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Sugar Restriction Leads to Increased Ad Libitum Sugar Intake by Overweight Adolescents in an Experimental Test Meal Setting

      Abstract

      Background

      The impact of sugar restriction on subsequent sugar intake by overweight adolescents is unknown.

      Objective

      Our aim was to examine the effect of sugar restriction on subsequent ad libitum sugar intake by overweight adolescents and whether habitual sugar intake and impulsivity influence the effect of sugar restriction on subsequent sugar intake.

      Design

      This was an in-laboratory crossover feeding trial with sugar-exposure and sugar-restriction conditions.

      Participants/setting

      Eighty-seven overweight Latino and African-American adolescents underwent both meal conditions in two separate 8-hour in-laboratory visits.

      Intervention

      Participants had access to ad libitum snack trays for 3 hours after the condition-specific meals.

      Main outcome measures

      Ad libitum sugar intake during the snack period was measured at each visit. Habitual sugar intake and impulsivity were assessed at baseline.

      Statistical analyses performed

      Repeated measures analysis of covariance was used to examine the within-person effect of meal condition on ad libitum sugar intake. Mixed models were used to examine the moderating effects of habitual sugar intake and impulsivity on the meal condition−ad libitum sugar intake relationship.

      Results

      Participants consumed more ad libitum sugar during the snack period in the sugar-restriction condition than in the sugar-exposure condition (sugar restriction=78.63±38.84 g, sugar exposure=70.86±37.73 g; F=9.64, P=0.002). There was no relationship between habitual sugar intake and how much ad libitum sugar participants consumed during either condition. Higher impulsivity was associated with greater ad libitum sugar intake during both conditions (sugar restriction: b=.029, standard error=.01, P<0.05; sugar exposure: b=.034, standard error=.01, P<0.05).

      Conclusions

      Findings suggest that overweight adolescents restricted from sugar intake consume greater amounts of sugar when they are later given access to high-sugar foods. Overweight adolescents with higher impulsivity appear to consume greater amounts of sugar regardless of previous levels of sugar consumption. Compensatory sugar intake and trait impulsivity may have implications for dietary interventions in this population.

      Keywords

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      References

        • Parylak S.L.
        • Koob G.F.
        • Zorrilla E.P.
        The dark side of food addiction.
        Physiol Behav. 2011; 104: 149-156
        • Volkow N.D.
        • Wang G.-J.
        • Fowler J.S.
        • Telang F.
        Overlapping neuronal circuits in addiction and obesity: Evidence of systems pathology.
        Philos Trans R Soc Lond B Biol Sci. 2008; 363: 3191-3200
        • Davis C.
        • Carter J.C.
        Compulsive overeating as an addiction disorder. A review of theory and evidence.
        Appetite. 2009; 53: 1-8
        • Volkow N.D.
        • Wise R.A.
        How can drug addiction help us understand obesity?.
        Nat Neurosci. 2005; 8: 555-560
        • Adam T.C.
        • Epel E.S.
        Stress, eating and the reward system.
        Physiol Behav. 2007; 91: 449-458
        • Avena N.M.
        • Rada P.
        • Hoebel B.G.
        Evidence for sugar addiction: Behavioral and neurochemical effects of intermittent, excessive sugar intake.
        Neurosci Biobehav Rev. 2008; 32: 20-39
        • Berridge K.C.
        Pleasures of the brain.
        Brain Cogn. 2003; 52: 106-128
        • Polivy J.
        Psychological consequences of food restriction.
        J Am Diet Assoc. 1996; 96: 589-592
        • Fisher J.O.
        • Birch L.L.
        Restricting access to palatable foods affects children's behavioral response, food selection, and intake.
        J Am Diet Assoc. 1999; 69: 1264-1272
        • Guerrieri R.
        • Nederkoorn C.
        • Jansen A.
        The interaction between impulsivity and a varied food environment: Its influence on food intake and overweight.
        Int J Obesity. 2008; 32: 708-714
        • Logan G.D.
        • Schachar R.J.
        • Tannock R.
        Impulsivity and inhibitory control.
        Psychol Sci. 1997; 8: 60-64
        • Guerrieri R.
        • Nederkoorn C.
        • Jansen A.
        How impulsiveness and variety influence food intake in a sample of healthy women.
        Appetite. 2007; 48: 119-122
        • Frary C.D.
        • Johnson R.K.
        • Wang M.Q.
        Children and adolescents' choices of foods and beverages high in added sugars are associated with intakes of key nutrients and food groups.
        J Adolesc Health. 2004; 34: 56-63
        • Davis J.N.
        • Lê K.-A.
        • Walker R.W.
        • et al.
        Increased hepatic fat in overweight Hispanic youth influenced by interaction between genetic variation in PNPLA3 and high dietary carbohydrate and sugar consumption.
        Am J Clin Nutr. 2010; 92: 1522-1527
        • Mendoza J.A.
        • Drewnowski A.
        • Cheadle A.
        • Christakis D.A.
        Dietary energy density is associated with selected predictors of obesity in US children.
        J Nutr. 2006; 136: 1318-1322
        • O'Reilly G.A.
        • Belcher B.R.
        • Davis J.N.
        • et al.
        Effects of high-sugar and high-fiber meals on physical activity behaviors in Latino and African American adolescents.
        Obesity. 2015; 23: 1886-1894
      1. Nutrient Data System for Research.
        ([computer program]) University of Minnesota, Minneapolis, MN2010
        • Hellwig J.P.
        • Otten J.J.
        • Meyers L.D.
        Dietary Reference Intakes: The Essential Guide to Nutrient Requirements.
        The National Academies Press, Washington, DC2006
      2. National Cancer Institute. Learn more about energy adjustment. Dietary assessment primer. http://dietassessmentprimer.cancer.gov/learn/adjustment.html. Published 2015. Accessed February 1, 2016.

        • Whiteside S.P.
        • Lynam D.R.
        The five factor model and impulsivity: Using a structural model of personality to understand impulsivity.
        Pers Indiv Differ. 2001; 30: 669-689
        • Kuczmarski R.J.
        • Ogden C.L.
        • Guo S.S.
        • et al.
        2000 CDC growth charts for the United States: methods and development.
        Vital Health Stat Ser 11. 2002; : 1-190
      3. SAS [computer program]. Version 9.4. Cary, NC: SAS Institute; 2013.

        • Fisher J.O.
        • Birch L.L.
        Restricting access to foods and children's eating.
        Appetite. 1999; 32: 405-419
        • Birch L.L.
        • Fisher J.
        • Grimm-Thomas K.
        • Markey C.
        • Sawyer R.
        • Johnson S.L.
        Confirmatory factor analysis of the Child Feeding Questionnaire: A measure of parental attitudes, beliefs and practices about child feeding and obesity proneness.
        Appetite. 2001; 36: 201-210
        • Bassett R.
        • Chapman G.E.
        • Beagan B.L.
        Autonomy and control: The co-construction of adolescent food choice.
        Appetite. 2008; 50: 325-332
        • Hill J.O.
        • Peters J.C.
        • Wyatt H.R.
        Using the energy gap to address obesity: A commentary.
        J Am Diet Assoc. 2009; 109: 1848-1853
        • Wang Y.C.
        • Gortmaker S.L.
        • Sobol A.M.
        • Kuntz K.M.
        Estimating the energy gap among US children: A counterfactual approach.
        Pediatrics. 2006; 118: e1721-e1733
        • Plachta-Danielzik S.
        • Landsberg B.
        • Bosy-Westphal A.
        • Johannsen M.
        • Lange D.
        • Müller M.J.
        Energy gain and energy gap in normal-weight children: Longitudinal data of the KOPS.
        Obesity. 2008; 16: 777-783
        • Sengupta J.
        • Zhou R.
        Understanding impulsive eaters' choice behaviors: The motivational influences of regulatory focus.
        J Marketing Res. 2007; 44: 297-308
        • Patel K.A.
        • Schlundt D.G.
        Impact of moods and social context on eating behavior.
        Appetite. 2001; 36: 111-118
        • Campbell K.J.
        • Crawford D.A.
        • Salmon J.
        • Carver A.
        • Garnett S.P.
        • Baur L.A.
        Associations between the home food environment and obesity-promoting eating behaviors in adolescence.
        Obesity. 2007; 15: 719-730
        • Story M.
        • Neumark-Sztainer D.
        • French S.
        Individual and environmental influences on adolescent eating behaviors.
        J Am Diet Assoc. 2002; 102: S40-S51

      Biography

      G. A. O’Reilly was a doctoral candidate at the time of the study, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles.

      Biography

      D. S. Black is an assistant professor, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles.

      Biography

      J. Huh is an assistant professor of research, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles.

      Biography

      J. Unger is a professor, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles.

      Biography

      D. Spruijt-Metz is director, USC Center for Economic and Social Research Mobile and Connected Health Program, Center for Economic and Social Research, University of Southern California, Los Angeles.

      Biography

      J. N. Davis is an associate professor, Department of Nutritional Sciences, University of Texas at Austin.