| Literature DB >> 36221120 |
Daniel Rosenkjær1, Allan Pacey2, Robert Montgomerie3, Anne-Bine Skytte4.
Abstract
BACKGROUND: Previous research has shown that the type and duration of erotic material that men have access to during masturbation can influence semen parameters. To our knowledge, the use of virtual reality (VR) headsets to present erotica has not previously been studied. We reasoned that, because VR can provide a more immersive experience to the user, semen parameters of masturbatory ejaculates may be altered.Entities:
Keywords: Ejaculate quality; Erotic stimulation; Male fertility; Sperm donation; Virtual reality
Mesh:
Year: 2022 PMID: 36221120 PMCID: PMC9552463 DOI: 10.1186/s12958-022-01021-1
Source DB: PubMed Journal: Reprod Biol Endocrinol ISSN: 1477-7827 Impact factor: 4.982
Results of full LMMs to predict TMSC, donation period and ejaculate volume. In each model the response variables as well as abstinence period were log10-transformed to normalize distributions and residuals (Supplementary Material Figures S1, S2); all continuous predictors were standardized to facilitate comparison of effects on the same scale. NA indicates interaction terms not included in the full models because the p-values were > 0.20; bold text indicates statistical significance (P < 0.05). Each model is based on 504 samples from 63 donors
| Total Motile Sperm Count | Donation Period (min) | Ejaculate Volume (mL) | |
|---|---|---|---|
|
| |||
| (Intercept) |
|
|
|
| VR used? [yes] | 0.03 [–0.01, 0.07] 0.14 |
|
|
| Abstinence Period |
| 0.00004 [–0.01, 0.01] > 0.99 |
|
| VR-use x Abstinence Period |
| NA | NA |
| Age (years) | 0.03 [–0.03, 0.08] 0.36 | –0.02 [–0.06, 0.01] 0.24 | 0.015 [–0.021, 0.050] 0.42 |
| BMI | –0.001 [–0.06, 0.05] 0.96 | –0.008 [–0.04, 0.03] 0.66 | –0.015 [–0.050, 0.020] 0.41 |
| Day of the year | –0.003 [–0.03, 0.02] 0.83 | –0.0009 [–0.01, 0.009] 0.85 | 0.003 [–0.006, 0.012] 0.45 |
| Location [AAR] |
| 0.008 [–0.09, 0.11] 0.87 | 0.05 [–0.05, 0.15] 0.36 |
| Location [CPH] | 0.09 [–0.05, 0.23] 0.19 | 0.05 [–0.04, 0.13] 0.25 | 0.004 [–0.08, 0.09] 0.93 |
| Location [ODE] | 0.10 [–0.08, 0.27] 0.27 | 0.07 [–0.04, 0.18] 0.21 | 0.05 [–0.06, 0.16] 0.35 |
|
| |||
| ICC | 0.43 | 0.65 | 0.70 |
| R2 marginal | 0.16 | 0.08 | 0.14 |
| R2 conditional | 0.52 | 0.67 | 0.74 |
Fig. 1Effect of abstinence period on total motile sperm count (TMSC), with and without using VR. (A) interaction plot from the full model (Table 1) with 95% confidence limits on each predicted regression. (B, C) Separate predicted regressions from models for donors with and without VR, with symbols showing the raw data. Note the log scales on all graphs
Fig. 2Effect of VR use on (A) the donation period and (B) ejaculate volume for each donor during each sperm donation (red, 252 donations in each category) and for the averages of all donations made by each donor (grey; 63 means in each category). Black symbols are means ± 95%CLs. Note the log scales on both graphs
Fig. 3Path diagram from piecewise structural equation model showing the relative magnitude of effects; estimates on each arrow are standardized coefficients such that they are on the same scale and directly comparable. Green arrows are significant effects whereas grey arrows are not significant. The width of each arrow also indicates the magnitude of each effect. Arrows join variables that might plausibly influence one another and thus directly or indirectly have an effect on the total motile sperm count (TMSC).