Evidence map›Paper›PMID 28764686›Full record

ArticleBMC public health2017

Household preferences for reducing greenhouse gas emissions in four European high-income countries: Does health information matter? A mixed-methods study protocol.

Alina Herrmann, Helen Fischer, Dorothee Amelung, Dorian Litvine, Carlo Aall, Camilla Andersson, Marta Baltruszewicz, Carine Barbier, Sébastien Bruyère, Françoise Bénévise and 6 more

Erratum issuedAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Alina HerrmannInstitute of Public Health, Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany. alina.herrmann@uni-heidelberg.de.ORCID 0000-0002-6502-106X
Helen FischerInstitute of Public Health, Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.
Dorothee AmelungInstitute of Public Health, Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.
Dorian LitvineTEC-Conseil, Marseille, France.
Carlo AallVestlandforsking, Sogndal, Norway.
Camilla AnderssonDepartment of Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Marta BaltruszewiczVestlandforsking, Sogndal, Norway.
Carine BarbierCentre International de Recherche sur l'Environnement et le Developpement (CIRED), Nogent, France.
Sébastien BruyèreTEC-Conseil, Marseille, France.
Françoise BénéviseTEC-Conseil, Marseille, France.
Ghislain DuboisTEC-Conseil, Marseille, France.
Valérie R LouisInstitute of Public Health, Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.
Maria NilssonDepartment of Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Karen Richardsen MobergVestlandforsking, Sogndal, Norway.
Bore SköldDepartment of Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Rainer SauerbornInstitute of Public Health, Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is now universally acknowledged that climate change constitutes a major threat to human health. At the same time, some of the measures to reduce greenhouse gas emissions, so-called climate change mitigation measures, have significant health co-benefits (e.g., walking or cycling more; eating less meat). The goal of limiting global warming to 1,5° Celsius set by the Conference of the Parties to the United Nations Framework Convention on Climate Change in Paris in 2015 can only be reached if all stakeholders, including households, take actions to mitigate climate change. Results on whether framing mitigation measures in terms of their health co-benefits increases the likelihood of their implementation are inconsistent. The present study protocol describes the transdisciplinary project HOPE (HOuseholds' Preferences for reducing greenhouse gas emissions in four European high-income countries) that investigates the role of health co-benefits in households' decision making on climate change mitigation measures in urban households in France, Germany, Norway and Sweden.

methodsHOPE employs a mixed-methods approach combining status-quo carbon footprint assessments, simulations of the reduction of households' carbon footprints, and qualitative in-depth interviews with a subgroup of households. Furthermore, a policy analysis of current household oriented climate policies is conducted. In the simulation of the reduction of households' carbon footprints, half of the households are provided with information on health co-benefits of climate change mitigation measures, the other half is not. Households' willingness to implement the measures is assessed and compared in between-group analyses of variance. DISCUSSION: This is one of the first comprehensive mixed-methods approaches to investigate which mitigation measures households are most willing to implement in order to reach the 1,5° target set by the Paris Agreement, and whether health co-benefits can serve as a motivator for households to implement these measures. The comparison of the empirical data with current climate policies will provide knowledge for tailoring effective climate change mitigation and health policies.

Indexed as

Climate ChangeConservation of Natural ResourcesHealth BehaviorHealth PolicyDeveloped CountriesFranceGermanyHealth PromotionHumansNorwayParisSwedenClimate changeHealth co-benefitshousehold preferencesMitigationMixed-methodsPolicy

Identifiers

PMID28764686
PMCPMC5540303

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Registered trials

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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.