Relationship Between Reference Value Of Platelet Parameters And Environmental Factors In Healthy People In China

Objective:Platelet distribution width and mean platelet volume is not only the most studied platelet parameters currently, but also are two important indicators of blood tests. Currently, with the lack of normal reference value of Platelet distribution width and mean platelet volume in different geographical environment in China and abroad, and this has seriously affected the accuracy of clinical diagnosis.Method:4725cases of normal PDW and MPV reference value of three age groups from10-80years old were collected in30different provinces, and the correlation analysis was used to find the correlation of the geographical factors and the PDW and MPV reference value of four age groups.According to their different ages were divided into3groups:Junior (10-17years old); youth and middle-aged group (18-59years old); older group (60-80years). Geographic information is drawn from the relevant geographical works and dictionaries and the China meteorological data Sharing service network. Environmental factors includes Longitude (°),Altitude (m),the annual average temperature (℃),annual average relative humidity (%), the annual average wind speed (m/s),soil gravel percentage (%),soil silt percentage (%),clay soil percentage (%), topsoil reference capacity(g/cm3),topsoil gravel content(%),topsoil organic matter content (%wt), topsoil PH, surface soil (clay) acation exchange capacity (cmol/kg), surface soil alkalinity (cmol/kg), surface soil salinity (%).Using the ridge regression analysis, neural networks and principal component analysis of three kinds of methods to analyze the relationship between the geographical factors and the PDW and MPV reference value of different areas with different geographical conditions.Result:In order to get the best result, through T-test, select the best simulation equation.Respectively:1-. the ridge regression for the optimal prediction model of PDW reference value of Junior: Y=9.959-0.002952X,+0.0001017X2+0.1662X3+0.06621X4+0.01594X5+0.005011X6-0.02601X7+0.02235X8-3.839X9+0.1463X10-1.423X11+0.4642X12+0.001001X13-0.3332X14+0.3814X15±2.405K=0.2, RMSE=0.7097<32、the model of principal component analysis for the optimal prediction model of MPV reference value of Junior: Y=5.245+0.02061X1-0.0002285X2+0.03283X3+0.01219X4+0.1108X5+0.001537X6-0.004042X7+0.003265X8-0.02950X9+0.1171X10-0.04623X11-0.02053X12-0.0004746X13+0.03271X14+0.02666X15±0.2092R2=0.229, F=1.111, P=0.0383、the model of principal component analysis for the optimal of PDW reference value prediction model of youth and middle-aged: Y=9.287+0.03180X1-0.001565X2-0.02129X3-0.01172X4+0.1428X5+0.007725X6+0.004502X7-0.02089X8+2.131X9-0.07130X10+0.08282X11+0.02354X12+0.001624X13-0.04512X14-0.2579X15±0.2555R2=0.126, F=1.960, P=0.0004、the model of principal component analysis for the optimal of MPV reference value prediction model of youth and middle-aged: Y=4.818+0.002407X1+0.0004120X2+0.005726X3+0.01143X4+0.04785X5-0.02623X6+0.03397X7-0.01208X8-0.7842X9+0.004282X10+0.2799X11+0.4429X,2-0.002401X13-0.1182X,4+1.189X,5±0.3441R2=0.348, F=2.560,P=0.0005、the model of principal component analysis for the optimal of PDW reference value prediction model of older: Y=20.40-0.022600X1-0.0004469X2-0.04561X3-0.01745X4-0.1166X5+0.0002610X6-0.005430X7+0.01077X8-0.4434X9-0.01402X10+0.4489X11-0.1369X12-0.004260X13-0.01957X14-0.3188X15±0.3321R2=0.098, F=1.344, P=0.0006、the model of principal component analysis for the optimal of MPV reference value prediction model of older: Y=4.809+0.03036X1+0.0002586X2-0.01131X3-0.008657X4-0.2706X5+0.003893X6-0.006417X7+0.001866X8+0.4191X9+0.001514X10+0.2430X11-0.08149X12-0.004440X13-0.003980X14-0.1459X15±0.1582R2=0.230, F=3.415, P=0.009Conclusion:The regional distribution thematic map of the PDW and MPV reference value of four age groups from10-80years old showed the regional differences in china. If environment factors of a particular area is obtained,the reference values of platelet parameters in this area can be calculated by using the forecast model and we also get the thematic map of the distribution of the platelet parameters values in different areas of china, the distribution condition of the platelet parameters values can be clearly reflected through the map.And the results and the methods of the thesis well are abundant to the contents of medical geography,clinical medical and exercise physiology.