Women self-perception of excess hair growth, as a predictor of clinical hirsutism: a population-based study

Kazemi, H, Ramezani Tehrani, F., Minooee, S., Khalili, D., and Azizi, F. (2015) Women self-perception of excess hair growth, as a predictor of clinical hirsutism: a population-based study. Journal of Endocrinological Investigation, 38. pp. 923-928.

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Purpose: 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.

Methods: 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.

Results: 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.

Conclusions: Patient’s self-identification of excess terminal hair based on the chin area has great sensitivity and reliability in predicting the clinical hirsutism.

Item ID: 77737
Item Type: Article (Research - C1)
ISSN: 1720-8386
Copyright Information: © Italian Society of Endocrinology (SIE) 2015
Date Deposited: 06 Dec 2023 02:36
FoR Codes: 32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320208 Endocrinology @ 50%
32 BIOMEDICAL AND CLINICAL SCIENCES > 3215 Reproductive medicine > 321502 Obstetrics and gynaecology @ 50%
SEO Codes: 20 HEALTH > 2001 Clinical health > 200199 Clinical health not elsewhere classified @ 100%
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