Hubungan antara Sympathetic Hyperarousal dan Stres Akademik pada Mahasiswa
Bibliographic record
Abstract
Sympathetic hyper-arousal is a condition of excessive activation of the sympathetic nervous system and the hypothalamus–pituitary–adrenal (HPA) axis caused by prolonged stress exposure. Academic stress among university students is a prominent form of psycho-social stress that can disrupt the autonomic nervous system balance and induce physiological and psychological dysfunctions. Heart Rate Variability (HRV) and cortisol levels are widely used objective biomarkers to assess neural and hormonal responses to stress. This study aimed to evaluate the relationship between academic stress and sympathetic hyper-arousal in university students through a systematic review and meta-analysis of HRV parameters and cortisol levels. Following PRISMA 2020 guidelines, literature searches were conducted in PubMed using relevant keywords. Studies meeting inclusion criteria were quantitatively analyzed using RevMan 5.4 under a random-effects model. Quality was assessed with the Newcastle–Ottawa Scale (NOS), and bias and sensitivity analyses were performed to ensure validity. Of 387 identified articles, four studies involving 520 students aged 18–25 years met inclusion criteria. Meta-analysis revealed a significant decrease in HRV during academic stress (Hedges’ g = –0.61; 95% CI –0.94 to –0.28; p < 0.01; I² = 42%) and a significant increase in cortisol levels (Hedges’ g = 0.47; 95% CI 0.19–0.75; p = 0.003; I² = 26%). All studies used the Perceived Stress Scale to assess subjective stress, and study quality was good (NOS 7–9). Academic stress correlates with increased sympathetic activity and decreased parasympathetic regulation, indicated by reduced HRV and elevated cortisol. These findings highlight sympathetic hyper-arousal under academic stress and support the use of physiological stress management approaches such as mindfulness and HRV biofeedback in higher education.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".