【摘要】：目的:從心率功能和計(jì)步功能的角度對(duì)運(yùn)動(dòng)手表進(jìn)行評(píng)價(jià),為產(chǎn)品的發(fā)展提供數(shù)據(jù);使用運(yùn)動(dòng)手表客觀采集學(xué)生體力活動(dòng)參數(shù),獲取膳食營養(yǎng)狀況,建立與學(xué)生體質(zhì)的多元逐步回歸模型。方法:1、運(yùn)動(dòng)手表的評(píng)測(cè)方法。受試者為16名大學(xué)生,同時(shí)佩戴Polar團(tuán)隊(duì)心率和逸格運(yùn)動(dòng)手表,進(jìn)行4種速度下運(yùn)動(dòng),根據(jù)錄像人工計(jì)數(shù)運(yùn)動(dòng)步數(shù)。以Polar團(tuán)隊(duì)心率數(shù)據(jù)與錄像機(jī)人工計(jì)步數(shù)為基準(zhǔn),分別和逸格運(yùn)動(dòng)手表相應(yīng)數(shù)據(jù)進(jìn)行相關(guān)、回歸分析;得出中等強(qiáng)度運(yùn)動(dòng)時(shí)心率所對(duì)應(yīng)的步頻范圍。2、身體活動(dòng)監(jiān)測(cè):受試者為小學(xué)3-6年級(jí)、初中、高中每年級(jí)各12名學(xué)生;45名大學(xué)生,共計(jì)165人;學(xué)生佩戴逸格運(yùn)動(dòng)手表,每日佩戴運(yùn)動(dòng)手表的時(shí)間為12小時(shí),共佩戴10天。讀取運(yùn)動(dòng)手表中各學(xué)生的每日步數(shù),每日步行時(shí)間,步頻等運(yùn)動(dòng)參數(shù)。3、膳食營養(yǎng)調(diào)查:連續(xù)進(jìn)行3天膳食營養(yǎng)調(diào)查,對(duì)照食物營養(yǎng)成份表,估算營養(yǎng)素?cái)z入量,并與膳食營養(yǎng)推薦攝入量進(jìn)行比較。4、學(xué)生體質(zhì)測(cè)試:依據(jù)學(xué)生體質(zhì)測(cè)試標(biāo)準(zhǔn)方法,在9月和12月分別對(duì)各年級(jí)受試者進(jìn)行2次體質(zhì)測(cè)試,獲取學(xué)生體質(zhì)數(shù)據(jù)。5、采用多元逐步回歸模型,計(jì)算營養(yǎng)和身體活動(dòng)分別與學(xué)生體質(zhì)成績的相關(guān),并根據(jù)相關(guān)分析結(jié)果進(jìn)行回歸計(jì)算,建立以運(yùn)動(dòng)手表數(shù)據(jù)和營養(yǎng)為自變量,學(xué)生體質(zhì)成績?yōu)橐蜃兞康亩嘣嚓P(guān)回歸方程。結(jié)果:1、在不同速度下,受試者運(yùn)動(dòng)心率(次/min)區(qū)間不同,逸格心率數(shù)據(jù)集中分布在80-110次/min,逸格運(yùn)動(dòng)手表的心率比Polar團(tuán)隊(duì)心率低,且具有顯著性差異(P0.01);在3.2km/h速度下,逸格運(yùn)動(dòng)手表的測(cè)量步數(shù)與錄像機(jī)步數(shù)相比有顯著性差異(P0.01),隨著測(cè)試速度增加,在4.8km/h及以上速度進(jìn)行運(yùn)動(dòng)時(shí),逸格運(yùn)動(dòng)手表測(cè)量步數(shù)與錄像機(jī)步數(shù)具有較高的一致性(r=0.932);步頻與運(yùn)動(dòng)強(qiáng)度具有高度相關(guān)性(r=0.938),心率達(dá)到中等強(qiáng)度的步頻區(qū)間為[118,148]步/min。2、小學(xué)生的步行量和步行時(shí)間最大,大學(xué)生的中高強(qiáng)度步行量最低;非周末每日步行量顯著高于周末步行量(P0.01);各年級(jí)學(xué)生的三大能量營養(yǎng)素供能比均在推薦范圍之內(nèi);學(xué)生每天攝入的維生素B1、維生素C、鈣等均未達(dá)到推薦量;肉類、豆類和油脂攝入過多,缺乏奶類及奶制品、蔬菜類的攝入;各年級(jí)學(xué)生中正常體重人數(shù)最低百分比為71.4%;超重和肥胖者占總樣本的20%。3、每日攝入的能量與學(xué)生體質(zhì)總分、BMI得分、立定跳遠(yuǎn)評(píng)分、坐位體前屈評(píng)分、引體向上評(píng)分等呈顯著性負(fù)相關(guān)(P0.05)。每日步行量和每日步行時(shí)間與肺活量、50米跑,立定跳遠(yuǎn)、坐位體前屈、耐力跑、引體向上等項(xiàng)目的分?jǐn)?shù)呈顯著性正相關(guān)(P0.01);學(xué)生體質(zhì)總分與每日攝入能量、蛋白質(zhì)、脂肪、碳水化合物等的攝入量呈顯著性負(fù)相關(guān)(P0.05)。4、體質(zhì)總分與每日步行量的線性模型擬合度較好,采用復(fù)合函數(shù)模型時(shí),每日步行量的擬合度R2下降了0.005;模型方程為:學(xué)生體質(zhì)總分=96.118-0.732×年齡+0.057×每日步行時(shí)間-4.573×性別-0.598×BMI注:年齡范圍:10-19歲;步行時(shí)間單位為min/天;BMI單位為:kg/m2;性別:男=1,女=0。驗(yàn)證結(jié)果顯示,運(yùn)動(dòng)手表公式計(jì)算的學(xué)生體質(zhì)預(yù)測(cè)值與實(shí)測(cè)值之間均存在顯著相關(guān)性,相關(guān)系數(shù)為中等(r=0.576),方程的預(yù)測(cè)值和實(shí)測(cè)值不存在顯著性差異(P=0.5)。結(jié)論:1、在學(xué)生日常生活中,能使用步頻表示運(yùn)動(dòng)強(qiáng)度,大學(xué)生達(dá)到中等強(qiáng)度的步頻為118步/min和148步/min。逸格運(yùn)動(dòng)手表的計(jì)步功能可用于日常步行的測(cè)量;測(cè)量心率的功能有待優(yōu)化。2、學(xué)生體質(zhì)情況總體較好,步行量與步行時(shí)間是影響學(xué)生體質(zhì)的重要因素,體質(zhì)總分隨步行量增加而上升的趨勢(shì)。3、得到學(xué)生體質(zhì)得分預(yù)測(cè)模型方程。
[Abstract]:Objective: To evaluate sports watch from the angle of heart rate function and counting function, and to provide data for the development of product. Methods: 1. Evaluation method of sports watch. The subject was a 16 college student while wearing a Polar team heart rate and an escape watch, moving at 4 speeds and manually counting the number of movements according to the video. correlation and regression analysis were carried out with the Polar group heart rate data and the number of manual count steps of the video recorder, respectively, and the pacing range corresponding to the heart rate during moderate intensity exercise was obtained. 2. Physical activity monitoring: The subjects were Grade 3-6 in primary school and junior middle school. High school each year 12 students; 45 college students, a total of 165; students wear escape sports watches, wear sports watches daily for 12 hours, wear 10 days. reading the daily steps of each student in the sports watch, daily walking time, step frequency and other sports parameters; 3, dietary nutrition investigation: continuously carrying out three-day dietary nutrition survey, controlling the nutrient composition table of the food, estimating the nutrient intake, and comparing with the dietary nutrition recommendation intake; 4, student body constitution test: according to the standard method of student body constitution test, in September and December, each grade subject carries out two physical tests, obtains student's physical fitness data. 5, uses multiple stepwise regression model, calculates nutrition and physical activity respectively related to student's physical performance, According to the correlation analysis result, the regression calculation is carried out, and the data and nutrition of the sports watch are established as independent variables, and the student's physique score is the multivariate correlation regression equation of the variable. Results: 1. Under different velocity, the heart rate (bpm) interval of the subjects was different, the concentration of the escape rate data was 80-110 times/ min, the heart rate was lower than that of the Polar group, and there was significant difference (P0.01); at the speed of 3. 2km/ h, There is a significant difference between the number of measured steps and the number of steps of the video recorder (P0.01). With the increase of the test speed, the number of steps taken by the runaway watch is consistent with the number of steps of the video recorder (r = 0.9932). The step frequency and the intensity of movement have a high correlation (r = 0. 938), the step frequency interval of the heart rate reaching the medium intensity is[118, 148] step/ min. 2, the walking amount and walking time of the primary school students are the largest, the middle strength walking amount of the college students is the lowest, and the daily walking amount of the non-weekend is significantly higher than the weekend walking amount (P0.01); The three major energy nutrient supply ratios of each grade student are within the recommended range; the daily intake of vitamin B1, vitamin C, calcium, etc. has not reached the recommended amount; the intake of meat, beans and oil is too much, and the intake of milk and dairy products and vegetables is lack; The lowest percentage of normal weight in all grade students was 71.4%; overweight and obese accounted for 20% of the total samples; 3. The daily intake energy was negatively correlated with student's physical score, BMI score, standing long jump score, pre-seat flexion score, body-up score, etc. (P0.05). The daily walking distance and daily walking time were positively correlated with the scores of vital capacity, 50-meter running, standing long jump, pre-sitting flexion, endurance running, leading-up and the like (P0.01); the total scores of students' physical constitution were related to daily intake energy, protein and fat. There was a significant negative correlation between the intake of carbohydrate and the like (P0.05). Student's physical fitness score = 96. 118-0.732 bpm age + 0.057 bpm daily walking time-4,573,057 bpm BMI Note: Age range: 10-19 years; walking time unit min/ day; BMI unit: kg/ m2; gender: male = 1, female = 0. The results showed that there was a significant correlation between the predicted value of the student's constitution and the measured value, and the correlation coefficient was moderate (r = 0. 576), and there was no significant difference between the predicted value of the equation and the measured value (P = 0.05). Conclusion: 1. In the daily life of students, the step frequency can be used to express the intensity of movement, and the step frequency of the college students reaching medium strength is 118 steps/ min and 148 steps/ min. the meter step function of the escape sports watch can be used for the daily walking measurement; the function of measuring heart rate is to be optimized; 2, the physical condition of the students is generally good, the walking amount and the walking time are important factors which influence the physical fitness of the students, and the physical fitness total score increases with the increase of the walking amount. 3, and obtaining a student body constitution score prediction model equation.
【學(xué)位授予單位】：南京體育學(xué)院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：G804.49

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