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de Wolf I, Elevelt A, van Nassau F, Toepoel V, de Hollander E, Kompier ME, Luiten A, Schouten B, Wendel-Vos GCW, van der Ploeg HP. Comparing national device-based physical activity surveillance systems: a systematic review. Int J Behav Nutr Phys Act 2024; 21:67. [PMID: 38961445 PMCID: PMC11223351 DOI: 10.1186/s12966-024-01612-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 06/05/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Physical activity surveillance systems are important for public health monitoring but rely mostly on self-report measurement of physical activity. Integration of device-based measurements in such systems can improve population estimates, however this is still relatively uncommon in existing surveillance systems. This systematic review aims to create an overview of the methodology used in existing device-based national PA surveillance systems. METHODS Four literature databases (PubMed, Embase.com, SPORTDiscus and Web of Science) were searched, supplemented with backward tracking. Articles were included if they reported on population-based (inter)national surveillance systems measuring PA, sedentary time and/or adherence to PA guidelines. When available and in English, the methodological reports of the identified surveillance studies were also included for data extraction. RESULTS This systematic literature search followed the PRISMA guidelines and yielded 34 articles and an additional 18 methodological reports, reporting on 28 studies, which in turn reported on one or multiple waves of 15 different national and 1 international surveillance system. The included studies showed substantial variation between (waves of) systems in number of participants, response rates, population representativeness and recruitment. In contrast, the methods were similar on data reduction definitions (e.g. minimal number of valid days, non-wear time and necessary wear time for a valid day). CONCLUSIONS The results of this review indicate that few countries use device-based PA measurement in their surveillance system. The employed methodology is diverse, which hampers comparability between countries and calls for more standardized methods as well as standardized reporting on these methods. The results from this review can help inform the integration of device-based PA measurement in (inter)national surveillance systems.
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Affiliation(s)
- Inge de Wolf
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, van der Boechorststraat 7, Amsterdam, 1081BT, the Netherlands.
- Statistics Netherlands, CBS-weg 11, Heerlen, 6412EX, the Netherlands.
| | - Anne Elevelt
- Statistics Netherlands, CBS-weg 11, Heerlen, 6412EX, the Netherlands
| | - Femke van Nassau
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, van der Boechorststraat 7, Amsterdam, 1081BT, the Netherlands
| | - Vera Toepoel
- Statistics Netherlands, CBS-weg 11, Heerlen, 6412EX, the Netherlands
| | - Ellen de Hollander
- National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721MA, Bilthoven, the Netherlands
| | - Maaike E Kompier
- Statistics Netherlands, CBS-weg 11, Heerlen, 6412EX, the Netherlands
| | - Annemieke Luiten
- Statistics Netherlands, CBS-weg 11, Heerlen, 6412EX, the Netherlands
| | - Barry Schouten
- Statistics Netherlands, Henri Faasdreef 312, 2492JP, The Hague, the Netherlands
| | - G C Wanda Wendel-Vos
- National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721MA, Bilthoven, the Netherlands
| | - Hidde P van der Ploeg
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, van der Boechorststraat 7, Amsterdam, 1081BT, the Netherlands
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Szczuka Z, Kulis E, Banik A, Boberska M, Siwa M, Zaleskiewicz H, Krzywicka P, Paduszynska N, Knoll N, Radtke T, Schenkel K, Dunton GF, Luszczynska A. Effects of physical activity planning interventions on reducing sedentary behavior in parent-child dyads: A randomized controlled trial. Appl Psychol Health Well Being 2024. [PMID: 38886974 DOI: 10.1111/aphw.12565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 06/03/2024] [Indexed: 06/20/2024]
Abstract
Effects of parent-child dyad interventions on behavior remain unclear. This randomized controlled trial investigated if, compared with a control condition, three types of physical activity (PA) planning interventions (individual "I-for-me," dyadic "we-for-me," and collaborative "we-for-us") would reduce sedentary behavior (SB) time in parents and their children. The study involved 247 dyads comprising parents (aged 29-66) and their children (aged 9-15), randomized into one of the three types of PA planning-intervention arms or the control condition. Mixed models were applied to analyze data from a preregistered trial (NCT02713438) with the outcome of accelerometer-measured SB time, assessed at 1-week and 36-week follow-ups. Although children's SB remained unaffected by the planning interventions, a small reduction of SB time was found among parents in the collaborative (p = .048) and individual (p = .042) planning conditions. The effects were observed at the 1-week follow-up only. While short-term reductions in parents' SB were achieved, these were not sustained long-term. PA planning interventions delivered to parent-child dyads did not substantially reduce children's SB, which may be due to young people's needs of increased independence from their parents.
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Affiliation(s)
- Zofia Szczuka
- Wroclaw Faculty of Psychology, SWPS University, Wroclaw, Poland
| | - Ewa Kulis
- Wroclaw Faculty of Psychology, SWPS University, Wroclaw, Poland
| | - Anna Banik
- Wroclaw Faculty of Psychology, SWPS University, Wroclaw, Poland
| | - Monika Boberska
- Wroclaw Faculty of Psychology, SWPS University, Wroclaw, Poland
| | - Maria Siwa
- Wroclaw Faculty of Psychology, SWPS University, Wroclaw, Poland
| | | | | | | | - Nina Knoll
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Theda Radtke
- Health Psychology and Applied Diagnostics, University of Wuppertal, Wuppertal, Germany
| | - Konstantin Schenkel
- Applied Social and Health Psychology, Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Genevieve F Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Aleksandra Luszczynska
- Wroclaw Faculty of Psychology, SWPS University, Wroclaw, Poland
- Melbourne Centre for Behavior Change, Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia
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Crumbley C, Cepni AB, Taylor A, Thompson D, Moran NE, Olvera N, O'Connor DP, Johnston CA, Ledoux TA. Exploring Factors Associated With Accelerometer Validity Among Ethnically Diverse Toddlers. Pediatr Exerc Sci 2024; 36:66-74. [PMID: 37758263 DOI: 10.1123/pes.2022-0114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 05/11/2023] [Accepted: 07/28/2023] [Indexed: 10/03/2023]
Abstract
PURPOSE Studying physical activity in toddlers using accelerometers is challenging due to noncompliance with wear time (WT) and activity log (AL) instructions. The aims of this study are to examine relationships between WT and AL completion and (1) demographic and socioeconomic variables, (2) parenting style, and (3) whether sedentary time differs by AL completion. METHODS Secondary analysis was performed using baseline data from a community wellness program randomized controlled trial for parents with toddlers (12-35 mo). Parents had toddlers wear ActiGraph wGT3x accelerometers and completed ALs. Valid days included ≥600-minute WT. Analysis of variance and chi-square analyses were used. RESULTS The sample (n = 50) comprised racial and ethnically diverse toddlers (mean age = 27 mo, 58% male) and parents (mean age = 31.7 y, 84% female). Twenty-eight families (56%) returned valid accelerometer data with ALs. Participants in relationships were more likely to complete ALs (P < .05). Toddler sedentary time did not differ between those with ALs and those without. CONCLUSIONS We found varied compliance with WT instructions and AL completion. Returned AL quality was poor, presenting challenges in correctly characterizing low-activity counts to improve internal validity of WT and physical activity measures. Support from marital partners may be important for adherence to study protocols.
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Affiliation(s)
- Christine Crumbley
- Department of Health and Human Performance, University of Houston, Houston, TX,USA
| | - Aliye B Cepni
- Department of Health and Human Performance, University of Houston, Houston, TX,USA
| | - Ashley Taylor
- Department of Psychological, Health, and Learning Sciences, University of Houston, Houston, TX,USA
| | - Debbe Thompson
- USDA/ARS Children's Nutrition Research Center & Department of Pediatrics, Baylor College of Medicine, Houston, TX,USA
| | - Nancy E Moran
- USDA/ARS Children's Nutrition Research Center & Department of Pediatrics, Baylor College of Medicine, Houston, TX,USA
| | - Norma Olvera
- Department of Psychological, Health, and Learning Sciences, University of Houston, Houston, TX,USA
- Latino Health Disparities Lab, University of Houston, Houston, TX,USA
| | - Daniel P O'Connor
- Department of Health and Human Performance, University of Houston, Houston, TX,USA
- HEALTH Research Institute, University of Houston, Houston, TX,USA
| | - Craig A Johnston
- Department of Health and Human Performance, University of Houston, Houston, TX,USA
| | - Tracey A Ledoux
- Department of Health and Human Performance, University of Houston, Houston, TX,USA
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Zablocki RW, Hartman SJ, Di C, Zou J, Carlson JA, Hibbing PR, Rosenberg DE, Greenwood-Hickman MA, Dillon L, LaCroix AZ, Natarajan L. Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors. Int J Behav Nutr Phys Act 2024; 21:48. [PMID: 38671485 PMCID: PMC11055353 DOI: 10.1186/s12966-024-01585-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 03/21/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Sedentary behavior (SB) is a recognized risk factor for many chronic diseases. ActiGraph and activPAL are two commonly used wearable accelerometers in SB research. The former measures body movement and the latter measures body posture. The goal of the current study is to quantify the pattern and variation of movement (by ActiGraph activity counts) during activPAL-identified sitting events, and examine associations between patterns and health-related outcomes, such as systolic and diastolic blood pressure (SBP and DBP). METHODS The current study included 314 overweight postmenopausal women, who were instructed to wear an activPAL (at thigh) and ActiGraph (at waist) simultaneously for 24 hours a day for a week under free-living conditions. ActiGraph and activPAL data were processed to obtain minute-level time-series outputs. Multilevel functional principal component analysis (MFPCA) was applied to minute-level ActiGraph activity counts within activPAL-identified sitting bouts to investigate variation in movement while sitting across subjects and days. The multilevel approach accounted for the nesting of days within subjects. RESULTS At least 90% of the overall variation of activity counts was explained by two subject-level principal components (PC) and six day-level PCs, hence dramatically reducing the dimensions from the original minute-level scale. The first subject-level PC captured patterns of fluctuation in movement during sitting, whereas the second subject-level PC delineated variation in movement during different lengths of sitting bouts: shorter (< 30 minutes), medium (30 -39 minutes) or longer (> 39 minute). The first subject-level PC scores showed positive association with DBP (standardized β ^ : 2.041, standard error: 0.607, adjusted p = 0.007), which implied that lower activity counts (during sitting) were associated with higher DBP. CONCLUSION In this work we implemented MFPCA to identify variation in movement patterns during sitting bouts, and showed that these patterns were associated with cardiovascular health. Unlike existing methods, MFPCA does not require pre-specified cut-points to define activity intensity, and thus offers a novel powerful statistical tool to elucidate variation in SB patterns and health. TRIAL REGISTRATION ClinicalTrials.gov NCT03473145; Registered 22 March 2018; https://clinicaltrials.gov/ct2/show/NCT03473145 ; International Registered Report Identifier (IRRID): DERR1-10.2196/28684.
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Affiliation(s)
- Rong W Zablocki
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, 92093, California, USA
| | - Sheri J Hartman
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, 92093, California, USA
| | - Chongzhi Di
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, 98109, Washington, USA
| | - Jingjing Zou
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, 92093, California, USA
| | - Jordan A Carlson
- Center for Children's Healthy Lifestyles and Nutrition, Children's Mercy Kansas City, 610 E. 22nd St., Kansas City, 64108, Missouri, USA
| | - Paul R Hibbing
- Department of Kinesiology and Nutrition, University of Illinois Chicago, 1919 W Taylor St, Chicago, IL, 60612, USA
| | - Dori E Rosenberg
- Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600, Seattle, 98101, Washington, USA
| | | | - Lindsay Dillon
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, 92093, California, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, 92093, California, USA
| | - Loki Natarajan
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California at San Diego, 9500 Gilman Drive, La Jolla, 92093, California, USA.
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Davis-Wilson HC, Thoma LM, Franz JR, Blackburn JT, Longobardi L, Schwartz TA, Hackney AC, Pietrosimone B. Physical Activity Associates with T1rho MRI of Femoral Cartilage After Anterior Cruciate Ligament Reconstruction. Med Sci Sports Exerc 2024; 56:411-417. [PMID: 37796166 PMCID: PMC10922225 DOI: 10.1249/mss.0000000000003318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
PURPOSE Less physical activity has been associated with systemic biomarkers of cartilage breakdown after anterior cruciate ligament reconstruction (ACLR). However, previous research lacks analysis of deleterious cartilage compositional changes and objective physical activity after ACLR. The purpose of this study was to determine the association between physical activity quantified via accelerometer-based measures of daily steps and time in moderate-to-vigorous physical activity (MVPA), and T1rho magnetic resonance imaging (MRI) of the femoral articular cartilage, a marker of proteoglycan density in individuals with ACLR. METHODS Daily steps and MVPA were assessed over 7 d using an accelerometer worn on the hip in 26 individuals between 6 and 12 months after primary unilateral ACLR. Resting T1rho MRI was collected bilaterally, and T1rho MRI interlimb ratios (ILR: ACLR limb/contralateral limb) were calculated for lateral and medial femoral condyle regions of interest. We conducted univariate linear regression analyses to determine associations between T1rho MRI ILRs and daily steps and MVPA with and without controlling for sex. RESULTS Greater T1rho MRI ILR of the central lateral femoral condyle, indicative of less proteoglycan density in the ACLR limb, was associated with greater time in MVPA ( R2 = 0.178, P = 0.032). Sex-adjusted models showed significant interaction terms between daily steps and sex in the anterior ( P = 0.025), central ( P = 0.002), and posterior ( P = 0.002) medial femoral condyle. CONCLUSIONS Lesser physical activity may be a risk factor for maintaining cartilage health after ACLR; additionally, the relationship between physical activity and cartilage health may be different between males and females.
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Affiliation(s)
- Hope C. Davis-Wilson
- Department of Physical Medicine and Rehabilitation, University of Colorado, Aurora, CO
- VA Eastern Colorado Geriatric Research, Education, and Clinical Center, Rocky Mountain Regional VA Medical Center, Aurora, CO
- MOTION Science Institute, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Louise M. Thoma
- Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Division of Physical Therapy, Department of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Jason R. Franz
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC
| | - J. Troy Blackburn
- MOTION Science Institute, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Orthopaedics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Lara Longobardi
- Department of Medicine, Division of Rheumatology, Allergy, and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Todd A. Schwartz
- Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Biostatistics, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Anthony C. Hackney
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Brian Pietrosimone
- MOTION Science Institute, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Orthopaedics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
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de Mello MT, Stieler E, Grade I, Filho AFC, Mendes G, Ituassu N, Silva A. The Sleep Parameters of Olympic Athletes: Characteristics and Assessment Instruments. Int J Sports Med 2024. [PMID: 38113920 DOI: 10.1055/a-2233-0323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
This systematic review aims to identify the sleep parameters of Olympic athletes and the instruments used to assess and monitor the sleep of these athletes. The search was conducted until February 2023 and was performed in PubMed, Web of Science, and Scopus databases. This systematic review has included studies that investigated at least one of the following sleep parameters: total sleep time (TST), sleep onset latency (SOL), sleep efficiency (SE), awakenings after sleep onset (WASO), quality of sleep, daytime sleepiness, and chronotype; the participants were Olympic athletes. The search returned a total of 280 studies. After screening based on exclusion and inclusion criteria, 11 studies were included. The main results demonstrate that Olympic athletes have TST of 06:10 h, SE of 84%, SOL of 28 min, and WASO of 49 min. The most predominant chronotype is indifferent; over half of the athletes have poor sleep quality and complaints. Furthermore, actigraphy was the most used method to assess sleep. It is concluded that Olympic athletes have TST, SE, and WASO poor than the recommended values. In addition, sleep complaints and poor sleep quality were also observed. Among the objective sleep assessment methods, actigraphy was the method most frequently used in this population.
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Affiliation(s)
| | - Eduardo Stieler
- Sports, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Isadora Grade
- Sports, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Gabriel Mendes
- Physiotherapy, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Natália Ituassu
- Physiotherapy, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Andressa Silva
- Sports, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
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Wang M, Flexeder C, Harris CP, Thiering E, Koletzko S, Bauer CP, Schulte-Körne G, von Berg A, Berdel D, Heinrich J, Schulz H, Schikowski T, Peters A, Standl M. Accelerometry-assessed sleep clusters and cardiometabolic risk factors in adolescents. Obesity (Silver Spring) 2024; 32:200-213. [PMID: 37873587 DOI: 10.1002/oby.23918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/07/2023] [Accepted: 08/18/2023] [Indexed: 10/25/2023]
Abstract
OBJECTIVE This study aimed to identify sleep clusters based on objective multidimensional sleep characteristics and test their associations with adolescent cardiometabolic health. METHODS The authors included 1090 participants aged 14.3 to 16.4 years (mean = 15.2 years) who wore 7-day accelerometers during the 15-year follow-up of the German Infant Study on the influence of Nutrition Intervention PLUS environmental and genetic influences on allergy development (GINIplus) and the Influence of Lifestyle factors on the development of the Immune System and Allergies in East and West Germany (LISA) birth cohorts. K-means cluster analysis was performed across 12 sleep characteristics reflecting sleep quantity, quality, schedule, variability, and regularity. Cardiometabolic risk factors included fat mass index (FMI), blood pressure, triglycerides, high-density lipoprotein cholesterol, high-sensitivity C-reactive protein, and insulin resistance (n = 505). Linear and logistic regression models were examined. RESULTS Five sleep clusters were identified: good sleep (n = 337); delayed sleep phase (n = 244); sleep irregularity and variability (n = 108); fragmented sleep (n = 313); and prolonged sleep latency (n = 88). The "prolonged sleep latency" cluster was associated with increased sex-scaled FMI (β = 0.39, 95% CI: 0.15-0.62) compared with the "good sleep" cluster. The "sleep irregularity and variability" cluster was associated with increased odds of high triglycerides only in male individuals (odds ratio: 9.50, 95% CI: 3.22-28.07), but this finding was not confirmed in linear models. CONCLUSIONS The prolonged sleep latency cluster was associated with higher FMI in adolescents, whereas the sleep irregularity and variability cluster was specifically linked to elevated triglycerides (≥1.7 mmol/L) in male individuals.
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Affiliation(s)
- Mingming Wang
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany
| | - Claudia Flexeder
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Carla P Harris
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospitals, Munich, Germany
| | - Elisabeth Thiering
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospitals, Munich, Germany
| | - Sibylle Koletzko
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospitals, Munich, Germany
- Department of Pediatrics, Gastroenterology and Nutrition, School of Medicine Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland
| | | | - Gerd Schulte-Körne
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Hospital of the Ludwig-Maximilians-University (LMU) Munich, Munich, Germany
| | - Andrea von Berg
- Research Institute, Department of Pediatrics, Marien-Hospital Wesel, Wesel, Germany
| | - Dietrich Berdel
- Research Institute, Department of Pediatrics, Marien-Hospital Wesel, Wesel, Germany
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Holger Schulz
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Tamara Schikowski
- IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
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Kastelic K, Šarabon N, Stanford T, Dumuid D, Pedišić Ž. Are reallocations of time between physical activity, sedentary behaviour and sleep associated with low back pain? A compositional data analysis. BMJ Open Sport Exerc Med 2023; 9:e001701. [PMID: 38022760 PMCID: PMC10679988 DOI: 10.1136/bmjsem-2023-001701] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/31/2023] [Indexed: 12/01/2023] Open
Abstract
Objectives The aim of this cross-sectional study was to explore the associations of reallocating time between moderate- to vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), sedentary behaviour (SB) and sleep with occurrence, frequency and intensity of low back pain (LBP) among adults using compositional isotemporal substitution analysis. Methods A total of 2333 participants from the general adult population completed the Daily Activity Behaviours Questionnaire asking about their time-use composition consisting of sleep, SB, LPA and MVPA, and they self-reported their frequency and intensity of LBP in the past year. Results Regression analyses adjusted for age, sex, body mass index, smoking, stress, education and socioeconomic status found that the time-use composition is associated with the frequency (p=0.009) and intensity of LBP (p<0.001). Reallocating time from SB or LPA to sleep was associated with lower frequency and intensity of LBP (p<0.05). Reallocating time from MVPA to sleep, SB or LPA and from SB to LPA was associated with a lower intensity of LBP (p<0.05). For example, reallocating 30 min/day from SB to sleep was associated with 5% lower odds (95% CI: 2% to 8%, p=0.001) of experiencing LBP more frequently, and 2% lower LBP intensity (95% CI: 1% to 3%, p<0.001). Conclusion LBP sufferers may benefit from getting additional sleep and spending more time in LPA, while engaging less in SB and MVPA. These reallocations of time may be meaningful from clinical and public health perspectives.
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Affiliation(s)
- Kaja Kastelic
- Department of Health Studies, Andrej Marušič Institute, University of Primorska, Koper, Slovenia
- InnoRenew CoE, Izola, Slovenia
| | - Nejc Šarabon
- InnoRenew CoE, Izola, Slovenia
- Faculty of Health Sciences, University of Primorska, Izola, Slovenia
| | - Ty Stanford
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Željko Pedišić
- Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia
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Liang X, Haegele JA, Healy S, Tse ACY, Qiu H, Zhao S, Li C. Age-Related Differences in Accelerometer-Assessed Physical Activity and Sleep Parameters Among Children and Adolescents With and Without Autism Spectrum Disorder: A Meta-Analysis. JAMA Netw Open 2023; 6:e2336129. [PMID: 37801316 PMCID: PMC10559179 DOI: 10.1001/jamanetworkopen.2023.36129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 08/22/2023] [Indexed: 10/07/2023] Open
Abstract
Importance Physical inactivity and sleep disorders are health-related concerns of youth with autism spectrum disorder (ASD) that can persist from childhood and exacerbate core symptoms. However, evidence on group differences in accelerometer-assessed physical activity and sleep parameters among youth with and without ASD is inconclusive and age-specific effects remain unclear. Objective To synthesize evidence on group differences in accelerometer-assessed physical activity and sleep parameters and examine the moderating effects of age between children and adolescents with and without ASD. Data Sources American Psychological Association PsychInfo, CINAHL Ultimate, ERIC, MEDLINE, SPORTDiscus with Full Text, and Web of Science from inception to February 2023. Study Selection Two independent reviewers screened articles for observational research comparing accelerometer-assessed physical activity levels and sleep parameters in children and adolescents with and without ASD. Data Extraction and Synthesis After developing a standardized form, relevant data were extracted. Quality was assessed using the McMaster Critical Review Form and rated based on sample, measurement, and analyses. The Preferring Reporting Items for Systematic Reviews and Meta-Analyses guideline was followed. Main Outcomes and Measures The primary outcomes were actigraphy-measured MVPA, sleep latency, sleep efficiency, total sleep time, and wake after sleep onset. Data were pooled using a random-effects model. Hedges g was used to express the effect size index. Meta-regression on age was also performed to investigate the potential moderating effects. Results Collectively, 1757 studies were initially identified. Among 104 articles that were assessed, 28 were included, comprising moderate-to-vigorous physical activity (MVPA), 4 sleep parameters, and 73 independent effect sizes. A total of 28 studies were included in analysis, comprising 805 children and adolescents with ASD and 1573 without ASD (age range, 5.1-16.9 years). Compared with peers without ASD, children and adolescents with ASD had a small-to-moderate difference in MVPA (g = -0.450; 95% CI, -0.622 to -0.277), total sleep time (g = -0.332; 95% CI, -0.574 to -0.090), sleep efficiency (g = -0.424; 95% CI, -0.645 to -0.203), and a moderate difference in sleep latency (g = 0.514; 95% CI, 0.351 to 0.677) measured by actigraphy. Children and adolescents with ASD experienced an age-related decline in moderate-to-vigorous physical activity (β = -0.049 [95% CI, -0.097 to -0.001]; P = .045), indicating that younger children with ASD showed a smaller difference in MVPA compared with their peers without ASD. Moderating effects of age on sleep parameters were not significant. Conclusions and Relevance The findings of this meta-analysis suggested that children and adolescents with ASD had lower MVPA and worse sleep than peers without ASD, and the difference in MVPA varied with age. These findings reinforce the need for public health initiatives aimed at reducing these group disparities.
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Affiliation(s)
- Xiao Liang
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong
| | - Justin A. Haegele
- Department of Human Movement Sciences, Old Dominion University, Norfolk, Virginia
- Center for Movement, Health, & Disability, Old Dominion University, Norfolk, Virginia
| | - Sean Healy
- Department of Physical Education and Sports Science, University of Limerick, Limerick, Ireland
| | - Andy Choi-Yeung Tse
- Department of Health and Physical Education, The Education University of Hong Kong, Hong Kong
| | - Hui Qiu
- Department of Educational Administration and Policy, The Chinese University of Hong Kong, Hong Kong
| | - Shi Zhao
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Chunxiao Li
- School of Physical Education & Sports Science, South China Normal University, Guangzhou, China
- Adapted Physical Activity Laboratory, South China Normal University, Guangzhou, China
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10
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Nobari H, Banihashemi M, Saedmocheshi S, Prieto-González P, Oliveira R. Overview of the impact of sleep monitoring on optimal performance, immune system function and injury risk reduction in athletes: A narrative review. Sci Prog 2023; 106:368504231206265. [PMID: 37990537 PMCID: PMC10666701 DOI: 10.1177/00368504231206265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Abstract
Sleep is essential for a range of physiological and mental functions in professional athletes. There is proof that athletes may experience lower quality and quantity of sleep. While adequate sleep has been shown to have restorative effects on the immune system and endocrine system, facilitate nervous system recovery and the metabolic cost of wakefulness, and play a significant role in learning, memory, and synaptic plasticity, which can affect sports recovery, injury risk reduction, and performance. Sports performance may suffer significantly from a lack of sleep, especially under maximal and long-term exercise. Due to the potential harm, these factors may do to an athlete's endocrine, metabolic, and nutritional health, sports performance is impacted by reduced sleep quality or quantity. There are several neurotransmitters associated with the sleep-wake cycle that have been discovered. They comprise cholinergic hormone, orexin, melanin, galanin, serotonin, gamma-aminobutyric acid, histamine, and serotonin. Therefore, dietary modifications that affect the neurotransmitters in the brain also may affect sleep; particularly for athletes who require more physical and psychological recovery owing to the tremendous physiological and psychological demands placed on them during training and performance. This review explores the variables that influence the quantity and quality of sleep-in populations of athletes and assesses their possible effects. In addition, several recommendations for improving sleep are presented. Even though there has been much research on variables that impact sleep, future studies may highlight the significance of these aspects for athletes.
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Affiliation(s)
- Hadi Nobari
- Faculty of Sport Sciences, University of Extremadura, Cáceres, Spain
| | - Mojgan Banihashemi
- Department of Exercise Physiology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Saber Saedmocheshi
- Department of Physical Education and Sport Sciences, Faculty of Humanities and Social Sciences, University of Kurdistan, Sanandaj, Iran
| | - Pablo Prieto-González
- Sport Sciences and Diagnostics Research Group, GSD-HPE Department, Prince Sultan University, Riyadh, Saudi Arabia
| | - Rafael Oliveira
- Sports Science School of Rio Maior–Polytechnic Institute of Santarém, Rio Maior, Portugal
- Research Center in Sport Sciences, Health Sciences and Human Development, Vila Real, Portugal
- Life Quality Research Centre, Rio Maior, Portugal
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11
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Atoui S, Bernard P, Carli F, Liberman AS. Association Between Physical Activity, Sedentary Behaviors, and Sleep-Related Outcomes Among Cancer Survivors: a Cross-Sectional Study. Int J Behav Med 2023:10.1007/s12529-023-10216-8. [PMID: 37656309 DOI: 10.1007/s12529-023-10216-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/17/2023] [Indexed: 09/02/2023]
Abstract
BACKGROUND Limited research has examined the association between moderate to vigorous physical activity (MVPA), sedentary behavior (SB), and sleep-related outcomes in cancer survivors. Therefore, this study aimed to examine these associations using a nationally representative sample of US adults. METHODS Data from the 2005-2018 National Health and Nutrition Examination Survey (NHANES) were analyzed. A total of 3229 adults with cancer histories were included. Physical activity was measured through accelerometry, and questions on daily activities, sedentary time, and sleep were collected during the household interview. Weighted multivariable analyses were conducted after accounting for the complex sampling design of the NHANES dataset. RESULTS After adjustments, physical activity and SB outcomes were associated with several self-reported sleep-related parameters. Increases in minutes of self-reported MVPA and SB were associated with a decreased likelihood of reporting ≥ 8 h of sleep (OR = 0.92, 95% CI = 0.86, 0.99 and OR = 0.88, 95% CI = 0.82, 0.95). Converse associations were found between device-measured MVPA and SB with the likelihood of reporting often/always feeling overly sleepy during the day (OR = 0.86, 95% CI = 0.75 and OR = 1.13, 95% CI = 1.05, respectively). However, an increased likelihood of waking up too early in the morning (OR = 1.22, 95% CI = 1.04) was observed with increases in minutes of device-measured MVPA. CONCLUSIONS A sensible strategy to decrease the frequency of sedentary breaks and increase minutes of physical activity throughout the day may reduce sleep complaints reported in cancer survivors.
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Affiliation(s)
- Sarah Atoui
- Division of Experimental Surgery, Department of Surgery, McGill University Health Centre, 1650 Cedar Ave, Room L10.106, Montreal, QC, H3G 1A4, Canada
| | - Paquito Bernard
- Department of Physical Activity Sciences, Université du Québec à Montréal, 141, Avenue du Président Kennedy, Montreal, QC, H2X 1Y4, Canada
- Research Centre, University Institute of Mental Health in Montreal, Montreal, QC, Canada
| | - Francesco Carli
- Department of Anesthesia, McGill University Health Centre, 1650 Cedar Ave, Room E10.160, Montreal, QC, H3G 1A4, Canada
| | - A Sender Liberman
- Division of Experimental Surgery, Department of Surgery, McGill University Health Centre, 1650 Cedar Ave, Room L10.106, Montreal, QC, H3G 1A4, Canada.
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12
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Michalsen H, Henriksen A, Pettersen G, Hartvigsen G, Wangberg S, Thrane G, Jahnsen R, Anke A. Using mobile health to encourage physical activity in individuals with intellectual disability: a pilot mixed methods feasibility study. FRONTIERS IN REHABILITATION SCIENCES 2023; 4:1225641. [PMID: 37691911 PMCID: PMC10483399 DOI: 10.3389/fresc.2023.1225641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 08/04/2023] [Indexed: 09/12/2023]
Abstract
Background Many individuals with intellectual disability (ID) have a sedentary lifestyle. Few interventions aimed at increasing their level of physical activity (PA) have shown lasting effects. Aim To assess the feasibility and acceptability of a pilot intervention study using innovative mobile health (mHealth) support systems to encourage PA in individuals with ID. Methods Nine individuals with ID and a low level of PA, aged 16-36 years, were included in the present convergent triangulation mixed method design. Two mHealth support systems (apps) were developed and tested. PA was measured with a Fitbit smartwatch, accelerometer, the International Physical Activity Questionnaire-Short Form (IPAQ-S), and Goal attainment scaling. Data were collected through online pre-, mid- (4 weeks), and post-intervention (12 weeks) questionnaires and activity trackers. Semi-structured qualitative interviews with participants and/or a family or staff member were held after the 12-week follow-up. Data were analyzed using conventional nonparametric statistics and thematic analyses. Results The response rate and retention to the trial were 16% and 100%, respectively. Data quality was high, except for missing data from Fitbit activity trackers of approximately 30% from the 4- and 12-week follow-up stages. The feasibility challenges with activity trackers include rashes, size, non-acceptance, and loss of motivation. Participants and family members/staff reported interest in the study theme and were pleased with the data collection method. All but one participant achieved their PA goals. Most participants reported being satisfied with the apps as they were enjoyable or provided a reminder for performing physical and other activities. Social support for PA among family members also increased. However, app support from staff and family members was needed, and apps were not used regularly. Two of nine participants (22%) had increased their PA measured as steps per day with Fitbit at the 12-week follow-up. Conclusions The acceptability and feasibility of using tailored mobile applications in natural settings to increase PA among adults with ID are promising. This study aligns with previous studies in showing the challenges to increasing PA, which requires the inclusion of family members, staff, and stakeholders. The intervention requires modifications before a randomized controlled trial can be conducted.
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Affiliation(s)
- Henriette Michalsen
- Department of Rehabilitation, University Hospital of North Norway, Tromsø, Norway
- Faculty of Health Sciences, Department of Clinical Medicine, UiT—The Artic University of Norway, Tromsø, Norway
| | - André Henriksen
- Faculty of Science and Technology, Department of Computer Science, UiT—The Artic University of Norway, Tromsø, Norway
| | - Gunn Pettersen
- Faculty of Health Sciences, Department of Health and Care Sciences, UiT—The Arctic University of Norway, Tromsø, Norway
| | - Gunnar Hartvigsen
- Faculty of Science and Technology, Department of Computer Science, UiT—The Artic University of Norway, Tromsø, Norway
| | - Silje Wangberg
- Faculty of Health Sciences, Department of Health and Care Sciences, UiT—The Arctic University of Norway, Narvik, Norway
| | - Gyrd Thrane
- Faculty of Health Sciences, Department of Health and Care Sciences, UiT—The Arctic University of Norway, Tromsø, Norway
| | - Reidun Jahnsen
- Institute of Health and Society, Research Centre for Habilitation and Rehabilitation Models and Services (CHARM), Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Audny Anke
- Department of Rehabilitation, University Hospital of North Norway, Tromsø, Norway
- Faculty of Health Sciences, Department of Clinical Medicine, UiT—The Artic University of Norway, Tromsø, Norway
- Institute of Health and Society, Research Centre for Habilitation and Rehabilitation Models and Services (CHARM), Faculty of Medicine, University of Oslo, Oslo, Norway
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13
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Phillips SM, Summerbell C, Hesketh KR, Saxena S, Hillier-Brown FC. Co-design and content validity of the movement measurement in the early years (MoveMEY) tool for assessing movement behaviour of pre-school aged children. Int J Behav Nutr Phys Act 2023; 20:95. [PMID: 37542295 PMCID: PMC10401865 DOI: 10.1186/s12966-023-01486-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 06/27/2023] [Indexed: 08/06/2023] Open
Abstract
BACKGROUND Movement behaviours (physical activity, sedentary behaviour, and sleep) are important for pre-school children's health and development. Currently, no tools with appropriate content validity exist that concurrently capture these movement behaviours in young children. The aim of this study was to co-design and assess the content validity of a novel tool to concurrently measure movement behaviours in pre-school aged children (aged 3-4 years). METHODS We followed four distinct steps to develop and assess the content validity of Movement Measurement in the Early Years (MoveMEY): (1) We conducted an extensive literature search, to identify pre-existing proxy measurement tools (questionnaires and diaries) to inform the design of a novel tool, which aimed to effectively capture movement behaviour guidelines of pre-school aged children. (2) We facilitated focus group discussions with parents and carers of pre-school aged children (n = 11) and (3) a qualitative survey with free text responses was completed by topic relevant researchers (n = 6), to co-design the measurement tool. (4) We assessed the content validity of the developed tool, MoveMEY, through interviews with parents of pre-school aged children (n = 12) following piloting of the tool. RESULTS We developed an initial version of MoveMEY based on the format of an existing questionnaire and by mapping the content of questions to the guidelines. Co-design of MoveMEY resulted in changes to the format (e.g. short questionnaire to a seven-day diary) and content (e.g. inclusion of 'general information' questions on illness, disabilities and sleep disturbances; question on screen time before bed). Content validity assessment demonstrated that the items of MoveMEY were relevant and comprehensive for the assessment of children's movement behaviours. MoveMEY was felt to be comprehensible, however, parental suggestions were implemented to finalise and improve MoveMEY (e.g. adding examples to questions aiming to detect moderate to vigorous physical activity). CONCLUSION MoveMEY is the first co-designed measurement tool that has relevance for assessing the movement behaviour guidelines of pre-school aged children. Parent/carer and topic relevant researcher involvement throughout the development process resulted in a seven-day daily reported activity diary that is comprehensive of children's movement behaviours and comprehensible to parents and carers.
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Affiliation(s)
- Sophie M Phillips
- Department of Sport and Exercise Sciences, Durham University, Durham City, UK.
- The Centre for Translational Research in Public Health (Fuse), Newcastle Upon Tyne, UK.
| | - Carolyn Summerbell
- Department of Sport and Exercise Sciences, Durham University, Durham City, UK
- The Centre for Translational Research in Public Health (Fuse), Newcastle Upon Tyne, UK
| | - Kathryn R Hesketh
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- Population Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Sonia Saxena
- School of Public Health, Imperial College London, London, UK
| | - Frances C Hillier-Brown
- The Centre for Translational Research in Public Health (Fuse), Newcastle Upon Tyne, UK
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
- Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne, UK
- Newcastle University Centre of Research Excellence in Healthier Lives, Newcastle University, Newcastle upon Tyne, UK
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14
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Giurgiu M, Ketelhut S, Kubica C, Nissen R, Doster AK, Thron M, Timm I, Giurgiu V, Nigg CR, Woll A, Ebner-Priemer UW, Bussmann JBJ. Assessment of 24-hour physical behaviour in adults via wearables: a systematic review of validation studies under laboratory conditions. Int J Behav Nutr Phys Act 2023; 20:68. [PMID: 37291598 DOI: 10.1186/s12966-023-01473-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 05/31/2023] [Indexed: 06/10/2023] Open
Abstract
BACKGROUND Wearable technology is used by consumers and researchers worldwide for continuous activity monitoring in daily life. Results of high-quality laboratory-based validation studies enable us to make a guided decision on which study to rely on and which device to use. However, reviews in adults that focus on the quality of existing laboratory studies are missing. METHODS We conducted a systematic review of wearable validation studies with adults. Eligibility criteria were: (i) study under laboratory conditions with humans (age ≥ 18 years); (ii) validated device outcome must belong to one dimension of the 24-hour physical behavior construct (i.e., intensity, posture/activity type, and biological state); (iii) study protocol must include a criterion measure; (iv) study had to be published in a peer-reviewed English language journal. Studies were identified via a systematic search in five electronic databases as well as back- and forward citation searches. The risk of bias was assessed based on the QUADAS-2 tool with eight signaling questions. RESULTS Out of 13,285 unique search results, 545 published articles between 1994 and 2022 were included. Most studies (73.8% (N = 420)) validated an intensity measure outcome such as energy expenditure; only 14% (N = 80) and 12.2% (N = 70) of studies validated biological state or posture/activity type outcomes, respectively. Most protocols validated wearables in healthy adults between 18 and 65 years. Most wearables were only validated once. Further, we identified six wearables (i.e., ActiGraph GT3X+, ActiGraph GT9X, Apple Watch 2, Axivity AX3, Fitbit Charge 2, Fitbit, and GENEActiv) that had been used to validate outcomes from all three dimensions, but none of them were consistently ranked with moderate to high validity. Risk of bias assessment resulted in 4.4% (N = 24) of all studies being classified as "low risk", while 16.5% (N = 90) were classified as "some concerns" and 79.1% (N = 431) as "high risk". CONCLUSION Laboratory validation studies of wearables assessing physical behaviour in adults are characterized by low methodological quality, large variability in design, and a focus on intensity. Future research should more strongly aim at all components of the 24-hour physical behaviour construct, and strive for standardized protocols embedded in a validation framework.
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Affiliation(s)
- Marco Giurgiu
- Department of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), Hertzstr. 16, 76187, Karlsruhe, Germany.
- Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany.
| | - Sascha Ketelhut
- Health Science Department, Institute of Sport Science, University of Bern, Bern, Switzerland
| | - Claudia Kubica
- Health Science Department, Institute of Sport Science, University of Bern, Bern, Switzerland
| | - Rebecca Nissen
- Department of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), Hertzstr. 16, 76187, Karlsruhe, Germany
| | - Ann-Kathrin Doster
- Department of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), Hertzstr. 16, 76187, Karlsruhe, Germany
| | - Maximiliane Thron
- Department of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), Hertzstr. 16, 76187, Karlsruhe, Germany
| | - Irina Timm
- Department of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), Hertzstr. 16, 76187, Karlsruhe, Germany
| | - Valeria Giurgiu
- Baden-Wuerttemberg Cooperative State University (DHBW), Karlsruhe, Germany
| | - Claudio R Nigg
- Sport Pedagogy Department, Institute of Sport Science, University of Bern, Bern, Switzerland
| | - Alexander Woll
- Department of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), Hertzstr. 16, 76187, Karlsruhe, Germany
| | - Ulrich W Ebner-Priemer
- Department of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), Hertzstr. 16, 76187, Karlsruhe, Germany
- Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany
| | - Johannes B J Bussmann
- Erasmus MC, Department of Rehabilitation medicine, University Medical Center Rotterdam, Rotterdam, Netherlands
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15
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Hulst RY, Gorter JW, Obeid J, Voorman JM, van Rijssen IM, Gerritsen A, Visser-Meily JMA, Pillen S, Verschuren O. Accelerometer-measured physical activity, sedentary behavior, and sleep in children with cerebral palsy and their adherence to the 24-hour activity guidelines. Dev Med Child Neurol 2023; 65:393-405. [PMID: 35833425 PMCID: PMC10084309 DOI: 10.1111/dmcn.15338] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 05/20/2022] [Accepted: 06/16/2022] [Indexed: 01/29/2023]
Abstract
AIM To measure and describe the 24-hour activities (i.e. physical activity, sedentary behavior, and sleep) and to examine adherence to the 24-hour activity guidelines among children with cerebral palsy (CP) using actigraphy. METHOD Children's 24-hour activities were recorded over 7 days using hip- and wrist-worn ActiGraph wGT3X-BT accelerometers. RESULTS In total, 362 days and 340 nights from 54 children with CP (Gross Motor Function Classification System [GMFCS] levels I-III; 44% females; median age [range] 6 years 6 months [3-12 years]) were included. Mean (SD) daily wear time was 746.2 (48.9) minutes, of which children spent on average 33.8% in light physical activity (251.6 [58.7] minutes per day), 5.2% in moderate-to-vigorous physical activity (38.5 [20.1] minutes per day), and the remaining 61.1% being sedentary (456.1 [80.4] minutes per day). Physical activity decreased while sedentary behavior increased with increasing GMFCS level. In total, 13% of all children met the physical activity recommendations, and 35% met the age-appropriate sleep duration recommendation. The proportion of children meeting the combined 24-hour guidelines for physical activity and sleep was low (5.9%), especially in those classified in GMFCS level III (0%). INTERPRETATION The observed low 24-hour guideline adherence rates emphasize the importance of considering the entire continuum of movement behaviors in the care of children with CP, in efforts to promote healthy lifestyle behaviors and prevent negative health outcomes.
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Affiliation(s)
- Raquel Y Hulst
- Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University and De Hoogstraat Rehabilitation, Utrecht, the Netherlands
| | - Jan Willem Gorter
- Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University and De Hoogstraat Rehabilitation, Utrecht, the Netherlands.,Department of Rehabilitation, Physical Therapy Science & Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands.,CanChild, Department of Pediatrics, McMaster University, Hamilton, Canada
| | - Joyce Obeid
- Child Health & Exercise Medicine Program, Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Jeanine M Voorman
- Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University and De Hoogstraat Rehabilitation, Utrecht, the Netherlands.,Department of Rehabilitation, Physical Therapy Science & Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands
| | - Ilse M van Rijssen
- Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University and De Hoogstraat Rehabilitation, Utrecht, the Netherlands
| | - Anke Gerritsen
- Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University and De Hoogstraat Rehabilitation, Utrecht, the Netherlands
| | - Johanna M A Visser-Meily
- Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University and De Hoogstraat Rehabilitation, Utrecht, the Netherlands.,Department of Rehabilitation, Physical Therapy Science & Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands
| | - Sigrid Pillen
- Kinderslaapexpert BV (Pediatric Sleep Expert Ltd), Mook, the Netherlands.,Department of Electrical Engineering, Technical University Eindhoven, Eindhoven, the Netherlands
| | - Olaf Verschuren
- Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University and De Hoogstraat Rehabilitation, Utrecht, the Netherlands.,Department of Rehabilitation, Physical Therapy Science & Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands
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16
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Siwa M, Szczuka Z, Banik A, Kulis E, Boberska M, Wietrzykowska D, Knoll N, DeLongis A, Knäuper B, Luszczynska A. The Dyadic Interplay Between Relationship Satisfaction, Perceived Positive and Negative Social Control, and a Reduction of Sedentary Behavior Time. Ann Behav Med 2023; 57:165-174. [PMID: 35849339 DOI: 10.1093/abm/kaac032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Both the close relationship processes and health model and the dyadic health influence model posit that beliefs about the relationship (e.g., relationship satisfaction) and influence strategies (e.g., social control) serve as mediators of health behavior change. The evidence for such mediation is limited. PURPOSE This study investigated two competing hypotheses that arise from these models: (1) perceived use of positive and negative social control (attempts to influence the partner's behaviors) predict sedentary behavior (SB) indirectly, via relationship satisfaction; or (2) relationship satisfaction predicts SB indirectly, via positive and negative social control. METHODS Data from 320 dyads (target persons and their partners, aged 18-90 years), were analyzed using mediation models. SB time was measured with GT3X-BT accelerometers at Time 1 (T1; baseline) and Time 3 (T3; 8 months following baseline). Relationship satisfaction and social control were assessed at T1 and Time 2 (T2; 2 months following baseline). RESULTS Higher T1 relationship satisfaction among target persons predicted target persons' reporting of higher T2 negative control from partners, which in turn predicted lower T3 SB time among target persons. Lower T1 relationship satisfaction among partners predicted target persons' reporting of higher T2 perceived negative control from partners, which predicted lower T3 SB time among target persons. On average, both members of the dyad reported moderate-to-high relationship satisfaction and low-to-moderate negative control. CONCLUSIONS In contrast to very low levels of negative control, its low-to-moderate levels may be related to beneficial behavioral effects (lower SB time) among target persons reporting moderate-to-high relationship satisfaction.
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Affiliation(s)
- Maria Siwa
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Zofia Szczuka
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Anna Banik
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Ewa Kulis
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Monika Boberska
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Dominika Wietrzykowska
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Nina Knoll
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Anita DeLongis
- Department of Psychology, University of British Columbia, Vancouver, Canada
| | - Bärbel Knäuper
- Department of Psychology, McGill University, Montreal, Canada
| | - Aleksandra Luszczynska
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland.,Melbourne Centre for Behavior Change, Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
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17
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The Sleep Parameters of Paralympic Athletes: Characteristics and Assessment Instruments. J Sport Rehabil 2023; 32:203-214. [PMID: 36150706 DOI: 10.1123/jsr.2021-0407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 04/08/2022] [Accepted: 06/30/2022] [Indexed: 02/07/2023]
Abstract
CONTEXT Sleep serves many important functions for athletes, particularly in the processes of learning, memory, recovery, and cognition. OBJECTIVES Define the sleep parameters of Paralympic athletes and identify the instruments used to assess and monitor sleep Paralympic athletes. EVIDENCE ACQUISITION This systematic review was carried out based on the PRISMA guidelines. The survey was conducted in April 2020, the searches were carried out again in September 2021 to check whether there were new scientific publications in the area of sleep and Paralympic sport, searches were performed in the following databases: PubMed, Web of Science, Scopus, SPORTDiscus, Virtual Health Library (BIREME), and SciELO. This systematic review has included studies that investigated at least one of the following sleep parameters: total sleep time, sleep latency, sleep efficiency, number of awakenings, quality of sleep, daytime sleepiness, and chronotype; the participants were comprised of athletes with disabilities. Studies published at any time in English, Portuguese, and Spanish, were included. EVIDENCE SYNTHESIS Data extraction and study selection were performed by 2 researchers independently, and a third author was consulted as necessary. The search returned a total of 407 studies. Following the screening based on exclusion and inclusion criteria, a total of 13 studies were considered. Paralympic athletes have a low amount (7.06 h) of sleep with poor quality and sleep latency (28.05 min), and 57.2% have daytime sleepiness, with the majority belonging to the indifferent chronotype (53, 5%). Moreover, 11 studies assess sleep using subjective instruments (questionnaires), and 2 studies used an objective instrument (actigraphy). CONCLUSIONS Sleep disorders are common among Paralympic athletes, poor sleep quality and quantity, and high rates of daytime sleepiness. Subjective methods are most commonly used to assess sleep.
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Mavragani A, Whitehead L, Quigley E, Stanley M. The Role of Dysfunctional Sleep Beliefs in Mediating the Outcomes of Web-Based Cognitive Behavioral Therapy for Insomnia in Community-Dwelling Older Adults: Protocol for a Single-Group, Nonrandomized Trial. JMIR Res Protoc 2022; 11:e32705. [PMID: 36574272 PMCID: PMC9832352 DOI: 10.2196/32705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 10/23/2022] [Accepted: 11/18/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Sleeping well is an essential part of good health. Older adult populations report a high rate of sleep problems, with recent studies suggesting that cognitive processes as well as behavioral and hyperarousal-related mechanisms could be important factors in the development and maintenance of insomnia. Individuals who have an asynchronous or uncoupled sleep pattern and sleep appraisal-those who complain about their sleep but do not have poor sleep quality, and vice versa-might show differences in subjective sleep and sleep perceptions and other characteristics that could impact their treatment outcomes following cognitive behavioral therapy for insomnia (CBT-I). OBJECTIVE The purpose of this protocol is to describe the rationale and methods for a nonrandomized, single-arm trial assessing objective and subjective sleep quality in community-dwelling older adults aged 60-80 years with synchronous sleep patterns and sleep appraisal compared to those in older adults with asynchronous sleep patterns and sleep appraisal. The trial will further examine the role of cognitive, behavioral, and hyperarousal processes in mediating the treatment outcomes of web-based CBT-I. METHODS This trial aims to recruit a sample of 60 participants, who will be assigned to 1 of 4 sleep groups based on their sleep pattern and sleep appraisal status: complaining good sleepers, complaining poor sleepers, noncomplaining good sleepers, and noncomplaining poor sleepers, respectively. The trial will be completed in 2 phases: phase 1 will assess objective sleep (measured via wrist actigraphy) and subjective (self-reported) sleep. Phase 2 will investigate the impact of a web-based CBT-I program on the sleep outcomes of individuals with uncoupled sleep compared to that of individuals without uncoupled sleep, as well as the mediators of CBT-I. RESULTS Recruitment began in March 2020, and the last participants were recruited by March 2021. A total of 65 participants completed phases 1 and 2. Data analysis for phase 1 was finished in December 2021, and data analysis for phase 2 was finalized in July 2022. The results for phase 1 were submitted for publication in March 2022, and those for phase 2 will be submitted by the end of December 2022. CONCLUSIONS This trial will provide guidance on factors that contribute to the variability of sleep in older adults and their sleep outcomes following CBT-I. The outcomes of this study could be valuable for future research attempting to tailor CBT-I to individual needs. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12619001509156; https://tinyurl.com/69hhdu2w. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/32705.
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Affiliation(s)
| | - Lisa Whitehead
- School of Nursing and Midwifery, Edith Cowan University, Joondalup, Australia
| | - Eimear Quigley
- School of Arts and Humanities, Edith Cowan University, Joondalup, Australia
| | - Mandy Stanley
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
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19
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Szczuka Z, Kulis E, Boberska M, Banik A, Siwa M, Zaleskiewicz H, Knoll N, Revenson TA, Luszczynska A. Dyadic reciprocal associations between self-efficacy and planning predict sedentary behaviour. Br J Health Psychol 2022; 28:451-466. [PMID: 36333942 DOI: 10.1111/bjhp.12633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 10/20/2022] [Accepted: 10/23/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVES There are two alternative hypotheses regarding bidirectional associations between self-efficacy and planning in predicting health behaviour change: self-efficacy may establish planning (cultivation hypothesis) or planning may enable the formation of self-efficacy (enabling hypothesis). This study investigates the order in which these two social cognitions are linked in adult-adult dyads in the context of sedentary behaviours (SB). DESIGN A longitudinal study with 4 measurement points, spanning 8 months. METHODS A total of 320 dyads (age: 18-90 years) were enrolled. Dyads included a focus person (who received the recommendation to reduce SB and intended to change their SB), and their partners, who were willing to support the focus persons and intended to reduce their own SB as well. Data were collected at Time 1 (T1), Time 2 (1 week later, T2), Time 3 (T3, 2 months after T1) and Time 4 (T4, 8 months after T1). SB was measured with accelerometers at (T1 and T4). Mediation models with individual and dyadic reciprocal effects were tested with path analyses. RESULTS Only one indirect effect was found: A higher level of partners' SB reduction-specific self-efficacy at T2 was related to the focus person's more frequent planning to reduce SB at T3, which, in turn, predicted lower SB time among partners at T4. CONCLUSIONS The findings provide partial support for the cultivation model (self-efficacy prompting planning) and for dyadic reciprocal associations in the context of SB time reduction among adult dyads.
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Affiliation(s)
- Zofia Szczuka
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Ewa Kulis
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Monika Boberska
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Anna Banik
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Maria Siwa
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Hanna Zaleskiewicz
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland
| | - Nina Knoll
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Tracey A Revenson
- Department of Psychology, Hunter College and the Graduate Center, City University of New York, New York, New York, USA
| | - Aleksandra Luszczynska
- Wroclaw Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland.,Melbourne Centre for Behavior Change, Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia
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20
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Hedayatrad L, Stewart T, Paine SJ, Marks E, Walker C, Duncan S. Sociodemographic differences in 24-hour time-use behaviours in New Zealand children. Int J Behav Nutr Phys Act 2022; 19:131. [PMID: 36195954 PMCID: PMC9531491 DOI: 10.1186/s12966-022-01358-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 08/25/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The time that children spend in physical activity, sedentary behaviour, and sleep each day (i.e., 24-h time-use behaviours), is related to physical and mental health outcomes. Currently, there is no comprehensive evidence on New Zealand school-aged children's 24-h time-use behaviours, adherence to the New Zealand 24-h Movement Guidelines, and how these vary among different sociodemographic groups. METHODS This study utilises data from the 8-year wave of the Growing Up in New Zealand longitudinal study. Using two Axivity AX3 accelerometers, children's 24-h time-use behaviours were described from two perspectives: activity intensity and activity type. Compositional data analysis techniques were used to explore the differences in 24-h time-use compositions across various sociodemographic groups. RESULTS Children spent on average, 31.1%, 22.3%, 6.8%, and 39.8% of their time in sedentary, light physical activity, moderate-to-vigorous physical activity, and sleep, respectively. However, the daily distribution of time in different activity types was 33.2% sitting, 10.8% standing, 7.3% walking, 0.4% running, and 48.2% lying. Both the activity intensity and activity type compositions varied across groups of child ethnicity, gender, and household income or deprivation. The proportion of children meeting each of the guidelines was 90% for physical activity, 62.5% for sleep, 16% for screen time, and 10.6% for the combined guidelines. Both gender and residence location (i.e., urban vs. rural) were associated with meeting the physical activity guideline, whereas child ethnicity, mother's education and residence location were associated with meeting the screen time guideline. Child ethnicity and mother's education were also significantly associated with the adherence to the combined 24-h Movement Guidelines. CONCLUSIONS This study provided comprehensive evidence on how New Zealand children engage in 24-h time-use behaviours, adherence to the New Zealand 24-h Movement Guidelines, and how these behaviours differ across key sociodemographic groups. These findings should be considered in designing future interventions for promoting healthy time-use patterns in New Zealand children.
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Affiliation(s)
- Leila Hedayatrad
- School of Sport and Recreation, Department of Behavioural Nutrition and Physical Activity, Auckland University of Technology, Auckland, New Zealand.
| | - Tom Stewart
- School of Sport and Recreation, Department of Behavioural Nutrition and Physical Activity, Auckland University of Technology, Auckland, New Zealand
| | - Sarah-Jane Paine
- Te Kupenga Hauora Māori, University of Auckland, Auckland, New Zealand
| | - Emma Marks
- Growing Up in New Zealand, School of Population Health, University of Auckland, Auckland, New Zealand
| | - Caroline Walker
- Growing Up in New Zealand, School of Population Health, University of Auckland, Auckland, New Zealand
| | - Scott Duncan
- School of Sport and Recreation, Department of Behavioural Nutrition and Physical Activity, Auckland University of Technology, Auckland, New Zealand
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21
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Davis-Wilson HC, Thoma LM, Johnston CD, Young E, Evans-Pickett A, Spang JT, Blackburn JT, Hackney AC, Pietrosimone B. Fewer daily steps are associated with greater cartilage oligomeric matrix protein response to loading post-ACL reconstruction. J Orthop Res 2022; 40:2248-2257. [PMID: 35060165 DOI: 10.1002/jor.25268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 08/19/2021] [Accepted: 01/06/2022] [Indexed: 02/04/2023]
Abstract
Aberrant joint loading contributes to the development of posttraumatic knee osteoarthritis (PTOA) following anterior cruciate ligament reconstruction (ACLR); yet little is known about the association between joint loading due to daily walking and cartilage health post-ACLR. Accelerometer-based measures of daily steps and cadence (i.e., rate of steps/min) provide information regarding daily walking in a real-world setting. The purpose of this study was to determine the association between changes in serum cartilage oligomeric matrix protein (COMP; %∆COMP), a mechanosensitive biomarker that is associated with osteoarthritis progression, following a standardized walking protocol and daily walking in individuals with ACLR and uninjured controls. Daily walking was assessed over 7 days using an accelerometer worn on the right hip in 31 individuals with ACLR and 21 controls and quantified as mean steps/day and time spent in ≥100 steps/min. Serum COMP was measured before and following a 3000-step walking protocol at a preferred speed. %∆COMP was calculated as a change in COMP relative to the prewalking value. Linear regressions were used to examine associations between daily walking and %∆COMP after adjusting for preferred speed. Fewer daily steps (ΔR2 = 0.18, p = 0.02) and fewer minutes spent in ≥100 steps/min (ΔR2 = 0.16, p = 0.03) were associated with greater %∆COMP following walking in individuals with ACLR; no statistically significant associations existed in controls (daily steps: ΔR2 = 0.03, p = 0.47; time ≥100 steps/min: ΔR2 < 0.01, p = 0.81). Clinical significance: Individuals with ACLR who engage in less daily walking undergo greater %ΔCOMP, which may represent greater cartilage degradation or turnover in response to walking.
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Affiliation(s)
- Hope C Davis-Wilson
- Department of Exercise and Sport Science, MOTION Science Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Allied Health Sciences, Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Louise M Thoma
- Department of Allied Health Sciences, Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Division of Physical Therapy, Department of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Christopher D Johnston
- Department of Exercise and Sport Science, MOTION Science Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Allied Health Sciences, Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Emma Young
- Department of Exercise and Sport Science, MOTION Science Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Athletic Training Program, The Steadman Clinic, Vail, Colorado, USA
| | - Alyssa Evans-Pickett
- Department of Exercise and Sport Science, MOTION Science Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Allied Health Sciences, Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jeffrey T Spang
- Department of Orthopaedics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - J Troy Blackburn
- Department of Exercise and Sport Science, MOTION Science Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Allied Health Sciences, Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Orthopaedics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Anthony C Hackney
- Department of Exercise and Sport Science, MOTION Science Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Allied Health Sciences, Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Brian Pietrosimone
- Department of Exercise and Sport Science, MOTION Science Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Allied Health Sciences, Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Orthopaedics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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22
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Kiema-Junes H, Saarinen A, Korpelainen R, Kangas M, Ala-Mursula L, Pyky R, Hintsanen M. More Physical Activity, More Work Engagement? A Northern Finland Birth Cohort 1966 Study. J Occup Environ Med 2022; 64:541-549. [PMID: 35260539 PMCID: PMC9301987 DOI: 10.1097/jom.0000000000002530] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To examine the role of physical activity (PA) and sedentary behavior (SED) for work engagement. METHODS We used data from Northern Finland Birth Cohort 1966 Study ( n = 3046 to 4356) to analyze self-reported weekly leisure-time physical activity (LTPA), daily leisure-time sitting time (LTST) and work engagement. PA and SED 24-hour were also measured with accelerometer for 14 days. The data were analyzed using linear regression analyses. RESULTS High self-reported LTPA and sports participation were associated with higher work engagement and its subdimensions. High self-reported ST was associated with lower work engagement, vigor, and absorption. Accelerometer-measured light PA was associated with higher work engagement and vigor, and accelerometermeasured steps were linked to higher vigor. Accelerometer-measured SED was associated with lower work engagement, vigor, and dedication. CONCLUSIONS Self-reported and accelerometer-measured PA and SED may play a role in people's work engagement.
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Affiliation(s)
- Heli Kiema-Junes
- From the Unit of Psychology, Faculty of Education, University of Oulu, Oulu, Finland (Dr Kiema-Junes and Dr Hintsanen); Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland (Dr Saarinen); Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr, Oulu, Finland; Institute of Health Sciences, University of Oulu and University of Hospital of Oulu, Oulu, Finland (Dr Korpelainen and Dr Pyky); Northern Finland Birth Cohorts, Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland (Dr Kangas); Center for Life Course Health Research, University of Oulu, Oulu, Finland (Dr Ala-Mursula)
| | - Aino Saarinen
- From the Unit of Psychology, Faculty of Education, University of Oulu, Oulu, Finland (Dr Kiema-Junes and Dr Hintsanen); Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland (Dr Saarinen); Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr, Oulu, Finland; Institute of Health Sciences, University of Oulu and University of Hospital of Oulu, Oulu, Finland (Dr Korpelainen and Dr Pyky); Northern Finland Birth Cohorts, Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland (Dr Kangas); Center for Life Course Health Research, University of Oulu, Oulu, Finland (Dr Ala-Mursula)
| | - Raija Korpelainen
- From the Unit of Psychology, Faculty of Education, University of Oulu, Oulu, Finland (Dr Kiema-Junes and Dr Hintsanen); Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland (Dr Saarinen); Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr, Oulu, Finland; Institute of Health Sciences, University of Oulu and University of Hospital of Oulu, Oulu, Finland (Dr Korpelainen and Dr Pyky); Northern Finland Birth Cohorts, Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland (Dr Kangas); Center for Life Course Health Research, University of Oulu, Oulu, Finland (Dr Ala-Mursula)
| | - Maarit Kangas
- From the Unit of Psychology, Faculty of Education, University of Oulu, Oulu, Finland (Dr Kiema-Junes and Dr Hintsanen); Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland (Dr Saarinen); Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr, Oulu, Finland; Institute of Health Sciences, University of Oulu and University of Hospital of Oulu, Oulu, Finland (Dr Korpelainen and Dr Pyky); Northern Finland Birth Cohorts, Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland (Dr Kangas); Center for Life Course Health Research, University of Oulu, Oulu, Finland (Dr Ala-Mursula)
| | - Leena Ala-Mursula
- From the Unit of Psychology, Faculty of Education, University of Oulu, Oulu, Finland (Dr Kiema-Junes and Dr Hintsanen); Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland (Dr Saarinen); Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr, Oulu, Finland; Institute of Health Sciences, University of Oulu and University of Hospital of Oulu, Oulu, Finland (Dr Korpelainen and Dr Pyky); Northern Finland Birth Cohorts, Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland (Dr Kangas); Center for Life Course Health Research, University of Oulu, Oulu, Finland (Dr Ala-Mursula)
| | - Riitta Pyky
- From the Unit of Psychology, Faculty of Education, University of Oulu, Oulu, Finland (Dr Kiema-Junes and Dr Hintsanen); Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland (Dr Saarinen); Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr, Oulu, Finland; Institute of Health Sciences, University of Oulu and University of Hospital of Oulu, Oulu, Finland (Dr Korpelainen and Dr Pyky); Northern Finland Birth Cohorts, Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland (Dr Kangas); Center for Life Course Health Research, University of Oulu, Oulu, Finland (Dr Ala-Mursula)
| | - Mirka Hintsanen
- From the Unit of Psychology, Faculty of Education, University of Oulu, Oulu, Finland (Dr Kiema-Junes and Dr Hintsanen); Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland (Dr Saarinen); Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr, Oulu, Finland; Institute of Health Sciences, University of Oulu and University of Hospital of Oulu, Oulu, Finland (Dr Korpelainen and Dr Pyky); Northern Finland Birth Cohorts, Arctic Biobank, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland (Dr Kangas); Center for Life Course Health Research, University of Oulu, Oulu, Finland (Dr Ala-Mursula)
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23
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Ribeiro AGSV, Crisp AH, Ravelli MN, de Oliveira MRM, Verlengia R. Lack of validity of free-living physical activity energy expenditure estimated from ActiGraph equations in severely obese women: A doubly labelled water study. J Sports Sci 2022; 40:1552-1557. [PMID: 35723662 DOI: 10.1080/02640414.2022.2091346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The current study aimed to investigate the validity of three ActiGraph predictive equations that are available to estimate free-living physical activity energy expenditure (PAEE) in women with severe obesity. The study included 20 women with class III obesity (age: 22-38 years). During 14 days of free-living conditions, total energy expenditure was measured using the doubly labelled water method; in addition, participants wore a triaxial accelerometer (model GT3X+) on the hip. The resting metabolic rate was measured by indirect calorimetry. At group level, the Freedson VM3 Combination was found to be more precise (bias = -61 kcal/day) than the Williams Work-Energy (bias = -283 kcal/day) and the Freedson Combination equations (bias = -186 kcal/day) for estimating PAEE. However, the three predictive equations had a wider limit of agreement (Williams Work-Energy [258, -824 kcal/day], Freedson Combination equations [324, -697 kcal/day] and Freedson VM3 Combination [424, -546 kcal/day]), indicating great uncertainty of the estimate. In conclusion, a wide variation was observed in the performance of different ActiGraph equations in estimating free-living PAEE among women with class III obesity. Therefore, our data do not support the use of these equations, and more studies are needed to improve predictive performance in free-living conditions.
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Affiliation(s)
| | - Alex Harley Crisp
- Program in Human Movement Sciences, Methodist University of Piracicaba - UNIMEPPost-Graduate, Piracicaba, Brazil
| | - Michele Novaes Ravelli
- Department of Neurology and Biotechnology Center, University of Wisconsin, Madison, WI, USA
| | | | - Rozangela Verlengia
- Program in Human Movement Sciences, Methodist University of Piracicaba - UNIMEPPost-Graduate, Piracicaba, Brazil
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24
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Giurgiu M, Timm I, Becker M, Schmidt S, Wunsch K, Nissen R, Davidovski D, Bussmann JBJ, Nigg CR, Reichert M, Ebner-Priemer UW, Woll A, von Haaren-Mack B. Quality Evaluation of Free-living Validation Studies for the Assessment of 24-Hour Physical Behavior in Adults via Wearables: Systematic Review. JMIR Mhealth Uhealth 2022; 10:e36377. [PMID: 35679106 PMCID: PMC9227659 DOI: 10.2196/36377] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/27/2022] [Accepted: 04/29/2022] [Indexed: 12/13/2022] Open
Abstract
Background Wearable technology is a leading fitness trend in the growing commercial industry and an established method for collecting 24-hour physical behavior data in research studies. High-quality free-living validation studies are required to enable both researchers and consumers to make guided decisions on which study to rely on and which device to use. However, reviews focusing on the quality of free-living validation studies in adults are lacking. Objective This study aimed to raise researchers’ and consumers’ attention to the quality of published validation protocols while aiming to identify and compare specific consistencies or inconsistencies between protocols. We aimed to provide a comprehensive and historical overview of which wearable devices have been validated for which purpose and whether they show promise for use in further studies. Methods Peer-reviewed validation studies from electronic databases, as well as backward and forward citation searches (1970 to July 2021), with the following, required indicators were included: protocol must include real-life conditions, outcome must belong to one dimension of the 24-hour physical behavior construct (intensity, posture or activity type, and biological state), the protocol must include a criterion measure, and study results must be published in English-language journals. The risk of bias was evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 tool with 9 questions separated into 4 domains (patient selection or study design, index measure, criterion measure, and flow and time). Results Of the 13,285 unique search results, 222 (1.67%) articles were included. Most studies (153/237, 64.6%) validated an intensity measure outcome such as energy expenditure. However, only 19.8% (47/237) validated biological state and 15.6% (37/237) validated posture or activity-type outcomes. Across all studies, 163 different wearables were identified. Of these, 58.9% (96/163) were validated only once. ActiGraph GT3X/GT3X+ (36/163, 22.1%), Fitbit Flex (20/163, 12.3%), and ActivPAL (12/163, 7.4%) were used most often in the included studies. The percentage of participants meeting the quality criteria ranged from 38.8% (92/237) to 92.4% (219/237). On the basis of our classification tree to evaluate the overall study quality, 4.6% (11/237) of studies were classified as low risk. Furthermore, 16% (38/237) of studies were classified as having some concerns, and 72.9% (173/237) of studies were classified as high risk. Conclusions Overall, free-living validation studies of wearables are characterized by low methodological quality, large variability in design, and focus on intensity. Future research should strongly aim at biological state and posture or activity outcomes and strive for standardized protocols embedded in a validation framework. Standardized protocols for free-living validation embedded in a framework are urgently needed to inform and guide stakeholders (eg, manufacturers, scientists, and consumers) in selecting wearables for self-tracking purposes, applying wearables in health studies, and fostering innovation to achieve improved validity.
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Affiliation(s)
- Marco Giurgiu
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Irina Timm
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Marlissa Becker
- Unit Physiotherapy, Department of Orthopedics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Steffen Schmidt
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Kathrin Wunsch
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Rebecca Nissen
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Denis Davidovski
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Johannes B J Bussmann
- Department of Rehabilitation Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Claudio R Nigg
- Health Science Department, Institute of Sport Science, University of Bern, Bern, Switzerland
| | - Markus Reichert
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.,Department of eHealth and Sports Analytics, Faculty of Sport Science, Ruhr-University Bochum, Bochum, Germany
| | - Ulrich W Ebner-Priemer
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Alexander Woll
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Birte von Haaren-Mack
- Department of Health and Social Psychology, Institute of Psychology, German Sport University, Cologne, Germany
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25
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Giurgiu M, Kolb S, Nigg C, Burchartz A, Timm I, Becker M, Rulf E, Doster AK, Koch E, Bussmann JBJ, Nigg C, Ebner-Priemer UW, Woll A. Assessment of 24-hour physical behaviour in children and adolescents via wearables: a systematic review of free-living validation studies. BMJ Open Sport Exerc Med 2022; 8:e001267. [PMID: 35646389 PMCID: PMC9109110 DOI: 10.1136/bmjsem-2021-001267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2022] [Indexed: 11/17/2022] Open
Abstract
Objectives Studies that assess all three dimensions of the integrative 24-hour physical behaviour (PB) construct, namely, intensity, posture/activity type and biological state, are on the rise. However, reviews on validation studies that cover intensity, posture/activity type and biological state assessed via wearables are missing. Design Systematic review. The risk of bias was evaluated by using the QUADAS-2 tool with nine signalling questions separated into four domains (ie, patient selection/study design, index measure, criterion measure, flow and time). Data sources Peer-reviewed validation studies from electronic databases as well as backward and forward citation searches (1970–July 2021). Eligibility criteria for selecting studies Wearable validation studies with children and adolescents (age <18 years). Required indicators: (1) study protocol must include real-life conditions; (2) validated device outcome must belong to one dimension of the 24-hour PB construct; (3) the study protocol must include a criterion measure; (4) study results must be published in peer-reviewed English language journals. Results Out of 13 285 unique search results, 76 articles with 51 different wearables were included and reviewed. Most studies (68.4%) validated an intensity measure outcome such as energy expenditure, but only 15.9% of studies validated biological state outcomes, while 15.8% of studies validated posture/activity type outcomes. We identified six wearables that had been used to validate outcomes from two different dimensions and only two wearables (ie, ActiGraph GT1M and ActiGraph GT3X+) that validated outcomes from all three dimensions. The percentage of studies meeting a given quality criterion ranged from 44.7% to 92.1%. Only 18 studies were classified as ‘low risk’ or ‘some concerns’. Summary Validation studies on biological state and posture/activity outcomes are rare in children and adolescents. Most studies did not meet published quality principles. Standardised protocols embedded in a validation framework are needed. PROSPERO registration number CRD42021230894.
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Affiliation(s)
- Marco Giurgiu
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Germany
| | - Simon Kolb
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Carina Nigg
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.,Department of Sport Pedagogy, University of Bern, Bern, Switzerland
| | - Alexander Burchartz
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Irina Timm
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Marlissa Becker
- Department of Orthopedics, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ellen Rulf
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Ann-Kathrin Doster
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Elena Koch
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Johannes B J Bussmann
- Department of Rehabilitation Medicine and Physical Therapy, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Claudio Nigg
- Department of Health Science, University of Bern, Bern, Switzerland
| | - Ulrich W Ebner-Priemer
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Germany.,Department of Sports and Sports Science, Institute of Sports and Sports Science, Karlsruhe, Germany
| | - Alexander Woll
- Department of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
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Phillips SM, Summerbell C, Hesketh KR, Saxena S, Hillier-Brown FC. Parental Views on the Acceptability and Feasibility of Measurement Tools Used to Assess Movement Behaviour of Pre-School Children: A Qualitative Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:3733. [PMID: 35329419 PMCID: PMC8949363 DOI: 10.3390/ijerph19063733] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 03/16/2022] [Accepted: 03/17/2022] [Indexed: 12/04/2022]
Abstract
Movement behaviours (physical activity, sedentary behaviour, and sleep) are important for the health and development of pre-school children (aged 3-4 years). There is limited qualitative research examining the acceptability and feasibility of tools used to assess movement behaviours in pre-schoolers. This study explored parental views on various measurement tools in three deprived areas in England, UK (West Yorkshire, County Durham and Northumberland). The study consisted of a demonstration of the different tools (accelerometers, a diary and a questionnaire), directly followed by focus group discussions. Three focus group discussions with a total of eleven parents and carers were transcribed verbatim and analysed using thematic analysis. Findings revealed four main themes: (1) importance of contextual information when using any measurement tool (e.g., child illness, capturing different routines); (2) practical issues associated with devices (e.g., aversion to devices being attached directly to the skin of their child; concern of larger devices during sleep time); (3) encouraging children to wear a device (e.g., making devices attractive to children-'superpowers'); and (4) presentation of diaries and questionnaires (e.g., age-appropriate movement activities, preference for real-time recording over recall). Practical recommendations for the use of the tools to measure movement behaviours of pre-school children are provided.
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Affiliation(s)
- Sophie M. Phillips
- Department of Sport and Exercise Sciences, Durham University, Durham DH1 3HN, UK;
- The Centre for Translational Research in Public Health (Fuse), Newcastle University, Newcastle upon Tyne NE1 7RU, UK;
| | - Carolyn Summerbell
- Department of Sport and Exercise Sciences, Durham University, Durham DH1 3HN, UK;
- The Centre for Translational Research in Public Health (Fuse), Newcastle University, Newcastle upon Tyne NE1 7RU, UK;
| | - Kathryn R. Hesketh
- MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK;
- Population Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London WC1N 1EH, UK
| | - Sonia Saxena
- School of Public Health, Imperial College London, London W6 8RP, UK;
| | - Frances C. Hillier-Brown
- The Centre for Translational Research in Public Health (Fuse), Newcastle University, Newcastle upon Tyne NE1 7RU, UK;
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4AX, UK
- Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
- Newcastle University Centre of Research Excellence in Healthier Lives, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
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27
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López-Gil JF. The Eating Healthy and Daily Life Activities (EHDLA) Study. CHILDREN (BASEL, SWITZERLAND) 2022; 9:370. [PMID: 35327742 PMCID: PMC8947596 DOI: 10.3390/children9030370] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/18/2021] [Accepted: 03/03/2022] [Indexed: 12/21/2022]
Abstract
BACKGROUND Childhood obesity is one of the greatest public health concerns facing advanced societies, Spain being one of the countries with the highest incidence. In this sense, the Region of Murcia has been pointed out as the Spanish autonomous community with the highest prevalence of excess weight among young people. More specifically, the Valle de Ricote has shown an even greater proportion of excess weight among young people. Several sociodemographic, environmental, lifestyle, health-related, cognitive, and psychological factors are related to excess weight. Based on the lack of information, this research project will try to provide relevant information to design intervention programs, as well as to implement effective public policies to try and reverse this alarming situation. Therefore, this research project aims (1) to obtain cross-sectional and longitudinal data on the excess weight and their potential sociodemographic, environmental, lifestyle, health-related, cognitive, and psychological factors associated among adolescents from the Valle de Ricote (Region of Murcia, Spain) (aged 12-17 years), and (2) to examine the association between excess weight and their potential sociodemographic, environmental, lifestyle, health-related, cognitive, and psychological factors associated among this population. METHODS A cross-sectional study and follow-up study will be performed. This research project will involve adolescents using a simple random sampling technique. A total of three secondary schools from the Valle de Ricote (Region of Murcia, Spain) will be included in this project. The minimum sample size will be 1138, establishing a 95% confidence interval, a 40% prevalence of excess weight, a 3% margin of error, and a non-response rate of 10%. Primary outcome measures will be: (1) anthropometric measurements, (2) sociodemographic factors, (3) environmental factors, (4) lifestyle factors, (5) health-related factors, (6) cognitive factors, and (7) psychological factors. CONCLUSION This research project will aim to determine the prevalence of excess weight and interrelate their potential sociodemographic, environmental, lifestyle, health-related, cognitive, and psychological factors associated. The obtained results will help to manage and propose possible multidisciplinary interventions and strategies in order to prevent and reduce the excess weight in adolescents from the Valle de Ricote. Furthermore, orientations will be given to transfer the obtained results to the public sector to evaluate or change the adopted policies.
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Affiliation(s)
- José Francisco López-Gil
- Departamento de Expresión Plástica, Musical y Dinámica, Facultad de Educación, Universidad de Murcia (UM), 30100 Murcia, Spain;
- Health and Social Research Center, Universidad de Castilla-La Mancha (UCLM), 16071 Cuenca, Spain
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28
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Mograss M, Abi‐Jaoude J, Frimpong E, Chalati D, Moretto U, Tarelli L, Lim A, Dang‐Vu TT. The effects of napping on night‐time sleep in healthy young adults. J Sleep Res 2022; 31:e13578. [PMID: 35253300 DOI: 10.1111/jsr.13578] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/19/2022] [Accepted: 02/16/2022] [Indexed: 11/29/2022]
Abstract
The discrepancies in the effects of napping on sleep quality may be due to differences in methodologies, napping behaviours, and daytime activity levels across studies. We determined whether napping behaviours and daytime activity levels are associated with night-time sleep fragmentation and sleep quality in young adults. A total of 62 healthy adults (mean [SD] age 23.5 [4.2] years) completed screening questionnaires for sleep habits, physical activity, medical and psychological history. Actigraphy was used to record sleep including naps. The fragmentation algorithm (KRA ) was applied to the actigraphic data to measure night-time sleep fragmentation. We classified participants' nap frequency as "non-nappers" (0 naps/8 days), "moderate nappers" (1-2 naps/8 days) or "frequent nappers" (≥3 naps/8 days) naps. Nap duration was defined as "short" (≤60 min) or "long" (>60 min). Naps' proximity to the night sleep episode was defined as "early" (≥7 h) and "late" (<7 h) naps. Outcome variables were night-time KRA and actigraphic sleep variables. Frequent nappers had a significantly higher KRA than moderate nappers (p < 0.01) and non-nappers (p < 0.02). Late naps were associated with poorer measures of night sleep quality versus early naps (all p ≤ 0.02). Nap duration and daytime activity were not associated with significant differences in the outcome variables (all p > 0.05). KRA correlated with sleep duration, sleep efficiency, and awakenings (r = -0.32, -0.32, and 0.53, respectively; all p < 0.05). Frequent napping and late naps may be associated with increased sleep fragmentation and poorer sleep quality, reflected in longer sleep onsets and increased awakenings. These findings have implications for public health sleep hygiene recommendations.
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Affiliation(s)
- Melodee Mograss
- Department of Psychology Concordia University Montreal Quebec Canada
- Department of Health Kinesiology and Applied Physiology Concordia University Montreal Quebec Canada
- Concordia University PERFORM Centre Montreal Quebec Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal Montreal Quebec Canada
| | - Joanne Abi‐Jaoude
- Department of Psychology Concordia University Montreal Quebec Canada
- Concordia University PERFORM Centre Montreal Quebec Canada
| | - Emmanuel Frimpong
- Department of Health Kinesiology and Applied Physiology Concordia University Montreal Quebec Canada
| | - Diaa Chalati
- Concordia University PERFORM Centre Montreal Quebec Canada
| | | | - Lukia Tarelli
- Department of Psychology Concordia University Montreal Quebec Canada
- Concordia University PERFORM Centre Montreal Quebec Canada
| | - Andrew Lim
- Sunnybrook Health Sciences Centre University of Toronto Toronto Ontario Canada
| | - Thien Thanh Dang‐Vu
- Department of Psychology Concordia University Montreal Quebec Canada
- Department of Health Kinesiology and Applied Physiology Concordia University Montreal Quebec Canada
- Concordia University PERFORM Centre Montreal Quebec Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal Montreal Quebec Canada
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29
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Jago R, Tibbitts B, Willis K, Sanderson E, Kandiyali R, Reid T, MacNeill S, Kipping R, Campbell R, Sebire SJ, Hollingworth W. Peer-led physical activity intervention for girls aged 13 to 14 years: PLAN-A cluster RCT. PUBLIC HEALTH RESEARCH 2022. [DOI: 10.3310/zjqw2587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background
Increasing physical activity among girls is a public health priority. Peers play a central role in influencing adolescent behaviour. Peer-led interventions may increase physical activity in adolescent girls, and a feasibility trial had shown that PLAN-A (Peer-led physical Activity iNtervention for Adolescent girls) had evidence of promise to increase physical activity in adolescent girls.
Objective
The objective was to test whether or not PLAN-A can increase adolescent girls’ physical activity, relative to usual practice, and be cost-effective.
Design
This was a two-arm, cluster-randomised controlled trial, including an economic evaluation and a process evaluation.
Participants
State-funded secondary schools in the UK with girls in Year 9 (aged 13–14 years) participated in the trial. All Year 9 girls in participating schools were eligible.
Randomisation
Schools were the unit of allocation. They were randomised by an independent statistician, who was blinded to school identities, to the control or intervention arm, stratified by region and the England Index of Multiple Deprivation score.
Intervention
The intervention comprised peer nomination (i.e. identification of influential girls), train the trainers (i.e. training the instructors who delivered the intervention), peer supporter training (i.e. training the peer-nominated girls in techniques and strategies underpinned by motivational theory to support peer physical activity increases) and a 10-week diffusion period.
Outcomes
The primary outcome was accelerometer-assessed mean weekday minutes of moderate to vigorous physical activity among Year 9 girls. The follow-up measures were conducted 5–6 months after the 10-week intervention, when the girls were in Year 10 (which was also 12 months after the baseline measures). Analysis used a multivariable, mixed-effects, linear regression model on an intention-to-treat basis. Secondary outcomes included weekend moderate to vigorous physical activity, and weekday and weekend sedentary time. Intervention delivery costs were calculated for the economic evaluation.
Results
A total of 33 schools were approached; 20 schools and 1558 pupils consented. Pupils in the intervention arm had higher Index of Multiple Deprivation scores than pupils in the control arm. The numbers randomised were as follows: 10 schools (n = 758 pupils) were randomised to the intervention arm and 10 schools (n = 800 pupils) were randomised to the control arm. For analysis, a total of 1219 pupils provided valid weekday accelerometer data at both time points (intervention, n = 602; control, n = 617). The mean weekday moderate to vigorous physical activity was similar between groups at follow-up. The central estimate of time spent engaging in moderate to vigorous physical activity was 2.84 minutes lower in the intervention arm than in the control arm, after adjustment for baseline mean weekday moderate to vigorous physical activity, the number of valid days of data and the stratification variables; however, this difference was not statistically significant (95% confidence interval –5.94 to 0.25; p = 0.071). There were no between-arm differences in the secondary outcomes. The intervention costs ranged from £20.85 to £48.86 per pupil, with an average cost of £31.16.
Harms
None.
Limitations
The trial was limited to south-west England.
Conclusions
There was no evidence that PLAN-A increased physical activity in Year 9 girls compared with usual practice and, consequently, it was not cost-effective.
Future work
Future work should evaluate the utility of whole-school approaches to promote physical activity in schools.
Trial registration
This trial is registered as ISRCTN14539759.
Funding
This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 10, No. 6. See the NIHR Journals Library website for further project information. This trial was designed and delivered in collaboration with the Bristol Randomised Trials Collaboration (BRTC), a United Kingdom Clinical Research Commission (UKCRC)-registered Clinical Trials Unit that, as part of the Bristol Trials Centre, is in receipt of NIHR Clinical Trials Unit support funding. The sponsor of this trial was University of Bristol, Research and Enterprise Development www.bristol.ac.uk/red/. The costs of delivering the intervention were funded by Sport England.
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Affiliation(s)
- Russell Jago
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
- National Institute for Health Research Applied Research Collaboration West at University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Byron Tibbitts
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Kathryn Willis
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Emily Sanderson
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Bristol Randomised Trials Collaboration, Bristol Trials Centre, University of Bristol, Bristol, UK
| | - Rebecca Kandiyali
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Tom Reid
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Stephanie MacNeill
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- Bristol Randomised Trials Collaboration, Bristol Trials Centre, University of Bristol, Bristol, UK
| | - Ruth Kipping
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Rona Campbell
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Simon J Sebire
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
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30
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Koppenaal T, Pisters MF, Kloek CJ, Arensman RM, Ostelo RW, Veenhof C. The 3-Month Effectiveness of a Stratified Blended Physiotherapy Intervention in Patients With Nonspecific Low Back Pain: Cluster Randomized Controlled Trial. J Med Internet Res 2022; 24:e31675. [PMID: 35212635 PMCID: PMC8917429 DOI: 10.2196/31675] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 12/23/2021] [Accepted: 12/28/2021] [Indexed: 12/29/2022] Open
Abstract
Background Patient education, home-based exercise therapy, and advice on returning to normal activities are established physiotherapeutic treatment options for patients with nonspecific low back pain (LBP). However, the effectiveness of physiotherapy interventions on health-related outcomes largely depends on patient self-management and adherence to exercise and physical activity recommendations. e-Exercise LBP is a recently developed stratified blended care intervention comprising a smartphone app integrated with face-to-face physiotherapy treatment. Following the promising effects of web-based applications on patients’ self-management skills and adherence to exercise and physical activity recommendations, it is hypothesized that e-Exercise LBP will improve patients’ physical functioning. Objective This study aims to investigate the short-term (3 months) effectiveness of stratified blended physiotherapy (e-Exercise LBP) on physical functioning in comparison with face-to-face physiotherapy in patients with nonspecific LBP. Methods The study design was a multicenter cluster randomized controlled trial with intention-to-treat analysis. Patients with nonspecific LBP aged ≥18 years were asked to participate in the study. The patients were treated with either stratified blended physiotherapy or face-to-face physiotherapy. Both interventions were conducted according to the Dutch physiotherapy guidelines for nonspecific LBP. Blended physiotherapy was stratified according to the patients’ risk of developing persistent LBP using the Keele STarT Back Screening Tool. The primary outcome was physical functioning (Oswestry Disability Index, range 0-100). Secondary outcomes included pain intensity, fear-avoidance beliefs, and self-reported adherence. Measurements were taken at baseline and at the 3-month follow-up. Results Both the stratified blended physiotherapy group (104/208, 50%) and the face-to-face physiotherapy group (104/208, 50%) had improved clinically relevant and statistically significant physical functioning; however, there was no statistically significant or clinically relevant between-group difference (mean difference −1.96, 95% CI −4.47 to 0.55). For the secondary outcomes, stratified blended physiotherapy showed statistically significant between-group differences in fear-avoidance beliefs and self-reported adherence. In patients with a high risk of developing persistent LBP (13/208, 6.3%), stratified blended physiotherapy showed statistically significant between-group differences in physical functioning (mean difference −16.39, 95% CI −27.98 to −4.79) and several secondary outcomes. Conclusions The stratified blended physiotherapy intervention e-Exercise LBP is not more effective than face-to-face physiotherapy in patients with nonspecific LBP in improving physical functioning in the short term. For both stratified blended physiotherapy and face-to-face physiotherapy, within-group improvements were clinically relevant. To be able to decide whether e-Exercise LBP should be implemented in daily physiotherapy practice, future research should focus on the long-term cost-effectiveness and determine which patients benefit most from stratified blended physiotherapy. Trial Registration ISRCTN Registry 94074203; https://doi.org/10.1186/ISRCTN94074203 International Registered Report Identifier (IRRID) RR2-https://doi.org/10.1186/s12891-020-3174-z
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Affiliation(s)
- Tjarco Koppenaal
- Research Group Empowering Healthy Behaviour, Department of Health Innovations and Technology, Fontys University of Applied Sciences, Eindhoven, Netherlands.,Center for Physical Therapy Research and Innovation in Primary Care, Julius Health Care Centers, Utrecht, Netherlands.,Physical Therapy Research, Department of Rehabilitation, Physiotherapy Science and Sport, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Martijn F Pisters
- Research Group Empowering Healthy Behaviour, Department of Health Innovations and Technology, Fontys University of Applied Sciences, Eindhoven, Netherlands.,Center for Physical Therapy Research and Innovation in Primary Care, Julius Health Care Centers, Utrecht, Netherlands.,Physical Therapy Research, Department of Rehabilitation, Physiotherapy Science and Sport, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Corelien Jj Kloek
- Center for Physical Therapy Research and Innovation in Primary Care, Julius Health Care Centers, Utrecht, Netherlands.,Research Group Innovation of Human Movement Care, Research Center Healthy and Sustainable Living, HU University of Applied Sciences, Utrecht, Netherlands
| | - Remco M Arensman
- Center for Physical Therapy Research and Innovation in Primary Care, Julius Health Care Centers, Utrecht, Netherlands.,Physical Therapy Research, Department of Rehabilitation, Physiotherapy Science and Sport, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Raymond Wjg Ostelo
- Department of Health Sciences, Faculty of Science, VU University Amsterdam, Amsterdam Movement Sciences research institute Amsterdam, Amsterdam, Netherlands.,Department of Epidemiology and Data Science, Amsterdam University Medical Centre, Location VUmc, Amsterdam, Netherlands
| | - Cindy Veenhof
- Center for Physical Therapy Research and Innovation in Primary Care, Julius Health Care Centers, Utrecht, Netherlands.,Physical Therapy Research, Department of Rehabilitation, Physiotherapy Science and Sport, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, Netherlands.,Research Group Innovation of Human Movement Care, Research Center Healthy and Sustainable Living, HU University of Applied Sciences, Utrecht, Netherlands
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31
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Gómez-García M, Torrado J, Bia D, Zócalo Y. Influence of Epoch Length and Recording Site on the Relationship Between Tri-Axial Accelerometry-Derived Physical Activity Levels and Structural, Functional, and Hemodynamic Properties of Central and Peripheral Arteries. Front Sports Act Living 2022; 4:799659. [PMID: 35280222 PMCID: PMC8909126 DOI: 10.3389/fspor.2022.799659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 01/17/2022] [Indexed: 12/11/2022] Open
Abstract
BackgroundIt remains to be established to what extent physical activity (PA) levels among individuals are independently associated with deviations from the “optimal” state of the arterial system. Accelerometers have been proposed as means to obtain reliable, objective, and more comprehensive data of PA. Decisions at the time of data collection/processing could influence the association between accelerometry-derived indices and arterial properties.Objectives(i) To identify to what extent the strength of association between arterial properties and accelerometer-derived indices depend on the recording site and/or the epoch length; (ii) to determine whether some arterial characteristics (hemodynamic vs. structural vs. functional) or regions (elastic vs. transitional vs. muscular arteries; central vs. peripheral) have higher levels of association with accelerometry-derived indices.MethodsPhysical activity (PA), cardiovascular risk factors (CRFs), and cardiovascular properties were evaluated in 60 volunteers (general population; age: 23–62 years; women: 43%). PA was measured daily for 7 days (free-living situation; triaxial-accelerometers ActiGraph-GT3X+; hip and wrist; “Worn-to-wrist” option) and raw data was converted at epoch lengths of 1, 5, 10, 30, and 60-s. PA-related energy expenditure, daily time in moderate-to-vigorous PA, steps/minute, and counts-per-minute for vector magnitude were calculated. The cardiovascular evaluation included hemodynamic (central and peripheral pressure), structural (diameters and intima-media thickness), and functional (local and regional stiffness) parameters of carotids, femoral, and brachial arteries, and carotid-femoral and carotid-radial pathways. Arterial z-scores were obtained using age-related equations derived from healthy participants not exposed to CRFs (n = 1,688; age: 2–84 years; female: 51.2%) to evaluate at which degree each parameter deviates from the “optimal” value.MethodsIn general, hip recordings outperformed those obtained on the wrist regarding the strength of association with arterial parameters. Accelerometer-derived indices and their association with arterial properties vary depending on the recording site and epoch length. PA indices are stronger associated with functional (local) than structural variables and with central than peripheral arteries.ConclusionsRegardless of the PA index, there were independent associations with central artery characteristics, which reinforces that these territories would be the most related to PA levels. Differences in data acquisition and processing could lead to differences in conclusions when addressing the association between accelerometer-derived indices and the cardiovascular system.
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Affiliation(s)
- Mariana Gómez-García
- Departamento de Educación Física y Salud, Instituto Superior de Educación Física, Universidad de la República, Montevideo, Uruguay
- Grupo “Centro Universitario de Investigación, Innovación y Diagnóstico Arterial – Movimiento, Actividad, Salud” (CUiiDARTE-MAS), Comisión Sectorial de Investigación Científica (CSIC), Universidad de la República, Montevideo, Uruguay
| | - Juan Torrado
- Grupo “Centro Universitario de Investigación, Innovación y Diagnóstico Arterial – Movimiento, Actividad, Salud” (CUiiDARTE-MAS), Comisión Sectorial de Investigación Científica (CSIC), Universidad de la República, Montevideo, Uruguay
- Department of Internal Medicine, Jacobi Medical Center, Albert Einstein College of Medicine, New York, NY, United States
- Departamento de Fisiología, Facultad de Medicina, Centro Universitario de Investigación, Innovación y Diagnóstico Arterial (CUiiDARTE), Universidad de la República, Montevideo, Uruguay
| | - Daniel Bia
- Grupo “Centro Universitario de Investigación, Innovación y Diagnóstico Arterial – Movimiento, Actividad, Salud” (CUiiDARTE-MAS), Comisión Sectorial de Investigación Científica (CSIC), Universidad de la República, Montevideo, Uruguay
- Departamento de Fisiología, Facultad de Medicina, Centro Universitario de Investigación, Innovación y Diagnóstico Arterial (CUiiDARTE), Universidad de la República, Montevideo, Uruguay
| | - Yanina Zócalo
- Grupo “Centro Universitario de Investigación, Innovación y Diagnóstico Arterial – Movimiento, Actividad, Salud” (CUiiDARTE-MAS), Comisión Sectorial de Investigación Científica (CSIC), Universidad de la República, Montevideo, Uruguay
- Departamento de Fisiología, Facultad de Medicina, Centro Universitario de Investigación, Innovación y Diagnóstico Arterial (CUiiDARTE), Universidad de la República, Montevideo, Uruguay
- *Correspondence: Yanina Zócalo
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Waking up to sleep's role in obesity and blood pressure among Black adolescent girls in low-income, US urban communities: A longitudinal analysis. Sleep Health 2022; 8:200-207. [DOI: 10.1016/j.sleh.2021.12.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 11/26/2021] [Accepted: 12/03/2021] [Indexed: 12/15/2022]
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Cheung JCW, So BPH, Ho KHM, Wong DWC, Lam AHF, Cheung DSK. Wrist accelerometry for monitoring dementia agitation behaviour in clinical settings: A scoping review. Front Psychiatry 2022; 13:913213. [PMID: 36186887 PMCID: PMC9523077 DOI: 10.3389/fpsyt.2022.913213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
Agitated behaviour among elderly people with dementia is a challenge in clinical management. Wrist accelerometry could be a versatile tool for making objective, quantitative, and long-term assessments. The objective of this review was to summarise the clinical application of wrist accelerometry to agitation assessments and ways of analysing the data. Two authors independently searched the electronic databases CINAHL, PubMed, PsycInfo, EMBASE, and Web of Science. Nine (n = 9) articles were eligible for a review. Our review found a significant association between the activity levels (frequency and entropy) measured by accelerometers and the benchmark instrument of agitated behaviour. However, the performance of wrist accelerometry in identifying the occurrence of agitation episodes was unsatisfactory. Elderly people with dementia have also been monitored in existing studies by investigating the at-risk time for their agitation episodes (daytime and evening). Consideration may be given in future studies on wrist accelerometry to unifying the parameters of interest and the cut-off and measurement periods, and to using a sampling window to standardise the protocol for assessing agitated behaviour through wrist accelerometry.
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Affiliation(s)
- James Chung-Wai Cheung
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.,Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Bryan Pak-Hei So
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Ken Hok Man Ho
- The Nethersole School of Nursing, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Duo Wai-Chi Wong
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Alan Hiu-Fung Lam
- Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China
| | - Daphne Sze Ki Cheung
- Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.,School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
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Measurement Methods of Fatigue, Sleepiness, and Sleep Behaviour Aboard Ships: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 19:ijerph19010120. [PMID: 35010383 PMCID: PMC8750891 DOI: 10.3390/ijerph19010120] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 12/17/2021] [Accepted: 12/20/2021] [Indexed: 11/17/2022]
Abstract
Since seafarers are known to be exposed to numerous job-related stress factors that can cause fatigue, sleepiness, and disturbed sleep behaviour, the aim of this review was to provide an overview of the subjective and objective measurement methods of these strains. Using a systematic review, 166 studies were identified within the period of January 2010 to December 2020 using the PubMed database. Of the 21 studies selected, 13 used both subjective and objective measurement methods. Six studies used only subjective and two studies only objective methods. For subjective assessment, 12 different questionnaires could be identified as well as activity and sleeping logs. Actigraphy and reaction time tests (RTT) were the most common objective methods. In single cases, electrooculography (EOG), pupillometry and ambulatory polysomnography (PSG) were used. Measurement-related limitations due to vessel-related impacts were less often reported than expected. No restrictions of daily routines on board were described, and only single-measurement disturbances due to ship movements were mentioned. The present literature review reveals that there are various routines to measure fatigue, sleepiness, and sleep behaviour on board. A combination of subjective and objective methods often appears to be beneficial. The frequent use of actigraphy and RTT on board suggests good feasibility and reliable measurements with these methods. The use of ambulatory PSG in maritime-like contexts suggests that this method would also be feasible on board.
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Quantitative assessment of sitting time in ambulant adults with Muscular Dystrophy. PLoS One 2021; 16:e0260491. [PMID: 34797883 PMCID: PMC8604332 DOI: 10.1371/journal.pone.0260491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 11/10/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Current investigations into physical behaviour in Muscular Dystrophy (MD) have focussed largely on physical activity (PA). Negative health behaviours such as sedentary behaviour (Physical Behaviour) and sitting time (Posture Classification) are widely recognised to negatively influence health, but by contrast are poorly reported, yet could be easier behaviours to modify. METHODS 14 ambulant men with MD and 12 healthy controls (CTRL) subjects completed 7-days of free-living with wrist-worn accelerometry, assessing physical behaviour (SB or PA) and Posture Classification (Sitting or Standing), presented at absolute (minutes) or relative (% Waking Hours). Participant body composition (Fat Mass and Fat Free Mass) were assessed by Bioelectrical Impedance, while functional status was assessed by 10 m walk test and a functional scale (Swinyard Scale). RESULTS Absolute Sedentary Behaviour (2.2 Hours, p = 0.025) and Sitting Time (1.9 Hours, p = 0.030 was greater in adults with MD compared to CTRL and Absolute Physical Activity (3.4 Hours, p < 0.001) and Standing Time (3.2 Hours, p < 0.001) was lower in adults with MD compared to CTRL. Absolute hours of SB was associated with Fat Mass (Kg) (R = 0.643, p < 0.05) in ambulatory adults with MD. DISCUSSION This study has demonstrated increased Sedentary Behaviour (2.2 hours) and Sitting time (1.9 Hours) in adults with MD compared to healthy controls. Extended waking hours in sitting and SB raises concerns with regards to progression of potential cardio-metabolic diseases and co-morbidities in MD.
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Bucko AG, Dowda M, Frongillo EA, Torres ME, Pate RR. Nighttime sleep and physical activity in 6-7 month-old infants. Infant Behav Dev 2021; 65:101628. [PMID: 34392076 PMCID: PMC8627435 DOI: 10.1016/j.infbeh.2021.101628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 08/05/2021] [Accepted: 08/06/2021] [Indexed: 11/16/2022]
Abstract
This study examined associations between objectively-measured nighttime sleep duration and physical activity in a sample of 6-7 month-old infants (N=93). The study also investigated relationships between infant sleep and demographic and environmental characteristics. Cross-sectional relationships were assessed using linear regression analyses. Nighttime sleep duration was positively associated with physical activity levels. Nighttime sleep duration was greater when infants had a consistent bedtime, slept in a separate room, were male, and had mothers who reported having a college education or greater. These findings can inform the development of interventions that aim to improve infant sleep.
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Affiliation(s)
- Agnes G Bucko
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
| | - Marsha Dowda
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Edward A Frongillo
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Myriam E Torres
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Russell R Pate
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
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Can individual, dyadic, or collaborative planning reduce sedentary behavior? A randomized controlled trial. Soc Sci Med 2021; 287:114336. [PMID: 34482277 DOI: 10.1016/j.socscimed.2021.114336] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 07/27/2021] [Accepted: 08/19/2021] [Indexed: 11/21/2022]
Abstract
RATIONALE Although effects of individual planning interventions on physical activity (PA) are well established, less is known about the relationships between planning and sedentary behavior (SB). OBJECTIVE This study evaluated the efficacy of individual planning, dyadic planning (i.e., joint planning, targeting the behavior of one person only: the target person), and collaborative planning (i.e., joint planning and joint behavioral performance) on sedentary behavior among dyads. METHODS Dyads (N = 320 target persons and their partners, aged 18-90 years) were randomized into three PA planning conditions (individual, dyadic, or collaborative) or an active (education) control condition. Main outcomes, i.e., sedentary time, proportion of time spent in SB and light-intensity PA, proportion of time spent in SB and total PA were measured with GT3X-BT accelerometers at baseline, 1-week follow-up, and 36-week follow-up. Two-level models with measurement points nested in participants were fit, separately for target persons and partners. RESULTS Findings for target persons obtained at 1-week follow-up indicated that in the collaborative planning condition SB time significantly decreased, compared to the control condition (p = .013). There was an improvement in the proportion of time spent in SB and light-intensity PA (p = .019), and the proportion of time spent in SB and total PA (p = .018), indicating that SB time was displaced by PA. Effects of individual and dyadic planning were not significant, compared to the control condition. None of interventions had a significant effect on SB indices at 36-week follow-up. Regarding dyadic partners, there were no effects of planning interventions at 1-week follow-up or 36-week follow-up, compared to the control condition. CONCLUSIONS Collaborative planning may prompt a short-term reduction of SB time and result in a shift towards a healthier balance between SB time and PA time among target persons, who did not adhere to PA guidelines at baseline.
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Groth SW, Fernandez ID, Block RC, Thurston SW, Wong E, Brunner J, Mayo N, Kapula N, Yu Y, Meng Y, Yeh KL, Kinkade CW, Thornburg LL, O’Connor TG, Barrett ES. Biological changes in the pregnancy-postpartum period and subsequent cardiometabolic risk-UPSIDE MOMS: A research protocol. Res Nurs Health 2021; 44:608-619. [PMID: 33993510 PMCID: PMC8378197 DOI: 10.1002/nur.22141] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 04/05/2021] [Accepted: 05/02/2021] [Indexed: 01/21/2023]
Abstract
Multiple physiological changes occur in pregnancy as a woman's body adapts to support the growing fetus. These pregnancy-induced changes are essential for fetal growth, but the extent to which they reverse after pregnancy remains in question. For some women, physiological changes persist after pregnancy and may increase long-term cardiometabolic disease risk. The National Institutes of Health-funded study described in this protocol addresses a scientific gap by characterizing weight and biological changes during pregnancy and an extended postpartum period in relation to cardiometabolic risk. We use a longitudinal repeated measures design to prospectively examine maternal health from early pregnancy until 3 years postpartum. The aims are: (1) identify maternal weight profiles in the pregnancy-postpartum period that predict adverse cardiometabolic risk profiles three years postpartum; (2) describe immune, endocrine, and metabolic biomarker profiles in the pregnancy-postpartum period, and determine their associations with cardiometabolic risk; and (3) determine how modifiable postpartum health behaviors (diet, physical activity, breastfeeding, sleep, stress) (a) predict weight and cardiometabolic risk in the postpartum period; and (b) moderate associations between postpartum weight retention and downstream cardiometabolic risk. The proposed sample is 250 women. This study of mothers is conducted in conjunction with the Understanding Pregnancy Signals and Infant Development study, which examines child health outcomes. Biological and behavioral data are collected in each trimester and at 6, 12, 24, and 36 months postpartum. Findings will inform targeted health strategies that promote health and reduce cardiometabolic risk in childbearing women.
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Affiliation(s)
- Susan W Groth
- University of Rochester, School of Nursing, Rochester NY
| | - I Diana Fernandez
- University of Rochester School of Medicine and Dentistry, Department of Public Health Sciences
| | - Robert C Block
- University of Rochester, Departments of Public Health Sciences, Cardiology, and Medicine
| | - Sally W Thurston
- University of Rochester, Department of Biostatistics and Computational Biology
| | - Eunyoung Wong
- University of Rochester, School of Nursing, Rochester NY
| | - Jessica Brunner
- University of Rochester Medical Center, Department of Obstetrics and Gynecology
| | - Nicole Mayo
- University of Rochester School of Medicine and Dentistry, Department of Public Health Sciences
| | - Ntemena Kapula
- University of Rochester Medical Center, Department of Obstetrics and Gynecology
| | - Yang Yu
- University of Rochester, School of Nursing, Rochester NY
| | - Ying Meng
- University of Rochester, School of Nursing, Rochester NY
| | - Kuan-Lin Yeh
- University of Rochester, School of Nursing, Rochester NY
| | - Carolyn W Kinkade
- Rutgers University, Exposure Science and Epidemiology, Environmental and Occupational Health Sciences Institute
| | - Loralei L Thornburg
- University of Rochester Medical Center, Department of Obstetrics and Gynecology
| | - Thomas G O’Connor
- University of Rochester, Departments of Psychiatry, Psychology, Neuroscience, Obstetrics and Gynecology, and Wynne Center for Family Research
| | - Emily S Barrett
- University of Rochester Medical Center, Department of Obstetrics and Gynecology
- Rutgers University, Exposure Science and Epidemiology, Environmental and Occupational Health Sciences Institute
- Rutgers School of Public Health, Biostatistics and Epidemiology
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Davis-Wilson HC, Thoma LM, Longobardi L, Franz JR, Blackburn JT, Hackney AC, Pietrosimone B. Quality of Life Associates With Moderate to Vigorous Physical Activity Following Anterior Cruciate Ligament Reconstruction. J Athl Train 2021; 57:532-539. [PMID: 34329413 DOI: 10.4085/1062-6050-0670.20] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
CONTEXT Higher knee function is linked to psychological readiness to return to sport following anterior cruciate ligament reconstruction (ACLR). Individuals with ACLR participate in less physical activity compared to matched uninjured controls, yet the association between knee function and physical activity following ACLR remains unclear. OBJECTIVE To determine the association between patient-reported knee function measured with the Knee Injury and Osteoarthritis Outcomes Score Quality of Life (KOOS-QOL), daily steps, and minutes spent in moderate to vigorous physical activity (MVPA) in individuals with ACLR. Secondarily, we determined associations between KOOS-QOL, daily steps, and MVPA in individuals with ACLR who presented with (symptomatic) and without (asymptomatic) clinically meaningful knee related symptoms. DESIGN Cross-sectional study. SETTING Laboratory, Free-living conditions. PATIENTS OR OTHER PARTICIPANTS Sixty-six individuals with primary unilateral ACLR (55% female, 22±4 years, 28±33 months post-ACLR, BMI: 24.2±2.9 kg/m2). OUTCOME MEASURE(S) We collected KOOS and retrospectively stratified participants into those with (symptomatic [n=30]) or without (asymptomatic [n=36]) clinically meaningful knee related symptoms based on previously defined KOOS cutoffs. We assessed daily steps and MVPA from ActiGraph GT9X Link accelerometers which each participant wore on the right hip for 7 days. We conducted linear regressions to determine associations between KOOS-QOL, daily steps, and MVPA. RESULTS No significant associations existed in the entire sample between KOOS-QOL and daily steps (ΔR2=0.01, P=0.50) or MVPA (ΔR2=0.01, P=0.36). In symptomatic individuals, greater KOOS-QOL associated with greater MVPA (ΔR2=0.12, P=0.05,). No significant associations existed between KOOS-QOL, daily steps, and MVPA in the asymptomatic group. CONCLUSIONS Symptomatic individuals with ACLR who spent more time in MVPA reported higher quality of life.
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Affiliation(s)
- Hope C Davis-Wilson
- 1Physical Therapy Program, Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Louise M Thoma
- 2Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,3Division of Physical Therapy, Department of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lara Longobardi
- 4Department of Medicine, Division of Rheumatology, Allergy, and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jason R Franz
- 5Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, USA
| | - J Troy Blackburn
- 2Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,6MOTION Science Institute, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,7Department of Orthopaedics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - A C Hackney
- 2Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,8Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Brian Pietrosimone
- 2Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,6MOTION Science Institute, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,7Department of Orthopaedics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Barchek AR, Dlugonski D, Baez SE, Hoch MC, Hoch J. The relationship between injury-related fear and physical activity in people with a history of anterior cruciate ligament reconstruction. Phys Ther Sport 2021; 50:201-205. [PMID: 34098326 DOI: 10.1016/j.ptsp.2021.05.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 05/24/2021] [Accepted: 05/26/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVE The objective of this study was to examine the relationship between fear-avoidance beliefs and physical activity (PA) in people with a history of anterior cruciate ligament reconstruction (ACLR). DESIGN Modified cross-sectional. SETTING Research laboratory Participants: A total of 19 participants with a history of unilateral ACLR. MAIN OUTCOME MEASURES Participants completed the Fear-Avoidance Beliefs Questionnaire (FABQ), a valid and reliable measure of FAB measured across two subscales (FABQ-Sport and FABQ-Physical Activity (PA)). Higher scores indicated greater FAB. The participants were provided a wearable accelerometer to wear on the wrist for one-week to capture PA outcomes (vertical counts per minute and average steps/day). RESULTS Weak, non-statistically significant positive correlations were identified between average daily steps per day (11,237.7 ± 5667.7), FABQ-PA (6 ± 8; r = 0.12, p = .63) and FABQ-S (8 ± 15; r = 0.26, p = .35). Weak, non-statistically significant negative correlations were identified between vertical counts per minute (131.4 ± 141.4) and FABQ-PA (r = -0.13, p = .59) and no relationship was observed with FABQ-Sports (r = 0.00, p = .98). CONCLUSIONS There were no significant relationships between FABs and PA. The ability for individuals to remain physically active, with measurable levels of FABs (greater than 0), may be due to other psychological variables that should be further examined.
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Affiliation(s)
- Amy R Barchek
- Department of Athletic Training and Clinical Nutrition, University of Kentucky, 900 South Limestone Street, Lexington, KY, 40536, USA.
| | - Dee Dlugonski
- Department of Athletic Training and Clinical Nutrition, University of Kentucky, 900 South Limestone Street, Lexington, KY, 40536, USA.
| | - Shelby E Baez
- Department of Kinesiology, Michigan State University, 308 W Circle Dr, East Lansing, MI, 48824, USA.
| | - Matthew C Hoch
- Department of Athletic Training and Clinical Nutrition, University of Kentucky, 900 South Limestone Street, Lexington, KY, 40536, USA.
| | - Johanna Hoch
- Department of Athletic Training and Clinical Nutrition, University of Kentucky, 900 South Limestone Street, Lexington, KY, 40536, USA.
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Rackoll T, Neumann K, Passmann S, Grittner U, Külzow N, Ladenbauer J, Flöel A. Applying time series analyses on continuous accelerometry data-A clinical example in older adults with and without cognitive impairment. PLoS One 2021; 16:e0251544. [PMID: 33984029 PMCID: PMC8118312 DOI: 10.1371/journal.pone.0251544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 04/29/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Many clinical studies reporting accelerometry data use sum score measures such as percentage of time spent in moderate to vigorous activity which do not provide insight into differences in activity patterns over 24 hours, and thus do not adequately depict circadian activity patterns. Here, we present an improved functional data analysis approach to model activity patterns and circadian rhythms from accelerometer data. As a use case, we demonstrated its application in patients with mild cognitive impairment (MCI) and age-matched healthy older volunteers (HOV). METHODS Data of two studies were pooled for this analysis. Following baseline cognitive assessment participants were provided with accelerometers for seven consecutive days. A function on scalar regression (FoSR) approach was used to analyze 24 hours accelerometer data. RESULTS Information on 48 HOV (mean age 65 SD 6 years) and 18 patients with MCI (mean age 70, SD 8 years) were available for this analysis. MCI patients displayed slightly lower activity in the morning hours (minimum relative activity at 6:05 am: -41.3%, 95% CI -64.7 to -2.5%, p = 0.031) and in the evening (minimum relative activity at 21:40 am: -48.4%, 95% CI -68.5 to 15.4%, p = 0.001) as compared to HOV after adjusting for age and sex. DISCUSSION Using a novel approach of FoSR, we found timeframes with lower activity levels in MCI patients compared to HOV which were not evident if sum scores of amount of activity were used, possibly indicating that changes in circadian rhythmicity in neurodegenerative disease are detectable using easy-to-administer accelerometry. CLINICAL TRIALS Effects of Brain Stimulation During Nocturnal Sleep on Memory Consolidation in Patients With Mild Cognitive Impairments, ClinicalTrial.gov identifier: NCT01782391. Effects of Brain Stimulation During a Daytime Nap on Memory Consolidation in Patients With Mild Cognitive Impairment, ClinicalTrial.gov identifier: NCT01782365.
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Affiliation(s)
- Torsten Rackoll
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Excellence Cluster (NCRC), Berlin, Germany
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Center for Stroke Research Berlin (CSB), Berlin, Germany
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, BIH QUEST-Center for Transforming Biomedical Research, Berlin, Germany
| | - Konrad Neumann
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Biometry and Clinical Epidemiology, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
| | - Sven Passmann
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Excellence Cluster (NCRC), Berlin, Germany
| | - Ulrike Grittner
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Biometry and Clinical Epidemiology, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
| | - Nadine Külzow
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Excellence Cluster (NCRC), Berlin, Germany
- Kliniken Beelitz GmbH, Beelitz-Heilstätten, Germany
| | - Julia Ladenbauer
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Agnes Flöel
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Center for Stroke Research Berlin (CSB), Berlin, Germany
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Partner Site, Rostock/Greifswald, Germany
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Doherty R, Madigan SM, Nevill A, Warrington G, Ellis JG. The Sleep and Recovery Practices of Athletes. Nutrients 2021; 13:nu13041330. [PMID: 33920560 PMCID: PMC8072992 DOI: 10.3390/nu13041330] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/14/2021] [Accepted: 04/15/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Athletes maintain a balance between stress and recovery and adopt recovery modalities that manage fatigue and enhance recovery and performance. Optimal TST is subject to individual variance. However, 7-9 h sleep is recommended for adults, while elite athletes may require more quality sleep than non-athletes. METHODS A total of 338 (elite n = 115, 74 males and 41 females, aged 23.44 ± 4.91 years; and sub-elite n = 223, 129 males and 94 females aged 25.71 ± 6.27) athletes were recruited from a variety of team and individual sports to complete a battery of previously validated and reliable widely used questionnaires assessing sleep, recovery and nutritional practices. RESULTS Poor sleep was reported by both the elite and sub-elite athlete groups (i.e., global PSQI score ≥5-elite 64% [n = 74]; sub-elite 65% [n = 146]) and there was a significant difference in sport-specific recovery practices (3.22 ± 0.90 vs. 2.91 ± 0.90; p < 0.001). Relatively high levels of fatigue (2.52 ± 1.32), stress (1.7 ± 1.31) and pain (50%, n = 169) were reported in both groups. A range of supplements were used regularly by athletes in both groups; indeed, whey (elite n = 22 and sub-elite n = 48) was the most commonly used recovery supplement in both groups. Higher alcohol consumption was observed in the sub-elite athletes (12%, n = 26) and they tended to consume more units of alcohol per drinking bout. CONCLUSION There is a need for athletes to receive individualised support and education regarding their sleep and recovery practices.
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Affiliation(s)
- Rónán Doherty
- Sports Lab North West, Letterkenny Institute of Technology, Port Road, Letterkenny, F92 FC93 Donegal, Ireland
- Sport Ireland Institute, National Sport Campus, Abbotstown, D15 PNON Dublin, Ireland;
- Northumbria Centre for Sleep Research, Northumbria University, Newcastle NE7 7XA, UK;
- Correspondence:
| | - Sharon M. Madigan
- Sport Ireland Institute, National Sport Campus, Abbotstown, D15 PNON Dublin, Ireland;
| | - Alan Nevill
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Walsall Campus, Walsall WV1 1LY, UK;
| | - Giles Warrington
- Health Research Institute, Schuman Building, University of Limerick, V94 T9PX Limerick, Ireland;
- Department of Physical Education and Sport Sciences, University of Limerick, V94 T9PX Limerick, Ireland
| | - Jason G. Ellis
- Northumbria Centre for Sleep Research, Northumbria University, Newcastle NE7 7XA, UK;
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Jackson CL, Ward JB, Johnson DA, Sims M, Wilson J, Redline S. Concordance between self-reported and actigraphy-assessed sleep duration among African-American adults: findings from the Jackson Heart Sleep Study. Sleep 2021; 43:5588123. [PMID: 31616945 DOI: 10.1093/sleep/zsz246] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 08/04/2019] [Indexed: 01/16/2023] Open
Abstract
STUDY OBJECTIVES Most epidemiological studies assess sleep duration using questionnaires. Interpreting this information requires understanding the extent to which self-reported habitual sleep reflects objectively assessed sleep duration, particularly among African Americans, who disproportionately experience poor sleep health. METHODS Among African-American participants of the Jackson Heart Sleep Study, we investigated differences in questionnaire-based self-assessed average sleep duration and self-assessed wake-bed time differences compared to actigraphy-based assessments of total sleep time (TST) and average time in bed (TIB). Linear regression models provided estimates of concordance between actigraphy-based and self-reported sleep duration. RESULTS Among 821 adults, self-assessed average sleep duration was lower than self-assessed wake-bed time differences (6.4 ± 1.4 vs. 7.5 ± 1.7 h, p < 0.0001). Mean actigraphy-based TST was 6.6 ± 1.2 h, and actigraphy-based average TIB was 7.6 ± 1.2 h. Self-assessed average sleep duration and actigraphy-based TST were moderately correlated (r = 0.28, p < 0.0001). Self-assessed average sleep duration underestimated actigraphy-based TST by -30.7 min (95% confidence intervals [CI]: -36.5 to -24.9). In contrast, self-assessed wake-bed time differences overestimated actigraphy-based TST by 45.1 min (95% CI: 38.6-51.5). In subgroup analyses, self-assessed average sleep duration underestimated actigraphy-based measures most strongly among participants with insomnia symptoms. CONCLUSIONS Among African Americans, self-assessed average sleep duration underestimated objectively measured sleep while self-assessed wake-bed time differences overestimated objectively measured sleep. Sleep measurement property differences should be considered when investigating disparities in sleep and evaluating their associations with health outcomes.
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Affiliation(s)
- Chandra L Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC.,Intramural Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Julia B Ward
- Social & Scientific Systems, Durham, NC.,Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC
| | - Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS
| | - James Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS
| | - Susan Redline
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA.,Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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44
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McDevitt B, Moore L, Akhtar N, Connolly J, Doherty R, Scott W. Validity of a Novel Research-Grade Physical Activity and Sleep Monitor for Continuous Remote Patient Monitoring. SENSORS (BASEL, SWITZERLAND) 2021; 21:2034. [PMID: 33805690 PMCID: PMC7998122 DOI: 10.3390/s21062034] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 03/04/2021] [Accepted: 03/09/2021] [Indexed: 11/23/2022]
Abstract
In the midst of the COVID-19 pandemic, Remote Patient Monitoring technologies are highly important for clinicians and researchers. These connected-health technologies enable monitoring of patients and facilitate remote clinical trial research while reducing the potential for the spread of the novel coronavirus. There is a growing requirement for monitoring of the full 24 h spectrum of behaviours with a single research-grade sensor. This research describes a free-living and supervised protocol comparison study of the Verisense inertial measurement unit to assess physical activity and sleep parameters and compares it with the Actiwatch 2 actigraph. Fifteen adults (11 males, 23.4 ± 3.4 years and 4 females, 29 ± 12.6 years) wore both monitors for 2 consecutive days and nights in the free-living study while twelve adults (11 males, 23.4 ± 3.4 years and 1 female, 22 ± 0 years) wore both monitors for the duration of a gym-based supervised protocol study. Agreement of physical activity epoch-by-epoch data with activity classification of sedentary, light and moderate-to-vigorous activity and sleep metrics were evaluated using Spearman's rank-order correlation coefficients and Bland-Altman plots. For all activity, Verisense showed high agreement for both free-living and supervised protocol of r = 0.85 and r = 0.78, respectively. For physical activity classification, Verisense showed high agreement of sedentary activity of r = 0.72 for free-living but low agreement of r = 0.36 for supervised protocol; low agreement of light activity of r = 0.42 for free-living and negligible agreement of r = -0.04 for supervised protocol; and moderate agreement of moderate-to-vigorous activity of r = 0.52 for free-living with low agreement of r = 0.49 for supervised protocol. For sleep metrics, Verisense showed moderate agreement for sleep time and total sleep time of r = 0.66 and 0.54, respectively, but demonstrated high agreement for determination of wake time of r = 0.83. Overall, our results showed moderate-high agreement of Verisense with Actiwatch 2 for assessing epoch-by-epoch physical activity and sleep, but a lack of agreement for activity classifications. Future validation work of Verisense for activity cut-point potentially holds promise for 24 h continuous remote patient monitoring.
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Affiliation(s)
- Bríd McDevitt
- Department of Computing, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland;
| | - Lisa Moore
- Department of Science, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland; (L.M.); (W.S.)
| | - Nishat Akhtar
- Department of Computing, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland;
| | - James Connolly
- Department of Computing, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland;
| | - Rónán Doherty
- Department of Law & Humanities, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland;
| | - William Scott
- Department of Science, Letterkenny Institute of Technology, Letterkenny, F92 FC93 Donegal, Ireland; (L.M.); (W.S.)
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45
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Phillips SM, Summerbell C, Ball HL, Hesketh KR, Saxena S, Hillier-Brown FC. The Validity, Reliability, and Feasibility of Measurement Tools Used to Assess Sleep of Pre-school Aged Children: A Systematic Rapid Review. Front Pediatr 2021; 9:770262. [PMID: 34900870 PMCID: PMC8662360 DOI: 10.3389/fped.2021.770262] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 10/22/2021] [Indexed: 01/08/2023] Open
Abstract
Background: Sleep of pre-school aged children is important for their health and development, but there are currently no standards for measuring sleep in this age group. We aimed to examine the validity, reliability and feasibility of tools used to assess sleep of pre-school aged children. Methods: Studies were eligible for inclusion if they examined the validity and/or reliability and/or feasibility of a measurement tool used to examine sleep of pre-school aged children (aged 3-7 years). We systematically searched six electronic databases, grey literature and trial registries. We manually searched topic specific journals, reference and citations of included studies, and reference lists of existing reviews. We extracted data and conducted a risk of bias assessment on the included studies using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) risk of bias checklist. We used a narrative synthesis to present the results. Results: Sixteen studies met the inclusion criteria: these explored accelerometers (n = 3) and parental reported tools (n = 13; nine questionnaires, six diaries). Studies assessed construct validity (n = 3), criterion validity (n = 1), convergent validity (n = 13), test-retest reliability (n = 2), internal consistency (n = 4) and feasibility (n = 12). Most studies assessed the convergent validity of questionnaires and diaries compared with accelerometers, but the validity of accelerometers for sleep in this age group is unknown. Of studies with a low risk of bias, one sleep diary was shown to be valid for measuring sleep duration. No measurement tools were appropriate for determining sleep quality. Reporting of reliability and feasibility was minimal. Discussion: The evidence base in this field is limited, and most studies had high risk of bias. Future research on sleep in pre-school aged children should focus on assessing the validity, reliability and feasibility of accelerometers, which in turn will improve the quality of studies that assess questionnaires and diaries against accelerometers. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021230900; PROSPERO: CRD42021230900.
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Affiliation(s)
- Sophie M Phillips
- Department of Sport and Exercise Sciences, Durham University, Durham City, United Kingdom.,The Centre for Translational Research in Public Health (Fuse), Newcastle Upon Tyne, United Kingdom
| | - Carolyn Summerbell
- Department of Sport and Exercise Sciences, Durham University, Durham City, United Kingdom.,The Centre for Translational Research in Public Health (Fuse), Newcastle Upon Tyne, United Kingdom
| | - Helen L Ball
- The Centre for Translational Research in Public Health (Fuse), Newcastle Upon Tyne, United Kingdom.,Department of Anthropology, Infancy and Sleep Centre, Durham University, Durham City, United Kingdom
| | - Kathryn R Hesketh
- Department of Population Policy & Practice Research and Teaching, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.,Centre for Diet and Activity Research and MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Sonia Saxena
- School of Public Health, Imperial College London, London, United Kingdom
| | - Frances C Hillier-Brown
- The Centre for Translational Research in Public Health (Fuse), Newcastle Upon Tyne, United Kingdom.,Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, United Kingdom.,Human Nutrition Research Centre, Newcastle University, Newcastle Upon Tyne, United Kingdom.,Newcastle University Centre of Research Excellence in Healthier Lives, Newcastle University, Newcastle Upon Tyne, United Kingdom
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46
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Lüdtke S, Hermann W, Kirste T, Beneš H, Teipel S. An algorithm for actigraphy-based sleep/wake scoring: Comparison with polysomnography. Clin Neurophysiol 2021; 132:137-145. [DOI: 10.1016/j.clinph.2020.10.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 10/09/2020] [Accepted: 10/21/2020] [Indexed: 12/30/2022]
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47
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Courtney JB, Nuss K, Lyden K, Harrall KK, Glueck DH, Villalobos A, Hamman RF, Hebert JR, Hurley TG, Leiferman J, Li K, Alaimo K, Litt JS. Comparing the activPAL software's Primary Time in Bed Algorithm against Self-Report and van der Berg's Algorithm. MEASUREMENT IN PHYSICAL EDUCATION AND EXERCISE SCIENCE 2020; 25:212-226. [PMID: 34326627 PMCID: PMC8315620 DOI: 10.1080/1091367x.2020.1867146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The purpose of this study was to compare activPAL algorithm-estimated values for time in bed (TIB), wake time (WT) and bedtime (BT) against self-report and an algorithm developed by van der Berg and colleagues. Secondary analyses of baseline data from the Community Activity for Prevention Study (CAPS) were used in which adults ≥ 18 years wore the activPAL for seven days. Mixed-effects models compared differences between TIB, WT, and BT for all three methods. Bland-Altman plots examined agreement and the two-one-sided test examined equivalence. activPAL was not equivalent to self-report or van der Berg in estimating TIB, but was equivalent to self-report for estimating BT, and was equivalent to van der Berg for estimating WT. The activPAL algorithm requires adjustments before researchers can use it to estimate TIB. However, researchers can use activPAL's option to manually enter self-reported BT and WT to estimate TIB and better understand 24-hour movement patterns.
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Affiliation(s)
- J B Courtney
- Colorado State University, Fort Collins, Colorado
| | - K Nuss
- Colorado State University, Fort Collins, Colorado
| | - K Lyden
- University of Massachusetts, Amherst, Massachusetts
| | - K K Harrall
- University of Colorado School of Medicine, Aurora, Colorado
| | - D H Glueck
- University of Colorado School of Medicine, Aurora, Colorado
| | - A Villalobos
- Colorado School of Public Health, Aurora, Colorado
| | - R F Hamman
- Colorado School of Public Health, Aurora, Colorado
| | - J R Hebert
- University of South Carolina, Columbia, South Carolina
| | - T G Hurley
- University of South Carolina, Columbia, South Carolina
| | - J Leiferman
- Colorado School of Public Health, Aurora, Colorado
| | - K Li
- Colorado State University, Fort Collins, Colorado
| | - K Alaimo
- Michigan State University, East Lansing, Michigan
| | - J S Litt
- University of Colorado Boulder, Boulder, Colorado
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48
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Triplett AN, Kuenze CM. Characterizing body composition, cardiorespiratory fitness, and physical activity in women with anterior cruciate ligament reconstruction. Phys Ther Sport 2020; 48:54-59. [PMID: 33373903 DOI: 10.1016/j.ptsp.2020.12.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 12/14/2020] [Accepted: 12/16/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVES The purpose was to compare body composition, cardiorespiratory fitness, and physical activity (PA) engagement between women with ACLR and healthy controls. DESIGN Cross-sectional study. SETTING University laboratory. PARTICIPANTS Ten women with ACLR (time since surgery = 33.0 ± 18.3 months; age = 21.4 ± 3.8 years) and 10 healthy women (age = 21.9 ± 3.1 years) matched based on age (±2 years) and Tegner Activity Level (±2) participated. MAIN OUTCOME MEASURES Body fat percentage (%BF) was estimated using air displacement plethysmography, cardiorespiratory fitness was assessed via a graded cycle test, and PA was assessed using accelerometers worn for 7 days. Groups were compared using Mann-Whitney U tests. Time (minutes/week) spent in moderate-to-vigorous PA and step count (steps/day) were compared between groups using a one-way ANCOVA with 7-day total wear time as the only covariate. Statistical significance was established a priori as α ≤ 0.05. RESULTS Women with ACLR had significantly higher %BF than controls (ACLR = 32.7 ± 6.7%, healthy = 22.6 ± 4.9%; p < 0.01) and participated in less steps per day (ACLR = 6650 ± 3227 steps/day, healthy = 9361 ± 2626 steps/day; p = 0.02). CONCLUSIONS There may be persistent negative effects on body composition and PA engagement for women following ACLR. Low PA and high %BF have adverse consequences for premature mortality and morbidity; therefore, it is crucial to assess these characteristics and determine interventions to maintain PA and healthy body composition following ACLR.
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Affiliation(s)
- Ashley N Triplett
- Department of Kinesiology, Michigan State University, East Lansing, MI, USA.
| | - Christopher M Kuenze
- Department of Kinesiology, Michigan State University, East Lansing, MI, USA; Department of Orthopaedics, Michigan State University, East Lansing, MI, USA.
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49
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Walsh NP, Halson SL, Sargent C, Roach GD, Nédélec M, Gupta L, Leeder J, Fullagar HH, Coutts AJ, Edwards BJ, Pullinger SA, Robertson CM, Burniston JG, Lastella M, Le Meur Y, Hausswirth C, Bender AM, Grandner MA, Samuels CH. Sleep and the athlete: narrative review and 2021 expert consensus recommendations. Br J Sports Med 2020; 55:bjsports-2020-102025. [PMID: 33144349 DOI: 10.1136/bjsports-2020-102025] [Citation(s) in RCA: 186] [Impact Index Per Article: 46.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/30/2020] [Indexed: 12/22/2022]
Abstract
Elite athletes are particularly susceptible to sleep inadequacies, characterised by habitual short sleep (<7 hours/night) and poor sleep quality (eg, sleep fragmentation). Athletic performance is reduced by a night or more without sleep, but the influence on performance of partial sleep restriction over 1-3 nights, a more real-world scenario, remains unclear. Studies investigating sleep in athletes often suffer from inadequate experimental control, a lack of females and questions concerning the validity of the chosen sleep assessment tools. Research only scratches the surface on how sleep influences athlete health. Studies in the wider population show that habitually sleeping <7 hours/night increases susceptibility to respiratory infection. Fortunately, much is known about the salient risk factors for sleep inadequacy in athletes, enabling targeted interventions. For example, athlete sleep is influenced by sport-specific factors (relating to training, travel and competition) and non-sport factors (eg, female gender, stress and anxiety). This expert consensus culminates with a sleep toolbox for practitioners (eg, covering sleep education and screening) to mitigate these risk factors and optimise athlete sleep. A one-size-fits-all approach to athlete sleep recommendations (eg, 7-9 hours/night) is unlikely ideal for health and performance. We recommend an individualised approach that should consider the athlete's perceived sleep needs. Research is needed into the benefits of napping and sleep extension (eg, banking sleep).
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Affiliation(s)
- Neil P Walsh
- Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
| | - Shona L Halson
- School of Behavioural and Health Sciences, Australian Catholic University, Brisbane, Queensland, Australia
| | - Charli Sargent
- Appleton Institute for Behavioural Science, Central Queensland University, Adelaide, Queensland, Australia
| | - Gregory D Roach
- Appleton Institute for Behavioural Science, Central Queensland University, Adelaide, Queensland, Australia
| | - Mathieu Nédélec
- Laboratory Sport, Expertise and Performance (EA 7370), French National Institute of Sport (INSEP), Paris, France
| | - Luke Gupta
- English Institute of Sport, Bisham Abbey National High Performance Centre, Marlow, UK
| | | | - Hugh H Fullagar
- School of Sport, Exercise and Rehabilitation, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Aaron J Coutts
- School of Sport, Exercise and Rehabilitation, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Ben J Edwards
- Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
| | - Samuel A Pullinger
- Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
- Sports Science Department, Aspire Academy, Doha, Qatar
| | - Colin M Robertson
- School for Sport and Exercise Sciences, University of Bolton, Bolton, UK
| | - Jatin G Burniston
- Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool, UK
| | - Michele Lastella
- Appleton Institute for Behavioural Science, Central Queensland University, Adelaide, Queensland, Australia
| | - Yann Le Meur
- Laboratory Sport, Expertise and Performance (EA 7370), French National Institute of Sport (INSEP), Paris, France
| | | | - Amy M Bender
- Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
| | - Michael A Grandner
- Sleep and Health Research Program, University of Arizona, Tucson, Arizona, USA
| | - Charles H Samuels
- Cummings School of Medicine, University of Calgary, Calgary, Alberta, Canada
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50
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Kemp C, Pienaar PR, Henst RHP, Roden LC, Kolbe-Alexander TL, Rae DE. Assessing the validity and reliability and determining cut-points of the Actiwatch 2 in measuring physical activity. Physiol Meas 2020; 41:085001. [PMID: 32886650 DOI: 10.1088/1361-6579/aba80f] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The Actiwatch 2 (AW2) is a wrist-worn accelerometer typically used to measure sleep. Although it can measure physical activity, there is limited evidence supporting its validity. We assessed the validity and reliability of the AW2 to measure sedentary behavior and physical activity (light, moderate, vigorous intensities), and reported their respective count cut-points. APPROACH Twenty-eight males and 22 females completed a task battery comprising three sedentary tasks and six randomized physical activity tasks at varying intensities, whilst wearing the AW2, a reference accelerometry device (Actigraph GT3X) and a cardiopulmonary gas analyzer on two separate occasions. Validity was assessed using correlations (AW2 counts versus GT3X counts and metabolic equivalent (MET) values), reliability using Bland-Altman analyses, and cut-points were determined using receiver operating characteristic (ROC) area under the curve (AUC) analyses. MAIN RESULTS AW2 counts were positively correlated with GT3X counts (rho = 0.902, p < 0.001) and METs (rho = 0.900, p < 0.001). AW2-derived counts were comparable across independent assessment periods. Sedentary (AUC = 0.99, cut-point: 256 cpm) and vigorous activity (AUC = 0.95, cut-point: 720 cpm) were strongly characterized, and moderate activity (AUC = 0.66, cut-point: 418 cpm) was weakly characterized. SIGNIFICANCE The use of the AW2 in physical activity monitoring looks promising for sedentary behavior, moderate and vigorous activity, however, further validation is needed.
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Affiliation(s)
- Chadley Kemp
- Health through Physical Activity, Lifestyle and Sport Research Centre & Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, South Africa
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