Startseite Associations between body mass index and sleep duration in Brazilian children and adolescents: the moderating role of screen time
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Associations between body mass index and sleep duration in Brazilian children and adolescents: the moderating role of screen time

  • Leticia Borfe ORCID logo , Ana P. Sehn ORCID logo , Cézane Priscila Reuter ORCID logo , Jorge Mota , Ryan Donald Burns , Caroline Brand ORCID logo EMAIL logo und Anelise R. Gaya ORCID logo
Veröffentlicht/Copyright: 14. Februar 2025

Abstract

Objectives

To verify the moderating role of screen time in the relationship between body mass index (BMI) and sleep duration in children and adolescents.

Methods

This cross-sectional study involved 1,338 children and adolescents (aged 6–17 years old; 761 girls) recruited from a municipality in south Brazil. Body weight and height were assessed to calculate BMI. Information regarding screen time, sleep duration, age, sex, sexual maturation, housing area, and socioeconomic status was obtained through a self-reported questionnaire. Moderation was tested using multiple linear regression modelling through an SPSS program extension. All models were adjusted for sex, age, sexual maturation, housing area, and socioeconomic status.

Results

No association was found between BMI and sleep duration (β=0.830; 95 % CI=−0.943; 2.603). However, when the role of screen time was considered, it was observed that this variable significantly moderated the relationship between BMI and sleep duration (β=−0.006; 95 % CI=−0.011; −0.001). Specifically, children and adolescents who spent more than 360 min per day in front of the screens presented higher BMI and shorter sleep durations.

Conclusions

The more time children and adolescents spend in front of screens, the higher the likelihood it will negatively affect their BMI and sleep duration. These findings emphasize the need for interventions that promote healthy screen habits and encourage behaviors that support optimal sleep duration to mitigate the potential negative effects on body weight and overall health.


Corresponding Author: Caroline Brand, PhD in Movement Human Sciences, IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, 1290 El Bosque Av, Sausalito, Valparaiso, Chile, E-mail:

Acknowledgments

The authors thank the collaboration of the schools, the research group of the Health Research Laboratory (LAPES), as well as all the support of the University of Santa Cruz do Sul – UNISC and Higher Education Personnel Improvement Coordination – Brazil (CAPES) – Financing Code 001.

  1. Research ethics: The present study was approved by the Ethics Committee of the University of Santa Cruz do Sul (UNISC) (number 1.498.305) and followed the resolution 466/2012 of the National Council of Health in Brazil.

  2. Informed consent: The informed consent form for participation in this study was provided by the legal guardian of the participants.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission. LB, APS, and CPR participated in data organization and study design. LB, APS, and CB performed the statistical analysis and drafted the manuscript. CPR and ARG contributed to the review of the analysis and the writing of the manuscript. JM and RDB contributed critical comments to the study. LB, APS, CPR, JM, RDB, CB and ARG read and approved the final manuscript.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul.

  7. Data availability: The raw data can be obtained on request from the corresponding author.

References

1. Guthold, R, Stevens, GA, Riley, LM, Bull, FC. Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants. Lancet Child Adolesc Health 2020;4:23–35. https://doi.org/10.1016/s2352-4642(19)30323-2.Suche in Google Scholar

2. Sehn, AP, Brand, C, Silveira, JFde C, Marshall, R, Renner, JDP, Reuter, CP. Integrated role of lifestyle habits in cardiometabolic risk factors according to sex in adolescents. Ann Hum Biol [Internet] 2022;49:18–26. Available from: https://doi.org/10.1080/03014460.2022.2049873.Suche in Google Scholar PubMed

3. Kaur, H, Bhoday, HS. Changing adolescent sleep patterns: factors affecting them and the related problems. J Assoc Phys India 2017;65:73–7.Suche in Google Scholar

4. Sehn, AP, Silveira, JF de C, Brand, C, Lemes, VB, Borfe, L, Tornquist, L, et al.. Screen time, sleep duration, leisure physical activity, obesity, and cardiometabolic risk in children and adolescents: a cross-lagged 2-year study. BMC Cardiovasc Disord 2024;24:525. https://doi.org/10.1186/s12872-024-04089-2.Suche in Google Scholar PubMed PubMed Central

5. Li, L, Zhang, S, Huang, Y, Chen, K. Sleep duration and obesity in children: a systematic review and meta-analysis of prospective cohort studies. J Paediatr Child Health 2017;53:378–85. https://doi.org/10.1111/jpc.13434.Suche in Google Scholar PubMed

6. Ai, S, Zhang, J, Zhao, G, Wang, N, Li, G, So, HC, et al.. Causal associations of short and long sleep durations with 12 cardiovascular diseases: linear and nonlinear Mendelian randomization analyses in UK Biobank. Eur Heart J 2021;42:3349–57. https://doi.org/10.1093/eurheartj/ehab170.Suche in Google Scholar PubMed

7. Scott, AJ, Webb, TL, Martyn-St James, M, Rowse, G, Weich, S. Improving sleep quality leads to better mental health: a meta-analysis of randomised controlled trials. Sleep Med Rev 2021;60:101556. https://doi.org/10.1016/j.smrv.2021.101556.Suche in Google Scholar PubMed PubMed Central

8. St-Onge, MP. Sleep-obesity relation: underlying mechanisms and consequences for treatment. Obes Rev 2017;18:34–9. https://doi.org/10.1111/obr.12499.Suche in Google Scholar PubMed

9. Gong, QH, Li, SX, Li, H, Cui, J, Xu, GZ. Insufficient sleep duration and overweight/obesity among adolescents in a Chinese population. Int J Environ Res Publ Health 2018;15:997. https://doi.org/10.3390/ijerph15050997.Suche in Google Scholar PubMed PubMed Central

10. Morales Camacho, WJ, Molina Díaz, JM, Plata Ortiz, S, Plata Ortiz, JE, Morales Camacho, MA, Calderón, BP. Childhood obesity: aetiology, comorbidities, and treatment. Diabetes Metab Res Rev 2019;35. https://doi.org/10.1002/dmrr.3203.Suche in Google Scholar PubMed

11. Mazurak, N, Cook, J, Weiland, A, Ritze, Y, Urschitz, M, Junne, F, et al.. Impact of childhood obesity and psychological factors on sleep. Front Psychiatr 2021;12:657322. https://doi.org/10.3389/fpsyt.2021.657322.Suche in Google Scholar PubMed PubMed Central

12. Wu, Y, Amirfakhraei, A, Ebrahimzadeh, F, Jahangiry, L, Abbasalizad-Farhangi, M. Screen time and body mass index among children and adolescents: a systematic review and meta-analysis. Front Pediatr 2022;10. https://doi.org/10.3389/fped.2022.822108.Suche in Google Scholar PubMed PubMed Central

13. Wong, CKH, Wong, RS, Cheung, JPY, Tung, KTS, Yam, JCS, Rich, M, et al.. Impact of sleep duration, physical activity, and screen time on health-related quality of life in children and adolescents. Health Qual Life Outcome 2021;19. https://doi.org/10.1186/s12955-021-01776-y.Suche in Google Scholar PubMed PubMed Central

14. Messaadi, N, Bayen, S, Beghin, L, Lefebvre, JM, Colleau, S, Deken, V, et al.. Associations entre les temps d’écran et les habitudes de sommeil chez des jeunes collégiens. Rev Epidemiol Sante Publique 2020;68:179–84. https://doi.org/10.1016/j.respe.2020.05.001.Suche in Google Scholar PubMed

15. Souza Neto, JM de, Costa, FF da, Barbosa, AO, Prazeres Filho, A, Santos, EVOD, Farias Júnior, JC de. Physical activity, screen time, nutritional status and sleep in adolescents in northeast Brazil. Revista Paulista de Pediatria 2021;39:e2019138. https://doi.org/10.1590/1984-0462/2021/39/2019138.Suche in Google Scholar PubMed PubMed Central

16. Zhou, M, Lalani, C, Banda, JA, Robinson, TN. Sleep duration, timing, variability and measures of adiposity among 8- to 12-year-old children with obesity. Obes Sci Pract 2018;4:535–44. https://doi.org/10.1002/osp4.303.Suche in Google Scholar PubMed PubMed Central

17. Roberge, JB, Van Hulst, A, Barnett, TA, Drapeau, V, Benedetti, A, Tremblay, A, et al.. Lifestyle habits, dietary factors, and the metabolically unhealthy obese phenotype in youth. J Pediatr 2019;204:46–52.e1. https://doi.org/10.1016/j.jpeds.2018.08.063.Suche in Google Scholar PubMed

18. AAP. American Academy of Pediatrics. Children, adolescents, and television. Pediatrics 2001;107:423–6. https://doi.org/10.1542/peds.107.2.423.Suche in Google Scholar PubMed

19. Burns, RD, Sehn, AP, Brand, C, Silveira, JFDC, Reuter, CP. Moderating influence of home location and school type across time on cardiometabolic risk and active school commuting: a five-year longitudinal study. Child Obes 2023;19:258–66. https://doi.org/10.1089/chi.2021.0299.Suche in Google Scholar PubMed

20. Brand, C, Sehn, AP, Fochesatto, CF, Villa-González, E, Gaya, AR, Renner, JDP, et al.. Fitness and fatness in children and adolescents: investigating their role in the association between physical activity and cardiometabolic health. Biol Sport 2023:147–54. https://doi.org/10.5114/biolsport.2024.129473.Suche in Google Scholar PubMed PubMed Central

21. Lemes, VB, Sehn, AP, Reuter, CP, Burns, RD, Gaya, AR, Gaya, ACA, et al.. Associations of sleep time, quality of life, and obesity indicators on physical literacy components: a structural equation model. BMC Pediatr 2024;24. https://doi.org/10.1186/s12887-024-04609-1.Suche in Google Scholar PubMed PubMed Central

22. Tanner, JM. Growth at adolescence, 2nd ed. Springfield, Ill: Thomas; 1962.Suche in Google Scholar

23. Messaadi, N, Bayen, S, Beghin, L, Lefebvre, JM, Colleau, S, Deken, V, et al.. Associations entre les temps d’écran et les habitudes de sommeil chez des jeunes collégiens. Rev Epidemiol Sante Publique 2020;68:179–84. https://doi.org/10.1016/j.respe.2020.05.001.Suche in Google Scholar PubMed

24. Liu, M, Cao, B, Luo, Q, Wang, Q, Liu, M, Liang, X, et al.. Associations between sleep duration, wake-up time, bedtime, and abdominal obesity: results from 9559 Chinese children aged 7–18 years. Front Endocrinol 2021;12:1330. https://doi.org/10.3389/fendo.2021.735952.Suche in Google Scholar PubMed PubMed Central

25. Schroeder, K, Kubik, MY, Sirard, JR, Lee, J, Fulkerson, JA. Sleep is inversely associated with sedentary time among youth with obesity. Am J Health Behav 2020;44:756–64. https://doi.org/10.5993/ajhb.44.6.2.Suche in Google Scholar PubMed PubMed Central

26. Bar-On, ME, Broughton, DD, Buttross, S, Corrigan, S, Gedissman, A, González De Rivas, MR, et al.. American academy of pediatrics: children, adolescents, and television. Pediatrics 2001;107:423–6. https://doi.org/10.1542/peds.107.2.423.Suche in Google Scholar PubMed

27. Chauhan, S. A meta-analysis of the impact of technology on learning effectiveness of elementary students. Comput Educ 2017;105:14–30. https://doi.org/10.1016/j.compedu.2016.11.005.Suche in Google Scholar

28. Ramírez-Granizo, IA, Ubago-Jiménez, JL, González-Valero, G, Puertas-Molero, P, Román-Mata, SS. The effect of physical activity and the use of active video games: exergames in children and adolescents: a systematic review. Int J Environ Res Public Health. MDPI AG 2020;17:1–10. https://doi.org/10.3390/ijerph17124243.Suche in Google Scholar PubMed PubMed Central

29. Golshevsky, DM, Magnussen, C, Juonala, M, Kao, K, Harcourt, BE, Sabin, MA. Time spent watching television impacts on body mass index in youth with obesity, but only in those with shortest sleep duration. J Paediatr Child Health 2020;56:721–6. https://doi.org/10.1111/jpc.14711.Suche in Google Scholar PubMed

30. Hale, L, Guan, S. Screen time and sleep among school-aged children and adolescents: a systematic literature review. Sleep Med Rev 2015;21:50–8. https://doi.org/10.1016/j.smrv.2014.07.007.Suche in Google Scholar PubMed PubMed Central

31. Chen, YL, Tolfrey, K, Pearson, N, Bingham, DD, Edwardson, C, Cale, L, et al.. Stand out in class: investigating the potential impact of a sit–stand desk intervention on children’s sitting and physical activity during class time and after school. Int J Environ Res Publ Health 2021;18. https://doi.org/10.3390/ijerph18094759.Suche in Google Scholar PubMed PubMed Central

32. Xu, J. Factors affecting adolescents’ screen viewing duration: a social cognitive approach based on the family life, activity, sun, health and eating (FLASHE) Survey. J Health Commun 2021;26:19–27. https://doi.org/10.1080/10810730.2021.1887979.Suche in Google Scholar PubMed

33. Andrade, S, Verloigne, M, Cardon, G, Kolsteren, P, Ochoa-Avilés, A, Verstraeten, R, et al.. School-based intervention on healthy behaviour among ecuadorian adolescents: effect of a cluster-randomized controlled trial on screen-time health behavior, health promotion and society. BMC Publ Health 2015;15. https://doi.org/10.1186/s12889-015-2274-4.Suche in Google Scholar PubMed PubMed Central

34. Nigg, C, Niessner, C, Nigg, CR, Oriwol, D, Schmidt, SCE, Woll, A. Relating outdoor play to sedentary behavior and physical activity in youth – results from a cohort study. BMC Publ Health 2021;21. https://doi.org/10.1186/s12889-021-11754-0.Suche in Google Scholar PubMed PubMed Central

35. Exelmans, L, Van den Bulck, J. Technology and sleep: how electronic media exposure has impacted core concepts of sleep medicine. Behav Sleep Med 2015;13:439–41. https://doi.org/10.1080/15402002.2015.1083025.Suche in Google Scholar PubMed

36. Rhodes, RE, Guerrero, MD, Vanderloo, LM, Barbeau, K, Birken, CS, Chaput, JP, et al.. Development of a consensus statement on the role of the family in the physical activity, sedentary and sleep behaviors of children and youth. Int J Behav Nutr Phys Activ 2020;17:1–31.10.1186/s12966-020-00973-0Suche in Google Scholar PubMed PubMed Central

37. Valerio, G, Maffeis, C, Saggese, G, Ambruzzi, MA, Balsamo, A, Bellone, S, et al.. Diagnosis, treatment and prevention of pediatric obesity: consensus position statement of the Italian society for pediatric endocrinology and diabetology and the Italian society of pediatrics. Ital J Pediatr 2018;44:1–21. https://doi.org/10.1186/s13052-018-0525-6.Suche in Google Scholar PubMed PubMed Central

38. Brautsch, LAS, Lund, L, Andersen, MM, Jennum, PJ, Folker, AP, Andersen, S. Digital media use and sleep in late adolescence and young adulthood: a systematic review. Sleep Med Rev 2023;68:101742. https://doi.org/10.1016/j.smrv.2022.101742.Suche in Google Scholar PubMed

39. Hale, L, Guan, S. Screen time and sleep among school-aged children and adolescents: a systematic literature review. Sleep Med Rev. W.B. Saunders Ltd 2015;21:50–8. https://doi.org/10.1016/j.smrv.2014.07.007.Suche in Google Scholar PubMed PubMed Central

40. Albqoor, MA, Shaheen, AM. Sleep quality, sleep latency, and sleep duration: a national comparative study of university students in Jordan. Sleep Breath 2021;25:1147–54. https://doi.org/10.1007/s11325-020-02188-w.Suche in Google Scholar PubMed

41. Cajochen, C, Frey, S, Anders, D, Späti, J, Bues, M, Pross, A, et al.. Evening exposure to a light-emitting diodes (LED)-backlit computer screen affects circadian physiology and cognitive performance. J Appl Physiol 2011;110:1432–8. https://doi.org/10.1152/japplphysiol.00165.2011.Suche in Google Scholar PubMed

42. Robinson, TN, Banda, JA, Hale, L, Lu, AS, Fleming-Milici, F, Calvert, SL, et al.. Screen media exposure and obesity in children and adolescents. Pediatrics 2017;140:S97–101. https://doi.org/10.1542/peds.2016-1758k.Suche in Google Scholar

43. Alqarni, TA, Alshamrani, MA, Alzahrani, AS, Alrefaie, AM, Balkhair, OH, Alsaegh, SZ. Prevalence of screen time use and its relationship with obesity, sleep quality, and parental knowledge of related guidelines: a study on children and adolescents attending primary healthcare centers in the Makkah Region. J Family Commun Med 2022;29:24. https://doi.org/10.4103/jfcm.jfcm_335_21.Suche in Google Scholar PubMed PubMed Central

44. Cameron, JD, Maras, D, Sigal, RJ, Kenny, GP, Borghese, MM, Chaput, JP, et al.. The mediating role of energy intake on the relationship between screen time behaviour and body mass index in adolescents with obesity: the HEARTY study. Appetite 2016;107:437–44. https://doi.org/10.1016/j.appet.2016.08.101.Suche in Google Scholar PubMed

45. Cha, EM, Hoelscher, DM, Ranjit, N, Chen, B, Gabriel, KP, Kelder, S, et al.. Effect of media use on adolescent body weight. Prev Chronic Dis 2018;15. https://doi.org/10.5888/pcd15.180206.Suche in Google Scholar PubMed PubMed Central

46. Meltzer, LJ, Wong, P, Biggs, SN, Traylor, J, Kim, JY, Bhattacharjee, R, et al.. Validation of actigraphy in middle childhood. Sleep 2016;39:1219–24. https://doi.org/10.5665/sleep.5836.Suche in Google Scholar PubMed PubMed Central

47. Kanda, K, Hirao, T, Ngatu, NR, Murakami, A, Yamadori, Y, Yokoyama, K, et al.. A comparison of sleep duration accuracy between questionnaire and accelerometer in middle childhood. Cureus 2023;15:e47236. https://doi.org/10.7759/cureus.47236.Suche in Google Scholar PubMed PubMed Central


Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/jpem-2024-0302).


Received: 2024-07-09
Accepted: 2025-01-16
Published Online: 2025-02-14
Published in Print: 2025-04-28

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Original Articles
  3. Diabetes distress, depression, and future glycemic control among adolescents with type 1 diabetes
  4. Is oxytocin related to psychiatric symptoms in adolescents with obesity?
  5. Associations between body mass index and sleep duration in Brazilian children and adolescents: the moderating role of screen time
  6. The transfer of care experience in young adults with type 1 diabetes
  7. Assessing the efficacy of a hybrid closed loop system in a racial-ethnic minority cohort of children and adolescents with type 1 diabetes
  8. Do children with type 1 diabetes mellitus remain protected against hepatitis B?
  9. Influence of excess weight on metabolic risk factors in Argentinian preschool children
  10. Causal associations between childhood obesity and delayed puberty or height: a bidirectional two-sample Mendelian randomization study
  11. Differentiating true precocious puberty and puberty variants in consecutive 275 girls: a single center experience
  12. Development of bone mineral density and content in children with cerebral palsy: a retrospective, longitudinal study
  13. Insights in non-CAH pediatric primary adrenal insufficiency: a single-center experience from India
  14. Effect of empagliflozin treatment on laboratory and clinical findings of patients with glycogen storage disease type Ib: first study from Türkiye
  15. Clinical and laboratory characteristics of propionic acidemia in a Turkish cohort
  16. Short Communication
  17. The impact of the COVID-19 pandemic on DKA severity in Black and White pediatric patients
  18. Case Reports
  19. Evinacumab as an adjunct to lipid apheresis in an infant with homozygous familial hypercholesterolemia
  20. DNA ligase IV deficiency identified in a patient with hypergonadotropic hypogonadism: a case report
  21. Moebius syndrome and hypopituitarism: a case of multiple pituitary hormone deficiency and revision of the literature
Heruntergeladen am 8.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/jpem-2024-0302/pdf
Button zum nach oben scrollen