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Guangzhou Occupational Cohort Study
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Sample details

The Guangzhou Occupational Cohort Study was established to investigate the mortality of workers in relation to smoking and occupational exposures in Guangzhou, China. The cohort is comprised of 2 sub-cohorts: over 82,000 factors workers, and over 86,000 drivers. All participants were 30 years old or above when entering the cohort. Initial details on participants was obtained from the Guangzhou Occupational Diseases Prevention and Treatment Center, which was responsible for occupational health surveillance of workers in the region. Workers with records from 1988-1992 were included in the cohort, whilst for drivers, those examined from March-December 1992 were included. Vital status was followed up through data linkage until the end of 1998 for the worker participants, and September 1999 for the driver participants.

Study design
Cohort - occupational, Cohort

Number of participants at first data collection

82,159 (worker participants)

86,404 (driver participants)

Age at first data collection

≥ 30 years (worker participants)

≥ 30 years (driver participants)

Participant year of birth

Varied (worker participants)

Varied (driver participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Occupational
Workers
Dataset details

Country

China

Year of first data collection

1988 (worker participants)

1992 (driver participants)

Primary Institutions

University of Hong Kong (香港大學, HKU)

Links

web.archive.org/web/20180409113925/http:/www.apcsc.info/ParticipatingStudies.html

doi.org/10.1016/S1047-2797(01)00299-X

doi.org/10.1136/tc.11.2.108

Funders

Guangdong Provincial Health Commission (广东省卫生健康委员会)

Guangzhou Science and Technology Bureau

Hong Kong Health Services Research Committee (now known as Hong Kong Research Fund)

Hong Kong Research Grants Council (RGC)

University of Oxford

Ongoing?
No

Data types collected

dataLinkage
Quantitative data collection
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Employer data
  • Geographic, spatial & environmental data
  • Healthcare data
  • Mortality data
  • Police & judicial system data
Features

Engagement

  • None
  • Keywords

    Cancer
    Causes of death
    Medical records
    Morbidity and mortality
    Occupational exposure
    Smoking
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