Evidence map›Paper›PMID 33777170›Full record

ArticleEnvironmental research letters : ERL [Web site]2019

Household, Community, Sub-National and Country-level Predictors of Primary Cooking Fuel Switching in Nine Countries from the PURE Study.

Matthew Shupler, Perry Hystad, Paul Gustafson, Sumathy Rangarajan, Maha Mushtaha, K G Jayachtria, Prem K Mony, Deepa Mohan, Parthiban Kumar, Pvm Lakshmi and 24 more

Open access · goldAbstract read
In one paragraph

Article in Environmental research letters : ERL [Web site], 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  11. Global Burden of Cardiovascular Diseases and Risk Factors, 1990-2019: Update From the GBD 2019 Study.Journal of the American College of Cardiology · 2020 · on this map
    Review
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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

34 authors at 18 institutions in 10 countries.

Matthew ShuplerSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Perry HystadCollege of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, United States.
Paul GustafsonDepartment of Statistics, University of British Columbia, Vancouver, British Columbia.
Sumathy RangarajanPopulation Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Maha MushtahaPopulation Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.
K G JayachtriaSt. John's Medical College & Research Institute, Bangalore, India.
Prem K MonySt. John's Medical College & Research Institute, Bangalore, India.
Deepa MohanMadras Diabetes Research Foundation, Chennai, India.
Parthiban KumarMadras Diabetes Research Foundation, Chennai, India.
Pvm LakshmiSchool of Public Health, PGIMER, Chandigarh, India.
Vivek SagarSchool of Public Health, PGIMER, Chandigarh, India.
Rajeev GuptaEternal Heart Care Centre and Research Institute, Jaipur, India.
Indu MohanEternal Heart Care Centre and Research Institute, Jaipur, India.
Sanjeev NairHealth Action By People, Thiruvananthapuram and Medical College, Trivandrum, India.
Ravi Prasad VarmaHealth Action By People, Thiruvananthapuram and Medical College, Trivandrum, India.
Wei LiMedical Research & Biometrics Center, National Center for Cardiovascular Diseases, Beijing, China.
Bo HuMedical Research & Biometrics Center, National Center for Cardiovascular Diseases, Beijing, China.
Kai YouShunyi District Center for Disease Prevention and Control, Beijing, China.
Tatenda NcubeDepartment of Physiology, University of Zimbabwe, Harare, Zimbabwe.
Brian NcubeDepartment of Physiology, University of Zimbabwe, Harare, Zimbabwe.
Jephat ChifambaDepartment of Physiology, University of Zimbabwe, Harare, Zimbabwe.
Nicola WestPamoja Tunaweza Research Centre, Moshi, Tanzania.
Karen YeatesPamoja Tunaweza Research Centre, Moshi, Tanzania.
Romaina IqbalDepartment of Community Health Science, Aga Khan University Hospital, Karachi, Pakistan.
Rehman KhawajaDepartment of Community Health Science, Aga Khan University Hospital, Karachi, Pakistan.
Rita YusufSchool of Life Sciences, Independent University, Dhaka, Bangladesh.
Afreen KhanSchool of Life Sciences, Independent University, Dhaka, Bangladesh.
Pamela SeronUniversidad de La Frontera, Temuco, Chile.
Fernando LanasUniversidad de La Frontera, Temuco, Chile.
Patricio Lopez-JaramilloResearch Department, FOSCAL and Medical School, Universidad de Santander (UDES), Bucaramanga, Colombia.
Paul A CamachoResearch Department, FOSCAL and Medical School, Universidad Autonoma de Bucaramanga (UNAB), Colombia.
Thandi PuoaneSchool of Public Health, University of the Western Cape, Bellville, South Africa.
Salim YusufPopulation Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Michael BrauerSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Population Health Research Institute · CAUniversity of British Columbia · CAUniversity of Zimbabwe · ZWAga Khan University Hospital · PKEternal Hospital · INIndependent University · BDMadras Diabetes Research Foundation · INPost Graduate Institute of Medical Education and Research · INSt.John's Medical College Hospital · INUniversidad de La Frontera · CLBeijing Center for Disease Prevention and Control · CNCentre For Development Studies · INHealth Action by People · INOregon State University · USQueen's University · CAUniversidad Autónoma de Bucaramanga · COUniversidad De Santander · COUniversity of the Western Cape · ZA

Funding

PURE-AIR: A Global Assessment of Air Pollution and Cardiopulmonary DiseaseDP5OD019850 · OD · OREGON STATE UNIVERSITY · PI HYSTAD, PERRY W · 2014 to 2018
$1.7M
NIH HHS DP5 OD019850
6 · The paper itself

Abstract

introductionSwitching from polluting (e.g. wood, crop waste, coal) to clean cooking fuels (e.g. gas, electricity) can reduce household air pollution (HAP) exposures and climate-forcing emissions. While studies have evaluated specific interventions and assessed fuel-switching in repeated cross-sectional surveys, the role of different multilevel factors in household fuel switching, outside of interventions and across diverse community settings, is not well understood.

methodsWe examined longitudinal survey data from 24,172 households in 177 rural communities across nine countries within the Prospective Urban and Rural Epidemiology (PURE) study. We assessed household-level primary cooking fuel switching during a median of 10 years of follow up (~2005-2015). We used hierarchical logistic regression models to examine the relative importance of household, community, sub-national and national-level factors contributing to primary fuel switching.

resultsOne-half of study households (12,369) reported changing their primary cooking fuels between baseline and follow up surveys. Of these, 61% (7,582) switched from polluting (wood, dung, agricultural waste, charcoal, coal, kerosene) to clean (gas, electricity) fuels, 26% (3,109) switched between different polluting fuels, 10% (1,164) switched from clean to polluting fuels and 3% (522) switched between different clean fuels. Among the 17,830 households using polluting cooking fuels at baseline, household-level factors (e.g. larger household size, higher wealth, higher education level) were most strongly associated with switching from polluting to clean fuels in India; in all other countries, community-level factors (e.g. larger population density in 2010, larger increase in population density between 2005-2015) were the strongest predictors of polluting-to-clean fuel switching.

conclusionsThe importance of community and sub-national factors relative to household characteristics in determining polluting-to-clean fuel switching varied dramatically across the nine countries examined. This highlights the potential importance of national and other contextual factors in shaping large-scale clean cooking transitions among rural communities in low- and middle-income countries.

Indexed as

community factorsHousehold air pollutionlongitudinalmultilevel modelingprimary fuel switching

Identifiers

PMID33777170
PMCPMC7995525
OpenAlexW2954508392

What OpenQuestion holds

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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.