Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 4 complete abstracts (920 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
A measure of the total greenhouse gas emissions produced by an individual, organization, event, or product. It is measured in units of equivalent kilograms of carbon dioxide generated in a given time frame.
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: Carbon Footprints; Footprint, Carbon; Footprints, Carbon.
Where it fits in the MeSH classification
- Broader topics
- Environment
- See also
- Greenhouse Effect; Global Warming
Related concepts
- Carbon Dioxide
Research landscape
PubMed indexes 2,043 records tagged with the MeSH heading “Carbon Footprint” (counts retrieved 2026-10-31). 1,482 of them (72.5%) were published from 2020 onward, and the busiest period so far is 2020 onward with 1,482 records.
Reviews account for 242 records (11.8%) and meta-analyses for 7. Randomized controlled trials number 12 (0.6%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.
Show the data
| Period | Records |
|---|---|
| through 1999 | 0 |
| 2000-2009 | 0 |
| 2010-2019 | 571 |
| 2020 onward | 1,482 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 242 | 11.8% |
| Meta-analyses | 7 | 0.3% |
| Randomized controlled trials | 12 | 0.6% |
Method: PubMed query "Carbon Footprint"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.
Reading the evidence in public health and nutrition
Population and nutrition studies mostly observe what people eat, breathe or are exposed to and then look for links with health, which shows association and not proof of cause. Self-reported diet is imprecise, people who eat or live differently also differ in other ways, and effects measured across a population may not apply to one person. Check the study design, how exposure was measured, what else was accounted for and the size of the effect, not only whether it was statistically significant.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
| Study / authors | Year | Source label / design | Europe PMC citations | Licence / source |
|---|---|---|---|---|
| Health care's response to climate change: a carbon footprint assessment of the NHS in England | 2021 | Research article Design not recorded in structured metadata | 534 | cc by PMID 33581070 · DOI · PMC7887664 |
| Development and Validation of an Index Based on EAT-Lancet Recommendations: The Planetary Health Diet Index | 2021 | Research article Design not recorded in structured metadata | 152 | cc by PMID 34067774 · DOI · PMC8156093 |
| Minimising carbon and financial costs of steam sterilisation and packaging of reusable surgical instruments | 2022 | Research article Design not recorded in structured metadata | 92 | cc by PMID 34849606 · DOI · PMC10364739 |
| Travel-associated emissions of intravitreal injections | 2026 | Research article Design not recorded in structured metadata | 4 | cc by PMID 41175224 · DOI · PMC12923497 |
Health care's response to climate change: a carbon footprint assessment of the NHS in England [1]
Abstract reading summary — source excerpts
- Opening excerpt
- BackgroundClimate change threatens to undermine the past 50 years of gains in public health.
- Closing excerpt
- FundingWellcome Trust.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (249 words)
BackgroundClimate change threatens to undermine the past 50 years of gains in public health. In response, the National Health Service (NHS) in England has been working since 2008 to quantify and reduce its carbon footprint. This Article presents the latest update to its greenhouse gas accounting, identifying interventions for mitigation efforts and describing an approach applicable to other health systems across the world.MethodsA hybrid model was used to quantify emissions within Scopes 1, 2, and 3 of the Greenhouse Gas Protocol, as well as patient and visitor travel emissions, from 1990 to 2019. This approach complements the broad coverage of top-down economic modelling with the high accuracy of bottom-up data wherever available. Available data were backcasted or forecasted to cover all years. To enable the identification of measures to reduce carbon emissions, results were disaggregated by organisation type.FindingsIn 2019, the health service's emissions totalled 25 megatonnes of carbon dioxide equivalent, a reduction of 26% since 1990, and a decrease of 64% in the emissions per inpatient finished admission episode. Of the 2019 footprint, 62% came from the supply chain, 24% from the direct delivery of care, 10% from staff commute and patient and visitor travel, and 4% from private health and care services commissioned by the NHS.InterpretationThis work represents the longest and most comprehensive accounting of national health-care emissions globally, and underscores the importance of incorporating bottom-up data to improve the accuracy of top-down modelling and enabling detailed monitoring of progress as health systems act to reduce emissions.FundingWellcome Trust.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 33581070 · DOI · PMC7887664
Development and Validation of an Index Based on EAT-Lancet Recommendations: The Planetary Health Diet Index [2]
Abstract reading summary — source excerpts
- Opening excerpt
- The EAT-Lancet Commission has proposed a planetary health diet.
- Closing excerpt
- Thus, we confirmed the PHDI validity and reliability.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (162 words)
The EAT-Lancet Commission has proposed a planetary health diet. We propose the development of the Planetary Health Diet Index (PHDI) based on this proposed reference diet. We used baseline dietary data obtained through a 114-item FFQ from 14,779 participants of the Longitudinal Study on Adult Health, a multicenter cohort study conducted in Brazil. The PHDI has 16 components and a score from 0 to 150 points. Validation and reliability analyses were performed, including principal component analyses, association with selected nutrients, differences in means between groups (for example, smokers vs. non-smokers), correlations between components and total energy intake, Cronbach's alpha, item-item correlations, and linear regression analysis between PHDI with carbon footprint and overall dietary quality. The mean PHDI was 60.4 (95% CI 60.2:60.5). The PHDI had six dimensions, was associated in an expected direction with the selected nutrients and was significantly (p p < 0.001) with a higher overall dietary quality and lower carbon footprint. Thus, we confirmed the PHDI validity and reliability.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 34067774 · DOI · PMC8156093
Minimising carbon and financial costs of steam sterilisation and packaging of reusable surgical instruments [3]
Abstract reading summary — source excerpts
- Opening excerpt
- BackgroundThe aim of this study was to estimate the carbon footprint and financial cost of decontaminating (steam sterilization) and packaging reusable surgical instruments, indicating how that burden might be reduced, enabling surgeons to drive action towards net-zero-carbon surgery.
- Closing excerpt
- ConclusionCarbon and financial savings can be made by preparing instruments as part of sets, integrating individually wrapped instruments into sets rather than streamlining them, efficient machine loading, and using low-carbon energy sources alongside recycling.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (265 words)
BackgroundThe aim of this study was to estimate the carbon footprint and financial cost of decontaminating (steam sterilization) and packaging reusable surgical instruments, indicating how that burden might be reduced, enabling surgeons to drive action towards net-zero-carbon surgery.MethodsCarbon footprints were estimated using activity data and prospective machine-loading audit data at a typical UK in-hospital sterilization unit, with instruments wrapped individually in flexible pouches, or prepared as sets housed in single-use tray wraps or reusable rigid containers. Modelling was used to determine the impact of alternative machine loading, opening instruments during the operation, streamlining sets, use of alternative energy sources for decontamination, and alternative waste streams.ResultsThe carbon footprint of decontaminating and packaging instruments was lowest when instruments were part of sets (66-77 g CO2e per instrument), with a two- to three-fold increase when instruments were wrapped individually (189 g CO2e per instrument). Where 10 or fewer instruments were required for the operation, obtaining individually wrapped items was preferable to opening another set. The carbon footprint was determined significantly by machine loading and the number of instruments per machine slot. Carbon and financial costs increased with streamlining sets. High-temperature incineration of waste increased the carbon footprint of single-use packaging by 33-55 per cent, whereas recycling reduced this by 6-10 per cent. The absolute carbon footprint was dependent on the energy source used, but this did not alter the optimal processes to minimize that footprint.ConclusionCarbon and financial savings can be made by preparing instruments as part of sets, integrating individually wrapped instruments into sets rather than streamlining them, efficient machine loading, and using low-carbon energy sources alongside recycling.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 34849606 · DOI · PMC10364739
Travel-associated emissions of intravitreal injections [4]
Abstract reading summary — source excerpts
- Opening excerpt
- PurposeIntravitreal injections (IVIs) are among the most frequently performed ophthalmic procedures and have been associated with a substantial carbon footprint.
- Closing excerpt
- To implement strategies for more sustainable IVIs, ophthalmologists may be encouraged by local and national bodies to incorporate environmental criteria into their practice.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (244 words)
PurposeIntravitreal injections (IVIs) are among the most frequently performed ophthalmic procedures and have been associated with a substantial carbon footprint. Travel-associated emissions are considered a key driver of IVIs' carbon footprint; however, no study in a country with a decentralised healthcare system has assessed IVI-related emissions. Here, the IVI-associated carbon footprint in an urban German tertiary referral centre was investigated.MethodsIn total, 340 patients were included. The carbon footprint was assessed based on the distance travelled by patients and accompanying persons, the mode of transport, and postoperative follow-up visits. Demographic data, treatment indication, and the injected medication were collected.ResultsThe average travel-associated CO2 equivalent (CO2eq) for a single IVI was 11.1 kg. Of this, 9.1 kg CO2eq and 2 kg CO2eq were due to travel to the injection clinic and to follow-up visits, respectively. Anti-VEGF treatment for common diseases such as age-related macular degeneration and diabetic macular edema was associated with a lower CO2eq compared with treatment of patients suffering from less prevalent conditions such as uveitis (10.8 kg vs. 15.6 kg). The majority of patients (49%) travelled by public transport (median distance: 22.4 km); patients travelling by car (33%) usually covered longer distances (median distance: 61.5 km).ConclusionTravel is a meaningful contributor to the carbon footprint of IVIs. Mitigation may be achieved by various approaches, such as longer-acting therapeutic agents or bilateral injections. To implement strategies for more sustainable IVIs, ophthalmologists may be encouraged by local and national bodies to incorporate environmental criteria into their practice.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41175224 · DOI · PMC12923497
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article The Carbon Footprint of Surgical Operations: A Systematic Review [5]
- Research article The carbon footprint of healthcare settings: A systematic review [6]
- Research article Carbon footprint and nutritional quality of different human dietary choices [7]
- Research article Climate-smart Actions in the Operating Theatre for Improving Sustainability Practices: A Systematic Review [8]
- Research article Assessing the carbon footprint of digital health interventions: a scoping review [9]
- Research article Carbon footprint and cost-effectiveness of cataract surgery [10]
References
- Tennison I, Roschnik S, Ashby B, Boyd R, Hamilton I, Oreszczyn T, et al.. Health care's response to climate change: a carbon footprint assessment of the NHS in England. . 2021. PMID 33581070 · DOI · PMC7887664
- Cacau LT, De Carli E, de Carvalho AM, Lotufo PA, Moreno LA, Bensenor IM, et al.. Development and Validation of an Index Based on EAT-Lancet Recommendations: The Planetary Health Diet Index. . 2021. PMID 34067774 · DOI · PMC8156093
- Rizan C, Lillywhite R, Reed M, Bhutta MF. Minimising carbon and financial costs of steam sterilisation and packaging of reusable surgical instruments. . 2022. PMID 34849606 · DOI · PMC10364739
- Yang-Seeger D, Schellstede A, Pauleikhoff LJB, Spitzer MS, Birtel J. Travel-associated emissions of intravitreal injections. . 2026. PMID 41175224 · DOI · PMC12923497
- Rizan C, Steinbach I, Nicholson R, Lillywhite R, Reed M, Bhutta MF. The Carbon Footprint of Surgical Operations: A Systematic Review. Ann Surg. 2020. PMID 32516230 · DOI
- Rodríguez-Jiménez L, Romero-Martín M, Spruell T, Steley Z, Gómez-Salgado J. The carbon footprint of healthcare settings: A systematic review. J Adv Nurs. 2023. PMID 37198974 · DOI
- González-García S, Esteve-Llorens X, Moreira MT, Feijoo G. Carbon footprint and nutritional quality of different human dietary choices. Sci Total Environ. 2018. PMID 29981520 · DOI
- Pradere B, Mallet R, de La Taille A, Bladou F, Prunet D, Beurrier S, et al.. Climate-smart Actions in the Operating Theatre for Improving Sustainability Practices: A Systematic Review. Eur Urol. 2023. PMID 35151515 · DOI
- Lokmic-Tomkins Z, Davies S, Block LJ, Cochrane L, Dorin A, von Gerich H, et al.. Assessing the carbon footprint of digital health interventions: a scoping review. J Am Med Inform Assoc. 2022. PMID 36314391 · DOI · PMC9667173
- Venkatesh R, van Landingham SW, Khodifad AM, Haripriya A, Thiel CL, Ramulu P, et al.. Carbon footprint and cost-effectiveness of cataract surgery. Curr Opin Ophthalmol. 2016. PMID 26569528 · DOI
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-11-04; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-11-04.
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Evidence strength
EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.