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Witinok-Huber R, Keller KP, Abimana E, Ahishakiye C, Chang HH, L’Orange C, Manning DT, Mori R, Muhirwa EF, Muhongerwa L, Ntakirutimana T, Puzzolo E, Quinn C, Rosa G, Tanner K, Young BN, Zimmerle D, Kalisa E, Volckens J, Clark ML. Impact of randomly assigned "pay-as-you-go" liquefied petroleum gas prices on energy use for cooking: Experimental pilot evidence from rural Rwanda. ENERGY FOR SUSTAINABLE DEVELOPMENT : THE JOURNAL OF THE INTERNATIONAL ENERGY INITIATIVE 2024; 80:101455. [PMID: 38799418 PMCID: PMC11126215 DOI: 10.1016/j.esd.2024.101455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
The disease burden related to air pollution from traditional solid-fuel cooking practices in low- and middle-income countries impacts millions of people globally. Although the use of liquefied petroleum gas (LPG) fuel for cooking can meaningfully reduce household air pollution concentrations, major barriers, including affordability and accessibility, have limited widespread adoption. Using a randomized controlled trial, our objective was to evaluate the association between the cost and use of LPG among 23 rural Rwandan households. We provided a 2-burner LPG stove with accessories and incorporated a "pay-as-you-go" (PAYG) LPG service model that included fuel delivery. PAYG services remove the large up-front cost of cylinder refills by integrating "smart meter" technology that allows participants to pay in incremental amounts, as needed. We assigned three randomized discounted prices for LPG to each household at ~4-week intervals over a 12-week period. We modeled the relationship between randomized PAYG LPG price and use (standardized to monthly periods), analyzing effect modification by relative household wealth. A 1000 Rwandan Franc (about 1 USD at the time of the study) increase in LPG price/kg was associated with a 4.1 kg/month decrease in use (95% confidence interval [CI]: -6.7, -1.6; n=69 observations). Wealth modified this association; we observed a 9.7 kg/month reduction (95% CI: -14.8, -4.5) among wealthier households and a 2.5 kg/month reduction (95% CI: -5.3, 0.3) among lower-wealth households (p-interaction=0.01). The difference in price sensitivity was driven by higher LPG use among wealthier households at more heavily discounted prices; from an 80% to 10% discount, wealthy households used 17.5 to 5.3 kg/month and less wealthy households used 6.2 to 3.1 kg/month. Our pilot-level experimental evidence of PAYG LPG in a rural low-resource setting suggests that further exploration of subsidized pricing varied by household wealth is needed to ensure future policy initiatives can achieve targets without exacerbating inequities.
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Affiliation(s)
- Rebecca Witinok-Huber
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Kayleigh P. Keller
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | | | | | - Howard H. Chang
- Department of Statistics, Rollings School of Public Health, Emory University, Atlanta, GA, USA
| | - Christian L’Orange
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Dale T. Manning
- Department of Agricultural and Resource Economics, Colorado State University, Fort Collins, CO, USA
| | | | | | | | | | - Elisa Puzzolo
- Department of Public Health and Policy and Systems, University of Liverpool, Liverpool, UK
- Global LPG Partnership, New York, NY, USA
| | - Casey Quinn
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Ghislaine Rosa
- Department of Public Health and Policy and Systems, University of Liverpool, Liverpool, UK
| | - Ky Tanner
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Bonnie N. Young
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Daniel Zimmerle
- Energy Institute, Colorado State University, Fort Collins, CO, USA
| | - Egide Kalisa
- College of Science and Technology, Center of Excellence in Biodiversity and Natural Resource Management, University of Rwanda, Kigali, Rwanda
| | - John Volckens
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Maggie L. Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
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Zhen S, Li Q, Liao J, Zhu B, Liang F. Associations between Household Solid Fuel Use, Obesity, and Cardiometabolic Health in China: A Cohort Study from 2011 to 2018. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2826. [PMID: 36833523 PMCID: PMC9956243 DOI: 10.3390/ijerph20042826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/25/2023] [Accepted: 02/03/2023] [Indexed: 06/18/2023]
Abstract
This study aims to explore the longitudinal relationship between solid fuel use and CMD incidence based on a nationally representative follow-up cohort study. A total of 6038 participants of the China Health and Retirement Longitudinal Study (CHARLS) were enrolled in the study. CMD is a cluster of diseases that include heart disease, stroke, and type 2 diabetes. Cox proportional-hazards regression models were used to examine the association between solid fuel use and the incidence or multimorbidity of CMD. The interactions between overweight or obesity and household air pollution on CMD incidence were also investigated. In the present study, solid fuel use from cooking or heating, separately or simultaneously, was positively associated with CMD incidence. Elevated solid fuel use was significantly associated with a higher risk of CMD incidence (HR = 1.25, 95% CI: 1.09, 1.43 for cooking; HR = 1.27, 95% CI: 1.11, 1.45 for heating). A statistically significant interaction between household solid fuel and OW/OB on the incidence of CMD and Cardiometabolic multimorbidity was also observed (p < 0.05). Our findings show that household solid fuel is a risk factor for the incidence of CMD. Therefore, reducing household solid fuel use and promoting clean energy may have great public health value for the prevention of CMD.
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Affiliation(s)
- Shihan Zhen
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen 518055, China
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Qian Li
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Jian Liao
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Bin Zhu
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Fengchao Liang
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen 518055, China
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
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Witinok-Huber R, Clark ML, Volckens J, Young BN, Benka-Coker ML, Walker E, Peel JL, Quinn C, Keller JP. Effects of household and participant characteristics on personal exposure and kitchen concentration of fine particulate matter and black carbon in rural Honduras. ENVIRONMENTAL RESEARCH 2022; 214:113869. [PMID: 35820656 PMCID: PMC10696621 DOI: 10.1016/j.envres.2022.113869] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 06/10/2022] [Accepted: 07/06/2022] [Indexed: 06/15/2023]
Abstract
Traditional cooking with solid fuels (biomass, animal dung, charcoals, coal) creates household air pollution that leads to millions of premature deaths and disability worldwide each year. Exposure to household air pollution is highest in low- and middle-income countries. Using data from a stepped-wedge randomized controlled trial of a cookstove intervention among 230 households in Honduras, we analyzed the impact of household and personal variables on repeated 24-h measurements of fine particulate matter (PM2.5) and black carbon (BC) exposure. Six measurements were collected approximately six-months apart over the course of the three-year study. Multivariable mixed models explained 37% of variation in personal PM2.5 exposure and 49% of variation in kitchen PM2.5 concentrations. Additionally, multivariable models explained 37% and 47% of variation in personal and kitchen BC concentrations, respectively. Stove type, season, presence of electricity, primary stove location, kitchen enclosure type, stove use time, and presence of kerosene for lighting were all associated with differences in geometric mean exposures. Stove type explained the most variability of the included variables. In future studies of household air pollution, tracking the cooking behaviors and daily activities of participants, including outdoor exposures, may explain exposure variation beyond the household and personal variables considered here.
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Affiliation(s)
- Rebecca Witinok-Huber
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Maggie L Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - John Volckens
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Bonnie N Young
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | | | - Ethan Walker
- School of Public and Community Health Sciences, University of Montana, Missoula, MT, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Casey Quinn
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Joshua P Keller
- Department of Statistics, Colorado State University, Fort Collins, CO, USA.
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Young BN, Good N, Peel JL, Benka-Coker ML, Keller JP, Rajkumar S, Walker ES, Volckens J, L’Orange C, Quinn C, Africano S, Osorto Pinel AB, Clark ML. Reduced Black Carbon Concentrations following a Three-Year Stepped-Wedge Randomized Trial of the Wood-Burning Justa Cookstove in Rural Honduras. ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS 2022; 9:538-542. [PMID: 38037640 PMCID: PMC10688445 DOI: 10.1021/acs.estlett.2c00098] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
Introduction Household air pollution from cooking-related biomass combustion remains a leading risk factor for global health. Black carbon (BC) is an important component of particulate matter (PM) in household air pollution. We evaluated the impact of the engineered, wood-burning Justa stove intervention on BC concentrations. Methods We conducted a 3-year stepped-wedge randomized controlled trial with 6 repeated visits among 230 female primary cooks in rural Honduras. Participants used traditional stoves at baseline and were randomized to receive the Justa after visit 2 or after visit 4. At each visit, we measured 24-hour gravimetric personal and kitchen fine PM (PM2.5) concentrations and estimated BC mass concentrations (Sootscan Transmissometer). We conducted intent-to-treat analyses using linear mixed models with natural log-transformed 24-hour personal and kitchen BC. Results BC concentrations were reduced for households assigned to the Justa vs. traditional stoves: e.g., personal BC geometric mean (GSD), 3.6 μg/m3 (6.4) vs. 11.5 μg/m3 (4.6), respectively. Following the intervention, we observed 53% (95% CI: 35-65%) lower geometric mean personal BC concentrations and 76% (95% CI: 66-83%) lower geometric mean kitchen BC concentrations. Conclusions The Justa stove intervention substantially reduced BC concentrations, mitigating household air pollution and potentially benefitting human and climate health.
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Affiliation(s)
- Bonnie N. Young
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - Nicholas Good
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - Jennifer L. Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | | | - Joshua P. Keller
- Department of Statistics, Colorado State University, Fort Collins, CO, 80523, USA
| | - Sarah Rajkumar
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - Ethan S. Walker
- School of Public and Community Health Sciences, University of Montana, Missoula, MT, 59812, USA
| | - John Volckens
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, 80523, USA
| | - Christian L’Orange
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, 80523, USA
| | - Casey Quinn
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, 80523, USA
| | | | - Anibal B. Osorto Pinel
- Trees, Water & People, Fort Collins, CO, 80524, USA
- Asociación Hondureña para el Desarrollo, Tegucigalpa, Honduras
| | - Maggie L. Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
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Estimating long-term average household air pollution concentrations from repeated short-term measurements in the presence of seasonal trends and crossover. Environ Epidemiol 2022; 6:e188. [PMID: 35169666 PMCID: PMC8835562 DOI: 10.1097/ee9.0000000000000188] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 11/26/2021] [Indexed: 11/26/2022] Open
Abstract
Estimating long-term exposure to household air pollution is essential for quantifying health effects of chronic exposure and the benefits of intervention strategies. However, typically only a small number of short-term measurements are made. We compare different statistical models for combining these short-term measurements into predictions of a long-term average, with emphasis on the impact of temporal trends in concentrations and crossover in study design. We demonstrate that a linear mixed model that includes time adjustment provides the best predictions of long-term average, which have lower error than using household averages or mixed models without time, for a variety of different study designs and underlying temporal trends. In a case study of a cookstove intervention study in Honduras, we further demonstrate how, in the presence of strong seasonal variation, long-term average predictions from the mixed model approach based on only two or three measurements can have less error than predictions based on an average of up to six measurements. These results have important implications for the efficiency of designs and analyses in studies assessing the chronic health impacts of long-term exposure to household air pollution.
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Benka-Coker ML, Young BN, Keller JP, Walker ES, Rajkumar S, Volckens J, Good N, Quinn C, L'Orange C, Weller ZD, Africano S, Osorto Pinel AB, Peel JL, Clark ML. Impact of the wood-burning Justa cookstove on fine particulate matter exposure: A stepped-wedge randomized trial in rural Honduras. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 767:144369. [PMID: 33429278 PMCID: PMC7919923 DOI: 10.1016/j.scitotenv.2020.144369] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 11/04/2020] [Accepted: 12/04/2020] [Indexed: 05/31/2023]
Abstract
TRIAL DESIGN We evaluated the impact of a biomass stove intervention on fine particulate matter (PM2.5) concentrations using an individual-level, stepped-wedge randomized trial. METHODS We enrolled 230 women in rural Honduran households using traditional biomass stoves and randomly allocated them to one of two study arms. The Justa stove, the study intervention, was locally-sourced, wood-burning, and included an engineered combustion chamber and chimney. At each of 6 visits over 3 years, we measured 24-hour gravimetric personal and kitchen PM2.5 concentrations. Half of the households received the intervention after Visit 2 and half after Visit 4. We conducted intent-to-treat analyses to evaluate the intervention effect using linear mixed models with log-transformed kitchen or personal PM2.5 (separately) as the dependent variable, adjusting for time. We also compared PM2.5 concentrations to World Health Organization (WHO) guidelines. RESULTS Arms 1 and 2 each had 115 participants with 664 and 632 completed visits, respectively. Median 24-hour average personal PM2.5 exposures were 81 μg/m3 (25th-75th percentile: 50-141 μg/m3) for the traditional stove condition (n=622) and 43 μg/m3 (25th-75th percentile: 27-73 μg/m3) for the Justa stove condition (n=585). Median 24-hour average kitchen concentrations were 178 μg/m3 (25th-75th percentile: 69-440 μg/m3; n=629) and 53 μg/m3 (25th-75th percentile: 29-103 μg/m3; n=578) for the traditional and Justa stove conditions, respectively. The Justa intervention resulted in a 32% reduction in geometric mean personal PM2.5 (95% confidence interval [CI]: 20-43%) and a 56% reduction (95% CI: 46-65%) in geometric mean kitchen PM2.5. During rainy and dry seasons, 53% and 41% of participants with the Justa intervention had 24-hour average personal PM2.5 exposures below the WHO interim target-3 guideline (37.5 μg/m3), respectively. CONCLUSION The Justa stove intervention substantially lowered personal and kitchen PM2.5 and may be a provisional solution that is feasible for Latin American communities where cleaner fuels may not be available, affordable, or acceptable for some time. Clinicaltrials.gov: NCT02658383.
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Affiliation(s)
| | - Bonnie N Young
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Joshua P Keller
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Ethan S Walker
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; School of Public and Community Health Sciences, University of Montana, Missoula, MT, USA
| | - Sarah Rajkumar
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - John Volckens
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Nicholas Good
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Casey Quinn
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Christian L'Orange
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Zachary D Weller
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | | | - Anibal B Osorto Pinel
- Trees, Water & People, Fort Collins, CO, USA; Asociación Hondureña para el Desarrollo, Tegucigalpa, Honduras
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Maggie L Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.
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A hierarchical model for estimating the exposure-response curve by combining multiple studies of acute lower respiratory infections in children and household fine particulate matter air pollution. ACTA ACUST UNITED AC 2020; 4:e119. [PMID: 33778354 PMCID: PMC7941787 DOI: 10.1097/ee9.0000000000000119] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 09/15/2020] [Indexed: 11/25/2022]
Abstract
Adverse health effects of household air pollution, including acute lower respiratory infections (ALRIs), pose a major health burden around the world, particularly in settings where indoor combustion stoves are used for cooking. Individual studies have limited exposure ranges and sample sizes, while pooling studies together can improve statistical power. Methods We present hierarchical models for estimating long-term exposure concentrations and estimating a common exposure-response curve. The exposure concentration model combines temporally sparse, clustered longitudinal observations to estimate household-specific long-term average concentrations. The exposure-response model provides a flexible, semiparametric estimate of the exposure-response relationship while accommodating heterogeneous clustered data from multiple studies. We apply these models to three studies of fine particulate matter (PM2.5) and ALRIs in children in Nepal: a case-control study in Bhaktapur, a stepped-wedge trial in Sarlahi, and a parallel trial in Sarlahi. For each study, we estimate household-level long-term PM2.5 concentrations. We apply the exposure-response model separately to each study and jointly to the pooled data. Results The estimated long-term PM2.5 concentrations were lower for households using electric and gas fuel sources compared with households using biomass fuel. The exposure-response curve shows an estimated ALRI odds ratio of 3.39 (95% credible interval = 1.89, 6.10) comparing PM2.5 concentrations of 50 and 150 μg/m3 and a flattening of the curve for higher concentrations. Conclusions These flexible models can accommodate additional studies and be applied to other exposures and outcomes. The studies from Nepal provides evidence of a nonlinear exposure-response curve that flattens at higher concentrations.
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Benka-Coker ML, Peel JL, Volckens J, Good N, Bilsback KR, L'Orange C, Quinn C, Young BN, Rajkumar S, Wilson A, Tryner J, Africano S, Osorto AB, Clark ML. Kitchen concentrations of fine particulate matter and particle number concentration in households using biomass cookstoves in rural Honduras. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 258:113697. [PMID: 31875572 PMCID: PMC7068841 DOI: 10.1016/j.envpol.2019.113697] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 10/21/2019] [Accepted: 11/29/2019] [Indexed: 06/10/2023]
Abstract
Cooking and heating with solid fuels results in high levels of household air pollutants, including particulate matter (PM); however, limited data exist for size fractions smaller than PM2.5 (diameter less than 2.5 μm). We collected 24-h time-resolved measurements of PM2.5 (n = 27) and particle number concentrations (PNC, average diameter 10-700 nm) (n = 44; 24 with paired PM2.5 and PNC) in homes with wood-burning traditional and Justa (i.e., with an engineered combustion chamber and chimney) cookstoves in rural Honduras. The median 24-h PM2.5 concentration (n = 27) was 79 μg/m3 (interquartile range [IQR]: 44-174 μg/m3); traditional (n = 15): 130 μg/m3 (IQR: 48-250 μg/m3); Justa (n = 12): 66 μg/m3 (IQR: 44-97 μg/m3). The median 24-h PNC (n = 44) was 8.5 × 104 particles (pt)/cm3 (IQR: 3.8 × 104-1.8 × 105 pt/cm3); traditional (n = 27): 1.3 × 105 pt/cm3 (IQR: 3.3 × 104-2.0 × 105 pt/cm3); Justa (n = 17): 6.3 × 104 pt/cm3 (IQR: 4.0 × 104-1.2 × 105 pt/cm3). The 24-h average PM2.5 and particle number concentrations were correlated for the full sample of cookstoves (n = 24, Spearman ρ: 0.83); correlations between PM2.5 and PNC were higher in traditional stove kitchens (n = 12, ρ: 0.93) than in Justa stove kitchens (n = 12, ρ: 0.67). The 24-h average concentrations of PM2.5 and PNC were also correlated with the maximum average concentrations during shorter-term averaging windows of one-, five-, 15-, and 60-min, respectively (Spearman ρ: PM2.5 [0.65, 0.85, 0.82, 0.71], PNC [0.74, 0.86, 0.88, 0.86]). Given the moderate correlations observed between 24-h PM2.5 and PNC and between 24-h and the shorter-term averaging windows within size fractions, investigators may need to consider cost-effectiveness and information gained by measuring both size fractions for the study objective. Further evaluations of other stove and fuel combinations are needed.
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Affiliation(s)
- Megan L Benka-Coker
- Department of Health Sciences, Gettysburg College, 300 North Washington Street, Campus Box 432, Gettysburg, PA, 17325, USA; Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - John Volckens
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, 80523, USA
| | - Nicholas Good
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, 80523, USA
| | - Kelsey R Bilsback
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, 80523, USA
| | - Christian L'Orange
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, 80523, USA
| | - Casey Quinn
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, 80523, USA
| | - Bonnie N Young
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - Sarah Rajkumar
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, 80523, USA
| | - Jessica Tryner
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, 80523, USA
| | - Sebastian Africano
- Trees, Water & People, 633 Remington Street, Fort Collins, CO, 80524, USA
| | - Anibal B Osorto
- Asociación Hondureña para el Desarrollo, Tegucigalpa, Honduras
| | - Maggie L Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
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