{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T10:02:53Z","timestamp":1791453773436,"version":"4.3.3"},"reference-count":86,"publisher":"Human Kinetics","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,1]]},"abstract":"\n \n Background<\/jats:bold>\n :\n <\/jats:italic>\n Our aim was to determine adult\u2019s trajectories of meeting 150\u00a0minutes per week of physical activity (PA) and assess associations between environmental features (and changes in these) with trajectory membership.\n \n Methods<\/jats:bold>\n :\n <\/jats:italic>\n We used data from the How Areas in Brisbane Influence HealTh and AcTivity (HABITAT)\u00a0cohort study, Australia. Data on PA were assessed in 2007, 2009, 2011, 2013, and 2016 among individuals aged 45\u201360\u00a0years. At each survey, data on length of bike paths, area of parks, residential density, street connectivity, land use mix, and number of street lights were measured. PA trajectories were determined using group-based trajectory modeling. Group differences were analyzed based on median and interquartile range\u00a0(IQR) of environmental features and associations were assessed through multinomial logistic regression.\n \n Results<\/jats:bold>\n :\n <\/jats:italic>\n We identified 4 trajectories of meeting PA guidelines:\n low<\/jats:italic>\n (14.4%),\n decreasing<\/jats:italic>\n (13.7%),\n increasing<\/jats:italic>\n (30.4%), and\n high<\/jats:italic>\n (41.5%). Median (IQR) values of environmental features were very similar among trajectory groups (\n P<\/jats:italic>\n \u2009>\u2009.05) with relatively little change between initial (2007) and final (2016) timepoints. Associations with trajectory membership were observed for bike path length among participants in the mid-tertile of the\n low<\/jats:italic>\n trajectory group compared with the\n high<\/jats:italic>\n trajectory (odds ratio\u00a0[OR]\u2009=\u20090.55; 95% confidence interval\u00a0[CI], 0.36\u20130.84); and for street connectivity in the\n low<\/jats:italic>\n (OR\u2009=\u20090.67; 95% CI, 0.51\u20130.87), and\n increasing<\/jats:italic>\n trajectory groups (OR = 0.76; 95% CI, 0.61\u20130.94).\n \n Conclusion<\/jats:bold>\n :\n <\/jats:italic>\n In the context of this \u201clivable city,\u201d environmental features did not thoroughly predict patterns of PA among mid-age adults. Environmental predictors of PA deserve further attention, especially in low-income and middle-income countries, as active friendly environments have important connotations for various types of PA.\n <\/jats:p>","DOI":"10.1123\/jpah.2024-0892","type":"journal-article","created":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T06:31:48Z","timestamp":1759991508000},"page":"70-80","source":"Crossref","is-referenced-by-count":1,"title":["Environmental Features and Trajectories of Physical Activity Over 10\u00a0Years in Mid-Age Australian Adults"],"prefix":"10.1123","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4816-6582","authenticated-orcid":true,"given":"Thania Mara","family":"Teixeira Rezende Faria","sequence":"first","affiliation":[{"name":"Postgraduate Program of Public Health, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil"},{"name":"School of Public Health, The University of Queensland, Brisbane, QLD, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9093-4509","authenticated-orcid":true,"given":"Wendy J.","family":"Brown","sequence":"additional","affiliation":[{"name":"Faculty of Health Sciences & Medicine, Bond University, Gold Coast, QLD, Australia"},{"name":"School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3221-2265","authenticated-orcid":true,"given":"Nicola W.","family":"Burton","sequence":"additional","affiliation":[{"name":"School of Applied Psychology, Griffith University, Brisbane, Australia"},{"name":"Griffith Centre for Mental Health, Griffith University, Brisbane, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8214-5734","authenticated-orcid":true,"given":"Deborah Carvalho","family":"Malta","sequence":"additional","affiliation":[{"name":"Postgraduate Program of Public Health, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3043-2715","authenticated-orcid":true,"given":"Gregore Iven","family":"Mielke","sequence":"additional","affiliation":[{"name":"School of Public Health, The University of Queensland, Brisbane, QLD, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"key":"r1","series-title":"Am J Prev Med","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1016\/j.amepre.2024.05.013","article-title":"Trajectories of physical activity and chronic conditions among mid-aged women","volume":"67","author":"Nemoto Y","year":"2024","unstructured":"Nemoto Y, Brown WJ, Ding D, Nguyen B, Mielke GI. 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