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This study examined self-attitude in 153 female patients with diffuse alopecia, focusing on metabolic (n=45) and mixed (n=108) forms. Patients with metabolic alopecia showed higher self-attitude levels, indicating better psychological adaptation. In contrast, those with mixed alopecia exhibited lower self-respect and increased internal conflict, correlating with anxiety and adjustment issues. These differences were statistically significant. The study concludes that self-attitude is a crucial indicator of psychological adaptation in alopecia patients, and assessing it can enhance personalized medical and psychological support.

This study examined the quality of life in 153 women with diffuse alopecia, categorized into metabolic (45 individuals) and mixed alopecia (108 individuals) groups. It found that women with mixed alopecia had significantly lower quality of life scores, particularly in psychological well-being, interpersonal interaction, socio-emotional support, and personal fulfillment, compared to those with metabolic alopecia. The study highlighted a strong relationship between mental maladaptation and quality of life, with negative correlations between quality of life and the severity of depression, anxiety, and somatoform symptoms, and positive correlations with psychosocial adaptation. These findings suggest that the quality of life in women with diffuse alopecia is influenced by the disease's genesis and mental maladaptation, emphasizing the need for a comprehensive biopsychosocial treatment approach.

The study investigated cognitive functioning in 153 women with diffuse alopecia, categorizing them into six subgroups based on the type of alopecia and presence of maladaptation. It found significant cognitive impairments, such as rapid fatigue, decreased performance, and impaired concentration, particularly in patients with mixed alopecia and adaptation disorders. The study highlights the complexity and nonlinearity of cognitive impairments in alopecia, suggesting a need for further research to explore connections with clinical and psychosocial factors and to develop personalized rehabilitation strategies.