<?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">OJGas</journal-id><journal-title-group><journal-title>Open Journal of Gastroenterology</journal-title></journal-title-group><issn pub-type="epub">2163-9450</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojgas.2017.72009</article-id><article-id pub-id-type="publisher-id">OJGas-74223</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Prevalence and Correlates of Overweight and Obesity among School Children in Sohag, Egypt
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Soumaya</surname><given-names>El Sayed Ahmed Hadhood</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>Rasha</surname><given-names>Abd Elhameed Ali</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Montaser</surname><given-names>Mohamed Mohamed</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>Eman</surname><given-names>Soliman Mohammed</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Faculty of Medicine, Pediatrics Department, Sohag University, Sohag, Egypt</addr-line></aff><aff id="aff2"><addr-line>Faculty of Medicine, Public Health and Community Medicine Department, Sohag University, Sohag, Egypt</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>rashaali815@yahoo.com(RAEA)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>08</day><month>02</month><year>2017</year></pub-date><volume>07</volume><issue>02</issue><fpage>75</fpage><lpage>88</lpage><history><date date-type="received"><day>January</day>	<month>12,</month>	<year>2017</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>February</month>	<year>17,</year>	</date><date date-type="accepted"><day>February</day>	<month>20,</month>	<year>2017</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: Continually rising prevalence of obesity and overweight in children and adolescents is a major public health concern. This is due to its various and serious health hazards on one side and its preventable nature on the other side. This study aims at identification of prevalence of overweight and obesity and its risk factors among children between 6 - 14 years of age in Sohag, Egypt. Method: A cross sectional study was conducted on 711 school children between 6 - 14 years in four months’ period from February to May 2016. Weight and height of the studied children were measured to calculate BMI, which was compared with standard Egyptian growth charts for determining overweight and obesity. Then a questionnaire containing data about socio demographic, parental obesity, early life and dietary risk factors was completed by the children’s parents. Result: Out of 711 studied children, 117 (16.5%) were overweight and 104 (14.6%) were obese. Residing in urban area, having an obese parent or both of them, low level of maternal education, being on formula feeding during early life and lack of fresh vegetables and fruits in diets were significant risk factors for overweight and obesity in the studied children (P value &lt; 0.05). Conclusion: Improperly educated mothers together with sedentary life style manifested in obesity among the parents and lack of sport practice among children constituted the majors risk factors for childhood obesity. This emphasizes the need for increased health awareness of the community about the importance of proper nutrition and physical activity.
 
</p></abstract><kwd-group><kwd>Childhood Overweight and Obesity</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Obesity is a form of malnutrition that often results from an imbalance between food intake and energy utilization. Overweight and obesity in children and adolescents are considered global epidemic. Recent statistics show that, 16% of children, 6 - 11 years old, are overweight [<xref ref-type="bibr" rid="scirp.74223-ref1">1</xref>] . In actual numbers, the estimate suggested that 150 - 160 million school-age children worldwide were overweight, of which, 35 - 40 million were obese [<xref ref-type="bibr" rid="scirp.74223-ref2">2</xref>] . Statistics also show that, prevalence of overweight continues to increase during the school age and adolescent stages [<xref ref-type="bibr" rid="scirp.74223-ref3">3</xref>] .</p><p>Obesity in childhood increases the risk of development of metabolic syndrome, diabetes mellitus, cardiovascular and even fatty liver in later life. Asthma, shortness of breath and sleep apnea are common respiratory problems associated with obesity. Children who are obese also have a negative body-image, which leads to lower self-esteem. In Egypt, obesity among school age children constitutes an emerging concern; the Egyptian Medical Association for the Study of Obesity in early 2010 estimates that 15 percent of Egyptian (school-age) children are obese, in comparison with its 1990’s estimate of only six percent. The rapid increase in prevalence of overweight and obesity signals that development of strategies to face such problem is a health priority [<xref ref-type="bibr" rid="scirp.74223-ref4">4</xref>] .</p><p>The etiology of childhood obesity is poorly understood. Obesity is not a single disorder but a heterogeneous group of conditions with multiple causes. Body weight is determined by an interaction between genetic, environmental and psy- chosocial factors acting through the physiological mediators of energy intake and expenditure. Although genetic differences are of undoubted importance, the marked increase in the prevalence of both overweight and obesity is best explained by behavioral and environmental changes that are results of technological advances [<xref ref-type="bibr" rid="scirp.74223-ref5">5</xref>] . These changes had resulted in increased intake of large quantities of foods high in sugar and energy-rich foods combined with lack of physical exercise. Sedentary lifestyle resulting from spending most of the day watching television, or playing computer or video games is considered a serious factor for obesity. Role of environmental effects on body weight is well noticed in various settings such as at home, in school, and in the community. At home, parents can improve children’s food choices and motivate them to practice and have a heal- thy lifestyle. School also should promote healthy food choices and physical activity among students who spend most of their times in it. As regards communities in the absence of accessible and affordable choices of healthy food and facilities for physical activities as safe side walks, bike paths, and safe parks obesity is a must [<xref ref-type="bibr" rid="scirp.74223-ref4">4</xref>] .</p></sec><sec id="s2"><title>2. Patients and Method</title><sec id="s2_1"><title>2.1. Study Design and Setting</title><p>This is a cross sectional study to determine the prevalence of obesity and its risk factors among children between 6 - 14 years in Sohag, Egypt. Sohag governorate is an agricultural rural region, which produces sugar cane, grains and clover for animal husbandry (United Nations Development Program (UNDP) &amp; Institute of National Planning Egypt 2010). The total number of population of Sohag, according to Egypt developmental indicator was 4,769,000 citizens. The study was conducted in five public primary and two preparatory schools which were selected randomly from public primary and preparatory schools of Sohag city and three nearby villages. It was conducted through a period of four months from February to May 2016.</p></sec><sec id="s2_2"><title>2.2. Sample Size</title><p>The sample size was calculated using the EPI-INFO 2002 software (Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA; on the basis of a prevalence rate of 13.3% for obesity among primary school children that was reported by Nora El Saied Badawi, 2012 in Port Said city [<xref ref-type="bibr" rid="scirp.74223-ref6">6</xref>] . With a precision of 3%, a confidence level of 95%, and an error of 0.05, a minimum sample of 450 students were required. This sample was increased to 700 for proper representation of different age groups in the selected schools.</p></sec><sec id="s2_3"><title>2.3. Sampling Technique and Procedures</title><p>Stratified and clustered random sampling technique was employed to select study subjects. Stratification was based on type of school (primary or preparatory), the locality (urban or rural) and grades in each school. Based on the proportion between rural and urban inhabitants in Sohag governorate two schools in Sohag city and five schools in three nearby villages were selected. 200 students were selected from the preparatory schools and 500 from primary schools. As regard the gender all the selected primary and preparatory schools included both girls and boys. Every school was divided into strata based on the grade and in each grade a clustered sample of one class was selected. All students aged between 6 to 14 years were included, while students less than 6 years or more than 14 years were excluded. Also children with chronic illness as well as those on corticosteroid the- rapy or growth hormone replacement therapy were excluded.</p></sec><sec id="s2_4"><title>2.4. Data Collection Procedure</title><p>After agreement of the head of educational directorate of Sohag governorate on conducting this research, data were collected from February to May 2015.</p><p>In the first visit to each school, the researcher invited children to participate in the study, sampled them and gave them consent letter for their parents that included basic information about aim of the study, the planned physical examination of the study participants and the questionnaire. This visit took place a day before the second visit in which data were collected. On arrival of the second visit, consent letters from the parents were collected from the children and those who were allowed to participate in the research were gathered in class for measurement of anthropometric then they were given the questionnaire and were asked to take it home to be filled by their parents and give it back to the researcher on the next day.</p></sec><sec id="s2_5"><title>2.5. Instrument of the Study: Questionnaire</title><p>A semi-structured, self-administered questionnaire was used. The questionnaire had two sections; the first section includes personal information: age, grade, gender, school name in addition to anthropometric measurements. This section was filled in the school by the researcher. The second section which is a reliable questionnaire was filled by one of the parents. This section was concerned about the suggested risk factors of overweight and obesity including maternal education and job, maternal or parental obesity (documented by the mother herself), birth weight of the child, and type of feeding during infancy (whether breast, formula feeding or both). Data about the current dietary habits of the child are also collected including frequency of eating fast food, frequency of drinking sugary fruit juice daily, frequency of eating fresh vegetables and fruits in addition to information about the weekly practice of physical exercises.</p></sec><sec id="s2_6"><title>2.6. Anthropometric Measurements</title><p>・ Height was measured using stadiometer (Leicester-21400, CECA, UK). Participants were asked to remove shoes before stepping on stadiometer placed on a flat floor along the wall. The students were advised to hold the breath, and maintain an erect anatomical posture. Height measurement was then carefully read to the nearest 0.1 cm.</p><p>・ Weight was determined using a digital weighing. Measurements were taken with each student in light clothing and without shoes and socks. Weight was carefully read when the point readings stabilized and was recorded to the nearest 0.1 kg.</p><p>・ The BMI (Body Mass Index) was calculated (body weight in kg/height in m<sup>2</sup>).</p><p>・ By plotting BMI against standard percentile Egyptian curves for each sex, over weight was defined as BMI more than 85th and less than 95th for age and sex, and obesity was defined as BMI more than 95th percentile for age and sex compared to standard Egyptian growth charts.</p></sec><sec id="s2_7"><title>2.7. Etical Consideration</title><p>The study protocol was approved by ethical committee of the Faculty of Medicine of Sohag University. A prior consent for the study was taken from the school administration. At the time of the study the parents of each participant were informed about the study protocol and a written consent was obtained to their child’s participation and confidentiality was assured.</p></sec><sec id="s2_8"><title>2.8. Statistical Analysis</title><p>The statistical analysis was carried out using SPSS software for Windows (version 18.0, Chicago, IL, USA). Sample characteristics were summarized using the mean and the standard deviation (SD) for continuous variables and percentage for categorical variables. Overweight and obesity prevalence rates were calculated using descriptive data, along with corresponding 95% confidence interval (CI). Chi square test was used to compare distributions of characteristics between overweight, obese and normal and underweight children as appropriate and P value below 0.05 was considered significant.</p></sec></sec><sec id="s3"><title>3. Results</title><p>711 students were successfully enrolled in this study, 323 boys (45.4%) and 388 girls (54.6%). The mean age of the studded sample was 10.36 years and the standard deviation was 1.92 years, 36.8% of the participants were from urban areas while 63.2% were from rural areas, as shown in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p><xref ref-type="table" rid="table2">Table 2</xref> presents distribution of the studied children as regard prenata, parental, early life and life style factors, about one fifth of the mothers of the studied sample were obese (19.8%), received high level of education (21.2%) while more than 84% were house wives. 92% of the studied children were full term at birth and 85.5% had average birth weight. As regard practice of sport more than 72% of them did not practice sport regulary.</p><p><xref ref-type="fig" rid="fig1">Figure 1</xref> Shows distribution of the studied primary school children as regard BMI. By plotting BMI against standard percentile Egyptian curves, 117 (16.5%) were overweight and 104 (14.6%) were obese.</p><p><xref ref-type="table" rid="table3">Table 3</xref> shows that high significant association (P value = 0.004) presents between residing in urban areas and both overweight and obesity, as 19.9% and 13% of urban school children were obese and overweight respectively compared to 11.6% and 18.5% of the rural children. Significant association also presents between overweight and obesity in school children and obesity of one or both parents. More than 20% children with obese parents were obese compared to 10% of children with normal weight parents’. More than 25% of children whose mothers’ finished primary level of education only were obese compared to 10.5% of those finished faculty indicating significant association (P value &lt; 0.05). As regard type of feeding in infancy 31% of the obese children were on formula feeding compared to 13% of those who were breast fed either exclusively or with formula and the difference is significant (P value &lt; 0.05).</p><p><xref ref-type="table" rid="table4">Table 4</xref> indicates presence of very high statistically significant association between not consuming fresh fruits and vegetable daily and overweight and</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Distribution of the studied children as regard BMI by plotting BMI against Standard Percentile Egyptian Curves</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/4-1900379x2.png"/></fig><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sociodemographic data of the studied samples of school children</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >Summary statistics</th></tr></thead><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >6</td><td align="center" valign="middle" >60 (8.5%)</td></tr><tr><td align="center" valign="middle" >8</td><td align="center" valign="middle" >164 (23%)</td></tr><tr><td align="center" valign="middle" >10</td><td align="center" valign="middle" >286 (40.2%)</td></tr><tr><td align="center" valign="middle" >12 - 14</td><td align="center" valign="middle" >201 (28.3%)</td></tr><tr><td align="center" valign="middle" >Mean (SD)</td><td align="center" valign="middle" >10.36 (1.92) years</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >6 - 14 years</td></tr><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Boys</td><td align="center" valign="middle" >323 (45.4%)</td></tr><tr><td align="center" valign="middle" >Girls</td><td align="center" valign="middle" >388 (54.6%)</td></tr><tr><td align="center" valign="middle" >Residence</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Urban</td><td align="center" valign="middle" >262 (36.8%)</td></tr><tr><td align="center" valign="middle" >Rural</td><td align="center" valign="middle" >449 (63.2%)</td></tr><tr><td align="center" valign="middle" >Weight</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean (SD)</td><td align="center" valign="middle" >41.3 (1.3) kg</td></tr><tr><td align="center" valign="middle" >Height</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean (SD)</td><td align="center" valign="middle" >138.6 (13) cm</td></tr><tr><td align="center" valign="middle" >BMI</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean (SD)</td><td align="center" valign="middle" >21 (4.3)</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >711 (100%)</td></tr></tbody></table></table-wrap><table-wrap-group id="2"><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of the studied children as regard prenata, parental, early life and life style factors</title></caption><table-wrap id="2_1"><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Characteristic</th><th align="center" valign="middle"  colspan="2"  >Summary Statistics</th></tr></thead><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >Obesity among parents</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >465</td><td align="center" valign="middle" >65.4%</td></tr><tr><td align="center" valign="middle" >Mother only</td><td align="center" valign="middle" >141</td><td align="center" valign="middle" >19.8%</td></tr><tr><td align="center" valign="middle" >Father only</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >8%</td></tr><tr><td align="center" valign="middle" >Both</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >6.8%</td></tr><tr><td align="center" valign="middle" >Maternal education</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >151</td><td align="center" valign="middle" >21.2%</td></tr><tr><td align="center" valign="middle" >Preparatory</td><td align="center" valign="middle" >441</td><td align="center" valign="middle" >62%</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >119</td><td align="center" valign="middle" >16%</td></tr></tbody></table></table-wrap><table-wrap id="2_2"><table><tbody><thead><tr><th align="center" valign="middle" >Maternal job</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Working mother</td><td align="center" valign="middle" >112</td><td align="center" valign="middle" >15.8%</td></tr><tr><td align="center" valign="middle" >House wife</td><td align="center" valign="middle" >599</td><td align="center" valign="middle" >84.2%</td></tr><tr><td align="center" valign="middle" >Gestational age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Full term</td><td align="center" valign="middle" >654</td><td align="center" valign="middle" >92%</td></tr><tr><td align="center" valign="middle" >Pre-term</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >5.6%</td></tr><tr><td align="center" valign="middle" >Post-term</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >2.4%</td></tr><tr><td align="center" valign="middle" >Birth weight</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Average (2500 - 3500 gm)</td><td align="center" valign="middle" >615</td><td align="center" valign="middle" >85.5%</td></tr><tr><td align="center" valign="middle" >Low (&lt;2500 gm)</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >7.5%</td></tr><tr><td align="center" valign="middle" >High (&gt;3500 gm)</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >6%</td></tr><tr><td align="center" valign="middle" >Feeding type</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Breast feeding</td><td align="center" valign="middle" >647</td><td align="center" valign="middle" >77%</td></tr><tr><td align="center" valign="middle" >Formula feeding</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >6.3%</td></tr><tr><td align="center" valign="middle" >Both</td><td align="center" valign="middle" >119</td><td align="center" valign="middle" >16.7%</td></tr><tr><td align="center" valign="middle" >Frequency of fast food consumption</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Occasional</td><td align="center" valign="middle" >351</td><td align="center" valign="middle" >49.45</td></tr><tr><td align="center" valign="middle" >Once weekly</td><td align="center" valign="middle" >167</td><td align="center" valign="middle" >23.5%</td></tr><tr><td align="center" valign="middle" >Twice weekly</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >10.8%</td></tr><tr><td align="center" valign="middle" >More than twice</td><td align="center" valign="middle" >116</td><td align="center" valign="middle" >16.3%</td></tr><tr><td align="center" valign="middle" >Sugary juice consumption</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Occasional</td><td align="center" valign="middle" >555</td><td align="center" valign="middle" >78.1%</td></tr><tr><td align="center" valign="middle" >Once daily</td><td align="center" valign="middle" >93</td><td align="center" valign="middle" >13.1%</td></tr><tr><td align="center" valign="middle" >Twice daily</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >4.1%</td></tr><tr><td align="center" valign="middle" >More than twice</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >4.8%</td></tr><tr><td align="center" valign="middle" >Fresh fruits &amp; vegetables consumption</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Occasional</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >3.4%</td></tr><tr><td align="center" valign="middle" >Once daily</td><td align="center" valign="middle" >117</td><td align="center" valign="middle" >16.5%</td></tr><tr><td align="center" valign="middle" >Twice daily</td><td align="center" valign="middle" >183</td><td align="center" valign="middle" >25.7%</td></tr><tr><td align="center" valign="middle" >More than twice</td><td align="center" valign="middle" >387</td><td align="center" valign="middle" >54.4%</td></tr><tr><td align="center" valign="middle" >Practice of sport</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >196</td><td align="center" valign="middle" >27.6%</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >515</td><td align="center" valign="middle" >72.4%</td></tr></tbody></table></table-wrap></table-wrap-group><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of weight status of the studied children as regard gender, residence and parental and early life factors</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="2"  >Normal weight</th><th align="center" valign="middle"  colspan="2"  >Overweight</th><th align="center" valign="middle"  colspan="2"  >Obese</th><th align="center" valign="middle"  rowspan="2"  >P value</th></tr></thead><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Boys</td><td align="center" valign="middle" >216</td><td align="center" valign="middle" >(66.9%)</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >(18.3%)</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >(14.8%)</td><td align="center" valign="middle"  rowspan="2"  >0.5</td></tr><tr><td align="center" valign="middle" >Girls</td><td align="center" valign="middle" >273</td><td align="center" valign="middle" >(70.3%)</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >(14.9%)</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >(14.4%)</td></tr><tr><td align="center" valign="middle" >Residence:</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Urban (No = 262)</td><td align="center" valign="middle" >175</td><td align="center" valign="middle" >(66.8%)</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >(13%)</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >(19.9%)</td><td align="center" valign="middle"  rowspan="2"  >0.004</td></tr><tr><td align="center" valign="middle" >Rural (No = 449)</td><td align="center" valign="middle" >314</td><td align="center" valign="middle" >(69.9%)</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >(18.5%)</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >(11.6%)</td></tr><tr><td align="center" valign="middle" >Obesity among parents</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >343</td><td align="center" valign="middle" >(73.9 %)</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >(15.3%)</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >(10.8%)</td><td align="center" valign="middle"  rowspan="4"  >0.01</td></tr><tr><td align="center" valign="middle" >Mother only</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >(60.3%)</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >(19.1%)</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >(20.6%)</td></tr><tr><td align="center" valign="middle" >Father only</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >(61.4%)</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >(15.8%)</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >(22.8%)</td></tr><tr><td align="center" valign="middle" >Both</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >(55.1%)</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(20.4%)</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >(24.5%)</td></tr><tr><td align="center" valign="middle" >Maternal education</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >(72.4%)</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >(17.1%)</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >(10.5%)</td><td align="center" valign="middle"  rowspan="3"  >0.003</td></tr><tr><td align="center" valign="middle" >Preparatory</td><td align="center" valign="middle" >305</td><td align="center" valign="middle" >(69.2%)</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >(17.7%)</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >(13.1%)</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >(63.6%)</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >(11%)</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >(25.4%)</td></tr><tr><td align="center" valign="middle" >Maternal job</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Working mother</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >(71.4%)</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >(11.6%)</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >(17%)</td><td align="center" valign="middle"  rowspan="2"  >0.7</td></tr><tr><td align="center" valign="middle" >House wife</td><td align="center" valign="middle" >410</td><td align="center" valign="middle" >(68.5%)</td><td align="center" valign="middle" >104</td><td align="center" valign="middle" >(17.4%)</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >(14.1%)</td></tr><tr><td align="center" valign="middle" >Gestational age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Full term</td><td align="center" valign="middle" >454</td><td align="center" valign="middle" >(69.5%)</td><td align="center" valign="middle" >107</td><td align="center" valign="middle" >(16.4%)</td><td align="center" valign="middle" >92</td><td align="center" valign="middle" >(14.1%)</td><td align="center" valign="middle"  rowspan="3"  >0.8</td></tr><tr><td align="center" valign="middle" >Pre-term</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >(65%)</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >(12.5%)</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >(12.5%)</td></tr><tr><td align="center" valign="middle" >Post-term</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >(52.9%)</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >(17.6%)</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >(29.4%)</td></tr><tr><td align="center" valign="middle" >Birth weight</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Average</td><td align="center" valign="middle" >433</td><td align="center" valign="middle" >(70.4%)</td><td align="center" valign="middle" >97</td><td align="center" valign="middle" >(15.8%)</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >(13.8%)</td><td align="center" valign="middle"  rowspan="3"  >0.4</td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >(60.4%)</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >(22.6%)</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >(17%)</td></tr><tr><td align="center" valign="middle" >high</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >(58.1%)</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >(18.6%)</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(23.3%)</td></tr><tr><td align="center" valign="middle" >Feeding type</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Breast feeding</td><td align="center" valign="middle" >393</td><td align="center" valign="middle" >(71.8%)</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >(14.6%)</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >(13.6%)</td><td align="center" valign="middle"  rowspan="3"  >0.028</td></tr><tr><td align="center" valign="middle" >Formula feeding</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >(46.7%)</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >(2.2%)</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >(31.1%)</td></tr><tr><td align="center" valign="middle" >Both</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >(63.9%)</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >(22.7%)</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >(13.4%)</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Distribution of weight status of the studied children as regard dietary and lifestyle factors</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="2"  >Normal weight (N = 490)</th><th align="center" valign="middle"  colspan="2"  >Overweight (N = 117)</th><th align="center" valign="middle"  colspan="2"  >Obese (N = 104)</th><th align="center" valign="middle"  rowspan="2"  >P value</th></tr></thead><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >Frequency of fast food consumption</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Occasional</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >(71.4%)</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >(14.9%)</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >(13.7%)</td><td align="center" valign="middle"  rowspan="4"  >0.7</td></tr><tr><td align="center" valign="middle" >Once weekly</td><td align="center" valign="middle" >118</td><td align="center" valign="middle" >(70.2%)</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >(15.5%)</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >(14.3%)</td></tr><tr><td align="center" valign="middle" >Twice weekly</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >(63.6%)</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >(20.8%)</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >(15.6%)</td></tr><tr><td align="center" valign="middle" >More than twice</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >(62.9%)</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >(19.8%)</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >(17.2%)</td></tr><tr><td align="center" valign="middle" >Sugary juice consumption</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Occasional</td><td align="center" valign="middle" >395</td><td align="center" valign="middle" >(71.1%)</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >(15%)</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >(13.9%)</td><td align="center" valign="middle"  rowspan="4"  >0.5</td></tr><tr><td align="center" valign="middle" >Once daily</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >(57%)</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >(23.7%)</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >(19.3%)</td></tr><tr><td align="center" valign="middle" >Twice daily</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >(69%)</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >(17.2%)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >(13.8%)</td></tr><tr><td align="center" valign="middle" >More than twice</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >(64.7%)</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >(20.6%)</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >(14.7%)</td></tr><tr><td align="center" valign="middle" >Fresh fruits &amp; vegetables consumption</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Occasional</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >(56.6%)</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >(21.7%)</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >(21.7%)</td><td align="center" valign="middle"  rowspan="4"  >0.000</td></tr><tr><td align="center" valign="middle" >Once daily</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >(72.6%)</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >(12.8%)</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >(16.3%)</td></tr><tr><td align="center" valign="middle" >Twice daily</td><td align="center" valign="middle" >124</td><td align="center" valign="middle" >(67.4%)</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >(17.3%)</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >(15.2%)</td></tr><tr><td align="center" valign="middle" >More than twice</td><td align="center" valign="middle" >268</td><td align="center" valign="middle" >(69.2%)</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >(16.8%)</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >(14%)</td></tr><tr><td align="center" valign="middle" >Practice of sport</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >143</td><td align="center" valign="middle" >(73%)</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >(16.8%)</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >(10.2%)</td><td align="center" valign="middle"  rowspan="2"  >0.19</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >347</td><td align="center" valign="middle" >(67.4%)</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >(16.3%)</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >(16.3%)</td></tr></tbody></table></table-wrap><p>obesity among school children (P value = 0.000), more than fifth (21.7%) the children who occasionally eat fresh fruits and vegetables were obese or overweight compared to 14% and 16.8% of those who consume it more than two times daily. No significant association was found as regard frequency of consumption of fast food and sugary juices or practice of physical exercises (P value &gt; 0.05) taking in consideration that only (27.6%) of the studied school children practiced sports regularly.</p></sec><sec id="s4"><title>4. Discussion</title><p>The current study aimed at identification of the prevalence of overweight and obesity among school children and its association with certain socio demogra- phic, parental, early life, dietary and life style risk factors.</p><p>In the present study, the overall prevalence of obesity among children from 6 - 14 years of age was (14.6%) and the prevalence of overweight was (16.5%). We faced difficulty in comparing our results because of absence of previous studies about the prevalence of obesity in children in Sohag governorate. By comparing our results with studies conducted in Cairo, Alex and Port Said we found that the prevalence of overweight was similar to that of Port Said [<xref ref-type="bibr" rid="scirp.74223-ref6">6</xref>] and Alex [<xref ref-type="bibr" rid="scirp.74223-ref7">7</xref>] but lower than that of Cairo [<xref ref-type="bibr" rid="scirp.74223-ref8">8</xref>] . As regards the prevalence of obesity, it was higher than values reported in Cairo and Alex and similar to values reported in Port Said. These variations might be partially attributed to the difference in the standard curves used for defining obesity and overweight, as [<xref ref-type="bibr" rid="scirp.74223-ref8">8</xref>] used the American standard curve and [<xref ref-type="bibr" rid="scirp.74223-ref7">7</xref>] used the WHO Z-score cutoff points, while in our study and in that of Port Said [<xref ref-type="bibr" rid="scirp.74223-ref6">6</xref>] , the local Egyptian BMI charts were used. Variations also can be explained by differences between Alex, and Sohag as regards the society as rural children in the current study represented 63.2% compared with 25.1% in Alexandria. The lowest prevalence of obesity in Cairo also linked to the time of conduction of the study which was conducted 10 years ago; many changes have been evolved as regards life style and food consumption since that time.</p><p>As regards the prevalence of overweight among school children in the Arab countries, our results are consistent with [<xref ref-type="bibr" rid="scirp.74223-ref9">9</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref10">10</xref>] in Saudi, [<xref ref-type="bibr" rid="scirp.74223-ref11">11</xref>] in Jordan and [<xref ref-type="bibr" rid="scirp.74223-ref12">12</xref>] in Qatar. On the other hand, our results were much lower than [<xref ref-type="bibr" rid="scirp.74223-ref13">13</xref>] in Kuwait. Concerning the prevalence of obesity, our results were in agreement with [<xref ref-type="bibr" rid="scirp.74223-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref11">11</xref>] , but it was higher than [<xref ref-type="bibr" rid="scirp.74223-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref12">12</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref13">13</xref>] . Apart from Kuwait, all of these studies showed nearly similar rates of overweight, while the prevalence of obesity showed marked variation. As we mentioned before, this could be explained by differences in standard curves used for defining obesity and overweight, in addition to differences in socio economic status between Sohag governorate and those countries. This governorate is one of Egypt poorest governorates that results in a relatively less consumptions of energy dense foods and high consumption of the cheap high fiber diet. In addition, availability of private cars on individual level had led to reduced physical activities of children.</p><p>Variations between boys and girls as regards prevalence of overweight and obesity were reported by many studies [<xref ref-type="bibr" rid="scirp.74223-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref14">14</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref15">15</xref>] although [<xref ref-type="bibr" rid="scirp.74223-ref10">10</xref>] reported presence of variation between boys and girls as regards obesity only but not overweight in Saudi. As in boys, it may indicate health and strength but girls prefer to remain slim. This disagreed with our results, as we found nearly similar rates of obesity among boys and girls while the percentage of overweight was more among boys with no statistically significant difference (P value = 0.5). Meanwhile our results agree with [<xref ref-type="bibr" rid="scirp.74223-ref16">16</xref>] in Egypt and [<xref ref-type="bibr" rid="scirp.74223-ref17">17</xref>] in Turkey. This could be explained by the fact that more than 70% of the studied children are below or around 10 years. As no much control on weight gain is practiced by female children in this age.</p><p>We found that 19.9% of the studied urban children were obese compared with 11.6% of the studied rural children while the percentage of overweight was higher among rural children with very high statistically significant difference (P value = 0.004). These results agree with [<xref ref-type="bibr" rid="scirp.74223-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref16">16</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref18">18</xref>] . This difference could be attributed to both dietary variations (absence of fast food restaurants, plenty of fresh fruits and vegetables nearby) and increased physical activity in rural areas as means of transportation are uncommon and children usually walk to schools.</p><p>Maternal role in childhood obesity extends beyond genetics; it appears in developing and maintaining healthy dietary habits and life style. This role is affected by her education and availability of time enough for caring her children especially their feeding.</p><p>We studied maternal role in obesity and overweight among children by assessing three factors, presence of maternal or paternal obesity, level of maternal education and whether she is a working mother or housewife. In agreement with several studies [<xref ref-type="bibr" rid="scirp.74223-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref20">20</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref21">21</xref>] , we found significant association between obesity among one or both parents and both obesity and overweight among children. 51.9% of the overweight children and 39.3% of the obese children had an obese parent or both parents were obese compared with 30% of the normal weight and underweight children. Significant association was also found between the level of maternal education and childhood overweight and obesity, 25% of children whose mothers had primary education were obese com- pared with only 10% of those whose mothers finished the faculty. This agrees with [<xref ref-type="bibr" rid="scirp.74223-ref17">17</xref>] and disagrees with [<xref ref-type="bibr" rid="scirp.74223-ref16">16</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref22">22</xref>] . Absence of public awareness about healthy nutrition may explain prevalence of obesity among children of mothers with low level of education. On the contrary, maternal occupation showed no significant association with childhood obesity in agreement with [<xref ref-type="bibr" rid="scirp.74223-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref17">17</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref23">23</xref>] while [<xref ref-type="bibr" rid="scirp.74223-ref16">16</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref18">18</xref>] disagreed with us. Several previous studies reported the protective role of breast feeding against childhood overweight and obesity. We found that 31% and 22% of formula fed children were obese and overweight respectively compared with 13.8% and 15.8% of breast fed children (P value &lt;0.05). This significant association was also reported by [<xref ref-type="bibr" rid="scirp.74223-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref25">25</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref26">26</xref>] .</p><p>With rapid economic and technologic development, worldwide life style changes in the form of less physical activity and more consumption of fast and fat rich food predominate. We assessed association between frequency of consumption of fast food, sugary juices, fresh vegetables and fruits and practicing sport and both childhood overweight and obesity. Frequency of consumption of fresh fruits and vegetables was the only significant risk factors. More than 43% of the children who ate fresh fruits or vegetables occasionally were overweight or obese compared with 30% of those who ate them twice daily with very high statistically significant difference. This agrees with [<xref ref-type="bibr" rid="scirp.74223-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref27">27</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref28">28</xref>] and disagrees with [<xref ref-type="bibr" rid="scirp.74223-ref20">20</xref>] . No significant association was found concerning other factors in agreement with [<xref ref-type="bibr" rid="scirp.74223-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref22">22</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref29">29</xref>] as regards fast food and [<xref ref-type="bibr" rid="scirp.74223-ref29">29</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref30">30</xref>] as regards sugary juices. On the other hand, [<xref ref-type="bibr" rid="scirp.74223-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref23">23</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref28">28</xref>] disagree with us. This could be explained by absence of fast food restaurants in rural areas of the study setting where more than 63% of the study samples were formulated. It is well known that absence of physical activity is an important risk factor of overweight or obesity. On the contrary to many previous studies [<xref ref-type="bibr" rid="scirp.74223-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.74223-ref28">28</xref>] and [<xref ref-type="bibr" rid="scirp.74223-ref31">31</xref>] , we found no significant association between overweight and obesity and non practice of sport by children. This may be explained by the fact that 72.4% of the studied children whether normal weight or overweight do not practice any sport or regular physical exercises as a result of lack of physical activities facilities among these children in agreement with [<xref ref-type="bibr" rid="scirp.74223-ref32">32</xref>] .</p></sec><sec id="s5"><title>Cite this paper</title><p>Hadhood, S.E.S.A., Ali, R.A.E., Mohamed, M.M. and Moham- med, E.S. (2017) Prevalence and Correlates of Overweight and Obesity among School Children in Sohag, Egypt. Open Journal of Gastroenterology, 7, 75-88. https://doi.org/10.4236/ojgas.2017.72009</p></sec></body><back><ref-list><title>References</title><ref id="scirp.74223-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Pierre, I.B., Huang, C.L., Lee, J.Y. and Lin, B.H. (2005) Dietary Habits, Demographics and the Development of Overweight and Obesity among Children in the United States. 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