ArticleClinical, cosmetic and investigational dermatology2023
Differences in Demographic and Clinical Characteristics Among Subtypes of Female Pattern Hair Loss.
Article in Clinical, cosmetic and investigational dermatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence of metabolic syndrome in patients with androgenetic alopecia: an analysis of current evidence.Frontiers in endocrinology · 2026Pooled it
- Androgenetic alopecia in polycystic ovary syndrome: a cutaneous marker of systemic metabo-inflammatory and endocrine dysfunction.Endocrine connections · 2026Review
- Age-related downregulation of dihydrotestosterone-inactivating enzymes in human scalp sebaceous glands.Inflammation and regeneration · 2026Article
- Research Trends and Hotspots in Female Pattern Hair Loss: A Bibliometric Study.Journal of cosmetic dermatology · 2025Article
- Prevalence and Associated Factors of Traction Alopecia in Women in North Sudan: A Community-Based, Cross-Sectional Study.Medicina (Kaunas, Lithuania) · 2025Article
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Authors and funding
5 authors.
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Abstract
Background: Female pattern hair loss (FPHL) is the most common hair loss disorder in women that can be classified into three patterns, including Ludwig, Olsen, and Hamilton-Norwood subtypes. Information regarding the comparison of demographics, clinical characteristics, and associated comorbidities among subtypes of FPHL is scarce and contradictory. Objective: To evaluate and compare the epidemiology, clinical manifestations, and comorbid conditions of FPHL subtypes and determine their associated factors. Methods: This retrospective study included patients who were diagnosed with FPHL between January 2000 and November 2021. Participants were classified into three subtypes, namely Ludwig, Olsen, and Hamilton-Norwood, and were statistically compared. Variables significantly associated with each FPHL subtype were identified using multivariable multinomial logistic regression analysis. Results: Among the 519 patients with FPHL, the Ludwig subtype was the most prevalent (51.1%), followed by the Olsen (32.9%) and Hamilton-Norwood (16%) subtypes. The Hamilton-Norwood subtype revealed significantly higher frequencies of early disease onset (61.4%), menstrual irregularity (22.9%), polycystic ovary syndrome (PCOS, 18.1%), and seborrhea (30.1%) but lower frequencies of overweight (24.1%) and type 2 diabetes mellitus (DM, 2.4%). Multivariable multinomial regression analysis demonstrated that the Hamilton-Norwood subtype was a predictor for early disease onset and PCOS compared to Ludwig (early onset: odds ratio (OR) = 2.14, 95% confidence interval (CI) = 1.39-4.22, P = 0.02; PCOS: OR = 2.02, 95% CI = 1.55-4.84, P = 0.03), and Olsen (early onset: OR = 1.89, 95% CI = 1.03-3.92, P = 0.04; PCOS: OR = 2.24, 95% CI = 1.89-5.31, P = 0.01). In contrast, the Hamilton-Norwood pattern was at decreased risk for type 2 DM compared to Ludwig (OR = 0.51, 95% CI = 0.03-0.82, P = 0.02), and Olsen (OR = 0.68, 95% CI = 0.04-0.79, P = 0.03). Conclusion: The Ludwig pattern was found to be the most prevalent FPHL subtype among Thai patients. Moreover, the Hamilton-Norwood subtype was associated with early disease onset and PCOS, whereas the Ludwig and Olsen subtypes were associated with type 2 DM.
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