Abstract
BACKGROUND: Little is known about the association between types of skin and subcutaneous diseases and UV protection literacy. OBJECTIVE: To assess the burden and treatment of skin diseases in Ninger County, Yunnan Province, and establish a transtheoretical model for optimizing public perceptions and behaviors regarding UV radiation. METHODS: Electronic medical records of outpatients from the dermatology department were collected from January 2022 to July 2024, and a self-administered questionnaire assessed the public knowledge about UV exposure risks and behaviors. Multivariable regression models were used to investigate the correlation between UV protection literacy and dermatological situations. Knowledge, Attitude, and Practice (KAP) model was established and re-examined by Structural Equation Modeling (SEM). RESULTS: Significant seasonal trends in skin disease incidence were observed. Each unit increase in UV protection knowledge score was associated with a 59.1% lower risk of pigmented skin disease and a 56.1% lower risk of skin tumors. A KAP model was developed with coefficients of 0.264 (p < 0.001), 0.603 (p = 0.041), 0.605 (p < 0.001). The impact of redundant residuals on the evaluation of the model fit cannot be ignored in SEM. CONCLUSION: The negative association between UV protection literacy and certain skin disease occurence revealed the essentiality of UV protection dissemination.