中南大学学报（医学版）
中南大學學報（醫學版）
중남대학학보（의학판）
JOURNAL OF CENTRAL SOUTH UNIVERSITY (MEDICAL SCIENCES)
2014年
11期
1163-1169
,共7页
许金辉%葛淼%何进伟%薛然尹%杨绍芳%姜吉琳
許金輝%葛淼%何進偉%薛然尹%楊紹芳%薑吉琳
허금휘%갈묘%하진위%설연윤%양소방%강길림
Tei指数%相关分析%主成分分析%空间分布规律
Tei指數%相關分析%主成分分析%空間分佈規律
Tei지수%상관분석%주성분분석%공간분포규률
Tei index%correlation analysis%principal component analysis%spatial distribution regularities
目的：为中国不同地区的健康人左心室Tei指数参考值提供一个科学依据，为左室舒张和收缩的整体功能的评价提供一个较为可靠的判断依据。方法：通过文献检索收集来自50个市(县)的3562例健康人左室Tei指数，将其与9项地理指标，即经度(X1)、纬度(X2)、海拔(X3)、年日照时数(X4)、年平均气温(X5)、年平均相对湿度(X6)、年降水量(X7)、气温年较差(X8)、年平均风速(X9)，进行简单相关分析和主成分分析；应用ArcGIS10.0软件探索左室Tei指数的空间分布规律。结果：健康人左室Tei指数与9项地理指标之间存在显著相关性，相关系数分别为r1=0.107， r2=0.301，r3=0.029，r4=0.277，r5=?0.256，r6=?0.289，r7=?0.320，r8=0.310，r9=0.117。根据提取的3个主成分与Tei指数进行回归分析，获得了Tei指数与地理指标间的线性模型。应用ArcGIS10.0软件进行插值分析，拟合出健康人左室Tei指数的空间分布趋势图。结论：中国人左室Tei指数参考值存在一定的地理分布规律——西高东低，北高南低。
目的：為中國不同地區的健康人左心室Tei指數參攷值提供一箇科學依據，為左室舒張和收縮的整體功能的評價提供一箇較為可靠的判斷依據。方法：通過文獻檢索收集來自50箇市(縣)的3562例健康人左室Tei指數，將其與9項地理指標，即經度(X1)、緯度(X2)、海拔(X3)、年日照時數(X4)、年平均氣溫(X5)、年平均相對濕度(X6)、年降水量(X7)、氣溫年較差(X8)、年平均風速(X9)，進行簡單相關分析和主成分分析；應用ArcGIS10.0軟件探索左室Tei指數的空間分佈規律。結果：健康人左室Tei指數與9項地理指標之間存在顯著相關性，相關繫數分彆為r1=0.107， r2=0.301，r3=0.029，r4=0.277，r5=?0.256，r6=?0.289，r7=?0.320，r8=0.310，r9=0.117。根據提取的3箇主成分與Tei指數進行迴歸分析，穫得瞭Tei指數與地理指標間的線性模型。應用ArcGIS10.0軟件進行插值分析，擬閤齣健康人左室Tei指數的空間分佈趨勢圖。結論：中國人左室Tei指數參攷值存在一定的地理分佈規律——西高東低，北高南低。
목적：위중국불동지구적건강인좌심실Tei지수삼고치제공일개과학의거，위좌실서장화수축적정체공능적평개제공일개교위가고적판단의거。방법：통과문헌검색수집래자50개시(현)적3562례건강인좌실Tei지수，장기여9항지리지표，즉경도(X1)、위도(X2)、해발(X3)、년일조시수(X4)、년평균기온(X5)、년평균상대습도(X6)、년강수량(X7)、기온년교차(X8)、년평균풍속(X9)，진행간단상관분석화주성분분석；응용ArcGIS10.0연건탐색좌실Tei지수적공간분포규률。결과：건강인좌실Tei지수여9항지리지표지간존재현저상관성，상관계수분별위r1=0.107， r2=0.301，r3=0.029，r4=0.277，r5=?0.256，r6=?0.289，r7=?0.320，r8=0.310，r9=0.117。근거제취적3개주성분여Tei지수진행회귀분석，획득료Tei지수여지리지표간적선성모형。응용ArcGIS10.0연건진행삽치분석，의합출건강인좌실Tei지수적공간분포추세도。결론：중국인좌실Tei지수삼고치존재일정적지리분포규률——서고동저，북고남저。
Objective: To provide a scientific standard of left ventricular Tei index for healthy people from various region of China, and to lay a reliable foundation for the evaluation of left ventricular diastolic and systolic function. Methods: The correlation and principal component analysis were used to explore the left ventricular Tei index, which based on the data of 3 562 samples from 50 regions of China by means of literature retrieval. hTe nine geographical factors were longitude(X1), latitude(X2), altitude(X3), annual sunshine hours (X4), the annual average temperature (X5), annual average relative humidity (X6), annual precipitation (X7), annual temperature range (X8) and annual average wind speed (X9). ArcGIS sotfware was applied to calculate the spatial distribution regularities of letf ventricular Tei index. Results: hTere is a signiifcant correlation between the healthy people’s letf ventricular Tei index and geographical factors, and the correlationcoeffcients were 0.107 (r1), 0.301 (r2), 0.029 (r3), 0.277 (r4),?0.256(r5),?0.289(r6),?0.320(r7), 0.310 (r8) and 0.117 (r9), respectively. A linear equation between the Tei index and the geographical factor was obtained by regression analysis based on the three extracting principal components. hTe geographical distribution tendency chart for healthy people’s letf Tei index was iftted out by the ArcGIS spatial interpolation analysis. Conclusion: hTe geographical distribution for letf ventricular Tei index in China follows certain pattern. hTe reference value in North is higher than that in South, while the value in East is higher than that in West.
