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Women self-perception of excess hair growth, as a predictor of clinical hirsutism: a population-based study
- Source :
- Journal of endocrinological investigation. 38(8)
- Publication Year :
- 2014
-
Abstract
- Hirsutism is the most common indicator of hyperandrogenism. Both, the sensitivity of the patients to the serum androgen levels and the responsiveness of women to the perceived excess hair growth vary among different populations. This report elaborates the relationship between the woman's discerned abnormal hair growths with the clinical diagnosis of hirsutism.The survey was conducted among 1160 women aged 18-45 and randomly selected from Tehran Lipid and Glucose Study for further detailed assessment of Hirsutism; using the m-FG scoring method. Data gathering was performed by interviews and physical examinations. The receiver operating characteristic curve was drawn and the new cutoff value, sensitivity, specificity and concordance percentage were calculated.The results demonstrated that among 12 androgen-dependent body areas, the chin skin had the highest area under curve of 0.81 (CI; 0.78-0.84). According to the patient's evaluation, a threshold point of 4 had the optimum concordance percentage of 0.77 with the modified Ferriman-Gallwey scoring system.Patient's self-identification of excess terminal hair based on the chin area has great sensitivity and reliability in predicting the clinical hirsutism.
- Subjects :
- Adult
Excess hair
medicine.medical_specialty
Hirsutism
Adolescent
medicine.drug_class
Endocrinology, Diabetes and Metabolism
Physiology
Iran
Young Adult
Endocrinology
Predictive Value of Tests
Surveys and Questionnaires
otorhinolaryngologic diseases
medicine
Humans
Prospective Studies
Young adult
Prospective cohort study
hirsutism
Gynecology
integumentary system
business.industry
Hyperandrogenism
Middle Aged
medicine.disease
Self perception
Androgen
Self Concept
Predictive value of tests
Population Surveillance
Female
business
Subjects
Details
- ISSN :
- 17208386
- Volume :
- 38
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- Journal of endocrinological investigation
- Accession number :
- edsair.doi.dedup.....62006de2e4d461f127197e2179533be1