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[Progress and practice of objective measurement of physical behaviors in large-scale cohort research].
Chen, Y Y; Ke, Y L; Lyu, J; Sun, D J Y; Pan, L; Pei, P; Du, H D; Chen, J S; Chen, Z M; Li, L M; Doherty, D O H E R T Y; Yu, C Q.
Affiliation
  • Chen YY; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China.
  • Ke YL; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China.
  • Lyu J; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of E
  • Sun DJY; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of E
  • Pan L; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China.
  • Pei P; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China.
  • Du HD; Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, United Kingdom Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.
  • Chen JS; China National Center for Food Safety Risk Assessment, Beijing 100022, China.
  • Chen ZM; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.
  • Li LM; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of E
  • Doherty DOHERTY; Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom.
  • Yu CQ; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191,China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191,China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of E
Zhonghua Liu Xing Bing Xue Za Zhi ; 45(1): 35-40, 2024 Jan 10.
Article in Zh | MEDLINE | ID: mdl-38228522
ABSTRACT
Due to the limited reliability of traditional self-completed questionnaire, the accuracy of measurement of physical behaviors (physical activity, sedentary behavior and sleep) is not high. With the development of technology, wearable devices (e.g. accelerometer) can be used for more accurate measurement of physical behaviors and have great application potential in large-scale research. However, the data of objective measurement of physical behaviors from large-scale cohort research in Asian populations is still limited. Between August 2020 and December 2021, the 3rd resurvey of China Kadoorie Biobank (CKB) project used Axivity AX3 wrist triaxial accelerometer to collect the data of participants' daily activity and sleep status. A total of 20 370 participants from 10 study areas were included in the study, in whom 65.2% were women, and the age was (65.4±9.1) years. The participants' physical activity level varied greatly in different study areas. The objective measurement of participants' physical behaviors in CKB project has provided valuable resources for the description of 24-hour patterns of physical behaviors and evaluation of the health effect of physical activity, sedentary behavior and sleep as well as their association with diseases in the elderly in China.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Exercise / Accelerometry Type of study: Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: Zh Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2024 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Exercise / Accelerometry Type of study: Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: Zh Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2024 Type: Article Affiliation country: China