Comorbidities Associated with Vitiligo: Results from the EpiChron Cohort Article Swipe
Beatriz Clemente Hernández
,
Itziar Muelas Rives
,
Tamara Gracia‐Cazaña
,
Marcial Álvarez‐Salafranca
,
Beatriz Poblador‐Plou
,
Clara Laguna-Berna
,
Aída Moreno-Juste
,
Antonio Gimeno‐Miguel
,
Yolanda Gilaberte
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/jcm14020432
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/jcm14020432
Background: Vitiligo is a pigmentation disorder that impacts approximately 0.5% to 2% of the global population. Growing interest surrounds the comorbidities associated with vitiligo. This study aimed to describe the socio-demographic characteristics of the patients with vitiligo in Aragón (Spain) and to investigate their associated comorbidities. Methods: A retrospective observational study was conducted using clinical data from individuals in the EpiChron Cohort (reference population of 1.3 million) who were diagnosed with vitiligo between 1 January and 31 December 2019. The prevalence of chronic comorbidities was calculated using logistic regression models, obtaining the odds ratio (OR) of each comorbidity (dependent variable) according to the presence or absence of vitiligo (independent variable). We used a cut-off point for a statistical significance of p-value < 0.05. Results: In total, 218 patients diagnosed with vitiligo were analyzed. The mean age was 44.0 years, and 56.42% were female. The largest proportion of patients (34.86%) were aged between 18 and 44 years. Among all vitiligo patients included, 71.5% presented multimorbidity, with an average of 3.21 diagnosed comorbidities. The conditions most frequently associated with vitiligo included thyroid disorders (OR: 3.01, p < 0.001), ocular and hearing abnormalities (OR: 1.54, p < 0.020), inflammatory skin disorders (OR: 2.21, p < 0.001), connective tissue diseases (OR: 1.84, p < 0.007), lower respiratory tract diseases (OR: 1.78, p < 0.014), urinary tract infections (OR: 1.69, p < 0.032), and cardiac arrhythmias (OR 1.84, p < 0.034). Conclusions: This research highlights the importance of understanding the broader health implications of vitiligo and provides a foundation for further exploration into the complex interplay between this dermatologic condition and a diverse range of comorbidities.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/jcm14020432
- https://www.mdpi.com/2077-0383/14/2/432/pdf?version=1736762219
- OA Status
- gold
- Cited By
- 3
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406304079
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406304079Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/jcm14020432Digital Object Identifier
- Title
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Comorbidities Associated with Vitiligo: Results from the EpiChron CohortWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-11Full publication date if available
- Authors
-
Beatriz Clemente Hernández, Itziar Muelas Rives, Tamara Gracia‐Cazaña, Marcial Álvarez‐Salafranca, Beatriz Poblador‐Plou, Clara Laguna-Berna, Aída Moreno-Juste, Antonio Gimeno‐Miguel, Yolanda GilaberteList of authors in order
- Landing page
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https://doi.org/10.3390/jcm14020432Publisher landing page
- PDF URL
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https://www.mdpi.com/2077-0383/14/2/432/pdf?version=1736762219Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2077-0383/14/2/432/pdf?version=1736762219Direct OA link when available
- Concepts
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Medicine, Vitiligo, Internal medicine, Comorbidity, Population, Odds ratio, Cohort, Retrospective cohort study, Cohort study, Dermatology, Environmental healthTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
- References (count)
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50Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.chronic | 82 |
| abstract_inverted_index.complex | 259 |
| abstract_inverted_index.cut-off | 113 |
| abstract_inverted_index.diverse | 267 |
| abstract_inverted_index.female. | 142 |
| abstract_inverted_index.further | 255 |
| abstract_inverted_index.hearing | 188 |
| abstract_inverted_index.impacts | 7 |
| abstract_inverted_index.largest | 144 |
| abstract_inverted_index.models, | 89 |
| abstract_inverted_index.p-value | 120 |
| abstract_inverted_index.thyroid | 179 |
| abstract_inverted_index.urinary | 220 |
| abstract_inverted_index.(34.86%) | 148 |
| abstract_inverted_index.December | 77 |
| abstract_inverted_index.EpiChron | 60 |
| abstract_inverted_index.Methods: | 46 |
| abstract_inverted_index.Results: | 123 |
| abstract_inverted_index.Vitiligo | 1 |
| abstract_inverted_index.clinical | 54 |
| abstract_inverted_index.describe | 28 |
| abstract_inverted_index.diseases | 205, 214 |
| abstract_inverted_index.disorder | 5 |
| abstract_inverted_index.included | 178 |
| abstract_inverted_index.interest | 17 |
| abstract_inverted_index.logistic | 87 |
| abstract_inverted_index.million) | 66 |
| abstract_inverted_index.patients | 34, 127, 147, 159 |
| abstract_inverted_index.presence | 103 |
| abstract_inverted_index.provides | 251 |
| abstract_inverted_index.research | 238 |
| abstract_inverted_index.vitiligo | 36, 71, 107, 130, 158, 177, 249 |
| abstract_inverted_index.according | 100 |
| abstract_inverted_index.analyzed. | 132 |
| abstract_inverted_index.condition | 264 |
| abstract_inverted_index.conducted | 52 |
| abstract_inverted_index.diagnosed | 69, 128, 169 |
| abstract_inverted_index.disorders | 180, 197 |
| abstract_inverted_index.included, | 160 |
| abstract_inverted_index.interplay | 260 |
| abstract_inverted_index.obtaining | 90 |
| abstract_inverted_index.presented | 162 |
| abstract_inverted_index.surrounds | 18 |
| abstract_inverted_index.variable) | 99 |
| abstract_inverted_index.vitiligo. | 23 |
| abstract_inverted_index.(dependent | 98 |
| abstract_inverted_index.(reference | 62 |
| abstract_inverted_index.associated | 21, 44, 175 |
| abstract_inverted_index.calculated | 85 |
| abstract_inverted_index.conditions | 172 |
| abstract_inverted_index.connective | 203 |
| abstract_inverted_index.foundation | 253 |
| abstract_inverted_index.frequently | 174 |
| abstract_inverted_index.highlights | 239 |
| abstract_inverted_index.importance | 241 |
| abstract_inverted_index.infections | 222 |
| abstract_inverted_index.population | 63 |
| abstract_inverted_index.prevalence | 80 |
| abstract_inverted_index.proportion | 145 |
| abstract_inverted_index.regression | 88 |
| abstract_inverted_index.variable). | 109 |
| abstract_inverted_index.Background: | 0 |
| abstract_inverted_index.arrhythmias | 230 |
| abstract_inverted_index.comorbidity | 97 |
| abstract_inverted_index.exploration | 256 |
| abstract_inverted_index.individuals | 57 |
| abstract_inverted_index.investigate | 42 |
| abstract_inverted_index.population. | 15 |
| abstract_inverted_index.respiratory | 212 |
| abstract_inverted_index.statistical | 117 |
| abstract_inverted_index.(independent | 108 |
| abstract_inverted_index.Conclusions: | 236 |
| abstract_inverted_index.dermatologic | 263 |
| abstract_inverted_index.implications | 247 |
| abstract_inverted_index.inflammatory | 195 |
| abstract_inverted_index.pigmentation | 4 |
| abstract_inverted_index.significance | 118 |
| abstract_inverted_index.abnormalities | 189 |
| abstract_inverted_index.approximately | 8 |
| abstract_inverted_index.comorbidities | 20, 83 |
| abstract_inverted_index.observational | 49 |
| abstract_inverted_index.retrospective | 48 |
| abstract_inverted_index.understanding | 243 |
| abstract_inverted_index.comorbidities. | 45, 170, 270 |
| abstract_inverted_index.characteristics | 31 |
| abstract_inverted_index.multimorbidity, | 163 |
| abstract_inverted_index.socio-demographic | 30 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5002248428 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I4210114530, https://openalex.org/I4210136512 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7599999904632568 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.94953796 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |