{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T11:46:55Z","timestamp":1790164015525,"version":"4.1.0"},"reference-count":34,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2018,9,11]],"date-time":"2018-09-11T00:00:00Z","timestamp":1536624000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2018,9,11]],"date-time":"2018-09-11T00:00:00Z","timestamp":1536624000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100008275","name":"University of Florida Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008275","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100001364","name":"University of Florida Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100001364","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2018,10]]},"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n \n Dynamic longitudinal patterns in body mass index (\n BMI<\/jats:styled-content>\n ) have been suggested to better predict health outcomes than static measures. Effects of\n BMI<\/jats:styled-content>\n trajectories on prostate cancer (\n PC<\/jats:styled-content>\n a) risk have not been thoroughly explored.\n <\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n Cohort data were derived from electronic medical records of patients who were admitted to a tertiary\u2010care hospital in the Southeastern\n USA<\/jats:styled-content>\n during 1994\u20102016. Patients with a history of urologic clinic visit because of any prostatic condition and with repeatedly measured\n BMI<\/jats:styled-content>\n (n\u00a0=\u00a04857) were included.\n BMI<\/jats:styled-content>\n trajectories prior to\n PC<\/jats:styled-content>\n a diagnosis were assessed using the developmental trajectory analysis method. Cox proportional hazards regression modeling was used to estimate adjusted hazard ratio (\n aHR<\/jats:styled-content>\n ) with 95% confidence intervals (\n CI<\/jats:styled-content>\n s) for overall and grade\u2010specific\n PC<\/jats:styled-content>\n a.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n The median age (interquartile range,\n IQR<\/jats:styled-content>\n ) of the participants at baseline was 63 (54, 72) years. Over a median follow\u2010up (\n IQR<\/jats:styled-content>\n ) of 8.0 (2.0, 13.0) years, 714 (14.7%, 714\/4857) were diagnosed with\n PC<\/jats:styled-content>\n a. Men with growing\n BMI<\/jats:styled-content>\n trajectory progressing from normal weight to overweight\/obese had a 76% increased\n PC<\/jats:styled-content>\n a risk (\n aHR<\/jats:styled-content>\n \u00a0=\u00a01.76; 95%\n CI<\/jats:styled-content>\n : 1.25, 2.48), and men being obese and experiencing progressive weight gain had 3.72\u2010fold increased\n PC<\/jats:styled-content>\n a risk (\n aHR<\/jats:styled-content>\n \u00a0=\u00a03.72; 95%\n CI<\/jats:styled-content>\n : 1.60, 8.66), compared to men with persistently normal\n BMI<\/jats:styled-content>\n . The associations were more pronounced for\n PC<\/jats:styled-content>\n a with Gleason score \u22657. No significant association of decreasing\n BMI<\/jats:styled-content>\n trajectory progressing from obese to normal\n BMI<\/jats:styled-content>\n was found with\n PC<\/jats:styled-content>\n a risk.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n Progressively body weight gain during middle\u2010to\u2010late adulthood was associated with increased PCa risk for both normal weight and overweight men. Further studies are warranted to confirm this finding.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/cam4.1747","type":"journal-article","created":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T02:01:39Z","timestamp":1536717699000},"page":"5272-5280","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["BMI<\/scp>\n trajectories and risk of overall and grade\u2010specific prostate cancer: An observational cohort study among men seen for prostatic conditions"],"prefix":"10.1002","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5614-5618","authenticated-orcid":false,"given":"Kai","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Epidemiology University of Florida Gainesville Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinguang","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Epidemiology University of Florida Gainesville Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Travis A.","family":"Gerke","sequence":"additional","affiliation":[{"name":"Department of Cancer Epidemiology Moffitt Cancer Center Tampa Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victoria Y.","family":"Bird","sequence":"additional","affiliation":[{"name":"Department of Urology University of Florida Gainesville Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hans K.","family":"Ghayee","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine Division of Endocrinology University of Florida and the Malcom Randall VA Medical Center Gainesville Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mattia","family":"Prosperi","sequence":"additional","affiliation":[{"name":"Department of Epidemiology University of Florida Gainesville 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