Background: While the contribution of environmental factors including smoking, overweight and stress has been validated, data mining for the association between socioeconomic status (SES) and psoriasis prevalence has yielded contradicting observations.
Objective: To evaluate the association between psoriasis prevalence and SES.
Methods: This was a nationwide population-based cross-sectional retrospective study that included all patients insured by the "Clalit" Health Services (N=4,604,994). Univariable and multivariable logistic regression analyses were conducted to explore the association between psoriasis and SES while controlling for potential sociodemographic and clinical confounders.
Results: The study population included 129,855 patients with psoriasis and 4,475,139 individuals without psoriasis. Higher SES was associated with an increased prevalence of psoriasis; in a fully adjusted model, Clalit members within the highest SES were 1.43-fold more likely to have psoriasis (95% CI, 1.39-1.48; P< 0.001), and those at medium SES were 1.2-fold more likely to have psoriasis, compared to those at the lowest SES group (95% CI, 1.18-1.26; P< 0.001; P for linear trend <0.001).
Conclusions: Positive correlation was found between SES and psoriasis prevalence. Further investigation is warranted to elucidate the factors accounting for this observation.
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