2022 Fiscal Year Research-status Report
Useful Estimation of Fitness and Fatness for Association with Health Outcomes
| Project/Area Number |
19K19437
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| Research Institution | Kagoshima University |
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Principal Investigator |
Sloan Robert 鹿児島大学, 医歯学域医学系, 講師 (70765718)
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| Project Period (FY) |
2019-04-01 – 2024-03-31
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| Keywords | cardiovascular fitness / electronic health record / health outcomes |
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| Outline of Annual Research Achievements |
We validated a new algorithm to estimate cardiorespiratory fitness that is typically measured on a clinical treadmill test using commonly available variables in electronic health records in 42,676 adults. The algorithm from this study was then used in a new study to predict abnormal blood glucose. It was found that the algorithm can predict abnormal blood glucose on par with clinical treadmill testing. The algorithm has advantages, such as standardization across EHR systems, decreasing administration time, and allowing practitioners to counsel patients. Three healthcare systems in America are considering the algorithm for implementation.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
In Total, from the grant, we have published five studies in peer reviewed journals (Impact Factors 4.6~14.6) and presented at five conferences (2 domestic and 3 international).
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| Strategy for Future Research Activity |
A series of new studies evaluating various mortality and morbidity outcomes are being planned for the near future.
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| Causes of Carryover |
Because of the Covid-19 pandemic, several plans were changed. The remaining budget will be for paper publication fee or travel expense.
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Research Products
(3 results)
