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Healthy ageing means optimizing opportunities that allow older individuals to participate actively in society without discrimination. Learning adaptive behaviors (AB) may be extremely important for individuals for all stages of life. The goal of this study was: (a) to create a scale for self-perceived adaptive behavior, and (b) propose percentiles for evaluating AB in older adult women. A self-perception scale was created to measure adaptive behavior. Anthropometric and physical fitness variables for 192 older Chilean women (ages 60 to 88) were collected and evaluated. Content validity reflected agreement from 0.75 to 1.0. Construct validity carried out with exploratory factor analysis (EFA) resulted in 11 dimensions with 62 items in groups. Saturation oscillated between 0.62 and 0.85 with the explanation of variation as 46.27%. Cronbach's Alpha was r = 0.83. The results indicated that the scale developed was valid and reliable for the Chilean women studied. This scale may be used to measure self-perception of AB patterns in older women. Furthermore, the percentiles allow for classification of the AB by age and anthropometric indices.

Introduction: Anthropometric variables such as weight, height and body length in children and adolescents with and without intellectual disabilities should be studied in connection with nutritional status, physical growth and biological maturation., Objective: a) to analyze the anthropometric profile based on nutritional status, b) to determine the prevalence of overweight and short stature c) to propose equations for predicting height from anthropometric variables., Methods: A total of 49 children and adolescents with intellectual disabilities, and from a special education school were studied (30 boys and 19 girls). Weight, height, trunk-cephalic height, forearm and foot length were evaluated. The calculation of nutritional status resulted in the establishment of nutritional categories: underweight, normal and overweight., Results: The anthropometric profile of males varies significantly when classified according to nutritional categories (P<.05); however no variations were observed in the girls (P>.05). Also, high values of overweight prevalence were observed in both genders (43% of boys and 26% of girls). Variables such as age, weight, length of the forearm in females, and foot length in males are good predictors of height (R(2) = 91-94% males and R(2) = 87% females)., Conclusions: A high percentage of overweight cases were observed; therefore, rigorous control and monitoring of nutritional status are suggested. The proposed regression equations could be an option in schools to easily and simply predict height., (Copyright © 2015. Publicado por Elsevier España, S.L.U.)