| Literature DB >> 35669911 |
Kirstin Clephane1,2, M Claire Wilson3, Amber N Craig4, Julia R Heiman3, Tierney K Lorenz1,2.
Abstract
Background: Though many women report sexual arousal difficulties, the mechanisms driving these difficulties are unclear. Sexual response relies on a host of psychophysiological processes that have bidirectional relationships with inflammation. Additionally, chronic inflammation may impair genital blood flow, which in turn may impact sexual arousal. C-reactive protein (CRP) is an acute-phase marker of inflammation produced in response to cytokine signaling throughout the body, which makes it a useful marker of systemic inflammation. Aim: The present study examined interactions between inflammation and women's sexual arousal.Entities:
Keywords: C-reactive protein; inflammation; sexual arousal; sexual function; women
Year: 2021 PMID: 35669911 PMCID: PMC9165647 DOI: 10.1016/j.cpnec.2021.100086
Source DB: PubMed Journal: Compr Psychoneuroendocrinol ISSN: 2666-4976
Demographic characteristics of the study sample.
| Mean (M) | St. Deviation (SD) | |
|---|---|---|
| Continuous variables | ||
| Age in years | 23.33 | 5.09 |
| Body mass index (BMI) | 25.95 | 6.91 |
| Lifetime number of vaginal sex partners | 5.12 | 3.54 |
|
| ||
| European American/White | 41 | 45.1 |
| African American/Black | 17 | 18.7 |
| Asian/Pacific Islander | 12 | 13.2 |
| Latinx/Hispanic | 2 | 2.2 |
| Middle Eastern | 2 | 2.2 |
| Multiracial/Other | 8 | 8.8 |
| Heterosexual (0–12.5) | 32 | 35.2 |
| Mostly heterosexual (12.6–37.5) | 34 | 37.4 |
| Bisexual (37.6–62.5) | 14 | 15.4 |
| Mostly homosexual (62.6–87.5) | 4 | 4.4 |
| Homosexual (87.6–100) | 3 | 3.3 |
| Male | 78 | 85.7 |
| Female | 7 | 7.7 |
| Never/less than monthly | 2 | 2.2 |
| Less than weekly | 18 | 19.8 |
| 1-2 times per week | 34 | 37.4 |
| 3-4 times per week | 24 | 26.4 |
| Daily/near daily | 7 | 7.7 |
| More than daily | 2 | 2.2 |
Note: Participants reported their sexual orientation as a number between 0 and 100, where 0 was labeled “only heterosexual,” 25 labeled “mostly heterosexual,” 50 labeled “bisexual,” 75 labeled “mostly homosexual,” and 100 labeled “only homosexual.” For descriptive purposes, these numbers were converted to bins with value ranges displayed in the table above.
Correlations between all variables included in models.
| 1. | 2. | 3. | 4. | 5. | 6. | 7. | 8. | 9. | 10. | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1. Age | — | |||||||||
| 2. Body mass index (BMI) | — | |||||||||
| 3. Salivary cortisol | -.042 | .277 | — | |||||||
| 4. Time since waking | .191 | -.079 | -.194 | — | ||||||
| 5. C-reactive protein (CRP) quintile | -.130 | .027 | -.137 | — | ||||||
| 6. Typical partnered sexual frequency | .014 | .158 | .115 | -.100 | .024 | — | ||||
| 7. Time to maximum VPA | .027 | .121 | -.306 | .094 | -.068 | — | ||||
| 8. Percent change in VPA | .169 | .046 | .173 | -.027 | .007 | .028 | — | |||
| 9. Pre-film subjective arousal | -.169 | -.002 | -.053 | .023 | .032 | -.060 | .113 | -.163 | — | |
| 10. Post-film subjective arousal | .010 | .058 | -.043 | -.009 | .151 | .036 | .014 | — |
* correlation is significant at p < 0.05, ** correlation is significant at p < 0.01.
Mixed linear model predicting change in subjective sexual arousal while watching a sexual film from inflammation, sexual frequency, and relevant covariates.
| Predictor | Estimate | SE | |||
|---|---|---|---|---|---|
| Age | 2.270 | −0.031 | 0.020 | −1.507 | 0.135 |
| BMI | 1.095 | 0.027 | 0.026 | 1.047 | 0.298 |
| Salivary CRP | 1.688 | −0.149 | 0.114 | −1.299 | 0.197 |
| Sexual frequency | 0.903 | −0.159 | 0.167 | −0.950 | 0.344 |
| Time x CRP x frequency | 1.583 | 0.041 | 0.033 | 1.258 | 0.211 |
| The same mixed linear model including cortisol and time since waking. | |||||
| Predictor | Estimate | SE | |||
| Age | 0.752 | −0.030 | 0.035 | −0.867 | 0.391 |
| BMI | 0.042 | 0.007 | 0.035 | 0.205 | 0.838 |
| Salivary cortisol | 1.217 | −1.492 | 1.353 | −1.103 | 0.277 |
| Salivary CRP | 0.189 | 0.080 | 0.184 | 0.434 | 0.666 |
| Sexual frequency | 0.001 | −0.008 | 0.253 | −0.031 | 0.975 |
| Time x CRP x frequency | 0.212 | −0.025 | 0.054 | −0.460 | 0.648 |
* significant at p < 0.05, ** significant at p < 0.01.
Sequential regressions predicting time to maximum VPA while watching a sexual film from inflammation, sexual frequency, and relevant covariates.
| Step | adjusted | Predictor | ||||
|---|---|---|---|---|---|---|
| 1 | 0.305 | −0.033 | Age | −0.011 | −0.069 | 0.945 |
| BMI | 0.124 | 0.762 | 0.451 | |||
| 2 | 4.613 | 0.296 | Age | 0.117 | 0.762 | 0.451 |
| BMI | 0.308 | 1.735 | 0.091 | |||
| The same sequential regressions including cortisol and time since waking. | ||||||
| Step | adjusted | Predictor | ||||
| 1 | 0.985 | −0.002 | Age | −0.077 | −0.367 | 0.717 |
| BMI | 0.251 | 1.173 | 0.253 | |||
| Salivary cortisol | −0.368 | −1.795 | 0.086 | |||
| Time since waking | 0.057 | 0.284 | 0.779 | |||
| 2 | 1.762 | 0.145 | Age | −0.178 | −0.847 | 0.406 |
| BMI | 0.416 | 1.595 | 0.126 | |||
| Time since waking | 0.067 | 0.360 | 0.722 | |||
| Salivary CRP | −0.306 | −1.292 | 0.210 | |||
| Sexual frequency | 0.354 | 1.947 | 0.065 | |||
| CRP x frequency | — | — | — | |||
* significant at p < 0.05, ** significant at p < 0.01.
Fig. 1Time to maximum vaginal pulse amplitude (VPA) in minutes as predicted by C-reactive protein and sexual frequency. Note: In analyses, sexual frequency data consisted of six ordinal bins ranging from “never/less than monthly” to “more than daily.” For visualization purposes, sexual frequency is displayed as a binary between those reporting partnered activity at a frequency of weekly or less versus those reporting partnered activity more than once per week.
Sequential regressions predicting percent change in VPA while watching a sexual film from inflammation, sexual frequency, and relevant covariates.
| Step | adjusted | Predictor | ||||
|---|---|---|---|---|---|---|
| 1 | 2.456 | 0.065 | Age | 0.076 | 0.486 | 0.630 |
| BMI | 0.299 | 1.906 | 0.064 | |||
| 2 | 5.731 | 0.360 | Age | −0.221 | −1.494 | 0.144 |
| The same sequential regressions including cortisol and time since waking. | ||||||
| Step | adjusted | Predictor | ||||
| 1 | 0.972 | −0.004 | Age | 0.029 | 0.141 | 0.889 |
| BMI | 0.331 | 1.545 | 0.136 | |||
| Salivary cortisol | −0.007 | −0.032 | 0.975 | |||
| Time since waking | 0.192 | 0.957 | 0.349 | |||
| 2 | 0.884 | −0.026 | Age | −0.080 | −0.349 | 0.731 |
| BMI | 0.559 | 1.956 | 0.064 | |||
| Salivary cortisol | −0.064 | −0.301 | 0.766 | |||
| Time since waking | 0.172 | 0.841 | 0.410 | |||
| Salivary CRP | −0.316 | −1.217 | 0.237 | |||
| Sexual frequency | −0.048 | −0.243 | 0.811 | |||
| CRP x frequency | — | — | — | |||
* significant at p < 0.05, ** significant at p < 0.01.
Fig. 2Percent change in vaginal pulse amplitude (VPA) as predicted by C-reactive protein and frequency of partnered sexual activity.
Note: In analyses, sexual frequency data consisted of six ordinal bins ranging from “never/less than monthly” to “more than daily.” For visualization purposes, sexual frequency is displayed as a binary between those reporting partnered activity at a frequency of weekly or less versus those reporting partnered activity more than once per week.