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      Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis

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          Abstract

          A large number of studies have focused on the associations between single built environment (BE) characteristics and physical activity (PA). Combinations of BE characteristics offer a more comprehensive approach to identify the BE–PA associations. We aimed to examine the BE–PA associations in a cohort of elderly Hong Kong Chinese. Between 2001 and 2003, 3944 participants (65–98 years of age) were recruited and followed for a mean of 7.8 years. BE characteristics were assessed via geographic information system. PA levels were obtained using the Physical Activity Scale for the Elderly questionnaire at baseline and three follow-ups. Latent profile analysis was first conducted to classify the BE characteristics, and linear mixed-effects models were then used to explore the longitudinal associations between the BE classes and changes in the PA levels. Three classes of BE were identified. Class 3 (characterized by greater green space and sky view factor) demonstrated a significant decline in household PA (β = −1.26, 95% confidence interval: −2.20, −0.33) during the study period, and a slower decline in walking PA (1.19 (0.42, 1.95)) compared with Class 2 (characterized by a greater proportion of residential land use). Our results indicate that BE patterns characterized by high green space and a sky view factor may help promote the walking PA level.

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          An introduction to latent variable mixture modeling (part 1): overview and cross-sectional latent class and latent profile analyses.

          Pediatric psychologists are often interested in finding patterns in heterogeneous cross-sectional data. Latent variable mixture modeling is an emerging person-centered statistical approach that models heterogeneity by classifying individuals into unobserved groupings (latent classes) with similar (more homogenous) patterns. The purpose of this article is to offer a nontechnical introduction to cross-sectional mixture modeling.
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            The physical activity scale for the elderly (PASE): evidence for validity.

            We assessed the validity of the Physical Activity Scale for the Elderly (PASE) in a sample of sedentary adults (56 men, 134 women, mean age +/- [SD] 66.5+/-5.3 years) who volunteered to participate in a randomized controlled trial on the effect of aerobic conditioning on psychological function. Construct validity was established by correlating PASE scores with physiologic and performance characteristics: peak oxygen uptake, resting heart rate and blood pressure, percent body fat, and balance. The mean PASE scores were higher in men than in women (men = 145.8+/-78.0; women = 123.9+/-66.3, P<0.05), and in those age 55-64 years compared with those age 65 years and over (55-64 = 144.2+/-75.8; 65 and over = 118.9+/-63.9, P<0.05). PASE scores were also significantly higher in those who did not report a chronic health condition (cardiovascular disease, hypertension, cancer, or recent surgery). PASE scores were significantly associated (P<0.05) with peak oxygen uptake (r = 0.20), systolic blood pressure (r = -0.18) and balance score (r = 0.20). No significant associations of PASE score and diastolic blood pressure, resting heart rate, or percent body fat were noted. These results provide additional evidence for the validity of the PASE as a measure of physical activity suitable for use in epidemiology studies on the association of physical activity, health, and physical function in older individuals.
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              • Record: found
              • Abstract: not found
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              Rapid calculation of terrain parameters for radiation modeling from digital elevation data

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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
                15 June 2020
                June 2020
                : 17
                : 12
                : 4275
                Affiliations
                [1 ]Institute of Future Cities, The Chinese University of Hong Kong, Hong Kong 99077, China; yfchan@ 123456cuhk.edu.hk
                [2 ]Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong 99077, China; jason-leung@ 123456cuhk.edu.hk (J.L.); blancheyu@ 123456cuhk.edu.hk (B.Y.); tkwok@ 123456cuhk.edu.hk (T.K.)
                [3 ]Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong 99077, China; anjolu@ 123456cuhk.edu.hk (Z.-H.L.); jeanwoowong@ 123456cuhk.edu.hk (J.W.)
                [4 ]CUHK Jockey Club Institute of Ageing, The Chinese University of Hong Kong, Hong Kong 99077, China
                Author notes
                [* ]Correspondence: linjsh6@ 123456mail3.sysu.edu.cn (J.-S.L.); kevinlau@ 123456cuhk.edu.hk (K.K.-L.L.); Tel.: +852-39435399 (J.-S.L.); +852-39435398 (K.K.-L.L.)
                Author information
                https://orcid.org/0000-0003-3382-9096
                https://orcid.org/0000-0001-7593-3081
                Article
                ijerph-17-04275
                10.3390/ijerph17124275
                7344458
                32549289
                5f972c22-2c15-4f01-85a1-82bab4da54e8
                © 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
                : 29 March 2020
                : 12 June 2020
                Categories
                Article

                Public health
                built environment,built environment pattern,physical activity,latent profile analysis,cohort study

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