An epidemiological study of female pattern hair loss at a referral centre in South India

Ravikiran, Shilpashree P; Clarify, Syrti; Shashidhar, T. B.

doi:10.5958/2455-6769.2016.00008.9

Cited by 4 publications

(7 citation statements)

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“…In majority of the Indian studies,[ 2 3 4 5 6 7 17 18 19 ] the most common age of presentation was noted to be between 30 to 40 years with the mean age of onset around 30 years of age which was similar to our study. Our patients belonged to 2 nd and 3 rd decade.…”

Section: Discussionsupporting

confidence: 89%

“…Its prevalence increases with increasing age from around 12% in women in the age group of 20-29 years to over 50% in women above the age of 80 years. [ 2 ]…”

Section: Introductionmentioning

confidence: 99%

“…Apart from genetics, other factors like hypertension, diabetes mellitus, stress, smoking, obesity, minimal physical activity, hypothyroidism, testosterone and lower serum ferritin levels are considered as risk factors for FPHL. [ 2 ] It has been postulated that FPHL is linked to CVD by mechanisms such as hyperinsulinemia, chronic inflammation and peripheral sensitivity to androgens. Association has been seen in early onset FPHL with insulin resistance, hypertension and increased CVD in a large number of studies.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Cardiovascular Risk Factors in Women Having Female Pattern Hair Loss

Verma,

Mendiratta,

Garg

et al. 2024

Indian Journal of Dermatology

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Background: Many studies have associated male androgenetic alopecia with the risk of cardiovascular disorders but very few studies have addressed this association in women with FPHL. Materials and Methods: This was a cross-sectional hospital-based study in which a total of 50 women (18-45 years) were recruited. The objective was to measure carotid intima-media thickness (CIMT) by doppler ultrasound, Body mass index (BMI), waist circumference, lipid profile, fasting blood sugar (FBS), insulin, testosterone, Sex hormone binding globulin (SHBG), hs-CRP, ESR and fibrinogen, in pre-menopausal women having FPHL and to correlate these parameters with severity of FPHL. The prevalence of Metabolic syndrome (MetS) and Insulin resistance were evaluated. Results: Metabolic syndrome and insulin resistance were found in 12 (24%) and 17 (34%) cases respectively. Hypercholesterolemia, elevated LDL levels and hypertriglyceridemia, low HDL levels and hyperinsulinemia were found in 11 (22%), 31 (62%), 9 (18%), 17 (34%) and 7 (14%) cases respectively. 8 (16%) cases were diabetics. Elevated ESR, increased fibrinogen levels and elevated hs-CRP were found in 43 (86%), 10 (20%) and 21 (42%) cases respectively. CIMT was found to be within its normal range. Correlation of CIMT, anthropometric indices (BMI and WC), biochemical markers (serum cholesterol, triglycerides, FBS, and fibrinogen), and presence of metabolic syndrome with severity of FPHL in terms of Ludwig grade was found to be statistically significant. Conclusions: The determination of metabolic syndrome, insulin resistance and acute phase reactants such as hs-CRP and fibrinogen may be useful screening methods to detect increased cardiovascular risk in women with FPHL.

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Section: Discussionsupporting

confidence: 89%

“…Its prevalence increases with increasing age from around 12% in women in the age group of 20-29 years to over 50% in women above the age of 80 years. [ 2 ]…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of Cardiovascular Risk Factors in Women Having Female Pattern Hair Loss

Verma,

Mendiratta,

Garg

et al. 2024

Indian Journal of Dermatology

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“…In this study demonstrated the trend of increased incidence of FPHL with advancing age and Ludwig grade I was the most common type, similar to previous studies in other population. 3,15,[17][18][19][20][21][22] Ludwig grade ≥ II were more common in patients aged ≥50 years. This may be due to the fact that less cosmetically concern about hair loss in older adults and higher Ludwig grade with advancing age may be influenced by the duration of disease progression.…”

Section: Discussionmentioning

confidence: 99%

Clinical Characteristics of Female Patterned Hair Loss in Patients Attending Hair Clinic in Thailand

et al. 2022

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Objective: To study the clinical features and associated factors of female pattern hair loss (FPHL) in premenopausal and menopausal women patients. Materials and Methods: This is a retrospective chart review of FPHL patients visited hair clinic, Siriraj Hospital from June 2012 to May 2015. Demographic data, family history and history of hair loss were evaluated. Factors associated with FPHL were analysed. Results: There were 267 patients (180 premenopausal women and 87 menopausal women) in this study. The mean age of onset of patients was 35.5±12 years (premenopausal FPHL) and 60.5±7 years (menopausal FPHL). Positive family history of androgenetic alopecia (AGA) was 48.3%, mainly in first-degree relatives. The data showed an increased incidence of FPHL with advancing age. The most common presentation is Ludwig grade I. The study showed that patients also have dyslipidemia (16.9%), hypertension (16.5%), diabetes mellitus (10.9%), hypothyroidism (4.9%), anemia (3.7%), and hyperthyroidism (2.9%). In multivariate analysis, significant associations were found between low ferritin level < 70 µg/L and premenopausal FPHL (OR 5.51, 95% CI 2.26-15.14, P = 0.01). Conclusion: Maternal family history of AGA seems to have a greater influence on premenopausal FPHL. Low serum ferritin levels < 70 µg/L were significantly associated with FPHL in premenopausal women.

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“…FPHL accounts for 15.3% of diffuse hair loss among Indian women. [ 2 ] Multifarious etiologies have also been implicated in pathogenesis [ Figure 1 ]. [ 3 ]…”

Section: Introductionmentioning

confidence: 99%

A cross-sectional, observational study of the clinico-epidemiological profile of female pattern hair loss in Western India and its association with metabolic syndrome

Makhecha

2023

Indian Dermatol Online J

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Background: The increasing prevalence of female pattern hair loss (FPHL) is an alarming concern. There are many studies on FPHL in the world literature but there is a dearth of Indian data on the same. Aims and objectives: The present study aims to ascertain the demographic variables and clinical features of FPHL in Western India and its association with metabolic syndrome (MetS) to add over and above the existing data. Materials and Methods: Ninety females who were diagnosed with FPHL were included after approval of the institutional ethics committee. Demographic details, detailed history, and clinical features were noted, following which a few blood investigations for diagnosis of MetS were advised and evaluated. Results: Our study population’s age ranged from 17 to 65 years, with the mean age of 34.7 ± 1.3 years. According to the Basic and Specific (BASP) classification, The basic pattern prevalence as found in our study was 46.7% for M type, 35.6% for L type, and 17.7% for C type. The FPHL severity score revealed that 82 (91.1%) had advanced disease at presentation. Prevalence of MetS was found to be 34.4% and had a significant correlation with age of onset in years (p=0.041) and severity score (p=0.013) implying that it leads to an early onset and greater severity of FPHL. Conclusion: FPHL is increasingly common among Indian women, who frequently present with a bitemporal recession of the hairline. Calculation of the female pattern hair loss severity index (FPHL-SI) can help in the categorization of patients and assessment of prognosis. MetS should be actively looked for in patients of FPHL and managed accordingly.

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An epidemiological study of female pattern hair loss at a referral centre in South India

Cited by 4 publications

References 0 publications

Assessment of Cardiovascular Risk Factors in Women Having Female Pattern Hair Loss

Assessment of Cardiovascular Risk Factors in Women Having Female Pattern Hair Loss

Clinical Characteristics of Female Patterned Hair Loss in Patients Attending Hair Clinic in Thailand

A cross-sectional, observational study of the clinico-epidemiological profile of female pattern hair loss in Western India and its association with metabolic syndrome

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