Literature DB >> 29073403

Practical considerations in using accelerometers to assess physical activity, sedentary behavior, and sleep.

Mirja Quante1, Emily R Kaplan2, Michael Rueschman2, Michael Cailler2, Orfeu M Buxton3, Susan Redline4.   

Abstract

Increasingly, behavioral and epidemiological research uses activity-based measurements (accelerometry) to provide objective estimates of physical activity, sedentary behavior, and sleep in a variety of study designs. As interest in concurrently assessing these domains grows, there are key methodological considerations that influence the choice of monitoring instrument, analysis algorithm, and protocol for measuring these behaviors. The purpose of this review is to summarize evidence-guided information for 7 areas that are of importance in the design and interpretation of studies using actigraphy: (1) choice of cut-points; (2) impact of epoch length; (3) accelerometer placement; (4) duration of monitoring; (5) approaches for distinguishing sleep, nonwear times, and sedentary behavior; (6) role for a sleep and activity diary; and (7) epidemiological applications. Recommendations for future research are outlined and are intended to enhance the appropriate use of accelerometry for assessing physical activity, sedentary behavior, and sleep behaviors in research studies.
Copyright © 2015 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.

Keywords:  Accelerometry; Actigraphy; Physical activity; Sedentary behavior; Sleep

Year:  2015        PMID: 29073403     DOI: 10.1016/j.sleh.2015.09.002

Source DB:  PubMed          Journal:  Sleep Health        ISSN: 2352-7218


  31 in total

1.  Applying time series analyses on continuous accelerometry data-A clinical example in older adults with and without cognitive impairment.

Authors:  Torsten Rackoll; Konrad Neumann; Sven Passmann; Ulrike Grittner; Nadine Külzow; Julia Ladenbauer; Agnes Flöel
Journal:  PLoS One       Date:  2021-05-13       Impact factor: 3.240

2.  Objective sleep and physical activity using 24-hour ankle-worn accelerometry among toddlers from low-income families.

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

Review 3.  Sleep Monitoring in Athletes: Motivation, Methods, Miscalculations and Why it Matters.

Authors:  Shona L Halson
Journal:  Sports Med       Date:  2019-10       Impact factor: 11.136

4.  Featured Article: Bidirectional Effects of Sleep and Sedentary Behavior Among Toddlers: A Dynamic Multilevel Modeling Approach.

Authors:  Bridget Armstrong; Lauren B Covington; George J Unick; Maureen M Black
Journal:  J Pediatr Psychol       Date:  2019-04-01

5.  Subjective and Objective Measures of Daytime Activity and Sleep Disturbance in Retinitis Pigmentosa.

Authors:  Ava Katherine Bittner; Jennifer A Haythornthwaite; Chandni Patel; Michael T Smith
Journal:  Optom Vis Sci       Date:  2018-09       Impact factor: 1.973

6.  Patterns of Physical Activity and Sedentary Behavior for Older Adults with Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Normal in Hong Kong.

Authors:  Zhihui Lu; Tamara B Harris; Eric J Shiroma; Jason Leung; Timothy Kwok
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

7.  Concordance between self-reported and actigraphy-assessed sleep duration among African-American adults: findings from the Jackson Heart Sleep Study.

Authors:  Chandra L Jackson; Julia B Ward; Dayna A Johnson; Mario Sims; James Wilson; Susan Redline
Journal:  Sleep       Date:  2020-03-12       Impact factor: 5.849

8.  Seasonal and weather variation of sleep and physical activity in 12-14-year-old children.

Authors:  Mirja Quante; Rui Wang; Jia Weng; Emily R Kaplan; Michael Rueschman; Elsie M Taveras; Sheryl L Rifas-Shiman; Matthew W Gillman; Susan Redline
Journal:  Behav Sleep Med       Date:  2017-10-09       Impact factor: 2.964

9.  Objective Sleep Characteristics and Cardiometabolic Health in Young Adolescents.

Authors:  Elizabeth M Cespedes Feliciano; Mirja Quante; Sheryl L Rifas-Shiman; Susan Redline; Emily Oken; Elsie M Taveras
Journal:  Pediatrics       Date:  2018-06-15       Impact factor: 7.124

10.  Personalized Sleep Parameters Estimation from Actigraphy: A Machine Learning Approach.

Authors:  Aria Khademi; Yasser El-Manzalawy; Lindsay Master; Orfeu M Buxton; Vasant G Honavar
Journal:  Nat Sci Sleep       Date:  2019-12-11
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