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.

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.

Quantile regression model-based analysis of influencing factors on quality of life of inpatients with type 2 diabetes / 中华疾病控制杂志

Objective This study aimed to understand the status of health-related quality of life (HRQOL) among the hospitalized patients with type 2 diabetes (T2DM) in Yinchuan, so as to analyze the factors associated with HRQOL of hospitalized T2DM patients. The applied value of quantile regression in analysis of HRQOL was explored. Methods A cross-sectional study was conducted to obtain data of 480 hospitalized T2DM patients. The Chinese Normal Audit of Diabetes-Dependent Quality of Life (CN-ADDQoL) scale was used to assess the HRQOL status of patients. Traditional linear regression and quantile regression were used to analyze the influencing factors of HRQOL in hospitalized T2DM patients. Results The average weight impact (AWI) of hospitalized T2DM patients was-2.7(-3.6,-1.9), and the items with lowest score were in the dimension of “work life” (AWI,-4(-6,-2)), “eat” AWI,-4(-6,-2)) and “Anything of Drinking” (AWI,-4(-6,-2)). Linear regression results showed that 18-59 years old or the renal and circulatory complications were risk factors for HRQOL in T2DM hospitalized patients. Quantile regression further found that the better the quality of life, the weaker the effect on age (β1=0.931, P1=0.001; β2=0.699, P2=0.001; β3=0.370, P3=0.012; β4=0.313, P4=0.035), the rural residents (β5=-0.421, P5<0.001), insulin treatment (β3=-0.325; P3=0.024), the ocular (β1=-0.546, P1=0.008; β5=-0.352, P5=0.008), renal (β5=-0.358, P5=0.025) and circulatory complications (β1=-0.803, P1<0.001; β5=-0.302, P5=0.011) had effect on HRQOL at different quantiles. Conclusions Age, urban and rural residence, whether receive insulin therapy and complications are the influencing factors of HRQOL in hospitalized T2DM patients. The quantile regression model can show different factors affecting the quality of life of patients at different quintiles. The results from quantile regression can provide the targeted and reasonable recommendations for improvement of HRQOL of T2DM patients.

Antisense Sites Screening of Fas Gene mRNA and Its Validation in vitro / 中国生物工程杂志

Three candidate antisense target sites of mouse Fas gene were screened by PARASS (poly-A anchored RNA accessible sites screening) technology. They were target at Fas gene 297nt-317nt, 618nt- 638nt and 662nt-682nt. Antisense oligos (A1, A2 and A3) and DNAzymes (D1, D2, and D3) for every target site were designed and synthesized. In vitro, the validation of the sites were judged by antisense oligos included RNase H splicing and the DNAzyme degradation. The results indicated that A1, A2 and A3 introduced RNase H degradation. DNAzymes D1, D2 and D3 cleaved Fas mRNA effectively. Neither degradation observed in antisense oligo RNase H group in non-target site (1211-1231nt) and 2 bases mismatched of A3, nor splicing occurred in DNzyme group in non-target site ( 1211-1231nt) and 2 bases mismatched of D3. Site 2 and 3 were at the same positions with those of ISIS Pharmaceuticals. The effective antisense oligos and DNAzymes for Fas gene could be used for the research subsequently.