TY - JOUR
T1 - Variations in longitudinal sleep duration trajectories from infancy to early childhood
AU - Tham, Elaine K.H.
AU - Xu, Hai Yan
AU - Fu, Xiuju
AU - Schneider, Nora
AU - Goh, Daniel Y.T.
AU - Lek, Ngee
AU - Goh, Rick S.M.
AU - Cai, Shirong
AU - Broekman, Birit F.P.
N1 - Funding Information: This research is supported by the Singapore National Research Foundation under its Translational and Clinical Research (TCR) Flagship Programme and administered by the Singapore Ministry of Health's National Medical Research Council (NMRC), Singapore-NMRC/TCR/004-NUS/2008; NMRC/TCR/012-NUHS/2014. Additional funding is provided by the Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore and Nestec Ltd. Nestec Ltd provided support in the form of salaries for authors [HX, XF, RSMG], but did not have any role in the GUSTO cohort study design, data collection and analysis. NS, employee of Nestec Ltd., provided scientific input and participated in the preparation of the manuscript. This does not alter their adherence on sharing data and materials. Funding Information: This research is supported by the Singapore National Research Foundation under its Translational and Clinical Research (TCR) Flagship Programme and administered by the Singapore Ministry of Health's National Medical Research Council (NMRC), Singapore - NMRC/TCR/004-NUS/2008 ; NMRC/TCR/012-NUHS/2014 . Additional funding is provided by the Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore and Nestec Ltd. Nestec Ltd provided support in the form of salaries for authors [HX, XF, RSMG], but did not have any role in the GUSTO cohort study design, data collection and analysis. NS, employee of Nestec Ltd., provided scientific input and participated in the preparation of the manuscript. This does not alter their adherence on sharing data and materials. Publisher Copyright: © 2020 The Authors
PY - 2021/2
Y1 - 2021/2
N2 - Objective: This study investigates variations in night, day, and total sleep trajectories across infancy and childhood in Asian children. Participants: Participants consisted of a subset of 901 children, within the Growing Up in Singapore Towards healthy Outcomes cohort, which recruited 1247 pregnant women between June 2009 and September 2010. Design: We used a novel conditional probabilistic trajectory model: a probabilistic model for mixture distribution, allowing different trajectory curves and model variances among groups to cluster longitudinal observations. Longitudinal sleep duration data for the trajectory analyses were collected from caregiver-reported questionnaires at 3, 6, 9, 12, 18, 24, and 54 months. Results: We found 3 patterns of night sleep trajectories (n = 356): long consistent (31%), moderate consistent (41%), and short variable (28%); and 4 patterns of day sleep trajectories (n = 347): long variable (21%), long consistent (20%), moderate consistent (34%), and short consistent (25%). We also identified 4 patterns of total sleep trajectories (n = 345): long variable (19%), long consistent (26%), moderate consistent (28%), and short variable (27%). Short, moderate, and long trajectories differed significantly in duration. Children with consistent trajectories also displayed sleep patterns that were significantly more representative of typical developmental sleep patterns than children with variable trajectories. Conclusions: This is the first study to describe multiple sleep trajectories in Singaporean children and identify between-individual variability within the trajectory groups. Compared to predominantly Caucasian samples, night/total sleep trajectories were generally shorter, while day sleep trajectories were longer. Future studies should investigate how these variations are linked to different developmental outcomes.
AB - Objective: This study investigates variations in night, day, and total sleep trajectories across infancy and childhood in Asian children. Participants: Participants consisted of a subset of 901 children, within the Growing Up in Singapore Towards healthy Outcomes cohort, which recruited 1247 pregnant women between June 2009 and September 2010. Design: We used a novel conditional probabilistic trajectory model: a probabilistic model for mixture distribution, allowing different trajectory curves and model variances among groups to cluster longitudinal observations. Longitudinal sleep duration data for the trajectory analyses were collected from caregiver-reported questionnaires at 3, 6, 9, 12, 18, 24, and 54 months. Results: We found 3 patterns of night sleep trajectories (n = 356): long consistent (31%), moderate consistent (41%), and short variable (28%); and 4 patterns of day sleep trajectories (n = 347): long variable (21%), long consistent (20%), moderate consistent (34%), and short consistent (25%). We also identified 4 patterns of total sleep trajectories (n = 345): long variable (19%), long consistent (26%), moderate consistent (28%), and short variable (27%). Short, moderate, and long trajectories differed significantly in duration. Children with consistent trajectories also displayed sleep patterns that were significantly more representative of typical developmental sleep patterns than children with variable trajectories. Conclusions: This is the first study to describe multiple sleep trajectories in Singaporean children and identify between-individual variability within the trajectory groups. Compared to predominantly Caucasian samples, night/total sleep trajectories were generally shorter, while day sleep trajectories were longer. Future studies should investigate how these variations are linked to different developmental outcomes.
KW - Child sleep
KW - Clustering
KW - Infant sleep
KW - Longitudinal sleep
KW - Sleep trajectories
KW - Statistics
UR - http://www.scopus.com/inward/record.url?scp=85089743942&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.sleh.2020.06.007
DO - https://doi.org/10.1016/j.sleh.2020.06.007
M3 - Article
C2 - 32843312
SN - 2352-7218
VL - 7
SP - 56
EP - 64
JO - Sleep Health
JF - Sleep Health
IS - 1
ER -