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Showing 2 results for Androgenic Alopecia

Fariba Jafari , Mohammad-Ali Nilforooshzade , Samane Porajam , Motahar Heidari-Beni ,
Volume 72, Issue 6 (9-2014)
Abstract

Background: Insulin resistant is important risk factors of diabetes and leads to development of chronic diseases such as diabetes and cardiovascular disease. Recent studies showed association between androgenic alopecia and insulin resistant. However, findings are controversial. Alopecia in women is a common heritable hair loss in central part of head. Aim of this study was investigation of androgenic alopecia distribution in type II diabetes and healthy women and hypothesis testing of relationship between diabetes and androgenic alopecia. Methods: This is a case-control study. Case and control groups were selected from type II diabetes and healthy women respectively that were refered to clinics of Alzahra, Noor and Amin Hospitals in Isfahan City, Iran in 2011. Participants were selected based on random sampling. Sample size was estimated 141 subjects in each group. Participants were visited by doctor and severity of androgenic alopecia was determined based on Ludwish criteria. Data were analyzed with SPSS software and 2 test. P<0.05 was considered as significant. Results: Mean age and body mass index were 58.96±12.8 year and 25.6±4.15 kg/m2 respectively in whole population. Findings not show any significant association between type II diabetes and androgenic alopecia (P<0.05). Comparison of distribution of alopecia severity according to Ludwish criteria separately showed similar result. In addition to, there was not any significant relationship between diabetes and alopecia after adjusting with body mass index as confounding factor (P<0.05). Conclusion: In the present study, there was not any significant relationship between type II diabetes and androgenic alopecia among diabetes and healthy women. However, more researches need to investigate this relationship in both gender and assess insulin resistant indices as homeostasis model assessment-estimated insulin resistance and androgenic alopecia.
Mohammad Gholami , Alireza Mahmoudabadi, Maryam Moradi , Hossein Nezami, Hamideh Mohammadzadeh ,
Volume 82, Issue 7 (10-2024)
Abstract

Background: Androgenetic alopecia is the most common cause of hair loss, and its prevalence increases with age. Different studies have reported different results regarding the association of cardiovascular diseases with androgenetic alopecia. The present study aimed to The present study aimed to Investigating the relationship between androgenetic alopecia and the thickness of the intima media of the carotid artery in the referrals to the specialized skin and hair clinic of Allameh Bohlool Gonabadi Hospital.
Methods: This case-control study was conducted from October 2021 to June 2022 on 100 patients referred to the Skin and Hair Clinic of Allameh Bahloul Hospital in two groups of 50 cases and controls, aged less than 40 years. The subjects were matched in terms of age and gender. Patients with alopecia were classified into three categories: mild, moderate, and severe based on the diagnosis of the treating physician. The thickness of the intima-media layer of the carotid artery was measured using ultrasound.
Results: There were 37 males and 13 females in both the case and control groups. The mean age in the case group was 29.50 and 30.28 years, respectively. In addition, the duration of alopecia in the case group was 6.9 years. Although the results indicated that the carotid artery intima-media thickness was higher in patients with androgenetic alopecia, no statistically significant relationship was found between androgenetic alopecia and carotid artery intima-media thickness (P=0.66). There was also a statistical relationship between the carotid artery intima-media thickness and the duration of alopecia (P=0.03).
Conclusion: Considering the relationship between the thickness of the intima media of the carotid artery and the duration of alopecia, it can be said that there is a possible relationship between alopecia and atherosclerosis, but to prove it, studies with a larger sample size are needed.


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