摘要
目的:分析100天健走干预对超重/肥胖职业人群体重、身体质量指数(BMI)、体脂率和腰围的影响,探讨适合超重/肥胖职业人群的健走推荐量。方法:以2017年中国疾病预防控制中心慢病中心开展的"万步有约"职业人群健走激励干预项目为依托,共得到6924名超重/肥胖职业人群的健走记录数据和100天健走前后的体重、BMI、体脂率和腰围测量数据,其中男性4006名(43.2±8.5岁),女性2918名(42.1±8.0岁)。采用配对样本t检验分析人群健走前后体重、BMI、体脂率、腰围的变化;采用一般线性回归分析干预期内有效步数对肥胖程度变化的影响;采用受试者工作特征曲线(ROC曲线),以有效步数作为检验变量,体重、BMI、体脂率、腰围是否下降有效值作为状态变量,探讨健走推荐量。结果:(1)100天健走后,研究对象的体重、BMI、体脂率和腰围均有所下降(P<0.05)。与干预前相比,日均有效步数每增加1000步,体重平均多下降0.083 kg,BMI平均多下降0.031 kg/m^(2),腰围多下降0.117 cm,体脂率多下降0.038%。(2)ROC曲线分析结果,体重下降5%的每日有效步数切点:11896(男,30~39岁),13156(男,40~49岁),13447(男,50~59岁),12625(女,30~39岁),12583(女,40~49岁);BMI下降1个单位的每日有效步数切点:11883(男,30~39岁),12162(男,40~49岁),11134(女,30~39岁),12560(女,40~49岁),13644(女,50~59岁);腰围减少4 cm的每日有效步数切点:12343(男,30~39岁),12345(男,40~49岁),13109(男,50~59岁),11213(女,30~39岁),12367(女,40~49岁);体脂率下降1%的每日有效步数切点:11160(男,30~39岁),12809(男,40~49岁),12975(女,50~59岁)。ROC曲线建立的不同性别年龄段肥胖状况改变的有效步行量切点平均值为12411步/天。结论:100天健走对超重/肥胖职业人群的健康改善有积极作用,每日有效步数12000步可作为其改善超重/肥胖状况的有效健走推荐量。
Objective To analyze the influence of 100-day walking on the weight,body mass index(BMI),body fat percentage(BF%)and waist circumference of the overweight and obese occupational population,and to explore the suitable and effective steps for daily walking.MethodsBased on the"Commitment to 10,000 Steps"brisk walking project for the occupational population launched by the Chronic Disease Center of China Center for Disease Control and Prevention in 2017,the weight,BMI,BF%and waist circumference of 6924 overweight and obese participants before and after the100-day brisk walking were obtained,including 4006 males with an average age of 43.2±8.5 and2918 females with an average age of 42.1±8.0.T-test of paired samples was used to analyze changes in the weight,BMI,BF%and waist circumference before and after the 100-day walking,and general linear regression was used to analyze the effect of walking on obesity.The receiver operating characteristic(ROC)curve was used to discuss the recommended steps of walking with the effective step as the test variable,and the effective decrease in the weight,BMI,BF%and waist circumference as state variables.ResultsAfter 100-day walking,the average weight,BMI,BF%and waist circumference of all subjects decreased(P<0.05),with an increase in the everyday walking step of 1000,a decrease of 0.083 kg,0.031 kg/m^(2),0.038%and 0.117 cm in the average weight,BMI,BF%and waist circumference respectively.The results of ROC curve analysis showed that the daily effective steps for5%weight loss were 11896(male,30~39 years old),13156(male,40~49 years old),13447(male,50~59 years old),12625(female,30~39 years old),and 12583(female,40~49 years old);the cutoff points of effective daily steps for one unit of BMI loss were 11883(male,30~39 years old),12162(male,40~49 years old),11134(female,30~39 years old),and 12560(female,40~49 years old);The cut-off points of daily effective steps for reducing the waist circumference by 4 cm were 12343(male,30~39 years old),12345(male,40~49 years old),13109(male,50~59 years old),11213(female,30~39 years old),and 12367(female,40~49 years old);the cut-off points of daily effective steps for reducing BF%by 1%were 11160(male,30~39 years old),12809(male,40~49 years old)and 12975(female,50~59 years old).Moreover,ROC curve established the mean effective step for changing obesity in different genders and age groups was 12,411 per day.ConclusionThe project of100-day walking has positive effect on the health improvement of the overweight and obese occupational population.Effective walking steps of 12,000 per day can be recommended to the overweight and obese occupational population.
作者
刘禄彤
宋俊辰
李红娟
赵一凡
蒋炜
Liu Lutong;Song Junchen;Li Hongjuan;Zhao Yifan;Jiang Wei(Exercise and Physical Fitness Key Laboratory of Ministry of Education,School of Sport Science,Beijing Sport University,Beijing 100084,China;Centerfor Chronic Diseases,Chinese Center for Disease Control and Prevention,Beijing 102206,China)
出处
《中国运动医学杂志》
CAS
CSCD
北大核心
2021年第3期165-170,共6页
Chinese Journal of Sports Medicine
基金
国家重点研发计划(2018YFC2000600)。
关键词
健走步数
减肥
职业人群
超重/肥胖
brisk walking steps
weight loss
occupational population
overweight/obesity