Seasonal Variation of Psoriasis and Its Impact in the Therapeutic Management: A Retrospective Study on Chinese Patients

Clin Cosmet Investig Dermatol. 2021 May 10:14:459-465. doi: 10.2147/CCID.S312556. eCollection 2021.

Abstract

Background: The seasonal patterns of psoriasis have been observed in previous studies. However, no published data indicated the risk factors associated with the seasonal variation.

Purpose: This study aimed to investigate potentially related factors associated with seasonal pattern of psoriasis and provide possible implications for alleviating psoriasis in clinical practice.

Patients and methods: The retrospective study was conducted in Chinese patients with psoriasis. Demographic and clinical information were collected. Multivariable logistic regression analyses (calculating adjusted odds ratios [AORs]) were used to analyze data.

Results: We continually enrolled 2270 patients (1496 males and 774 females) with psoriasis based on inclusion criteria. Disease duration (AOR=1.06, 95% CI: 1.05-1.07), hyperlipidemia (AOR=1.77, 95% CI: 1.06-2.98) and smoking (AOR=1.40, 95% CI: 1.17-1.68) were significantly associated with severe psoriasis in autumn/winter. Age (AOR=0.98, 95% CI:0.97-0.99) and occupations with more sunlight exposure (AOR=0.78, 95% CI: 0.61-0.99) were negatively associated with the seasonal aggravation. Subgroup analysis showed that occupations with more sunlight exposure (AOR=0.64, 95% CI: 0.43-0.94) were protective factors only in late-onset psoriasis but not early-onset, while smoking (AOR=1.39, 95% CI: 1.11-1.74) was risk factor in the early-onset psoriasis.

Conclusion: Psoriatic patients who had occupation with more sunlight exposure were less likely to report aggravation of psoriasis in autumn/winter. On the contrary, smoking and hyperlipidemia were positively associated with the seasonal aggravation. Additional prospective study is needed to identify the causality.

Keywords: occupational exposure; psoriasis; seasonal variation; smoking; ultraviolet; weather.

Grants and funding

This work was supported by the key project of the National Science Foundation (81430075, 81830096), National Natural Science Foundation of China (81573049, 81974479, 81773329), Key R & D Program of Hunan Province (2018SK2082), National key R & D program (2018YFC0117004).