Assessment of Risk Factors for Obesity among School aged Children in Basra city

Hajer S. Essa 1, Kadhim jawad awad almadwah2

Ass .prof Community health nursing department, College of Nursing, University of Basrah, Basrah, Iraq. hajer.essa@uobasrah.edu.iq

2 instructor . Community health nursing department, College of Nursing, University of Basrah, Basrah, Iraq kadhim.jawad@uobasrah.edu.iq

HNSJ, 2024, 5(9); https://doi.org/10.53796/hnsj59/20

Download

Published at 01/09/2024 Accepted at 20/08/2024

Citation Methods

Abstract

Background : Overweight and obesity is a health problem in both developed and developing countries.

Objective: to determine risk factors among school aged children and to establish the food consumption patterns of the children .

Material and methods: A descriptive cross-sectional study conducted at school of Basra city, from January to fib wary 2019. A total sample of 600 children were included 400 male and 200 female , were area of sample 200 rural 100 male,100 female and 400 urban 300 male, 100 female in the study. Multi stage systematic random sampling technique was used. Three parts , the part one about socio-demographic characteristic of children the part two physical activity and part three information about dietary habits the pattern was obtained by direct interview method. Weight and height of all subjects were measured according to standard procedures using standard equipment ( tape measure , weight measuring device ). BMI for age was calculated using WHO charts.

Results : 66.6 % of the sample male and 33.4 % of the sample female , the group age of the sample were between 10-11 years 86.3 % and job of mother high percentage housewife 74.6 % , the means of transport high percentage walking 53 % , spare time high percentage television 51.8 % , high percentage the sample overweight (243) 40.5 % , high percentage female in urban area ( overweight ) 67 % , the lower percentage underweight 8 % , were the female in rural area and the male in rural area high percentage underweight 64 % . the chi square values between sample activities school provides sports time, children activities at school, school provides games, enjoy a sports lesson, movement within the school are highly significant. the chi square values between sample nutritional status eat sweets between meals , how many times do you eat a day , types snacks or sweets preferred by children are highly significant and children go to school without meal, who chooses the snack or sweets for children are non significant.

Conclusion: Overweight and obesity is a health problem in both developed and developing countries. Unhealthy dietary habits and sedentary lifestyle are the major risk factors for obesity in school aged children.

Key Words: obesity, risk factors, school aged children, Body mass index

Introduction :

Obesity has become a global pandemic and should be regarded as today’s principal neglected public health problem. Obesity is increasing in most high income countries as well as in developing countries undergoing nutrition transition and with under nutrition problems. Globally, in 2010 the number of overweight children was estimated to be over 42 million. Close to 35 million of these are living in developing countries. At least 2.8 million people die each year globally, as a result of being overweight or obese.(1) Childhood obesity poses a major risk for serious dieter later chronic diseases, such as type 2 diabetes mellitus, cardiovascular disease, hypertension and stroke, and certain forms of cancer and, it is also noted to be a precursor of adverse health effects in adulthood, as overweight children are more likely to become overweight adolescents and adults.(2,3,4) In addition, overweight and obesity is favored by risky dietary behaviors such as consumption of fast food and drinks, eating away from home, skipping/missing of meal, regular drinking of sugar rich beverages and low serving/ intake of fruit and vegetable.(5,6) One-half of

obese school children become obese adults. However, whether or not obesity persists into adulthood, obesity in childhood appears to increase the risk of subsequent morbidity.(7,8) Eating behavior of the children is influenced by the availability of food, peers, siblings and parent’s behavior.(9) Consuming more energy from foods and beverages than the body uses for healthy functioning, growth, and physical activity can lead to extra weight gain over time.(10) The problem of childhood overweight and obesity currently being faced by several countries worldwide is a result of a myriad of factors. In Qatar, the rapid economic success of the state has led to the espousal of some unhealthy lifestyles. These include adoption of poor dietary habits that were more commonly associated with affluent people in Qatar.(11) Both girls and boys enjoy high caloric diets that consist mainly of fast food which are heavily advertised on television, sugar snacks, soft drinks and sweet beverages because their parents can easily afford to pay for these foods.(11–12) In one survey, two out of three children in Qatar reported eating fast food at least once or twice a week with about 90% of the children further consuming unhealthy snacks between meals.(13) Sedentary lifestyles with little to no form of physical activity may be due to some cultural factors. Additionally, increased urbanization and technological advancement adds to the problem of overweight and obesity among the children.(14) It is reported to be commonplace for countries in the GCC region to view being plump as aesthetically acceptable. Being heavy set is also seen as a sign of wealth, which may be one of the reasons why the prevalence of childhood overweight and obesity continues to rise.(11) There are also several methods to measure the percentage of body fat. In research, techniques include underwater weighing (densitometry), multi-frequency bioelectrical impedance analysis (BIA), and magnetic resonance imaging (MRI). In the clinical environment, techniques such as BMI, waist circumference, and skin-fold thickness have been used extensively. Although, these methods are less accurate than research methods, they are satisfactory to identify risk. While BMI seems appropriate for differentiating adults, it may not be as useful in children because of their changing body shape as they progress through normal growth.

In addition, BMI fails to distinguish between fat and fat-free mass (muscle and bone) and may exaggerate obesity in large muscular children. Furthermore, maturation pattern differs between genders and different ethnic groups. Studies that used BMI to identify overweight and obese children based on percentage of body fat have found high specificity (95–100%), but low sensitivity (36–66%) for this system of classification.(15) The main contributing forces in the increasing prevalence of overweight and obesity are believed to be increasing  urbanization and the globalization of food markets.

With rising incomes and urbanizing populations, physical activity levels tend to decline and diets increasingly shift to include foods higher in saturated fats and sugars.(16) that school settings should serve as an essential component of a national strategy to increase physical activity, along with preschool and childcare center settings providing increased physical activity opportunities. Aside from the aforementioned standards, goals and objectives, and recommendations, additional national standards related to preventing childhood obesity in early care and education programs have also been promoted.(17) . Nursing is the sum of services given to individuals and their families to help them maintain their natural state or help them to relieve their organic and psychological pain (62).

Methodology:

A descriptive cross-sectional study conducted at school of Basra city, from January to fib wary 2019. A total sample of 600 children were included 400 male and 200 female , were area of sample 200 rural 100 male,100 female and 400 urban 300 male, 100 female in the study. Multi stage systematic random sampling technique was used. Three parts , the part one about socio-demographic characteristic of children the part two physical activity and part three information about dietary habits the pattern was obtained by direct interview method. Weight and height of all subjects were measured according to standard procedures using standard equipment ( tape measure , weight measuring device ). BMI for age was calculated using WHO charts.

The study sample and data collection:

A total sample size was 600 which was interviewing with student in school in Basra city. Data analysis was done using the SPSS statistical package. Descriptive analysis of the socio-demographic profile of the participant and putative risk factors were done. The prevalence of overweight and obesity was calculated. The relationship between each putative risk factor and the presence of obesity/overweight was analyzed using standard statistical tests such as the Chi square test. Appropriate multivariate analysis was done to identify associated factors. Chosen P value was 0.05.

assessment of the problem:

Assessment of Risk Factors for Obesity among School aged Children in Basra city.

The objective of the assessment:

1-To determine risk factors among school aged children .

2- To establish the food consumption patterns of the children .

Statistical data analysis :

1- frequency and percentage

2-chi-squer

3- As well we use SPSS program v.16 for finding the outcome

41 Results

Tablet (1) : Socio-demographic characteristic for sample.

  Frequency Percentage %
Gender    
male 400 66.6 %
Female 200 33.4 %
Age groups    
10-11 517 86.3 %
12-13 83 13.7 %
M ±SD=22.8±5.977    
Class    
Fourth 67 11.2 %
Fifth 284 47.3 %
Sixth 249 41.5 %
Job of father    
Employee 314 52.4 %
Free business 274 45.6 %
Deceased 12 2 %
Job of mother    
Employee 151 25.1 %
Housewife 448 74.6 %
Free business 1 0.3 %
What are the means you use to go to school?    
Walking 318 53 %
Private care 282 47 %
Buses    
Spare time    
House work 153 25.5 %
Television 311 51.8 %
Computer 136 22.7 %
Favorite sport    
Boxing 3 0.5 %
Foot ball 473 78.8 %
Swimming 8 1.3 %
Basketball 22 3.6 %
Walking 5 0.8 %
Gymnastics 1 0.1 %
Run 79 13.5 %
Handball 2 0.3 %
Does not have a favorite sport 7 1.1 %
Do your parents give you money ?    
Yes 592 98.7 %
No 8 1.3 %
How many give money?    
2000 39 6.5 %
1000 439 74.5 %
500 108 18 %
250 6 1 %
Where do you spend your money ?    
Buy food 592 100 %
Your parents are obese ?    
Yes 200 33.4 %
No 400 66.6 %
Do you have a disease    
Yes 44 7.3%
No 556 92.7%

Tablet (2) : distribution the sample according body mass index

BMI Groups N F  
underweight <18.5 168 28 %  
normal 18.5-24.9 189 31.5 %  
overweight 25-29.9 243 40.5 %  
Obese I 30-34.9      
Obese II 35-39.9      
Obese III ≥40      
  Total 600 100 M ±SD=22.8±5.977

Table (3) : distribution the sample according to the sex and resident area ( rural, urban)

  Female urban Female

ruralMale

UrbanMale

ruralUnderweight8653164Normal25309836Overweight675171
Obese I



Obese II



Obese III



Total100100300100

This table showed the high percentage female in urban area ( overweight ) 67 % and the lower percentage underweight 8 % , were the female in rural area underweight high percentage 65 % and the lower percentage overweight 5 % , and show the male in rural area high percentage underweight 64 % and the lower percentage 36 % normal weight .

Table (4) : distribution sample activity

Does the school provide sports time ? Df P SIG
Yes 501 83.5% 210 .000 HS
No 99 16.5%      
How many times a school provides time for sport ?
Once 333 66.5 % 105 .000 HS
Twice 96 19.2 %      
three times 72 14.3 %      
Who is the student’s guide ?
Teacher 467 77.8 % 315 000 H.S
Sports teacher 35 5.8 %      
No one 98 16.4 %      
Are children’s activities at school adequate ?
Yes 239 39.8 % 210 .000 HS
No 361 60.2 %      
Is school provides games ?
Yes 205 34 % 105 .000 HS
No 395 66 %      
Are enjoy a sports lesson ?
Yes 493 82 % 210 0.01 HS
No 107 18 %      
Movement within the school
Prefer to walk 567 94.5 % 210 0.000 HS
Sit in your place 33 5.5 %      

This table showed the school provide time to sport the high percentage we answer yes 83,5% and the lower percentage 16,5% in the sample provide time sport the high percentage once 66.5 % and the lower percentage three times 14.3 % , where the student guide high percentage teacher 77.8 % and the lower percentage sport teacher 5.8 % , were the movement within the school high percentage prefer to walk 94.5 % and the lower percentage sit in your place 5.5 % . the chi square values between sample activities school provides sports time, children activities at school, school provides games, enjoy a sports lesson, movement within the school are highly significant.

Tablet (5) : distribution sample nutritional status

Do you eat sweets between meals ? Df P SIG
Yes 405 67.5 % 210 0.000 HS
No 195 32.5 %
How many times do you eat a day ?
Once 129 21.6 % 240 0.000 HS
Twice 192 32 %      
three times 250 41.6 %      
four times 29 4.8 %      
Do you go to school without a meal ?
Yes 365 61 % 210 .994 NS
No 235 39 %      
If the answer is yes Breakfast lunch      
  59 306      
  16.2 % 83.8 %      
Types snacks or sweets preferred by children
Cake and juice 285 47.5 % 420 0.000 HS
Chips and juice 108 18 %      
Chips          
Sandwich 207 34.5 %      
You buy from outside restaurants ?
Yes 399 66.5 % 210 .6 HS
No 201 33.5 %      
Is a school preparing food ?
Yes 271 45 % 105 .000 HS
No 329 55 %      
If the answer is yes Healthy food Fatty food      
  18 253      
  6.6 % 93.4 %      
Who chooses the snack or sweets ?
Parents 322 53.6 % 315 .494 NS
Children 265 44.3 %      
Guardian 13 2.1 %      

This tablet show the eat sweet meals the high percentage 67,5% we answer yes and the lower percentage we answer no 32,5% the many times of eat high percentage three times 41.6 % and the lower percentage four times 4.8 % .the children go to school without meal the high percentage we answer yes 61% ,and the lower percentage we answer no 39%,if the children answer yes the high percentage was lunch 83,8% and the lower percentage was breakfast 16,2% where the types snacks or sweets preferred by children high percentage cake and juice 47.5 % and the lower percentage chips and juice 18 % , were the who chooses the snack or sweets high percentage parents 53.6 % and the lower percentage guardian 2.1 % .school preparing food we answer yes 55% ,If answer yes the high percentage about type of food 93,4 fatty food and the lower percentage 6,6 healthy food. the chi square values between sample nutritional status eat sweets between meals , how many times do you eat a day , types snacks or sweets preferred by children are highly significant and children go to school without meal, who chooses the snack or sweets for children are non significant.

Discussion:

This chapter presents asymptomatically the following : Interpretation of the evidence is supported by available literature and research studies analysis of such characteristic of 600 children measurement body mass index. 66.6 % of the sample male 400 and 33.4 % of the sample female 200 , the group age of the sample were between 10-11 years 86.3 % and 12-13 years 13.7 % , where the high percentage of class fifth 47.3 % and lower percentage in fourth class 11.2 % , were the job of father high percentage employee 52.4 % and lower percentage deceased 2 % , were the job of mother high percentage housewife 74.6 % and the lower percentage free business 1 % , were the means of transport high percentage walking 53 % and the lower percentage private care 47 % , where the spare time high percentage television 51.8 % and the lower percentage computer 22.7 % , were the favorite sport high percentage football 78.8 % and the lower percentage gymnastics 0.1 % , were the receive money high percentage 1000 74.5 % and the lower percentage 250 1 % . the high percentage the sample overweight (243) 40.5 % , where the lower percentage underweight (168) 28 % . the high percentage female in urban area ( overweight ) 67 % and the lower percentage underweight 8 % , were the female in rural area underweight high percentage 65 % and the lower percentage overweight 5 % , and show the male in rural area high percentage underweight 64 % and the lower percentage 36 % normal weight . the school provide time to sport the high percentage we answer yes 83,5% and the lower percentage 16,5% in the sample provide time sport the high percentage once 66.5 % and the lower percentage three times 14.3 % , where the student guide high percentage teacher 77.8 % and the lower percentage sport teacher 5.8 % , were the movement within the school high percentage prefer to walk 94.5 % and the lower percentage sit in your place 5.5 % . the chi square values between sample activities school provides sports time, children activities at school, school provides games, enjoy a sports lesson, movement within the school are highly significant. the eat sweet meals the high percentage 67,5% we answer yes and the lower percentage we answer no 32,5% the many times of eat high percentage three times 41.6 % and the lower percentage four times .the children go to school without meal the high percentage we answer yes 61% ,and the lower percentage we answer no 39%,if the children answer yes the high percentage was lunch 83,8% and the lower percentage was breakfast 16,2% where the types snacks or sweets preferred by children high percentage cake and juice 47.5 % and the lower percentage chips and juice 18 % ,were the who chooses the snack or sweets high percentage parents 53.6 % and the lower percentage guardian 2.1 % .school preparing food we answer yes 55% ,If answer yes the high percentage about type of food 93,4 fatty food and the lower percentage 6,6 healthy food. The chi square values between sample nutritional status eat sweets between meals , how many times do you eat a day , types snacks or sweets preferred by children are highly significant and children go to school without meal, who chooses the snack or sweets for children are non significant. study in 2014 in china Prevalence of overweight and obesity among primary school children aged in5 to14 years Wannan area, china. A total of 67956 subjects (36664 male) and (31292 female) aged 5-14 years were recruited in this study. Depending on the references used , the overall prevalence of overweight, including obesity of the subjects was 17.85% , the prevalence of overweight, including obesity was 22.9% in male subjects and 11.9% in female subjects, respectively. The overall prevalence of obesity was3.7%, the prevalence of obesity was 5.2 % in male subjects and 1.8% in female subjects, respectively. study The 2002 in Saudi Arabia Prevalence of Obesity and Overweight In 1-18-Year-Old Saudi Children The overall prevalence of overweight was 10.7% and 12.7% in the boys and girls, respectively, and obesity was 6.0% and 6.74% in the two groups, respectively. The children were grouped according to the province to which they belonged, and prevalence of obesity and overweight were calculated for each province. The highest frequency was in the Eastern Province, while the lowest was in the Southern Province. The children were further grouped into 1-6, 6-12 and 12-18-year-olds and prevalence of obesity and overweight was calculated. In addition, at yearly intervals, the prevalence of obesity and overweight was calculated. Among the boys and girls, the maximum prevalence of obesity was in the 2-3 year-olds. A decrease in prevalence was found in both males and females up to the age group of 8-13 years, and then the prevalence increased again up to the 18 years age. Study in 2018 in Sri Lanka Overweight and obesity among adolescent school children in the Colombo education zone Prevalence of overweight and obesity among adolescents was revealed as 10.8% (CI 9.3-12.5) and 3.9% (CI 3.1-5.0) respectively, with no gender difference. Studying in semigovernment or international schools was statistically significantly associated with adolescent overweight and obesity (p=0.000).

Conclusion:

Overweight and obesity is a health problem in both developed and developing countries. Unhealthy dietary habits and sedentary lifestyle are the major risk factors for obesity in school aged children.

Recommendation;

regular intake of healthy diet, regular physical exercise and active participation in household activities should be promoted. At school level, importance of nutrition, physical activity, games, and sports should be included in school curriculum, and facilities should be provided for outdoor games. . Intervention measures focusing mainly on increasing the physical activity, decreasing consumption of energy dense foods.

References:

1- World Health Organization. Global strategy on Diet, Physical Activity and Health: Childhood overweight and obesity (Available from: www.who.int/dietphysicalactivity/childhood/en/).

2- Gupta N, Goel K, Shah P, Misra A. Childhood obesity in developing countries: epidemiology, determinants, and prevention. Endocrine Review. 2012;33(1):48–70.

3-Tzioumis E, Adair LS. Childhood dual burden of under- and over-nutrition in low- and middle-income countries: a critical review. National Institute of Health. 2014;35(2):230–43.

4-Rivera JÁ, de Cossío TG, Pedraza LS, Aburto TC, Sánchez TG, Martorell R. Childhood and adolescent overweight and obesity in Latin America: a systematic review. Lancet Diabetes Endocrinol. 2014;2(4):321–32.

5- Patterson R, Risby A, Chan MY. Consumption of takeaway and fast food in a deprived inner London borough: are they associated with childhood obesity? BMJ Open. 2012;2(3)

6- Amin TT, Al-Sultan AI, Ali A. Overweight and obesity and their relation to dietary habits and socio-demographic characteristics among male primary school children in al-Hassa, Kingdom of Saudi Arabia. Eur J Nutr. 2008;47(6):310–8.

7- Must A, Strauss RS. Risks and consequences of childhood and adolescent obesity. Int J Obes Relat Metab Disord. 1999;23:S2-11.

8- Chu NF, Pan WH. Prevalence of obesity and its comorbidities among schoolchildren in Taiwan. Asia Pac J Clin Nutr 2007;16:601-7.

9- Birch LL, Fisher JO. Development of eating behaviors among children and adolescents. Pediatrics. 1998;101(Supplement 2):539–49.

10- Hill JO, Wyatt HR, Peters JC. Energy balance and obesity. Circulation. 2012;126(1):126–132.

11- Kerkadi A, Hassan AS, Yousef AEM. High prevalence of the risk of overweight and overweight among Qatari children ages 9 through 11. Nutrition & Food Science. 2009;39:36–45.

12- Bagchi K. Nutrition in the Eastern Mediterranean Region of the World Health Organization. East Mediterr Health J. 2008;14 Suppl:S107–S113.

13-  Al-Naqeeb B. The role of parents and schools in preventing childhood obesity. UCQ Nursing Journal of Academic Writing. 2010;Winter 2010:37–44.

14- Bener A, Al-Mahdi HS, Ali AI, Al-Nufal M, Vachhani PJ, Tewfik I. Obesity and low vision as a result of excessive internet use and television viewing. Int J Food Sci Nutr. 2011;62:60–62.

15- Lazarus R, Baur L, Webb K, Blyth F. Body mass index in screening for adiposity in children and adolescents: Systematic evaluation using receiver operating characteristic curves. Am J Clin Nutr. 1996;63:500–6.

16- Obesity and overweight. World Health Organization [online factsheet] (hthttp://www.who.int/mediacentre/factsheets/ fs311/en/index.html, accessed 27 January 2010).

17- American Academy of Pediatrics, American Public Health Association (2011) Caring for our children: National health and safety performance standards: Guidelines for early care and early education programs.

18-  Ebbeling CB, Pawlak DB, Ludwig DS. Childhood obesity: Public-health crisis, common sense cure. Lancet 2002;360:473-82.

19- Andersen RE. The spread of the childhood obesity epidemic [commentary]. CMAJ 2000;163:1461-2.

20- Tremblay MS, Willms JD. Secular trends in the body mass index of Canadian children. CMAJ2000;163:1429-33.

21-Tremblay MS, Katzmarzyk PT, Willms JD. Temporal trends in overweight and obesity in Canada, 1981-1996. Int J Obes Relat Metab Disord 2002;26:538-43.

22-  Tremblay MS, Inman JW, Willms JD. Relationships between physical activity, self esteem, and academic achievements in ten- and eleven-year-old children. Pediatr Exer Sci 2000;11:312-23.

23- Hesketh K, Wake M, Waters E. Body mass index and parent-reported self-esteem in elementary school children: evidence for a causal relationship. Int J Obes Relat Metab Disord 2004;28:1233-7.

24-  Must A, Strauss RS. Risks and consequences of childhood and adolescent obesity. Int J Obes Relat Metab Disord 1999;23(Suppl 2):S2-11.

25-  Dietz WH. Overweight in childhood and adolescence. N Engl J Med 2004; 350:855-7.

26- Manson JE, Bassuk SS. Obesity in the United States. A fresh look at its high toll. JAMA 2003;289:229-30.

27-  Fontaine KR, Redden DT, Wang C, Westfall AO, Allison DB. Years of life lost due to obesity. JAMA2003;289:187-93.

28-Katzmarzyk PT, Janssen I. The economic costs associated with physical inactivity and obesity in Canada: An update. Can J Appl Physiol 2004;29:90-115.

29-  Nicklas T, Johnson R. Position of the American Dietetic Association: dietary guidance for healthy children ages 2 to 11 years. J Am Diet Assoc 2004;104:660-77.

30- 13 Katzmarzyk PT, Ardern CI. Overweight and obesity mortality trends in Canada, 1985–2000. Can J Public Health 2004;95:16-20.

31- Power C, Graham H, Due P, Hallqvist J, Joung I, Kuh D, et al. The contribution of childhood and adult socioeconomic position to adult obesity and smoking behaviour: an international comparison. Int J Epidemiol 2005;34:335-44.

32-Lamerz A, Kuepper-Nybelen J, Wehle C, Bruning N, Trost-Brinkhues G, Brenner H, et al. Social class, parental education, and obesity prevalence in a study of six-year-old children in Germany. Int J Obes Relat Metab Disord 2005;29:373-80.

33-Tremblay MS, Willms JD. Is the Canadian childhood obesity epidemic related to physical inactivity? Int J Obes Relat Metab Disord 2003;27:1100-5.

34-Hancox RJ, Milne BJ, Poulton R. Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study. Lancet 2004:17;364:257-62.

35- Graf C, Koch B, Dordel S, Schindler-Marlow S, Icks A, Schuller A, et al. Physical activity, leisure habits and obesity in first-grade children. Eur J Cardiovasc Prev Rehabil 2004;11:284-90.

36-Willms JD. Early Childhood Obesity: A call for early surveillance and preventive measures. CMAJ2004;171:243-4.

37-Canning PM, Courage ML. Frizzell. Prevalence of overweight and obesity in a provincial population of Canadian preschool children. CMAJ 2004;171:240-2.

38- Swinburn B, Gill T, Kumanyika S. Obesity prevention: a proposed framework for translating evidence into action. Obes Rev 2005;6:23-33.

39- Davison KK, Birch LL. Childhood overweight: A contextual model and recommendations for future research. Obes Rev. 2001;2:159–71.

40- Anderson PM, Butcher KE. Childhood obesity: Trends and potential causes. Future Child. 2006;16:19–45.

41- Center for Disease Control and Prevention. Contributing factors. 2010. [Last accessed on 2014 Jul 01]. Available from: http://www.cdc.gov//obesity/childhood/contributing_factors.html.

42- Patrick H, Nicklas T. A review of family and social determinants of children’s eating patterns and diet quality. J Am Coll Nutr. 2005;24:83–92.

43- Birch LL, Fisher JO. Development of eating behaviours among children and adolescents. Pediatrics. 1998;101:539–49.

44- Niehoff V. Childhood obesity: A call to action. Bariatric Nursing and Surgical Patient. Care. 2009;4:17–23.

45- Davis MM, et al. (2007). Recommendations for prevention of childhood obesity. Pediatrics 7(120):229–253.

46- Casazza K, et al. (2015). Weighing the evidence of common beliefs in obesity research. Critical Reviews in Food Science Nutrition 55(14):2014–2053.

47- Bo S, et al. (2014). Impact of snacking pattern on overweight and obesity risk in a cohort of 11- to 13-year-old adolescents. Journal of Pediatric Gastroenterology & Nutrition 59(4):465–471.

48- Puder JJ & Munsch S (2010). Psychological correlates of childhood obesity. International Journal of Obesity 34(2):37–43.

49-  Sisson SB, Church TS, Martin CK, et al. Profiles of sedentary behavior in children and adolescents: the US National Health and Nutrition Examination Survey, 2001–2006. Int J Pediatr Obes. 2009;4:353–359.

50-  Fulton JE, Wang X, Yore MM, et al. Television viewing, computer use, and BMI among US children and adolescents. J Phys Act Health. 2009;6(Suppl 1):S28–S35.

51-  He M, Harris S, Piche L, Beynon C. Understanding screen-related sedentary behavior and its contributing factors among school-aged children: a social-ecologic exploration. Am J Health Promot. 2009;23:299–308.

52-  Zimmermann F, Bell J. Associations of television content type and obesity in children. Am J Public Health. 2010;100:334–340.

53-  Mitchell JA, Mattocks C, Ness AR, et al. Sedentary behavior and obesity in a large cohort of children. Obesity (Silver Spring) 2009;17:1596–1602.

54-  McGavock JM, Torrance BD, McGuire KA, et al. Cardiorespiratory fitness and the risk of overweight in youth: the Healthy Hearts Longitudinal Study of Cardiometabolic Health. Obesity (Silver Spring) 2009;17:1802–1807.

55-  Roberts CK, Freed B, McCarthy WJ. Low aerobic fitness and obesity are associated with lower standardized test scores in children. J Pediatr. 2010;156:711–718.

56- World Health Organization (WHO) (2011). Global Recommendations on Physical Activity for Health. Geneva, Switzerland: WHO.

57- Lara-Pantin E. Obesity in developing countries. In: Berry E, Blondheim SH, Eliahou HE, et al., editors. Recent Advances in Obesity Research. V. London: John Libbey & Co., 1987:5-8.

58- Martorell R, Kettel Khan L, Hughes ML, Grummer Strawn LM. Overweight and obesity in preschool children from developing countries. Int J Obes Relat Metab Disord 2000;24:959-67.

59- Ginsberg-Fellner F, Jagendorf LA, Carmel H, Harris T. Overweight and obesity in preschool children in New York City. Am J Clin Nutr 1981;34:2236-41.

60- Sawa SC, Tornaritis M, Sawa ME, Kourides Y, Panagi A, Silikiotou N, et al. Waist circumference and waist-to-height ratio are better predictors of cardiovascular disease risk factors in children than body mass index. Int J Obes Relat Metab Disord 2000;24:1453-8.

61- Berenson GS, SrinivasanSR, Bao W, Newman WP et al. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogulusa Heart Study. New Engl J Med 1998;338:1650-6.

62. Luaay abdulwahid shihab, ISRAA HUSSIN ABD, Zeinab Faisal Abd, Zahia Abdel-Hussein Masatar, w (2018), Evaluation of the nurses’ knowledge about the internet, Journal of Network Computing and Applications 3: 1-7 Clausius Scientific Press, Canada.