Version: 1.0.0 | Published: 17 Feb 2025 | Updated: 376 days ago
Summary
DOI Name:
10.48532/024000
Documentation
Description:
The EPINEF study was based on 6 prospective community-based cohorts (4 pre-existing and 2 newly established cohorts) involving areas with low, moderate, and high exposure risk (Figure 1). The 4 pre-existing cohorts included the Korean Genome and Epidemiology Study (KoGES) in Gangwha , the Korean Urban Rural Elderly cohort in Seoul , the Cardiovascular and Metabolic Diseases Etiology Research Center cohort in Seoul , and the Seoul incinerator cohort . The new cohorts were based in Namdong-gu, Incheon (where a large industrial complex is located) and Wonju/Pyeongchang (rural areas). The Seoul incinerator and Namdong cohorts, which include regions within a specific distance (300 m or 1 km) from the source of pollution (industrial complex region) were classified as having high exposure risk, whereas the KoGES and Wonju/Pyeongchang cohorts, which are considered as rural areas, were classified to have low exposure risk. The remaining cohorts were classified to have moderate exposure risk. By distinguishing between high exposure risk and moderate/low exposure risk based on the surrounding proximity of the industrial complex, we were able to obtain a basis for the classification of exposure and non-exposure to environmental pollutants and analyze differences between exposed and non-exposed regions. This multi-city design was chosen to obtain sufficient variation in the level of exposure to environmental pollutants. The survey centers were located at 3 university-based hospitals: Yonsei University Severance Hospital (Seoul and Gangwha), Gachon University Gil Medical Center (Incheon), and Wonju Severance Christian Hospital (Wonju and Pyeongchang).
Coverage
Spatial:
Seoul, Korea
Typical Age Range:
60-100
Follow Up:
Continuous
Provenance
Origin
Purposes:
Study
Temporal
Accrual Periodicity:
Continuous
Start Date:
01 May 2014
Time Lag:
Not applicable
Accessibility
Access
Access Service:
The Data Portal runs its analysis environment through a virtual desktop
infrastructure accessible via VMWare software. By analysing the data in the
virtual desktop environment you are working on DPUK"s servers – meaning there is
no physical transfer of data to researchers. The processing capacity enables you
to work with large numbers of records and integrate these with the other data
modalities that exist in the DPUK cohorts. This solution also offers researchers
the freedom to conduct their analyses anywhere with an internet connection.
Data Processor:
Dementias Platform UK
Format and Standards
Vocabulary Encoding Schemes:
OTHER
Conforms To:
OTHER
Languages:
en
Formats:
CSV