Free middle aged woman having sex

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Try out PMC Labs and tell us what you think. Learn More. This analysis estimates the prevalence and predictors of sexual activity and function in a diverse group of women aged years. Women completed self-report questionnaires on sexual activity, comorbidities, and general quality of life. Logistic and linear regression and proportional odds models were used when appropriate to identify correlates of sexual activity, frequency, satisfaction, and dysfunction. Demographic factors as well as some issues associated with aging can adversely affect sexual frequency, satisfaction, and function.

Obstet Gynecol ; There is limited information on the prevalence, incidence, and antecedents of female sexual dysfunction. Relatively little research has been focused on factors that are associated with sexual frequency, satisfaction, and dysfunction. Studies suggest that the same disease processes and risk factors that are associated with male erectile dysfunction, such as aging, hypertension, smoking, and pelvic surgery, are also associated with female sexual dysfunction.

To determine the prevalence of and risk factors for the frequency of sexual activity, satisfaction, and sexual dysfunction among middle-aged and older women, we studied 2, community-dwelling women aged years who participated in the population-based Reproductive Risk Factors for Incontinence Study at Kaiser RRISKoriginally a study of risk factors for urinary incontinence. studies have found that members of Kaiser underrepresent those groups of people in the lowest and highest socioeconomic classes.

The de and sampling methods have been ly described. Informed consent was obtained by phone and written form at the time of the interview. Data for the study were collected by self-reported questionnaires and in-person interviews. Data on demographics, medical and surgical history, current medications, menopause, hormone therapy use, anal incontinence, pelvic organ prolapse, and functional status using the Medical Outcomes Study SF were obtained using a structured questionnaire and a trained interviewer.

Height and weight were measured by the interviewer. Three general areas of sexual functioning were defined for this study: sexual frequency, sexual satisfaction, and sexual problems. The sexual functioning questionnaire contained questions on frequency of sexual activity in the past 12 months, sexual satisfaction, and sexual dysfunction Appendix 2.

Detailed information on sexual problems and function were collected by using the sexual problem assessment tool and scale from the Medical Outcomes Study. The Medical Outcomes Study tool identifies sexual problems in patients with a variety of chronic diseases. It also concentrates on current sexual problems, rather than on changes in usual sexual functioning. The questionnaire contains 3 items that are appropriate for men and women, one for women only, and one for men only which was not used in our study.

This questionnaire has been validated in the usual fashion with an initial pilot study to identify item variability and frequency, to analyze different sexual functioning measures using multitrait scaling techniques, and to define the most effective 5 questions.

These questions were chosen by eliminating the items with low variability and low item-total correlations. The final measure, when analyzed, was found to be reliable and valid. Based on this scale, sexual dysfunction was assessed over the past 4 weeks in 4 domains: lack of sexual interest, inability to relax and enjoy sexual activity, difficulty in becoming aroused, and difficulty in having an orgasm. Body mass index BMI was calculated from the height and weight measurements obtained by the interviewer. Age at interview was calculated by using the birth date and the RRISK visit date and classified into year groups.

Proportional odds models and data for the entire sample were used to assess risk-factor effects on frequency of sexual activity as an ordinal categorical outcome. In these models, an odds ratio greater than 1. The proportional odds assumption was validated by informally comparing the magnitude of odds ratios for the association of each predictor with different dichotomizations of the ordinal frequency outcome, that is, with any activity, at least monthly activity, and at least weekly activity.

The remaining analyses were conducted using data for the subset of women reporting any sexual activity. Linear regression was used to assess independent associations with the sexual dysfunction score, whereas different sexual problems and satisfaction were assessed as binary outcomes using logistic models. In exploratory analysis, possible confounding, mediation, and interactions were investigated.

Interactions between relationship status and African-American race found in several models were accommodated by estimating the association between African-American race and each outcome stratified by whether or not the participant reported a ificant relationship. All analyses were carried out with SAS 8. The mean age of the women was Slightly less than half the women self-identified as white Among sexually active women, nearly two thirds were some- what or very satisfied with their sexual activity.

Gray bars,very much of a problem; hatched bars, some what of a problem; white bars, little bit of a problem; black bars, not a problem. Table 3 reports sexual activity across selected demographic and other characteristics. This distribution shows that younger women report more sexual activity. Women with higher levels of education and income reported higher frequencies of sexual activity.

Free middle aged woman having sex

The monthly and greater than weekly sexual frequency groups were more likely to be women who had never smoked, currently drank alcohol, had lower BMI levels, and better health status. In our multivariate logistic model for satisfaction, less satisfaction was correlated with an increasing BMI. Higher more favorable scores on the SF scale for mental health were associated with greater sexual satisfaction Table 5. Table 6 shows the correlates for the overall sexual dysfunction score.

Because we found an interaction between African-American race and relationship, the African American group was split into ificant relationship and no relationship. African-American women in ificant relationships and women with better mental health scores reported lower levels of sexual dysfunction a lower score on the continuous sexual dysfunction scale compared with other women.

Correlates for increased sexual dysfunction were being in a higher educational level, poor health, and being in a ificant relationship. In this analysis of RRISK, a cohort of 2, women, we examined the correlates for sexual activity and frequency, satisfaction, and sexual dysfunction. In each of thesedemographic characteristics were strongly predictive. Younger age, being in a relationship, higher education, not smoking, a history of moderate alcohol use, and lower BMI were associated with reporting sexual activity. Of sexually active women, those with a higher income, in a ificant relationship, and with moderate alcohol intake were more likely to report more frequent sexual activity.

Satisfaction with sexual activity was correlated with being African American, having a lower BMI, and a higher score on our mental health scale. Women reporting sexual dysfunction were more likely to have a higher education level, have poor health, and be in a ificant relationship. There is little epidemiologic data on prevalence and predictors of female sexual dysfunction, particularly for older women. The 4 of sexual dysfunction that we evaluated were sexual desire disorder, sexual arousal disorder, orgasmic disorder, and sexual pain disorder.

Free middle aged woman having sex

The diagnostic classification system adapted for this study reflects internationally recognized classification and definitions of sexual dysfunction. For prevalence of sexual dysfunction, our data are consistent with data from studies. Initial studies have reported a decline in sexual activity in women as they age, associated with a decline in subjective and objective health ratings. This analysis also found that dysfunction in women was correlated with nonwhite race, lower education level, and psychosocial stress.

An analysis of sexual functioning in a young group of postmenopausal women mean age 56 years found that the most reported reason for sexual inactivity was lack of a healthy partner. A higher BMI, increased physical activity, increased life satisfaction, and unmarried status were related to higher global sexual function. We also found that with increased age comes a decrease in sexual activity. Aging and menopausal status have been negatively associated with sexual activity. Although younger women were more likely to have more sexual activity, we found no age difference when examining sexual satisfaction or dysfunction.

We showed that higher socioeconomic status higher education and higher income was correlated with increased sexual activity, but increased education status was also correlated with increasing sexual dysfunction. These do not necessarily agree with epidemiologic findings about sexual dysfunction in women. Relationship status was a ificant correlate in many of our models. Women in a relationship were much more likely to have greater than monthly sexual activity. We also found that being in a relationship was correlated with more sexual dysfunction when compared with women not in a relationship.

This finding is surprising, yet agrees with a recent report on a large group of postmenopausal women with heart disease. In our analysis for satisfaction, we found that African-American race was correlated with increased sexual satisfaction when compared with white women. In our analysis for sexual dysfunction, African-American participants in a relationship were inversely correlated with any sexual dysfunction.

This result is different from findings that analyzed women of all ages.

Free middle aged woman having sex

This finding could be due to the age range of our cohort compared with those ly analyzed. Another possible explanation is that, because we included a larger of African-American women than were included in other studies, we were able to find an inverse association that had not been ly reported. We found that a higher education level was correlated with an increase in overall dysfunction.

One reason for this correlation between dysfunction and education level could be the different stressors in the lives of women with different education levels. Another explanation could be the differing priorities and expectations for sexual activity in women with different levels of education. Our study presents novel for satisfaction with sex, an outcome that has not been studied in detail.

As noted above, we found that African-American race is correlated with increased satisfaction. Better mental health is also correlated with increased satisfaction, whereas increased BMI was correlated with less satisfaction with sex. These correlates for satisfaction reveal new data that has not been shown in other epidemiologic studies. At least one study has shown that post-menopausal women abstinent from alcohol for a longer period of time show greater satisfaction with the sexual aspects of their lives.

There was no difference in function or frequency between these groups either. We did find a correlation between current and former alcohol use and increase in frequency of sexual activity at least monthly versus never-users. This could be explained by the possible decrease in inhibitions that is theoretically caused by drinking, or drinking may be a marker for other factors that are associated with increasing sexual activity.

Our may not be generalizable to a variably insured or uninsured population because of the nature of our study population. Our cohort included relatively few women who were not in ificant relationship, and with stratification Free middle aged woman having sex found that our statistical models for this group were underpowered, leading us to believe that, with a larger group of women not in a relationship, we might have discovered more correlates for sexual frequency and dysfunction in this group. In summary, we found that middle-aged and older women engage in frequent and satisfying sexual activity and also report sexual dysfunction.

These next questions are about the way health problems might interfere with your sex life. During the past 12 months, have you been sexually active? Sexual activity is any activity that is sexually arousing to you, including masturbation. During the past 12 months, on average, how frequently did you have sexual activity? During the past 12 months, on average, how would you rate your overall level of sexual satisfaction? National Center for Biotechnology InformationU. Obstet Gynecol. Author manuscript; available in PMC Aug Ilana B. BrownMD, David H. Author information Copyright and information Disclaimer.

Corresponding author: Ilana B. Campbell Avenue, P. BoxTucson, AZ ; e-mail: ude. Copyright notice. See other articles in PMC that cite the published article. Open in a separate window. Satisfaction is defined as somewhat satisfied or very satisfied. No Relationship None 2. None 0. During the past 12 months, have you had a sexual partner? How much of a problem was each of the following during the past 12 months?

Not a problem Little bit of a problem Somewhat of a problem Very much a problem Not applicable Lack of sexual interest Unable to relax and enjoy sexual activity Difficulty in becoming sexually aroused Difficulty in having an orgasm During the past 12 months, on average, how would you rate your overall level of sexual satisfaction?

N Engl J Med. Incidence and prevalence of the sexual dysfunctions: a critical review of the empirical literature. Arch Sex Behav. Prevalence of sexual dysfunction in women: of a survey study of women in an outpatient gynecological clinic. J Sex Marital Ther. Sarrel PM. Sexuality and menopause. Sex and menopause: defining the issues.

Free middle aged woman having sex

The social organization of sexuality: sexual practices in the United States. Report of the international consensus development conference on female sexual dysfunction: definitions and classifications.

Free middle aged woman having sex

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I Asked a Bunch of Women Over 50 About Their Sex Lives