{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T17:03:59Z","timestamp":1761930239046,"version":"build-2065373602"},"reference-count":37,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2021,10,27]],"date-time":"2021-10-27T00:00:00Z","timestamp":1635292800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>Understanding environmental predictors of women\u2019s use of closest breast screening venue versus other site(s) may assist optimal venue placement. This study assessed relationships between residential-area sociodemographic measures, venue location features, and women\u2019s use of closest versus other venues. Data of 320,672 Greater Sydney screening attendees were spatially joined to residential state suburbs (SSCs) (n = 799). SSC-level sociodemographic measures included proportions of: women speaking English at home; university-educated; full-time employed; and dwellings with motor-vehicles. A geographic information system identified each woman\u2019s closest venue to home, and venue co-location with bus-stop, train-station, hospital, general practitioner, and shop(s). Multilevel logistic models estimated associations between environmental measures and closest venue attendance. Attendance at closest venue was 59.4%. Closest venue attendance was positively associated with SSC-level women speaking English but inversely associated with SSC-level women university-educated, full-time employed, and dwellings with motor-vehicles. Mobile venue co-location with general practitioner and shop was positively, but co-location with bus-stop and hospital was inversely associated with attendance. Attendance was positively associated with fixed venue co-location with train-station and hospital but inversely associated with venue co-location with bus-stop, general practitioner, and shop. Program planners should consider these features when optimising service locations to enhance utilisation. Some counterintuitive results necessitate additional investigation.<\/jats:p>","DOI":"10.3390\/ijerph182111277","type":"journal-article","created":{"date-parts":[[2021,10,27]],"date-time":"2021-10-27T22:00:23Z","timestamp":1635372023000},"page":"11277","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Residential Area Sociodemographic and Breast Cancer Screening Venue Location Built Environmental Features Associated with Women\u2019s Use of Closest Venue in Greater Sydney, Australia"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3029-6303","authenticated-orcid":false,"given":"Jahidur Rahman","family":"Khan","sequence":"first","affiliation":[{"name":"Australian Geospatial Health Laboratory, Health Research Institute, University of Canberra, Canberra, ACT 2617, Australia"},{"name":"School of Health Sciences, University of South Australia, Adelaide, SA 5000, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9767-2860","authenticated-orcid":false,"given":"Suzanne J.","family":"Carroll","sequence":"additional","affiliation":[{"name":"Australian Geospatial Health Laboratory, Health Research Institute, University of Canberra, Canberra, ACT 2617, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Neil T.","family":"Coffee","sequence":"additional","affiliation":[{"name":"Australian Geospatial Health Laboratory, Health Research Institute, University of Canberra, Canberra, ACT 2617, Australia"},{"name":"Housing and Healthy Cities Research Group, School of Architecture and Built Environment, University of Adelaide, Adelaide, SA 5005, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew","family":"Warner-Smith","sequence":"additional","affiliation":[{"name":"Cancer Institute NSW, St Leonards, Sydney, NSW 2065, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Roder","sequence":"additional","affiliation":[{"name":"School of Health Sciences, University of South Australia, Adelaide, SA 5000, Australia"},{"name":"Cancer Institute NSW, St Leonards, Sydney, NSW 2065, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9112-134X","authenticated-orcid":false,"given":"Mark","family":"Daniel","sequence":"additional","affiliation":[{"name":"Australian Geospatial Health Laboratory, Health Research Institute, University of Canberra, Canberra, ACT 2617, Australia"},{"name":"Department of Medicine, St. Vincent\u2019s Hospital, The University of Melbourne, Fitzroy, VIC 3065, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1186\/1476-072X-9-17","article-title":"Optimization of preventive health care facility locations","volume":"9","author":"Gu","year":"2010","journal-title":"Int. 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