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Self-regulation and household routines at age three and obesity at age eleven: longitudinal analysis of the UK Millennium Cohort Study

International Journal of Obesity volume 41, pages 1459–1466 (2017)Cite this article

Subjects

Abstract

Objective:

To examine, in a population-based cohort of 3-year-old children, the association between self-regulation and exposure to the household routines of regular bedtime, regular mealtime and limits on watching television/video, and to determine whether self-regulation and these routines predict the risk of obesity at age 11.

Methods:

Analyses included 10 955 children in the nationally representative UK Millennium Cohort Study. When children were age 3, parents reported whether children had a regular bedtime and mealtime, and the amount of television/video watched. Emotional and cognitive self-regulation at age 3 were assessed by parent-report with the Child Social Behaviour Questionnaire. Children’s height and weight were measured at age 11 and obesity was defined using the International Obesity Task Force (IOTF) criteria.

Results:

At age 3, 41% of children always had a regular bedtime, 47% always had a regular mealtime and 23% were limited to ⩽1 h television/video daily. At age 11, 6.2% of children were obese. All three household routines were significantly associated with better emotional self-regulation, but not better cognitive self-regulation. In a multi-variable logistic regression model, including emotional and cognitive self-regulation, all routines and controlling for sociodemographic covariates, a 1-unit difference in emotional self-regulation at age 3 was associated with an OR (95% CI) for obesity of 1.38 (1.11, 1.71) at age 11, and inconsistent bedtimes with an OR (95% CI) for obesity of 1.87 (1.39, 2.51) at age 11. There was no evidence that emotional self-regulation mediated the relationship between regular bedtimes and later obesity. Cognitive self-regulation was not associated with later obesity.

Conclusions:

Three-year-old children who had regular bedtimes, mealtimes and limits on their television/video time had better emotional self-regulation. Lack of a regular bedtime and poorer emotional self-regulation at age 3 were independent predictors of obesity at age 11.

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References

  1. Spagnola M, Fiese BH . Family routines and rituals: a context for development in the lives of young children. Infants Young Child 2007; 20: 284–299.

    Article  Google Scholar 

  2. Fiese BH, Rhodes HG, Beardslee WR . Rapid changes in American family life: consequences for child health and pediatric practice. Pediatrics 2013; 132: 552–559.

    Article  Google Scholar 

  3. American Academy of Pediatrics Council on Communications and Media. Media use by children younger than 2 years. Pediatrics 2011; 128: 1040–1045.

    Article  Google Scholar 

  4. Anderson SE, Whitaker RC . Household routines and obesity in US preschool-aged children. Pediatrics 2010; 125: 420–428.

    Article  Google Scholar 

  5. Fiese BH, Bost KK . Family ecologies and child risk for obesity: focus on regulatory processes. Fam Relat 2016; 65: 94–107.

    Article  Google Scholar 

  6. Fulkerson JA, Larson N, Horning M, Neumark-Sztainer D . A review of associations between family or shared meal frequency and dietary and weight status outcomes across the lifespan. J Nutr Educ Beha 2014; 46: 2–19.

    Article  Google Scholar 

  7. Anderson SE, Andridge R, Whitaker RC . Bedtime in preschool-aged children and risk for adolescent obesity. J Pediatr 2016; 176: 17–22.

    Article  Google Scholar 

  8. Aftosmes-Tobio A, Ganter C, Gicevic S, Newlan S, Simon CL, Davison KK et al. A systematic review of media parenting in the context of childhood obesity research. BMC Public Health 2016; 16: 1.

    Article  Google Scholar 

  9. Kelly Y, Patalay P, Montgomery S, Sacker A . BMI development and early adolescent psychosocial well-being: UK Millennium Cohort Study. Pediatrics 2016; 138: e20160967.

    Article  Google Scholar 

  10. Kopp CB . Antecedents of self-regulation: a developmental perspective. Dev. Psychol 1982; 18: 199–214.

    Article  Google Scholar 

  11. Francis LA, Susman EJ . Self-regulation and rapid weight gain in children from age 3 to 12 years. Arch Pediat Adol Med 2009; 163: 297–302.

    Article  Google Scholar 

  12. Seeyave DM, Coleman S, Appugliese D, Corwyn RF, Bradley RH, Davidson NS et al. Ability to delay gratification at age 4 years and risk of overweight at age 11 years. Arch Pediat Adol Med 2009; 163: 303–308.

    Article  Google Scholar 

  13. Graziano PA, Kelleher R, Calkins SD, Keane SP, Brien MO . Predicting weight outcomes in preadolescence: The role of toddlers' self-regulation skills and the temperament dimension of pleasure. Int J Obes 2013; 37: 937–942.

    Article  CAS  Google Scholar 

  14. Schlam TR, Wilson NL, Shoda Y, Mischel W, Ayduk O . Preschoolers' delay of gratification predicts their body mass 30 years later. J Pediatr 2013; 162: 90–93.

    Article  Google Scholar 

  15. Blair C, Ursache A . A bidirectional model of executive functions and self-regulation. In: Vohs KD, Baumeister RF (eds) Handbook of Self-Regulation: Research, Theory, and Applications 2nd edn. The Guilford Press: New York, NY, USA, 2011. pp 300–320.

    Google Scholar 

  16. Metcalfe J, Mischel W . A hot/cool-system analysis of delay of gratification: Dynamics of willpower. Psychol Rev 1999; 106: 3–19.

    Article  CAS  Google Scholar 

  17. Macht M . How emotions affect eating: a five-way model. Appetite 2008; 50: 1–11.

    Article  Google Scholar 

  18. Schwartz MW, Woods SC, Porte D, Seeley RJ, Baskin DG . Central nervous system control of food intake. Nature 2000; 404: 661–671.

    Article  CAS  Google Scholar 

  19. O’Reilly RC . The what and how of prefrontal cortical organization. Trends Neurosci 2010; 33: 355–361.

    Article  Google Scholar 

  20. Banfield JF, Wyland CL, Macrae CN, Munte TF, Heatherton TF . The cognitive neuroscience of self-regulation. In: Vohs KD, Baumeister RF (eds). Handbook of Self-Regulation: Research, Theory, and Applications. The Guilford Press: New York, NY, USA, 2004. pp 62–83.

    Google Scholar 

  21. Anderson SE, Keim SA . Parent-child interaction, self-regulation and obesity prevention in early childhood. Curr Obes Rep 2016; 5: 192–200.

    Article  Google Scholar 

  22. Miller AL, Rosenblum KL, Retzloff LB, Lumeng JC . Observed self-regulation is associated with weight in low-income toddlers. Appetite 2016; 105: 705–712.

    Article  Google Scholar 

  23. Hughes SO, Power TG, O'Connor TM, Fisher JO . Executive functioning, emotion regulation, eating self-regulation, and weight status in low-income preschool children: How do they relate? Appetite 2015; 89: 1–9.

    Article  Google Scholar 

  24. Plewis I . The Millennium Cohort Study: Technical Report on Sampling, 4th edition. Centre for Longitudinal Studies, Institute of Education, University of London: London, UK, 2007.

    Google Scholar 

  25. Hansen K (ed). Millennium Cohort Study: A guide to the datasets (eighth edition) – first, second, third, fourth and fifth surveys. Centre for Longitudinal Studies, Institute of Education, University of London: London, UK, 2014.

    Google Scholar 

  26. University of London, Institute of Education Centre for Longitudinal Studies, Millennium Cohort Study: Second survey, 2003–2005 [computer file]. 8th edn. Essex: Colchester, UK, 2012.

  27. University of London, Institute of Education Centre for Longitudinal Studies, Millennium Cohort Study: Fifth survey, 2012 [computer file]. 2nd edn. Essex: Colchester, UK, 2015.

  28. Londra M, Calderwood L, Millennium Cohort Team Millennium Cohort Study second survey: CAPI questionnaire documentation. Centre for Longitudinal Studies, Institute of Education, University of London: London, UK, 2006.

    Google Scholar 

  29. Rosenberg R . MCS2: Guide to derived variables. Institute of Education, University of London: London, UK, 2012.

    Google Scholar 

  30. Kneale D, Patalay P, Khatwa M, Stansfield C, Fitzsimmons E, Thomas J . Piloting and producing a map of Millennium Cohort Study data usage: Where are data underutilised and where is granularity lost?. EPPI-Centre, Social Science Research Unit, UCL Institute of Education: University College London, London, UK, 2016.

    Google Scholar 

  31. Hogan AE, Scott KG, Bauer CR . The Adaptive Social-Behavior Inventory (ASBI): A new assessment of social competence in high-risk 3-year-olds. J Psychoeduc Assess 1992; 10: 230–239.

    Article  Google Scholar 

  32. Cronbach LJ . Coefficient alpha and the internal structure of tests. Psychometrika 1951; 16: 297–334.

    Article  Google Scholar 

  33. Gallop K, Rose N, Wallace E, R W, Cleary A, Thompson A et al. Millennium Cohort Study fifth sweep (MCS5) Technical Report: Ipsos MORI, London, 2013.

  34. Cole TJ, Lobstein T . Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes 2012; 7: 284–294.

    Article  CAS  Google Scholar 

  35. Pan Y, Caudill SP, Li R, Caldwell KL . Median and quantile tests under complex survey design using SAS and R. Comput Methods Programs Biomed 2014; 117: 292–297.

    Article  Google Scholar 

  36. Graziano PA, Calkins SD, Keane SP . Toddler self-regulation skills predict risk for pediatric obesity. Int J Obes 2010; 34: 633–641.

    Article  CAS  Google Scholar 

  37. Liang J, Matheson BE, Kaye WH, Boutelle KN . Neurocognitive correlates of obesity and obesity-related behaviors in children and adolescents. Int J Obes 2014; 38: 494–506.

    Article  CAS  Google Scholar 

  38. Tangney JP, Baumeister RF, Boone AL . High self‐control predicts good adjustment, less pathology, better grades, and interpersonal success. J Pers 2004; 72: 271–324.

    Article  Google Scholar 

  39. Moffitt TE, Arseneault L, Belsky D, Dickson N, Hancox RJ, Harrington H et al. A gradient of childhood self-control predicts health, wealth, and public safety. Proc Natl Acad Sci USA 2011; 108: 2693–2698.

    Article  CAS  Google Scholar 

  40. Thompson RA . Emotion regulation: A theme in search of definition. Monogr Soc Res Child 1994; 59: 25–52.

    Article  CAS  Google Scholar 

  41. Taveras EM, Gillman MW, Pena MM, Redline S, Rifas-Shiman SL . Chronic sleep curtailment and adiposity. Pediatrics 2014; 133: 1013–1022.

    Article  Google Scholar 

  42. Fatima Y, Doi SA, Mamun AA . Longitudinal impact of sleep on overweight and obesity in children and adolescents: A systematic review and bias-adjusted meta-analysis. Obes Rev 2015; 16: 137–149.

    Article  CAS  Google Scholar 

  43. Miller AL, Lumeng JC, LeBourgeois MK . Sleep patterns and obesity in childhood. Curr Opin Endocrinol Diabetes Obes 2015; 22: 41–47.

    Article  Google Scholar 

  44. Mindell JA, Li AM, Sadeh A, Kwon R, Goh DY . Bedtime routines for young children: A dose-dependent association with sleep outcomes. Sleep 2015; 38: 717–722.

    Article  Google Scholar 

  45. Vandewater EA, Bickham DS, Lee JH . Time well spent? Relating television use to children's free-time activities. Pediatrics 2006; 117: e181–e191.

    Article  Google Scholar 

  46. Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP . Common method biases in behavioral research: A critical review of the literature and recommended remedies. J Appl Psychol 2003; 88: 879–903.

    Article  Google Scholar 

  47. Zimmermann MB, Gubeli C, Puntener C, Molinari L . Detection of overweight and obesity in a national sample of 6-12-y-old Swiss children: Accuracy and validity of reference values for body mass index from the US Centers for Disease Control and Prevention and the International Obesity Task Force. Am J Clin Nutr 2004; 79: 838–843.

    Article  CAS  Google Scholar 

  48. Hale L, Berger LM, LeBourgeois MK, Brooks-Gunn J . Social and demographic predictors of preschoolers' bedtime routines. J Dev Behav Pediatr 2009; 30: 394–402.

    Article  Google Scholar 

  49. Klebanov PK, Brooks-Gunn J, Duncan GJ . Does neighborhood and family poverty affect mothers' parenting, mental health, and social support? J Marriage Fam 1994; 56: 441–455.

    Article  Google Scholar 

  50. Calkins SD, Leerkes EM, Early attachment processes and the development of emotional self-regulation. In: Vohs KD, Baumeister RF (eds) Handbook of Self-Regulation: Research, Theory, and Applications, 2nd edn. The Guilford Press: New York, NY, USA, 2011. pp 355–373.

    Google Scholar 

  51. Sroufe LA . Attachment and development: A prospective, longitudinal study from birth to adulthood. Attach Hum Dev. 2005; 7: 349–367.

    Article  Google Scholar 

  52. Anderson SE, Gooze RA, Lemeshow S, Whitaker RC . Quality of early maternal-child relationship and risk of adolescent obesity. Pediatrics 2012; 129: 132–140.

    Article  Google Scholar 

  53. Anderson SE, Lemeshow S, Whitaker RC . Maternal-infant relationship quality and risk of obesity at age 5.5 years in a national US cohort. BMC Pediatr 2014; 14: 54.

    Article  Google Scholar 

  54. Anderson SE, Whitaker RC . Attachment security and obesity in US preschool-aged children. Arch Pediat Adol Med 2011; 165: 235–242.

    Article  Google Scholar 

  55. Coulthard JD, Pot GK . The timing of the evening meal: How is this associated with weight status in UK children? Brit J Nutr 2016; 115: 1616–1622.

    Article  CAS  Google Scholar 

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Acknowledgements

We thank the MCS families for their time and participation. We are also grateful to the MCS team at the Centre for Longitudinal Studies, UCL Institute of Education for the use of these data and to the UK Data Archive and the UK Data Service for making them available. However, they bear no responsibility for the analysis or interpretation of these data. These analyses were supported in part by grant R21DK104188 from the National Institutes of Health. Amanda Sacker and Yvonne Kelly were supported by the UK Economic and Social Research Council (grant ES/J019119/1). The MCS is funded by UK Economic and Social Research Council grants to Professor Heather Joshi (previous study director). The funders had no role in the interpretation of these data or in the writing of this article.

Author contributions

SEA conceptualized and designed the analyses, conducted the analyses and drafted the initial manuscript; AS and YK contributed to the conceptualization of the study, the design and interpretation of analyses, and reviewed and revised the manuscript; RCW conceptualized the research, contributed to the interpretation of findings, and reviewed and revised the manuscript; all authors approved the final version of the article.

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Authors and Affiliations

  1. Division of Epidemiology, The Ohio State University College of Public Health, Columbus, OH, USA

    S E Anderson

  2. Department of Epidemiology and Public Health, University College London, London, UK

    A Sacker & Y Kelly

  3. International Centre for Lifecourse Studies in Society and Health, University College London, London, UK

    A Sacker & Y Kelly

  4. Department of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, PA, USA

    R C Whitaker

  5. Department of Pediatrics, School of Medicine, Temple University, Philadelphia, PA, USA

    R C Whitaker

  6. Center for Obesity Research and Education, College of Public Health, Temple University, Philadelphia, PA, USA,

    R C Whitaker

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Correspondence to S E Anderson.

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Anderson, S., Sacker, A., Whitaker, R. et al. Self-regulation and household routines at age three and obesity at age eleven: longitudinal analysis of the UK Millennium Cohort Study. Int J Obes 41, 1459–1466 (2017). https://doi.org/10.1038/ijo.2017.94

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