<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">FNS</journal-id><journal-title-group><journal-title>Food and Nutrition Sciences</journal-title></journal-title-group><issn pub-type="epub">2157-944X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/fns.2015.610090</article-id><article-id pub-id-type="publisher-id">FNS-58078</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Dietary Fat Intake, Micronutritient and Obesity among Adolescent in Tlemcen (Western Algeria)
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>eryem</surname><given-names>Allioua</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rabah</surname><given-names>Djaziri</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Moustafa</surname><given-names>Yassine Mahdad</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Semir</surname><given-names>Bechir Suheil Gaouar</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Harek</surname><given-names>Derradji</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Boumediene</surname><given-names>Moussa Boudjemaa</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Slimane</surname><given-names>Belbraouet</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Laboratory of Pathophysiology and Biochemistry of Nutrition (PPABIONUT), Department of Biology, Faculty of Natural Science and Life, University of Tlemcen, Tlemcen, Algeria</addr-line></aff><aff id="aff4"><addr-line>National Institute of Agronomic Research (INRA) Algiers, Algiers, Algeria</addr-line></aff><aff id="aff1"><addr-line>Laboratory of Applied Microbiology in Food in Biomedical and Environmental (LAMAABE), Department of 
Biology, Faculty of Natural Science and Life, University of Tlemcen, Tlemcen, Algeria</addr-line></aff><aff id="aff5"><addr-line>Ecole de Nutrition, Université de Moncton, Moncton, Canada</addr-line></aff><aff id="aff2"><addr-line>Laboratory of Antibiotic and Antifungal Physico-Chemistry, Synthesis and Biological Activity (LAPSAB), 
Department of Biology, Faculty of Natural Science and Life, University of Tlemcen, Tlemcen, Algeria</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>slimane.belbraouet@umoncton.ca(EA)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>08</day><month>07</month><year>2015</year></pub-date><volume>06</volume><issue>10</issue><fpage>860</fpage><lpage>868</lpage><history><date date-type="received"><day>30</day>	<month>April</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>14</month>	<year>July</year>	</date><date date-type="accepted"><day>17</day>	<month>July</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: A number of epidemiological studies around the world have shown that the occurred and the high prevalence of some chronic diseases such as diabetes, obesity, cardiovascular disease, etc. are mainly caused by a high calorie and unbalanced diet associate with reduced physical activity. In Algeria, as in many emerging countries to improve the standard of living of the population and changes in lifestyle, more westernized characterized by abundant food and sedentary lifestyle especially among young people contribute to the increased incidence of these chronic diseases. Objectives: This work consists of a dietary survey conducted among adolescent boys and girls in Tlemcen (Algeria). Subject and Methods: This is a descriptive cross-sectional study of dietary intake of adolescent aged 10 - 17 years and anthropometric parameters: weight, height, body mass index. Results: Increased fat intake was associated with increased body mass index in both sexes, increased obesity and abdominal obesity in girls, boys are more active than girls and we observed decreased intake of sugar, the nutritient adequacy ratio of folate, niacin, vitamin B6, iron, magnesium. Conclusion: The early prevention of obesity in children and adolescents is essential in the prevention of chronic diseases in adults. We recommended adolescent by healthy diets towards helps regulate their body weight and reduces the risk of cardiovascular disease and some types of cancer and especially the girls by lifestyle more active.
 
</p></abstract><kwd-group><kwd>Adolescents</kwd><kwd> Fat Intake</kwd><kwd> Micronutrient</kwd><kwd> Body Mass Index</kwd><kwd> Obesity</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Human food preferences tend to favor foods with both fats and sugar [<xref ref-type="bibr" rid="scirp.58078-ref1">1</xref>] , high energy dense diets could increase the prevalence of obesity and abdominal obesity [<xref ref-type="bibr" rid="scirp.58078-ref2">2</xref>] and low energy dense diets could reduce weight and waist circumference [<xref ref-type="bibr" rid="scirp.58078-ref3">3</xref>] . An elevated body mass index in adolescence―one that is well within the range currently considered to be normal―constitutes a substantial risk factor for obesity-related disorders in midlife [<xref ref-type="bibr" rid="scirp.58078-ref4">4</xref>] and diet in this period is an important modifiable risk factor in the prevention of obesity and the development of chronic diseases such as cardiovascular disease and cancer in adulthood [<xref ref-type="bibr" rid="scirp.58078-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.58078-ref6">6</xref>] ; early prevention of childhood and adolescent obesity is critical in prevention of adult coronary vascular disease [<xref ref-type="bibr" rid="scirp.58078-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.58078-ref8">8</xref>] . In Algeria, in 2012 the proportion of deaths (% of all deaths, all ages, both sexes) is 41% of cardiovascular diseases, 10% cancers, 7% diabetes, which obesity includes (22.4% women and 9.6% men) of risk factors [<xref ref-type="bibr" rid="scirp.58078-ref9">9</xref>] . The dietary fat intake of children and adolescents plays an important role in their growth and development, and also has a long-term effect on adult health. For this reason, both quantity and quality of dietary fat are important [<xref ref-type="bibr" rid="scirp.58078-ref10">10</xref>] , since the 1980s many bodies and organizations have published recommendations regarding fat intake [<xref ref-type="bibr" rid="scirp.58078-ref11">11</xref>] , Lipids should provide 30% - 35% of total energy intake with less than 10% of saturated fatty acids, Cholesterol ≤ 300 mg [<xref ref-type="bibr" rid="scirp.58078-ref12">12</xref>] . Fat is the most energy dense macronutrient and has a less satiating effect than protein or carbohydrates [<xref ref-type="bibr" rid="scirp.58078-ref13">13</xref>] , and overconsumption has been linked to obesity, cardiovascular disease, non-insulin dependent diabetes [<xref ref-type="bibr" rid="scirp.58078-ref14">14</xref>] . Obese people prefer foods high in fat [<xref ref-type="bibr" rid="scirp.58078-ref15">15</xref>] , obese adolescents tend to move towards a high-energy food, sweet-fatty or salty-fatty; and absorb excessive sodas which unbalance torque hunger/satiety [<xref ref-type="bibr" rid="scirp.58078-ref12">12</xref>] . Childhood obesity has more than doubled in children and quadrupled in adolescents in the past 30 years in USA [<xref ref-type="bibr" rid="scirp.58078-ref16">16</xref>] . In Algeria, Overweight reached 13.7% and obesity 3.2% in adolescents 13 to 15 years [<xref ref-type="bibr" rid="scirp.58078-ref17">17</xref>] .</p><p>Dietary practices established during adolescence can be difficult to change in future years [<xref ref-type="bibr" rid="scirp.58078-ref18">18</xref>] , recognizing the pattern of food consumption in adolescents is one of the most important in designing appropriate programs of research priorities and implementing effective approaches to improve the health status [<xref ref-type="bibr" rid="scirp.58078-ref19">19</xref>] . In Algeria, the information is limited on diet and health status of adolescents compared to children [<xref ref-type="bibr" rid="scirp.58078-ref20">20</xref>] ; for this reason, we conducted this study to examine the relationship between nutritional intake based on fat intake and obesity in adolescents and to suggest recommendations to improve adolescent health and then to prevent disease in adulthood.</p></sec><sec id="s2"><title>2. Subjects and Methods</title><sec id="s2_1"><title>2.1. Subjects</title><p>This is a descriptive cross-sectional study of the qualitative and quantitative variables. The research was conducted from December 2011 and June 2012. The target population was adolescents (boys and girls) from 10 to 17 years the intermediate cycle, in the public schools of Tlemcen. In advance, adolescents and their parents were informed about the objectives and methods. Written informed consent was taken from each student and a parent, it was finally selected 718 (52% girls and 48% boys); in this study we randomly selected some regions from among all the regions of Tlemcen. We tried to include different regions with different socio-economic status. Then, some schools were randomly chosen from selective regions. The list of student records was obtained from each school and the students were randomly selected. All students aged 10 to 17 years were eligible to participate in the study unless they were on a specific diet.</p></sec><sec id="s2_2"><title>2.2. Anthropometric Assessment</title><p>Measured by school nurse, body weight was measured to a precision of 100 g, with minimal clothing and without shoes, using a calibrated portable scale. Height was measured by a stem cell calibrated measurement with a precision of 1cm; the subject was standing without shoes. The body mass index BMI was calculated by the formula: body weight (kg) divided by height square in meters. The classification of nutritional status was determined according to the IOTF international criteria [<xref ref-type="bibr" rid="scirp.58078-ref21">21</xref>] . Adolescents were defined as obese if they had a percentile BMI-25, and adolescents with BMI-30 percentile were defined as overweight. Waist circumference was measured by a inextensible tape with a precision of 0.1 cm (with arms hanging relaxed along the body), waist circumference was measured halfway with a measuring tape between the edge of the lower rib margin and the iliac crest. Waist circumference is classified by the criteria of HD Mc Charthy et al. 2001 [<xref ref-type="bibr" rid="scirp.58078-ref22">22</xref>] . Waist circumference with moderate risk ≥ 90<sup>th</sup> percentile and waist circumference with high risk ≥ 95<sup>th</sup> percentile.</p></sec><sec id="s2_3"><title>2.3. The Assessment of Dietary Intakes</title><p>The dietary assessment was based on the 24-hour recall (3 days including a weekend day) assisted by food records. We asked participants to specify certain type or brand of food, for example: type of milk (whole, low fat or skim), type of meat consumed (boiled, fried, or grilled). There were open questions for some food products, such as type of fruit, vegetables and snack. Nutrients adequacy ratio was calculated by dividing daily individual intake to dietary recommended intake [<xref ref-type="bibr" rid="scirp.58078-ref23">23</xref>] for each nutrient. The P/S is calculated by dividing the polyunsaturated fatty acids/saturated fatty acids.</p></sec><sec id="s2_4"><title>2.4. Determination of Physical Activity</title><p>Data collected from the global physical activity questioner GPAQ analysis guide and WHO steps instruments for chronic disease risk surveillance [<xref ref-type="bibr" rid="scirp.58078-ref24">24</xref>] .</p></sec></sec><sec id="s3"><title>3. Statistical Analysis</title><p>We used USDA’s nutritient database for Nutrinux<sup>&#174;</sup> program to analyze dietary intake. GenStat discovery 03 was used to conduct the statistical analysis. Groups were formed according to the quartile of total fat as percentage of energy intake. Cut points for quartiles were: 1<sup>st</sup>: Q1 &lt; 30%, 2<sup>nd</sup>: 30% ≤ Q2 ≤ 35%, 3<sup>rd</sup>: Q3 &gt; 35%. Chi-square test was used for evaluating the prevalence of overweight, obesity, and abdominal obesity across de consumption of lipids quartiles. To compare the variations of continuous variables across quartiles of fat intake, we used analysis of variance ANOVA, and comparison of means was performed by using Duncan’s test for significance level α = 0.05.</p><p>1-There are only one P value: There is one factor of comparison which is the increased percentage in the consumption of fat and the comparison is done between the three groups Q1 Q2 Q3 and its relationship with:</p><p><xref ref-type="table" rid="table1">Table 1</xref>: anthropometric characteristics,</p><p><xref ref-type="table" rid="table2">Table 2</xref>: Mean energy, macronutrient and fatty acids intake</p><p><xref ref-type="table" rid="table3">Table 3</xref>: Mean nutrient adequacy ratio</p><p>2-The significant difference among each group was presented using different superscript characters (a, b) was well explained:</p><p>a, a, a: there is no difference</p><p>a, b, c: all the parameters are different</p><p>a, a, b: there is some rapprochement between parameters 1 and 2 and the parameter 3 are different, and so on…</p></sec><sec id="s4"><title>4. Results</title><p>Anthropometric characteristics of adolescents across quartiles of percentage energy from total fat intake are presented in <xref ref-type="table" rid="table1">Table 1</xref>. A significant increase in age, weight, obesity and abdominal obesity in the higher quartiles in girls (P = 0.004, P = 0.008, P = 0.002, P = 0.010) was observed respectively. On the contrary, it was not a difference in boys. BMI increased significantly in the higher quartiles in both sexes. The frequency of the girls who walk at least 30 min/day decreased in the upper quartiles with a significant difference (P = 0.04), boys are more active than girls, although the intensity of physical activity did not differ in quartiles. <xref ref-type="table" rid="table2">Table 2</xref> shows the distribution of energy and nutrient intakes across the quartiles of dietary fat. We observed higher consumption of SFA, LA, ratio n-6/n-3 that exceeds the recommendations [<xref ref-type="bibr" rid="scirp.58078-ref12">12</xref>] in the different quartiles of fat in both sexes, the increase in total fat intake is associated with decreased intake of sugars and increased energy intake, protein, saturated fatty acids SFA, monounsaturated fatty acids MUFA, PUFA and P/S in both sexes. For boys, there is an increase Cholesterol, ALA (18:3n3) and decrease in the ratio n6/n3, Cholesterol remains in recommendations ≤ 300 mg/day [<xref ref-type="bibr" rid="scirp.58078-ref12">12</xref>] .</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Anthropometric characteristics according to the quartiles of fat intake in both sexes</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="3"  >Girls (n = 374, 52%)</th><th align="center" valign="middle"  rowspan="2"  ><sup>2</sup>P</th><th align="center" valign="middle"  colspan="3"  >Boys (n = 344, 48%)</th><th align="center" valign="middle"  rowspan="2"  ><sup>2</sup>P</th></tr></thead><tr><td align="center" valign="middle" >Q1 &lt; 30% (n = 176)</td><td align="center" valign="middle" >30% ≤ Q2 ≤ 35% (n = 156)</td><td align="center" valign="middle" >Q3 &gt; 35% (n = 42)</td><td align="center" valign="middle" >Q1 &lt; 30% (n = 99)</td><td align="center" valign="middle" >30% ≤ Q2 ≤ 35% (n = 194)</td><td align="center" valign="middle" >Q3 &gt; 35% (n = 51)</td></tr><tr><td align="center" valign="middle" >Age (year)</td><td align="center" valign="middle" >12.05a &#177; 0.141</td><td align="center" valign="middle" >12.06a &#177; 0.15</td><td align="center" valign="middle" >13.19b &#177; 0.36</td><td align="center" valign="middle" >0.002</td><td align="center" valign="middle" >13.18a &#177; 0.26</td><td align="center" valign="middle" >12.85a &#177; 0.19</td><td align="center" valign="middle" >13.56a &#177; 0.33</td><td align="center" valign="middle" >0.167</td></tr><tr><td align="center" valign="middle" >Weight (kg)</td><td align="center" valign="middle" >40.66a &#177; 0.94</td><td align="center" valign="middle" >40.08a &#177; 0.94</td><td align="center" valign="middle" >46.95b &#177; 20</td><td align="center" valign="middle" >0.004</td><td align="center" valign="middle" >42.80a &#177; 1.37</td><td align="center" valign="middle" >42.11a &#177; 1.04</td><td align="center" valign="middle" >45a &#177; 1.97</td><td align="center" valign="middle" >0.415</td></tr><tr><td align="center" valign="middle" >BMI (kg/m<sup>2</sup>)</td><td align="center" valign="middle" >17.94a &#177; 0.25</td><td align="center" valign="middle" >18.06a &#177; 0.29</td><td align="center" valign="middle" >20.07b &#177; 0.69</td><td align="center" valign="middle" >0.002</td><td align="center" valign="middle" >18.18a &#177; 0.40</td><td align="center" valign="middle" >18.28a &#177; 0.20</td><td align="center" valign="middle" >19.45b &#177; 0.05</td><td align="center" valign="middle" >0.047</td></tr><tr><td align="center" valign="middle" >BMI-25 (%)</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >11.5</td><td align="center" valign="middle" >21.4</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >9.8</td><td align="center" valign="middle" >0.89</td></tr><tr><td align="center" valign="middle" >BMI-30 (%)</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >1.3</td><td align="center" valign="middle" >7.2</td><td align="center" valign="middle" >0.008</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >5.9</td><td align="center" valign="middle" >0.09</td></tr><tr><td align="center" valign="middle" >W<sub>C</sub> ≥ 90th (%)</td><td align="center" valign="middle" >10.8</td><td align="center" valign="middle" >12.8</td><td align="center" valign="middle" >23.8</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >11.4</td><td align="center" valign="middle" >13.8</td><td align="center" valign="middle" >0.38</td></tr><tr><td align="center" valign="middle" >W<sub>C</sub> ≥ 95th (%)</td><td align="center" valign="middle" >1.2</td><td align="center" valign="middle" >5.8</td><td align="center" valign="middle" >9.5</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.6</td><td align="center" valign="middle" >7.8</td><td align="center" valign="middle" >0.12</td></tr><tr><td align="center" valign="middle" >Walking at least 30 min/day (%)</td><td align="center" valign="middle" >68</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >74.75</td><td align="center" valign="middle" >83.5</td><td align="center" valign="middle" >76.47</td><td align="center" valign="middle" >0.17</td></tr><tr><td align="center" valign="middle" >Vigorous Intensity sport (%) (≥1 h ≥3 days/week)</td><td align="center" valign="middle" >5.68</td><td align="center" valign="middle" >5.13</td><td align="center" valign="middle" >14.3</td><td align="center" valign="middle" >0.11</td><td align="center" valign="middle" >23.23</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >19.6</td><td align="center" valign="middle" >0.13</td></tr><tr><td align="center" valign="middle" >Moderate Intensity sport (%) (≥1 h ≥3 days/week)</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >19.23</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >0.66</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >20.5</td><td align="center" valign="middle" >21.57</td><td align="center" valign="middle" >0.33</td></tr></tbody></table></table-wrap><p><sup>1</sup>Values are mean &#177; SE unless indicated; <sup>a,b,c</sup>The different letters indicate significant differences between means according to Duncan’s test α = 0.05; <sup>2</sup>P Values resulted from ANOVA from analysis of variance for quantitative variables and χ<sup>2 </sup>from qualitative variables. BMI: body mass index; W<sub>C</sub>: waist circumference.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Mean energy, macronutrient and fatty acids intake according to quartiles of fat intake</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="3"  >Girls (n = 374)</th><th align="center" valign="middle"  rowspan="2"  ><sup>2</sup>P</th><th align="center" valign="middle"  colspan="3"  >Boys (n = 344)</th><th align="center" valign="middle"  rowspan="2"  ><sup>2</sup>P</th></tr></thead><tr><td align="center" valign="middle" >Q1 &lt; 30% (n = 176)</td><td align="center" valign="middle" >30% ≤ Q2 ≤ 35% (n = 156)</td><td align="center" valign="middle" >Q3 &gt; 35% (n = 42)</td><td align="center" valign="middle" >Q1 &lt; 30% (n = 99)</td><td align="center" valign="middle" >30% ≤ Q2 ≤ 35% (n = 194)</td><td align="center" valign="middle" >Q3 &gt; 35% (n = 51)</td></tr><tr><td align="center" valign="middle" >Energy (kcal/d)</td><td align="center" valign="middle" >1636.1a &#177; 5.85</td><td align="center" valign="middle" >1696.9b &#177; 6.31</td><td align="center" valign="middle" >1706b &#177; 16.38</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >1615.2a &#177; 0.26</td><td align="center" valign="middle" >1655.1b &#177; 0.19</td><td align="center" valign="middle" >1775c &#177; 0.33</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Protein (g/d)</td><td align="center" valign="middle" >49.59b &#177; 1.96</td><td align="center" valign="middle" >54.48a &#177; 0.49</td><td align="center" valign="middle" >53.39a &#177; 0.64</td><td align="center" valign="middle" >0.003</td><td align="center" valign="middle" >52.77a &#177; 0.64</td><td align="center" valign="middle" >55.06b &#177; 0.36</td><td align="center" valign="middle" >57.94c &#177; 0.99</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Carbohydrate (g/d)</td><td align="center" valign="middle" >195.9a &#177; 2.73</td><td align="center" valign="middle" >197.7a &#177; 1.89</td><td align="center" valign="middle" >189.8a &#177; 2.87</td><td align="center" valign="middle" >0.31</td><td align="center" valign="middle" >184.64a &#177; 1.81</td><td align="center" valign="middle" >182.15a &#177; 0.96</td><td align="center" valign="middle" >185.28a &#177; 3.11</td><td align="center" valign="middle" >0.306</td></tr><tr><td align="center" valign="middle" >Fiber (g/d)</td><td align="center" valign="middle" >27.85a &#177; 0.47</td><td align="center" valign="middle" >28.14a &#177; 0.50</td><td align="center" valign="middle" >26.12a &#177; 1.06</td><td align="center" valign="middle" >0.177</td><td align="center" valign="middle" >30.54a &#177; 0.53</td><td align="center" valign="middle" >30.90a &#177; 0.36</td><td align="center" valign="middle" >31.91a &#177; 0.76</td><td align="center" valign="middle" >0.298</td></tr><tr><td align="center" valign="middle" >Sugar (g/d)</td><td align="center" valign="middle" >72.22a &#177; 0.70</td><td align="center" valign="middle" >69.57ab &#177; 0.65</td><td align="center" valign="middle" >70.17b &#177; 1.74</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >70.49a &#177; 1.42</td><td align="center" valign="middle" >69.32ab &#177; 1.98</td><td align="center" valign="middle" >66.58b &#177; 0.78</td><td align="center" valign="middle" >0.03</td></tr><tr><td align="center" valign="middle" >Cholesterol (mg/d)</td><td align="center" valign="middle" >157.3a &#177; 1.74</td><td align="center" valign="middle" >162.5a &#177; 1.78</td><td align="center" valign="middle" >161.4a &#177; 3.58</td><td align="center" valign="middle" >0.107</td><td align="center" valign="middle" >164.3ab &#177; 3.77</td><td align="center" valign="middle" >157.5a &#177; 2.78</td><td align="center" valign="middle" >178.3b &#177; 8.99</td><td align="center" valign="middle" >0.008</td></tr><tr><td align="center" valign="middle" >SFA (g/d)</td><td align="center" valign="middle" >14.42a &#177; 0.18</td><td align="center" valign="middle" >15.04b &#177; 0.18</td><td align="center" valign="middle" >15.39b &#177; 0.51</td><td align="center" valign="middle" >0.018</td><td align="center" valign="middle" >12.43a &#177; 0.28</td><td align="center" valign="middle" >14.25b &#177; 0.20</td><td align="center" valign="middle" >14.60b &#177; 0.32</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >MUFA (g/d)</td><td align="center" valign="middle" >11.71a &#177; 0.09</td><td align="center" valign="middle" >13.134b &#177; 0.11</td><td align="center" valign="middle" >14.076c &#177; 0.24</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >10.89a &#177; 0.33</td><td align="center" valign="middle" >13.85b &#177; 0.20</td><td align="center" valign="middle" >13.63b &#177; 0.36</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >PUFA (g/d)</td><td align="center" valign="middle" >7.99a &#177; 0.23</td><td align="center" valign="middle" >10.37b &#177; 0.28</td><td align="center" valign="middle" >10.60b &#177; 0.52</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >6.81a &#177; 0.23</td><td align="center" valign="middle" >7.69b &#177; 0.21</td><td align="center" valign="middle" >6.07b &#177; 0.40</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >P/S</td><td align="center" valign="middle" >0.52a &#177; 0.02</td><td align="center" valign="middle" >0.69b &#177; 0.02</td><td align="center" valign="middle" >0.68b &#177; 0.04</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >0.55a &#177; 0.02</td><td align="center" valign="middle" >0.54a &#177; 0.02</td><td align="center" valign="middle" >0.42b &#177; 0.04</td><td align="center" valign="middle" >0.002</td></tr><tr><td align="center" valign="middle" >LA (18:2n-6)</td><td align="center" valign="middle" >11.605a &#177; 0.07</td><td align="center" valign="middle" >11.404a &#177; 0.07</td><td align="center" valign="middle" >11.402a &#177; 0.12</td><td align="center" valign="middle" >0.094</td><td align="center" valign="middle" >11.54a &#177; 0.09</td><td align="center" valign="middle" >11.52a &#177; 0.07</td><td align="center" valign="middle" >11.43a &#177; 0.12</td><td align="center" valign="middle" >0.766</td></tr><tr><td align="center" valign="middle" >ALA (18:3n-3)</td><td align="center" valign="middle" >1.16a &#177; 0.01</td><td align="center" valign="middle" >1.17b &#177; 0.01</td><td align="center" valign="middle" >1.18c &#177; 0.02</td><td align="center" valign="middle" >0.597</td><td align="center" valign="middle" >1.08a &#177; 0.02</td><td align="center" valign="middle" >1.16b &#177; 0.01</td><td align="center" valign="middle" >1.21b &#177; 0.02</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >ratio n-6/n-3</td><td align="center" valign="middle" >10.19a &#177; 0.12</td><td align="center" valign="middle" >10.03b &#177; 0.11</td><td align="center" valign="middle" >9.89c &#177; 0.20</td><td align="center" valign="middle" >0.392</td><td align="center" valign="middle" >10.91a &#177; 0.19</td><td align="center" valign="middle" >10.16b &#177; 0.12</td><td align="center" valign="middle" >9.64b &#177; 0.20</td><td align="center" valign="middle" >&lt;0.001</td></tr></tbody></table></table-wrap><p><sup>1</sup>Values are mean &#177; SE unless indicated, <sup>2</sup>P Values resulted from ANOVA from analysis of variance for quantitative variables; <sup>a,b,c</sup>The different letters indicate significant differences between means according to Duncan’s test α = 0.05; SFA: Saturated fatty acid, PUFA: Polyunsaturated fatty acid, MUFA: Monounsaturated fatty acid, P/S: PUFA/ SFA, LA (18:2n-6): linoleic acid, ALA (18:3n-3): alpha linolenic acid, Ratio n-6/n-3: LA (18:2n-6)/ ALA (18:3n-3).</p><p><xref ref-type="table" rid="table3">Table 3</xref> shows the nutritient adequacy ratio according to quartiles of dietary fat. The increase in fat intake is associated with a decrease of the nutritient adequacy ratio of folate, niacin, vitamin B6, iron, magnesium<sup> </sup>in both sexes, the nutritient adequacy ratio of vitamin C, riboflavin reduced only in girls (P = 0.043, P = 0029) respectively. The NARs of vitamin E, phosphorus, thiamin increase in both sexes with increasing fat intake, the NARs of calcium, retinol and vitamin D increase only in boys (P &lt; 0.001, P = 0.010, P = 0.010), respectively.</p></sec><sec id="s5"><title>5. Discussion</title><p>The results of this study showed a significant association between increased consumption of fat and body mass index in both sexes and obesity and abdominal obesity in girls. There was a significant increase in age, weight, obesity in the upper quartiles in girls; the age of girls affects their fat intake, when age of girls increased, their fat intake increased affects their weight, body mass index and obesity. Some studies also show the higher tendency of girls toward consuming fats at post-puberty stage, which can be a response to the changes of steroids level of the gonads [<xref ref-type="bibr" rid="scirp.58078-ref25">25</xref>] . We did not find a difference in boys despite increasing body mass index (P = 0.047). The increase in fat consumption is associated with a decrease in the frequency of walking in girls; boys are more active than girls despite that we did not find a difference in the intensity of sports activity (vigorous or moderate) in the different quartiles in both sexes. Physical activity provides fundamental health benefits for children and youth and appropriate levels of physical activity contribute to facilitate maintenance of a healthy body weight [<xref ref-type="bibr" rid="scirp.58078-ref26">26</xref>] . Children and youth aged 5 - 17 should accumulate at least 60 minutes of moderate―to vigorous―intensity physical activity daily. Vigorous-intensity activities should be incorporated at least 3 times per week [<xref ref-type="bibr" rid="scirp.58078-ref26">26</xref>] .</p><p>Excessive consumption, especially of lipids, and the imbalance of fatty acids in foods for humans are a cause of the development of obesity [<xref ref-type="bibr" rid="scirp.58078-ref27">27</xref>] , and the higher intake of carbohydrates from sweetened beverages, sugary</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Mean nutrient adequacy ratio across quartile of fat intake</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="3"  >Girls (n = 374)</th><th align="center" valign="middle"  rowspan="2"  ><sup>2</sup>P</th><th align="center" valign="middle"  colspan="3"  >Boys (n = 344)</th><th align="center" valign="middle"  rowspan="2"  ><sup>2</sup>P</th></tr></thead><tr><td align="center" valign="middle" >Q1 &lt; 30% (n = 176)</td><td align="center" valign="middle" >30% ≤ Q2 ≤ 35% (n = 156)</td><td align="center" valign="middle" >Q3 &gt; 35% (n = 42)</td><td align="center" valign="middle" >Q1 &lt; 30% (n = 99)</td><td align="center" valign="middle" >30% ≤ Q2 ≤ 35% (n = 194)</td><td align="center" valign="middle" >Q3 &gt; 35% (n = 51)</td></tr><tr><td align="center" valign="middle" >Calcium/DRI<sup>‡</sup></td><td align="center" valign="middle" >0.311a &#177; 0.05</td><td align="center" valign="middle" >0.327a &#177; 0.01</td><td align="center" valign="middle" >0.308a &#177; 0.01</td><td align="center" valign="middle" >0.154</td><td align="center" valign="middle" >0.321a &#177; 0.01</td><td align="center" valign="middle" >0.320a &#177; 0.01</td><td align="center" valign="middle" >0.352b &#177; 0,01</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Phosphorus/DRI<sup>‡</sup></td><td align="center" valign="middle" >0.632a &#177; 0.01</td><td align="center" valign="middle" >0.679b &#177; 0.01</td><td align="center" valign="middle" >0.689b &#177; 0.01</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >0.619a &#177; 0.01</td><td align="center" valign="middle" >0.692b &#177; 0.01</td><td align="center" valign="middle" >0.772c &#177; 0.01</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Iron/DRI<sup>†</sup></td><td align="center" valign="middle" >0.980a &#177; 0.05</td><td align="center" valign="middle" >1.120b &#177; 0.02</td><td align="center" valign="middle" >1.030a &#177; 0.02</td><td align="center" valign="middle" >0.007</td><td align="center" valign="middle" >1.017a &#177; 0.03</td><td align="center" valign="middle" >1.173b &#177; 0.04</td><td align="center" valign="middle" >1.117c &#177; 0.02</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Magnesium/DRI<sup>†</sup></td><td align="center" valign="middle" >0.920a &#177; 0.02</td><td align="center" valign="middle" >1.160b &#177; 0.07</td><td align="center" valign="middle" >1.100b &#177; 0.02</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >0.823a &#177; 0.03</td><td align="center" valign="middle" >1.132b &#177; 0.05</td><td align="center" valign="middle" >1.036b &#177; 0.02</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Sodium/DRI<sup>†</sup></td><td align="center" valign="middle" >1.298a &#177; 0.01</td><td align="center" valign="middle" >1.326a &#177; 0.01</td><td align="center" valign="middle" >1.310a &#177; 0.02</td><td align="center" valign="middle" >0.091</td><td align="center" valign="middle" >1.278a &#177; 0.01</td><td align="center" valign="middle" >1.276a &#177; 0.01</td><td align="center" valign="middle" >1.307a &#177; 0.02</td><td align="center" valign="middle" >0.128</td></tr><tr><td align="center" valign="middle" >Potassium/DRI<sup>‡</sup></td><td align="center" valign="middle" >0.505a &#177; 0.01</td><td align="center" valign="middle" >0.529a &#177; 0.01</td><td align="center" valign="middle" >0.491a &#177; 0.01</td><td align="center" valign="middle" >0.118</td><td align="center" valign="middle" >0.504a &#177; 0.01</td><td align="center" valign="middle" >0.592a &#177; 0.04</td><td align="center" valign="middle" >0.540a &#177; 0.01</td><td align="center" valign="middle" >0.248</td></tr><tr><td align="center" valign="middle" >Vitamin B12/DRI<sup>†</sup></td><td align="center" valign="middle" >0.744a &#177; 0.01</td><td align="center" valign="middle" >0.713a &#177; 0.01</td><td align="center" valign="middle" >0.720a &#177; 0.02</td><td align="center" valign="middle" >0.077</td><td align="center" valign="middle" >0.823a &#177; 0.03</td><td align="center" valign="middle" >0.747a &#177; 0.01</td><td align="center" valign="middle" >0.747a &#177; 0.03</td><td align="center" valign="middle" >0.199</td></tr><tr><td align="center" valign="middle" >Vitamin B6/DRI<sup>†</sup></td><td align="center" valign="middle" >1.053a &#177; 0.01</td><td align="center" valign="middle" >1.149b &#177; 0.01</td><td align="center" valign="middle" >1.088a &#177; 0.03</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >0.936a &#177; 0.02</td><td align="center" valign="middle" >1.094b &#177; 0.03</td><td align="center" valign="middle" >1.055b &#177; 0.02</td><td align="center" valign="middle" >0.01</td></tr><tr><td align="center" valign="middle" >Vitamin C/DRI<sup>‡</sup></td><td align="center" valign="middle" >0.917a &#177; 0.02</td><td align="center" valign="middle" >0.898a &#177; 0.02</td><td align="center" valign="middle" >0.804b &#177; 0.05</td><td align="center" valign="middle" >0.0430</td><td align="center" valign="middle" >0.796a &#177; 0.03</td><td align="center" valign="middle" >0.805a &#177; 0.02</td><td align="center" valign="middle" >0.734a &#177; 0.03</td><td align="center" valign="middle" >0.199</td></tr><tr><td align="center" valign="middle" >Vitamin E/DRI<sup>†</sup></td><td align="center" valign="middle" >0.740a &#177; 0.03</td><td align="center" valign="middle" >1.261b &#177; 0.06</td><td align="center" valign="middle" >1.417b &#177; 0.21</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.569a &#177; 0.04</td><td align="center" valign="middle" >0.739b &#177; 0.02</td><td align="center" valign="middle" >0.897c &#177; 0.04</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Vitamin D/DRI<sup>†</sup></td><td align="center" valign="middle" >1.584a &#177; 0.03</td><td align="center" valign="middle" >1.588a &#177; 0.01</td><td align="center" valign="middle" >1.591a &#177; 0.01</td><td align="center" valign="middle" >0.706</td><td align="center" valign="middle" >1.577a &#177; 0.01</td><td align="center" valign="middle" >1.585a &#177; 0.01</td><td align="center" valign="middle" >1.628b &#177; 0.01</td><td align="center" valign="middle" >0.01</td></tr><tr><td align="center" valign="middle" >Folate/DRI<sup>‡</sup></td><td align="center" valign="middle" >0.562a &#177; 0.01</td><td align="center" valign="middle" >0.634b &#177; 0.01</td><td align="center" valign="middle" >0.601ab &#177; 0.02</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >0.528a &#177; 0.02</td><td align="center" valign="middle" >0.674b &#177; 0.02</td><td align="center" valign="middle" >0.644b &#177; 0.01</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Niacin/DRI<sup>†</sup></td><td align="center" valign="middle" >0.923a &#177; 0.01</td><td align="center" valign="middle" >1.142a &#177; 0.09</td><td align="center" valign="middle" >0.912ab &#177; 0.02</td><td align="center" valign="middle" >0.020</td><td align="center" valign="middle" >0.825a &#177; 0.02</td><td align="center" valign="middle" >0.898b &#177; 0.02</td><td align="center" valign="middle" >0.885b &#177; 0.01</td><td align="center" valign="middle" >0.01</td></tr><tr><td align="center" valign="middle" >R&#233;tinol/DRI <sup>‡</sup></td><td align="center" valign="middle" >0.267a &#177; 0.01</td><td align="center" valign="middle" >0.260a &#177; 0.01</td><td align="center" valign="middle" >0.251a &#177; 0.01</td><td align="center" valign="middle" >0.052</td><td align="center" valign="middle" >0.825a &#177; 0.01</td><td align="center" valign="middle" >0.885b &#177; 0.01</td><td align="center" valign="middle" >0.898b &#177; 0.01</td><td align="center" valign="middle" >0.01</td></tr><tr><td align="center" valign="middle" >Riboflavin/DRI<sup>†</sup></td><td align="center" valign="middle" >0.915a &#177; 0.02</td><td align="center" valign="middle" >0.879b &#177; 0.01</td><td align="center" valign="middle" >0.846ab &#177; 0.02</td><td align="center" valign="middle" >0.029</td><td align="center" valign="middle" >0.248a &#177; 0.02</td><td align="center" valign="middle" >0.241a &#177; 0.01</td><td align="center" valign="middle" >0.253a &#177; 0.03</td><td align="center" valign="middle" >0.432</td></tr><tr><td align="center" valign="middle" >Thiamin/DRI<sup>†</sup></td><td align="center" valign="middle" >0.823a &#177; 0.02</td><td align="center" valign="middle" >1.051b &#177; 0.02</td><td align="center" valign="middle" >1.108ab &#177; 0.03</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >0.680a &#177; 0.03</td><td align="center" valign="middle" >0.984b &#177; 0.02</td><td align="center" valign="middle" >1.163c &#177; 0.04</td><td align="center" valign="middle" >&lt;0.001</td></tr></tbody></table></table-wrap><p><sup>1</sup>Values are mean &#177; SE unless indicated, <sup>2</sup>P Values resulted from ANOVA from analysis of variance for quantitative variables; <sup>a,b,c</sup>The different letters indicate significant differences between means according to Duncan’s test α = 0.05; <sup>†</sup>Adequate intake is considered as DRI, <sup>‡</sup>Recommended dietary allowance is considered as DRI.</p><p>cereals and industrial snacks, especially consumed and preferred, has been associated with overweight and obesity in school-age children [<xref ref-type="bibr" rid="scirp.58078-ref28">28</xref>] . Sweetened beverage consumption has also been linked to obesity and type 2 diabetes [<xref ref-type="bibr" rid="scirp.58078-ref29">29</xref>] and coronary heart disease [<xref ref-type="bibr" rid="scirp.58078-ref30">30</xref>] .</p><p>A lower total fat consumption leads to low but durable significant reduction (statistically and clinically) body weight in adults, the evidence supports a similar effect in children and young people [<xref ref-type="bibr" rid="scirp.58078-ref31">31</xref>] , The percentage of the population that is obese and coronary heart disease rates across countries [<xref ref-type="bibr" rid="scirp.58078-ref32">32</xref>] . Populations with relatively high intakes of saturated fat, especially animal fat and cholesterol, have relatively high serum cholesterol levels and high incidence of coronary heart disease compared to people with low intakes of fat [<xref ref-type="bibr" rid="scirp.58078-ref33">33</xref>] . Evidence from cohort studies reported conflicting results on total fat intake and the positive association with type 2diabetes [<xref ref-type="bibr" rid="scirp.58078-ref34">34</xref>] .</p><p>Different types of fatty acids display different metabolic behaviors such as oxidation and deposition rate differences that may contribute to weight change [<xref ref-type="bibr" rid="scirp.58078-ref35">35</xref>] . Although monounsaturated fatty acids and polyunsaturated fatty acids were not associated with changes in weight, animal fat, saturated fatty acids and Trans fatty acids have shown a positive association with 8 years of weight gain [<xref ref-type="bibr" rid="scirp.58078-ref36">36</xref>] . Contrary to the findings of the Swedish study, that reports some weak associations only in women, between the type of fatty acids and weight change: weight gain was inversely associated with saturated fatty acids consumption and positively associated au P/S ratio [<xref ref-type="bibr" rid="scirp.58078-ref37">37</xref>] . High consumption of saturated and Trans fats are associated with chronic diseases linked to obesity [<xref ref-type="bibr" rid="scirp.58078-ref38">38</xref>] . The majority of this population of adolescents needs to improve their intakes of calcium, the proportion did not differ by quartile of fat intake, inadequate intake of calcium would lead to increased appetite and overconsumption of fat [<xref ref-type="bibr" rid="scirp.58078-ref39">39</xref>] , a small amount of calcium is associated with increased adiposity. Different studies support an inverse relationship between calcium intake and the development of body fat [<xref ref-type="bibr" rid="scirp.58078-ref40">40</xref>] . Calcium was also required for an effective weight reduction program [<xref ref-type="bibr" rid="scirp.58078-ref35">35</xref>] . Davies et al. 2000 [<xref ref-type="bibr" rid="scirp.58078-ref41">41</xref>] noted a negative association between calcium intake and weight in young, middle-aged and older women and calculated that 1g calcium intake difference was associated with an 8kg difference in body weight [<xref ref-type="bibr" rid="scirp.58078-ref35">35</xref>] . Vitamin C may affect weight reduction [<xref ref-type="bibr" rid="scirp.58078-ref35">35</xref>] . Few studies have reported a significant inverse relationship between plasma vitamin C concentrations and degree of obesity [<xref ref-type="bibr" rid="scirp.58078-ref42">42</xref>] . Insufficient intake of fruits and vegetables often results in increased consumption of higher calorie foods [<xref ref-type="bibr" rid="scirp.58078-ref43">43</xref>] , adequate intake of fruits and vegetables reduces the risk of cardiovascular disease and certain types of cancer and it helps regulate body weight [<xref ref-type="bibr" rid="scirp.58078-ref44">44</xref>] .</p></sec><sec id="s6"><title>6. Conclusion</title><p>Higher dietary fat intake was associated with poor diet quality and higher body mass index in both sexes and high prevalence of obesity and abdominal obesity among adolescent’s girls in Tlemcen. We recommended adolescent by healthy diets towards helps regulate their body weight and reduces the risk of cardiovascular disease and some types of cancer and especially the girls by lifestyle more active.</p></sec><sec id="s7"><title>Acknowledgements</title><p>The authors wish to thank all the students and their parents for their kind participation in this study, and the administrators and teachers of schools in Tlemcen who participated in this study and all the people who helped made to the data collection.</p></sec><sec id="s8"><title>Cite this paper</title><p>MeryemAllioua,RabahDjaziri,Moustafa YassineMahdad,Semir Bechir SuheilGaouar,HarekDerradji,Boumediene MoussaBoudjemaa,SlimaneBelbraouet, (2015) Dietary Fat Intake, Micronutritient and Obesity among Adolescent in Tlemcen (Western Algeria). Food and Nutrition Sciences,06,860-868. doi: 10.4236/fns.2015.610090</p></sec><sec id="s9"><title>Abbreviations</title><p>BMI: body mass index</p><p>Wc: waist circumference</p><p>IOTF: International Obesity Task Force</p><p>USDA: United States Department of Agriculture</p><p>SFA: saturated fatty acid</p><p>MUFA: monounsaturated fatty acid</p><p>PUFA: polyunsaturated fatty acid, ratio</p><p>P/S: PUFA/SFA</p><p>LA(18:2n-6): linoleic acid</p><p>ALA(18:3n-3): alpha linolenic acid</p><p>ratio n-6/n-3: LA(18:2n-6)/ALA(18:3n-3)</p><p>NAR: nutrient adequacy ratio</p><p>DRI: dietary recommended intake</p><p>GPAQ: global physical activity questioner</p></sec></body><back><ref-list><title>References</title><ref id="scirp.58078-ref1"><label>1</label><mixed-citation publication-type="book" xlink:type="simple">Drewnowski, A. and Almiron-Roig, E. (2010) Chapter 11 Human Perceptions and Preferences for Fat-Rich Foods. In: Montmayeur, J.P. and Le Coutre, J., Eds., Fat Detection: Taste, Texture, and Post Ingestive Effects, CRC Press, Boca Raton, 265. http://www.ncbi.nlm.nih.gov/books/NBK53528/</mixed-citation></ref><ref id="scirp.58078-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Azadbakht, L., Surkan, P.J., Esmaillzadeh, A. and Willett, W.C. (2011) The Dietary Approaches to Stop Hypertension Eating Plan Affects C-Reactive Protein, Coagulation Abnormalities, and Hepatic Function Tests among Type 2 Diabetic Patients. Journal of Nutrition, 141, 1083-1088. http://dx.doi.org/10.3945/jn.110.136739</mixed-citation></ref><ref id="scirp.58078-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Esmaillzadeh, A. and Azadbakht, L. (2011) Dietary Energy Density and the Metabolic Syndrome among Iranian Women. European Journal of Clinical Nutrition, 65, 598-605. http://dx.doi.org/10.1038/ejcn.2010.284</mixed-citation></ref><ref id="scirp.58078-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Tirosh, A., Shai, I., Afek, A., et al. (2011) Adolescent BMI Trajectory and Risk of Diabetes versus Coronary Disease. The New England Journal of Medicine, 364, 1315-1325. http://dx.doi.org/10.1056/NEJMoa1006992</mixed-citation></ref><ref id="scirp.58078-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Kavey, R.E., Daniels, S.R., Lauer, R.M., Atkins, D.L., Hayman, L.L. and Taubert, K. (2003) American Heart A: American Heart Association Guidelines for Primary Prevention of Atherosclerotic Cardiovascular Disease Beginning in Childhood. Circulation, 107, 1562-1566. http://dx.doi.org/10.1161/01.CIR.0000061521.15730.6E</mixed-citation></ref><ref id="scirp.58078-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Linos, E., Willett, W.C., Cho, E. and Frazier, L. (2010) Adolescent Diet in Relation to Breast Cancer Risk among Premenopausal Women. Cancer Epidemiology, Biomarkers &amp; Prevention, 19, 689-696.  
http://dx.doi.org/10.1158/1055-9965.EPI-09-0802</mixed-citation></ref><ref id="scirp.58078-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Huang, R.-C. and Beilin, L. (2012) Adolescent BMI Is Independently Associated with the Development of Coronary Heart Disease. Evidence Based Medicine, 17, 35-36. http://dx.doi.org/10.1136/ebm.2011.100250</mixed-citation></ref><ref id="scirp.58078-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Inge, T.H., King, W.C., et al. (2013) The Effect of Obesity in Adolescence on Adult Health Status. Pediatrics, 132, 1098-1104. http://dx.doi.org/10.1542/peds.2013-2185</mixed-citation></ref><ref id="scirp.58078-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">World Health Organization 2014-Noncommunicable Diseases (NCD) Country Profiles Algeria.</mixed-citation></ref><ref id="scirp.58078-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Krauss, R.M., Eckel, R.H., Howard, B., et al. (2000) AHA Dietary Guidelines, a Statement for Healthcare Professionals from the Nutrition Committee of the American Heart Association. Circulation, 102, 2296-311.  
http://dx.doi.org/10.1161/01.CIR.102.18.2284</mixed-citation></ref><ref id="scirp.58078-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Kremmyda, L.S., Tvrzicka, E., Stankova, B. and Zak, A. (2011) Fatty Acids as Biocompounds: Their Role in Human Metabolism, Health and Disease—A Review. Part 2: Fatty Acid Physiological Roles and Applications in Human Health and Disease. Biomedical Papers, 155, 195-218. http://dx.doi.org/10.5507/bp.2011.052</mixed-citation></ref><ref id="scirp.58078-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Chevallier, L. (2009) Nutrition: Principes et conseils. Elsevier Health Sciences, Paris.</mixed-citation></ref><ref id="scirp.58078-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Burlingame, B., Nishida, C., Uauy, R. and Weisell, R. (2009) Fats and Fatty Acids in Human Nutrition: Introduction. Annals of Nutrition and Metabolism, 55, 5-7. http://dx.doi.org/10.1159/000228993</mixed-citation></ref><ref id="scirp.58078-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Swinburn, B.A., Sacks, G., Lo, S.K., Westerterp, K.R., Rush, E.C., Rosenbaum, M., Luke, A., Schoeller, D.A., DeLany, J.P., Butte, N.F. and Ravussin, E. (2009) Estimating the Changes in Energy Flux That Characterize the Rise in Obesity Prevalence. American Journal of Clinical Nutrition, 89, 1723-1728. 
http://dx.doi.org/10.3945/ajcn.2008.27061</mixed-citation></ref><ref id="scirp.58078-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Pepino, M.Y., Finkbeiner, S. and Mennella, J.A. (2009) Similarities in Food Cravings and Mood States between Obese Women and Women Who Smoke Tobacco. Obesity, 17, 1158-1163. http://dx.doi.org/10.1038/oby.2009.46</mixed-citation></ref><ref id="scirp.58078-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Centers of Disease Control and Prevention (2014) National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health. CDC, Atlanta. www.cdc.gov/healthyyouth/obesity/facts.htm</mixed-citation></ref><ref id="scirp.58078-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">GSHS (2013) Global School-Based Student Health Survey. Algeria-CDC Global School-Based Student Health Survey. Centers for Disease Control and Prevention, Atlanta. http://www.cdc.gov/gshs/countries/africa/algeria.htm</mixed-citation></ref><ref id="scirp.58078-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Jenkins, S. and Horner, S.D. (2005) Barriers That Influence Eating Behaviors in Adolescents. Journal of Pediatric Nursing, 20, 258-267. http://dx.doi.org/10.1016/j.pedn.2005.02.014</mixed-citation></ref><ref id="scirp.58078-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Pouraram, H., Abtahi, M., Djazayeri, A., Eshraghian, M.R. and Khodadadi, E. (2013) Dietary Pattern of Adolescent Girls in Relation to Socio-Economic Factors: A Comparison between North and South Tehran. Journal of Paramedical Sciences, 4.</mixed-citation></ref><ref id="scirp.58078-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Farida, A., et al. (2011) &amp;EACUTE;tude de surpoids, de l’ob&amp;eacute;sit&amp;eacute; et des facteurs associ&amp;eacute;s au surpoids chez les &amp;eacute;lèves du cycle moyen scolarises dans les collèges publics de l’EPSP Bouzar&amp;eacute;ah, ALGERIE.</mixed-citation></ref><ref id="scirp.58078-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Cole, T.J., Bellizzi, M.C., Flegal, K.M. and Dietz, W.H. (2000) Establishing a Standard Definition for Child Overweight and Obesity Worldwide: International Survey. British Medical Journal, 320, 1240. 
http://dx.doi.org/10.1136/bmj.320.7244.1240</mixed-citation></ref><ref id="scirp.58078-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">McCarthy, H.D., Jarrett, K.V. and Crawley, H.F. (2001) Original Communications—The Development of Waist Circumference Percentiles in British Children Aged 5.0 - 16.9 y. European Journal of Clinical Nutrition, 55, 902-907. 
http://dx.doi.org/10.1038/sj.ejcn.1601240</mixed-citation></ref><ref id="scirp.58078-ref23"><label>23</label><mixed-citation publication-type="book" xlink:type="simple">Escott-Stump, S. and Mahan, L. (2008) Dietary Reference Intakes (DRIs): Recommended Intakes for Individuals, Vitamin/Mineral. In: Escott-Stump, S. and Mahan, L., Eds., Krause’s Food &amp; Nutrition Therapy, 12th Edition, Saunders Elsevier, Philadelphia.</mixed-citation></ref><ref id="scirp.58078-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">http://www.who.int/chp/steps/GPAQ/en/</mixed-citation></ref><ref id="scirp.58078-ref25"><label>25</label><mixed-citation publication-type="book" xlink:type="simple">Golden, B.E. (2000) Infancy, Childhood and Adolescence. In: Garrow, J.S., James, W.P.T. and Ralph, A., Eds., Human Nutrition and Dietetics, 10th Edition, Churchill Livingstone, London, 449-451.</mixed-citation></ref><ref id="scirp.58078-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">WHO (2011) http://www.who.int/dietphysicalactivity/pa/en/index.html.</mixed-citation></ref><ref id="scirp.58078-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Ailhaud, G., Massiera, F., Weill, P., Legrand, P., Alessandri, J.M. and Guesnet, P. (2006) Temporal Changes in Dietary Fats: Role of n-6 Polyunsaturated Fatty Acids in Excessive Adipose Tissue Development and Relationship to Obesity. Progress in Lipid Research, 45, 203-236. http://dx.doi.org/10.1016/j.plipres.2006.01.003</mixed-citation></ref><ref id="scirp.58078-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Rodriguez-Ramirez, S., Mundo-Rosas, V., Garcia-Guerra, A. and Shamah-Levy, T. (2011) Dietary Patterns Are Associated with Overweight and Obesity in Mexican School-Age Children. Archivos Latinoamericanos de Nutrición, 61, 270-278.</mixed-citation></ref><ref id="scirp.58078-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Hu, F.B. and Malik, V.S. (2010) Sugar-Sweetened Beverages and Risk of Obesity and Type 2 Diabetes: Epidemiologic Evidence. Physiology &amp; Behavior, 100, 47-54. http://dx.doi.org/10.1016/j.physbeh.2010.01.036</mixed-citation></ref><ref id="scirp.58078-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">de Koning, L., Malik, V.S., Kellogg, M.D., Rimm, E.B., Willett, W.C. and Hu, F.B. (2012) Sweetened Beverage Consumption, Incident Coronary Heart Disease, and Biomarkers of Risk in Men. Circulation, 125, 1735-1741. 
http://dx.doi.org/10.1161/CIRCULATIONAHA.111.067017</mixed-citation></ref><ref id="scirp.58078-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Hooper, L., Abdelhamid, A., Moore, H.J., Douthwaite, W., Skeaff, C.M. and Summerbell, C.D. (2012) Effect of Reducing Total Fat Intake on Body Weight: Systematic Review and Meta-Analysis of Randomised Controlled Trials and Cohort Studies. British Medical Journal, 345, Article ID: e7666.</mixed-citation></ref><ref id="scirp.58078-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Bray, G.A. and Popkin, B.M. (1998) Dietary Fat Intake Does Affect Obesity! The American Journal of Clinical Nutrition, 68, 1157-1173.</mixed-citation></ref><ref id="scirp.58078-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Aranceta, J. and P&amp;eacute;rez-Rodrigo, C. (2012) Recommended Dietary Reference Intakes, Nutritional Goals and Dietary Guidelines for Fat and Fatty Acids: A Systematic Review. British Journal of Nutrition, 107, S8-S22. 
http://dx.doi.org/10.1017/s0007114512001444</mixed-citation></ref><ref id="scirp.58078-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Keys, A., Menotti, A., Karvonen, M.J., Aravanis, C., Blackburn, H., Buzina, R., et al. (1986) The Diet and 15-Year Death Rate in the Seven Countries Study. American Journal of Epidemiology, 124, 903-915.</mixed-citation></ref><ref id="scirp.58078-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Chaturvedi, R. and Singh, N. (2013) Nutritional Factors as Catalyst for Weight Reduction. Nutrition &amp; Food Science, 43, 467-474. http://dx.doi.org/10.1108/NFS-09-2012-0098</mixed-citation></ref><ref id="scirp.58078-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Field, A.E., Willett, W.C., Lissner, L. and Colditz, G.A. (2007) Dietary Fat and Weight Gain among Women in the Nurses’ Health Study. Obesity, 15, 967-976. http://dx.doi.org/10.1038/oby.2007.616</mixed-citation></ref><ref id="scirp.58078-ref37"><label>37</label><mixed-citation publication-type="other" xlink:type="simple">Forouhi, N.G., Sharp, S.J., Du, H., van der, A.D.L., Halkjaer, J., Schulze, M.B., et al. (2009) Dietary Fat Intake and Subsequent Weight Change in Adults: Results from the European Prospective Investigation into Cancer and Nutrition Cohorts. American Journal of Clinical Nutrition, 90, 1632-1641. http://dx.doi.org/10.3945/ajcn.2009.27828</mixed-citation></ref><ref id="scirp.58078-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">Lunn, J. and Theobald, H. (2006) The Health Effects of Dietary Unsaturated Fatty Acids. Nutrition Bulletin, 31, 178-224. http://dx.doi.org/10.1111/j.1467-3010.2006.00571.x</mixed-citation></ref><ref id="scirp.58078-ref39"><label>39</label><mixed-citation publication-type="other" xlink:type="simple">Major, J.C., Alarie, F.P., Dor&amp;eacute;, J. and Tremblay, A. (2008) Calcium plus Vitamin D Supplementation and Fat Mass Loss in Female Very Low Calcium Consumers: Potential Link with a Calcium-Specific Appetite Control. British Journal of Nutrition, 101, 659-663. http://dx.doi.org/10.1017/S0007114508030808</mixed-citation></ref><ref id="scirp.58078-ref40"><label>40</label><mixed-citation publication-type="other" xlink:type="simple">Laville, M., Leston, N. and De Rougemont, A. (2004) Pr&amp;eacute;vention de l'ob&amp;eacute;sit&amp;eacute; par le calcium. Sciences des aliments, 24, 187-192. http://dx.doi.org/10.3166/sda.24.187-192</mixed-citation></ref><ref id="scirp.58078-ref41"><label>41</label><mixed-citation publication-type="other" xlink:type="simple">Davies, K.M., Heaney, R.P., Recker, R.R., Lappe, J.M., Barger-Lux, M.J., Rafferty, K. and Hinders, S. (2000) Calcium Intake and Body Weight. Journal of Clinical Endocrinology and Metabolism, 85, 4635-4638.</mixed-citation></ref><ref id="scirp.58078-ref42"><label>42</label><mixed-citation publication-type="other" xlink:type="simple">Kant, A.K. (2003) Interaction of Body Mass Index and Attempt to Lose Weight in a National Sample of US Adults: Association with Reported Food and Nutrient Intake, and Biomarkers. European Journal of Clinical Nutrition, 57, 249-259. http://dx.doi.org/10.1038/sj.ejcn.1601549</mixed-citation></ref><ref id="scirp.58078-ref43"><label>43</label><mixed-citation publication-type="other" xlink:type="simple">P&amp;eacute;rez, C.E. (2002) Consommation de fruits et de l&amp;eacute;gumes. Rapports sur la sant&amp;eacute;, produit no 82-003, au catalogue de Statistique Canada, Volume 13, 25-34. http://www.statcan.gc.ca/pub/82-625-x/2011001/article/11461-fra.htm</mixed-citation></ref><ref id="scirp.58078-ref44"><label>44</label><mixed-citation publication-type="other" xlink:type="simple">Crowe, F.L., Roddam, A.W., Key, T.J., Appleby, P.N., Overvad, K., Jakobsen, M.U., et al. (2011) Fruit and Vegetable Intake and Mortality from Ischaemic Heart Disease: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Heart Study. European Heart Journal, 32, 1235-1243. http://dx.doi.org/10.1093/eurheartj/ehq465</mixed-citation></ref></ref-list></back></article>