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Research Original Research| Volume 117, ISSUE 12, P1900-1920, December 2017

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Determinants of Sugar-Sweetened Beverage Consumption among Low-Income Children: Are There Differences by Race/Ethnicity, Age, and Sex?

      Abstract

      Background

      Understanding determinants of high consumption of sugar-sweetened beverages (SSBs), a highly prevalent obesogenic behavior, will help build effective customized public health interventions.

      Objective

      Our aim was to identify child and parent lifestyle and household demographic factors predictive of high SSB consumption frequency in children from low-income, ethnically diverse communities that may help inform public health interventions.

      Design

      We used a cross-sectional telephone household survey.

      Participants/setting

      Participants were 717 boys and 686 girls aged 3 to 18 years old from the New Jersey Childhood Obesity Study living in five low-income cities (Camden, New Brunswick, Newark, Trenton, and Vineland). The adult most knowledgeable about household food shopping completed a questionnaire over the telephone inquiring about their and their child’s dietary and physical activity habits, and household-, parent-, and child-level demographics.

      Main outcome measures

      Child’s SSB consumption frequency was measured.

      Statistical analysis performed

      Multivariate ordered logit models were designed to investigate a variety of variables hypothesized to affect the frequency of SSB consumption. Exploratory stratified analyses by race, sex, and age were also conducted.

      Results

      Eight percent of our study participants never consumed SSBs, 45% consumed SSBs at least once per day, and 23% consumed twice or more per day. SSB consumption was higher among children 12 to 18 years vs 3 to 5 years (P<0.0001), of non-Hispanic black vs non-Hispanic white race/ethnicity (P=0.010), who were moderate fast food consumers vs never consumers (P=0.003), and those whose parents were high vs low SSB consumers (P<0.0001). Living in a non–English-speaking household (P=0.030), having a parent with a college or higher education vs less than high school (P=0.003), and having breakfast 6 to 7 days/wk vs never to 2 days/wk or less were associated with lower SSB consumption (P=0.001).

      Conclusions

      We identified a number of household-, parent-, and child-level predictors of SSB consumption, which varied by race, sex, and age, useful for building customized interventions targeting certain behaviors in ethnically diverse, low-income children.

      Keywords

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      References

        • Reedy J.
        • Krebs-Smith S.M.
        Dietary sources of energy, solid fats, and added sugars among children and adolescents in the United States.
        J Am Diet Assoc. 2010; 110: 1477-1484
        • Te Morenga L.
        • Mallard S.
        • Mann J.
        Dietary sugars and body weight: Systematic review and meta-analyses of randomised controlled trials and cohort studies.
        BMJ. 2012; 346: e7492
        • Malik V.S.
        • Pan A.
        • Willett W.C.
        • Hu F.B.
        Sugar-sweetened beverages and weight gain in children and adults: A systematic review and meta-analysis.
        Am J Clin Nutr. 2013; 98: 1084-1102
        • Tucker L.A.
        • Tucker J.M.
        • Bailey B.W.
        • LeCheminant J.D.
        A 4-year prospective study of soft drink consumption and weight gain: The role of calorie intake and physical activity.
        Am J Health Promt. 2015; 29: 262-265
        • Ogden C.
        • Carroll M.
        • Fryar C.
        • Flegal K.
        Prevalence of obesity among adults and youth: United States, 2011-2014.
        NCHS Data Brief. 2015; : 1-8
        • Singh A.S.
        • Mulder C.
        • Twisk J.W.
        • Van Mechelen W.
        • Chinapaw M.J.
        Tracking of childhood overweight into adulthood: A systematic review of the literature.
        Obes Rev. 2008; 9: 474-488
        • Wiecha J.L.
        • Finkelstein D.
        • Troped P.J.
        • Fragala M.
        • Peterson K.E.
        School vending machine use and fast-food restaurant use are associated with sugar-sweetened beverage intake in youth.
        J Am Diet Assoc. 2006; 106: 1624-1630
        • Park S.
        • Blanck H.M.
        • Sherry B.
        • Brener N.
        • O’Toole T.
        Factors associated with sugar-sweetened beverage intake among United States high school students.
        J Nutr. 2012; 142: 306-312
        • Ranjit N.
        • Evans M.H.
        • Byrd-Williams C.
        • Evans A.E.
        • Hoelscher D.M.
        Dietary and activity correlates of sugar-sweetened beverage consumption among adolescents.
        Pediatrics. 2010; 126: e754-e761
        • Han E.
        • Powell L.M.
        Consumption patterns of sugar-sweetened beverages in the United States.
        J Acad Nutr Diet. 2013; 113: 43-53
        • Rao G.
        • Kirley K.
        • Weiss-Coleman R.
        • et al.
        Consumption patterns of sugar-sweetened carbonated beverages among children and adolescents.
        Curr Cardiovasc Risk Rep. 2015; 9: 1-19
        • Wang Y.C.
        • Bleich S.N.
        • Gortmaker S.L.
        Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988-2004.
        Pediatrics. 2008; 121: e1604-e1614
        • Park S.
        • Sherry B.
        • Foti K.
        • Blanck H.M.
        Self-reported academic grades and other correlates of sugar-sweetened soda intake among US adolescents.
        J Acad Nutr Diet. 2012; 112: 125-131
        • Grimm G.C.
        • Harnack L.
        • Story M.
        Factors associated with soft drink consumption in school-aged children.
        J Am Diet Assoc. 2004; 104: 1244-1249
        • Centers for Disease Control and Prevention
        Youth Risk Behavior Surveillance System (YRBSS) Survey.
        US Department of Health and Human Services, Atlanta, GA2007
      1. California Health Interview Survey (CHIS). UCLA Center for Health Policy Research, Los Angeles, CA2005
        • Centers for Disease Control and Prevention
        Behavioral Risk Factor Surveillance System (BRFSS) Survey.
        US Department of Health and Human Services, Atlanta, GA2005
      2. STATA [computer program]. Release 12. College Station, TX: StataCorp LP; 2010.

        • Evans A.E.
        • Springer A.E.
        • Evans M.H.
        • Ranjit N.
        • Hoelscher D.M.
        A descriptive study of beverage consumption among an ethnically diverse sample of public school students in Texas.
        J Am Coll Nutr. 2010; 29: 387-396
        • Wang L.
        Healthy Eating and Active Living of Adults and Young Children in Arizona.
        St Luke’s Health Initiative, Phoenix, AZ2011
        • Ayala G.X.
        • Baquero B.
        • Klinger S.
        A systematic review of the relationship between acculturation and diet among Latinos in the United States: Implications for future research.
        J Am Diet Assoc. 2008; 108: 1330-1344
        • Dickens E.
        • Ogden J.
        The role of parental control and modelling in predicting a child’s diet and relationship with food after they leave home. A prospective study.
        Appetite. 2014; 76: 23-29
        • West F.
        • Sanders M.R.
        • Cleghorn G.J.
        • Davies P.S.
        Randomised clinical trial of a family-based lifestyle intervention for childhood obesity involving parents as the exclusive agents of change.
        Behav Res Ther. 2010; 48: 1170-1179
        • Birch L.
        • Savage J.S.
        • Ventura A.
        Influences on the development of children's eating behaviours: From infancy to adolescence.
        Can J Diet Pract Res. 2007; 68: s1-s56
        • Sharkey J.R.
        • Johnson C.M.
        • Dean W.R.
        Less-healthy eating behaviors have a greater association with a high level of sugar-sweetened beverage consumption among rural adults than among urban adults.
        Food Nutr Res. 2011; 55
        • Kit B.K.
        • Fakhouri T.H.
        • Park S.
        • Nielsen S.J.
        • Ogden C.L.
        Trends in sugar-sweetened beverage consumption among youth and adults in the United States: 1999-2010.
        Am J Clin Nutr. 2013; 98: 180-188
      3. Rudd Center for Food Policy and Obesity. Food advertising targeted to Hispanic and Black youth: Contributing to health disparities, 2015. http://www.uconnruddcenter.org/files/Pdfs/272-7%20%20Rudd_Targeted%20Marketing%20Report_Release_081115%5B1%5D.pdf. Accessed January 4, 2017.

        • Bennett C.-A.
        • de Silva-Sanigorski A.M.
        • Nichols M.
        • Bell A.C.
        • Swinburn B.A.
        Assessing the intake of obesity-related foods and beverages in young children: Comparison of a simple population survey with 24 hr-recall.
        Int J Behav Nutr Phys Act. 2009; 6: 71
        • Lamb M.M.
        • Ross C.A.
        • Brady H.L.
        • Norris J.M.
        Comparison of children's diets as reported by the child via the Youth/Adolescent Questionnaire and the parent via the Willett food-frequency questionnaire.
        Public Health Nutr. 2007; 10: 663-670
        • Murakami K.
        • Livingstone M.B.E.
        Prevalence and characteristics of misreporting of energy intake in US children and adolescents: National Health and Nutrition Examination Survey (NHANES) 2003-2012.
        Br J Nutr. 2016; 115: 294-304
        • Börnhorst C.
        • Huybrechts I.
        • Ahrens W.
        • et al.
        Prevalence and determinants of misreporting among European children in proxy-reported 24 h dietary recalls.
        Br J Nutr. 2013; 109: 1257-1265

      Biography

      N. Tasevska is an assistant professor, School of Nutrition and Health Promotion, Arizona State University, Phoenix.

      Biography

      C. Lorts is a PhD candidate, School of Nutrition and Health Promotion, Arizona State University, Phoenix.

      Biography

      P. Ohri-Vachaspati is a professor, School of Nutrition and Health Promotion, Arizona State University, Phoenix.

      Biography

      D. DeLia is a research professor, Rutgers Center for State Health Policy, New Brunswick, NJ.

      Biography

      M. Yedidia is a professor, Rutgers Center for State Health Policy, New Brunswick, NJ.