11
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Validity of objective methods for measuring sedentary behaviour in older adults: a systematic review

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The evidence showing the ill health effects of prolonged sedentary behaviour (SB) is growing. Most studies of SB in older adults have relied on self-report measures of SB. However, SB is difficult for older adults to recall and objective measures that combine accelerometry with inclinometry are now available for more accurately assessing SB. The aim of this systematic review was to assess the validity and reliability of these accelerometers for the assessment of SB in older adults.

          Methods

          EMBASE, PubMed and EBSCOhost databases were searched for articles published up to December 13, 2017. Articles were eligible if they: a) described reliability, calibration or validation studies of SB measurement in healthy, community-dwelling individuals, b) were published in English, Portuguese or Spanish, and c) were published or in press as journal articles in peer-reviewed journals.

          Results

          The review identified 15 studies in 17 papers. Of the included studies, 11 assessed the ActiGraph accelerometer. Of these, three examined reliability only, seven (in eight papers) examined validity only and one (in two papers) examined both. The strongest evidence from the studies reviewed is from studies that assessed the validity of the ActiGraph. These studies indicate that analysis of the data using 60-s epochs and a vertical magnitude cut-point < 200 cpm or using 30- or 60-s epochs with a machine learning algorithm provides the most valid estimates of SB. Non-wear algorithms of 90+ consecutive zeros is also suggested for the ActiGraph.

          Conclusions

          Few studies have examined the reliability and validity of accelerometers for measuring SB in older adults. Studies to date suggest that the criteria researchers use for classifying an epoch as sedentary instead of as non-wear time (e.g., the non-wear algorithm used) may need to be different for older adults than for younger adults. The required number of hours and days of wear for valid estimates of SB in older adults was not clear from studies to date. More older-adult-specific validation studies of accelerometers are needed, to inform future guidelines on the appropriate criteria to use for analysis of data from different accelerometer brands.

          Trial registration

          PROSPERO ID# CRD42017080754 registered December 12, 2017.

          Electronic supplementary material

          The online version of this article (10.1186/s12966-018-0749-2) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references36

          • Record: found
          • Abstract: found
          • Article: not found

          Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine.

          The clinical performance of a laboratory test can be described in terms of diagnostic accuracy, or the ability to correctly classify subjects into clinically relevant subgroups. Diagnostic accuracy refers to the quality of the information provided by the classification device and should be distinguished from the usefulness, or actual practical value, of the information. Receiver-operating characteristic (ROC) plots provide a pure index of accuracy by demonstrating the limits of a test's ability to discriminate between alternative states of health over the complete spectrum of operating conditions. Furthermore, ROC plots occupy a central or unifying position in the process of assessing and using diagnostic tools. Once the plot is generated, a user can readily go on to many other activities such as performing quantitative ROC analysis and comparisons of tests, using likelihood ratio to revise the probability of disease in individual subjects, selecting decision thresholds, using logistic-regression analysis, using discriminant-function analysis, or incorporating the tool into a clinical strategy by using decision analysis.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Validation of wearable monitors for assessing sedentary behavior.

            A primary barrier to elucidating the association between sedentary behavior (SB) and health outcomes is the lack of valid monitors to assess SB in a free-living environment. The purpose of this study was to examine the validity of commercially available monitors to assess SB. Twenty overweight (mean ± SD: body mass index = 33.7 ± 5.7 kg·m(-2)) inactive, office workers age 46.5 ± 10.7 yr were directly observed for two 6-h periods while wearing an activPAL (AP) and an ActiGraph GT3X (AG). During the second observation, participants were instructed to reduce sitting time. We assessed the validity of the commonly used cut point of 100 counts per minute (AG100) and several additional AG cut points for defining SB. We used direct observation (DO) using focal sampling with duration coding to record either sedentary (sitting/lying) or nonsedentary behavior. The accuracy and precision of the monitors and the sensitivity of the monitors to detect reductions in sitting time were assessed using mixed-model repeated-measures analyses. On average, the AP and the AG100 underestimated sitting time by 2.8% and 4.9%, respectively. The correlation between the AP and DO was R2 = 0.94, and the AG100 and DO sedentary minutes was R2 = 0.39. Only the AP was able to detect reductions in sitting time. The AG 150-counts-per-minute threshold demonstrated the lowest bias (1.8%) of the AG cut points. The AP was more precise and more sensitive to reductions in sitting time than the AG, and thus, studies designed to assess SB should consider using the AP. When the AG monitor is used, 150 counts per minute may be the most appropriate cut point to define SB.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Assessment of physical activity by self-report: status, limitations, and future directions.

                Bookmark

                Author and article information

                Contributors
                k.heesch@qut.edu.au
                hill.bob07@gmail.com
                nicolas.aguilar@ufrontera.cl
                jannique.vanuffelen@kuleuven.be
                toby.pavey@qut.edu.au
                Journal
                Int J Behav Nutr Phys Act
                Int J Behav Nutr Phys Act
                The International Journal of Behavioral Nutrition and Physical Activity
                BioMed Central (London )
                1479-5868
                26 November 2018
                26 November 2018
                2018
                : 15
                : 119
                Affiliations
                [1 ]ISNI 0000000089150953, GRID grid.1024.7, Institute of Health and Biomedical Innovation, , Queensland University of Technology, ; Brisbane, Australia
                [2 ]ISNI 0000000089150953, GRID grid.1024.7, School of Public Health and Social Work, , Queensland University of Technology, ; Brisbane, Australia
                [3 ]ISNI 0000 0001 2287 9552, GRID grid.412163.3, Department of Physical Education, Sports and Recreation, , Universidad de La Frontera, ; Temuco, Chile
                [4 ]ISNI 0000 0001 0668 7884, GRID grid.5596.f, Department of Movement Sciences, Physical Activity, Sports and Health Research Group, , KU Leuven - University of Leuven, ; Leuven, Belgium
                [5 ]ISNI 0000000089150953, GRID grid.1024.7, School of Exercise and Nutrition Sciences, , Queensland University of Technology, ; Brisbane, Australia
                Author information
                http://orcid.org/0000-0003-1931-3683
                Article
                749
                10.1186/s12966-018-0749-2
                6260565
                30477509
                e06f2d3e-a88f-48a3-b22c-77012c06e0cc
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 12 June 2018
                : 5 November 2018
                Funding
                Funded by: Queensland University of Technology Professional Development Award.
                Funded by: International Collaboration Program (Chile)
                Award ID: CONICYT-CNPQ 441970-2016/8 (DIUFRO DIE17-0006).
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Nutrition & Dietetics
                accelerometer,older adults,measurement,sedentary time,sitting
                Nutrition & Dietetics
                accelerometer, older adults, measurement, sedentary time, sitting

                Comments

                Comment on this article