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Original Research

Epidemiology of Vitiligo – A Dual Population-Based Approach

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 373-382 | Published online: 26 May 2021

Figures & data

Table 1 Cohort of People with (n = 933) and without (n = 120,850) Vitiligo Examined in the Companies by Dermatologists

Figure 1 Point-prevalence of vitiligo in the working cohort (N = 121,783) and one-year prevalence in the claims data (N = 1,619,678), stratified by age and gender.

Figure 1 Point-prevalence of vitiligo in the working cohort (N = 121,783) and one-year prevalence in the claims data (N = 1,619,678), stratified by age and gender.

Table 2 Cohort of People with (n = 2689) and without (n = 1,616,989) Vitiligo in the Claims Data

Table 3 Prevalence of Dermatologic Comorbidity in People with (n = 933; Mean Age 44.6 Years) vs without (n = 120,850; Mean Age 43.1 Years) Vitiligo, Nonadjusted Data Among Working People in German Companies

Table 4 Predictors and Their ORs of the Logistic Regression Model, Dependent Variable: Presence of Vitiligo Among Working People in German Companies (n = 120,833)

Table 5 Prevalence of Dermatologic Comorbidity in People with (n = 2689; Mean Age 50.0 Years) vs without Vitiligo (n = 1,616,989; Mean Age 45.8 Years), Non-adjusted Claims Data

Table 6 Logistic Regression Model (Odds Ratios) for Factors Associated with Vitiligo-Diagnosis, Dependent Variable: Assured ICD-Diagnosis of Vitiligo (L80) in the Claims Data