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      “Not just another walking program”: Everyday Activity Supports You (EASY) model—a randomized pilot study for a parallel randomized controlled trial

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          Abstract

          Background

          Maintaining physical activity is an important goal with positive health benefits, yet many people spend most of their day sitting. Our Everyday Activity Supports You (EASY) model aims to encourage movement through daily activities and utilitarian walking. The primary objective of this phase was to test study feasibility (recruitment and retention rates) for the EASY model.

          Methods

          This 6-month study took place in Vancouver, Canada, from May to December 2013, with data analyses in February 2014. Participants were healthy, inactive, community-dwelling women aged 55–70 years. We recruited through advertisements in local community newspapers and randomized participants using a remote web service. The model included the following: group-based education and social support, individualized physical activity prescription (called Activity 4-1-1), and use of a Fitbit activity monitor. The control group received health-related information only. The main outcome measures were descriptions of study feasibility (recruitment and retention rates). We also collected information on activity patterns (ActiGraph GT3X+ accelerometers) and health-related outcomes such as body composition (height and weight using standard techniques), blood pressure (automatic blood pressure monitor), and psychosocial variables (questionnaires).

          Results

          We advertised in local community newspapers to recruit participants. Over 3 weeks, 82 participants telephoned; following screening, 68% (56/82) met the inclusion criteria and 45% (25/56) were randomized by remote web-based allocation. This included 13 participants in the intervention group and 12 participants in the control group (education). At 6 months, 12/13 (92%) intervention and 8/12 (67%) control participants completed the final assessment. Controlling for baseline values, the intervention group had an average of 2,080 [95% confidence intervals (CIs) 704, 4,918] more steps/day at 6 months compared with the control group. There was an average between group difference in weight loss of −4.3 [95% CI −6.22, −2.40] kg and reduction in diastolic blood pressure of −8.54 [95% CI −16.89, −0.198] mmHg, in favor of EASY.

          Conclusions

          The EASY pilot study was feasible to deliver; there was an increase in physical activity and reduction in weight and blood pressure for intervention participants at 6 months.

          Trial registration

          ClinicalTrials.gov identifier: NCT01842061

          Electronic supplementary material

          The online version of this article (doi:10.1186/2055-5784-1-4) contains supplementary material, which is available to authorized users.

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          Most cited references37

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          Calibration of the Computer Science and Applications, Inc. accelerometer.

          We established accelerometer count ranges for the Computer Science and Applications, Inc. (CSA) activity monitor corresponding to commonly employed MET categories. Data were obtained from 50 adults (25 males, 25 females) during treadmill exercise at three different speeds (4.8, 6.4, and 9.7 km x h(-1)). Activity counts and steady-state oxygen consumption were highly correlated (r = 0.88), and count ranges corresponding to light, moderate, hard, and very hard intensity levels were or = 9499 cnts x min(-1), respectively. A model to predict energy expenditure from activity counts and body mass was developed using data from a random sample of 35 subjects (r2 = 0.82, SEE = 1.40 kcal x min(-1)). Cross validation with data from the remaining 15 subjects revealed no significant differences between actual and predicted energy expenditure at any treadmill speed (SEE = 0.50-1.40 kcal x min(-1)). These data provide a template on which patterns of activity can be classified into intensity levels using the CSA accelerometer.
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            Physical activity in U.S.: adults compliance with the Physical Activity Guidelines for Americans.

            To date, no study has objectively measured physical activity levels among U.S. adults according to the 2008 Physical Activity Guidelines for Americans (PAGA). The purpose of this study was to assess self-reported and objectively measured physical activity among U.S. adults according to the PAGA. Using data from the NHANES 2005-2006, the PAGA were assessed using three physical activity calculations: moderate plus vigorous physical activity ≥150 minutes/week (MVPA); moderate plus two instances of vigorous physical activity ≥150 minutes/week (M2VPA); and time spent above 3 METs ≥500 MET-minutes/week (METPA). Self-reported physical activity included leisure, transportation, and household activities. Objective activity was measured using Actigraph accelerometers that were worn for 7 consecutive days. Analyses were conducted in 2009-2010. U.S. adults reported 324.5 ± 18.6 minutes/week (M ± SE) of moderate physical activity and 73.6 ± 3.9 minutes/week of vigorous physical activity, although accelerometry estimates were 45.1 ± 4.6 minutes/week of moderate physical activity and 18.6 ± 6.6 minutes/week of vigorous physical activity. The proportion of adults meeting the PAGA according to M2VPA was 62.0% for self-report and 9.6% for accelerometry. According to the NHANES 2005-2006, fewer than 10% of U.S. adults met the PAGA according to accelerometry. However, physical activity estimates vary substantially depending on whether self-reported or measured via accelerometer. Copyright © 2011 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
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              The development of a comorbidity index with physical function as the outcome.

              Physical function is an important measure of success of many medical and surgical interventions. Ability to adjust for comorbid disease is essential in health services research and epidemiologic studies. Current indices have primarily been developed with mortality as the outcome, and are not sensitive enough when the outcome is physical function. The objective of this study was to develop a self-administered Functional Comorbidity Index with physical function as the outcome. The index was developed using two databases: a cross-sectional, simple random sample of 9,423 Canadian adults and a sample of 28,349 US adults seeking treatment for spine ailments. The primary outcome measure was the SF-36 physical function (PF) subscale. The Functional Comorbidity Index, an 18-item list of diagnoses, showed stronger association with physical function (model R(2) = 0.29) compared with the Charlson (model R(2) = 0.18), and Kaplan-Feinstein (model R(2) = 0.07) indices. The Functional Comorbidity Index correctly classified patients into high and low function, in 77% of cases. This new index contains diagnoses such as arthritis not found on indices used to predict mortality, and the FCI explained more variance in PF scores compared to indices designed to predict mortality.
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                Author and article information

                Contributors
                Maureen.Ashe@ubc.ca
                mwinters@sfu.ca
                choppmann@psych.ubc.ca
                martin.dawes@familymed.ubc.ca
                p.gardiner@sph.uq.edu.au
                lora.giangregorio@uwaterloo.ca
                kenneth.madden@ubc.ca
                Megan.McAllister@hiphealth.ca
                ggf.wong@gmail.com
                Joseph.Puyat@hiphealth.ca
                singerjoel@hotmail.com
                simsg@mail.ubc.ca
                heather.mckay@ubc.ca
                Journal
                Pilot Feasibility Stud
                Pilot Feasibility Stud
                Pilot and Feasibility Studies
                BioMed Central (London )
                2055-5784
                12 January 2015
                12 January 2015
                2015
                : 1
                : 4
                Affiliations
                [1 ]Centre for Hip Health and Mobility, 7F-2635 Laurel Street, Vancouver, BC V5Z 1 M9 Canada
                [2 ]ISNI 0000 0001 2288 9830, GRID grid.17091.3e, Department of Family Practice, , University of British Columbia (UBC), ; 320-5950 University Boulevard, Vancouver, BC V6T 1Z3 Canada
                [3 ]ISNI 0000 0004 1936 7494, GRID grid.61971.38, Faculty of Health Sciences, , Simon Fraser University, ; Blusson Hall Rm 11522, 8888 University Drive, Burnaby, BC V5A 1S6 Canada
                [4 ]ISNI 0000 0001 2288 9830, GRID grid.17091.3e, , UBC Department of Psychology, ; 2136 West Mall, Vancouver, BC V6T 1Z4 Canada
                [5 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, School of Public Health, , The University of Queensland, ; Level 3, Public Health Building, Herston Rd, Herston, Queensland 4006 Australia
                [6 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, Translating Research Into Practice (TRIP) Centre, , Mater Research Institute-The University of Queensland, ; Level 3 Aubigny Place, Raymond Terrace, South Brisbane, Queensland 4101 Australia
                [7 ]ISNI 0000 0000 8644 1405, GRID grid.46078.3d, Department of Kinesiology, , University of Waterloo, ; 200 University Ave W, Waterloo, Ontario N1H 8 K4 Canada
                [8 ]UBC Department of Medicine, Division of Geriatric Medicine, Room 7185, 2775 Laurel Street, Vancouver, BC N2L 3G1 Canada
                [9 ]ISNI 0000 0001 2288 9830, GRID grid.17091.3e, , UBC School of Population and Public Health, ; 2206 East Mall, Vancouver, BC V6T 1Z3 Canada
                [10 ]ISNI 0000 0000 8589 2327, GRID grid.416553.0, Centre for Health Evaluation and Outcomes Sciences, , St. Paul’s Hospital, ; 588-1081 Burrard Street, Vancouver, BC V6Z 1Y6 Canada
                [11 ]ISNI 0000 0001 2288 9830, GRID grid.17091.3e, , UBC Department of Orthopaedics, ; 3114-910 West 10th Avenue, Vancouver, BC V5Z 1 M9 Canada
                Article
                3
                10.1186/2055-5784-1-4
                5066523
                dd02ac11-d084-4a23-bd6e-56ac12561263
                © Ashe et al.; licensee BioMed Central. 2015

                This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
                : 27 May 2014
                : 5 November 2014
                Categories
                Research
                Custom metadata
                © The Author(s) 2015

                sedentary lifestyle,motor activity,self-management,retirement,women

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