Literature DB >> 27198952

Criteria for nap identification in infants and young children using 24-h actigraphy and agreement with parental diary.

Barbara Galland1, Kim Meredith-Jones2, Andrew Gray3, Rachel Sayers4, Julie Lawrence4, Barry Taylor4, Rachael Taylor2.   

Abstract

STUDY
OBJECTIVES: The study aimed to determine if an automated algorithm, capable of batch scoring, could extract naps and other 24-h sleep-wake variables from actigraphy without the need for parental sleep diaries, which rely heavily on parental awareness of child sleep.
DESIGN: A cross-sectional design was used for the study.
SETTING: The study examined healthy infants/children in their home setting. PARTICIPANTS: A total of 160 infants/children in five age groups (6 months, and 1, 2, 3½ and 5 years) participated in the study. MEASUREMENTS AND
RESULTS: Participants wore actigraphs for 5-7 days, and parents completed sleep diaries over 2 consecutive days. Three criteria were applied to find the minimum sleep time (20, 30 and 40 min) yielding the best nap agreement between diaries and actigraphy for nap/no-nap identification. Best agreements were 72.1% (20 min minimum), 78.4% (20 min), 91.0% (30 min) and 93.3% (30 min) for ages 6 months, 1, 2 and 3½ years, respectively. Kappa statistics classified nap-nap agreement as 'slight' for 6-month data but 'moderate' or 'almost perfect' for older age groups. The number of daytime naps extracted at each age group yielded no significant discrepancies between the methods. Diaries generally returned significantly earlier sleep onset, later sleep offset, longer sleep duration and fewer night wakings at 6 months and 1 and 2 years, but this was not significant at 3½ or 5 years of age.
CONCLUSIONS: Minimum age-specific sleep time thresholds are recommended to improve nap identification in actigraphy across infant and toddler age groups. The findings strengthen our confidence in the ability to collect actigraphy data in the absence of parental diaries, in 3½- and 5-year-olds, at least.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accelerometry; Algorithm; Batch-scoring; Napping; Physical activity; Sleep

Mesh:

Year:  2015        PMID: 27198952     DOI: 10.1016/j.sleep.2015.10.013

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  8 in total

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Authors:  Bridget Armstrong; Lauren B Covington; Erin R Hager; Maureen M Black
Journal:  Sleep Health       Date:  2019-06-03

Review 2.  Actigraphy in sleep research with infants and young children: Current practices and future benefits of standardized reporting.

Authors:  Sarah F Schoch; Salome Kurth; Helene Werner
Journal:  J Sleep Res       Date:  2020-07-08       Impact factor: 3.981

3.  24-h movement behaviors from infancy to preschool: cross-sectional and longitudinal relationships with body composition and bone health.

Authors:  Rachael W Taylor; Jillian J Haszard; Kim A Meredith-Jones; Barbara C Galland; Anne-Louise M Heath; Julie Lawrence; Andrew R Gray; Rachel Sayers; Maha Hanna; Barry J Taylor
Journal:  Int J Behav Nutr Phys Act       Date:  2018-11-26       Impact factor: 6.457

4.  Feasibility of wearable cameras to assess screen time and time spent restrained in children aged 3 to 5 years: a study protocol.

Authors:  Katherine L Downing; Xanne Janssen; John J Reilly
Journal:  BMJ Open       Date:  2019-05-22       Impact factor: 2.692

5.  The Validity, Reliability, and Feasibility of Measurement Tools Used to Assess Sleep of Pre-school Aged Children: A Systematic Rapid Review.

Authors:  Sophie M Phillips; Carolyn Summerbell; Helen L Ball; Kathryn R Hesketh; Sonia Saxena; Frances C Hillier-Brown
Journal:  Front Pediatr       Date:  2021-11-26       Impact factor: 3.418

6.  Protocol for the Let's Grow randomised controlled trial: examining efficacy, cost-effectiveness and scalability of a m-Health intervention for movement behaviours in toddlers.

Authors:  Kylie D Hesketh; Katherine L Downing; Barbara C Galland; Jan M Nicholson; Rachael Taylor; Liliana Orellana; Mohamed Abdelrazek; Harriet Koorts; Victoria Brown; Jess Haines; Karen J Campbell; Lisa M Barnett; Marie Löf; Marj Moodie; Valerie Carson; Jo Salmon
Journal:  BMJ Open       Date:  2022-03-28       Impact factor: 2.692

7.  Three-year follow-up of a randomised controlled trial to reduce excessive weight gain in the first two years of life: protocol for the POI follow-up study.

Authors:  Rachael W Taylor; Anne-Louise M Heath; Barbara C Galland; Sonya L Cameron; Julie A Lawrence; Andrew R Gray; Gerald W Tannock; Blair Lawley; Dione Healey; Rachel M Sayers; Maha Hanna; Kim Meredith-Jones; Burt Hatch; Barry J Taylor
Journal:  BMC Public Health       Date:  2016-08-11       Impact factor: 3.295

8.  Anticipatory guidance to prevent infant sleep problems within a randomised controlled trial: infant, maternal and partner outcomes at 6 months of age.

Authors:  Barbara C Galland; Rachel M Sayers; Sonya L Cameron; Andrew R Gray; Anne-Louise M Heath; Julie A Lawrence; Alana Newlands; Barry J Taylor; Rachael W Taylor
Journal:  BMJ Open       Date:  2017-06-02       Impact factor: 2.692

  8 in total

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