Alison L Miller1, Niko Kaciroti2, Monique K Lebourgeois3, Yu Pu Chen4, Julie Sturza2, Julie C Lumeng5. 1. School of Public Health, University of Michigan, Ann Arbor, Mich; Center for Human Growth and Development, University of Michigan, Ann Arbor, Mich. Electronic address: alimill@umich.edu. 2. Center for Human Growth and Development, University of Michigan, Ann Arbor, Mich. 3. Department of Integrative Physiology, University of Colorado, Boulder, Colo. 4. School of Public Health, University of Michigan, Ann Arbor, Mich. 5. School of Public Health, University of Michigan, Ann Arbor, Mich; Center for Human Growth and Development, University of Michigan, Ann Arbor, Mich; Department of Pediatrics, University of Michigan, Ann Arbor, Mich.
Abstract
OBJECTIVE: To test the independent main and moderating effects of sleep timing on body mass index (BMI) in low-income preschool-age children (M = 4.11 years, SD = 0.54). METHODS: Parents reported demographics and children's sleep concurrently, and a subset of children was followed longitudinally. Child height and weight were measured and BMI z score (BMIz) calculated. Regression analysis evaluated main effects of sleep timing (bedtime, weekday-to-weekend schedule shifting, napping) on concurrent BMIz and future rate of change, and their moderating effects on the sleep duration-BMIz association. RESULTS: Of 366 children (longitudinal subsample = 273), 50% were boys, 57% white, and 37% overweight or obese. Nocturnal sleep duration predicted concurrent BMIz, but not rate of change in BMIz over time. Bedtime was a moderator; the sleep duration-BMIz association was present only among children with bedtimes after 9 pm (β = -0.44; 95% confidence interval -0.69, -0.18). Schedule shifting was a moderator; the association between greater nocturnal sleep duration and lesser rate of future BMIz increase was present only among children with the most consistent sleep schedules (<45-minute delay in weekend bedtime: β = -0.12; 95% confidence interval -0.23, -0.01). Daytime napping did not moderate the nocturnal sleep duration-BMIz association. Covariates (sleep-disordered breathing, soda consumption, home chaos) did not explain these associations. CONCLUSIONS: Among low-income preschoolers, sleep timing moderated the nocturnal sleep duration-BMIz association. Understanding how sleep timing and sleep duration relate to childhood obesity is important for prevention efforts.
OBJECTIVE: To test the independent main and moderating effects of sleep timing on body mass index (BMI) in low-income preschool-age children (M = 4.11 years, SD = 0.54). METHODS: Parents reported demographics and children's sleep concurrently, and a subset of children was followed longitudinally. Child height and weight were measured and BMI z score (BMIz) calculated. Regression analysis evaluated main effects of sleep timing (bedtime, weekday-to-weekend schedule shifting, napping) on concurrent BMIz and future rate of change, and their moderating effects on the sleep duration-BMIz association. RESULTS: Of 366 children (longitudinal subsample = 273), 50% were boys, 57% white, and 37% overweight or obese. Nocturnal sleep duration predicted concurrent BMIz, but not rate of change in BMIz over time. Bedtime was a moderator; the sleep duration-BMIz association was present only among children with bedtimes after 9 pm (β = -0.44; 95% confidence interval -0.69, -0.18). Schedule shifting was a moderator; the association between greater nocturnal sleep duration and lesser rate of future BMIz increase was present only among children with the most consistent sleep schedules (<45-minute delay in weekend bedtime: β = -0.12; 95% confidence interval -0.23, -0.01). Daytime napping did not moderate the nocturnal sleep duration-BMIz association. Covariates (sleep-disordered breathing, soda consumption, home chaos) did not explain these associations. CONCLUSIONS: Among low-income preschoolers, sleep timing moderated the nocturnal sleep duration-BMIz association. Understanding how sleep timing and sleep duration relate to childhood obesity is important for prevention efforts.
Authors: Rebecca H Berger; Anjolii Diaz; Carlos Valiente; Nancy Eisenberg; Tracy L Spinrad; Leah D Doane; Marilyn S Thompson; Maciel M Hernández; Sarah K Johns; Jody Southworth Journal: J Fam Psychol Date: 2019-04-25
Authors: Alison L Miller; Sara E Miller; Monique K LeBourgeois; Julie Sturza; Katherine L Rosenblum; Julie C Lumeng Journal: Appetite Date: 2019-01-08 Impact factor: 3.868
Authors: Susan Kohl Malone; Babette Zemel; Charlene Compher; Margaret Souders; Jesse Chittams; Aleda Leis Thompson; Allan Pack; Terri H Lipman Journal: Chronobiol Int Date: 2016-08-11 Impact factor: 2.877
Authors: Erin R Hager; Christina J Calamaro; Lauren M Bentley; Kristen M Hurley; Yan Wang; Maureen M Black Journal: Child Obes Date: 2016-07-22 Impact factor: 2.992
Authors: Melyssa Roy; Jillian J Haszard; Jennifer S Savage; Kimberly Yolton; Dean W Beebe; Yingying Xu; Barbara Galland; Ian M Paul; Jodi A Mindell; Seema Mihrshahi; Li Ming Wen; Barry Taylor; Rosalina Richards; Lisa Te Morenga; Rachael W Taylor Journal: Pediatr Obes Date: 2020-05-06 Impact factor: 4.000