Christopher A Magee1, Laura Robinson2, Carol Keane2. 1. School of Psychology, University of Wollongong, Wollongong, NSW, 2522 Australia. Electronic address: cmagee@uow.edu.au. 2. School of Psychology, University of Wollongong, Wollongong, NSW, 2522 Australia.
Abstract
OBJECTIVE: This paper aimed to investigate whether distinct sleep quality subtypes predicted health-related quality of life in a nonclinical sample of children. METHODS: This paper utilized data from two waves of the Longitudinal Study of Australian Children, a cohort study that follows a representative population of children in Australia. This paper examined data from Waves 4 and 5 of the LSAC (covering the period 2010-2012) and included 3974 children aged 10-11 years at Wave 4 (51.4% male). Multiple dimensions of sleep quality were assessed using a combination of child- and parent-reported measures. Health-related quality of life (HRQOL) was assessed through the Pediatric Quality of Life Inventory. RESULTS: Latent class analysis indicated six distinct sleep quality classes in children, namely good sleep, moderate sleep quality, mild sleep disturbances, short sleep, long sleep, and disordered sleep. In general, the disordered sleep and minor sleep disturbance classes had poorer HRQOL, which worsened over time. The long sleep and moderate sleep quality classes also showed some decreases in HRQOL over time. CONCLUSIONS: This study demonstrates that there are distinct sleep quality subtypes in children that could have implications for HRQOL. These findings may inform future strategies to promote improved sleep and HRQOL in children.
OBJECTIVE: This paper aimed to investigate whether distinct sleep quality subtypes predicted health-related quality of life in a nonclinical sample of children. METHODS: This paper utilized data from two waves of the Longitudinal Study of Australian Children, a cohort study that follows a representative population of children in Australia. This paper examined data from Waves 4 and 5 of the LSAC (covering the period 2010-2012) and included 3974 children aged 10-11 years at Wave 4 (51.4% male). Multiple dimensions of sleep quality were assessed using a combination of child- and parent-reported measures. Health-related quality of life (HRQOL) was assessed through the Pediatric Quality of Life Inventory. RESULTS: Latent class analysis indicated six distinct sleep quality classes in children, namely good sleep, moderate sleep quality, mild sleep disturbances, short sleep, long sleep, and disordered sleep. In general, the disordered sleep and minor sleep disturbance classes had poorer HRQOL, which worsened over time. The long sleep and moderate sleep quality classes also showed some decreases in HRQOL over time. CONCLUSIONS: This study demonstrates that there are distinct sleep quality subtypes in children that could have implications for HRQOL. These findings may inform future strategies to promote improved sleep and HRQOL in children.
Authors: Amy S DeSantis; Tamara Dubowitz; Bonnie Ghosh-Dastidar; Gerald P Hunter; Matthew Buman; Daniel J Buysse; Lauren Hale; Wendy M Troxel Journal: Sleep Health Date: 2019-06-14
Authors: Courtney K Blackwell; Lauren E Hartstein; Amy J Elliott; Christopher B Forrest; Jody Ganiban; Kelly J Hunt; Carlos A Camargo; Monique K LeBourgeois Journal: Qual Life Res Date: 2020-05-12 Impact factor: 4.147
Authors: Violeta Clement-Carbonell; Irene Portilla-Tamarit; María Rubio-Aparicio; Juan J Madrid-Valero Journal: Int J Environ Res Public Health Date: 2021-01-08 Impact factor: 3.390
Authors: Anthony D Okely; Davina Ghersi; Sarah P Loughran; Dylan P Cliff; Trevor Shilton; Rachel A Jones; Rebecca M Stanley; Julie Sherring; Natalie Toms; Simon Eckermann; Timothy S Olds; Zhiguang Zhang; Anne-Maree Parrish; Lisa Kervin; Sandra Downie; Jo Salmon; Clair Bannerman; Tamie Needham; Elaine Marshall; Jordy Kaufman; Layne Brown; Janecke Wille; Greg Wood; David R Lubans; Stuart J H Biddle; Shane Pill; Anthea Hargreaves; Natalie Jonas; Natasha Schranz; Perry Campbell; Karen Ingram; Hayley Dean; Adam Verrender; Yvonne Ellis; Kar Hau Chong; Dorothea Dumuid; Peter T Katzmarzyk; Catherine E Draper; Hayley Lewthwaite; Mark S Tremblay Journal: Int J Behav Nutr Phys Act Date: 2022-01-06 Impact factor: 6.457
Authors: L Cheng; H Pohlabeln; W Ahrens; P Russo; T Veidebaum; C Hadjigeorgiou; D Molnár; M Hunsberger; S De Henauw; L A Moreno; A Hebestreit Journal: Osteoporos Int Date: 2020-11-27 Impact factor: 4.507