Data_Sheet_1_Central adiposity as a predictor of mortality in older adults: Identification of cutoffs using generalized additive models.pdf

BackgroundObesity is associated with premature mortality in adults; however, this association has been inconsistent in the older adult population. In addition, there is a lack of specific cutoff points for indicators of negative health outcomes in older adults. Methods: This is a prospective study with 796 non-institutionalized older adults. Data on sociodemographic characteristics, lifestyle, food consumption, and nutritional status were obtained at baseline. Generalized additive models were used to identify cutoff points for the waist circumference (WC) and waist-to-height ratio (WHtR) and Cox proportional hazards models to assess the independent association between adiposity and mortality.ResultsOver the 9 years of follow-up, 197 deaths (24.7%) occurred, of which 51.8% were men, with a mean age of 76.1 ± 9.0 years. Older adults at higher risk of death had WHtR of ConclusionAdiposity was associated with an increased risk of death in older adults. In view of these results and considering the lack of cutoff points for anthropometric indices in Brazilian older adults, further studies are needed to confirm the WC and WHtR cutoff values found in this study.</p

Consumption of foods with a higher degree of processing is associated with overweight and abdominal obesity in women with breast cancer undergoing chemotherapy

This study evaluated food consumption according to its degree of processing and its relationship with body adiposity in 218 women with breast cancer. Food consumption was categorised according to the NOVA classification. Two groups were formed, the first composed by consumption of in natura, minimally processed foods and culinary ingredients (less processed foods) and the second one of processed and ultra-processed foods (more processed foods). The increase of 5% in the caloric contribution of more processed foods was associated with a 4% increase in the prevalence of overweight (p = 0.028) and 3% in prevalence of abdominal obesity (p = 0.018). This reinforces the importance of evaluating food consumption with a focus on the degree of processing, as it can contribute to the prevention of excess body fat in this group, as this excess is associated with a worse prognosis and survival.</p