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Markus Wiegel

Rutgers, The State University of New Jersey

Publishes on Sexual function and dysfunction studies, Sexuality, Behavior, and Technology, Adolescent Sexual and Reproductive Health. 19 papers and 3.4k citations.

19Publications
3.4kTotal Citations

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The Female Sexual Function Index (FSFI): Cross-Validation and Development of Clinical Cutoff Scores
Markus Wiegel, Cindy M. Meston, Raymond C. Rosen|Journal of Sex & Marital Therapy|2005
Cited by 2.4k

The Female Sexual Function Index (FSFI) is a brief, multidimensional scale for assessing sexual function in women. The scale has received initial psychometric evaluation, including studies of reliability, convergent validity, and discriminant validity (Meston, 2003 Meston, C. M. 2003. Validation of the Female Sexual Function Index (FSFI) in women with female orgasmic disorder and in women with hypoactive sexual desire disorder. Journal of Sex & Marital Therapy, 29: 39–46. [Taylor & Francis Online], [Web of Science ®] , [Google Scholar]; Rosen et al., 2000 Rosen, R. C., Brown, C., Heiman, J., Leiblum, S., Meston, C. M., Shabsigh, R., Ferguson, D. and D'Agostino, R. 2000. The Female Sexual Function Index (FSFI): A multidimensional self-report instrument for the assessment of female sexual function. Journal of Sex & Marital Therapy, 26: 191–208. [Taylor & Francis Online], [Web of Science ®] , [Google Scholar]). The present study was designed to cross-validate the FSFI in several samples of women with mixed sexual dysfunctions (N = 568) and to develop diagnostic cut-off scores for potential classification of women's sexual dysfunction. Some of these samples were drawn from our previous validation studies (N = 414), and some were added for purposes of the present study (N = 154). The combined data set consisted of multiple samples of women with sexual dysfunction diagnoses (N = 307), including female sexual arousal disorder (FSAD), hypoactive sexual desire disorder (HSDD), female sexual orgasm disorder (FSOD), dyspareunia/vaginismus (pain), and multiple sexual dysfunctions, in addition to a large sample of nondysfunctional controls (n = 261). We conducted analyses on the individual and combined samples, including replicating the original factor structure using principal components analysis with varimax rotation. We assessed Cronbach's alpha (internal reliability) and interdomain correlations and tested discriminant validity by means of a MANOVA (multivariate analysis of variance; dysfunction diagnosis x FSFI domain), with Bonferroni-corrected post hoc comparisons. We developed diagnostic cut off scores by means of standard receiver operating characteristics–curves and the CART (Classification and Regression Trees) procedure. Principal components analysis replicated the original five-factor structure, including desire/arousal, lubrication, orgasm, pain, and satisfaction. We found the internal reliability for the total FSFI and six domain scores to be good to excellent, with Cronbach alpha's > 0.9 for the combined sample and above 0.8 for the sexually dysfunctional and nondysfunctional samples, independently. Discriminant validity testing confirmed the ability of both total and domain scores to differentiate between functional and nondysfunctional women. On the basis of sensitivity and specificity analyses and the CART procedure, we found an FSFI total score of 26.55 to be the optimal cut score for differentiating women with and without sexual dysfunction. On the basis of this cut-off, we found 70.7% of women with sexual dysfunction and 88.1% of the sexually functional women in the cross-validation sample to be correctly classified. Addition of the lubrication score in the model resulted in slightly improved specificity (from .707 to .772) at a slight cost of sensitivity (from .881 to .854) for identifying women without sexual dysfunction. We discuss the results in terms of potential strengths and weaknesses of the FSFI, as well in terms of further clinical and research implications.

Sexual Dysfunction in Women With Type 1 Diabetes
Paul Enzlin, Raymond C. Rosen, Markus Wiegel et al.|Diabetes Care|2009
Cited by 215Open Access

OBJECTIVE: This study aimed to investigate the prevalence and risk factors associated with sexual dysfunction in a well-characterized cohort of women with type 1 diabetes. RESEARCH DESIGN AND METHODS: The study was conducted in women enrolled in the long-term Epidemiology of Diabetes Interventions and Complications (EDIC) study, a North American study of men and women with type 1 diabetes. At year 10 of the EDIC study, 652 female participants were invited to complete a validated self-report measure of sexual function, standardized history and physical examinations, laboratory testing, and mood assessment. RESULTS: Of the sexually active women with type 1 diabetes in the EDIC study, 35% met criteria for female sexual dysfunction (FSD). Women with FSD reported loss of libido (57%); problems with orgasm (51%), lubrication (47%), and arousal (38%); and pain (21%). Univariate analyses revealed a positive association between FSD and age (P = 0.0041), marital status (P = 0.0016), menopausal status (P = 0.0019), microvasculopathy (P = 0.0092), and depression (P = 0.0022). However, in a multivariate analysis, only depression (P = 0.004) and marital status (P = 0.003) were significant predictors of FSD. CONCLUSIONS: FSD is common in women with type 1 diabetes and affects all aspects of sexual function and satisfaction. Depression is the major predictor of sexual dysfunction in women with type 1 diabetes. These findings suggest that women with type 1 diabetes should be routinely queried about the presence of sexual dysfunction and possible co-association with depression.

Sexual Desire and the Female Sexual Function Index (FSFI): A Sexual Desire Cutpoint for Clinical Interpretation of the FSFI in Women with and without Hypoactive Sexual Desire Disorder
Eric Gerstenberger, Raymond C. Rosen, Jessica V. Brewer et al.|The Journal of Sexual Medicine|2010
Cited by 154

INTRODUCTION: A validated cutpoint for the total Female Sexual Function Index scale score exists to classify women with and without sexual dysfunction. However, there is no sexual desire (SD) domain-specific cutpoint for assessing the presence of diminished desire in women with or without a sexual desire problem. AIMS: This article defines and validates a specific cutpoint on the SD domain for differentiating women with and without hypoactive sexual desire disorder (HSDD). METHODS: Eight datasets (618 women) were included in the development dataset. Four independent datasets (892 women) were used in the validation portion of the study. MAIN OUTCOME MEASURES: Diagnosis of HSDD was clinician-derived. Receiver-operator characteristic (ROC) curves were used to develop the cutpoint, which was confirmed in the validation dataset. RESULTS: The use of a diagnostic cutpoint for classifying women with SD scores of 5 or less on the SD domain as having HSDD and those with SD scores of 6 or more as not having HSDD maximized diagnostic sensitivity and specificity. In the development sample, the sensitivity and specificity for predicting HSDD (with or without other conditions) were 75% and 84%, respectively, and the corresponding sensitivity and specificity in the validation sample were 92% and 89%, respectively. CONCLUSIONS: These analyses support the diagnostic accuracy of the SD domain for use in future observational studies and clinical trials of HSDD.