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      An Observational Study of Park Attributes and Physical Activity in Neighborhood Parks of Shanghai, China

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          Abstract

          Evidence shows that neighborhood parks provide opportunities for urban residents to participate in physical activity, but little is known about the space–behavior relationship of physical settings. This study explored the patterns of use in neighborhood parks, and focused particularly on visitors’ levels of activity supported by the specific landscape features and attributes. Behavior mapping data, including the users’ characteristics, their behaviors and activity levels, and the landscape characteristics, were obtained in three neighborhood parks of Shanghai, China. A total of 6126 park users were documented during the observations, and most of them were involved in sedentary activity. This study found that different environmental settings such as water, plaza, lawn, and architecture supported different types and levels of activity. Although more men than women visited the neighborhood parks, women were more active than men in park-based physical activity. In this Chinese sample, the findings demonstrate behavior mapping is a promising tool to measure park-based physical activity. As this study associated the levels of use with the landscape features, the results are expected to be useful in design practice for promoting regular physical activity.

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          Most cited references50

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          Time use and physical activity: a shift away from movement across the globe.

          Technology linked with reduced physical activity (PA) in occupational work, home/domestic work, and travel and increased sedentary activities, especially television viewing, dominates the globe. Using detailed historical data on time allocation, occupational distributions, energy expenditures data by activity, and time-varying measures of metabolic equivalents of task (MET) for activities when available, we measure historical and current MET by four major PA domains (occupation, home production, travel and active leisure) and sedentary time among adults (>18 years). Trends by domain for the United States (1965-2009), the United Kingdom (1961-2005), Brazil (2002-2007), China (1991-2009) and India (2000-2005) are presented. We also project changes in energy expenditure by domain and sedentary time (excluding sleep and personal care) to 2020 and 2030 for each of these countries. The use of previously unexplored detailed time allocation and energy expenditures and other datasets represents a useful addition to our ability to document activity and inactivity globally, but highlights the need for concerted efforts to monitor PA in a consistent manner globally, increase global PA and decrease sedentary behavior. Given the potential impact on weight gain and other cardiometabolic health risks, the differential declines in MET of activity and increases in sedentary time across the globe represent a major threat to global health. © 2012 The Authors. obesity reviews © 2012 International Association for the Study of Obesity.
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            Characteristics of urban parks associated with park use and physical activity: a review of qualitative research.

            Given that recent literature reviews on physical activity in urban parks deliberately excluded qualitative findings, we reviewed qualitative research on this topic informed by a published classification scheme based on quantitative research. Twenty-one studies met our inclusion criteria. These studies relied mainly on semi-structured interviews with individuals or in focus groups; only five studies involved in situ observation. Our synthesis aligns with previous quantitative research showing that attributes including safety, aesthetics, amenities, maintenance, and proximity are important for encouraging park use. Furthermore, our synthesis of qualitative research suggests that perceptions of the social environment entwine inextricably with perceptions of the physical environment. If so, physical attributes of parks as well as perceptions of these attributes (formed in relation to broader social contexts) may influence physical activity patterns. Both qualitative and quantitative methods provide useful information for interpreting such patterns, and in particular, when designing and assessing interventions intended to improve the amount and intensity of physical activity. 2010 Elsevier Ltd. All rights reserved.
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              Association of park size, distance, and features with physical activity in neighborhood parks.

              We studied whether park size, number of features in the park, and distance to a park from participants' homes were related to a park being used for physical activity. We collected observational data on 28 specific features from 33 parks. Adult residents in surrounding areas (n=380) completed 7-day physical activity logs that included the location of their activities. We used logistic regression to examine the relative importance of park size, features, and distance to participants' homes in predicting whether a park was used for physical activity, with control for perceived neighborhood safety and aesthetics. Parks with more features were more likely to be used for physical activity; size and distance were not significant predictors. Park facilities were more important than were park amenities. Of the park facilities, trails had the strongest relationship with park use for physical activity. Specific park features may have significant implications for park-based physical activity. Future research should explore these factors in diverse neighborhoods and diverse parks among both younger and older populations.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                20 March 2020
                March 2020
                : 17
                : 6
                : 2080
                Affiliations
                [1 ]Department of Landscape Architecture, College of Horticulture, Post-doctoral Research Station in Public Administration, Nanjing Agricultural University, Nanjing 210095, China
                [2 ]Department of Landscape Studies, Key Lab of Ecology and Energy Saving in High-density Human Settlements, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China; wuchzhao@ 123456vip.sina.com
                Author notes
                [* ]Correspondence: wang@ 123456njau.edu.cn ; Tel.: +86-25-8439-5262
                Article
                ijerph-17-02080
                10.3390/ijerph17062080
                7143081
                32245096
                e71f8afb-1d6f-4fc8-aaa2-8c66eb88fa83
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 14 February 2020
                : 18 March 2020
                Categories
                Article

                Public health
                park usage,landscape features,levels of use,behavior mapping,health benefits
                Public health
                park usage, landscape features, levels of use, behavior mapping, health benefits

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