1. The comparison of metabolic syndrome parameters, trichoscopic and trichoscan characteristics in androgenetic alopecia (AGA) and early-onset androgenetic alopecia (early-onset AGA).
- Author
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Legiawati L, Sitohang IBS, Yusharyahya SN, Sirait SP, Novianto E, Yunir E, Lauren BC, Hakiki NP, and Rahmadika FD
- Subjects
- Humans, Cross-Sectional Studies, Adult, Male, Middle Aged, Dermoscopy, Young Adult, Blood Glucose analysis, Glycated Hemoglobin analysis, Glycated Hemoglobin metabolism, Female, Triglycerides blood, Risk Factors, Alopecia epidemiology, Alopecia diagnosis, Metabolic Syndrome epidemiology, Metabolic Syndrome diagnosis, Age of Onset, Hair
- Abstract
Androgenetic alopecia (AGA), the most common cause of hair loss, is influenced by various risk factors. Metabolic syndrome constitutes a collection of risk factors elevating the risk of cardiovascular disease. The presence of early-onset AGA could serve as an indicator of the emergence of metabolic syndrome, yet to date, no research has examined these parameters in AGA. This is a cross-sectional study comparing two groups; early onset versus normal onset AGA. Forty participants were enlisted and evenly distributed into the two groups. Subsequently, participants underwent examinations utilizing trichoscopy, trichoscan, and laboratory assessments. Apart from waist circumference, BMI, and age of alopecia onset, there were no notable differences concerning sociodemographic and clinical features. In terms of hair growth parameters, the telogen hair rate stands out as the sole indicator exhibiting a significant difference between both groups, while trichoscopy data also revealed varying hair characteristics. Lastly, metabolic parameters namely triglyceride, fasting blood glucose, HbA1c and HDL differ significantly, with the normal onset group demonstrating a higher prevalence of metabolic abnormality. This suggests a potential association between AGA and metabolic syndrome. However, the exact nature of this relationship remains uncertain, necessitating further research with larger samples, specific age groups and diverse study designs., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
- Published
- 2024
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