Appendicular Lean Soft Tissue: Development and Cross-Validation of Predictive Models for Older Men and Women.

BACKGROUND: Sarcopenia may explain, in a large proportion, physical disability, falls and fractures, especially in aged elderly. However, a diagnosis in an operationally systematic, simple and low cost way is extremely important, particularly for home-based, epidemiological studies. OBJECTIVE: The purpose of this study was to develop and validate predictive equations of appendicular lean soft tissue (ALST) in elderly older than 80 years. DESIGN AND SETTINGS: A validation study was performed in 106 elderly (men and women) aged 80 years and older. MEASUREMENTS: Body weight, height, circumference (arm, midcalf, hip and waist) and triceps skinfold were measured in the elderly. ALST were measured using as the reference method dual-energy X-ray absorptiometry (DXA). RESULTS: Two models were predicted. The first model (ALST, in kg = 0.074*height + 0.277*weight - 0.144*triceps skinfold - 0.103*waist circumference + 1.831*gender -0.966), which considered all possible variables in stepwise multiple regression, presented better statistical performance (r2 = 0.82; SEE = 1.67 kg), compared to the second model (ALST, in kg = 0.138*height + 0.103*weight + 3.061*gender - 12.489), a more practical equation, due to a lesser quantity of predictive variables (r2 = 0.75; SEE = 1.94 kg). Both models were validated, however, it was verified trend (p<0.05) for overestimation of predicted ALST. CONCLUSION: In summary, two models for predicting ALST in men and women with age ≥ 80 years were developed and cross-validated. Model 1, with a greater number of predictive variables, presented a better accuracy than did the model with only three variables (height, weight, and gender). Validation studies are needed to test the usefulness of both models in other populations.

Use of the mini nutritional assessment tool in elderly people from long-term institutions of southeast of Brazil.

BACKGROUND: the Mini Nutritional Assessment (MNA) is a multidimensional method of nutritional evaluation that allows the diagnosis of malnutrition and risk of malnutrition in elderly people, it is important to mention that this method has not been well studied in Brazil. OBJECTIVE: to verify the use of the MNA in elderly people that has been living in long term institutions for elderly people. DESIGN: transversal study. PARTICIPANTS: 89 people (>/= 60 years), being 64.0% men. The average of age for both genders was 73.7 +/- 9.1 years old, being 72.8 +/- 8.9 years old for men, and 75.3 +/- 9.3 years old for women. SETTING: long-term institutions for elderly people located in the Southeast of Brazil. METHODS: it was calculated the sensibility, specificity, and positive and negative predictive values. It was data to set up a ROC curve to verify the accuracy of the MNA. The variable used as a "standard" for the nutritional diagnosis of the elderly people was the corrected arm muscle area because it is able to provide information or an estimative of the muscle reserve of a person being considered a good indicator of malnutrition in elderly people. RESULTS: the sensibility was 84.0%, the specificity was 36.0%, the positive predictive value was 77.0%, and the negative predictive value was 47.0%; the area of the ROC curve was 0.71 (71.0%). CONCLUSION: the MNA method has showed accuracy, and sensibility when dealing with the diagnosis of malnutrition and risk of malnutrition in institutionalized elderly groups of the Southeastern region of Brazil, however, it presented a low specificity.

Relationship between stature, overweight and central obesity in the adult population in São Paulo, Brazil.

OBJECTIVE: To test association between overweight, central obesity and stature. DESIGN: Cross-sectional study carried-out between 1990-1991. SUBJECTS: 951 adults (387 male and 564 female) aged 20-64 y, resident in the metropolitan area of São Paulo, Brazil. MEASUREMENTS: Anthropometry, blood lipid concentrations (total, high density lipoprotein (HDL) and low density lipoprotein (LDL)-cholesterol, triglycerides (TGs) and blood glucose. Body mass index (BMI), waist-to-hip ratio (WHR) and waist circumference were used to identify overweight (BMI > 25 kg/m2), abdominal obesity (WHR tertile 3 and waist circumference tertile 3), respectively. The subjects were categorised as those of short stature (women < 150 cm, men < 162cm) and those of normal stature (women > or = 150 cm, men > or = 162 cm). RESULTS: Prevalence of short stature was 19.6% and 15.4% in men and women, respectively. Short stature women had higher serum concentrations of total cholesterol, LDL-cholesterol, TGs and glucose than those of normal stature. Among men, this difference was not observed, except for glucose concentrations. Short stature women had high BMI and WHR means in some age categories, compared with those of normal stature. Both overweight and high WHR frequencies were greater in short stature women than in those of normal ones. In multivariate analysis, adjusted by age, income, marital status, education, physical activity and tobacco use, only women group with short stature compared with normal stature had significantly risk of overweight an high WHR. In the same group there was no association with waist circumference. Among the men there was significant opposite association with waist circumference. CONCLUSION: Short stature in women can potentially be an independent risk factor for overweight and high WHR.