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1.
Nutrients ; 14(22)2022 Nov 21.
Article in English | MEDLINE | ID: mdl-36432611

ABSTRACT

The aim of this study was to evaluate the association of overweight, obesity, excess central adiposity, hyperglycemia, and diabetes mellitus with tumor characteristics in breast cancer. In this retrospective cohort study that enrolled 2127 women with breast cancer, the independent variables collected were fasting blood glucose, body mass index, central adiposity (waist circumference and waist-to-hip circumference ratio (WHR)), and waist-to-height ratio. The tumor characteristics (infiltrating, ductal grade, hormone receptor-positive (HR+), human epidermal growth factor receptor, triple negative, size, lymph node involvement, and clinical stage) were the dependent variables. Most of the women were postmenopausal (73.5%), with an infiltrating tumor (83.0%), HR+ (82.0%), and overweight or obese (71.0%). For the premenopausal women, obesity was associated with grade 3 ductal tumor (odds ratio (OR): 1.70; 95% confidence interval (95% CI): 1.09-2.66), triple negative (OR: 1.37, 95% CI: 1.08-3.24), and size ≥ 2 cm (OR: 2.20, 95% CI: 1.36-3.56). For the postmenopausal women, obesity was associated with WHR, infiltrating tumor (OR: 1.73, 95% CI: 1.56-1.95), size ≥ 2 cm (OR: 1.38, 95% CI: 1.11-1.71), lymph node involvement (OR: 1.24, 95% CI: 1.02-1.56), and stages III-IV (OR: 1.76, 95% CI: 1.30-2.65). Excess body weight and central adiposity were associated with tumor aggressiveness characteristics in women with breast cancer, confirming the importance of nutritional status.


Subject(s)
Breast Neoplasms , Hyperglycemia , Female , Humans , Breast Neoplasms/metabolism , Fasting , Adiposity , Overweight , Retrospective Studies , Brazil/epidemiology , Risk Factors , Obesity/complications , Obesity/metabolism , Obesity, Abdominal/complications , Cohort Studies
2.
J Ren Nutr ; 21(5): 418-25, 2011 Sep.
Article in English | MEDLINE | ID: mdl-21239183

ABSTRACT

OBJECTIVE: This aim of this study was to evaluate the association between dietary calcium and variables that include body mass index, abdominal obesity, metabolic profile, and blood pressure levels in renal transplant patients. DESIGN: A cross-sectional study was conducted. SETTING: Eligible patients were recruited from renal transplant outpatient clinics at Pedro Ernesto University Hospital, Rio de Janeiro, Brazil. PATIENTS: A total of 40 men and 34 women aged >18 years who had received kidney transplants in the past ≥12 months were included in this study. INTERVENTION: All patients underwent clinical, dietary, anthropometric, and biochemical evaluation. RESULTS: Participants were classified into the following 2 groups on the basis of their mean dietary calcium intake: group A (<600 mg/day) and group B (≥600 mg/day). Patients in group B presented significantly lower levels of waist circumference and waist-to-hip ratio as compared with those in group A (P = .04 and P = .005, respectively), after adjusting for confounding variables such as energy intake, gender, age, physical activity, time since transplantation, and prednisone dose. After controlling for potential confounders, including energy intake and physical activity, subjects in group B had a lower odds ratio for prevalent abdominal obesity as compared with those in group A (odds ratio, 0.17; 95% confidence interval, 0.03 to 0.94; P = .04). Body mass index was significantly lower in patients with higher calcium intake; however, this difference did not reach statistical significance after adjustments for confounding factors. Metabolic profile and blood pressure levels were similar in both groups. CONCLUSION: The findings of the present study suggest that a higher dietary calcium intake may be associated with lower abdominal adiposity in renal transplant patients.


Subject(s)
Calcium, Dietary/administration & dosage , Kidney Transplantation , Abdominal Fat/drug effects , Adiposity/drug effects , Blood Pressure/drug effects , Body Mass Index , Brazil , Cross-Sectional Studies , Diet , Energy Intake , Female , Humans , Life Style , Linear Models , Male , Middle Aged , Multivariate Analysis , Pilot Projects , Waist Circumference/drug effects , Waist-Hip Ratio
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