The fact that the students have a healthy
weight but their PBF is high in this case is more associated with the poor
quality of the diet; which is typical to find in college students [20-22]. If
we analyze the quality of the diet following the Mexican adequate diet
criteria we can see that the quality of their diet is really poor. This would
be contrary to our hypothesis since these students in particular know how
to take better decisions regarding a healthy diet [23]. The decline in BMI in
the first semesters could be a result of the awareness of the students towards
the benefits of a healthy diet, but the rise of BMI in the next semesters could
be more associated with the work load and stress [24]. The fact that 40%
of the students´ abdominal circumference was above the cutoff, is really
disturbing since this population should be healthier than general population.
A healthy diet is associated with a long-term reduction of risk of CVD,
causing less endothelial dysfunction and less low-grade inflammation [25].
On the contrary, a long term high fat diet can promote CVD, a high fat diet
can cause an increase in microvesicles which cause a significant increase
in ROS (reactive oxygen species) and VCAM-1 (vascular cell addition
molecule) which leads to a pro-inflammatory process and endothelial
oxidative stress [26,27]. Meeting the DRI of Omega 3can lower plasma
triglycerides, resting heart rate, and blood pressure, lower inflammation and
improve vascular function, making it a protective factor [28]. The benefits
of meeting the DRI for Omega 6 have not yet been established but the
low intake of it in the students is worthy of being noticed [29]. Students
reported a high intake of fat and low intake of Omega 3 and 6 which means
they are a population with high risk of developing CVD in the long-term.
The intake of protein of the students is alarming; more than 200% of the
DRI is excessive and can have many repercussions in the long-term. Dietary
protein contributes to obesity treatments by acting on metabolic targets
of satiety and energy expenditure in negative energy balance and could
improve blood pressure, but the potential risks of a diet so high on protein
and for long periods of time is yet to be studied and students should be aware
of it [30-32]. On the other hand, the students met the DRI for fiber, which
helps prevent constipation and regulate bowel movement, may decrease
plasma total cholesterol, blood pressure, act as antioxidant, and reduce risk
of obesity, type 2 Diabetes and CVD [33-35].
16% of the students are active smokers, which is lower than the national
average of active smokers in Mexico (23.6%) and Mexico City (32.4%)
[36]. 32% of the students are social drinkers which is lower than the average
of social drinkers in Mexico (35%) and Mexico City (52.8%) [37]. Although
eating habits were not a protective factor for these students, smoking habits
and alcoholism were lower than those of the general population. Low rates
of consumption of alcohol and tobacco will be reflected in the long term as
a cardiovascular and cancer protective factor.
This also has an impact in their future profession, when patients perceive
that their nutritionist or physician have a healthy lifestyle then the adherence
to treatment is better [38-40].
78% of students meet the physical activity requirements established by the
WHO [41]. It is incongruous that the students reported being physically
active on a regular basis and their BFP was high. It´s because of this situation
that it is concluded that it would be worth to do further investigation about
what kind of PA is performed by the students and to analyze this situation
in a more thorough manner [42]. It is also possible that the students felt the
need, because of being students of nutrition, to answer in a more socially
desirable manner resulting in over-reporting of PA [43,44].
40% of the students show body dissatisfaction which is very high
compared to other studies that reported percentages around 13% [8]. 5%
have dietary risk behaviors; this is lower than the percentage reported for
general adolescent population in Mexico (19.7%) [2], this is similar to other
studies that reported that 4.2% of dietetics and nutrition students have risk
of developing eating disorders [45]. If a dietitian practices dietary risk
behaviors it´s more likely that these practices will be recommended during
consultation or will be more difficult for them to identify if the patient has
these same behaviors.
Conflict of Interest: None declared.
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2015 | Volume 2 | Issue 35
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2015 | Volume 2 | Issue 36
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39.	 Ubink-Veltmaat LJ, Damoiseaux RA, Rischen RO, Groenier KH (2004)
Please, let my doctor be obese: associations between the characteristics
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(1997) Improving question wording in surveys of culturally diverse
populations. Ann Epidemiol 7: 334-342.
45.	 Mealha V, Ferreira C, Guerra I, Ravasco P (2013) Students of dietetics
& nutrition; a high risk group for eating disorders. Nutr Hosp 28: 1558-
1566.

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Nutritional Status, Lifestyle, and Risk Behaviors for Eating Disorders in Nutrition Students

  • 1. Nutritional Status, Lifestyle, and Risk Behaviors for Eating Disorders in Nutrition Students * Corresponding author: Gabriela Gutiérrez-Salmeán, PhD, Facultad de Ciencias de la Salud. Universidad Anáhuac México Norte. Av. Universidad Anáhuac #46. Lomas Anáhuac. Huixquilucan, Estado de México. 52786. México, Tel: + (52) (55) 5627 0210; E-mail: gabrielasalmean@yahoo.com Citation: Ríos-Ontiveros H, Urrutia M, Inda P, Guzman I, Ceballos G, et al. (2015) Nutritional Status, Lifestyle, and Risk Behaviors for Eating Disorders in Nutrition Students. Enliven: J Diet Res Nutr 2(3): 005. Copyright: @ 2015 Dr. Gabriela Gutiérrez-Salmeán. This is an Open Access article published and distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. Received Date: 1st September 2015 Accepted Date: 28th October 2015 Published Date: 4th November 2015 Research Article Enliven: Journal of Dietetics Research and Nutrition ISSN: 2378-5438 Huguette Ríos-Ontiveros, LN1 , Magdalena Urrutia, MSc1 , Patricia Inda, PhD1 , Ivette Guzmán, MSc1 , Guillermo Ceballos, PhD2 , Eduardo Meaney, PhD 2 , and Gabriela Gutiérrez-Salmeán, PhD1* 1 Facultad de Ciencias de la Salud. Universidad Anáhuac México Norte 2 Laboratorio de Investigación Integral Cardiometabólica. Sección de Estudios de Posgrado e Investigación. Escuela Superior de Medicina del Instituto Politécnico Nacional 1 Enliven Archive | www.enlivenarchive.org 2015 | Volume 2 | Issue 3 www.enlivenarchive.org Abstract Introduction Health professionals have shown not only similar but actually higher cardiometabolic risk factors than those of their own patients. Moreover, health sciences undergraduate students have shown similar trends in eating behaviors and habits of physical activity and diet than general population. Nutrition students should be more aware of the importance of having a healthy lifestyle and have shown to have more dietary risk behaviors. Objective To assess body composition, lifestyle and dietary risk behaviors in Nutrition students. Material and Methods Body composition, physical activity, diet, body image perception, and dietary risk behaviors were assessed in a convenience sample of Nutrition students at a private University. Results 90% of the students were within the normal BMI range; however, fat percentage of 50% of the students was above the cut-off point. The only criterion of an adequate diet that was fulfilled by 100% of the students was safety (i.e., innocuous); the least fulfilled criterion was macronutrient balance with only 40%. 78% of the sample met the WHO criteria of physical activity. 5% presented dietary risk behaviors and 40% show body dissatisfaction. Students exceed the DRI for protein, fat and fiber. Conclusion Although most of the students have a healthy BMI, 50% of the students have a high percentage of fat; this shows the impact of not having a proper diet. The percentage of fat and muscle mass is not consistent with the results of physical activity. The percentage of students that practice dietary risk behaviors was lower than the national average. Keywords: Lifestyle; Body composition; Risk behaviors; Nutrition students
  • 2. Enliven Archive | www.enlivenarchive.org 2015 | Volume 2 | Issue 32 Introduction Mexico currently faces historically high prevalence of overweight and obesity: 70 % of adults, 35% of adolescents, 26 % of scholars and almost 10% of children under 5 years [1]. Although recent reports are encouraging as they state that the increase in such prevalence has been contained, these epidemics are still the central challenge for the health sector [2], since the rate remains with a positive slope. Concomitant to overweight and obesity, the current epidemiological situation is characterized by a high prevalence of chronic degenerative diseases such as components of the metabolic syndrome (e.g., obesity, atherogenic dyslipidemia, endothelial dysfunction and impaired glucose metabolism). In these pathologies, there´s certainly a genetic component (e.g., polymorphism found in the Mexican population resulting in alterations in the ABCA1 transporter [3] with consequent propensity to develop hypoalphalipoproteinemia); however, it has been established that the now called “exposoma” (diet, physical activity (PA), lifestyle , the use (and abuse) of drugs , pollution , exposure to chemicals , stress and all factors environment to which a person is exposed from birth) is a key factor in disease development [4]. Along with the overall population, health professionals are often immersed in this obesogenic environment and therefore have the same risk factors and develop the same diseases that their own patients [5]. This phenomenon becomes a vicious circle because it increases the probability of failure in the therapeutic treatment because patients don´t trust their physician. Worse, it has been found that these patterns start from the professional future of health is still a student [6]. Since the dietitian has the primary responsibility changing patient´s lifestyle, its role is particularly important. In this regard, several studies report that the nutritionist has a better health and nutrition as a result of improved food quality and increased energy expenditure at the expense of physical activity (PA), when compared to other professions. In contrast, some studies have reported that both the professional and the student of Nutrition showed a higher proportion of eating disorders and dietary risk behaviors [7,8]. Due to all the aforementioned, it is important to determine the body composition, dietary patterns, physical activity and risk behaviors among students in Nutrition. With this we could proceed to describe the epidemiologic and nutrition panorama and design interventional studies in the areas of opportunity found with this project. Objective To assess body composition, lifestyle and dietary risk behaviors in students of Nutrition at a private University in Mexico City. Materials and Methods We conducted a cross-sectional study, recruiting a sample of college students majoring in Nutrition. Nutritional status (using anthropometric indicators and bioimpedance methods) and lifestyle (diet and PA indicators) were evaluated after the volunteers signed an informed consent. The following equipment and questionnaires were used: For Body Composition: Impedance with the equipment: Inbody® 230 • Bioelectric impedance analysis is a method that is based on the fact that the human body is conductive and electrically non-conductive component. Usually 50-70% of the human body consists of water having conductive features, while fat mass functions as nonconductive. The classical method of bioelectric impedance analysis measures the impedance of the whole body under the premise that the human body can be considered as a cylinder for the application of this model. If A is the cross-sectional area, and L is the length, the impedance of the cylinder can be expressed as follows (Figure 1): If both sides are multiplied by L, we obtain a new expression as follows: According to this expression, if we know L and the value of the impedance, we get the volume. That is, if the height of the human body (which acts as a conductor) is known, and we know the value of impedance, we can get the volume of the total body water. Here, the volume represents the height of the subject. The principle of analysis of the composition is explained as follows; the volume of body water, an electrolyte, is first calculated with the measured impedance value. Then we can get the value of fat-free mass using the volume of body water. The fat mass is calculated by deducting the lean body mass weight obtained. The height must be entered by the user. Weight can be measured directly in Inbody® 230 like any scale [9]. Waist, hip and arm circumferences with fiber-glass tape • Waist Circumference: The person should wear minimal clothing when the measurement is performed, standing with his arms at his sides and feet together. The examiner sits beside the subject to observe the widest part of the buttocks. The examiner should not compress the tape [10]. Figure 1: Z=ρ L (where ρ is the resistence) A 𝑉𝑉𝑉𝑉 = 𝜌𝜌𝜌𝜌 𝐿𝐿𝐿𝐿2 𝑍𝑍𝑍𝑍 (𝑉𝑉𝑉𝑉(𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐) = 𝐴𝐴𝐴𝐴 (𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑐𝑐𝑐𝑐𝑎𝑎𝑎𝑎)𝑥𝑥𝑥𝑥 𝐿𝐿𝐿𝐿(𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑙𝑙𝑙𝑙𝑙𝑙𝑙𝑙𝑙𝑙𝑙𝑙ℎ)) - A - L _
  • 3. Enliven Archive | www.enlivenarchive.org 2015 | Volume 2 | Issue 33 • Hip Circumference: First you have to draw an imaginary line from the armpit to the iliac crest. Then, identify the midpoint between the last rib and the top of the iliac crest (hip). Place the measuring tape around the above mentioned spot and proceed to the measurement of the circumference, the individual must be standing. The examiners must avoid that their fingers get caught on the tape, interfering with the measurement [11]. • Arm Circumference: It is obtained by measuring with tape the upper arm, with reference of the length between the tip of the shoulder (acromion) and the radial head (olecranon). Once we identify the existing midpoint between the acromion bone protrusion and olecranon along the side of the non-dominant arm with the elbow flexed to 90° the subject lets the arm fall naturally, and the tape is placed horizontally around the point indicated [11]. Eating Habits - 24-hour dietary recall - The 24-hour dietary recall was analyzed with the Food Processor SQL v. 10.12.0® a software with an extensive database for nutrition analysis. Body Image Satisfaction and Dietary Risk Behaviors Silhouette questionnaire • The Silhouette questionnaire (adapted from the Silhouette questionnaire of Bell, Kirkpatrick and Rinn, 1986) consists of 8 female and male figures that increase gradually the body shape related to an increase in weight. Questions such as “What figure represents your current weight?” and “What figure represents your ideal weight or how would you like to be?” are asked to the subjects. The first question can assess the distortion between real weight and perceived weight, TS-Distortion. The second question assesses the difference between the perceived weight and ideal weight, i.e., body dissatisfaction, TS- Dissatisfaction [12]. • In both cases, a score of zero or near zero indicates satisfaction with body image. Scores below or above zero indicate the extent to which the distortion occurs and body dissatisfaction [12]. PA General Physical Activity Questioner: • The Global Physical Activity Questionnaire was developed by WHO for physical activity surveillance in countries. It collects information on physical activity participation in three domains (activity at work, travel to and from places, recreational activities) as well as sedentary behavior, comprising 16 questions [13]. Data was analyzed with GraphPad Prism® v.5 software. Descriptive statistics are presented as frequencies (%). Z-tests were performed for differences among qualitative data, considering a p<0.05 as statistically significant. The results of the evaluation of dietary habits are presented in Figure 4. We analyzed the components of the adequate diet for the Mexican population (variety, complete, balanced, adequate, sufficient and innocuous) [17]. From these only one was fulfilled by 100% of the students, innocuous diet, variety was fulfilled by 70% of the sample, meanwhile the lowest percentage was held by balanced diet with only 40% of the students. Results 86 students participated in the study, all women and aged 21 ±3 years. Figure 2 presents the results for body composition. In brief, 90% of the students had a normal BMI (18.5-24.9 kg/m2 ) [14], only 5% are overweight or obese and 5% and underweight with this indicator. 50% of the students had a fat percentage above the cutoff point (28 %) [15] and 65% had high accumulation of fat in the abdominal area. The abdominal circumference of 60% of the students was within the accepted cutoff point for Mexican adult women (80 cm) [2,16]. We further plotted the previous indicators according to the academic semester, and found that during the first semesters the students fat mass decreases but after fourth semester it increases again although statistical differences were not found (Figure 3).
  • 4. Enliven Archive | www.enlivenarchive.org 2015 | Volume 2 | Issue 3 In the 24 hour-recall analysis, most of the students meet their total energy expenditure, the fat intake exceeds the DRI, the saturated fat intake meets the 100% of the DRI as well as the monounsaturated fat intake, the polyunsaturated fat intake barely exceeds the 50% of the DRI, the trans-fat intake is null, the cholesterol intake is close to meet the 100% of the DRI, the omega 3 and 6 intake is really low hardly reaching 50% of the DRI, the protein intake is just over 200% of the DRI which is disturbingly elevated consumption of protein, the carbohydrate intake is a little under 100% of the DRI but the fiber intake fulfills the DRI. Regarding lifestyle and PA, 16% of the students reported to be active smokers and 32% are social drinkers. On the other hand 78% of the students practiced regular PA. 40% of the students have body dissatisfaction but only 5% present dietary risk behaviors. Discussion The present study shows that the association between BMI and BFP was not proportional since 90% have a normal BMI but 50% have a BFP above the cutoff, this shows that BMI- by itself- is not a specific health indicator for body composition [18,19]. The fact that the students have a healthy weight but their PBF is high in this case is more associated with the poor quality of the diet; which is typical to find in college students [20-22]. If we analyze the quality of the diet following the Mexican adequate diet criteria we can see that the quality of their diet is really poor. This would be contrary to our hypothesis since these students in particular know how to take better decisions regarding a healthy diet [23]. The decline in BMI in the first semesters could be a result of the awareness of the students towards the benefits of a healthy diet, but the rise of BMI in the next semesters could be more associated with the work load and stress [24]. The fact that 40% of the students´ abdominal circumference was above the cutoff, is really disturbing since this population should be healthier than general population. A healthy diet is associated with a long-term reduction of risk of CVD, causing less endothelial dysfunction and less low-grade inflammation [25]. On the contrary, a long term high fat diet can promote CVD, a high fat diet can cause an increase in microvesicles which cause a significant increase in ROS (reactive oxygen species) and VCAM-1 (vascular cell addition molecule) which leads to a pro-inflammatory process and endothelial oxidative stress [26,27]. Meeting the DRI of Omega 3can lower plasma triglycerides, resting heart rate, and blood pressure, lower inflammation and improve vascular function, making it a protective factor [28]. The benefits of meeting the DRI for Omega 6 have not yet been established but the low intake of it in the students is worthy of being noticed [29]. Students reported a high intake of fat and low intake of Omega 3 and 6 which means they are a population with high risk of developing CVD in the long-term. The intake of protein of the students is alarming; more than 200% of the DRI is excessive and can have many repercussions in the long-term. Dietary protein contributes to obesity treatments by acting on metabolic targets of satiety and energy expenditure in negative energy balance and could improve blood pressure, but the potential risks of a diet so high on protein and for long periods of time is yet to be studied and students should be aware of it [30-32]. On the other hand, the students met the DRI for fiber, which helps prevent constipation and regulate bowel movement, may decrease plasma total cholesterol, blood pressure, act as antioxidant, and reduce risk of obesity, type 2 Diabetes and CVD [33-35]. 16% of the students are active smokers, which is lower than the national average of active smokers in Mexico (23.6%) and Mexico City (32.4%) [36]. 32% of the students are social drinkers which is lower than the average of social drinkers in Mexico (35%) and Mexico City (52.8%) [37]. Although eating habits were not a protective factor for these students, smoking habits and alcoholism were lower than those of the general population. Low rates of consumption of alcohol and tobacco will be reflected in the long term as a cardiovascular and cancer protective factor. This also has an impact in their future profession, when patients perceive that their nutritionist or physician have a healthy lifestyle then the adherence to treatment is better [38-40]. 78% of students meet the physical activity requirements established by the WHO [41]. It is incongruous that the students reported being physically active on a regular basis and their BFP was high. It´s because of this situation that it is concluded that it would be worth to do further investigation about what kind of PA is performed by the students and to analyze this situation in a more thorough manner [42]. It is also possible that the students felt the need, because of being students of nutrition, to answer in a more socially desirable manner resulting in over-reporting of PA [43,44]. 40% of the students show body dissatisfaction which is very high compared to other studies that reported percentages around 13% [8]. 5% have dietary risk behaviors; this is lower than the percentage reported for general adolescent population in Mexico (19.7%) [2], this is similar to other studies that reported that 4.2% of dietetics and nutrition students have risk of developing eating disorders [45]. If a dietitian practices dietary risk behaviors it´s more likely that these practices will be recommended during consultation or will be more difficult for them to identify if the patient has these same behaviors. Conflict of Interest: None declared. References 1. Gutiérrez JP, Rivera-Dommarco J, Shamah-Levy T, Villalpando- Hernández S, Franco A, et al. (2012) Encuesta Nacional de Salud y Nutrición 2012. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública. 2. Instituto Nacional de Salud Pública (2012) Encuesta Nacional de Salud y Nutrición 2012: Resumen Ejecutivo. Cuernavaca; México: Instituto Nacional de Salud Pública. 4
  • 5. Enliven Archive | www.enlivenarchive.org 2015 | Volume 2 | Issue 35 3. Weissglas-Volkov D, Pajukanta P (2010) Genetic causes of high and low serum HDL-cholesterol. J Lipid Res 51: 2032-2057. 4. Buck Louis GM, Sundaram R (2012) Exposome: time for transformative research. Stat Med 31: 2569-2575. 5. Lara A, Meaney A, Kuri-Morales P, Meaney E, Asbun-Bojalil J, et al. (2007) Frecuencia de obesidad abdominal en médicos mexicanos de primer contacto y en sus pacientes. Med Int Mex 23: 391-397. 6. Gutiérrez-Salmeán G, Meaney A, Ocharán ME, Araujo JM, Ramírez- Sánchez I, et al. (2013) Anthropometric traits, blood pressure, and dietary and physical exercise in health sciences students; The Obesity Observatory Project. Nutr Hosp 28: 194-201. 7. Drummond D, Hare MS (2012) Dietitians and eating disorders: an international issue. Can J Dietetic Pract Res 73: 86-90. 8. Silva JD, Silva AB, de Oliveira AV, Nemer AS (2012) Influence of the nutritional status in the risk of eating disorders among female university students of nutrition: eating patterns and nutritional status. Cien Saude Colet 17: 3399-3406. 9. (2006) Inbody 230 Users´s manual. Korea. 10. Shamah- Levy T, Villalpando- Hernández S, Rivera-Dommarco J (2006) Manual de Procedimientos para Proyectos de Nutrición. Cuernavaca, México. Instituto Nacional de Salud Pública. 11. Velázquez O, Lara A, Tapia F, Romo L, Carrillo J, et al. (2002) Manual de Procedimientos: Toma de Medidas Clínicas y Antropométricas. En el Adulto y Adulto Mayor. 12. Maganto Mateo C, Cruz Saez S (2002) La insatisfacción crporal como variable explicativa de los trastornos alimenticios. Revista de Psicología de la PUCP 20: 197-223. 13. http://www.who.int/chp/steps/resources/GPAQ_Analysis_Guide.pdf 14. http://www.cdc.gov/healthyweight/assessing/bmi/adult_bmi/ 15. Heo M, Faith MS, Pietrobelli A, Heymsfield SB (2012) Percentage of body fat cutoffs by sex, age, and race-ethnicity in the US adult population from NHANES 1999-2004. Am J Clin Nutr 95: 594-602. 16. Lean ME, Han TS, Morrison CE (1995) Waist circumference as a measure for indicating need for weight management. BMJ 311: 158- 161. 17. http://www.dof.gob.mx/nota_detalle.php?codigo=5285372&fec ha=22/01/2013 18. Flegal KM, Shepard JA, Looker AC, Graubard BI, Borrud LG, et al. (2009) Comparison of percentage body fat, body mass index, waist circumference, and waist-stature ratio in adults.Am J Clin Nutr 89: 500- 508. 19. Fernández JR, Heo M, Heymsfield SB, Pierson RN Jr, Pi-Sunyer FX, et al. (2003) Is percentage body fat differentially related to body mass index in Hispanic Americans, African Americans, and European Americans? Am J Clin Nutr 77: 71-75. 20. Jennings A, Welch A, Sluijs EMF, Griffin SJ, Cassidy A (2011) Diet quality is independently associated with Weight Status in Children Aged 9-10 Years. J Nutr 141: 453-459. 21. Washi SA, Ageib MB (2010) Poor diet quality and food habits are related to impaired nutritional status in 13-to 18-year-old adolescents in Jeddah. Nutr Res 30: 527-534. 22. Vella-Zarb RA, Elgar FJ (2009) The “Freshman 5”: A Meta-Analysis of weight Gain in the Freshman Year of College. J Am Coll Health 58: 161-166. 23. Bu SY (2013) Transitional changes in energy intake, skeletal muscle content and nutritional behavior in college students during course-work based nutrition education. Clin Nutr Res 2: 125-134. 24. Fabián C, Pagán I, Ríos JL, Betancourt J, Cruz SY, et al. (2013) Dietary patterns and their association with sociodemographic characteristics and perceived academic stress of college students in Puerto Rico. P R Health Sci J 32: 36-43. 25. van Bussel BC, Henry RM, Ferreira I, van Greevenbroek MM, van der Kallen CJ, et al. (2015) A healthy diet is associated with less endothelial dysfunction and less low-grade inflammation over a 7-year period in adults at risk of cardiovascular disease. J Nutr 145: 532-540. 26. Heinrich LF, Andersen DK, Cleasby ME, Lawson C (2015) Long-term high fat feeding of rats in increased numbers of circulating microvesicles with pro-inflammatory effects on endothelial cells. Br J Nutr 16: 1-8. 27. Monteiro PF, Morganti RP, Delbin MA, Calixto MC, Lopes-Pires ME, et al. (2012) Platelet hyperaggregability in high-fat fed rats: a role for intraplatelet reactive-oxygen species production. Cardiovasc Diabetol 11: 5. 28. Mozaffarian D, Wu JH (2011) Omega-3 Fatty Acids and Cardiovascular Disease. Effects on Risk Factors, Molecular Pathways, and Clinical Events. J Am Coll Cardiol 58: 2047-2067. 29. Ramsden CE, Zamora D, Leelarthaepin B, Majchrzak-Hong S, Faurot Kr, et al. (2013) Use of dietary linoleic acid for secondary prevention of coronary heart disease and death: evaluation of recovered data from the Sydney Diet Heart Study and updated meta-analysis. BMJ 346: e8707. 30. Lagiou P, Sandin S, Lof M, Trochopoulos D, Adami HO, et al. (2012) Low carbohydrate-high protein diet and incidence of cardiovascular diseases in Swedish women: prospective cohort study. BMJ 344: e4026. 31. Friedman AN (2004) High-protein diets: potential effects on the kidney in renal health and disease. Am J Kidney Dis 44: 950-962. 32. Westerterp MS, Lemmens SG, Westerterp KR (2012) Dietary protein- its role in satiety, energetics, weight loss and health. Br J Nutr 108: 105- 112. 33. Sánchez-Muniz FJ (2012) Dietary fibre and cardiovascular health. Nutr Hosp 27: 31-45. 34. Threapleton DE, Greenwood DC, Evans CEL, Cleghorn CL, Nykjaer C, et al. (2013) Dietary fibre intake and risk of cardiovascular disease: systematic review and meta-analysis. BMJ 347: f6879. 35. Cho SS, Qi L, Fahey GC, Klurfeld DM (2013) Consumption of cereal fiber, mixtures of whole grains and bran, and whole grains and risk reduction in type 2 diabetes, obesity, and cardiovascular disease. Am J Clin Nutr 98: 594-619. 36. Reynales-Shigematsu LM, Guerrero-López CM, Lazcano-Ponce E, Villatoro-Velázquez JA, Medina-Mora ME, Fleiz-Bautista C, et al. (2012) Encuesta Nacional de Adicciones 2011: Reporte de Tabaco. México. 37. Medina-Mora ME, Villatoro-Velázquez JA, Fleiz-Bautista C, Téllez- Rojo MM, Mendoza-Alvarado LR, et al. (2012) Encuesta Nacional de Adicciones 2011: Reporte de Alcohol. México. 38. Bleich SN, Bennett WL, Gudzune KA, Cooper LA (2012) Impact of physician BMI on obesity care and beliefs. Obesity(Silver Spring) 20: 999-1005.
  • 6. Enliven Archive | www.enlivenarchive.org 2015 | Volume 2 | Issue 36 Submit your manuscript at http://enlivenarchive.org/submit-manuscript.php Apart from providing HTML, PDF versions; we also provide video version and deposit the videos in about 15 freely accessible social network sites that promote videos which in turn will aid in rapid circulation of articles published with us. New initiative of Enliven Archive 39. Ubink-Veltmaat LJ, Damoiseaux RA, Rischen RO, Groenier KH (2004) Please, let my doctor be obese: associations between the characteristics of general practitioners and their patients with type 2 diabetes. Diabetes Care 27: 2560. 40. Hash RB, Munna RK, Vogel RL, Bason JJ (2003) Does physician weight affect perception of health advice? Prev Med 36: 41-44. 41. http://www.who.int/dietphysicalactivity/factsheet_adults/en/ 42. Rizzo NS, Ruiz JR, Oja L,VeidebaumT, Sjöstrom M (2008)Associations between physical activity, body fat, and insulin resistance (homeostasis model assessment) in adolescents: the European Youth Heart Study. Am J Clin Nutr 87: 586-592. 43. Maxwell AE, Bastani R, Vida P, Warda US (2002) Physical activity among older Filipino-American women. Women Health 36: 67-79. 44. Warnecke RB, Johnsn TP, Chávez N, Sudman S, O´Rourke DP, et al. (1997) Improving question wording in surveys of culturally diverse populations. Ann Epidemiol 7: 334-342. 45. Mealha V, Ferreira C, Guerra I, Ravasco P (2013) Students of dietetics & nutrition; a high risk group for eating disorders. Nutr Hosp 28: 1558- 1566.