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CompletedNCT04142593Updated Mar 22, 2022

Application of Decision Analysis Techniques' in Huge Health-checkup Database to Explore the High-risk Group With Metabolic Syndrome

An observational study in Mets, sponsored by Far Eastern Memorial Hospital. Completed at 1 site in Taiwan. Per ClinicalTrials.gov, last updated 2022-03-22.

Sponsored by Far Eastern Memorial Hospital · Observational

Study type
Observational
Model
Other
Time perspective
Other
Enrollment
100,000
Sex
All
01

Study summary

Application of Decision Analysis Techniques' in Huge Health-checkup Database to Explore the High-risk Group With Metabolic Syndrome (MetS)

Read the detailed description

According to the American Heart Association(AHA)modified Adult Treatment Panel III(ATP-III) and the criteria of Health Promotion Administration, Taiwan. Five indices are used to define metabolic syndrome(MetS): including waist circumference (WC), high blood pressure(H/P), fasting plasma glucose(FPG), triglyceride(TG), and high-density lipoprotein-cholesterol(HDL-C). The recent researches showed us, there was no research applying the five criteria into their decision model. This study proposal will be the first study which evaluated the importance of the criteria related to apply these indices and decision model into the clinic for risk factors assessment.

This study was divided into 2 stages: (1) to analyze the big database of health examination to find out the major decision-making analysis module of MetS, including the level of importance and decision-making weight of 5 indicators, which can be provided as reference for suggestions on clinical medical treatments or health education focuses of health management of sub-health population; (2) to analyze other demographic variables of the database (educational background, residence, occupation, etc.) and the variables affecting health patterns (including smoking, drinking, long-term sitting work pattern) to find out the important variables affecting high risk group for MetS among populations of all ages, in order to investigate the improvement strategies for early prevention or intervention of important variables. As aging society is coming, it is estimated that the elderly people over the age of 65 in Taiwan will reach 20% by 2025. According to the estimation of Executive Yuan, the growth rate of healthcare service industry will reach at least 17%, and the annual output value will reach USD 18 billion. Therefore, this study intends to develop strategies for preventing chronic illness in the middle-aged and elderly people and find out the characteristic variables of high risk group according to different age groups to further reduce the incidence of MetS or CVD.

02

Conditions studied

  • Mets

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Keywords

  • Metabolic Syndrome(MetS)
  • Classification
  • Decision Tree
  • Risk Factors Assessment
03

In context

Metabolic Syndrome

1,964 studies on the registry are indexed under Metabolic Syndrome; 330 are open to participants now.

This study's enrollment of 100,000 is above the median of 200 across 458 observational studies indexed under Metabolic Syndrome.

Browse Metabolic Syndrome studies →

Lead sponsor

Far Eastern Memorial Hospital is the lead sponsor of 253 studies on the registry; 38 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

As aging society is coming, it is estimated that the elderly people over the age of 65 in Taiwan will reach 20% by 2025. According to the estimation of Executive Yuan, the growth rate of healthcare service industry will reach at least 17%, and the annual output value will reach USD 18 billion. Therefore, this study intends to develop strategies for preventing chronic illness in the middle-aged and elderly people and find out the characteristic variables of high risk group according to different age groups to further reduce the incidence of MetS or CVD.

Inclusion criteria

  1. In 2006-2016, the MJ Health Research Foundation's member,which continuously tested twice or more of the annual health check database , about 90,000 people.
  2. The person who was in charge of the taxi driver health checkup project commissioned by the New North City Transportation Bureau at Far Eastern Memorial Hospital, data period 2012-2016, about 2,000 people.

Exclusion criteria

Exclusion Criteria:

  • no
05

Study design

Observational model
Other
Time perspective
Other
Enrollment
100,000 participants (actual)
Target follow-up
10 Years
Patient registry
Yes
06

What researchers measure

Primary outcomes

  1. analyze the big database of health examination to find out the major decision-making analysis module of MetS

    This study plans to use decision analysis and new statistical techniques, including decision tree algorithms; random forest algorithms; multivariate linear regression combinations and hierarchical linear models, and with a large number of health databases. Analysis, through the comprehensive health check report and physiological indicator data accumulated over many years, find more key variables or physiological indicators that can be used to evaluate MetS or CVD, in order to provide government departments, medical institutions or nationals early Detect or prevent, and further reduce the overall rate of MetS in Taiwan at this stage.

07

Study locations

1 site
  • Oriental Institute of Technology / Far Eastern Memorial Hospital
    New Taipei City, Pan-Chiao Dist. 22061, Taiwan
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Mar 22, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT04142593
Lead sponsor
Far Eastern Memorial Hospital
Responsible party
Sponsor
First posted
Oct 29, 2019
Start date
Sep 1, 2018
Primary completion
Sep 15, 2019
Completion
Jan 1, 2022
Last update
Mar 22, 2022

Study contacts

Ming-Shu Chen, PhD
study director · Oriental Institute of Technology

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Jan 2022. You cannot join it, but the record below documents what was studied.

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