Banca de QUALIFICAÇÃO: MARCOS FELIPE SILVA DE LIMA

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
DISCENTE : MARCOS FELIPE SILVA DE LIMA
DATA : 09/04/2019
HORA: 14:30
LOCAL: Departamento de Nutrição
TÍTULO:

Validation and development of equations for predicting body weight and height in elderly living in nursing homes

PALAVRAS-CHAVES:

Cross-sectional studies; Validation studies; Health of the elderly; Nutritional status; Nutrition assessment; Anthropometry

PÁGINAS: 68
GRANDE ÁREA: Ciências da Saúde
ÁREA: Saúde Coletiva
SUBÁREA: Epidemiologia
RESUMO:

Background: malnutrition in elderly people is related to the fragility, multimorbidity and mortality. In order to identify the risk of deficits early, anthropometric methods based on weight, height, perimeters and skinfolds can be used, which allow for the evaluation of anthropometric indicators. When it is not possible to measure weight and height, estimative equations can be used from these measures. Aims: To analyze the anthropometric patterns and to develop equations for predicting body weight and height in elderly living in nursing homes. Methods: this study was conducted on 409 elderly living of nursing homes in Natal, Brazil. Anthropometric data (weight, height, body perimeters and skinfolds) were collected for each participant. For the anthropometric pattern analysis, Principal Component Analysis was performed and the factorial scores of the chosen model were evaluated in relation to the age group and the type of nursing home that the elderly person lived. For the development and validation of the equations for predicting body weight two methods were elaborated according to the measure that best discriminated the subjects. The regression model found considered the measurement of measures of easy accomplishment in the elderly wheelchair and bedridden, namely the perimeters of the arm, calf perimeter and knee height. The prediction equations were evaluated by significance tests using the coefficient of determination (R²), the standard error of estimation and the Akaike Information Criterion (AIC). For all analyzes, p values <0.05 were considered statistically significant. Findings: In relation to the anthropometric pattern, the extracted factor was denominated anthropometric nutritional status because the reduced variables represent the variations of the nutritional status of the studied population. The median factor loadings presented a negative factorial score (-0.083), indicating that more than half of the population studied presented values below the ideal. The results presented show that the medians of factorial loads of non-profit institutions (-0,199), those of the age groups of 70 to 79 years (-0,082) and 80 years of age (-0,172) were those that contributed to the malnutrition factor. Regarding the development of equations for predicting body weight, the chosen model used measures of perimeter of the arm, calf and knee height, which only performed with an anthropometric tape and an infantometer, representing a cheapest cost for equipment acquisition to nursing homes. In addition, these measures can be performed with the elderly lying in bed or sitting in the wheelchair without major difficulties and without much damage the necessary technique. Conclusion: The anthropometric pattern was obtained from the factor called nutritional status, which presented negative median, being related to nonprofit nursing homes and age greater than 70 years. Anthropometric measures comprised the prediction equation of body weight were chosen for easy repeatability in the elderly with mobility restrictions. It should be noted that the development of the equation also considered the lack of equipment for measurement of skinfolds in the nursing homes and adequate professionals by training.

MEMBROS DA BANCA:
Presidente - 2149611 - CLELIA DE OLIVEIRA LYRA
Interno - 277398 - KENIO COSTA DE LIMA
Externa à Instituição - TARCIANA NOBRE DE MENEZES - UEPB