Sep 2026· Babcock University Medical Journal· Vol 9, pp. 20-34· 0 citations· 42 references
TL;DR
Despite high obesity prevalence, BMI alone did not independently predict advanced stage and tumour size was the strongest correlate, highlighting adiposity-breast cancer complexity and supporting alternative anthropometric measures in future research.
Abstract
Objective: To evaluate the association between BMI and breast cancer stage at presentation in Basrah, Iraq.
Methods: This prospective cohort study enrolled consecutive women diagnosed with breast cancer at two Basrah teaching hospitals from December 2020 to December 2022. BMI was measured at presentation and categorised per WHO thresholds. Cancer stage was determined through clinical examination, imaging, and histopathology by multidisciplinary teams. Univariate analyses employed Kruskal-Wallis and Fisher's exact tests. Multivariable binary logistic regression assessed independent predictors of advanced stage (III/IV). Statistical significance was set at p<0.05.
Results: Among 121 women (mean age 50.8±11.0 years), obesity (BMI≥30) occurred in 56 (46.3%). Most presented with a breast lump (90, 74.4%) and tumour size 2-5 cm (75, 62.0%). Stage distribution: I (26, 21.5%), II (58, 47.9%), III (29, 24.0%), IV (8, 6.6%). Of stage IV patients, five (62.5%) were obese. No significant association existed between BMI and stage in univariable analysis (p=0.392). Tumour size is strongly associated with stage (p<0.0001). After multivariable adjustment, BMI remained non-significant (obesity adjusted OR: 1.42, 95% CI 0.51-3.96, p=0.502).
Conclusions: Despite high obesity prevalence, BMI alone did not independently predict advanced stage. Tumour size was the strongest correlate. These findings highlight adiposity-breast cancer complexity, supporting alternative anthropometric measures in future research.
Introduction/Justification: breast cancer is composed of distinct molecular subtypes. Obesity is linked to tumor progression, particularly breast angiogenesis.
Methods: An observational, retrospective, and cross-sectional study, based on medical records and questionnaires. The study was conducted in the physiotherapy...
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OBJECTIVE
Breast cancer method of detection (MOD) describes how a cancer is first identified: through screening or non-screening (symptomatic/incidental) presentation. We examined associations between MOD and patient demographics, tumor characteristics, treatment patterns, and survival.
METHODS
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