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Cited by 784

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

A global perspective on the epidemiology of acne

Tan, J.K.L., Bhate, K.·2015·British Journal of Dermatology

Abstract

Acne is estimated to affect 9.4% of the global population, making it the eighth most prevalent disease worldwide. Epidemiological studies have demonstrated that acne is most common in postpubescent teens, with boys most frequently affected, particularly with more severe forms of the disease. This paper aims to provide an update on the epidemiology of acne worldwide. Recent general and institutional studies from around the world have shown that the prevalence of acne is broadly consistent globally (with the exception of specific populations, which are discussed). However, this review highlights that there is a wide range of disparate outcome measures being applied in epidemiology studies, and we emphasize the need to develop a widely accepted, credible, standard assessment scale to address this in the future. In addition we discuss special populations, such as those devoid of acne, as well as the impact of potential determinants of acne on disease epidemiology.

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Metadata

Authors
Tan, J. K. L., & Bhate, K.
Venue
British Journal of Dermatology
Published
2015-06-19
Volume
172
Pages
3-12
ISSN
0007-0963 (ISSN-L)
OpenAlex
W2067243972
Cited by
784
References
6
FWCI
22.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A global perspective on the epidemiology of acne. https://app.cochat.ai/papers/10.1111/bjd.13462
The paper
Tan, J. K. L., & Bhate, K. (2015). A global perspective on the epidemiology of acne. British Journal of Dermatology. https://doi.org/10.1111/bjd.13462

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.