Predictive Analysis Of Biomarkers On Health Status Of Middle-Aged And Older Adults

Objective:This study is based on interdisciplinary research in sociology and physiology,and delves into the predictive role of biomarker indicators on adverse health outcomes in middle-aged and elderly populations.Research can help identify high-risk populations and carry out targeted public health and medical interventions.This study is based on representative data of the middle-aged and elderly population in China,and from a multi-system perspective,explores whether the biomarker indicators of the middle-aged and elderly multi biological system are predictive factors for multidimensional health outcomes,providing certain social and medical evidence for implementing health management and formulating relevant health policies for the middle-aged and elderly population.Methods:This study adopts the data of "China Health and Retirement Longitudinal Study(CHARLS)" in 2015 and 2018.The main research variables come from CHARLS physical examination(including a series of physical function tests and blood tests)data.First of all,the descriptive analysis of the overall variables is carried out;Secondly,univariate analysis was used to study the inter-group differences in 10 biomarkers of multi-dimensional health variables of middle-aged and elderly people;Finally,the predictive ability of biomarkers of middle-aged and elderly people to multi-dimensional health outcomes was analyzed through binary variable logistic regression.Results:1.This article compares the health status of middle-aged and elderly people with different characteristics and finds that there are significant differences in various biomarkers in the body,including daily activity ability,instrumental daily activity ability,self rated health,and depression(P<0.100).In addition,there were differences in demography characteristics such as age,gender,education and other indicators of different health dimensions(P<0.001).It can be seen that the distribution characteristics of biomarkers in populations with different health states,as well as related characteristics such as age,gender education,etc.2.In the prediction study of biomarker indicators and multidimensional health outcomes for middle-aged and elderly people,it was found that different biomarkers have a significant impact on various health outcomes,that is,different biomarkers have predictive power on corresponding adverse health outcomes.The predictive factors for impaired daily activity ability include peak lung flow velocity,balance,grip strength,and sitting performance;The predictive factors for impaired instrumental daily activity ability include glycated hemoglobin,pulmonary peak flow rate,balance,grip strength,and sitting performance;The predictive factors for poor self-rated health include glycated hemoglobin,triglycerides,cystatin C,C-reactive protein,peak lung flow rate,balance,waist circumference,and sitting performance;The predictors of depression were cystatin C,high-density lipoprotein,peak pulmonary flow rate,grip strength and sitting performance.Conclusion:This study systematically explored the predictive effect of biomarkers on multidimensional health outcomes of middle-aged and elderly people.The study found that 10 biomarkers such as glycosylated hemoglobin,balance and grip strength can be used as predictors of multi-dimensional health outcomes.It confirmed the pathophysiological mechanism of multi-dimensional adverse health outcomes of middle-aged and elderly people.The research shows that the regular physical examination of middle-aged and elderly people should be strengthened,the implementation of early public health and medical intervention measures should be promoted,the health of middle-aged and elderly people should be maintained in an all-round and full-process manner,and the implementation of healthy aging policy should be promoted.