Association Between Telomere Length and Autonomic Functions: Applying Psychological and Physiological Measures
Bibliographic record
Abstract
Telomeres are protective chromosomal structures that are important in maintaining genomic stability. Telomere shortening results in genomic instability and contributes to aging and carcinogenesis. Despite the health risks posed by this condition, few studies have examined the relationship of telomere length (TL) to autonomic functions. In this study, we examined the association between TL and autonomic functions in Korean adolescents. A cross‐sectional study was performed with high school adolescents in a Korean city. Self‐report questionnaires were used to assess psychological measures (stress and anxiety levels), and blood samples were analyzed for physiological parameters (plasma catecholamine levels) of the participants. TL measurements were made using a qPCR‐based technique, and relative TL was calculated as the telomere/single copy (T/S) ratio. Data were analyzed using descriptive analysis and Pearson's correlation coefficient with SPSS/WIN 22.0. We found that T/S ratio was positively correlated with plasma epinephrine and norepinephrine levels ( r =.225, p =.001 and r =.187, p =.005). However, psychological stress and anxiety levels were not significantly associated with adolescents' T/S ratio. Our physiological results indicate that alteration of autonomic functions may induce TL shortening in adolescents. We believe that our findings increase the understanding of the health effects of autonomic functions. Moreover, they highlight the need for intervention strategies to prevent TL shortening due to autonomic imbalance. Support or Funding Information This research was supported by the Basic Science Research Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2016R1D1A3B03934143).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".