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      Descriptive epidemiology of changes in objectively measured sedentary behaviour and physical activity: six-year follow-up of the EPIC-Norfolk cohort

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          Abstract

          Background

          Sedentary time increases and total physical activity decreases with age. The magnitude and correlates of changes in sedentary time, light-intensity physical activity (LPA), moderate-to-vigorous intensity physical activity (MVPA), and overall physical activity remain unclear. We quantified these changes and identified their individual and sociodemographic correlates.

          Methods

          We used data from 1259 adults (67.8 ± 6.9 years; 41.9% women) who participated in the EPIC-Norfolk Study. Activity was assessed at baseline (2004–2011) and follow-up (2012–2016) for 7 days using accelerometers. Potential correlates of change were specified a priori. We used unadjusted and adjusted sex-stratified linear regressions to identify correlates of change.

          Results

          Only 3.7% of adults met the current MVPA recommendations. Sedentary time increased by 3.0 min/day/year (SD = 12.3). LPA, MVPA, and overall PA decreased by 1.7 min/day/year (SD = 5.4), 3.0 min/day/year (SD = 6.0), and 8.8 cpm/year (SD = 18.8), respectively. Correlates of greater rates of increase in sedentary time included older age and higher BMI in men, and older age, higher BMI, smoking, and urban dwelling in women. Correlates of greater rates of decrease in physical activity included older age, higher BMI, living alone, depression, car use, and/or fair/poor self-rated health in men, and older age, higher BMI, depression, smoking, and/or urban dwelling in women (e.g. depressed women had a 1.0 min/day/year greater rate of decline in MVPA than non-depressed women, 95% CI -1.8, − 0.2).

          Conclusions

          Most (> 95%) adults are insufficiently active. Sedentary time increases and LPA, MVPA and overall physical activity decreases over time, with more pronounced rates of change observed in specific sub-groups (e.g. among older and depressed adults). To promote active living, the correlates of these changes should be considered in future interventions.

          Electronic supplementary material

          The online version of this article (10.1186/s12966-018-0746-5) contains supplementary material, which is available to authorized users.

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          Most cited references19

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          Comparison of three generations of ActiGraph™ activity monitors in children and adolescents.

          In this study, we evaluated agreement among three generations of ActiGraph™ accelerometers in children and adolescents. Twenty-nine participants (mean age = 14.2 ± 3.0 years) completed two laboratory-based activity sessions, each lasting 60 min. During each session, participants concurrently wore three different models of the ActiGraph™ accelerometers (GT1M, GT3X, GT3X+). Agreement among the three models for vertical axis counts, vector magnitude counts, and time spent in moderate-to-vigorous physical exercise (MVPA) was evaluated by calculating intraclass correlation coefficients and Bland-Altman plots. The intraclass correlation coefficient for total vertical axis counts, total vector magnitude counts, and estimated MVPA was 0.994 (95% CI = 0.989-0.996), 0.981 (95% CI = 0.969-0.989), and 0.996 (95% CI = 0.989-0.998), respectively. Inter-monitor differences for total vertical axis and vector magnitude counts ranged from 0.3% to 1.5%, while inter-monitor differences for estimated MVPA were equal to or close to zero. On the basis of these findings, we conclude that there is strong agreement between the GT1M, GT3X, and GT3X+ activity monitors, thus making it acceptable for researchers and practitioners to use different ActiGraph™ models within a given study.
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            Physical Activity and Transitioning to Retirement

            Context The transition to retirement has been recognized as a turning point in determining physical activity and may present a critical “window” for promoting physical activity. This systematic review examined changes in physical activity across the retirement transition, whether these changes vary by SES, and what is known about predictors of these changes. Evidence acquisition Peer-reviewed articles and gray research literature, published between January 1980 and July 2010 in any country or language, were identified. Longitudinal and cross-sectional observational studies were included. Study selection, quality assessment, data extraction, and synthesis were performed between July 2010 and March 2011. A harvest plot approach to visualizing the findings was combined with a narrative synthesis. Evidence synthesis Of the 19 included studies, 11 examined changes in exercise, or leisure-time physical activity, or both; seven, changes in total physical activity; and one study, both. Most studies used single-item measures of physical activity (n=9) or custom questionnaires (n=6). Results suggested that exercise and leisure-time physical activity increased after the retirement transition, whereas findings regarding total physical activity were inconsistent. SES moderated the association, with low SES being associated with a decrease and high SES with an increase in physical activity. Evidence on predictors of change was scarce and methodologically weak. Conclusions Evidence suggests that exercise and leisure-time physical activity increases after the retirement transition, but whether and how total physical activity changes is unclear. Imprecise physical activity measures used in primary studies limit conclusions, and this highlights the need for further research.
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              Recommendations for physical activity in older adults.

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                Author and article information

                Contributors
                samantha.hajna@mrc-epid.cam.ac.uk
                Tom.White@mrc-epid.cam.ac.uk
                Soren.Brage@mrc-epid.cam.ac.u
                ev234@medschl.cam.ac.uk
                Kate.Westgate@mrc-epid.cam.ac.uk
                A.P.Jones@uea.ac.uk
                robert.luben@phpc.cam.ac.uk
                Kk101@medschl.cam.ac.uk
                nick.wareham@mrc-epid.cam.ac.uk
                ProfGP@medschl.cam.ac.uk
                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
                27 November 2018
                27 November 2018
                2018
                : 15
                : 122
                Affiliations
                [1 ]ISNI 0000000121885934, GRID grid.5335.0, MRC Epidemiology Unit, , University of Cambridge, ; Cambridge, UK
                [2 ]ISNI 0000 0001 1092 7967, GRID grid.8273.e, Norwich Medical School, , University of East Anglia, ; Norwich, UK
                [3 ]ISNI 0000000121885934, GRID grid.5335.0, Department of Public Health and Primary Care, , University of Cambridge, ; Cambridge, UK
                Author information
                http://orcid.org/0000-0002-0431-2787
                Article
                746
                10.1186/s12966-018-0746-5
                6257971
                30482229
                00b4a5d5-875f-4a72-b27a-941e04048164
                © 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
                : 21 May 2018
                : 4 November 2018
                Funding
                Funded by: Medical Research Council
                Funded by: Canadian Institutes of Health Research
                Award ID: FRN 146766
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004628, MedImmune;
                Funded by: FundRef http://dx.doi.org/10.13039/501100000274, British Heart Foundation;
                Funded by: FundRef http://dx.doi.org/10.13039/501100000289, Cancer Research UK;
                Funded by: FundRef http://dx.doi.org/10.13039/501100000269, Economic and Social Research Council;
                Funded by: FundRef http://dx.doi.org/10.13039/501100000272, National Institute for Health Research;
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Funded by: Clinical Academic Reserve
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Nutrition & Dietetics
                sedentary time,physical activity,accelerometry
                Nutrition & Dietetics
                sedentary time, physical activity, accelerometry

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