Abstract
刘爱玲,李艳平,宋军,潘慧,韩秀明,马冠生.加速度计对成人日常体力活动测量效度的研究[J].Chinese journal of Epidemiology,2005,26(3):197-200
加速度计对成人日常体力活动测量效度的研究
Study on the validation of the computer science application’s activity monitor in assessing the physical activity among adults using doubly labeled water method
Received:July 19, 2004  
DOI:
KeyWord: 加速度计  双标水  能量消耗
English Key Word: Aaccelerometer  Doubly labeled water  Energy expenditure
FundProject:
Author NameAffiliation
LIU Ai-ling Department of Obstetrics and Gynecology, Second Affiliated Hospital of Traditional Chinese Medicine and Materia Medica University,Guangzhou 510105,China 
LI Yan-ping Department of Obstetrics and Gynecology, Second Affiliated Hospital of Traditional Chinese Medicine and Materia Medica University,Guangzhou 510105,China 
SONG Jun Department of Obstetrics and Gynecology, Second Affiliated Hospital of Traditional Chinese Medicine and Materia Medica University,Guangzhou 510105,China 
PAN Hui Department of Obstetrics and Gynecology, Second Affiliated Hospital of Traditional Chinese Medicine and Materia Medica University,Guangzhou 510105,China 
HAN Xiu-ming Department of Obstetrics and Gynecology, Second Affiliated Hospital of Traditional Chinese Medicine and Materia Medica University,Guangzhou 510105,China 
MA Guan-sheng Department of Obstetrics and Gynecology, Second Affiliated Hospital of Traditional Chinese Medicine and Materia Medica University,Guangzhou 510105,China 
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Abstract:
      目的 对加速度计(CSA)测量成年人日常体力活动的效度进行验证并提出根据 CSA数据预测能量消耗的方程。方法 选取 72 名北京市居民,年龄(43.6±4.0)岁,男性 33 名,女性 39名,作为调查对象,佩带7天CSA,在同一期间采用双标水方法(DLW) 测量能量消耗,包括平均每天总能量消耗(TEE)、平均每天体力活动能量消耗(AEE)和体力活动水平(PAL)作为验证标准。结果通过CSA测量的平均每天活动计数(AC)与TEE、AEE和PAL之间均呈显著相关,偏相关系数 r 分别为0.31、0.30、0.26(P<0.05)。逐步多元回归分析表明,影响TEE的因素包括去脂体重或体重指数、AC(R2=0.52~0.70),影响AEE的因素包括AC、性别和去脂体重(R2=0.25~0.32)。结论 CSA能准确测量中国成年人日常体力活动模式,AC可以解释TEE和AEE的变异。
English Abstract:
      Objective Using doubly labeled water method to validate the colmputer science application’s activity monitor (CSA) in assessing physical activity of free-living adults in Beijing,in order to develop equations to predicttotal daily energy expenditure(TEE) and activity related energy expenditure (AEE) from activity counts (AC) and anthropometric variables. Methods A total of 72 healthy adults (33males and 39 females,mean age 43.6 ±4.0 yr) were monitored for 7 consecutive days by CSA. TEE was simultaneously measured using doubly labeled water method. Average AC (counts/ min - 1 ) was compared with TEE,AEE and physical activity level(PAL).Results Physical activity determined by AC was significantly related to data on energy expenditures:TEE(r =0.31,P < 0.01),AEE(r = 0.30,P <0.05),and PAL(r =0.26,P<0.05).Multiple stepwise regression analysis showed that TEE was significantly influenced by gender,fat2free mass (FFM) or BMI and AC(R2 = 0.52~0.70) while AEE was significantly influenced by gender,FFM and AC( R2 = 0.25~0.32).Conclusion AC from CSA activity monitor seemed a useful measure in studying the total amount of physical activity in free-living adults while AC significantly contributed to the explained variation in TEE and AEE.
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