Development of comprehensive vitality scale for the elderly based on classical test theory and analytic hierarchy process / 生理学报

The present study aims to construct an elderly vitality index evaluation system and develop a comprehensive vitality evaluation scale for the elderly to reasonably evaluate the vitality level of the elderly in China, so as to provide a reference for promoting the realization of "active aging" and "healthy aging". Literature research and in-depth interview were used to collect the senile vitality sensitive indexes. The indexes were screened and corrected by Delphi expert consultation method, item analysis method based on classical test theory, factor analysis method, and reliability and validity analysis method. The analytic hierarchy process was used to calculate the weight of each level of indexes. An elderly vitality evaluation system including 4 first-level indexes and 24 second-level indexes was constructed. The consistency test results of all levels of indicators showed that the consistency index (CI) and consistent ratio (CR) were both less than 0.1, which met the requirements and showed satisfactory consistency. The weights of exercise vitality, nutritional vitality, psychological vitality and social vitality were 0.263, 0.141, 0.455 and 0.141, respectively. In conclusion, the comprehensive vitality scale constructed for the Chinese elderly is reliable and scientific, and can be used to evaluate the vitality of the elderly.

Establishment of comprehensive evaluation models of physical fitness of the elderly based on machine learning / 生理学报

The present study aims to establish comprehensive evaluation models of physical fitness of the elderly based on machine learning, and provide an important basis to monitor the elderly's physique. Through stratified sampling, the elderly aged 60 years and above were selected from 10 communities in Nanchang City. The physical fitness of the elderly was measured by the comprehensive physical assessment scale based on our previous study. Fuzzy neural network (FNN), support vector machine (SVM) and random forest (RF) models for comprehensive physical evaluation of the elderly people in communities were constructed respectively. The accuracy, sensitivity and specificity of the comprehensive physical fitness evaluation models constructed by FNN, SVM and RF were above 0.85, 0.75 and 0.89, respectively, with the FNN model possessing the best prediction performance. FNN, RF and SVM models are valuable in the comprehensive evaluation and prediction of physical fitness, which can be used as tools to carry out physical evaluation of the elderly.