Skip to main content
Log in

Cognitive Disengagement Syndrome But Not ADHD Symptoms Increases Risk for Child Body Mass Index: Examination in a Sample of Clinically Referred Youth

  • Research
  • Published:
Child Psychiatry & Human Development Aims and scope Submit manuscript

Abstract

Given the substantial increase in pediatric obesity rates in recent decades, its long-term stability, and its pervasive negative outcomes, continuous efforts to identify factors that may place children at increased risk for overweight or obesity (OW/OB) are essential. As such, the primary aim of the present investigation was to examine the extent to which symptoms of Cognitive Disengagement Syndrome (CDS; i.e., Sluggish Cognitive Tempo) relates to child body mass index (BMI) independent of Attention-Deficit/Hyperactivity Disorder (ADHD). The study is the first to examine whether CDS subdomains of slowed thinking, hypoarousal, and daydreamy is associated with BMI. Analyses included data from 72 clinically-referred children (46 males, 26 females) aged 4–12 years old (M = 8.41, SD = 2.48). CDS and ADHD were assessed using standardized parent-report rating scales, and children’s BMI was collected at the time of encounter. Bayesian hierarchical regression models revealed no evidence that overall CDS symptoms or ADHD symptoms (overall and subdomain) predicted child BMI. However, models did provide moderate evidence that hypoarousal and daydream subdomains jointly predicted BMI independent of ADHD (BF10 = 19.28–21.87). The present study suggests that CDS is a risk factor for obesity in young children and future research is needed to inform clinical interventions and to provide further understanding of the relatively nuanced association between CDS symptoms and obesity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Data Availability

Dataset is openly available at http://bit.ly/3y1ESjw to facilitate peer review.

Notes

  1. Two children had missing data for SES.

References

  1. Becker SP, Willcutt EG, Leopold DR, Fredrick JW, Smith ZR, Jacobson LA, Burns GL, Mayes SD, Waschbusch DA, Froehlich TE, McBurnett K, Servera M, Barkley RA (2022) Report of a work group on sluggish cognitive tempo: key research directions and a consensus change in terminology to cognitive disengagement syndrome. J Am Acad Child Adolesc Psychiatry 62(6):629–645

    Article  PubMed  PubMed Central  Google Scholar 

  2. Becker SP (2021) Systematic review: assessment of sluggish cognitive tempo over the past decade. J Am Acad Child Adolesc Psychiatry 60(6):690–709

    Article  PubMed  Google Scholar 

  3. Barkley RA (2013) A plea to rename sluggish cognitive tempo (SCT) as concentration deficit disorder (CDD). ADHD Rep 21(7):1

    Article  Google Scholar 

  4. Becker SP, Leopold DR, Burns GL, Jarrett MA, Langberg JM, Marshall SA, McBurnett K, Waschbusch DA, Willcutt EG (2016) The internal, external, and diagnostic validity of sluggish cognitive tempo: a meta-analysis and critical review. J Am Acad Child Adolesc Psychiatry 55(3):163–178

    Article  PubMed  Google Scholar 

  5. Dvorsky MR, Becker SP, Tamm L, Willoughby MT (2021) Testing the longitudinal structure and change in sluggish cognitive tempo and inattentive behaviors from early through middle childhood. Assessment 28(2):380–394

    Article  PubMed  Google Scholar 

  6. Barkley RA (2013) Distinguishing sluggish cognitive tempo from ADHD in children and adolescents: executive functioning, impairment, and comorbidity. J Clin Child Adolesc Psychol 42(2):161–173

    Article  PubMed  Google Scholar 

  7. Willcutt EG, Chhabildas N, Kinnear M, DeFries JC, Olson RK, Leopold DR, Keenan JM, Pennington BF (2014) The internal and external validity of sluggish cognitive tempo and its relation with DSM–IV ADHD. J Abnorm Child Psychol 42(1):21–35

    Article  PubMed  PubMed Central  Google Scholar 

  8. Stierman B, Afful J, Carroll MD, Chen T, Davy O, Fink S, Fryar CD, Gu Q, Hales CM, Hughes JP, Ostchega Y, Storandt RJ, Akinbami LJ (2021) National Health and Nutrition Examination Survey 2017–March 2020 prepandemic data files development of files and prevalence estimates for selected health outcomes. Natl Health Stat Rep. https://doi.org/10.15620/cdc:106273

  9. GBD 2015 Risk Factors Collaborators (2016) Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet (London, England) 388:1659–1724

    Article  Google Scholar 

  10. Gray WN, Kahhan NA, Janicke DM (2009) Peer victimization and pediatric obesity: a review of the literature. Psychol Sch 46(8):720–727

    Article  Google Scholar 

  11. BeLue R, Francis LA, Colaco B (2009) Mental health problems and overweight in a nationally representative sample of adolescents: effects of race and ethnicity. Pediatrics 123(2):697–702

    Article  PubMed  Google Scholar 

  12. Pervanidou P, Bastaki D, Chouliaras G, Papanikolaou K, Laios E, Kanaka-Gantenbein C, Chrousos GP (2013) Circadian cortisol profiles, anxiety and depressive symptomatology, and body mass index in a clinical population of obese children. Stress 16(1):34–43

    Article  PubMed  Google Scholar 

  13. Global BMI Mortality Collaboration (2016) Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet 388:776–786

    Article  PubMed  Google Scholar 

  14. Fang CT, Chen VCH, Ma HT, Chao HH, Ho MC, Gossop M (2019) Attentional bias, “Cool” and “Hot” executive functions in obese patients: Roles of body mass index, binge eating, and eating style. J Clin Psychopharmacol 39(2):145–152

    Article  PubMed  Google Scholar 

  15. Washington RL (2011) Childhood obesity: issues of weight bias. Prev Chronic Dis 8(5).

  16. Cortese S (2019) The association between ADHD and obesity: intriguing, progressively more investigated, but still puzzling. Brain Sci 9(10):256

    Article  PubMed  PubMed Central  Google Scholar 

  17. Merrill BM, Morrow AS, Sarver D, Sandridge S, Lim CS (2021) Prevalence and correlates of attention-deficit hyperactivity disorder in a diverse, treatment-seeking pediatric overweight/obesity sample. J Dev Behav Pediatr 42(6):433–441

    Article  PubMed  PubMed Central  Google Scholar 

  18. Cortese S, Moreira-Maia CR, St. Fleur D, Morcillo-Peñalver C, Rohde, Faraone SV (2016) Association between ADHD and obesity: a systematic review and meta-analysis. Am J Psychiatry 173(1):34–43

    Article  PubMed  Google Scholar 

  19. Graziano PA, Calkins SD, Keane SP (2010) Toddler self-regulation skills predict risk for pediatric obesity. Int J Obes 34(4):633–641

    Article  Google Scholar 

  20. Chen Q, Hartman CA, Kuja-Halkola R, Faraone SV, Almqvist C, Larsson H (2019) Attention-deficit/hyperactivity disorder and clinically diagnosed obesity in adolescence and young adulthood: a register-based study in Sweden. Psychol Med 49(11):1841–1849

    Article  PubMed  Google Scholar 

  21. Martins-Silva T, dos Santos Vaz J, Genro JP, Hutz MH, de Mola CL, Mota NR, Oliveira I, Gigante DP, Pinheiro RT, Vitola E, Tovo-Rodrigues L (2021) Obesity and ADHD: exploring the role of body composition, BMI polygenic risk score, and reward system genes. J Psychiatr Res 136:529–536

    Article  PubMed  Google Scholar 

  22. Seymour KE, Reinblatt SP, Benson L, Carnell S (2015) Overlapping neurobehavioral circuits in ADHD, obesity, and binge eating: evidence from neuroimaging research. CNS spectr 20(4):401–411

  23. Donnchadha SÓ, Bramham J, Greene C (2023) Rethinking the association between overweight/obesity and ADHD in children: a longitudinal and psychosocial perspective. Ir J Psychol Med 40(2):152–165

    Article  PubMed  Google Scholar 

  24. Egbert AH, Wilfley DE, Eddy KT, Boutelle KN, Zucker N, Peterson CB, Doyle AC, Grange DL, Goldschmidt AB (2018) Attention-deficit/hyperactivity disorder symptoms are associated with overeating with and without loss of control in youth with overweight/obesity. Child Obes 14(1):50–57

    Article  PubMed  PubMed Central  Google Scholar 

  25. McBurnett K, Villodas M, Burns GL, Hinshaw SP, Beaulieu A, Pfiffner LJ (2014) Structure and validity of sluggish cognitive tempo using an expanded item pool in children with attention-deficit/hyperactivity disorder. J Abnorm Child Psychol 42(1):37–48

    Article  PubMed  Google Scholar 

  26. Becker SP, Langberg JM (2014) Attention-deficit/hyperactivity disorder and sluggish cognitive tempo dimensions in relation to executive functioning in adolescents with ADHD. Child Psychiatry Hum Dev 45:1–11

    Article  PubMed  Google Scholar 

  27. Kofler MJ, Irwin LN, Sarver DE, Fosco WD, Miller CE, Spiegel JA, Becker SP (2019) What cognitive processes are “sluggish” in sluggish cognitive tempo? J Consult Clin Psychol 87(11):1030

    Article  PubMed  PubMed Central  Google Scholar 

  28. Öğütlü H, Karatekin Ş, Sürücü Kara İ, McNicholas F (2023) Sluggish cognitive tempo, eating habits, and daytime sleepiness in obese adolescents. Clin Child Psychol Psychiatry 28(2):595–609

    Article  PubMed  Google Scholar 

  29. Domoff SE, Miller AL, Kaciroti N, Lumeng JC (2015) Validation of the Children’s Eating Behaviour Questionnaire in a low-income preschool-aged sample in the United States. Appetite 95:415–420

    Article  PubMed  PubMed Central  Google Scholar 

  30. Kaufman J, Birmaher B, Brent D, Rao U, Flynn C, Moreci P, Williamson D, Ryan N (1997) Schedule for affective disorders and schizophrenia for school-age children-present and lifetime version (K-SADS-PL): initial reliability and validity data. J Am Acad Child Adolesc Psychiatry 36(7):980–988

    Article  PubMed  Google Scholar 

  31. Hollingshead AB (1975) Four factor index of social status. Yale University, New Haven

    Google Scholar 

  32. Cianchetti C, Pasculli M, Pittau A, Campus MG, Carta V, Littarru R, Fancello GS, Zuddas A, Ledda MG (2017) Child and Adolescent Behavior Inventory (CABI): standardization for age 6–17 years and first clinical application. Clin Pract Epidemiol Mental Health 13:20–26

    Article  Google Scholar 

  33. Cianchetti C, Faedda N, Pasculli M, Ledda MG, Diaz G, Peschechera A, Craig F, Morelli F, Balottin U, Guidetti V, Zuddas A, Margari L (2020) Predictive validity for the clinical diagnosis of a new parent questionnaire, the CABI, compared with CBCL. Clin Child Psychol Psychiatry 25(2):507–519

    Article  PubMed  Google Scholar 

  34. Wolraich ML, Lambert EW, Bickman L, Simmons T, Doffing MA, Worley KA (2004) Assessing the impact of parent and teacher agreement on diagnosing attention-deficit hyperactivity disorder. J Dev Behav Pediatr 25(1):41–47

    Article  PubMed  Google Scholar 

  35. Kaufman AS, Kaufman NL (2004) Kaufman brief intelligence test, 2nd edn. American Guidance Service Inc., Circle Pines

    Google Scholar 

  36. Pett MA, Lackey NR, Sullivan JJ (2003) Making sense of factor analysis: the use of factor analysis for instrument development in health care research. Sage, London

    Book  Google Scholar 

  37. Rouder JN, Morey RD (2012) Default Bayes factors for model selection in regression. Multivar Behav Res 47(6):877–903

    Article  Google Scholar 

  38. Wagenmakers EJ, Love J, Marsman M, Jamil T, Ly A, Verhagen J, Selker R, Gronau QF, Dropmann D, Boutin B, Meerhoff F, Knight P, Raj A, Kesteren EV, Doorn JV, Šmíra M, Epskamp S, Etz A, Matzke D, Jong TD et al (2018) Bayesian inference for psychology. Part II: example applications with JASP. Psychonom Bull Rev 25(1):58–76

    Article  Google Scholar 

  39. Kelter R (2020) Bayesian alternatives to null hypothesis significance testing in biomedical research: a non-technical introduction to Bayesian inference with JASP. BMC Med Res Methodol 20(1):1–12

    Article  Google Scholar 

  40. Kruschke JK (2010) Bayesian data analysis. Wiley Interdiscip Rev 1(5):658–676

    Article  Google Scholar 

  41. Morey RD, Rouder JN, Jamil T, Morey MRD (2015) Package ‘bayesfactor’.

  42. Rouder JN, Morey RD, Speckman PL, Province JM (2012) Default Bayes factors for ANOVA designs. J Math Psychol 56(5):356–374

    Article  Google Scholar 

  43. JASP Team (2021) JASP (Version 0.16.1) [computer software].

  44. Nigg JT, Johnstone JM, Musser ED, Long HG, Willoughby MT, Shannon J (2016) Attention-deficit/hyperactivity disorder (ADHD) and being overweight/obesity: new data and meta-analysis. Clin Psychol Rev 43:67–79

    Article  PubMed  Google Scholar 

  45. Liguori CA, Nikolaus CJ, Nickols-Richardson SM (2020) Cognitive distraction at mealtime decreases amount consumed in healthy young adults: a randomized crossover exploratory study. J Nutr 150(5):1324–1329

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Funding

No funding was received to assist with the preparation of this manuscript.

Author information

Authors and Affiliations

Authors

Contributions

DKR: Conceptualization, formal analysis, data curation, writing—original draft preparation. DES: Conceptualization, methodology, writing—original draft preparation, supervision. DDE: Conceptualization, validation, writing—review and editing.

Corresponding author

Correspondence to Dustin E. Sarver.

Ethics declarations

Conflict of interest

We have no known conflict of interest to disclose. Always applicable and includes interests of a financial or personal nature.

Consent to Participate

Informed consent was obtained from all individual participants included in the study.

Ethical Approval

Approval was obtained from the ethics committee of University of Mississippi Medical Center. The procedures used in this study adhere to the tenets of the Declaration of Helsinki.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Roberts, D.K., Sarver, D.E. & Elder, D.D. Cognitive Disengagement Syndrome But Not ADHD Symptoms Increases Risk for Child Body Mass Index: Examination in a Sample of Clinically Referred Youth. Child Psychiatry Hum Dev (2023). https://doi.org/10.1007/s10578-023-01612-y

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10578-023-01612-y

Keywords

Navigation