Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1088/1748-9326/ab2d46 |
Household, community, sub-national and country-level predictors of primary cooking fuel switching in nine countries from the PURE study | |
Shupler, Matthew1; 39;Donnell, M.2; 39;Souza, R.3 | |
2019-08-01 | |
发表期刊 | ENVIRONMENTAL RESEARCH LETTERS
![]() |
ISSN | 1748-9326 |
出版年 | 2019 |
卷号 | 14期号:8 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada; USA; India; Peoples R China; Zimbabwe; Tanzania; Pakistan; Bangladesh; Chile; Colombia; South Africa |
英文摘要 | 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 (similar to 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. |
英文关键词 | household air pollution primary cooking fuel switching clean cooking multilevel modeling |
领域 | 气候变化 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000478754100005 |
WOS关键词 | INDOOR AIR-POLLUTION ; SOLID-FUEL ; BLOOD-PRESSURE ; CLEAN COOKING ; SMOKE EXPOSURE ; PREGNANT-WOMEN ; ENERGY LADDER ; STOVE USAGE ; COOKSTOVE ; HEALTH |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/185599 |
专题 | 气候变化 |
作者单位 | 1.Univ British Columbia, Sch Populat & Publ Hlth, Vancouver, BC, Canada; 2.Oregon State Univ, Coll Publ Hlth & Human Sci, Corvallis, OR 97331 USA; 3.Univ British Columbia, Dept Stat, Vancouver, BC, Canada; 4.McMaster Univ, Populat Hlth Res Inst, Hamilton Hlth Sci, Hamilton, ON, Canada; 5.St Johns Med Coll & Res Inst, Bangalore, Karnataka, India; 6.Madras Diabet Res Fdn, Chennai, Tamil Nadu, India; 7.PGIMER, Sch Publ Hlth, Chandigarh, India; 8.PGIMER, Dept Community Med, Chandigarh, India; 9.Eternal Heart Care Ctr & Res Inst, Jaipur, Rajasthan, India; 10.Thiruvananthapuram & Med Coll, Hlth Act People, Trivandrum, Kerala, India; 11.Achutha Menon Ctr Hlth Sci Studies, Trivandrum, Kerala, India; 12.Natl Ctr Cardiovasc Dis, Med Res & Biometr Ctr, Beijing, Peoples R China; 13.Shunyi Dist Ctr Dis Prevent & Control, Beijing, Peoples R China; 14.Univ Zimbabwe, Dept Physiol, Harare, Zimbabwe; 15.Pamoja Tunaweza Res Ctr, Moshi, Tanzania; 16.Queens Univ, Dept Med, Kingston, ON, Canada; 17.Aga Khan Univ Hosp, Dept Community Hlth Sci, Karachi, Pakistan; 18.Independent Univ, Sch Life Sci, Dhaka, Bangladesh; 19.Univ La Frontera, Temuco, Chile; 20.Univ Santander UDES, FOSCAL, Res Dept, Bucaramanga, Colombia; 21.Univ Santander UDES, Med Sch, Bucaramanga, Colombia; 22.Univ Autonoma Bucaramanga UNAB, FOSCAL, Res Dept, Bucaramanga, Colombia; 23.Univ Autonoma Bucaramanga UNAB, Med Sch, Bucaramanga, Colombia; 24.Univ Western Cape, Sch Publ Hlth, Bellville, South Africa; 25.Hamilton Hlth Sci, Populat Hlth Res Inst, Hamilton, ON, Canada; 26.McMaster Univ, Hamilton, ON, Canada; 27.North West Univ, Fac Hlth Sci, Potchefstroom Campus, ZA-7535 Bellville, South Africa; 28.Univ Western Cape, Dept Dietet & Nutr, Private Bag X17, ZA-7535 Bellville, South Africa; 29.Univ Zimbabwe, Coll Hlth Sci, Physiol Dept, Harare, Zimbabwe; 30.Pamoja Tunaweza Women Ctr, Moshi, Tanzania; 31.Queens Univ, Dept Med, Div Nephrol, Kingston, ON, Canada; 32.Chinese Acad Med Sci, Cardiovasc Inst, Natl Ctr Cardiovasc Dis, 167 Bei Li Shi Lu, Beijing, Peoples R China; 33.Chinese Acad Med Sci, Fuwai Hosp, 167 Bei Li Shi Lu, Beijing, Peoples R China; 34.Fuwai Hosp, 167 Beilishi Rd, Beijing 100037, Peoples R China; 35.Aga Khan Univ, Dept Community Hlth Sci & Med, Stadium Rd,POB 3500, Karachi, Pakistan; 36.St Johns Res Inst, Community Hlth & Epidemiol, Bangalore 560034, Karnataka, India; 37.Dr Mohans Diabet Special Ctr, Chennai, Tamil Nadu, India; 38.Sree Chitra Tirunal Inst Med Sci & Technol, THIRUVANANTHAPURAM & Achutha Menon Ctr Hlth Sci S, Hlth Act People, Trivandrum 695011, Kerala, India; 39.Post Grad Inst Med Educ & Res, Sch Publ Hlth, Chandigarh, India; 40.Independent Univ, Dhaka, Bangladesh; 41.Fdn Oftalmol Santander FOSCAL, Floridablanca Santander, Colombia |
推荐引用方式 GB/T 7714 | Shupler, Matthew,39;Donnell, M.,39;Souza, R.. Household, community, sub-national and country-level predictors of primary cooking fuel switching in nine countries from the PURE study[J]. ENVIRONMENTAL RESEARCH LETTERS,2019,14(8). |
APA | Shupler, Matthew,39;Donnell, M.,&39;Souza, R..(2019).Household, community, sub-national and country-level predictors of primary cooking fuel switching in nine countries from the PURE study.ENVIRONMENTAL RESEARCH LETTERS,14(8). |
MLA | Shupler, Matthew,et al."Household, community, sub-national and country-level predictors of primary cooking fuel switching in nine countries from the PURE study".ENVIRONMENTAL RESEARCH LETTERS 14.8(2019). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论