The association between resting heart rate and type 2 diabetes and hypertension in Korean adults
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to analyse the association between resting heart rate (RHR) and type 2 diabetes and hypertension in Korean adults. METHODS: A total of 5124 participants, who participated in the exercise programme at the National Health Promotion Center between 2007 and 2010 (male=904, female=4220) were analysed in this study. Anthropometrics, body mass index (BMI), blood pressure (BP) and RHR were measured, and blood samples were collected after fasting for at least 12 hours. RESULTS: To investigate the association between RHR and metabolic parameters, participants were divided into quartiles. Participants in the fourth quartile (RHR >80 beats per minute (bpm) showed significantly higher systolic and diastolic BP and glucose compared with participants in the first quartile (RHR <69 bpm). When logistic regression analyses were performed, participants in the fourth quartile of RHR had 2.76 times (95% CI 2.03 to 3.77; absolute risk (AR): 12.1% (166/1371)) higher odds of type 2 diabetes and 1.27 times (95% CI 1.04 to 1.55; AR: 22.2% (304/1371)) higher odds of hypertension compared with those in the first quartile of RHR (type 2 diabetes AR: 5.3% (71/1346); hypertension AR: 18.9% (254/1346)). Multiple regression analyses showed that both BMI and RHR were significantly associated with glucose and mean arterial pressure. CONCLUSIONS: RHR is significantly associated with type 2 diabetes and hypertension independent of age, gender, BMI, smoking, drinking and family history of disease. RHR in combination with BMI, and multiple linear regression analyses emphasise the importance of the association of RHR with type 2 diabetes and hypertension in Korean adults.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".