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Soft drinks consumption and child behaviour problems: the role of food insecurity and sleep patterns

  • Christian King (a1)
Abstract Objective

To examine whether the association between soft drinks consumption and child behaviour problems differs by food security status and sleep patterns in young children.


Cross-sectional observational data from the Fragile Families and Child Wellbeing Study (FFCWS), which collected information on food insecurity, soft drinks consumption, sleep patterns and child behaviour problems. Bivariate and multivariate ordinary least-squares regression analyses predicting child behaviour problems and accounting for socio-economic factors and household characteristics were performed.


Twenty urban cities in the USA with a population of 200 000 or more.


Parental interviews of 2829 children who were about 5 years old.


Soft drinks consumption was associated with aggressive behaviours, withdrawn and attention problems for children aged 5 years. However, the association differed by food security status. The association was mostly statistically insignificant among food-secure children after accounting for socio-economic and demographic characteristics. On the other hand, soft drinks consumption was associated with behaviour problems for food-insecure children even after accounting for these factors. However, after accounting for child sleep patterns, the association between soft drinks consumption and child behaviour problems became statistically insignificant for food-insecure children.


The negative association between soft drinks consumption and child behaviour problems could be explained by sleep problems for food-insecure children. Since about 21 % of households with children are food insecure, targeted efforts to reduce food insecurity would help improve dietary (reduce soft drinks consumption) and health behaviours (improve sleep) and reduce child behaviour problems.

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2. YC Wang , SN Bleich & SL Gortmaker (2008) Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988–2004. Pediatrics 121, e1604e1614.

3. BK Kit , TH Fakhouri , S Park et al. (2013) Trends in sugar-sweetened beverage consumption among youth and adults in the United States: 1999–2010. Am J Clin Nutr 98, 180188.

4. TT Fung , V Malik , KM Rexrode et al. (2009) Sweetened beverage consumption and risk of coronary heart disease in women. Am J Clin Nutr 89, 10371042.

5. LR Vartanian , MB Schwartz & KD Brownell (2007) Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis. Am J Public Health 97, 667675.

6. LR DeChristopher , J Uribarri & KL Tucker (2016) Intakes of apple juice, fruit drinks and soda are associated with prevalent asthma in US children aged 2–9 years. Public Health Nutr 19, 123130.

7. L Lien , N Lien , S Heyerdahl et al. (2006) Consumption of soft drinks and hyperactivity, mental distress, and conduct problems among adolescents in Oslo, Norway. Am J Public Health 96, 18151820.

8. SF Suglia , S Solnick & D Hemenway (2013) Soft drinks consumption is associated with behavior problems in 5-year-olds. J Pediatr 163, 13231328.

9. M Haapalahti , H Mykkänen , S Tikkanen et al. (2003) Meal patterns and food use in 10- to 11-year-old Finnish children. Public Health Nutr 6, 365370.

10. E Han & LM Powell (2013) Consumption patterns of sugar-sweetened beverages in the United States. J Acad Nutr Diet 113, 4353.

12. CA Vereecken , J Inchley , SV Subramanian et al. (2005) The relative influence of individual and contextual socio-economic status on consumption of fruit and soft drinks among adolescents in Europe. Eur J Public Health 15, 224232.

14. J Huang , KMM Oshima & Y Kim (2010) Does food insecurity affect parental characteristics and child behavior? Testing mediation effects. Soc Serv Rev 84, 381401.

15. KS Slack & J Yoo (2005) Food hardship and child behavior problems among low income children. Soc Serv Rev 79, 511536.

16. LL Howard (2011) Does food insecurity at home affect non-cognitive performance at school? A longitudinal analysis of elementary student classroom behavior. Econ Educ Rev 30, 157176.

17. J Liu , A Raine , PH Venables et al. (2004) Malnutrition at age 3 years and externalizng behavior problems at ages 8, 11, and 17 years. Am J Psychiatry 161, 20052013.

18. J Benton (2008) The influence of children’s diet on their cognition and behavior. Eur J Nutr 47, 2537.

22. T Cunningham , D Barradas , K Rosenberg et al. (2012) Is maternal food security a predictor of food and drink intake among toddlers in Oregon? Matern Child Health J 16, 339346.

23. BR Garnett , KD Rosenberg & DS Morris (2013) Consumption of soda and other sugar-sweetened beverages by 2-year-olds: findings from a population-based survey. Public Health Nutr 16, 17601767.

24. R Pabayo , JC Spence , N Cutumisu et al. (2012) Sociodemographic, behavioural and environmental correlates of sweetened beverage consumption among pre-school children. Public Health Nutr 15, 13381346.

25. NI Larson , MT Story & MC Nelson (2009) Neighborhood environments: disparities in access to healthy foods in the US. Am J Prev Med 36, 7481.e10.

26. JV Lavigne , R Arend , D Rosenbaum et al. (1999) Sleep and behavior problems among preschoolers. J Dev Behav Pediatr 20, 164169.

27. A Sadeh , R Gruber & A Raviv (2002) Sleep, neurobehavioral functioning, and behavior problems in school‐age children. Child Dev 73, 405417.

28. MA Stein , J Mendelsohn & WH Obermeyer (2001) Sleep and behavior problems in school-aged children. Pediatrics 107, e60.

29. KS Collison , MZ Zaidi , SN Subhani et al. (2010) Sugar-sweetened carbonated beverage consumption correlates with BMI, waist circumference, and poor dietary choices in school children. BMC Public Health 10, 1.

30. S Park , B Sherry , K Foti et al. (2012) Self-reported academic grades and other correlates of sugar-sweetened soda intake among US adolescents. J Acad Nutr Diet 112, 125131.

31. WJ Warzak , S Evans , MT Floress et al. (2011) Caffeine consumption in young children. J Pediatr 158, 508509.

32. CP Pollak & D Bright (2003) Caffeine consumption and weekly sleep patterns in US seventh-, eighth-, and ninth-graders. Pediatrics 111, 4246.

33. T Roehrs & T Roth (2008) Caffeine: sleep and daytime sleepiness. Sleep Med Rev 12, 153162.

34. JL Temple (2009) Caffeine use in children: what we know, what we have left to learn, and why we should worry. Neurosci Biobehav Rev 33, 793806.

35. M St-Onge , A Roberts , A Shechter et al. (2016) Fiber and saturated fat are associated with sleep arousals and slow wave sleep. J Clin Sleep Med 12, 1924.

36. M Ding , MK Keiley & KB Garza (2015) Food insecurity is associated with poor sleep outcomes among US adults. J Nutr 145, 615621.

37. NE Reichman , JO Teitler , I Garfinkel et al. (2001) Fragile families: sample and design. Child Youth Serv Rev 23, 303326.

38. A Geller , I Garfinkel & B Western (2011) Paternal incarceration and support for children in fragile families. Demography 48, 2547.

39. RS Högnäs & MJ Carlson (2010) Intergenerational relationships and union stability in fragile families. J Marriage Fam 72, 12201233.

43. H Corman , K Noonan & NE Reichman (2014) Effects of infant health on family food insecurity: evidence from two US birth cohort studies. Soc Sci Med 123, 1825.

44. R Cox & S Wallace (2016) Identifying the link between food security and incarceration. South Econ J 82, 10621077.

45. RT Kimbro & JT Denney (2015) Transitions into food insecurity associated with behavioral problems and worse overall health among children. Health Aff (Millwood) 34, 19491955.

47. K Turney (2015) Paternal incarceration and children’s food insecurity: a consideration of variation and mechanisms. Soc Serv Rev 89, 335367.

48. RC Kessler , G Andrews , D Mroczek et al. (1998) The World Health Organization composite international diagnostic interview short-form (CIDI-SF). Int J Methods Psychiatr Res 7, 171185.

49. PT Von Hippel (2007) Regression with missing Ys: an improved strategy for analyzing multiply imputed data. Sociol Methodol 37, 83117.

53. P Monsivais & A Drewnowski (2009) Lower-energy-density diets are associated with higher monetary costs per kilocalorie and are consumed by women of higher socioeconomic status. J Am Diet Assoc 109, 814822.

54. P Monsivais , J McLain & A Drewnowski (2010) The rising disparity in the price of healthful foods: 2004–2008. Food Policy 35, 514520.

55. P Monsivais & A Drewnowski (2007) The rising cost of low-energy-density foods. J Am Diet Assoc 107, 20712076.

57. CW Leung , ES Epel , WC Willett et al. (2015) Household food insecurity is positively associated with depression among low-income supplemental nutrition assistance program participants and income-eligible nonparticipants. J Nutr 145, 622627.

58. H Seligman , A Bindman , E Vittinghoff et al. (2007) Food insecurity is associated with diabetes mellitus: results from the National Health Examination and Nutrition Examination Survey (NHANES) 1999–2002. J Gen Intern Med 22, 10181023.

59. HK Seligman , BA Laraia & MB Kushel (2010) Food insecurity is associated with chronic disease among low-income NHANES participants. J Nutr 140, 304310.

61. E Finkelstein , C Zhen , J Nonnemaker et al. (2010) Impact of targeted beverage taxes on higher- and lower-income households. Arch Intern Med 170, 20282034.

62. L Matricciani , T Olds & J Petkov (2012) In search of lost sleep: secular trends in the sleep time of school-aged children and adolescents. Sleep Med Rev 16, 203211.

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Public Health Nutrition
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