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      Replacing sedentary time with physical activity: effects on health-related quality of life in older Japanese adults

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          Abstract

          Background

          The isotemporal substitution (IS) approach can be used to assess the effect of replacing one activity with the equal duration of another activity on relevant outcomes. This study examined the associations of objectively assessed sedentary behavior (SB) and physical activity (PA) with health-related quality of life (HRQOL) in older Japanese adults, using the IS approach.

          Methods

          Participants were 287 older Japanese adults (aged 65–84 years) who wore accelerometers for at least 7 days. We calculated the average daily time spent in SB (≤1.5 METs); light-intensity PA (LPA: > 1.5 to < 3.0 METs); and moderate- to vigorous-intensity PA (MVPA: ≥3.0 METs) per day. HRQOL was assessed using the Medical Outcomes Survey Short Form-8 questionnaire.

          Results

          The IS models showed replacing SB or LPA with MVPA to be significantly associated with better physical component summary scores. Replacing SB with MVPA was marginally associated with better mental component summary scores.

          Conclusion

          These findings indicate that replacing SB with the same amount of MVPA may contribute to better physical HRQOL in older adults.

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          Most cited references16

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          Review of community prevalence of depression in later life

          Despite considerable interest, there is no consensus regarding the prevalence of depression in later life.
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            Classifying household and locomotive activities using a triaxial accelerometer.

            The purpose of this study was to develop a new algorithm for classifying physical activity into either locomotive or household activities using a triaxial accelerometer. Sixty-six volunteers (31 men and 35 women) participated in this study and were separated randomly into validation and cross-validation groups. All subjects performed 12 physical activities (personal computer work, laundry, dishwashing, moving a small load, vacuuming, slow walking, normal walking, brisk walking, normal walking while carrying a bag, jogging, ascending stairs and descending stairs) while wearing a triaxial accelerometer in a controlled laboratory setting. Each of the three signals from the triaxial accelerometer was passed through a second-order Butterworth high-pass filter to remove the gravitational acceleration component from the signal. The cut-off frequency was set at 0.7 Hz based on frequency analysis of the movements conducted. The ratios of unfiltered to filtered total acceleration (TAU/TAF) and filtered vertical to horizontal acceleration (VAF/HAF) were calculated to determine the cut-off value for classification of household and locomotive activities. When the TAU/TAF discrimination cut-off value derived from the validation group was applied to the cross-validation group, the average percentage of correct discrimination was 98.7%. When the VAF/HAF value similarly derived was applied to the cross-validation group, there was relatively high accuracy but the lowest percentage of correct discrimination was 63.6% (moving a small load). These findings suggest that our new algorithm using the TAU/TAF cut-off value can accurately classify household and locomotive activities. Copyright 2010 Elsevier B.V. All rights reserved.
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              Quality-of-life in elderly patients with cancer: a short review.

              Prolongation of survival and maintenance or improvement of health-related quality-of-life (HRQoL) are the two important goals within the treatment of individual patients. Due to the severity of symptoms and the toxicity of treatment, HRQoL has become a major area of concern when treating cancer patients in general and elderly patients in particular. We present a literature review of HRQoL aspects in elderly patients with cancer and especially address the topic whether impairments in the different tools of a comprehensive geriatric assessment (CGA) are associated with decreased HRQoL in elderly cancer patients. Elderly cancer patients tend to weight their HRQoL as more important than gain in survival, when compared to younger patients. An age-dependent decrease in different scales of HRQoL is reported in patients and normative samples. HRQoL is also a predictor of survival. The variation of HRQoL can be used in trials comparing different treatment options. In individual patients, regular measurement of HRQoL aims to improve patients-centred care. Age related impairments of different areas of CGA are associated with decreased HRQoL in elderly cancer patients. HRQoL is an important outcome with elderly cancer patients and should be assessed regularly and thoroughly.
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                Author and article information

                Contributors
                +81-3-3299-2361 , yasunaga@bunka.ac.jp
                shibata.ai.ga@u.tsukuba.ac.jp
                ishiikaori@waseda.jp
                inoue@tokyo-med.ac.jp
                takemi.sugiyama@acu.edu.au
                Neville.Owen@baker.edu.au
                koka@waseda.jp
                Journal
                Health Qual Life Outcomes
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central (London )
                1477-7525
                27 December 2018
                27 December 2018
                2018
                : 16
                : 240
                Affiliations
                [1 ]GRID grid.443789.5, Faculty of Liberal Arts and Sciences, , Bunka Gakuen University, ; 3-22-1 Yoyogi, Shibuya-ku, Tokyo Japan
                [2 ]ISNI 0000 0001 2369 4728, GRID grid.20515.33, Faculty Health and Sport Sciences, , University of Tsukuba, ; Tsukuba, Ibaraki Japan
                [3 ]ISNI 0000 0004 1936 9975, GRID grid.5290.e, Faculty of Sport Sciences, , Waseda University, ; Tokorozawa, Saitama Japan
                [4 ]ISNI 0000 0001 0663 3325, GRID grid.410793.8, Department of Preventive Medicine and Public Health, , Tokyo Medical University, ; Shinjuku-ku, Tokyo Japan
                [5 ]ISNI 0000 0001 2194 1270, GRID grid.411958.0, Mary MacKillop Institute for Health Research, , Australian Catholic University, ; Melbourne, VIC Australia
                [6 ]ISNI 0000 0004 0409 2862, GRID grid.1027.4, Centre for Urban Transitions, , Swinburne University of Technology, ; Hawthorn, VIC Australia
                [7 ]ISNI 0000 0000 9760 5620, GRID grid.1051.5, Behavioural Epidemiology Laboratory, , Baker Heart and Diabetes Institute, ; Melbourne, VIC Australia
                Author information
                http://orcid.org/0000-0002-9924-4042
                Article
                1067
                10.1186/s12955-018-1067-8
                6307251
                30587199
                913c047e-63bc-4d44-b5e8-23629dbe916b
                © 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
                : 14 June 2018
                : 11 December 2018
                Funding
                Funded by: JSPS KAKENHI Grant
                Award ID: 15K01534
                Award ID: 15K01647
                Award Recipient :
                Funded by: MEXT-Supported Program for the Strategic Research Foundation at Private Universities
                Award ID: S1511017
                Award Recipient :
                Categories
                Short Report
                Custom metadata
                © The Author(s) 2018

                Health & Social care
                accelerometer,physical health,lifestyle activity,mental health,sitting
                Health & Social care
                accelerometer, physical health, lifestyle activity, mental health, sitting

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