Abstract

Introduction. Switching from polluting (e.g. wood, crop waste, coal) to clean (e.g. gas, electricity) cooking fuels can reduce household air pollution 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. Methods. We examined longitudinal survey data from 24 172 households in 177 rural communities across nine countries within the Prospective Urban and Rural Epidemiology 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. Results. One-half of study households (12 369) reported changing their primary cooking fuels between baseline and follow up surveys. Of these, 61% (7582) switched from polluting (wood, dung, agricultural waste, charcoal, coal, kerosene) to clean (gas, electricity) fuels, 26% (3109) switched between different polluting fuels, 10% (1164) 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 and 2015) were the strongest predictors of polluting-to-clean fuel switching. Conclusions. The 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.

Details

Title
Household, community, sub-national and country-level predictors of primary cooking fuel switching in nine countries from the PURE study
Author
Shupler, Matthew 1   VIAFID ORCID Logo  ; Perry Hystad 2 ; Gustafson, Paul 3 ; Rangarajan, Sumathy 4 ; Mushtaha, Maha 4 ; Jayachtria, K G 5 ; Mony, Prem K 5 ; Mohan, Deepa 6 ; Kumar, Parthiban 6 ; PVM, Lakshmi 7 ; Sagar, Vivek 8 ; Gupta, Rajeev 9 ; Mohan, Indu 9 ; Nair, Sanjeev 10 ; Ravi Prasad Varma 11 ; Li, Wei 12 ; Hu, Bo 12 ; You, Kai 13 ; Ncube, Tatenda 14 ; Ncube, Brian 14 ; Chifamba, Jephat 14 ; West, Nicola 15 ; Yeates, Karen 16 ; Iqbal, Romaina 17 ; Rehman Khawaja 17 ; Yusuf, Rita 18 ; Khan, Afreen 18 ; Seron, Pamela 19 ; Lanas, Fernando 19 ; Lopez-Jaramillo, Patricio 20 ; Camacho, Paul A 21 ; Puoane, Thandi 22 ; Salim Yusuf 4 ; Brauer, Michael 1   VIAFID ORCID Logo  ; on behalf of the Prospective Urban Rural Epidemiology (PURE) study 1 

 School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada 
 College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States of America 
 Department of Statistics, University of British Columbia, Vancouver, British Columbia, Canada 
 Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada 
 St. John’s Medical College & Research Institute, Bangalore, India 
 Madras Diabetes Research Foundation, Chennai, India 
 School of Public Health, PGIMER, Chandigarh, India 
 School of Public Health, PGIMER, Chandigarh, India; Department of Community Medicine, PGIMER, Chandigarh, India 
 Eternal Heart Care Centre and Research Institute, Jaipur, India 
10  Health Action By People, Thiruvananthapuram and Medical College, Trivandrum, India 
11  Health Action By People, Thiruvananthapuram and Medical College, Trivandrum, India; Achutha Menon Centre for Health Science Studies, Trivandrum, India 
12  Medical Research & Biometrics Center, National Center for Cardiovascular Diseases, Beijing, People’s Republic of China 
13  Shunyi District Center for Disease Prevention and Control, Beijing, People’s Republic of China 
14  Department of Physiology, University of Zimbabwe, Harare, Zimbabwe 
15  Pamoja Tunaweza Research Centre, Moshi, Tanzania 
16  Pamoja Tunaweza Research Centre, Moshi, Tanzania; Department of Medicine, Queen’s University, Kingston, Ontario, Canada 
17  Department of Community Health Science, Aga Khan University Hospital, Karachi, Pakistan 
18  School of Life Sciences, Independent University, Dhaka, Bangladesh 
19  Universidad de La Frontera, Temuco, Chile 
20  Research Department, FOSCAL and Medical School, Universidad de Santander (UDES), Bucaramanga, Colombia 
21  Research Department, FOSCAL and Medical School, Universidad Autonoma de Bucaramanga (UNAB), Colombia 
22  School of Public Health, University of the Western Cape, Bellville, South Africa 
Publication year
2019
Publication date
Aug 2019
Publisher
IOP Publishing
e-ISSN
17489326
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2621626563
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.