Childhood Obesity, International Association for the Study of Obesity, International Obesity Taskforce, available at <http://www.iotf.org/childhoodobesity.asp> (last visited December 19, 2006); LobsteinT.BaurL.UauyR., “Obesity in Children and Young People: A Crisis in Public Health,”Obesity Reviews5, Supplement 1 (2004): 4–104; Definitions of “overweight” and “obesity” vary, as does measurement. In 2000, the Centers for Disease Control and Prevention (CDC) recommended using the terms “at risk for overweight” to refer to children >=85th percentile of BMI for age- and sex-specific growth curves, while “overweight” refers to those >=95th percentile of BMI. National Center for Health Statistics, CDC Growth Charts: United States. (Atlanta, GA: Centers for Disease Control, 2000), available at <http://www.cdc.gov/growthcharts> (last visited January 10, 2007). At the same time, the International Obesity Taskforce provided BMI cutpoints and recommended using the terms “overweight” and “obese” for these same cutpoints to be consistent with the adult definitions. ColeT. J.BellizziM. C.FlegalK. M.DietzW. H., “Establishing a Standard Definition for Child Overweight and Obesity Worldwide: International Survey,”British Medical Journal320, no. 7244 (2000): 1240–1243. The studies that will be discussed in this review are inconsistent in their definition of “overweight” or “obesity,” and body fat may also be measured using different methods, including body mass index (BMI), percent body fat, skinfold thicknesses, etc. While some effort is made to define how “overweight” was measured, clearly this is not feasible to do for every study cited. Therefore, while differences in how excess body fat is measured are important methodological considerations, for the purposes of this review article the terms “overweight” and “obese” should be considered relative terms.
2.
See Childhood Obesity, supra note 1; Lobstein, supra note 1.
3.
OgdenC. L.CarrollM. D.CurtinL. R.McDowellM. A.TabakC. J.FlegalK. M., “Prevalence of Overweight and Obesity in the United States, 1999–2004,”JAMA295, no. 13 (2006): 1549–1555.
4.
Ibid.
5.
See Lobstein, supra note 1.
6.
ZackP. M.HarlanW. R.LeavertonP. E.Cornoni-HuntleyJ., “A Longitudinal Study of Body Fatness in Childhood and Adolescence,”Journal of Pediatrics95, no. 1 (1979): 126–130.
7.
MossbergH. O., “40-Year Follow-Up of Overweight Children,”Lancet2, no. 8661 (1989): 491–493; DietzW. H., “Childhood Weight Affects Adult Morbidity and Mortality,”Journal of Nutrition128, no. 2, Supplement (1998): 411S–414S; SchroederD. G.MartorellR., “Fatness and Body Mass Index from Birth to Young Adulthood in a Rural Guatemalan Population,”American Journal of Clinical Nutrition70, no. 1 (1999): 137S–144S; GarnS. M.LaVelleM., “Two-decade Follow-Up of Fatness in Early Childhood,”American Journal of Diseases of Children139, no. 2 (1985): 181–185.
8.
See Dietz, supra note 7.
9.
Pi-SunyerF. X., “Medical Hazards of Obesity,”Annals of Internal Medicine119, no. 7, pt. 2 (1993): 655–660.
10.
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11.
DehghanM.Akhtar-DaneshN.MerchantA. T., “Childhood obesity, Prevalence and Prevention,”Nutrition Journal4 (2005): 24; EbbelingC. B.PawlakD. B.LudwigD. S., “Childhood Obesity: Public-health Crisis, Common Sense Cure,”Lancet360, no. 9331 (2002): 473–482; KrebsN. F.JacobsonM. S., “Prevention of Pediatric Overweight and Obesity,”Pediatrics112, no. 2 (2003): 424–430; SherryB., “Food Behaviors and other Strategies to Prevent and Treat Pediatric Overweight,”International Journal of Obesity29Supplement 2 (2005): S116–126; RodriguezG.MorenoL. A., “Is Dietary Intake Able to Explain Differences in Body Fatness in Children and Adolescents?”Nutrition, Metabolism, and Cardiovascular Diseases16, no. 4 (2006): 294–301; NicklasT. A.BaranowskiT.CullenK. W.BerensonG., “Eating Patterns, Dietary Quality and Obesity,”Journal of the American College of Nutrition20, no. 6 (2001): 599–608; MaffeisC., “Childhood Obesity: The Genetic-Environmental Interface,”Bailli'ere's Best Practice & Research, Clinical Endocrinology & Metabolism13, no. 1 (1999): 31–46; IkedaJ. P.MitchellR. A., “Dietary Approaches to the Treatment of the Overweight Pediatric Patient,”Pediatric Clinics of North America48, no. 4 (2001): 955–968, ix.
12.
SavageJ. S.FisherJ. O.BirchL. L., “Parental Influence on Eating Behavior: Conception to Adolescence,”Journal of Law, Medicine & Ethics35, no. 1 (2007): 22–34.
13.
NielsenS. J.Siega-RizA. M.PopkinB. M., “Trends in Energy Intake in U.S. between 1977 and 1996: Similar Shifts Seen across Age Groups,”Obesity Research10, no. 5 (2002): 370–378.
LedikweJ. H.Ello-MartinJ. A.RollsB. J., “Portion Sizes and the Obesity Epidemic,”Journal of Nutrition135, no. 4 (2005): 905–909.
16.
Ello-MartinJ. A.LedikweJ. H.RollsB. J., “The Influence of Food Portion Size and Energy Density on Energy Intake: Implications for Weight Management,”American Journal of Clinical Nutrition82, no. 1, Supplement (2005): 236S–241S.
17.
NielsenS. J.PopkinB. M., “Patterns and Trends in Food Portion Sizes, 1977–1998,”JAMA289, no. 4 (2003): 450–453.
18.
Ibid.
19.
WillettW. C., “Is Dietary Fat a Major Determinant of Body Fat?”American Journal of Clinical Nutrition67, no. 3, Supplement (1998): 556S–562S.
20.
MortonJ. F.GuthrieJ. F., “Changes in Children's Total Fat Intakes and their Food Group Sources of Fat, 1989–91 versus 1994–95: Implications for Diet Quality,”Family Economics and Nutrition Review11, no. 3 (1998): 44–57.
21.
See Ibid.
22.
Nielsen, supra note 13.
23.
SaldanhaL. G., “Fiber in the Diet of U.S. Children: Results of National Surveys,”Pediatrics96, no. 5, pt. 2 (1995): 994–997.
24.
Ibid.
25.
WilliamsC. L., “Dietary Fiber in Childhood,”Journal of Pediatrics149 (2006): S121–S130.
26.
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HillJ. O.PetersJ. C., “Environmental Contributions to the Obesity Epidemic,”Science280, no. 5368 (1998): 1371–1374.
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29.
NielsenS. J.PopkinB. M., “Changes in Beverage Intake between 1977 and 2001,”American Journal of Preventive Medicine27, no. 3 (2004): 205–210.
30.
See Forshee, supra note 28.
31.
See Nielsen, supra note 29.
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33.
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34.
BartonB. A.EldridgeA. L.ThompsonD.AffenitoS. G.Striegel-MooreR. H.FrankoD. L.AlbertsonA. M.CrockettS. J., “The Relationship of Breakfast and Cereal Consumption to Nutrient Intake and Body Mass Index: The National Heart, Lung, and Blood Institute Growth and Health Study,”Journal of the American Dietetic Association105, no. 9 (2005): 1383–1389; AffenitoS. G.ThompsonD. R.BartonB. A.FrankoD. L.DanielsS. R.ObarzanekE.SchreiberG. B.Striegel-MooreR. H., “Breakfast Consumption by African-American and White Adolescent Girls Correlates Positively with Calcium and Fiber Intake and Negatively with Body Mass Index,”Journal of the American Dietetic Association105, no. 6 (2005): 938–945.
35.
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36.
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37.
See Willett, supra note 19.
38.
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56.
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58.
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71.
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74.
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75.
See McGloin, supra note 40. Ap for trend indicates that body fat increased across the four quartiles of dietary fat intake.
76.
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77.
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78.
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79.
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80.
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85.
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89.
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91.
See Rolland-Cachera, “Influence of Macronutrients on Adiposity Development: A Follow Up Study of Nutrition and Growth from 10 Months to 8 Years of Age,”supra note 41.
92.
See Magarey, supra note 41.
93.
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94.
See Gillis, supra note 43.
95.
See Guillaume, supra note 40.
96.
Ibid.
97.
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98.
MatsuyamaT.ShojiK.WatanabeH.ShimizuM.SaotomeY.NagaoT.MatsuoN.HaseT.TokimitsuI.NakayaN., “Effects of Diacylglycerol Oil on Adiposity in Obese Children: Initial Communication,”Journal of Pediatric Endocrinology & Metabolism19, no. 6 (2006): 795–804.
99.
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100.
See Ball, supra note 39.
101.
See Ortega, supra note 39.
102.
See Azizi, supra note 43.
103.
See Rolland-Cachera, “Adiposity Rebound in Children: A Simple Indicator For Predicting Obesity,”supra note 41; Skinner, supra note 90.
104.
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105.
See Carruth, supra note 86.
106.
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107.
See Magarey, supra note 41.
108.
See Atkin, supra not 40.
109.
See Ball, supra note 39; Grant, supra note 43; Azizi, supra note 43.
110.
See Kelishadi, supra note 39.
111.
See Ortega, supra note 39.
112.
See Hassapidou, supra note 52.
113.
See Atkin, supra note 40; Davis, supra note 40.
114.
Greene-FinestoneL. S.CampbellM. K.EversS. E.GutmanisI. A., “Adolescents' Low-carbohydrate-density Diets are Related to Poorer Dietary Intakes,”Journal of the American Dietetic Association105, no. 11 (2005): 1783–1788. An Odds Ratio, or OR, estimates the odds (or risk) of obesity in one group compared to another, while the Confidence Interval, or CI, is the range of values within which we can be 95% sure that the true value for the population lies. In this case, individuals consuming a low carbohydrate density diet had a 27% increase in the odds of obesity compared to those consuming a high carbohydrate density diet, and the true risk could range from 2% to 57%. As the CI doesn't contain include a 1, the association is statistically significant (i.e., p < 0.05).
115.
See Maillard, supra note 73.
116.
See Guillaume, supra note 40.
117.
See Gazzaniga, supra note 48.
118.
See Tucker, supra note 44; Huang, supra note 58.
119.
See Huang, supra note 58.
120.
See Robertson, supra note 87.
121.
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122.
See Rolland-Cachera, “Adiposity Rebound in Children: A Simple Indicator for Predicting Obesity,”supra note 41; Jago, supra note 41; Newby, supra note 41.
123.
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LiuS.WillettW. C.MansonJ. E.HuF. B.RosnerB.ColditzG., “Relation between Changes in Intakes of Dietary Fiber and Grain Products and Changes in Weight and Development of Obesity among Middle-aged Women,”American Journal of Clinical Nutrition78, no. 5 (2003): 920–927; Koh-BanerjeeP.FranzM.SampsonL.LiuS.JacobsD. R.Jr.SpiegelmanD.WillettW.RimmE., “Changes in Whole-grain, Bran, and Cereal Fiber Consumption in Relation to 8-y Weight Gain among Men,”American Journal of Clinical Nutrition80, no. 5 (2004): 1237–1245; BazzanoL. A.SongY.BubesV.GoodC. K.MansonJ. E.LiuS., “Dietary Intake of Whole and Refined Grain Breakfast Cereals and Weight Gain in Men,”Obesity Research13, no. 11 (2005): 1952–1960.
125.
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126.
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127.
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128.
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129.
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130.
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131.
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132.
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133.
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134.
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135.
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136.
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137.
SalmeronJ.MansonJ. E.StampferM. J.ColditzG. A.WingA. L.WillettW. C., “Dietary Fiber, Glycemic Load, and Risk of Non-insulin-dependent Diabetes Mellitus in Women,”JAMA277, no. 6 (1997): 472–477; SalmeronJ.AscherioA.RimmE. B.ColditzG. A.SpiegelmanD.JenkinsD. J.StampferM. J.WingA. L.WillettW. C., “Dietary Fiber, Glycemic Load, and Risk of NIDDM in Men,”Diabetes Care20no. 4 (1997): 545–550.
138.
PawlakD. B.EbbelingC. B.LudwigD. S., “Should Obese Patients be Counseled to Follow a Low-glycaemic Index Diet? Yes,”Obesity Reviews3, no. 4 (2002): 235–243; RabenA., “Should Obese Patients be Counseled to Follow a Low-glycaemic Index Diet? No,”Obesity Reviews3, no. 4 (2002): 245–256.
139.
ScaglioniSalaM.StivalG.GiroliM.RaimondiC.SalvioniM.RadaelliG.AgostoniC.RivaE.GiovanniniM., “Dietary Glycemic Load and Macronutrient Intake in Healthy Italian Children,”Asia-Pacific Journal of Public Health17, no. 2 (2005): 88–92.
140.
LudwigD. S.MajzoubJ. A.Al-ZahraniA.DallalG. E.BlancoI.RobertsS. B., “High Glycemic Index Foods, Overeating, and Obesity,”Pediatrics103, no. 3 (1999): E26.
141.
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142.
WarrenJ. M.HenryC. J.SimoniteV., “Low Glycemic Index Breakfasts and Reduced Food Intake in Preadolescent Children,”Pediatrics112, no. 5 (2003): e414.
143.
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144.
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145.
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146.
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147.
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148.
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149.
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150.
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151.
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152.
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153.
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154.
ViolanteR.del Rio NavarroB. E.BerberA.Ramirez ChanonaN.Baeza BacabM.Sienra MongeJ. J., “Obesity Risk Factors in the ISAAC (International Study of Asthma and Allergies in Childhood) in Mexico City,”Revista Alergia México52, no. 4 (2005): 141–145.
155.
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156.
Newby, supra note 41.
157.
FaithM. S.DennisonB. A.EdmundsL. S.StrattonH. H., “Fruit Juice Intake Predicts Increased Adiposity Gain in Children from Low-income Families: Weight Status-by-environment Interaction,”Pediatrics118, no. 5 (2006): 2066–2075.
158.
FieldA. E.GillmanM. W.RosnerB.RockettH. R.ColditzG. A., “Association between Fruit and Vegetable Intake and Change in Body Mass Index among a Large Sample of Children and Adolescents in the United States,”International Journal of Obesity and Related Metabolic Disorders27, no. 7 (2003): 821–826.
159.
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160.
Newby, supra note 41. See “Confidence Interval,”supra note 114.
161.
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162.
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163.
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GibsonS. A.O'SullivanK. R., “Breakfast Cereal Consumption Patterns and Nutrient Intakes of British Schoolchildren,”Journal of the Royal Society of Health115, no. 6 (1995): 366–370; AlbertsonA. M.AndersonG. H.CrockettS. J.GoebelM. T., “Ready-to-Eat Cereal Consumption: Its Relationship with BMI and Nutrient Intake of Children Aged 4 to 12 Years,”Journal of the American Dietetic Association103, no. 12 (2003): 1613–1619; KafatosA.LinardakisM.BertsiasG.MammasI.FletcherR.BervanakiF., “Consumption of Ready-to-Eat Cereals in Relation to Health and Diet Indicators among School Adolescents in Crete, Greece,”Annals of Nutrition & Metabolism49, no. 3 (2005): 165–172; see Barton, supra note 34.
165.
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167.
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168.
See Baric, supra note 153; The Pearson correlation coefficient, or r, shows the linear correlation between two variables. In this study, a value of −0.34 indicates a weak inverse association between cereal consumption and body fat, and the association is highly significant since the p value is so small (p < 0.0001); see “Confidence Interval,”supra note 114.
169.
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170.
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171.
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172.
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174.
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176.
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177.
PhillipsS. M.BandiniL. G.NaumovaE. N.CyrH.ColcloughS.DietzW. H.MustA., “Energy-dense Snack Food Intake in Adolescence: Longitudinal Relationship to Weight and Fatness,”Obesity Research12, no. 3 (2004): 461–472.
178.
FieldA. E.AustinS. B.GillmanM. W.RosnerB.RockettH. R.ColditzG. A., “Snack Food Intake does Not Predict Weight Change among Children and Adolescents,”International Journal of Obesity & Related Metabolic Disorders28, no. 10 (2004): 1210–1216.
179.
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180.
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181.
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182.
FrancisL. A.LeeY.BirchL. L., “Parental Weight Status and Girls' Television Viewing, Snacking, and Body Mass Indexes,”Obesity Research11, no. 1 (2003): 143–151.
183.
FisherJ. O.BirchL. L., “Eating in the Absence of Hunger and Overweight in Girls from 5 to 7 Y of Age,”American Journal of Clinical Nutrition76, no. 1 (2002): 226–231.
184.
NewbyP. K.TuckerK. L., “Empirically Derived Eating Patterns Using Factor or Cluster Analysis: A Review,”Nutrition Reviews62, no. 5 (2004): 177–203.
185.
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186.
KnolL. L.HaughtonB.FitzhughE. C., “Dietary Patterns of Young, Low-income U.S. Children,”Journal of the American Dietetic Association105, no. 11 (2005): 1765–1773; AlexyU.Sichert-HellertW.KerstingM.Schultze-PawlitschkoV., “Pattern of Long-term Fat Intake and BMI during Childhood and Adolescence – Results of the DONALD Study,”International Journal of Obesity & Related Metabolic Disorders28, no. 10 (2004): 1203–1209.
187.
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188.
NewbyP. K.MullerD.HallfrischJ.QiaoN.AndresR.TuckerK. L., “Dietary Patterns and Changes in Body Mass Index and Waist Circumference in Adults,”American Journal of Clinical Nutrition77, no. 6 (2003): 1417–1425; NewbyP. K.WeismayerC.AkessonA.TuckerK. L.WolkA., “Longitudinal Changes in Food Patterns Predict Changes in Weight and Body Mass Index and the Effects are Greatest in Obese Women,”Journal of Nutrition136, no. 10 (2006): 2580–2587; QuatromoniP. A.CopenhaferD. L.D'AgostinoR. B.MillenB. E., “Dietary Patterns Predict the Development of Overweight in Women: The Framingham Nutrition Studies,”Journal of the American Dietetic Association102, no. 9 (2002): 1239–1246.
189.
HyamsJ. S.EtienneN. L.LeichtnerA. M.TheuerR. C., “Carbohydrate Malabsorption Following Fruit Juice Ingestion in Young Children,”Pediatrics82, no. 1 (1988): 64–68.
190.
SmithM. M.DavisM.ChasalowF. I.LifshitzF., “Carbohydrate Absorption from Fruit Juice in Young Children,”Pediatrics95, no. 3 (1995): 340–344.
191.
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192.
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193.
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194.
DennisonB. A.RockwellH. L.BakerS. L., “Excess Fruit Juice Consumption by Preschool-aged Children is Associated with Short Stature and Obesity,”Pediatrics99, no. 1 (1997): 15–22.
195.
SmithM. M.LifshitzF., “Excess Fruit Juice Consumption as a Contributing Factor in Nonorganic Failure to Thrive,”Pediatrics93, no. 3 (1994): 438–443.
196.
DennisonB. A.RockwellH. L.NicholsM. J.JenkinsP., “Children's Growth Parameters Vary by Type of Fruit Juice Consumed,”Journal of the American College of Nutrition18, no. 4 (1999): 346–352. Like BMI, the ponderal index, or PI, calculated as weight in kg/height3 or length3 in m, is a measure that may be used to estimate adiposity. It is often used to estimate body fat in infants and young children.
197.
RiddickH.Kramer-LeBlancC.BowmanS. A.DavisC., “Is Fruit Juice Dangerous for Children?”Center for Nutrition Policy and Promotion, available at <http://www.usda.gov/fcs/cnpp.htm> (last visited August 1, 1998).
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199.
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200.
SkinnerJ. D.CarruthB. R.MoranJ.3rdHouckK.ColettaF., “Fruit Juice Intake is Not Related to Children's Growth,”Pediatrics103, no. 1 (1999): 58–64; see “Ponderal index,”supra note 196.
201.
AlexyU.Sichert-HellertW.KerstingM.ManzF.SchochG., “Fruit Juice Consumption and the Prevalence of Obesity and Short Stature in German Preschool Children: Results of the DONALD Study. Dortmund Nutritional and Anthropometrical Longitudinally Designed,”Journal of Pediatric Gastroenterology & Nutrition29, no. 3 (1999): 343–349.
202.
SkinnerJ. D.CarruthB. R., “A Longitudinal Study of Children's Juice Intake and Growth: The Juice Controversy Revisited,”Journal of the American Dietetic Association101, no. 4 (2001): 432–437.
203.
NewbyP. K.PetersonK. E.BerkeyC.GardnerJ.LeppertJ.WillettW.ColditzG., “Beverage Consumption is Not Related to Changes in Weight and Body Mass among Low-income Preschool Children in North Dakota,”Journal of the American Dietetic Association104, no. 7 (2004): 1086–1094.
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205.
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207.
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208.
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212.
HarnackL.StangJ.StoryM., “Soft Drink Consumption among U.S. Children and Adolescents: Nutritional Consequences,”Journal of the American Dietetic Association, 99no. 4 (1999): 436–441; Nielse, supra note 29.
213.
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214.
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216.
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MrdjenovicG.LevitskyD. A., “Nutritional and Energetic Consequences of Sweetened Drink Consumption in 6- to 13- Year-Old Children,”Journal of Pediatrics142, no. 6 (2003): 604–610.
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NovotnyR.DaidaY. G.AcharyaS.GroveJ. S.VogtT. M., “Dairy Intake is Associated with Lower Body Fat and Soda Intake with Greater Weight in Adolescent Girls,”Journal of Nutrition134, no. 8 (2004): 1905–1909; TamC. S.GarnettS. P.CowellC. T.CampbellK.CabreraG.BaurL. A., “Soft Drink Consumption and Excess Weight Gain in Australian School Students: Results from the Nepean Study,”International Journal of Obesity (London)30, no. 7 (2006): 1091–1093; GiammatteiJ.BlixG.MarshakH. H.WollitzerA. O.PettittD. J., “Television Watching and Soft Drink Consumption: Associations with Obesity in 11- to 13-Year-Old Schoolchildren,”Archives of Pediatrics & Adolescent Medicine157, no. 9 (2003): 882–886.
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BarbaG.TroianoE.RussoP.VeneziaA.SianiA., “Inverse Association between Body Mass and Frequency of Milk Consumption in Children,”British Journal of Nutrition93, no. 1 (2005): 15–19; see Baric, supra note 153.
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232.
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233.
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236.
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238.
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DixonL. B.PellizzonM. A.JawadA. F.TershakovecA. M., “Calcium and Dairy Intake and Measures of Obesity in Hyper- and Normocholesterolemic Children,”Obesity Research13, no. 10 (2005): 1727–1738.
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241.
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243.
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