يعرض 1 - 20 نتائج من 146 نتيجة بحث عن '"Moreno, Jennette P."', وقت الاستعلام: 0.70s تنقيح النتائج
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    المساهمون: National Institutes of Health, National Science Foundation

    المصدر: ACS Applied Materials & Interfaces ; volume 16, issue 35, page 46113-46122 ; ISSN 1944-8244 1944-8252

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    المساهمون: Eunice Kennedy Shriver National Institute of Child Health and Human Development, U.S. Department of Agriculture

    المصدر: Frontiers in Physiology ; volume 13 ; ISSN 1664-042X

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    المساهمون: U.S. Department of Agriculture, National Institute of Child Health and Human Development, National Science Foundation

    المصدر: Current Opinion in Systems Biology ; volume 22, page 32-38 ; ISSN 2452-3100

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    مصطلحات موضوعية: Endocrinology, Health Sciences

    وصف الملف: application/pdf

    Relation: Moreno, Jennette P.; Hannay, Kevin M.; Goetz, Amy R.; Walch, Olivia; Cheng, Philip (2023). "Validation of the Entrainment Signal Regularity Index and associations with children’s changes in BMI." Obesity 31(3): 642-651.; https://hdl.handle.net/2027.42/175957; Obesity; von Hippel PT, Nahhas RW, Czerwinski SA. How much do children’s body mass indices change over intervals of 6-12 months? Statistics from before and during the obesity epidemic. Pediatr Obes. 2015; 10: 468 - 475.; 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 - 544.; Haidar A, Sharma SV, Durand CP, et al. Cross-sectional relationship between regular bedtime and weight status and obesity-related behaviors among preschool and elementary school children: TX CORD study. Child Obes. 2021; 17: 26 - 35.; Lo K, Keung V, Cheung C, Tam W, Lee A. Associations between sleep pattern and quality and cardiovascular risk factors among Macao school students. Child Obes. 2019; 15: 387 - 396.; Anderson SE, Sacker A, Whitaker RC, Kelly Y. Self-regulation and household routines at age three and obesity at age eleven: longitudinal analysis of the UK millennium cohort study. Int J Obes (Lond). 2017; 41: 1459 - 1466.; Covington L, Armstrong B, Trude ACB, Black MM. Longitudinal associations among diet quality, physical activity and sleep onset consistency with body mass index z-score among toddlers in low-income families. Ann Behav Med. 2021; 55: 653 - 664.; Hannay KM, Forger DB, Booth V. Macroscopic models for networks of coupled biological oscillators. Sci Adv. 2018; 4: e1701047. doi:10.1126/sciadv.1701047; Moreno JP, Hannay KM, Walch O, et al. Estimating circadian phase in elementary school children: leveraging advances in physiologically informed models of circadian entrainment and wearable devices. Sleep. 2022; 45: zsac061. doi:10.1093/sleep/zsac061; Hannay KM, Booth V, Forger DB. Macroscopic models for human circadian rhythms. J Biol Rhythms. 2019; 34: 658 - 671.; Ancoli-Israel S, Martin JL, Blackwell T, et al. The SBSM guide to actigraphy monitoring: clinical and research applications. Behav Sleep Med. 2015; 13 ( suppl 1 ): S4 - S38.; Sadeh A, Sharkey KM, Carskadon MA. Activity-based sleep-wake identification: an empirical test of methodological issues. Sleep. 1994; 17: 201 - 207.; Lunsford-Avery JR, Engelhard MM, Navar AM, Kollins SH. Validation of the sleep regularity index in older adults and associations with cardiometabolic risk. Sci Rep. 2018; 8: 14158. doi:10.1038/s41598-018-32402-5; Phillips AJK, Clerx WM, O’Brien CS, et al. Irregular sleep/wake patterns are associated with poorer academic performance and delayed circadian and sleep/wake timing. Sci Rep. 2017; 7: 3216. doi:10.1038/s41598-017-03171-4; Cheng P, Walch O, Huang Y, et al. Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers. Sleep. 2021; 44: zsaa180. doi:10.1093/sleep/zsaa180; Huang Y, Mayer C, Cheng P, et al. Predicting circadian phase across populations: a comparison of mathematical models and wearable devices. Sleep. 2021; 44: zsab126. doi:10.1093/sleep/zsab126; Hannay KM, Forger DB, Booth V. Seasonality and light phase-resetting in the mammalian circadian rhythm. Sci Rep. 2020; 10: 19506. doi:10.1038/s41598-020-74002-2; Woelders T, Beersma DGM, Gordijn MCM, Hut RA, Wams EJ. Daily light exposure patterns reveal phase and period of the human circadian clock. J Biol Rhythms. 2017; 32: 274 - 286.; Tanskey LA, Goldberg JP, Chui K, Must A, Sacheck JM. Accelerated summer weight gain in a low-income, ethnically diverse sample of elementary school children in Massachusetts. Child Obes. 2019; 15: 244 - 253.; Goncalves BS, Adamowicz T, Louzada FM, Moreno CR, Araujo JF. A fresh look at the use of nonparametric analysis in actimetry. Sleep Med Rev. 2015; 20: 84 - 91.; Kantermann T, Juda M, Merrow M, Roenneberg T. The human circadian clock’s seasonal adjustment is disrupted by daylight saving time. Curr Biol. 2007; 17: 1996 - 2000.; Moreno JP, Johnston CA, Chen TA, et al. Seasonal variability in weight change during elementary school. Obesity (Silver Spring). 2015; 23: 422 - 428.; von Hippel PT, Workman J. From kindergarten through second grade, U.S. children’s obesity prevalence grows only during summer vacations. Obesity (Silver Spring). 2016; 24: 2296 - 2300.; Moreno JP, Razjouyan J, Lester H, et al. Later sleep timing predicts accelerated summer weight gain among elementary school children: a prospective observational study. Int J Behav Nutr Phys Act. 2021; 18: 94. doi:10.1186/s12966-021-01165-0; Moreno JP, Crowley SJ, Alfano CA, Hannay KM, Thompson D, Baranowski T. Potential circadian and circannual rhythm contributions to the obesity epidemic in elementary school age children. Int J Behav Nutr Phys Act. 2019; 16: 25. doi:10.1186/s12966-019-0784-7; Moreno JP, Crowley SJ, Alfano CA, Thompson D. Physiological mechanisms underlying children’s circannual growth patterns and their contributions to the obesity epidemic in elementary school age children. Obes Rev. 2020; 21: e12973. doi:10.1111/obr.12973; Duffy JF, Wright KP Jr. Entrainment of the human circadian system by light. J Biol Rhythms. 2005; 20: 326 - 338.; Czeisler CA, Duffy JF, Shanahan TL, et al. Stability, precision, and near-24-hour period of the human circadian pacemaker. Science. 1999; 284: 2177 - 2181.; McMahon WR, Ftouni S, Phillips AJK, et al. The impact of structured sleep schedules prior to an in-laboratory study: individual differences in sleep and circadian timing. PLoS One. 2020; 15: e0236566. doi:10.1371/journal.pone.0236566; Bray MS, Young ME. Circadian rhythms in the development of obesity: potential role for the circadian clock within the adipocyte. Obes Rev. 2007; 8: 169 - 181.; Hughes S, Jagannath A, Hankins MW, Foster RG, Peirson SN. Photic regulation of clock systems. Methods Enzymol. 2015; 552: 125 - 143.; Crowley SJ. Assessment of circadian rhythms. In: Wolfson AR, Montgomery-Downs HE, eds. The Oxford Handbook of Infant, Child, and Adolescent Sleep and Behavior. Oxford University Press; 2013: 204 - 222.; Qian J, Martinez-Lozano N, Tvarijonaviciute A, Rios R, Scheer FAJL, Garaulet M. Blunted rest-activity rhythms link to higher body mass index and inflammatory markers in children. Sleep. 2021; 44: zsaa256. doi:10.1093/sleep/zsaa256; Malone SK, Zemel B, Compher C, et al. Social jet lag, chronotype and body mass index in 14-17-year-old adolescents. Chronobiol Int. 2016; 33: 1255 - 1266.; Roenneberg T, Allebrandt KV, Merrow M, Vetter C. Social jetlag and obesity. Curr Biol. 2012; 22: 939 - 943.; Stoner L, Beets MW, Brazendale K, Moore JB, Weaver RG. Social jetlag is associated with adiposity in children. Glob Pediatr Health. 2018; 5: 2333794x18816921. doi:10.1177/2333794X18816921; Sun M, Feng W, Wang F, et al. Meta-analysis on shift work and risks of specific obesity types. Obes Rev. 2018; 19: 28 - 40.; Fischer D, Klerman EB, Phillips AJK. Measuring sleep regularity: theoretical properties and practical usage of existing metrics. Sleep. 2021; 44: zsab103. doi:10.1093/sleep/zsab103; Becker SP, Sidol CA, Van Dyk TR, Epstein JN, Beebe DW. Intraindividual variability of sleep/wake patterns in relation to child and adolescent functioning: a systematic review. Sleep Med Rev. 2017; 34: 94 - 121.; Zhang Z, Pereira JR, Sousa-S� E, et al. The cross-sectional and prospective associations between sleep characteristics and adiposity in toddlers: results from the GET UP! Study. Pediatr Obes. 2019; 14: e12557. doi:10.1111/ijpo.12557; Rangan A, Zheng M, Olsen NJ, Rohde JF, Heitmann BL. Shorter sleep duration is associated with higher energy intake and an increase in BMI z-score in young children predisposed to overweight. Int J Obes (Lond). 2018; 42: 59 - 64.; Kjeldsen JS, Hjorth MF, Andersen R, et al. Short sleep duration and large variability in sleep duration are independently associated with dietary risk factors for obesity in Danish school children. Int J Obes (Lond). 2014; 38: 32 - 39.; Spruyt K, Molfese DL, Gozal D. Sleep duration, sleep regularity, body weight, and metabolic homeostasis in school-aged children. Pediatrics. 2011; 127: e345 - e352.; Stone MR, Stevens D, Faulkner GE. Maintaining recommended sleep throughout the week is associated with increased physical activity in children. Prev Med. 2013; 56: 112 - 117.; Jansen EC, Dunietz GL, Chervin RD, et al. Adiposity in adolescents: the interplay of sleep duration and sleep variability. J Pediatr. 2018; 203: 309 - 316.; He F, Bixler EO, Liao J, et al. Habitual sleep variability, mediated by nutrition intake, is associated with abdominal obesity in adolescents. Sleep Med. 2015; 16: 1489 - 1494.

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