| Title |
Biological age as a health index for mortality and major age-related disease incidence in Koreans: National Health Insurance Service – Health screening 11-year follow-up study
|
|---|---|
| Published in |
Clinical Interventions in Aging, March 2018
|
| DOI | 10.2147/cia.s157014 |
| Pubmed ID | |
| Authors |
Young Gon Kang, Eunkyung Suh, Jae-woo Lee, Dong Wook Kim, Kyung Hee Cho, Chul-Young Bae |
| Abstract |
A comprehensive health index is needed to measure an individual's overall health and aging status and predict the risk of death and age-related disease incidence, and evaluate the effect of a health management program. The purpose of this study is to demonstrate the validity of estimated biological age (BA) in relation to all-cause mortality and age-related disease incidence based on National Sample Cohort database. This study was based on National Sample Cohort database of the National Health Insurance Service - Eligibility database and the National Health Insurance Service - Medical and Health Examination database of the year 2002 through 2013. BA model was developed based on the National Health Insurance Service - National Sample Cohort (NHIS - NSC) database and Cox proportional hazard analysis was done for mortality and major age-related disease incidence. For every 1 year increase of the calculated BA and chronological age difference, the hazard ratio for mortality significantly increased by 1.6% (1.5% in men and 2.0% in women) and also for hypertension, diabetes mellitus, heart disease, stroke, and cancer incidence by 2.5%, 4.2%, 1.3%, 1.6%, and 0.4%, respectively (p<0.001). Estimated BA by the developed BA model based on NHIS - NSC database is expected to be used not only as an index for assessing health and aging status and predicting mortality and major age-related disease incidence, but can also be applied to various health care fields. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 15% |
| Student > Master | 7 | 13% |
| Researcher | 5 | 9% |
| Other | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 21 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 19% |
| Nursing and Health Professions | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Business, Management and Accounting | 2 | 4% |
| Other | 10 | 19% |
| Unknown | 25 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 February 2019.
All research outputs
#3,711,927
of 25,382,440 outputs
Outputs from Clinical Interventions in Aging
#419
of 1,968 outputs
Outputs of similar age
#72,421
of 344,853 outputs
Outputs of similar age from Clinical Interventions in Aging
#11
of 51 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 344,853 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.