Evidence map›Paper›PMID 38001522›Full record

ArticleThe international journal of behavioral nutrition and physical activity2023

Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants.

Yuanyuan Chen, Shing Chan, Derrick Bennett, Xiaofang Chen, Xianping Wu, Yalei Ke, Jun Lv, Dianjianyi Sun, Lang Pan, Pei Pei and 9 more

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

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  15. Joint exposure to PMFrontiers in public health · 2025
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  19. Correction: Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants.The international journal of behavioral nutrition and physical activity · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 5 institutions in 3 countries.

Yuanyuan ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Shing ChanNuffield Department of Population Health, University of Oxford, Oxford, UK.
Derrick BennettNuffield Department of Population Health, University of Oxford, Oxford, UK.
Xiaofang ChenDepartment of Epidemiology and Statistics, Chengdu Medical College, Chengdu, Sichuan, China.
Xianping WuSichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Yalei KeDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Dianjianyi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Lang PanCenter for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China.
Pei PeiCenter for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China.
Ling YangMedical Research Council Population Health Research Unit, University of Oxford, Oxford, UK.
Yiping ChenMedical Research Council Population Health Research Unit, University of Oxford, Oxford, UK.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Huaidong DuMedical Research Council Population Health Research Unit, University of Oxford, Oxford, UK. huaidong.du@ndph.ox.ac.uk.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China. yucanqing@pku.edu.cn.ORCID 0000-0002-0019-0014
Aiden DohertyNuffield Department of Population Health, University of Oxford, Oxford, UK.
China Kadoorie Biobank Collaborative Group
Peking University · CNUniversity of Oxford · GBChengdu Medical College · CNChina National Center for Food Safety Risk Assessment · CNSichuan Center for Disease Control and Prevention · CN

Funding

British Heart Foundation SP/18/4/33803Cancer Research UK 29186Medical Research Council MC_UU_00017/1Wellcome TrustWellcome Trust 088158/Z/09/ZWellcome Trust 104085/Z/14/ZWellcome Trust 202922/Z/16/ZWellcome Trust 212946/Z/18/ZWellcome Trust 223100/Z/21/Z
6 · The paper itself

Abstract

backgroundMovement behaviours, including physical activity, sedentary behaviour, and sleep have been shown to be associated with several chronic diseases. However, they have not been objectively measured in large-scale prospective cohort studies in low-and middle-income countries. We aim to describe the patterns of device-measured movement behaviours collected in the China Kadoorie Biobank (CKB) study.

methodsDuring 2020 and 2021, a random subset of 25,087 surviving CKB individuals participated in the 3

resultsData from 21,897 participants (aged 65.4 ± 9.1 years; 35.4% men) were received for demographic and wear-time analysis, with a median wear-time of 6.9 days (IQR: 6.1-7.0). Among them, 20,370 eligible participants were included in movement behavior analyses. On average, they had 31.1 mg/day (total acceleration) overall activity level, accumulated 7.7 h/day (32.3%) of sleep time, 8.8 h/day (36.6%) sedentary, 5.7 h/day (23.9%) in light physical activity, and 104.4 min/day (7.2%) in moderate-to-vigorous physical activity. There was an inverse relationship between age and overall acceleration with an observed decline of 5.4 mg/day (17.4%) per additional decade. Women showed a higher activity level than men (32.3 vs 28.8 mg/day) and there was a marked geographical disparity in the overall activity level and time allocation.

conclusionsThis is the first large-scale accelerometer data collected among Chinese adults, which provides rich and comprehensive information about device-measured movement behaviour patterns. This resource will enhance our knowledge about the potential relevance of different movement behaviours for chronic disease in Chinese adults.

Indexed as

Biological Specimen BanksExerciseAccelerometryAdultFemaleHumansMaleProspective StudiesSedentary BehaviorSleepTime FactorsAccelerometerAdultsCohort studyMovement behaviours

Identifiers

PMID38001522
PMCPMC10668372
OpenAlexW4388978558

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.