Sexual Activity the Night Before Exercise Does Not Affect Various Measures of Physical Exercise Performance
Bibliographic record
Abstract
INTRODUCTION: The idea that sexual activity can affect athletic performance has been a matter of conjecture for the past several decades. AIM: To provide preliminary data on whether sexual activity the evening before several physical exercise performance tests affects performance the next day. METHODS: Eight participants (mean age, 28 ± 5 years) underwent several physical exercise performance tests on 3 different mornings, under 3 conditions: (i) no sexual intercourse the night before the tests (control), (ii) sexual intercourse the night before the tests, and (iii) yoga the night before the tests (randomized, single-blinded). MAIN OUTCOME MEASURES: Physical work capacity, lower body muscular power (standing vertical jump), upper body strength (handgrip strength), reaction time, and upper body musculoskeletal endurance (number of push-ups completed). RESULTS: All participants experienced orgasm through intercourse. The more pleasurable the orgasm, the lower the systolic blood pressure (SBP) on the day after intercourse (Spearman's rho = -0.86; P = .007). For every 2% increase in the total orgasm score, SBP decreased by 1 mmHg. Intercourse lasted 13 minutes; mean heart rate (HR) and caloric expenditure ranged from 88 to 145 beats/minute and from 53 to 190 kcal, respectively. There were no significant differences in the physical working capacity that elicited an HR of 170 beats/minute, number of push-ups completed, vertical jump height, grip strength, or reaction time across the 3 conditions. CONCLUSION: Orgasm through sexual activity on the night before physical exercise may reduce SBP; however, we were unable to demonstrate a statistically significant difference in physical exercise performance in any of the 3 conditions. Zavorsky GS, Vouyoukas E, Pfaus JG. Sexual Activity the Night Before Exercise Does Not Affect Various Measures of Physical Exercise Performance. Sex Med 2019;7:235-240.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.004 | 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".