Figure 2 from Adiposity Status Close to Diagnosis and Its Association with Prostate Cancer Survival in the UK Biobank
Year: 2025
Type: other
Abstract: Restricted cubic spline analysis for BMI assessed close to diagnosis and all-cause, prostate cancer–specific, and non–prostate cancer mortality. HRs from the Cox proportional hazards model with restricted cubic spline curves describing the association between BMI (kg/m2) collected before or after diagnosis combined and (A) all-cause mortality (deaths = 680), (B) prostate cancer–specific mortality (deaths = 331), and (C) non–prostate cancer mortality (deaths = 347); pre-diagnosis BMI and (D) all-cause mortality (deaths = 262), (E) prostate cancer–specific mortality (deaths = 124), and (F) non–prostate cancer mortality (deaths = 137); and post-diagnosis BMI and (G) all-cause mortality (deaths = 418; H), prostate cancer–specific mortality (deaths = 207), and (I) non–prostate cancer mortality (deaths = 210). HRs are based on the main model adjusted for age of diagnosis, year of diagnosis, smoking status, physical activity, sedentary activities, Townsend deprivation index, and alcohol intake frequency; knots at the 10th, 50th, and 90th percentiles of BMI. The median BMI of the individuals included in analyses was used as referent: 27.3 kg/m2 in the pre- or post-diagnosis analysis, 27.1 kg/m2 in the pre-diagnosis analysis, and 27.4 kg/m2 in the post-diagnosis analysis. The smooth density plot represents the density of the population across the spline variable.
Language: English
Topic: Cancer Risks and Factors
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4412470781