Search

Abstract Background Type 2 diabetes (T2D) is a risk factor for female breast cancer (FBC). Obesity has also been associated with FBC, also depending on menopausal status. This study aimed to evaluate the impact of obesity and T2D on the development, aggressiveness, and invasiveness of FBC. Methods Demographic, clinical, and histopathological data from 335 women with FBC were collected, and analyzed according to weight category (102 normal weight, 117 overweight, and 116 living with obesity) and the presence/absence of T2D. Results Age at oncologic diagnosis was not statistically significantly different for body weight; women with overweight or obesity were more likely to have an oncologic diagnosis after menopause than normal weight (p 20%). This study highlights the importance of prevention in all women, with early screening, and adequate nutritional programs.

Abstract Tree‐ring data have become widely used to model tree growth responses to climate variability and gain insight about the potential effects of global warming on forests. We capitalized on a rare opportunity to develop growth–climate models using tree‐ring data collected from all trees (>4 cm in diameter at breast height) within 50 × 50 m plots established in subalpine old‐growth forests of western Canada. Our objective was to determine how tree growth responses to climate vary among tree size classes, species, and sites. We modeled relationships between times series of annual basal area increment (ΔBA) and yearly climate variables for individual trees; this approach obviated key statistical criticisms of “traditional” tree‐ring analysis methods. Time series of annual basal area increment were detrended a priori for size, age, legacy, and competition effects. We found that the overall climate signal in our time series of ΔBA was weak;