Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions.

BACKGROUND: Weight measurement is important in the nutritional anthropometric monitoring of older adults. When this measurement is not possible, estimates may be used. AIM: Developing and validating weight predictive equations for older adult residents in long-term care institutions in Brazil. SUBJECTS AND METHODS: The sample comprised 393 older adult residents in long-term care institutions. Data were collected in two stages, with 315 older adults in the first and 78 in the second. We have measured the arm, calf, and waist circumferences, as well as the triceps and subscapular skinfold and knee height. Multiple linear regression was used to develop the equations, which were evaluated through the coefficient of determination, standard error of estimation, Akaike information criterion, intraclass correlation coefficient (ICC), and Bland-Altmann plot. RESULTS: Five models with different anthropometric measurements were developed, (1) arm circumference as a discriminant variable (ICC: 0.842); (2) best statistical fit for men and women (ICC: 0.874) and its stratification by sex (3) (ICC: 0.876); (4) easy-to-perform measurement for men and women (ICC: 0.842) and its stratification by sex (5) (ICC: 0.828). CONCLUSION: Five models for estimating the weight of older adult residents in long-term care institutions were developed and validated. The choice to use the models should be based on the physical capacity of the older adults to be evaluated.

Plasma zinc in institutionalized elderly individuals: Relation with immune and cardiometabolic biomarkers.

Changes in zinc metabolism caused by aging and the institutionalization process may contribute to zinc deficiency in elderly individuals. Hypozincemia results in changes in glycemic, lipid, and inflammatory profiles. The aim of this study was to evaluate plasma zinc concentrations and their relationships with sociodemographic, dietary, inflammatory, and cardiometabolic biomarkers in institutionalized elderly individuals. A cross-sectional study was carried out including 255 elderly adults living in nursing homes. The associations between plasma zinc and dietary zinc intake, sociodemographic indicators, and glycemic, lipid, and inflammatory biomarkers were evaluated. Independent variables were analyzed according to quartiles of plasma zinc concentrations (Q1: <71.1 µg/dL; Q2: 71.1-83.3 µg/dL; Q3: <83.3-93.7 µg/dL; Q4: >93.7 µg/dL). The relationship between plasma zinc concentrations and predictor variables was also tested. In Q1, higher concentrations of the following variables were observed, compared with those in other quartiles: total cholesterol and low-density lipoprotein cholesterol (LDL-c; Q1 > Q2, Q3, Q4; all p <0.001); triglycerides (Q1 > Q3, Q4; all p < 0.001); interleukin (IL)-6 (Q1 > Q3, Q4; p = 0.024 and p = 0.010, respectively); tumor necrosis factor (TNF)-α (Q1 > Q3, p = 0.003). A significant reduction in plasma zinc concentrations was observed with increasing age-adjusted institutionalization time (Δ = - 0.10; 95% confidence interval [CI]: -0.18 to -0.01). The concentrations of total cholesterol (Δ = - 0.19; 95% CI: -0.23 to -0.15), LDL-c (Δ = - 0.19; 95% CI: -0.23 to -0.15), triglycerides (Δ = - 0.11; 95% CI: -0.16 to -0.06), IL-6 (Δ = - 1.41; 95% CI: -2.64 to -0.18), and TNF-α (Δ = - 1.04; 95% CI: -1.71 to -0.36) were also significantly increased. In conclusion, decreased plasma zinc concentrations were associated with longer institutionalization time and worse lipid and inflammatory profiles in elderly institutionalized individuals.