成都市20-29岁“健康”人群的六分钟步行距离及预测模型

发布时间：2018-04-29 05:08

本文选题：六分钟步行距离 + 健康人群　；参考：《遵义医学院》2017年硕士论文

【摘要】：目的:评估成都市年轻“健康”人群的六分钟步行距离(Six-minute walk distance,6MWD),并且构建一个可预测成都市“健康”人群的6MWD的模型,为针对成都市胸外科患者行六分钟步行试验(Six-minute walk test,6MWT)提供对照依据,并为进一步研究6MWT在胸外科的临床意义和应用价值打下基础。方法:在2016年10月1日-11月30日间,招募390名20-29岁成都市“健康”受试者,在同一天完成2次6MWT,取其中最远距离作为最终6MWD。记录受试者的基本信息和既往病史,和受试者完成6MWT前后的心率,血压、心率恢复时间、有无不适感,并计算受试者测试前后的脉压、平均动脉压和测试前后的心率差、脉压差和平均动脉压差。使用SPSS 22.0软件进行统计学分析数据,计量资料采用均数±标准差(±S)表示,使用t检验做定量资料的单因素分析,χ2检验比较有锻炼习惯的人在各自性别中的所占率有无统计学差异。用Pearson相关分析分析受试者的6MWD和记录的各项数据间的相关性。对300名受试者的数据使用多元线性回归分析寻找6MWD的影响因素并建立6MWD的预测模型。使用该模型计算剩余受试者的预计6MWD,并与实际6MWD比较二者间差异。使用国外预测模型预测本组受试者6MWD,并与实际6MWD比较二者间差异。结果:390名受试者均完成2次6MWD,排除30名不符合测试要求受试者的结果,采用360名受试者的结果纳入本次研究。本次研究显示成都市20-29岁“健康”人群的6MWD是649.1±27.93 m,男性高于女性(分别是672.67±28.8 m和637.24±18.28m,t=11.265,P0.0001),有锻炼习惯人群高于无锻炼习惯人群(分别是660.41±31.6m和644.73±25.0m,t=4.111,P0.0001)。对300名受试者的数据进行单因素分析结果显示:年龄、性别、身高、体重、体重指数(Body mass index,BMI)、心率变量、心率恢复时间、收缩压、舒张压、平均动脉压、有无锻炼习惯、测试后心率、测试后收缩压、测试后舒张压、测试后脉压及能量消耗与6WMD呈正相关(P0.05),静息心率与6MWD呈负相关(P0.05)。有锻炼习惯的男性比女性多(二者占各自性别的百分比为37.6%和24.1%,χ2=5.974,P=0.021)。多因素分析结果显示:性别(G)、身高(H)、体重(W)、体重指数(Body mass index,BMI,B)、心率变量(△HR)及有无锻炼习惯(E)是6MWD的影响因素。6MWD的预测模型是:6MWD=213.876+8.006G+2.403H-0.511W+1.818B+14.607E+0.338△HR+0.056T,将剩余60名受试者测试结果带入该模型计算得预测6MWD与其实际6MWD无统计学差异。国外预测模型预测结果与实际结果均有差异(P0.0001)。结论:1.预测成都市20-29岁“健康”人群6MWD的模型是:6MWD=213.876+8.006G+2.403H-0.511W+1.818B+14.607E+0.338△HR+0.056T;2.本次研究建立的预测模型,可预测成都市20-29岁“健康”人群的6MWD;3.有无锻炼习惯是决定该年龄段“健康”人群6MWD的主要影响因素。
[Abstract]:Objective: to evaluate the six minute walking distance of six minutes walk distension in Chengdu's young "healthy" population and to construct a 6MWD model for predicting "healthy" population in Chengdu. To provide a control basis for Six-minute walk test 6MWTfor chest surgery patients in Chengdu, and to lay a foundation for further study of the clinical significance and application value of 6MWT in thoracic surgery. Methods: from October 1 to November 30, 2016, 390 healthy subjects aged 20-29 in Chengdu were recruited, and 6MWTs were completed twice on the same day, and the longest distance was taken as the final 6MWD. The basic information and past medical history of the subjects were recorded, and the heart rate, blood pressure, recovery time of heart rate and discomfort before and after 6MWT were recorded. The pulse pressure, mean arterial pressure and heart rate difference before and after the test were calculated. Pulse pressure difference and mean arterial pressure difference. SPSS 22.0 software was used to carry out statistical analysis of the data. The mean 卤standard deviation (卤S) was used to measure the data. Using t test as a single factor analysis of quantitative data, 蠂 2 test was used to compare whether there was statistical difference in the percentage of people with exercise habits in their sex. Pearson correlation analysis was used to analyze the correlation between 6MWD and recorded data. The data of 300 subjects were analyzed by multiple linear regression analysis to find the influencing factors of 6MWD and to establish the prediction model of 6MWD. The estimated 6 MWD of the remaining subjects was calculated using this model and the difference was compared with the actual 6MWD. The foreign predictive model was used to predict 6MWD and the difference was compared with the actual 6MWD. Results six MWDs were completed twice by: 390 subjects and 30 subjects who did not meet the test requirements were excluded. The results of 360 subjects were included in this study. This study showed that the 6MWD of the healthy population aged 20-29 in Chengdu was 649.1 卤27.93 m, which was higher in males than in females (672.67 卤28.8m and 637.24 卤18.28m, respectively). The 6MWD of people with exercise habits was higher than that of those without exercise habits (660.41 卤31.6m and 644.73 卤25.0mt4.111m, respectively). Univariate analysis showed that age, gender, height, body mass index (BMI), heart rate variable, heart rate recovery time, systolic blood pressure, diastolic blood pressure, mean arterial pressure, exercise habit, Heart rate, systolic blood pressure, diastolic blood pressure, pulse pressure and energy expenditure were positively correlated with 6WMD (P 0.05). Resting heart rate was negatively correlated with 6MWD (P 0.05). There were more males than females with exercise habits (the percentages of them were 37.6% and 24.1% respectively, 蠂 ~ 2 = 5.974%, P < 0.021). The results of multivariate analysis showed that sex, height, weight, body mass, heart rate and exercise habit were the influencing factors of 6MWD. The predictive model of 6MWD was: 1. 818 G 2.403H-0.511W 1.818B 14.607E 0.338 HR 0.056T. the other 60 subjects were selected as follows: 1. 6MWD: 213.876 8.00G 2.403H-0.511W 1.818B 14.607E 0.338 HR 0.056T. the other 60 patients will be treated by the following predictors: 6MWD: 213.876 8.00G 2.403H-0.511W 1.818B 14.607E 0.338 HR 0.056T The test results showed that there was no statistical difference between the predicted 6MWD and the actual 6MWD. The prediction results of foreign prediction models are different from those of actual ones (P 0.0001). Conclusion 1. The prediction model of 6MWD for "healthy" population aged 20-29 in Chengdu is: 1. 813. 876 8. 006G 2.403H-0.511W 1. 818B 0.338 HR 0. 056T0. 2. The prediction model established in this study can predict 6MW DX of healthy population aged 20-29 in Chengdu. Exercise habits are the main determinants of 6MWD in this age group.
【学位授予单位】：遵义医学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：R655

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