Evidence map›Paper›PMID 29696460›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2018

Tackling the chronic disease burden: are there co-benefits from climate policy measures?

Désirée Vandenberghe, Johan Albrecht

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Désirée VandenbergheFaculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2, 9000, Ghent, Belgium. Desiree.Vandenberghe@UGent.be.
Johan AlbrechtFaculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2, 9000, Ghent, Belgium.
Ghent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Each year, non-communicable diseases (NCDs) kill 40 million people worldwide and impose an estimated economic burden of $600 billion. Without effective policymaking, NCDs will continue to undermine health and economic systems globally. We propose that climate policy measures-such as carbon pricing-can yield significant health-related co-benefits aside from their intended greenhouse gas emission reduction. We simulate three carbon tax scenarios in the energy and food sector in Belgium and assess the resulting health-related co-benefits. These benefits originate from decreased exposure to two leading NCD risk factors: fine particulate matter and dietary regimes excessive in animal products. The carbon tax could prevent 42,300-78,800 Disability-Adjusted Life Years in Belgium, or save 0.6-1.1% of total health care expenditure and an additional 0.06-0.12% of Belgian GDP. We conclude that these health-related co-benefits should be included in the cost-benefit analysis of carbon pricing.

Indexed as

Quality-Adjusted Life YearsAnimalsBelgiumCarbon DioxideChronic DiseaseClimateComputer SimulationCost-Benefit AnalysisDietHealth ExpendituresHealth PolicyHumansMeatModels, EconometricParticulate MatterPersons with DisabilitiesCarbon DioxideParticulate MatterBurden of diseaseCarbon taxDietNon-communicable diseaseParticulate matterVegetarian

Identifiers

PMID29696460
OpenAlexW2800560216

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.