Is adherence to the 24-hour movement guidelines associated with a reduced risk of adiposity among children and adolescents?

. 2020 Jul 16 ; 20 (1) : 1119. [epub] 20200716

Jazyk angličtina Země Velká Británie, Anglie Médium electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid32677940

Grantová podpora
18-09188S Grantová Agentura České Republiky
IGA_FTK_2018_001 Univerzita Palackého v Olomouci

Odkazy

PubMed 32677940
PubMed Central PMC7364474
DOI 10.1186/s12889-020-09213-3
PII: 10.1186/s12889-020-09213-3
Knihovny.cz E-zdroje

BACKGROUND: Little is known about the combined effect of physical activity (PA), recreational screen time (ST), and sleep in preventing childhood obesity. Hence, this study aimed to analyze the associations between meeting the PA, ST, and sleep recommendations within the 24-hour movement guidelines and adiposity indicators among children and adolescents. METHODS: A total of 679 children and adolescents aged 8-18 years were included. The time spent in moderate-to-vigorous PA and the sleep duration were estimated from raw data from a wrist-worn accelerometer. Recreational ST was reported by the child or parent. Body mass index (BMI) z-score, fat mass percentage (FM%), and visceral adipose tissue (VAT) were used as adiposity indicators. Participants with ≥ 60 min/day of moderate-to-vigorous PA, < 2 h/day of recreational ST, and uninterrupted sleep for 9-11 h/day (for children) or 8-10 h/day (for adolescents) were considered to meet the overall 24-hour movement guidelines. RESULTS: Meeting the ST only recommendation was associated with reduced odds of a high BMI z-score (odds ratio [OR] = 0.38, 95% confidence interval [CI]: 0.17-0.89), excess FM% (OR = 0.34, 95% CI: 0.13-0.93), and excess VAT (OR = 0.27, 95% CI: 0.10-0.74) in adolescents. Significantly reduced odds of a high BMI z-score was associated with meeting the combination of the ST and sleep recommendations (OR = 0.11, 95% CI: 0.01-0.89). Adolescents who met one recommendation (OR = 0.51, 95% CI: 0.27-0.96) or any two recommendations (OR = 0.33, 95% CI: 0.11-0.94) had reduced ORs of having a high BMI z-score. Adolescents had lower odds of having excess VAT if they met one recommendation (OR = 0.39, 95% CI: 0.19-0.81) or any two recommendations (OR = 0.25, 95% CI: 0.07-0.90). No significant associations were found in children. CONCLUSIONS: The present study showed no associations between meeting all three recommendations within the 24-hour movement guidelines and adiposity indicators. However, meeting ST only recommendation and the combination of the ST and sleep recommendations was associated with a reduced risk of excess adiposity. This finding should be considered when designing effective strategies and interventions to prevent childhood obesity.

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Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the global burden of disease study 2013. Lancet. 2014;384(9945):766–781. PubMed PMC

NCD Risk Factor Collaboration. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet. 2017 Dec 16;390(10113):2627–42. PubMed PMC

The NS. Suchindran C, North KE, Popkin BM, Gordon-Larsen P. Association of adolescent obesity with risk of severe obesity in adulthood. JAMA. 2010;304(18):2042–2047. PubMed PMC

Singh AS, Mulder C, Twisk JWR, Van Mechelen W, Chinapaw MJM. Tracking of childhood overweight into adulthood: a systematic review of the literature. Obes Rev. 2008;9(5):474–488. PubMed

Flegal KM, Graubard BI, Williamson DF, Gail MH. Cause-specific excess deaths associated with underweight, overweight, and obesity. JAMA. 2007;298(17):2028–2037. PubMed

Jensen MD. Health consequences of fat distribution. Hormones. 1997;48(Suppl. 5):88–92. PubMed

OECD . The heavy burden of obesity: the economics of prevention. Paris: OECD Publishing; 2019.

Tremmel M, Gerdtham U-G, Nilsson PM, Saha S. Economic burden of obesity: a systematic literature review. Int J Environ Res Public Health. 2017;14(4):435. PubMed PMC

Beets MW, Brazendale K, Weaver RG, Armstrong B. Rethinking behavioral approaches to compliment biological advances to understand the etiology, prevention, and treatment of childhood obesity. Child Obes. 2019;15(6):353–358. PubMed

Brown T, Moore THM, Hooper L, Gao Y, Zayegh A, Ijaz S, et al. Interventions for preventing obesity in children. Cochrane Database Syst Rev. 2019;7:1–640. PubMed PMC

Chaput J-P, Carson V, Gray CE, Tremblay MS. Importance of all movement behaviors in a 24 hour period for overall health. Int J Env Res Public Heal. 2014;11(12):12575–12581. PubMed PMC

Tremblay MS, LeBlanc AG, Kho ME, Saunders TJ, Larouche R, Colley RC, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act. 2011;8(1):98. PubMed PMC

Cappuccio FP, Taggart FM, Kandala N-B, Currie A, Peile E, Stranges S, et al. Meta-analysis of short sleep duration and obesity in children and adults. Sleep. 2008;31(5):619–626. PubMed PMC

Tremblay MS, Carson V, Chaput J-P, Connor Gorber S, Dinh T, Duggan M, et al. Canadian 24-Hour Movement Guidelines for Children and Youth: An integration of physical activity, sedentary behaviour, and sleep. Appl Physiol Nutr Metab. 2016 Jun 1;41(6 (Suppl. 3)):S311–27. PubMed

Tremblay MS, Chaput J-P, Adamo KB, Aubert S, Barnes JD, Choquette L, et al. Canadian 24-hour movement guidelines for the early years (0–4 years): an integration of physical activity, sedentary behaviour, and sleep. BMC Public Health. 2017;17(5):874. PubMed PMC

WHO. Guidelines on physical activity, sedentary behaviour and sleep for children under 5 years of age. Geneva: World Health Organization; 2019. 22 p. PubMed

Ministry of Health . Sit less, move more, sleep well active play guidelines for under-fives. Wellington: Ministry of Health; 2017.

Australian Government Department of Health . Australian 24-hour movement guidelines for children and young people (5–17 years) – an integration of physical activity, sedentary behaviour and sleep. Canberra: Department of Health; 2018.

Australian Government Department of Health . Australian 24-hour movement guidelines for the early years (birth to 5 years): an integration of physical activity, sedentary behaviour, and sleep. Canberra: Department of Health; 2017. PubMed PMC

Draper CE, Tomaz SA, Biersteker L, Cook CJ, Couper J, de Milander M, et al. The south African 24-hour movement guidelines for birth to 5 years: an integration of physical activity, sitting behavior, screen time, and sleep. J Phys Act Heal [Internet] 2020;17(1):109–119. Available from: https://journals.humankinetics.com/view/journals/jpah/17/1/article-p109.xml. PubMed

Katzmarzyk PT, Staiano AE. Relationship between Meeting 24-Hour Movement Guidelines and cardiometabolic risk factors in children. J Phys Act Health. 2017/09/13. 2017 Oct 1;14(10):779–84. PubMed PMC

Roman-Viñas B, Chaput J-P, Katzmarzyk PT, Fogelholm M, Lambert EV, Maher C, et al. Proportion of children meeting recommendations for 24-hour movement guidelines and associations with adiposity in a 12-country study. Int J Behav Nutr Phys Act. 2016;13(1):123. PubMed PMC

Torres-Lopez L V, Cadenas-Sanchez C, Migueles JH, Adelantado-Renau M, Plaza-Florido A, Solis-Urra P, et al. Associations of sedentary behaviour, physical activity, cardiorespiratory fitness and body composition with risk of sleep-related breathing disorders in children with overweight/obesity: A cross-sectional study. J Clin Med 2020;9(1544). PubMed PMC

McLellan G, Arthur R, Donnelly S, Buchan DS. Segmented sedentary time and physical activity patterns throughout the week from wrist-worn ActiGraph GT3X+ accelerometers among children 7–12 years old. J Sport Heal Sci. 2020;9(2):179–188. PubMed PMC

Fairclough SJ, Taylor S, Rowlands AV, Boddy LM, Noonan RJ. Average acceleration and intensity gradient of primary school children and associations with indicators of health and well-being. J Sports Sci. 2019;37(18):2159–2167. PubMed

Brazendale K, Beets MW, Weaver RG, Perry MW, Tyler EB, Hunt ET, et al. Comparing measures of free-living sleep in school-aged children. Sleep Med. 2019;60:197–201. PubMed

Adelantado-Renau M, Beltran-Valls MR, Migueles JH, Artero EG, Legaz-Arrese A, Capdevila-Seder A, et al. Associations between objectively measured and self-reported sleep with academic and cognitive performance in adolescents: DADOS study. J Sleep Res. 2019;28(4):e12811. PubMed

Crouter SE, Flynn JI, Bassett DR., Jr Estimating physical activity in youth using a wrist accelerometer. Med Sci Sports Exerc. 2015;47(5):944–951. PubMed PMC

Sadeh A, Acebo C. The role of actigraphy in sleep medicine. Sleep Med Rev. 2002;6(2):113–124. PubMed

Ryan N, Borg D, Fowler P, Osborne J, Stewart I, Pavey T, et al. Inter-device reliability of a wrist actigraph device in classifying sleep characteristics. J Sci Med Sport. 2019;22:S106.

Migueles JH, Rowlands AV, Huber F, Sabia S, van Hees VT. GGIR: a research community–driven open source R package for generating physical activity and sleep outcomes from multi-day raw accelerometer data. J Meas Phys Behav. 2019;2(3):188–196.

Hildebrand M, van Hees VT. Hansen BHe, Ekelund U. age group comparability of raw accelerometer output from wrist- and hip-worn monitors. Med Sci Sport Exerc. 2014;46(9):1816–1824. PubMed

van Hees VT, Sabia S, Anderson KN, Denton SJ, Oliver J, Catt M, et al. A novel, open access method to assess sleep duration using a wrist-worn accelerometer. PLoS One. 2015;10(11):e0142533. PubMed PMC

Ricardo LIC, Wendt A, Galliano LM, de Andrade MW, Niño Cruz GI, Wehrmeister F, et al. Number of days required to estimate physical activity constructs objectively measured in different age groups: findings from three Brazilian (Pelotas) population-based birth cohorts. PLoS One. 2020;15(1):e0216017. PubMed PMC

Currie C, Nic Gabhainn S, Godeau E. Committee the IHNC. The health behaviour in school-aged children: WHO collaborative cross-national (HBSC) study: origins, concept, history and development 1982–2008. Int J Public Health. 2009;54(2):131–139. PubMed

Schmitz KH, Harnack L, Fulton JE, Jacobs DR, Jr, Gao S, Lytle LA, et al. Reliability and validity of a brief questionnaire to assess television viewing and computer use by middle school children. J Sch Health. 2004;74(9):370–377. PubMed

Lim JS, Hwang JS, Lee JA, Kim DH, Park KD, Jeong JS, et al. Cross-calibration of multi-frequency bioelectrical impedance analysis with eight-point tactile electrodes and dual-energy X-ray absorptiometry for assessment of body composition in healthy children aged 6–18 years. Pediatr Int. 2009;51(2):263–268. PubMed

Carson V, Chaput J-P, Janssen I, Tremblay MS. Health associations with meeting new 24-hour movement guidelines for Canadian children and youth. Prev Med (Baltim) 2017;95:7–13. PubMed

Laurson KR, Lee JA, Eisenmann JC. The cumulative impact of physical activity, sleep duration, and television time on adolescent obesity: 2011 youth risk behavior survey. J Phys Act Health. 2015;12(3):355–360. PubMed

Gába A, Pedišić Ž, Štefelová N, Dygrýn J, Hron K, Dumuid D, et al. Sedentary behavior patterns and adiposity in children: a study based on compositional data analysis. BMC Pediatr. 2020;20(1):147. PubMed PMC

Pedišić Ž, Dumuid D, Olds TS. Integrating sleep, sedentary behaviour, and physical activity research in the emerging field of time-use epidemiology: definitions, concepts, statistical methods, theoretical framework, and future directions. Kinesiology. 2017;49(2).

Lin Y, Tremblay MS, Katzmarzyk PT, Fogelholm M, Hu G, Lambert E V, et al. Temporal and bi-directional associations between sleep duration and physical activity/sedentary time in children: An international comparison. Prev Med (Baltim). 2018;111:436–41. PubMed PMC

Rhodes RE, Stearns J, Berry T, Faulkner G, Latimer-Cheung AE, O’Reilly N, et al. Predicting parental support and parental perceptions of child and youth movement behaviors. Psychol Sport Exerc. 2019;41:80–90.

Tashjian SM, Mullins JL, Galván A. Bedtime autonomy and cellphone use influence sleep duration in adolescents. J Adolesc Health. 2019;64(1):124–130. PubMed

Pearson N, Griffiths P, Biddle SJH, Johnston JP, McGeorge S, Haycraft E. Clustering and correlates of screen-time and eating behaviours among young adolescents. BMC Public Health. 2017;17(1):533. PubMed PMC

Christensen CG, Bickham D, Ross CS, Rich M. Multitasking with television among adolescents. J Broadcast Electron Media. 2015;59(1):130–148. PubMed PMC

Katapally TR, Chu LM. Methodology to derive objective screen-state from smartphones: a SMART platform study. Int J Environ Res Public Health. 2019;16(13):2275. PubMed PMC

Park KS, Lee D-H, Lee J, Kim YJ, Jung KY, Kim KM, et al. Comparison between two methods of bioelectrical impedance analyses for accuracy in measuring abdominal visceral fat area. J Diabetes Complicat. 2016;30(2):343–349. PubMed

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