Michelle-Marie Peña1,2, Sheryl L Rifas-Shiman3, Matthew W Gillman3,4, Susan Redline5, Elsie M Taveras2,4. 1. Division of General Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA. 2. Division of General Academic Pediatrics, Massachusetts General Hospital for Children, Boston, MA. 3. Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA. 4. Department of Nutrition, Harvard School of Public Health, Boston, MA. 5. Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA.
Abstract
STUDY OBJECTIVES: To examine the association between race/ethnicity and sleep curtailment from infancy to mid-childhood, and to determine the extent to which socioeconomic and contextual factors both explain racial/ethnic differences and are independently associated with sleep curtailment. METHODS: We studied 1,288 children longitudinally in Project Viva, a pre-birth cohort study, from 6 months to 7 years of age. The main exposure was the child's race/ethnicity. The main outcome was a sleep curtailment score from 6 months to 7 years. The score ranged from 0-13, where 0 indicated maximal sleep curtailment and 13 indicated never having curtailed sleep. RESULTS: The mean (standard deviation) sleep curtailment score was 10.2 (2.7) points. In adjusted models (β [95% CI]), black (-1.92, [-2.39, -1.45] points), Hispanic (-1.58, [-2.43, -0.72] points), and Asian (-1.71, [-2.55, -0.86] points) children had lower sleep scores than white children. Adjustment for sociodemographic covariates attenuated racial/ethnic differences in sleep scores for black (by 24%) and Hispanic children (by 32%) but strengthened the differences for Asian children by 14%. Further adjustment for environmental and behavioral variables did not substantially change these differences. Independently, low maternal education, living in households with incomes < $70,000, viewing more TV, and having a TV in the child's bedroom were associated with lower sleep scores. CONCLUSIONS: Chronic sleep curtailment from infancy to mid-childhood was more prevalent among black, Hispanic, and Asian children. These differences were partially but not entirely explained by socio-contextual variables. Independently, children from lower socioeconomic status and those with greater exposures to TV also had greater sleep curtailment.
STUDY OBJECTIVES: To examine the association between race/ethnicity and sleep curtailment from infancy to mid-childhood, and to determine the extent to which socioeconomic and contextual factors both explain racial/ethnic differences and are independently associated with sleep curtailment. METHODS: We studied 1,288 children longitudinally in Project Viva, a pre-birth cohort study, from 6 months to 7 years of age. The main exposure was the child's race/ethnicity. The main outcome was a sleep curtailment score from 6 months to 7 years. The score ranged from 0-13, where 0 indicated maximal sleep curtailment and 13 indicated never having curtailed sleep. RESULTS: The mean (standard deviation) sleep curtailment score was 10.2 (2.7) points. In adjusted models (β [95% CI]), black (-1.92, [-2.39, -1.45] points), Hispanic (-1.58, [-2.43, -0.72] points), and Asian (-1.71, [-2.55, -0.86] points) children had lower sleep scores than white children. Adjustment for sociodemographic covariates attenuated racial/ethnic differences in sleep scores for black (by 24%) and Hispanic children (by 32%) but strengthened the differences for Asian children by 14%. Further adjustment for environmental and behavioral variables did not substantially change these differences. Independently, low maternal education, living in households with incomes < $70,000, viewing more TV, and having a TV in the child's bedroom were associated with lower sleep scores. CONCLUSIONS: Chronic sleep curtailment from infancy to mid-childhood was more prevalent among black, Hispanic, and Asian children. These differences were partially but not entirely explained by socio-contextual variables. Independently, children from lower socioeconomic status and those with greater exposures to TV also had greater sleep curtailment.
Authors: Wan Seok Seo; Hyung-Mo Sung; Jong Hun Lee; Bon Hoon Koo; Min Ji Kim; So Yeun Kim; So-Jeong Choi; Im Hee Shin Journal: Sleep Med Date: 2010-05-15 Impact factor: 3.492
Authors: Julia McDonald; Roberta E Goldman; Ashley O'Brien; Christine Ayash; Kathy Mitchell; Richard Marshall; Steven R Simon; Elsie M Taveras Journal: Clin Pediatr (Phila) Date: 2011-06 Impact factor: 1.168
Authors: Elsie M Taveras; Matthew W Gillman; Michelle-Marie Peña; Susan Redline; Sheryl L Rifas-Shiman Journal: Pediatrics Date: 2014-06 Impact factor: 7.124
Authors: Suzanna M Martinez; Jeanne M Tschann; Nancy F Butte; Steve E Gregorich; Carlos Penilla; Elena Flores; Lauri A Pasch; Louise C Greenspan; Julianna Deardorff Journal: J Sleep Res Date: 2018-11-05 Impact factor: 3.981
Authors: Ariel A Williamson; Izabela Milaniak; Bethany Watson; Olivia Cicalese; Alexander G Fiks; Thomas J Power; Frances K Barg; Rinad S Beidas; Jodi A Mindell; Katharine A Rendle Journal: J Pediatr Psychol Date: 2020-09-01
Authors: Ji Woon Park; Mona M Hamoda; Fernanda R Almeida; Zitong Wang; David Wensley; Bassam Alalola; Mohammed Alsaloum; Yasue Tanaka; Nelly T Huynh; Annalijn I Conklin Journal: J Clin Sleep Med Date: 2022-02-01 Impact factor: 4.062