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      Urban environments and objectively-assessed physical activity and sedentary time in older Belgian and Chinese community dwellers: potential pathways of influence and the moderating role of physical function

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          Abstract

          Background

          Many studies have examined neighbourhood environmental correlates of older adults’ physical activity (PA) but only a few focused on sedentary time (ST). Only a small proportion of these studies used objective measures of PA/ST, such as accelerometer-assessed PA/ST, and only a couple employed accelerometer cut-points appropriate for older adults. Furthermore, although older adults experience declines in physical function as they age, there is a dearth of information on the impact of the neighbourhood environment on PA/ST in individuals with different levels of physical function.

          Methods

          We used data from two extant cross-sectional studies conducted in Hong Kong (China) and Ghent (Belgium) ( N = 829). Participants were recruited from pre-selected administrative units stratified by socio-economic status and walkability. Moderate-to-vigorous PA (MVPA) and ST were assessed for 7 days using accelerometers and cut-points developed for older adults. Objective neighbourhood environmental attributes within 400 m and 1 km buffers surrounding participants’ homes were quantified using Geographic Information Systems data. Lower extremity physical function was objectively assessed. Socio-demographic information was collected via interviews. Total, direct and indirect (mediated) effects of environmental attributes on MVPA and ST were estimated using generalised additive mixed models and the joint-significant test.

          Results

          Commercial/civic destination density and number of parks within 1 km from home showed positive total and direct effects on MVPA, and public transport density showed negative total and direct effects on ST, which were consistent across cities and physical function levels. The total and direct effects of residential density on MVPA depended on physical function, and those of residential density on ST differed by city. A complex network of potential inconsistent pathways linking all environmental attributes to MVPA and ST in the whole sample or in subgroups of participants was revealed.

          Discussion

          Access to parks and commercial/civic destinations appear to support older adults’ MVPA in different geographical and cultural contexts and irrespective of their physical function level. By supporting MVPA, these characteristics also contribute to a reduction in ST. The potential effects of public transport, recreational facilities and residential density are less straightforward and point at inconsistent effects that may depend on the geographical context and level of physical function.

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          Most cited references57

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          Travel demand and the 3Ds: Density, diversity, and design

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            Built environmental correlates of older adults’ total physical activity and walking: a systematic review and meta-analysis

            Background Identifying attributes of the built environment associated with health-enhancing levels of physical activity (PA) in older adults (≥65 years old) has the potential to inform interventions supporting healthy and active ageing. The aim of this study was to first systematically review and quantify findings on built environmental correlates of older adults’ PA, and second, investigate differences by type of PA and environmental attribute measurement. Methods One hundred articles from peer-reviewed and grey literature examining built environmental attributes related to total PA met inclusion criteria and relevant information was extracted. Findings were meta-analysed and weighted by article quality and sample size and then stratified by PA and environmental measurement method. Associations (p < .05) were found in relation to 26 individual built environmental attributes across six categories (walkability, residential density/urbanisation, street connectivity, access to/availability of destinations and services, infrastructure and streetscape, and safety) and total PA and walking specifically. Reported individual- and environmental-level moderators were also examined. Results Positive environmental correlates of PA, ranked by strength of evidence, were: walkability (p < .001), safety from crime (p < .001), overall access to destinations and services (p < .001), recreational facilities (p < .001), parks/public open space (p = .002) and shops/commercial destinations (p = .006), greenery and aesthetically pleasing scenery (p = .004), walk-friendly infrastructure (p = .009), and access to public transport (p = .016). There were 26 individual differences in the number of significant associations when the type of PA and environmental measurement method was considered. No consistent moderating effects on the association between built environmental attributes and PA were found. Conclusions Safe, walkable, and aesthetically pleasing neighbourhoods, with access to overall and specific destinations and services positively influenced older adults’ PA participation. However, when considering the environmental attributes that were sufficiently studied (i.e., in ≥5 separate findings), the strength of evidence of associations of specific categories of environment attributes with PA differed across PA and environmental measurement types. Future research should be mindful of these differences in findings and identify the underlying mechanisms. Higher quality research is also needed. Electronic supplementary material The online version of this article (doi:10.1186/s12966-017-0558-z) contains supplementary material, which is available to authorized users.
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              A survey for assessing physical activity among older adults.

              In 1988, the Yale Physical Activity Survey (YPAS) was designed and then administered to healthy older populations of volunteers (aged 60-86) to establish its 2-wk repeatability and relative validity. Among the 76 volunteers in the repeatability substudy, correlation coefficients between the two administrations of the survey for the eight YPAS summary indices ranged from 0.42 (P = 0.0002) to 0.65 (P = 0.0001). Among the 25 subjects in the validation substudy, weekly energy expenditure (r = -0.47; P = 0.01) and daily hours spent sitting (r = 0.53; P = 0.01) correlated with resting diastolic blood pressure, while the YPAS activity dimensions summary index (composed of questions on vigorous activity, leisurely walking, moving, sitting, and standing) correlated positively with estimated VO2max (r = 0.58; P = 0.004) and inversely with percent body fat (r = -0.43; P = 0.03). The YPAS index of vigorous activity also correlated positively with estimated VO2max (r = 0.60; P = 0.003) and the moving index correlated marginally with body mass index (r = -0.37; P = 0.06). We conclude that the YPAS demonstrates adequate repeatability, and some validity by correlating with several physiologic variables reflecting habitual physical activity. The value of the YPAS, however, in accurately assessing low intensity activity remains to be established.
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                Author and article information

                Contributors
                Ester.Cerin@acu.edu.au
                delfien.vandyck@ugent.be
                casperz1@connect.hku.hk
                Jelle.VanCauwenberg@UGent.be
                pclai@hku.hk
                Anthony.Barnett@acu.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
                9 June 2020
                9 June 2020
                2020
                : 17
                : 73
                Affiliations
                [1 ]GRID grid.411958.0, ISNI 0000 0001 2194 1270, Mary MacKillop Institute for Health Research, , Australian Catholic University, ; Melbourne, Victoria Australia
                [2 ]GRID grid.194645.b, ISNI 0000000121742757, School of Public Health, , The University of Hong Kong, ; Hong Kong, Hong Kong SAR China
                [3 ]GRID grid.1051.5, ISNI 0000 0000 9760 5620, Baker IDI Heart and Diabetes Institute, ; Melbourne, Victoria Australia
                [4 ]GRID grid.5342.0, ISNI 0000 0001 2069 7798, Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, , Ghent University, ; Ghent, Belgium
                [5 ]GRID grid.434261.6, ISNI 0000 0000 8597 7208, Research Foundation Flanders (FWO), ; Brussels, Belgium
                [6 ]GRID grid.5342.0, ISNI 0000 0001 2069 7798, Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, , Ghent University, ; Ghent, Belgium
                [7 ]GRID grid.194645.b, ISNI 0000000121742757, Department of Geography, Faculty of Social Sciences, , The University of Hong Kong, ; Hong Kong, Hong Kong SAR China
                Author information
                http://orcid.org/0000-0002-7599-165X
                Article
                979
                10.1186/s12966-020-00979-8
                7285720
                32517790
                1f3bab45-d474-4a4e-8708-02fba7b31710
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

                History
                : 31 March 2020
                : 4 June 2020
                Funding
                Funded by: University Grant Committee
                Award ID: HKU 741511H
                Award Recipient :
                Funded by: Research Foundation Flanders
                Award ID: B/13018/01
                Award ID: FWO12/PDO/158
                Award ID: FWO12I1117
                Funded by: Australian Research Council
                Award ID: FT14010085
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Nutrition & Dietetics
                walkability,accelerometry,older adults,europe,china,neighbourhood environment,sedentary time,moderate-to-vigorous physical activity,physical function

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