Home Medicine Nutrition intake and physical activity in a middle school in New York City
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Nutrition intake and physical activity in a middle school in New York City

  • Marisol Gonzalez EMAIL logo , Ronald Feinstein , Carina Iezzi and Martin Fisher
Published/Copyright: December 23, 2014

Abstract

Purpose: The threat of childhood obesity has never been greater. Behavior changes implemented during childhood and adolescence are believed to be the most successful means of thwarting the progression of this epidemic. The American Academy of Pediatrics has developed a public health campaign that promotes awareness of clinical guidelines for nutrition and physical activity. The campaign is based on a concept developed by the Maine Center for Public Health referred to as “5-2-1-0 Healthy”. The simple clear message of this concept outlines steps families can take to help prevent and treat childhood obesity. The purpose of the present study is to determine the current level of compliance and health education needs of a middle school population related to the “5-2-1-0” concept.

Methods: A modified version of the 2010 National Youth Physical Activity and Nutrition Survey (developed by the Centers for Disease Control and Prevention) was distributed to students at a private, nonsectarian, middle school in New York City. The school is located in the borough of Manhattan, but includes youngsters from all five boroughs of the city. The questions were grouped and analyzed according to “5-2-1-0” categories. Surveys were scored, and the association between targeted questionnaire items and demographic variables (i.e., sex and grade) was examined.

Results: All 140 students completed the survey, and there was great variability in their responses to both the nutrition and physical activity questions. Of all students, 65% reported eating one cup or more of fruit daily, and 38% reported eating one cup or more of vegetables daily. There was no statistically significant difference reported in consumption of fruits or vegetables by gender or grade. Over 60% of students indicated <2 h of DVD/video or computer/video game time per day, while 10% indicated more than 3 h per day for each. A significant difference existed in the screen time reported between grades (more screen time by the older students) and a statistically significant difference also existed in the amount of physical activity reported by gender and grade (more physical activity by males and younger students). There was no difference in the reported consumption of sugar-sweetened beverages by gender or grade.

Conclusion: In a cohort of middle school students in New York City, there was great variability in compliance with the principles represented by the “5-2-1-0” concept. Changes in health behaviors were noted as students went from 6th to 7th to 8th grade, with physical activity decreasing and screen time increasing. Consequently, health curriculum topics for middle school students should focus on physical activity and screen time, while continuing to emphasize the need for proper nutrition.


Corresponding author: Marisol Gonzalez, MD, Division of Adolescent Medicine, Steven and Alexandra Cohen Children’s Medical Center, North Shore – Long Island Jewish Health System, 410 Lakeville Road, Suite 108, New Hyde Park, NY, USA, E-mail:

References

1. Ogden CL, Carroll ME, Kit BK, Flegal KM. Prevalence of obesity in the United States, 2009–2010. NCHS Data Brief 2012;82:1–8.Search in Google Scholar

2. Centers for Disease Control and Prevention. Adolescent and School Health. Childhood Obesity Facts. Health Effects of Childhood Obesity. Available at: http://www.cdc.gov/HealthyYouth/obesity/facts.htm. Accessed September 10, 2013.Search in Google Scholar

3. Li C, Ford ES, Zhao G, Mokdad AH. Prevalence of pre-diabetes and its association with clustering of cardiometabolic risk factors and hyperinsulinemia among US adolescents: NHANES 2005–2006. Diabetes Care 2009;32:342–7.10.2337/dc08-1128Search in Google Scholar PubMed PubMed Central

4. CDC. National diabetes fact sheet: national estimates and general information on diabetes and prediabetes in the United States, 2011. Atlanta, GA: U.S. Department of Health and Human Services.Search in Google Scholar

5. Daniels SR, Arnett DK, Eckel RH, Gidding SS, Hayman LL, et al. Overweight in children and adolescents: pathophysiology, consequences, prevention, and treatment. Circulation 2005;111;1999–2002.10.1161/01.CIR.0000161369.71722.10Search in Google Scholar PubMed

6. Office of the Surgeon General. The surgeon general’s vision for a healthy and fit nation. Rockville, MD: U.S. Department of Health and Human Services; 2010.Search in Google Scholar

7. Dietz WH. Overweight in childhood and adolescence. New Engl J Med 2004;350:855–7.10.1056/NEJMp048008Search in Google Scholar PubMed

8. Guo SS, Chumlea WC. Tracking of body mass index in children in relation to overweight in adulthood. Am J Clin Nutr 1999;70:S145–8.10.1093/ajcn/70.1.145sSearch in Google Scholar PubMed

9. Freedman DS, Kettel L, Serdula MK, Dietz WH, Srinivasan SR, et al. The relation of childhood BMI to adult adiposity: the Bogalusa Heart Study. Pediatrics 2005;115:22–7.10.1542/peds.2004-0220Search in Google Scholar PubMed

10. Freedman D, Wang J, Thornton JC, Mei Z, Sopher AB, et al. Classification of body fatness by body mass index-for-age categories among children. Arch Pediatr Adolesc Med 2009;163:801–11.10.1001/archpediatrics.2009.104Search in Google Scholar PubMed PubMed Central

11. Freedman DS, Khan LK, Dietz WH, Srinivasan SA, Berenson GS. Relationship of childhood obesity to coronary heart disease risk factors in adulthood: the Bogalusa Heart Study. Pediatrics 2001;108:712–8.10.1542/peds.108.3.712Search in Google Scholar PubMed

12. Must A. Does overweight in children have an impact on adult health? Nutr Rev 2003;61:139–42.10.1301/nr.2003.apr.139-142Search in Google Scholar PubMed

13. Amin R, Daniels SR. Relationship between obesity and sleep-disordered breathing in children: Is it a closed loop? J Pediatr 2002;140:641–3.10.1067/mpd.2002.125255Search in Google Scholar PubMed

14. National Center for Health Statistics. Health, United States, 2011: With Special Feature on Socioeconomic Status and Health. Contents. Chartbook Figures 1–21. Health risk factors. Obesity among children. Figure 10, p.14. Hyattville, MD: US Department of Health and Human Services, Center for Disease Control, 2011. Available at: http://www.cdc.gov/nchs/data/hus/hus11.pdf. Accessed August 13, 2013.Search in Google Scholar

15. Ogden CL, Carroll MD, Curtain LR, Lamb MM, Flegal KM, et al. Prevalence of high body mass index in US children and adolescents, 2007–2008. J Am Med Assoc 2010;303:242–9.10.1001/jama.2009.2012Search in Google Scholar PubMed

16. US Department of Health and Human Services. Office of Minority Health. Obesity and African Americans. Children. Adolescents. Available at: http://minorityhealth.hhs.gov/templates/content.aspx?ID=6456. Accessed August 14, 2013.Search in Google Scholar

17. Young-Hyman D, Schlundt DG, Herman L, De Luca F, Counts D. Evaluation of the insulin resistance syndrome in 5- to 10-year-old overweight/obese African-American children. Diabetes Care 2001;24:1359–64.10.2337/diacare.24.8.1359Search in Google Scholar PubMed

18. US Department of Health and Human Services. Office of Minority Health. Obesity and Hispanic Americans. Children. Adolescents. Available at: http://minorityhealth.hhs.gov/templates/content.aspx?ID=6459. Accessed Aug. 14, 2013.Search in Google Scholar

19. Taylor SA, Garland BH, Sanchez-Fournier BE, Allen KF, Wiemann CM. A qualitative study of the day-to-day lives of obese Mexican-American adolescent females. Pediatrics 2013;131:1132–8.10.1542/peds.2012-2114Search in Google Scholar PubMed

20. Vangeepuram N, Mervish N, Galvez MP, Brenner B, Wolff MS. Dietary and physical activity behaviors of New York City children from different ethnic minority subgroups. Acad Pediatr 2012;12:481–8.10.1016/j.acap.2012.06.014Search in Google Scholar PubMed PubMed Central

21. US Department of Health and Human Services. Childhood Obesity. Available at: http://aspe.hhs.gov/health/reports/child_obesity/. Accessed June 3, 2014.Search in Google Scholar

22. Lee H, Harris KM, Gordon-Larsen P. Life course perspectives on the links between poverty and obesity during the transition to young adulthood. Popul Res Policy Rev 2009;28:505–32.10.1007/s11113-008-9115-4Search in Google Scholar PubMed PubMed Central

23. Koplan JP, Liverman CT, Kraak VI, editors. Preventing childhood obesity: health in the balance. Washington, DC: National Academies Press, 2005.Search in Google Scholar

24. Childhood Obesity Prevention Program. Let’s Go! Maine. 5210 Let’s Go! Available at: http://www.letsgo.org/. Accessed Aug. 14, 2013.Search in Google Scholar

25. Centers for Disease Control and Prevention. Adolescent and School Health. National Youth Physical Activity and Nutrition Study (NYPANS). Available at: www.CDC.gov/HealthyYouth/yrbs/NYPANS.htm. Accessed February. 26, 2013.Search in Google Scholar

26. Iannotti RJ, Wang J. Trends in physical activity, sedentary behavior, diet, and BMI among US Adolescents, 2001–2009. Pediatrics 2013;132:606–14.10.1542/peds.2013-1488Search in Google Scholar PubMed PubMed Central


Article note

Presented at the Annual Meeting of the Society for Adolescent Health and Medicine, March 2013, Atlanta, Georgia.


Received: 2014-6-10
Accepted: 2014-8-9
Published Online: 2014-12-23
Published in Print: 2015-8-1

©2015 by De Gruyter

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