Investigating preschool-aged chronotype and social jetlag as predictors of early adolescent diet and BMI z-score: an eight-year follow-up from the DAGIS study

Allcock DM, Gardner MJ, Sowers JR. Relation between childhood obesity and adult cardiovascular risk. Int J Pediatr Endocrinol. 2009; https://doi.org/10.1155/2009/108187

Simmonds M, Llewellyn A, Owen CG, Woolacott N. Predicting adult obesity from childhood obesity: a systematic review and meta-analysis. Obes Rev. 2016;17:95–107. https://doi.org/10.1111/obr.12334

Article  CAS  PubMed  Google Scholar 

NCD Risk Factor Collaboration (NCD-RisC). 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;390:2627–42. https://doi.org/10.1016/S0140-6736(17)32129-3

Article  Google Scholar 

Di Cesare M, Sorić M, Bovet P, Miranda JJ, Bhutta Z, Stevens GA, et al. The epidemiological burden of obesity in childhood: a worldwide epidemic requiring urgent action. BMC Med. 2019; https://doi.org/10.1186/s12916-019-1449-8

Itani O, Jike M, Watanabe N, Kaneita Y. Short sleep duration and health outcomes: a systematic review, meta-analysis, and meta-regression. Sleep Med. 2017; https://doi.org/10.1016/j.sleep.2016.08.006

Gale EL, James Williams A, Cecil JE. The relationship between multiple sleep dimensions and obesity in adolescents: a systematic review. Sleep Med Rev. 2024; https://doi.org/10.1016/j.smrv.2023.101875

Roenneberg T, Allebrandt KV, Merrow M, Vetter C. Social jetlag and obesity [published correction appears in Curr Biol. 2013 Apr 22;23:737]. Curr Biol. 2012;22:939–43. https://doi.org/10.1016/j.cub.2012.03.038

Article  CAS  PubMed  Google Scholar 

Arab A, Karimi E, Garaulet M, Scheer FAJL. Social jetlag and obesity: a systematic review and meta-analysis. Obes Rev. 2024; https://doi.org/10.1111/obr.13664

Morales-Ghinaglia N, He F, Calhoun SL, Vgontzas AN, Liao J, Liao D, et al. Circadian misalignment impacts the association of visceral adiposity with metabolic syndrome in adolescents. Sleep. 2024; https://doi.org/10.1093/sleep/zsad262

Merikanto I, Lahti T, Puolijoki H, Vanhala M, Peltonen M, Laatikainen T, et al. Associations of chronotype and sleep with cardiovascular diseases and type 2 diabetes. Chronobiol Int. 2013;30:470–7. https://doi.org/10.3109/07420528.2012.741171

Article  PubMed  Google Scholar 

Knutson KL, von Schantz M. Associations between chronotype, morbidity and mortality in the UK biobank cohort. Chronobiol Int. 2018;35:1045–53. https://doi.org/10.1080/07420528.2018.1454458

Article  PubMed  PubMed Central  Google Scholar 

Yu JH, Yun CH, Ahn JH, Suh S, Cho HJ, Lee SK, et al. Evening chronotype is associated with metabolic disorders and body composition in middle-aged adults. J Clin Endocrinol Metab. 2015;100:1494–502. https://doi.org/10.1210/jc.2014-3754

Article  CAS  PubMed  Google Scholar 

Makarem N, Paul J, Giardina EV, Liao M, Aggarwal B. Evening chronotype is associated with poor cardiovascular health and adverse health behaviors in a diverse population of women. Chronobiol Int. 2020;37:673–85. https://doi.org/10.1080/07420528.2020.1732403

Article  PubMed  PubMed Central  Google Scholar 

Lotti S, Pagliai G, Colombini B, Sofi F, Dinu M. Chronotype differences in energy intake, cardiometabolic risk parameters, cancer, and depression: a systematic review with meta-analysis of observational studies. Adv Nutr. 2022;13:269–81. https://doi.org/10.1093/advances/nmab115

Article  CAS  PubMed  Google Scholar 

Baldanzi G, Hammar U, Fall T, Lindberg E, Lind L, Elmståhl S, et al. Evening chronotype is associated with elevated biomarkers of cardiometabolic risk in the EpiHealth cohort: a cross-sectional study. Sleep. 2022; https://doi.org/10.1093/sleep/zsab226

Scheer FA, Hilton MF, Mantzoros CS, Shea SA. Adverse metabolic and cardiovascular consequences of circadian misalignment. Proc Natl Acad Sci USA. 2009;106:4453–8. https://doi.org/10.1073/pnas.0808180106

Article  PubMed  PubMed Central  Google Scholar 

Leproult R, Holmbäck U, Van Cauter E. Circadian misalignment augments markers of insulin resistance and inflammation, independently of sleep loss. Diabetes. 2014;63:1860–9. https://doi.org/10.2337/db13-1546

Article  CAS  PubMed  PubMed Central  Google Scholar 

Beebe DW, Simon S, Summer S, Hemmer S, Strotman D, Dolan LM. Dietary intake following experimentally restricted sleep in adolescents. Sleep. 2013;36:827–34. https://doi.org/10.5665/sleep.2704

Article  PubMed  PubMed Central  Google Scholar 

Roßbach S, Diederichs T, Nöthlings U, Buyken AE, Alexy U. Relevance of chronotype for eating patterns in adolescents. Chronobiol Int. 2018;35:336–47. https://doi.org/10.1080/07420528.2017.1406493

Article  PubMed  Google Scholar 

Malone SK, Zemel B, Compher C, Souders M, Chittams J, Thompson AL, et al. Social jet lag, chronotype and body mass index in 14–17-year-old adolescents. Chronobiol Int. 2016;33:1255–66. https://doi.org/10.1080/07420528.2016.1196697

Article  PubMed  PubMed Central  Google Scholar 

Cetiner O, Yildirim G, Kalyoncu ZB. Social jetlag is associated with the frequency of consumption of sugar-sweetened beverages and a high BMI percentile in adolescents: results of the cross-sectional family life, activity, sun, health, and eating (FLASHE) study. J Acad Nutr Diet. 2021; https://doi.org/10.1016/j.jand.2021.01.017

Yang Y, Li SX, Zhang Y, Wang F, Jiang DJ, Wang S, et al. Chronotype is associated with eating behaviors, physical activity and overweight in school-aged children. Nutr J. 2023; https://doi.org/10.1186/s12937-023-00875-4

Roenneberg T, Kuehnle T, Pramstaller PP, Ricken J, Havel M, Guth A, et al. A marker for the end of adolescence. Curr Biol. 2004; https://doi.org/10.1016/j.cub.2004.11.039

Simpkin CT, Jenni OG, Carskadon MA, Wright KP, Akacem LD, Garlo KG, et al. Chronotype is associated with the timing of the circadian clock and sleep in toddlers. J Sleep Res. 2014;23:397–405. https://doi.org/10.1111/jsr.12142

Article  PubMed  PubMed Central  Google Scholar 

Carskadon MA. Sleep in adolescents: the perfect storm. Pediatr Clin North Am. 2011;58:637–47. https://doi.org/10.1016/j.pcl.2011.03.003

Article  PubMed  PubMed Central  Google Scholar 

Boatswain-Jacques AF, Dusablon C, Cimon-Paquet C, YuTong Guo É, Ménard R, Matte-Gagné Me C, et al. From early birds to night owls: a longitudinal study of actigraphy-assessed sleep trajectories during the transition from pre- to early adolescence. Sleep. 2023; https://doi.org/10.1093/sleep/zsad127

Koskenvuo M, Hublin C, Partinen M, Heikkilä K, Kaprio J. Heritability of diurnal type: a nationwide study of 8753 adult twin pairs. J Sleep Res. 2007;16:156–62. https://doi.org/10.1111/j.1365-2869.2007.00580.x

Article  PubMed  Google Scholar 

Merikanto I, Lahti J, Kuula L, Heinonen K, Räikkönen K, Andersson S, et al. Circadian preference and sleep timing from childhood to adolescence in relation to genetic variants from a genome-wide association study. Sleep Med. 2018;50:36–41. https://doi.org/10.1016/j.sleep.2018.04.015

Article  PubMed  Google Scholar 

Doi Y, Ishihara K, Uchiyama M. Sleep/wake patterns and circadian typology in preschool children based on standardized parental self-reports. Chronobiol Int. 2014;31:328–36. https://doi.org/10.3109/07420528.2013.852103

Article  PubMed  Google Scholar 

Zimmermann LK. The influence of chronotype in the daily lives of young children. Chronobiol Int. 2016;33:268–79. https://doi.org/10.3109/07420528.2016.1138120

Article  PubMed  Google Scholar 

Jafar NK, Tham EK, Eng DZ, Goh DY, Teoh OH, Lee YS, et al. The association between chronotype and sleep problems in preschool children. Sleep Med. 2017;30:240–4. https://doi.org/10.1016/j.sleep.2016.11.015

Article  PubMed  Google Scholar 

Abdollahi AM, Li X, Merikanto IM, Vepsäläinen H, Lehto R, Rahkola J, et al. A tendency towards evening chronotype associates with less healthy diet among preschoolers: cross-sectional findings from the DAGIS study. Sleep Adv. 2024: https://doi.org/10.1093/sleepadvances/zpae026

Petrov ME, Vander Wyst KB, Whisner CM, Jeong M, Denniston M, Moramarco MW, et al. Relationship of sleep duration and regularity with dietary intake among preschool-aged children with obesity from low-income families. J Dev Behav Pediatr. 2017;38:120–8. https://doi.org/10.1097/DBP.0000000000000369

Article  PubMed  PubMed Central  Google Scholar 

Jansen EC, Peterson KE, Lumeng JC, Kaciroti N, LeBourgeois MK, Chen K, et al. Associations between sleep and dietary patterns among low-income children attending preschool. J Acad Nutr Diet. 2019;119:1176–87. https://doi.org/10.1016/j.jand.2019.01.008

Article  PubMed  PubMed Central  Google Scholar 

Kawai M. Disruption of the circadian rhythms and its relationship with pediatric obesity. Pediatr Int. 2022; https://doi.org/10.1111/ped.14992

Abdollahi AM, Li X, Merikanto I, Leppänen MH, Vepsäläinen H, Lehto R, et al. Comparison of actigraphy-measured and parent-reported sleep in association with weight status among preschool children. J Sleep Res. 2023; https://doi.org/10.1111/jsr.13960

Lehto E, Ray C, Vepsäläinen H, Korkalo L, Lehto R, Kaukonen R, et al. Increased health and wellbeing in preschools (DAGIS) study-differences in children’s energy balance-related behaviors (EBRBs) and in long-term stress by parental educational level. Int J Environ Res Public Health. 2018; https://doi.org/10.3390/ijerph15102313

Saari A, Sankilampi U, Hannila ML, Kiviniemi V, Kesseli K, Dunkel L. New Finnish growth references for children and adolescents aged 0 to 20 years: Length/height-for-age, weight-forlength/height, and body mass index-for-age. Ann Med. 2011;43:235–48. https://doi.org/10.3109/07853890.2010.515603

Article  PubMed  Google Scholar 

Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes. 2012;7:284–94. https://doi.org/10.1111/j.2047-6310.2012.00064.x

Article  CAS  PubMed  Google Scholar 

Li X, Zhang Y, Jiang F, Zhao H. A novel machine learning unsupervised algorithm for sleep/wake identification using actigraphy. Chronobiol Int. 2020;37:1002–15. https://doi.org/10.1080/07420528.2020.1754848

Article 

留言 (0)

沒有登入
gif