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Record W4387002830 · doi:10.1111/jdv.19358

Climate change and air pollution: Twin threats of burning fossil fuels with implications for the practice of dermatology

2023· article· en· W4387002830 on OpenAlexaboutno aff
Markus D. Boos

Bibliographic record

VenueJournal of the European Academy of Dermatology and Venereology · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsAtopic dermatitisMedicineEnvironmental healthAir pollutionClimate changeGlobal warmingAir quality indexNatural resource economicsDermatologyEcology

Abstract

fetched live from OpenAlex

Climate change associated with widespread planetary warming has resulted in myriad detrimental impacts on human health and has been described as the most significant crisis facing the global healthcare system.1 As the primary (dynamic) barrier between individuals and their environment, skin is visibly sensitive to the health risks posed by a warming world, including heat-related illnesses, cutaneous and systemic infections, malignancy, photoaging and pigmentary disorders, as well as nutritional deficiencies secondary to food insecurity.1 Importantly, skin is also sensitive to air pollution. Exacerbations of allergic, autoimmune and inflammatory disorders, including atopic dermatitis, systemic lupus erythematosus, psoriasis and pemphigus, have all been associated with exposure to small particulate matter and the poor air quality that occurs secondary to the combustion of carbon sources.2 As such, it is important to recognize that air pollution is not a separate health issue distinct from climate change, but rather the opposite side of the same proverbial coin that occurs as a result of burning fossil fuels. With this in mind, Fadadu and colleagues' systematic review of air pollution and healthcare utilization for atopic dermatitis in this issue of The Journal is an important addition to a growing body of literature that clearly demonstrates the detrimental impact of fossil fuel combustion, air pollution and climate change on allergic disease.3 Building on their work showing an association between air pollution from the 2018 California Camp Fire and increased health care utilization for atopic dermatitis and itch,4 the authors reviewed 18 available global studies to more rigorously assess this association. Specifically, they found that across a majority of studies, increases in the concentration of small particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2) and sulphur dioxide (SO2) were associated with increased healthcare utilization for atopic dermatitis. Moreover, these effects may be modulated by other climatic variables including temperature, humidity and ultraviolet light exposure.3 What do we, as dermatologists, do with this important information? Practically speaking, it is unclear how to best minimize the effects of air pollution on atopic dermatitis, as this question has not been thoroughly studied. Common sense interventions include remaining indoors when air quality indexes are poor, use of indoor air filtration systems (if available and affordable) and daily bathing to remove as much particulate matter from the skin as possible. Nevertheless, important questions remain regarding these practices, including if frequent bathing disrupts protection afforded by the epidermis, exacerbating atopic symptoms upon continued exposure to air pollution. The authors themselves posit an interesting query: does the use of an emollient serve as a protective barrier against air pollution or might it serve as a depot for substances that in turn flare atopic dermatitis following prolonged exposure?3 As the nascent field of climate change dermatology continues to grow, these are the types of clinical questions that must be addressed in order to best prepare our patients and ourselves for the cutaneous impacts of air quality and temperature changes that will occur in an ever-warming world. Make no mistake—climate change is an existential threat that will not affect individual and public health in a distant future; it is a crisis that is affecting our well-being today. In recent years, wildfires across Australia and Europe, and now raging through much of Canada, have resulted in ever-worsening measures of air quality in cities as disparate as Sydney, Madrid, Chicago and Washington DC, with implications for dermatologic and overall health in locales that are unaccustomed to such conditions. We, therefore, must be prepared to help our patients navigate a new climate reality. Beyond providing skin care recommendations, dermatologists can leverage their expertise and longitudinal relationships with patients to help make connections between global warming, air pollution and dermatologic disease. Though this may feel like a daunting task due to rampant disinformation and political denial regarding the effects of climate change, different tactics including targeted risk communication, motivational interviewing and storytelling may make communicating these associations less fraught for providers, while increasing patient receptiveness to these facts.5 This in turn may help empower patients and mitigate climate change-related anxiety. Ultimately it is our ethical imperative as healthcare providers to clearly and effectively educate our communities about the indisputable facts of human-induced global warming and to advocate for measures (reductions in fossil fuel use, higher air quality standards, healthcare system preparedness and resiliency, etc.) that will reduce the negative impacts of climate change and air pollution on dermatologic health.1, 6 There's no time like the present. None. None. Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.063
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.063
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0010.003
Scholarly communication0.0040.006
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.086
GPT teacher head0.347
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2023
Admission routes1
Has abstractyes

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