Factors associated with early-onset androgenetic alopecia: A scoping review

Factors associated with early-onset androgenetic alopecia: A scoping review

March 7, 2024 | Li-Ping Liu, Mary Adumo Wariboko, Xiao Hu, Zi-Han Wang, Qian Wu, Yu-Mei Li
This scoping review investigates the factors associated with early-onset androgenetic alopecia (AGA), a type of hair loss that occurs before the age of 40. The study analyzed 65 eligible articles, including case-control, cohort, cross-sectional, and meta-analysis studies. Key findings include that early-onset AGA is associated with risk factors such as family history, cigarette smoking, unhealthy dietary habits, and high body mass index. It is also linked to hormonal profiles, 5α-reductase enzyme activity, androgen receptor genes, and certain susceptibility loci. Comorbidities such as metabolic syndrome, cardiovascular disease, insulin resistance, dyslipidemia, and Parkinson's disease are also associated with early-onset AGA. Additionally, early-onset AGA may have adverse effects on psychological well-being, with young men experiencing anxiety and low self-esteem compared to those without hair loss. The study also found that certain medications, such as rosuvastatin, metformin, and lisinopril, may be less effective in treating dyslipidemia in men with early-onset AGA. The review highlights the complex nature of early-onset AGA, which involves multiple genetic, hormonal, behavioral, and lifestyle factors. It emphasizes the importance of early detection, risk assessment, and comprehensive management of early-onset AGA, as well as the need to consider its potential associations with other health conditions. The findings suggest that early-onset AGA may serve as an indicator of underlying systemic health issues and that treatment approaches may need to be tailored to this specific population. The study also notes limitations, including the potential for publication bias and the lack of standardized criteria for defining early-onset AGA. Overall, the review provides a comprehensive understanding of early-onset AGA, emphasizing the need for further research to better understand its causes and implications.This scoping review investigates the factors associated with early-onset androgenetic alopecia (AGA), a type of hair loss that occurs before the age of 40. The study analyzed 65 eligible articles, including case-control, cohort, cross-sectional, and meta-analysis studies. Key findings include that early-onset AGA is associated with risk factors such as family history, cigarette smoking, unhealthy dietary habits, and high body mass index. It is also linked to hormonal profiles, 5α-reductase enzyme activity, androgen receptor genes, and certain susceptibility loci. Comorbidities such as metabolic syndrome, cardiovascular disease, insulin resistance, dyslipidemia, and Parkinson's disease are also associated with early-onset AGA. Additionally, early-onset AGA may have adverse effects on psychological well-being, with young men experiencing anxiety and low self-esteem compared to those without hair loss. The study also found that certain medications, such as rosuvastatin, metformin, and lisinopril, may be less effective in treating dyslipidemia in men with early-onset AGA. The review highlights the complex nature of early-onset AGA, which involves multiple genetic, hormonal, behavioral, and lifestyle factors. It emphasizes the importance of early detection, risk assessment, and comprehensive management of early-onset AGA, as well as the need to consider its potential associations with other health conditions. The findings suggest that early-onset AGA may serve as an indicator of underlying systemic health issues and that treatment approaches may need to be tailored to this specific population. The study also notes limitations, including the potential for publication bias and the lack of standardized criteria for defining early-onset AGA. Overall, the review provides a comprehensive understanding of early-onset AGA, emphasizing the need for further research to better understand its causes and implications.
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