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Hughes F, Parsons L, Levy JH, Shindell D, Alhanti B, Ohnuma T, Kasibhatla P, Montgomery H, Krishnamoorthy V. Impact of Wildfire Smoke on Acute Illness. Anesthesiology 2024; 141:779-789. [PMID: 39105660 DOI: 10.1097/aln.0000000000005115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/07/2024]
Abstract
Climate change increases wildfire smoke exposure. Inhaled smoke causes inflammation, oxidative stress, and coagulation, which exacerbate cardiovascular and respiratory disease while worsening obstetric and neonatal outcomes.
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Affiliation(s)
- Fintan Hughes
- Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina
| | - Luke Parsons
- Global Science, Nature Conservancy and Nicholas School of the Environment, Duke University, Durham, North Carolina
| | - Jerrold H Levy
- Departments of Anesthesiology and Surgery (Cardiothoracic), Duke University School of Medicine, Durham, North Carolina
| | - Drew Shindell
- Nicholas School of the Environment, Duke University, Durham, North Carolina
| | - Brooke Alhanti
- Duke Clinical Research Institute, Duke University, Durham, North Carolina
| | - Tetsu Ohnuma
- Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina
| | - Prasad Kasibhatla
- Nicholas School of the Environment, Duke University, Durham, North Carolina
| | - Hugh Montgomery
- Department of Intensive Care Medicine, University College London, London, United Kingdom
| | - Vijay Krishnamoorthy
- Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina
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Deng Y, Steenland K, Sinharoy SS, Peel JL, Ye W, Pillarisetti A, Eick SM, Chang HH, Wang J, Chen Y, Young BN, Clark ML, Barr DB, Clasen On Behalf Of The Hapin Investigators TF. Association of household air pollution exposure and anemia among pregnant women: Analysis of baseline data from 'Household Air Pollution Intervention Network (HAPIN)' trial. ENVIRONMENT INTERNATIONAL 2024; 190:108815. [PMID: 38889623 PMCID: PMC11365361 DOI: 10.1016/j.envint.2024.108815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 05/13/2024] [Accepted: 06/10/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Anemia is common in low- and middle-income countries (LMICs), causing significant health issues and social burdens. Exposure to household air pollution from using biomass fuels for cooking and heating has been associated with anemia, but the exposure-response association has not been studied. OBJECTIVES We evaluated the associations between personal exposure to air pollution and both hemoglobin levels and anemia prevalence among pregnant women in a multi-country randomized controlled trial. METHODS We studied 3,163 pregnant women aged 18-35 years with 9-20 weeks of gestation, recruited as part of the Household Air Pollution Intervention Network (HAPIN) randomized controlled trial in Guatemala, India, Peru, and Rwanda. We assessed 24-hour personal exposures to fine particulate matter (PM2.5), black carbon (BC), and carbon monoxide (CO), and measured hemoglobin levels at baseline (15 ± 3 weeks gestation). Linear and logistic regression models were used to examine the associations of measured pollutants with hemoglobin levels and anemia prevalence, adjusting for confounding. RESULTS Single-pollutant models showed associations of CO with higher hemoglobin levels and lower anemia prevalence. Bipollutant models involving CO and PM2.5 also revealed that an interquartile range (IQR) increase in CO concentrations (2.26 ppm) was associated with higher hemoglobin levels [β = 0.04; 95 % confidence interval (CI): 0.01, 0.07], and a lower odds of anemia prevalence [odds ratios (OR) = 0.90; 95 % CI: 0.83, 0.98]. PM2.5 was inversely related to hemoglobin and positively associated with anemia, but results were not statistically significant at the 0.05 alpha level. County-specific results showed that 3 of 4 countries showed a similar association between CO and hemoglobin. We found no association of BC levels with hemoglobin levels or with anemia prevalence. CONCLUSION Our findings suggest that exposure to CO is associated with higher hemoglobin and lower anemia prevalence among pregnant women, whereas PM2.5 showed the opposite associations.
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Affiliation(s)
- Yanling Deng
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Sheela S Sinharoy
- Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Wenlu Ye
- Division of Environmental Health Sciences, University of California at Berkeley, Berkeley, CA, USA
| | - Ajay Pillarisetti
- Division of Environmental Health Sciences, University of California at Berkeley, Berkeley, CA, USA
| | - Stephanie M Eick
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Howard H Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jiantong Wang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Yunyun Chen
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Bonnie N Young
- 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
| | - Dana Boyd Barr
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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Kunzi H, Sanga E, Ngallaba S, PrayGod G. Community Perceptions on Health Conditions Related to Indoor Air Pollution Among Adults Living in Urban Informal Settlements in Mwanza City, Tanzania. East Afr Health Res J 2024; 8:52-57. [PMID: 39234336 PMCID: PMC11371020 DOI: 10.24248/eahrj.v8i1.748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 03/11/2024] [Indexed: 09/06/2024] Open
Abstract
Introduction Indoor Air Pollution (IAP) from biomass fuel is one of the major health threats globally. There is limited data on community awareness and perceptions of health conditions associated with IAP in urban informal settlements in sub-Saharan Africa. We explored community perceptions of IAP-associated health conditions, risk behaviors, and potential interventions to reduce IAP in urban informal settlements. Methods We used purposive sampling to recruit participants from households located in Mwanza urban informal settlements. We conducted 16 In-depth Interviews (IDIs), two Focused Group Discussions (FGDs), and four Key Informant Interviews (KIIs). Obtained data were then transcribed, translated, coded and analyzed thematically with Dedoose qualitative data analysis software. Results Majority of participants were unaware of the health conditions associated with IAP. Participants perceived biomass fuel from charcoal as a safe fuel compared to other known fuels (firewood and gas). Indoor biomass fuel use for cooking and use of rubber and plastic materials for fire lighting were the commonly practices and risk behaviors for IAP. Moreover, poverty is what guides the choice of fuel use for cooking. Conclusion Participants awareness health effects of biomass fuel was low, strategies to reduce poverty and health promotion on the health effects of IAP are urgently needed in the Mwanza urban informal settlements.
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Affiliation(s)
- Happyness Kunzi
- Clinical Research Programme, Mwanza Research Centre, National Institute for Medical Research, Mwanza, Mwanza, Tanzania
| | - Erica Sanga
- Clinical Research Programme, Mwanza Research Centre, National Institute for Medical Research, Mwanza, Mwanza, Tanzania
| | - Sospatro Ngallaba
- Department of Epidemiology, Behavioural Sciences and Biostatistics, School of Public Health, Catholic University of Health and Allied Sciences, Mwanza, Tanzania
| | - George PrayGod
- Clinical Research Programme, Mwanza Research Centre, National Institute for Medical Research, Mwanza, Mwanza, Tanzania
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Liu Y, Shao J, Liu Q, Zhou W, Huang R, Zhou J, Ning N, Tang X, Ma Y. Association between household fuel combustion and diabetes among middle-aged and older adults in China: A cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 258:114974. [PMID: 37150109 DOI: 10.1016/j.ecoenv.2023.114974] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 04/23/2023] [Accepted: 04/30/2023] [Indexed: 05/09/2023]
Abstract
BACKGROUND Few studies examined the associations of household fuel combustion with incident diabetes. The current study emphasizes the association of domestic fuel combustion with diabetes among middle- and older- Chinese. METHODS The data was extracted from a national and prospective cohort, the China Health and Retirement Longitudinal Study (CHARLS), which enrolled adults ≥ 45 years. A total of 4610 and 5570 participants were involved in heating and cooking-related analyses. Multivariable logistic models were conducted to assess the association of domestic fuel combustion for heating and cooking with diabetes. Furthermore, we also examined whether it differed from switching fuel types. Subgroup and interaction analyses were performed based on covariates to examine the robustness and find potential effect modifiers. RESULTS After about 5-year follow-up, 592 and 716 diabetes were diagnosed in heating and cooking-related analyses. Compared to cleaner fuel users, those who used solid fuel for heating [OR (95 % CI):1.32 (1.05-1.66)] maintained higher risks of incident diabetes. In addition, participants who were exposed to solid fuel for both heating and cooking [OR (95 % CI):1.55 (1.17-2.06)] might have further elevated diabetic risk. Those risks are likely to be attenuated if people switched cooking fuel from solid to cleaner [OR (95 % CI): 0.68 (0.53-0.89)]. CONCLUSIONS Home solid fuel use for heating is associated with an increased risk of incident diabetes. If solid fuel was concurrently used for both cooking and heating, those risks might be further elevated. Interestingly, as compared to solid fuel users, the participants switching cooking fuel types from solid to cleaner presented reduced diabetic risk.
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Affiliation(s)
- Yang Liu
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
| | - Jinang Shao
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
| | - Qitong Liu
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
| | - Wenhui Zhou
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
| | - Rong Huang
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
| | - Jin Zhou
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
| | - Ning Ning
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
| | - Xiao Tang
- Department of Health Statistics, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.
| | - Yanan Ma
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.
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Mei Y, Li A, Zhao J, Zhou Q, Zhao M, Xu J, Li R, Li Y, Li K, Ge X, Guo C, Wei Y, Xu Q. Association of long-term air pollution exposure with the risk of prediabetes and diabetes: Systematic perspective from inflammatory mechanisms, glucose homeostasis pathway to preventive strategies. ENVIRONMENTAL RESEARCH 2023; 216:114472. [PMID: 36209785 DOI: 10.1016/j.envres.2022.114472] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 08/29/2022] [Accepted: 09/28/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Limited evidence suggests the association of air pollutants with a series of diabetic cascades including inflammatory pathways, glucose homeostasis disorder, and prediabetes and diabetes. Subclinical strategies for preventing such pollutants-induced effects remain unknown. METHODS We conducted a cross-sectional study in two typically air-polluted Chinese cities in 2018-2020. One-year average PM1, PM2.5, PM10, SO2, NO2, and O3 were calculated according to participants' residence. GAM multinomial logistic regression was performed to investigate the association of air pollutants with diabetes status. GAM and quantile g-computation were respectively performed to investigate individual and joint effects of air pollutants on glucose homeostasis markers (glucose, insulin, HbA1c, HOMA-IR, HOMA-B and HOMA-S). Complement C3 and hsCRP were analyzed as potential mediators. The ABCS criteria and hemoglobin glycation index (HGI) were examined for their potential in preventive strategy. RESULTS Long-term air pollutants exposure was associated with the risk of prediabetes [Prevalence ratio for O3 (PR_O3) = 1.96 (95% CI: 1.24, 3.03)] and diabetes [PR_PM1 = 1.18 (95% CI: 1.05, 1.32); PR_PM2.5 = 1.08 (95% CI: 1.00, 1.16); PR_O3 = 1.35 (95% CI: 1.03, 1.74)]. PM1, PM10, SO2 or O3 exposure was associated with glucose-homeostasis disorder. For example, O3 exposure was associated with increased levels of glucose [7.67% (95% CI: 1.75, 13.92)], insulin [19.98% (95% CI: 4.53, 37.72)], HOMA-IR [34.88% (95% CI: 13.81, 59.84)], and decreased levels of HOMA-S [-25.88% (95% CI: -37.46, -12.16)]. Complement C3 and hsCRP played mediating roles in these relationships with proportion mediated ranging from 6.95% to 60.64%. Participants with HGI ≤ -0.53 were protected from the adverse effects of air pollutants. CONCLUSION Our study provides comprehensive insights into air pollutant-associated diabetic cascade and suggests subclinical preventive strategies.
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Affiliation(s)
- Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Runkui Li
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yanbing Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Xiaoyu Ge
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Chen Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing, 100012, China
| | - Yongjie Wei
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing, 100012, China.
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
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Zhang X, Yan G, Feng Q, Razzaq A, Abbas A. Ecological Sustainability and Households' Wellbeing: Linking Households' Non-Traditional Fuel Choices with Reduced Depression in Rural China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15639. [PMID: 36497713 PMCID: PMC9741401 DOI: 10.3390/ijerph192315639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 11/19/2022] [Accepted: 11/22/2022] [Indexed: 06/17/2023]
Abstract
A sustainable and pleasant environment is deemed to offer various positive externalities such as scenic, visual and behavioral archetypes and patterns exhibiting in various forms. Such a scenario can significantly relieve households from many psychological and personal complications such as depression. Depression has aroused great concerns in recent years due to its personal and social burdens and unforeseeable damage. Many studies have explored the effects of air pollution caused by traditional fuel consumption on depression. However, limited evidence is available on how household non-traditional fuel choices affect depression. Based on a nationally representative dataset collected from China Family Panel Studies (CFPS) in 2012, this paper employs an endogenous switching regression (ESR) model and an endogenous switching probit (ESP) model to address the endogenous issue and to estimate the treatment effects of non-traditional fuel choices on depression in rural China. The empirical results show that non-traditional fuel users have significantly lower Epidemiologic Studies Depression Scale (CES-D) scores, indicating non-traditional fuel users face a lower risk of depression. Compared to solid fuels, employing non-traditional fuels will lead to a 3.659 reduction in depression score or decrease the probability of depression by 8.2%. In addition, the results of the mechanism analysis show that household non-traditional fuel choices affect depression by reducing the probability of physical discomfort and chronic disease. This study provides new insight into understanding the impact of air pollution in the house on depression and how to avoid the risk of depression in rural China effectively.
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Affiliation(s)
- Xiaoheng Zhang
- College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
| | - Guiquan Yan
- College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China
| | - Qipei Feng
- College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
| | - Amar Razzaq
- Business School, Huanggang Normal University, No. 146 Xingang 2nd Road, City Development Zone, Huanggang 438000, China
| | - Azhar Abbas
- Institute of Agricultural and Resource Economics, University of Agriculture, Faisalabad 38040, Pakistan
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Li N, Su W, Wang H, Guo X, Liang Q, Song Q, Liang M, Ding X, Sun C, Lowe S, Bentley R, Zhou Z, Li Y, Sun Y. Association between solid fuel combustion and diabetes mellitus: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:78165-78177. [PMID: 36181591 DOI: 10.1007/s11356-022-23299-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 09/23/2022] [Indexed: 06/16/2023]
Abstract
In recent years, many epidemiological studies have investigated the relationship between solid fuel combustion and diabetes mellitus (DM). This meta-analysis was performed to explore the potential association between solid fuel combustion and DM. A comprehensive literature search was conducted to identify all relevant studies published prior to January 14, 2022. The pooled odds ratios (OR) with 95% confidence intervals (CI) were used to estimate the effect of solid fuel combustion on DM. The I square value (I2) was used to assess heterogeneity. Due to the heterogeneity of the studies (I2 = 66.70%), a random-effect model was used as the pooling method. A total of 9 articles (10 available datasets) were used for this systematic review and meta-analysis, involving 45,620 study subjects. The results of the meta-analysis showed a statistically positive relationship between household solid fuel combustion and the risk of DM (OR = 1.46, 95% CI = 1.09-1.97). Subgroup analysis based on fuel type revealed a statistically significant association in the mixed solid fuel group (OR = 2.03, 95% CI = 1.59-2.59), but not in the single biomass group (OR = 1.04, 95% CI = 0.73-1.49). This meta-analysis suggests that solid fuel combustion may be associated with an increased risk of DM.
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Affiliation(s)
- Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Wanying Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Hao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Anhui Provincial Children's Hospital/Children's Hospital of Anhui Medical University, Hefei, 230051, Anhui, People's Republic of China
| | - Qiuxia Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Xiuxiu Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Chenyu Sun
- Internal Medicine, AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA
| | - Scott Lowe
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Rachel Bentley
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Zhen Zhou
- Menzies Institute for Medical Research, University of Tasmania, TAS, 17 Liverpool Street, Hobart, 7000, Australia
| | - Yaru Li
- College of Osteopathic Medicine, Des Moines University, 3200 Grand Ave, Des Moines, IA, 50312, USA
- Internal Medicine, Swedish Hospital, 5140 N California Ave, Chicago, IL, 60625, USA
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China.
- Chaohu Hospital, Anhui Medical University, Hefei, 238000, Anhui, People's Republic of China.
- Center for Evidence-Based Practice, Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China.
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Physical activity attenuates the association between household air pollution and health-related quality of life in Chinese rural population: the Henan Rural Cohort Study. Qual Life Res 2022; 31:3165-3175. [DOI: 10.1007/s11136-022-03195-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/02/2022] [Indexed: 10/15/2022]
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Wang K, Zhang Y, Wang Y, Liu J, Zhou P, Yuan Y, Yin Z, Mo S, Yu Y, Peng M. Secular trends in global burden of diabetes attributable to particulate matter pollution from 1990 to 2019. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:52844-52856. [PMID: 35277821 DOI: 10.1007/s11356-022-19510-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/25/2022] [Indexed: 06/14/2023]
Abstract
Increasing evidence suggests an association between fine particulate matter (PM2.5) exposure and type 2 diabetes mellitus. However, there is still a lack of comparative evaluation regarding diabetes burden due to ambient and indoor PM2.5 pollution at a global scale. This study attempts to provide a systematic and comprehensive profile for PM2.5-attributable burden of diabetes and its spatiotemporal trends, globally and regionally. Comparative estimates of diabetes attributable to ambient PM2.5 and household air pollution (HAP) from solid fuels for 204 countries and territories were derived from the Global Burden of Disease Study 2019. Globally, 292.5 (95% uncertainty interval: 207.1, 373.4) thousand deaths and 13.0 (9.1, 17.2) million disability-adjusted life years (DALYs) from diabetes were attributed to PM2.5 pollution in 2019, wherein more than two-thirds (67.3% deaths and 69.7% DALYs) were contributed by ambient PM2.5. Compared to 1990, age-standardized DALY rate (ASDR) in 2019 attributable to ambient PM2.5 increased by 85.9% (APC: 2.21% [2.15, 2.27]), while HAP-associated ASDR decreased by 37.9% (APC: - 1.66% [- 1.82, - 1.50]). We observed a negative correlation between SDI and APC in ASMR (rs = - 0.5, p < 0.001) and ASDR (rs = -0.4, p < 0.001) among 204 countries and territories. HAP-related diabetes experienced a sharp decline during 1990-2019, while global burden of diabetes attributable to ambient PM2.5 was rising rapidly. The elderly and people in low-SDI countries suffered from the greatest burden of diabetes due to PM2.5 pollution. More targeted interventions should be taken by governments to reduce PM2.5 exposure and related diabetes burden.
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Affiliation(s)
- Kai Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yaqi Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Jiaxin Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Peixuan Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yang Yuan
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Zhouxin Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Shaocai Mo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yong Yu
- Department of Infection Control, Shiyan Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, China
- School of Public Health, Hubei University of Medicine, Shiyan, 442000, China
| | - Minjin Peng
- Department of Infection Control, Shiyan Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, China.
- School of Public Health, Hubei University of Medicine, Shiyan, 442000, China.
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Liu T, Cao L, Lv P, Bai S. Associations between household solid fuel use and hearing loss in a Chinese population: A population-based prospective cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 236:113506. [PMID: 35421824 DOI: 10.1016/j.ecoenv.2022.113506] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 04/04/2022] [Accepted: 04/07/2022] [Indexed: 06/14/2023]
Abstract
Hearing loss, a common chronic condition, severely affects the quality of human life. However, the longitudinal relationships between household solid fuel use and hearing loss are unclear. To explore the associations between household solid fuel use and hearing loss in a Chinese population. There were 8835 participants enrolled in this prospective cohort study. Hearing function was assessed by asking the following self-reported question. Cox proportional hazards regression models were used to examine the relationships between baseline household solid fuel use and hearing loss incidence. After 6 (range, 2-7) years of follow-up, 1654 (18.72%) of 8835 participants developed hearing loss. This study demonstrated that increasing baseline solid fuel exposure was associated with a higher rate of poor hearing function (P for trend < 0.01). Compared with the clean fuel group (both cooking and heating), the hazard ratios (HR) (95% confidence intervals) of poor hearing function for the solid fuel group (cooking or heating) and both solid fuel groups (both cooking and heating) were 1.17 (1.01, 1.37) and 1.26 (1.09, 1.45) after adjustments, respectively. In subgroup analysis of household energy sources, the use of solid fuels for both heating (HR, 1.21; 1.07, 1.37) and cooking (HR, 1.12; 1.01, 1.26) was related to a higher incidence of poor hearing function. In subgroup analysis of place of residence, more solid fuel use was associated with a higher rate of poor hearing function in urban communities (HR, 1.39; 1.12, 1.74) but not in rural villages (HR, 1.18; 0.97, 1.45). Moreover, compared with the population that used solid fuel for cooking at both baseline and follow-up, those who switched from solid to clean fuel had a lower risk of developing poor hearing function (HR, 0.54, 0.46-0.63). This study demonstrates that household solid fuel use is closely associated with poor hearing function. Programs that educate individuals on the effects of household fuel use on hearing function should be established, especially in urban communities.
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Affiliation(s)
- Tiancong Liu
- Department of Otolaryngology Head and Neck Surgery, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Limin Cao
- The Third Central Hospital of Tianjin, Tianjin, China.
| | - Peng Lv
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
| | - Song Bai
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
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11
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Zheng XY, Ma SL, Guan WJ, Xu YJ, Tang SL, Zheng YJ, Liao TT, Li C, Meng RL, Zeng ZP, Lin LF. Impact of polluting fuels for cooking on diabetes mellitus and glucose metabolism in south urban China. INDOOR AIR 2022; 32:e12960. [PMID: 34796997 DOI: 10.1111/ina.12960] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 11/01/2021] [Accepted: 11/06/2021] [Indexed: 05/26/2023]
Abstract
We hypothesized that exposure to polluting fuels for cooking was associated with abnormality of glucose metabolism and diabetes mellitus (DM) in south urban China. 3414 residents were surveyed in 14 urban areas of Guangdong Province in 2018. We recorded polluting fuels for cooking exposure, different DM status (DM, prediabetes), fasting blood glucose (FBG), oral glucose tolerance test (OGTT), glycated hemoglobin (HbA1c ), and other covariates by using a structured questionnaire. We conducted logistic regression model and multivariate linear regression model based on propensity-score method (inverse probability of weighting) to examine the effect of polluting fuels for cooking exposure on DM and glucose metabolism. Exposure to polluting fuels for cooking was associated with DM (odds ratio: 2.57, 95% confidence interval: 1.71 to 3.86) and prediabetes (odds ratio: 1.98, 95% confidence interval: 1.52 to 2.58) in both the adjusted and unadjusted models (all p < 0.05). Exposure to polluting fuels for cooking was significantly associated with an increase of FBG (β: 0.30 mmol/L, 95% confidence interval: 0.22 to 0.38 mmol/L). Sensitivity analysis showed that the results were not substantially changed. There was an increased risk of DM, prediabetes and high levels of FBG, OGTT, and HbA1c among participants aged ≥ 40 years with exposure to polluting fuels for cooking. We demonstrated that exposure to polluting fuels for cooking was associated with higher levels of FBG, which contributed to the increased risk of DM and prediabetes in middle-aged elderly Chinese population living in urban areas.
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Affiliation(s)
- Xue-Yan Zheng
- Guangdong provincial center for disease control and prevention, Guangdong, China
| | - Shu-Li Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Wei-Jie Guan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
- Department of Thoracic Surgery, Guangzhou Institute for Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yan-Jun Xu
- Guangdong provincial center for disease control and prevention, Guangdong, China
| | - Si-Li Tang
- School of Public Health, Southern Medical University, Guangzhou, China
| | - Yi-Jin Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | | | - Chuan Li
- Guangdong provincial center for disease control and prevention, Guangdong, China
| | - Rui-Lin Meng
- Guangdong provincial center for disease control and prevention, Guangdong, China
| | - Zhuan-Ping Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Li-Feng Lin
- Guangdong provincial center for disease control and prevention, Guangdong, China
- School of Public Health, Southern Medical University, Guangzhou, China
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12
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Safiri S, Karamzad N, Kaufman JS, Bell AW, Nejadghaderi SA, Sullman MJM, Moradi-Lakeh M, Collins G, Kolahi AA. Prevalence, Deaths and Disability-Adjusted-Life-Years (DALYs) Due to Type 2 Diabetes and Its Attributable Risk Factors in 204 Countries and Territories, 1990-2019: Results From the Global Burden of Disease Study 2019. Front Endocrinol (Lausanne) 2022; 13:838027. [PMID: 35282442 PMCID: PMC8915203 DOI: 10.3389/fendo.2022.838027] [Citation(s) in RCA: 89] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 01/17/2022] [Indexed: 12/23/2022] Open
Abstract
AIM To report the point prevalence, deaths and disability-adjusted-life-years (DALYs) due to type 2 diabetes and its attributable risk factors in 204 countries and territories during the period 1990-2019. METHODS We used the data of the Global Burden of Disease (GBD) Study 2019 to report number and age-standardised rates per 100 000 population of type 2 diabetes. Estimates were reported with 95% uncertainty intervals (UIs). RESULTS In 2019, the global age-standardised point prevalence and death rates for type 2 diabetes were 5282.9 and 18.5 per 100 000, an increase of 49% and 10.8%, respectively, since 1990. Moreover, the global age-standardised DALY rate in 2019 was 801.5 per 100 000, an increase of 27.6% since 1990. In 2019, the global point prevalence of type 2 diabetes was slightly higher in males and increased with age up to the 75-79 age group, decreasing across the remaining age groups. American Samoa [19876.8] had the highest age-standardised point prevalence rates of type 2 diabetes in 2019. Generally, the burden of type 2 diabetes decreased with increasing SDI (Socio-demographic Index). Globally, high body mass index [51.9%], ambient particulate matter pollution [13.6%] and smoking [9.9%] had the three highest proportions of attributable DALYs. CONCLUSION Low and middle-income countries have the highest burden and greater investment in type 2 diabetes prevention is needed. In addition, accurate data on type 2 diabetes needs to be collected by the health systems of all countries to allow better monitoring and evaluation of population-level interventions.
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Affiliation(s)
- Saeid Safiri
- Social Determinants of Health Research Center, Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
- Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
- *Correspondence: Saeid Safiri, ; Ali-Asghar Kolahi,
| | - Nahid Karamzad
- Nutrition Research Center, Department of Biochemistry and Diet Therapy, School of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Jay S. Kaufman
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Arielle Wilder Bell
- Health Sciences Integrated Program, Northwestern University, Chicago, IL, United States
- Department of Global Health and Social Medicine, Harvard University, Boston, MA, United States
| | - Seyed Aria Nejadghaderi
- Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
- Systematic Review and Meta-analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Mark J. M. Sullman
- Department of Life and Health Sciences, University of Nicosia, Nicosia, Cyprus
- Department of Social Sciences, University of Nicosia, Nicosia, Cyprus
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Gary Collins
- Centre for Statistics in Medicine, NDORMS, Botnar Research Centre, University of Oxford, Oxford, United Kingdom
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Ali-Asghar Kolahi
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- *Correspondence: Saeid Safiri, ; Ali-Asghar Kolahi,
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13
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Zheng XY, Tang SL, Guan WJ, Ma SL, Li C, Xu YJ, Meng RL, Lin LF. Exposure to biomass fuel is associated with high blood pressure and fasting blood glucose impairment in females in southern rural China. ENVIRONMENTAL RESEARCH 2021; 199:111072. [PMID: 33812878 DOI: 10.1016/j.envres.2021.111072] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 03/16/2021] [Accepted: 03/19/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVES We sought to investigate the association between household exposure to biomass fuel and metabolic syndrome (MetS) and its components including blood pressure, triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), fasting blood glucose (FBG) and waist circumference among females in southern rural China. METHODS We surveyed 1664 residents in the Chronic Disease and Risk Factors Surveillance, conducted in 14 districts of Guangdong province. We recorded the use of biomass fuel, MetS and its components, and other covariates by using a structured questionnaire. Logistic regression model and multivariate linear regression model were adopted for analysis. RESULTS Exposure to biomass fuel was significantly associated with an increase of systolic blood pressure (SBP) (β: 2.15, 95% confidence interval: 0.13 to 4.17) and FBG (β: 0.19, 95% confidence interval: 0.01 to 0.37) in the adjusted and unadjusted models (all P < 0.05). Among participants with exposure to biomass fuel, being overweight or obese was associated with an increased risk of having hypertension (odds ratio: 3.19, 95% confidence interval: 2.13 to 4.76) and higher FBG levels (odds ratio: 2.10, 95% confidence interval: 1.46 to 3.02). Exposure to biomass fuel was significantly associated with a decrease of the prevalence of central obesity (P < 0.05). However, exposure to biomass fuel was not associated with MetS, diastolic blood pressure and TG (all P > 0.05). CONCLUSIONS Exposure to biomass fuel is associated with an increase in blood pressure and FBG levels, but not MetS per se. Efforts should be made to protect females in southern rural China from the adverse effects associated with biomass fuel pollution.
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Affiliation(s)
- Xue-Yan Zheng
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong, China
| | - Si-Li Tang
- School of Public Health, Southern Medical University, Guangzhou, China
| | - Wei-Jie Guan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, China
| | - Shu-Li Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Chuan Li
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong, China
| | - Yan-Jun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong, China
| | - Rui-Lin Meng
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong, China.
| | - Li-Feng Lin
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong, China.
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14
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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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15
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Shao J, Ge T, Liu Y, Zhao Z, Xia Y. Longitudinal associations between household solid fuel use and depression in middle-aged and older Chinese population: A cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 209:111833. [PMID: 33360785 DOI: 10.1016/j.ecoenv.2020.111833] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 12/10/2020] [Accepted: 12/18/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Previous studies found that ambient air pollution was associated with a higher prevalence of depressive symptoms. However, the longitudinal associations between household solid fuel use, which is the main source of household air pollution, and depressive symptoms remain unclear. This cohort study aimed to explore the associations between household solid fuel use and incidence of depressive symptoms in China. METHODS In total, 8637 participants were enrolled in this prospective cohort study. Depressive symptoms were assessed using the 10-item Center for Epidemiological Studies Depression Scale. The associations between baseline household solid fuel use and the incidence of depressive symptoms were examined using Cox proportional hazards regression models. RESULTS During the 4-year of follow-up, 2074 of 8637 participants developed depressive symptoms. Compared with participants who used clean fuel for both heating and cooking, the multivariate-adjusted hazard ratio (HR) (95% confidence intervals [95% CI]) for depressive symptoms incidence in participants who used solid fuels for two purposes (cooking and heating) was 1.15 (1.01, 1.31). In the solid fuel use subgroup analysis, use of solid fuels for cooking (HR, 1.12; 95% CI, 1.02-1.24) was associated with a higher incidence of depressive symptoms after adjustments while use for heating (HR, 1.05; 95% CI, 0.93-1.18) was not. Moreover, compared with persistent solid fuel users, switching from solid to clean fuels for cooking resulted in a lower risk of depressive symptoms before adjustments (HR, 0.82; 95% CI, 0.71-0.95) and a non-significant association (HR, 0.90; 95% CI, 0.77-1.04) afterwards. CONCLUSIONS The results suggest that household solid fuel use for cooking was associated with a higher incidence of depressive symptoms. Preventive strategies based on improving household cooking environment for depressive symptoms should be established.
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Affiliation(s)
- Junwei Shao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Tiantian Ge
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yashu Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Zhiying Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
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16
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Alves C, Vicente A, Oliveira AR, Candeias C, Vicente E, Nunes T, Cerqueira M, Evtyugina M, Rocha F, Almeida SM. Fine Particulate Matter and Gaseous Compounds in Kitchens and Outdoor Air of Different Dwellings. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17145256. [PMID: 32708187 PMCID: PMC7399806 DOI: 10.3390/ijerph17145256] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 07/13/2020] [Accepted: 07/16/2020] [Indexed: 12/14/2022]
Abstract
Passive diffusion tubes for volatile organic compounds (VOCs) and carbonyls and low volume particulate matter (PM2.5) samplers were used simultaneously in kitchens and outdoor air of four dwellings. PM2.5 filters were analysed for their carbonaceous content (organic and elemental carbon, OC and EC) by a thermo-optical technique and for polycyclic aromatic hydrocarbon (PAHs) and plasticisers by GC-MS. The morphology and chemical composition of selected PM2.5 samples were characterised by SEM-EDS. The mean indoor PM2.5 concentrations ranged from 14 µg m−3 to 30 µg m−3, while the outdoor levels varied from 18 µg m−3 to 30 µg m−3. Total carbon represented up to 40% of the PM2.5 mass. In general, the indoor OC/EC ratios were higher than the outdoor values. Indoor-to-outdoor ratios higher than 1 were observed for VOCs, carbonyls and plasticisers. PAH levels were much higher in the outdoor air. The particulate material was mainly composed of soot aggregates, fly ashes and mineral particles. The hazard quotients associated with VOC inhalation suggested a low probability of non-cancer effects, while the cancer risk was found to be low, but not negligible. Residential exposure to PAHs was dominated by benzo[a]pyrene and has shown to pose an insignificant cancer risk.
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Affiliation(s)
- Célia Alves
- Centre for Environmental and Marine Studies (CESAM), Department of Environment, University of Aveiro, 3810-193 Aveiro, Portugal; (A.V.); (A.R.O.); (E.V.); (T.N.); (M.C.); (M.E.)
- Correspondence: (C.A.); (C.C)
| | - Ana Vicente
- Centre for Environmental and Marine Studies (CESAM), Department of Environment, University of Aveiro, 3810-193 Aveiro, Portugal; (A.V.); (A.R.O.); (E.V.); (T.N.); (M.C.); (M.E.)
| | - Ana Rita Oliveira
- Centre for Environmental and Marine Studies (CESAM), Department of Environment, University of Aveiro, 3810-193 Aveiro, Portugal; (A.V.); (A.R.O.); (E.V.); (T.N.); (M.C.); (M.E.)
| | - Carla Candeias
- Geobiosciences, Geotechnologies and Geoengineering Research Centre (GeoBioTec), Department of Geosciences, University of Aveiro, 3810-193 Aveiro, Portugal;
- Correspondence: (C.A.); (C.C)
| | - Estela Vicente
- Centre for Environmental and Marine Studies (CESAM), Department of Environment, University of Aveiro, 3810-193 Aveiro, Portugal; (A.V.); (A.R.O.); (E.V.); (T.N.); (M.C.); (M.E.)
| | - Teresa Nunes
- Centre for Environmental and Marine Studies (CESAM), Department of Environment, University of Aveiro, 3810-193 Aveiro, Portugal; (A.V.); (A.R.O.); (E.V.); (T.N.); (M.C.); (M.E.)
| | - Mário Cerqueira
- Centre for Environmental and Marine Studies (CESAM), Department of Environment, University of Aveiro, 3810-193 Aveiro, Portugal; (A.V.); (A.R.O.); (E.V.); (T.N.); (M.C.); (M.E.)
| | - Margarita Evtyugina
- Centre for Environmental and Marine Studies (CESAM), Department of Environment, University of Aveiro, 3810-193 Aveiro, Portugal; (A.V.); (A.R.O.); (E.V.); (T.N.); (M.C.); (M.E.)
| | - Fernando Rocha
- Geobiosciences, Geotechnologies and Geoengineering Research Centre (GeoBioTec), Department of Geosciences, University of Aveiro, 3810-193 Aveiro, Portugal;
| | - Susana Marta Almeida
- Centre for Nuclear Sciences and Technologies (C2TN), Instituto Superior Técnico, University of Lisbon, Estrada Nacional 10, 2695-066 Bobadela, Portugal;
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17
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Shan A, Zhang Y, Zhang LW, Chen X, Li X, Wu H, Yan M, Li Y, Xian P, Ma Z, Li C, Guo P, Dong GH, Liu YM, Chen J, Wang T, Zhao BX, Tang NJ. Associations between the incidence and mortality rates of type 2 diabetes mellitus and long-term exposure to ambient air pollution: A 12-year cohort study in northern China. ENVIRONMENTAL RESEARCH 2020; 186:109551. [PMID: 32330771 DOI: 10.1016/j.envres.2020.109551] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 04/12/2020] [Accepted: 04/16/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Ambient air pollution has recently been related to type 2 diabetes mellitus (T2DM), a disease that has caused an economic and health burden worldwide. Evidence of an association between air pollution and T2DM was reported in the United States and Europe. However, few studies have focused on the association with high levels of air pollutants in a developing country. OBJECTIVES We conducted a 12-year cohort study to assess the incidence and mortality of T2DM associated with long-term exposure to PM10, SO2, and NO2. METHODS A retrospective cohort with participants from four cities in northern China was conducted to assess mortality and incidence of T2DM from 1998 to 2009. Incidence of T2DM was self-reported, and incident intake of an antidiabetic drug or injection of insulin simultaneously and mortality of T2DM was obtained from a family member and double checked against death certificates provided from the local center for disease control and prevention. Individual pollution exposures were the mean concentrations of pollutants estimated from the local environmental monitoring centers over the survival years. Hazard ratios (HRs) were estimated using Cox regression models after adjusting for potential confounding factors. RESULTS A total of 39 054 participants were recruited into the mortality cohort, among which 59 subjects died from T2DM; 38 529 participants were analyzed in the incidence cohort, and 1213 developed new cases of T2DM. For each 10 μg/m3 increase in PM10, SO2, and NO2, the adjusted HRs and 95% confidence interval (CI) for diabetic incidence were 1.831 (1.778, 1.886), 1.287 (1.256, 1.318), and 1.472 (1.419, 1.528), respectively. Similar results can be observed in the analysis of diabetic mortality with HRs (95% CI) up to 2.260 (1.732, 2.950), 1.130 (1.042, 1.225), and 1.525 (1.280, 1.816), respectively. CONCLUSIONS Our results suggested that long-term exposure to high levels of PM10, SO2, and NO2 increase risk of incident and mortality of T2DM in China.
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Affiliation(s)
- Anqi Shan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Yu Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Li-Wen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Xi Chen
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Xuejun Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Hui Wu
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Mengfan Yan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Yaoyan Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Ping Xian
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Zhao Ma
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Chaokang Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Pengyi Guo
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Guang-Hui Dong
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Ya-Min Liu
- School of Medicine and Life Sciences, Shandong Academy of Medical Sciences, Jinan, 250062, China
| | - Jie Chen
- Department of Occupational and Environmental Health, School of Public Health, China Medical University, No. 77 Puhe Road, Shenbei New District, 110122, Shenyang, Liaoning, China
| | - Tong Wang
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Bao-Xin Zhao
- Taiyuan Center for Disease Control and Prevention, Taiyuan, 030001, China
| | - Nai-Jun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China.
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Juntarawijit C, Juntarawijit Y. Cooking with biomass fuel and cardiovascular disease: a cross-sectional study among rural villagers in Phitsanulok, Thailand. F1000Res 2020; 9:307. [DOI: 10.12688/f1000research.23457.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/23/2020] [Indexed: 11/20/2022] Open
Abstract
Background: Burning biomass fuel is a major source of indoor air pollution; about 40% of Thai people still use biomass for cooking. There is increasing evidence of the association between biomass smoke exposure and serious health effects including cardiovascular disease. The object of this cross-sectional study was to investigate the association between biomass use for household cooking and cardiovascular outcome, including coronary heart disease, hypertension, high cholesterol, diabetes mellitus, and stroke among rural villagers in Phitsanulok, Thailand. Methods: Data from 1078 households were collected using a face-to-face interview questionnaire. Results: After being adjusted for gender, age, cigarette smoke, secondhand smoke, and exposure to other sources of air pollution, it was found that the family members of cooks using biomass fuel were at risk of coronary heart disease (CHD; OR=4.35; 95%CI 0.10–18.97), high blood pressure (HBP; OR=1.61; 95%CI 1.10–2.35), high cholesterol (HC; OR=2.74; 95%CI 1.66–4.53), and diabetes (OR= 1.88; 95%CI 1.03–3.46). Compared to LPG use, using wood was associated with stroke (OR=7.64; 95%CI 1.18–49.61), and using charcoal was associated with HC (OR=1.52; 95%CI 1.04–2.24). Compared to never user, household cooks who sometimes use charcoal had an increased risk of HBP (OR=2.04; 95%CI 1.32–3.15), HC (OR=2.61; 95%CI 1.63–4.18), and diabetes (OR=2.09; 95%CI 1.17–3.73); and cooks who often use charcoal had an elevated risk of stroke (OR=3.17; 95%CI 1.04–9.71), and HC (OR=1.52; 95%CI 1.02–2.27) to their family members. Conclusions: The study results were consistent with those found in studies from other parts of the world, and supports that exposure to biomass smoke increase cardiovascular diseases. The issue should receive more attention, and promotion of clean fuel use is a prominent action.
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Juntarawijit C, Juntarawijit Y. Cooking with biomass fuel and cardiovascular disease: a cross-sectional study among rural villagers in Phitsanulok, Thailand. F1000Res 2020; 9:307. [PMID: 33093943 PMCID: PMC7549177 DOI: 10.12688/f1000research.23457.2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/29/2020] [Indexed: 12/14/2022] Open
Abstract
Background: Burning biomass fuel is a major source of indoor air pollution; about 40% of Thai people still use biomass for cooking. There is increasing evidence of the association between biomass smoke exposure and serious health effects including cardiovascular disease. The object of this cross-sectional study was to investigate the association between biomass use for household cooking and cardiovascular outcome, including coronary heart disease, hypertension, high cholesterol, diabetes mellitus, and stroke among rural villagers in Phitsanulok, Thailand. Methods: Data from 1078 households were collected using a face-to-face interview questionnaire. In each household, data on cardiovascular disease, cooking practices, and cooking fuel, types of fuel they normally used for cooking, were collected. Results: After being adjusted for gender, age, cigarette smoke, secondhand smoke, and exposure to other sources of air pollution, it was found that the family members of cooks using biomass fuel were at risk of coronary heart disease (CHD; OR=4.35; 95%CI 0.10–18.97), hypertension (OR=1.61; 95%CI 1.10–2.35), high cholesterol (HC; OR=2.74; 95%CI 1.66–4.53), and diabetes (OR=1.88; 95%CI 1.03–3.46). Compared to LPG use, using wood was associated with stroke (OR=7.64; 95%CI 1.18–49.61), and using charcoal was associated with HC (OR=1.52; 95%CI 1.04–2.24). Compared to never user, household cooks who sometimes use charcoal had an increased risk of hypertension (OR=2.04; 95%CI 1.32–3.15), HC (OR=2.61; 95%CI 1.63–4.18), and diabetes (OR=2.09; 95%CI 1.17–3.73); and cooks who often use charcoal had an elevated risk of stroke (OR=3.17; 95%CI 1.04–9.71), and HC (OR=1.52; 95%CI 1.02–2.27) to their family members. Conclusions: The study results were consistent with those found in studies from other parts of the world, and supports that exposure to biomass smoke increase cardiovascular diseases. The issue should receive more attention, and promotion of clean fuel use is a prominent action.
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Affiliation(s)
- Chudchawal Juntarawijit
- Department of Natural Resources and Environment, Faculty of Agriculture, Natural Resources, and Environment, Naresuan University, Phitsanulok, 65000, Thailand
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Barr DB, Puttaswamy N, Jaacks LM, Steenland K, Rajkumar S, Gupton S, Ryan PB, Balakrishnan K, Peel JL, Checkley W, Clasen T, Clark ML. Design and Rationale of the Biomarker Center of the Household Air Pollution Intervention Network (HAPIN) Trial. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:47010. [PMID: 32347765 PMCID: PMC7228115 DOI: 10.1289/ehp5751] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Revised: 02/05/2020] [Accepted: 02/11/2020] [Indexed: 05/21/2023]
Abstract
BACKGROUND Biomarkers of exposure, susceptibility, and effect are fundamental for understanding environmental exposures, mechanistic pathways of effect, and monitoring early adverse outcomes. To date, no study has comprehensively evaluated a large suite and variety of biomarkers in household air pollution (HAP) studies in concert with exposure and outcome data. The Household Air Pollution Intervention Network (HAPIN) trial is a liquified petroleum gas (LPG) fuel/stove randomized intervention trial enrolling 800 pregnant women in each of four countries (i.e., Peru, Guatemala, Rwanda, and India). Their offspring will be followed from birth through 12 months of age to evaluate the role of pre- and postnatal exposure to HAP from biomass burning cookstoves in the control arm and LPG stoves in the intervention arm on growth and respiratory outcomes. In addition, up to 200 older adult women per site are being recruited in the same households to evaluate indicators of cardiopulmonary, metabolic, and cancer outcomes. OBJECTIVES Here we describe the rationale and ultimate design of a comprehensive biomarker plan to enable us to explore more fully how exposure is related to disease outcome. METHODS HAPIN enrollment and data collection began in May 2018 and will continue through August 2021. As a part of data collection, dried blood spot (DBS) and urine samples are being collected three times during pregnancy in pregnant women and older adult women. DBS are collected at birth for the child. DBS and urine samples are being collected from the older adult women and children three times throughout the child's first year of life. Exposure biomarkers that will be longitudinally measured in all participants include urinary hydroxy-polycyclic aromatic hydrocarbons, volatile organic chemical metabolites, metals/metalloids, levoglucosan, and cotinine. Biomarkers of effect, including inflammation, endothelial and oxidative stress biomarkers, lung cancer markers, and other clinically relevant measures will be analyzed in urine, DBS, or blood products from the older adult women. Similarly, genomic/epigenetic markers, microbiome, and metabolomics will be measured in older adult women samples. DISCUSSION Our study design will yield a wealth of biomarker data to evaluate, in great detail, the link between exposures and health outcomes. In addition, our design is comprehensive and innovative by including cutting-edge measures such as metabolomics and epigenetics. https://doi.org/10.1289/EHP5751.
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Affiliation(s)
- Dana Boyd Barr
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Naveen Puttaswamy
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India
| | - Lindsay M. Jaacks
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Sarah Rajkumar
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India
| | - Savannah Gupton
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - P. Barry Ryan
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Kalpana Balakrishnan
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India
| | - Jennifer L. Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - William Checkley
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Thomas Clasen
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Maggie L. Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - (HAPIN Investigative Team)
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
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Johnson MA, Steenland K, Piedrahita R, Clark ML, Pillarisetti A, Balakrishnan K, Peel JL, Naeher LP, Liao J, Wilson D, Sarnat J, Underhill LJ, Burrowes V, McCracken JP, Rosa G, Rosenthal J, Sambandam S, de Leon O, Kirby MA, Kearns K, Checkley W, Clasen T. Air Pollutant Exposure and Stove Use Assessment Methods for the Household Air Pollution Intervention Network (HAPIN) Trial. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:47009. [PMID: 32347764 PMCID: PMC7228125 DOI: 10.1289/ehp6422] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 03/27/2020] [Accepted: 04/01/2020] [Indexed: 05/05/2023]
Abstract
BACKGROUND High quality personal exposure data is fundamental to understanding the health implications of household energy interventions, interpreting analyses across assigned study arms, and characterizing exposure-response relationships for household air pollution. This paper describes the exposure data collection for the Household Air Pollution Intervention Network (HAPIN), a multicountry randomized controlled trial of liquefied petroleum gas stoves and fuel among 3,200 households in India, Rwanda, Guatemala, and Peru. OBJECTIVES The primary objectives of the exposure assessment are to estimate the exposure contrast achieved following a clean fuel intervention and to provide data for analyses of exposure-response relationships across a range of personal exposures. METHODS Exposure measurements are being conducted over the 3-y time frame of the field study. We are measuring fine particulate matter [PM < 2.5 μ m in aerodynamic diameter (PM 2.5 )] with the Enhanced Children's MicroPEM™ (RTI International), carbon monoxide (CO) with the USB-EL-CO (Lascar Electronics), and black carbon with the OT21 transmissometer (Magee Scientific) in pregnant women, adult women, and children < 1 year of age, primarily via multiple 24-h personal assessments (three, six, and three measurements, respectively) over the course of the 18-month follow-up period using lightweight monitors. For children we are using an indirect measurement approach, combining data from area monitors and locator devices worn by the child. For a subsample (up to 10%) of the study population, we are doubling the frequency of measurements in order to estimate the accuracy of subject-specific typical exposure estimates. In addition, we are conducting ambient air monitoring to help characterize potential contributions of PM 2.5 exposure from background concentration. Stove use monitors (Geocene) are being used to assess compliance with the intervention, given that stove stacking (use of traditional stoves in addition to the intervention gas stove) may occur. CONCLUSIONS The tools and approaches being used for HAPIN to estimate personal exposures build on previous efforts and take advantage of new technologies. In addition to providing key personal exposure data for this study, we hope the application and learnings from our exposure assessment will help inform future efforts to characterize exposure to household air pollution and for other contexts. https://doi.org/10.1289/EHP6422.
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Affiliation(s)
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | | | - Maggie L Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Ajay Pillarisetti
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Kalpana Balakrishnan
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Luke P Naeher
- Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, Georgia, USA
| | - Jiawen Liao
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | | | - Jeremy Sarnat
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Lindsay J Underhill
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Vanessa Burrowes
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - John P McCracken
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Ghislaine Rosa
- Department of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Joshua Rosenthal
- Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Sankar Sambandam
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India
| | - Oscar de Leon
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Miles A Kirby
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Katherine Kearns
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India
| | - William Checkley
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Thomas Clasen
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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Curto A, Donaire-Gonzalez D, Manaca MN, González R, Sacoor C, Rivas I, Gascon M, Wellenius GA, Querol X, Sunyer J, Macete E, Menéndez C, Tonne C. Predictors of personal exposure to black carbon among women in southern semi-rural Mozambique. ENVIRONMENT INTERNATIONAL 2019; 131:104962. [PMID: 31301586 DOI: 10.1016/j.envint.2019.104962] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 05/06/2019] [Accepted: 06/23/2019] [Indexed: 05/22/2023]
Abstract
Sub-Saharan Africa (SSA) has the highest proportion of people using unclean fuels for household energy, which can result in products of incomplete combustion that are damaging for health. Black carbon (BC) is a useful marker of inefficient combustion-related particles; however, ambient air quality data and temporal patterns of personal exposure to BC in SSA are scarce. We measured ambient elemental carbon (EC), comparable to BC, and personal exposure to BC in women of childbearing age from a semi-rural area of southern Mozambique. We measured ambient EC over one year (2014-2015) using a high-volume sampler and an off-line thermo-optical-transmission method. We simultaneously measured 5-min resolved 24-h personal BC using a portable MicroAeth (AE51) in 202 women. We used backwards stepwise linear regression to identify predictors of log-transformed 24-h mean and peak (90th percentile) personal BC exposure. We analyzed data from 187 non-smoking women aged 16-46 years. While daily mean ambient EC reached moderate levels (0.9 μg/m3, Standard Deviation, SD: 0.6 μg/m3), daily mean personal BC reached high levels (15 μg/m3, SD: 19 μg/m3). Daily patterns of personal exposure revealed a peak between 6 and 7 pm (>35 μg/m3), attributable to kerosene-based lighting. Key determinants of mean and peak personal exposure to BC were lighting source, kitchen type, ambient EC levels, and temperature. This study highlights the important contribution of lighting sources to personal exposure to combustion particles in populations that lack access to clean household energy.
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Affiliation(s)
- Ariadna Curto
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.
| | - David Donaire-Gonzalez
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology (EEPI), Utrecht University, Utrecht, the Netherlands; Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - Maria N Manaca
- Centro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique
| | - Raquel González
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain; Centro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique; ISGlobal, Hospital Clínic - Universitat de Barcelona, Barcelona, Spain
| | - Charfudin Sacoor
- Centro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique
| | - Ioar Rivas
- Institute for Environmental Assessment and Water Research (IDÆA-CSIC), Barcelona, Spain; MRC-PHE Centre for Environment & Health, Environmental Research Group, King's College London, London, UK
| | - Mireia Gascon
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Gregory A Wellenius
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Xavier Querol
- Institute for Environmental Assessment and Water Research (IDÆA-CSIC), Barcelona, Spain
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Eusébio Macete
- Centro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique
| | - Clara Menéndez
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain; Centro de Investigação em Saúde da Manhiça (CISM), Maputo, Mozambique; ISGlobal, Hospital Clínic - Universitat de Barcelona, Barcelona, Spain
| | - Cathryn Tonne
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
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Curto A, Ranzani O, Milà C, Sanchez M, Marshall JD, Kulkarni B, Bhogadi S, Kinra S, Wellenius GA, Tonne C. Lack of association between particulate air pollution and blood glucose levels and diabetic status in peri-urban India. ENVIRONMENT INTERNATIONAL 2019; 131:105033. [PMID: 31376594 PMCID: PMC6718580 DOI: 10.1016/j.envint.2019.105033] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 06/27/2019] [Accepted: 07/16/2019] [Indexed: 05/15/2023]
Abstract
BACKGROUND Limited evidence exists on the effect of particulate air pollution on blood glucose levels. We evaluated the associations of residential and personal levels of fine particulate matter (PM2.5) and black carbon (BC) with blood glucose and diabetic status among residents of 28 peri-urban villages in South India. METHODS We used cross-sectional data from 5065 adults (≥18 years, 54% men) included in the Andhra Pradesh Children and Parents Study. Fasting plasma glucose was measured once in 2010-2012 and prevalent prediabetes and diabetes were defined following the American Diabetes Association criteria. We estimated annual ambient PM2.5 and BC levels at residence using land-use regression models and annual personal exposure to PM2.5 and BC using prediction models based on direct measurements from a subsample of 402 participants. We used linear and logistic nested mixed-effect models to assess the association between exposure metrics and health outcomes. For personal exposures, we stratified analyses by sex. RESULTS Mean (SD) residential PM2.5 and BC were 32.9 (2.6) μg/m3 and 2.5 (2.6) μg/m3, respectively; personal exposures to PM2.5 and BC were 54.5 (11.5) μg/m3 and 5.8 (2.5) μg/m3, respectively. Average (SD) fasting blood glucose was 5.3 (1.3) mmol/l, 16% of participants had prediabetes, and 5.5% had diabetes. Residential PM2.5 and BC were not associated with higher blood glucose levels. Personal PM2.5 (20 μg/m3 increase) and BC (1 μg/m3 increase) were negatively associated with blood glucose levels in women (PM2.5: -1.93, 95%CI: -3.12, -0.73; BC: -0.63, 95%CI: -0.90, -0.37). In men, associations were negative for personal PM2.5 (-1.99, 95%CI: -3.56, -0.39) and positive for personal BC (0.49, 95%CI: -0.44, 1.43). We observed no evidence of associations between any exposure and prevalence of prediabetes/diabetes. CONCLUSIONS Our results do not provide evidence that residential exposures to PM2.5 or BC are associated with blood glucose or prevalence of prediabetes/diabetes in this population. Associations with personal exposure may have been affected by unmeasured confounding, highlighting a challenge in using personal exposure estimates in air pollution epidemiology. These associations should be further examined in longitudinal studies.
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Affiliation(s)
- Ariadna Curto
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Otavio Ranzani
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Carles Milà
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Margaux Sanchez
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Julian D Marshall
- Department of Civil and Environmental Engineering, University of Washington, WA, USA
| | - Bharati Kulkarni
- National Institute of Nutrition, Indian Council of Medical Research, Hyderabad, India
| | - Santhi Bhogadi
- Public Health Foundation of India, Indian Institute for Public Health, Hyderabad, India
| | - Sanjay Kinra
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Gregory A Wellenius
- Department of Epidemiology, Brown University School of Public Health, RI, USA
| | - Cathryn Tonne
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain.
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Gilbey SE, Reid CM, Huxley RR, Soares MJ, Zhao Y, Rumchev K. Associations Between Sub-Clinical Markers of Cardiometabolic Risk and Exposure to Residential Indoor Air Pollutants in Healthy Adults in Perth, Western Australia: A Study Protocol. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16193548. [PMID: 31546738 PMCID: PMC6801858 DOI: 10.3390/ijerph16193548] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 09/17/2019] [Accepted: 09/20/2019] [Indexed: 11/16/2022]
Abstract
BACKGROUND A growing body of epidemiological and clinical evidence has implicated air pollution as an emerging risk factor for cardiometabolic disease. Whilst individuals spend up to two-thirds of daily time in their domestic residential environment, very few studies have been designed to objectively measure the sub-clinical markers of cardiometabolic risk with exposure to domestic indoor air pollutants. This cross-sectional study aims to investigate associations between the components of domestic indoor air quality and selected sub-clinical cardiometabolic risk factors in a cohort of healthy adults living in Perth, Western Australia. METHODS One hundred and eleven non-smoking adults (65% female) living in non-smoking households who were aged between 35-69 years were recruited for the project. Study subjects were invited to participate in all sections of the study, which included: Domestic indoor air monitoring along with the concurrent 24 h ambulatory monitoring of peripheral and central blood pressure and measures of central hemodynamic indices, standardized questionnaires on aspects relating to current health status and the domestic environment, a 24 h time-activity diary during the monitoring period, and clinic-based health assessment involving collection of blood and urine biomarkers for lipid and glucose profiles, as well as measures of renal function and an analysis of central pulse wave and pulse wave velocity. RESULTS This study provides a standardized approach to the study of sub-clinical cardiometabolic health effects that are related to the exposure to indoor air pollution. CONCLUSION The findings of this study may provide direction for future research that will further contribute to our understanding of the relationship that exists between indoor air pollution and sub-clinical markers of cardiometabolic risk.
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Affiliation(s)
- Suzanne E Gilbey
- School of Public Health, Curtin University, Perth, WA 6148, Australia.
| | - Christopher M Reid
- School of Public Health, Curtin University, Perth, WA 6148, Australia.
- School of Public Health and Preventative Medicine, Monash University, Melbourne, VIC 3800, Australia.
| | - Rachel R Huxley
- School of Public Health, Curtin University, Perth, WA 6148, Australia.
- College of Science, La Trobe University, Melbourne, VIC 3086, Australia.
| | - Mario J Soares
- School of Public Health, Curtin University, Perth, WA 6148, Australia.
| | - Yun Zhao
- School of Public Health, Curtin University, Perth, WA 6148, Australia.
| | - Krassi Rumchev
- School of Public Health, Curtin University, Perth, WA 6148, Australia.
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Young BN, Peel JL, Benka-Coker ML, Rajkumar S, Walker ES, Brook RD, Nelson TL, Volckens J, L’Orange C, Good N, Quinn C, Keller JP, Weller ZD, Africano S, Osorto Pinel AB, Clark ML. Study protocol for a stepped-wedge randomized cookstove intervention in rural Honduras: household air pollution and cardiometabolic health. BMC Public Health 2019; 19:903. [PMID: 31286921 PMCID: PMC6615088 DOI: 10.1186/s12889-019-7214-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Accepted: 06/20/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Growing evidence links household air pollution exposure from biomass-burning cookstoves to cardiometabolic disease risk. Few randomized controlled interventions of cookstoves (biomass or otherwise) have quantitatively characterized changes in exposure and indicators of cardiometabolic health, a growing and understudied burden in low- and middle-income countries (LMICs). Ideally, the solution is to transition households to clean cooking, such as with electric or liquefied petroleum gas stoves; however, those unable to afford or to access these options will continue to burn biomass for the foreseeable future. Wood-burning cookstove designs such as the Justa (incorporating an engineered combustion zone and chimney) have the potential to substantially reduce air pollution exposures. Previous cookstove intervention studies have been limited by stove types that did not substantially reduce exposures and/or by low cookstove adoption and sustained use, and few studies have incorporated community-engaged approaches to enhance the intervention. METHODS/DESIGN We conducted an individual-level, stepped-wedge randomized controlled trial with the Justa cookstove intervention in rural Honduras. We enrolled 230 female primary cooks who were not pregnant, non-smoking, aged 24-59 years old, and used traditional wood-burning cookstoves at baseline. A community advisory board guided survey development and communication with participants, including recruitment and retention strategies. Over a 3-year study period, participants completed 6 study visits approximately 6 months apart. Half of the women received the Justa after visit 2 and half after visit 4. At each visit, we measured 24-h gravimetric personal and kitchen fine particulate matter (PM2.5) concentrations, qualitative and quantitative cookstove use and adoption metrics, and indicators of cardiometabolic health. The primary health endpoints were blood pressure, C-reactive protein, and glycated hemoglobin. Overall study goals are to explore barriers and enablers of new cookstove adoption and sustained use, compare health endpoints by assigned cookstove type, and explore the exposure-response associations between PM2.5 and indicators of cardiometabolic health. DISCUSSION This trial, utilizing an economically feasible, community-vetted cookstove and evaluating endpoints relevant for the major causes of morbidity and mortality in LMICs, will provide critical information for household air pollution stakeholders globally. TRIAL REGISTRATION ClinicalTrials.gov Identifier NCT02658383 , posted January 18, 2016, field work completed May 2018. Official title, "Community-Based Participatory Research: A Tool to Advance Cookstove Interventions." Principal Investigator Maggie L. Clark, Ph.D. Last update posted July 12, 2018.
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Affiliation(s)
- Bonnie N. Young
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1681 USA
| | - Jennifer L. Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1681 USA
| | - Megan L. Benka-Coker
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1681 USA
- Department of Health Sciences, Gettysburg College, Gettysburg, PA USA
| | - Sarah Rajkumar
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1681 USA
| | - Ethan S. Walker
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1681 USA
| | - Robert D. Brook
- Division of Cardiovascular Medicine, University of Michigan Medical School, Ann Arbor, MI USA
| | - Tracy L. Nelson
- Department of Health and Exercise Science, Colorado State University, Fort Collins, CO USA
| | - John Volckens
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1681 USA
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO USA
| | - Christian L’Orange
- 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 80523-1681 USA
| | - Casey Quinn
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1681 USA
| | - Joshua P. Keller
- Department of Statistics, 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
| | - Maggie L. Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1681 USA
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Misra A, Gopalan H, Jayawardena R, Hills AP, Soares M, Reza-Albarrán AA, Ramaiya KL. Diabetes in developing countries. J Diabetes 2019; 11:522-539. [PMID: 30864190 DOI: 10.1111/1753-0407.12913] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 02/27/2019] [Accepted: 03/08/2019] [Indexed: 12/24/2022] Open
Abstract
There has been a rapid escalation of type 2 diabetes (T2D) in developing countries, with varied prevalence according to rural vs urban habitat and degree of urbanization. Some ethnic groups (eg, South Asians, other Asians, and Africans), develop diabetes a decade earlier and at a lower body mass index than Whites, have prominent abdominal obesity, and accelerated the conversion from prediabetes to diabetes. The burden of complications, both macro- and microvascular, is substantial, but also varies according to populations. The syndemics of diabetes with HIV or tuberculosis are prevalent in many developing countries and predispose to each other. Screening for diabetes in large populations living in diverse habitats may not be cost-effective, but targeted high-risk screening may have a place. The cost of diagnostic tests and scarcity of health manpower pose substantial hurdles in the diagnosis and monitoring of patients. Efforts for prevention remain rudimentary in most developing countries. The quality of care is largely poor; hence, a substantial number of patients do not achieve treatment goals. This is further amplified by a delay in seeking treatment, "fatalistic attitudes", high cost and non-availability of drugs and insulins. To counter these numerous challenges, a renewed political commitment and mandate for health promotion and disease prevention are urgently needed. Several low-cost innovative approaches have been trialed with encouraging outcomes, including training and deployment of non-medical allied health professionals and the use of mobile phones and telemedicine to deliver simple health messages for the prevention and management of T2D.
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Affiliation(s)
- Anoop Misra
- National-Diabetes, Obesity and Cholesterol Foundation, Safdarjung Development Area, New Delhi, India
- Diabetes Foundation (India), New Delhi, India
- Fortis C-DOC Center of Excellence for Diabetes, Metabolic Diseases, and Endocrinology, New Delhi, India
| | - Hema Gopalan
- National-Diabetes, Obesity and Cholesterol Foundation, Safdarjung Development Area, New Delhi, India
| | | | - Andrew P Hills
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Mario Soares
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Alfredo A Reza-Albarrán
- Endocrinology and Metabolism Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
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Abstract
This paper presents results from eight field studies in Asia and Africa on the emissions performance of 16 stove/fuel combinations measured during normal cooking events in homes. Characterizing real-world emissions performance is important for understanding the climate and health implications of technologies being promoted as alternatives to displace baseline cooking stoves and fuels. Almost all of the stove interventions were measured to have substantial reductions in PM2.5 and CO emissions compared to their respective baseline technologies (reductions of 24–87% and 25–80%, for PM2.5 and CO emission rates, respectively), though comparison with performance guidance from the World Health Organization (WHO) and the International Organization for Standardization (ISO) suggests that further improvement for biomass stoves would help realize more health benefits. The emissions of LPG stoves were generally below the WHO interim PM2.5 emissions target (1.75 mg/min) though it was not clear how close they were to the most aspirational ISO (0.2 mg/min) or WHO (0.23 mg/min) targets as our limit of detection was 1.1 mg/min. Elemental and organic carbon emission factors and elemental-to-total carbon ratios (medians ranging from 0.11 to 0.42) were in line with previously reported field-based estimates for similar stove/fuel combinations. Two of the better performing forced draft stoves used with pellets—the Oorja (median ET/TC = 0.12) and Eco-Chula (median ET/TC = 0.42)—were at opposite ends of the range, indicating that important differences in combustion conditions can arise even between similar stove/fuel combinations. Field-based tests of stove performance also provide important feedback for laboratory test protocols. Comparison of these results to previously published water boiling test data from the laboratory reinforce the trend that stove performance is generally better during controlled laboratory conditions, with modified combustion efficiency (MCE) being consistently lower in the field for respective stove/fuel categories. New testing approaches, which operate stoves through a broader range of conditions, indicate potential for better MCE agreement than previous versions of water boiling tests. This improved agreement suggests that stove performance estimates from a new ISO laboratory testing protocol, including testing stoves across low, medium, and high firepower, may provide more representative estimates of real-world performance than previously used tests. More representative results from standardized laboratory testing should help push stove designs toward better real-world performance as well as provide a better indication of how the tested technologies will perform for the user.
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28
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Rajkumar S, Young BN, Clark ML, Benka-Coker ML, Bachand AM, Brook RD, Nelson TL, Volckens J, Reynolds SJ, L'Orange C, Good N, Koehler K, Africano S, Osorto Pinel AB, Peel JL. Household air pollution from biomass-burning cookstoves and metabolic syndrome, blood lipid concentrations, and waist circumference in Honduran women: A cross-sectional study. ENVIRONMENTAL RESEARCH 2019; 170:46-55. [PMID: 30557691 PMCID: PMC6360106 DOI: 10.1016/j.envres.2018.12.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 12/03/2018] [Accepted: 12/05/2018] [Indexed: 05/30/2023]
Abstract
BACKGROUND Household air pollution from cooking with solid fuels affects nearly 3 billion people worldwide and is responsible for an estimated 2.5 million premature deaths and 77 million disability-adjusted life years annually. Investigating the effect of household air pollution on indicators of cardiometabolic disease, such as metabolic syndrome, can help clarify the pathways between this widespread exposure and cardiovascular diseases, which are increasing in low- and middle-income countries. METHODS Our cross-sectional study of 150 women in rural Honduras (76 with traditional stoves and 74 with cleaner-burning Justa stoves) explored the effect of household air pollution exposure on cardiovascular disease risk factors. Household air pollution was measured by stove type and 24-h average kitchen and personal fine particulate matter [PM2.5] mass and black carbon concentrations. Health endpoints included non-fasting total cholesterol, high-density lipoprotein, calculated low-density lipoprotein, triglycerides, waist circumference to indicate abdominal obesity, and presence of metabolic syndrome (defined by current modified international guidelines: waist circumference ≥ 80 cm plus any two of the following: triglycerides > 200 mg/dL, HDL < 50 mg/dL, systolic blood pressure ≥ 130 mmHg, diastolic blood pressure ≥ 85 mmHg, or glycated hemoglobin > 5.6%). RESULTS Forty percent of women met the criteria for metabolic syndrome. The prevalence ratio [PR] for metabolic syndrome (versus normal) per interquartile range increase in kitchen PM2.5 and kitchen black carbon was 1.16 (95% confidence interval [CI]: 1.01-1.34) per 312 μg/m3 increase in PM2.5, and 1.07 (95% CI: 1.03-1.12) per 73 μg/m3 increase in black carbon. There is suggestive evidence of a stronger effect in women ≥ 40 years of age compared to women < 40 (p-value for interaction = 0.12 for personal PM2.5). There was no evidence of associations between all other exposure metrics and health endpoints. CONCLUSIONS The prevalence of metabolic syndrome among our study population was high compared to global estimates. We observed a suggestive effect between metabolic syndrome and exposure to household air pollution. These results for metabolic syndrome may be driven by specific syndrome components, such as blood pressure. Longitudinal research with repeated health and exposure measures is needed to better understand the link between household air pollution and indicators of cardiometabolic disease risk.
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Affiliation(s)
- Sarah Rajkumar
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Bonnie N Young
- 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.
| | - Megan L Benka-Coker
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Health Sciences Program, Gettysburg College, Gettysburg, PA, USA.
| | - Annette M Bachand
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.
| | - Robert D Brook
- Division of Cardiovascular Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
| | - Tracy L Nelson
- Department of Health and Exercise Science, 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.
| | - Stephen J Reynolds
- 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.
| | - Nicholas Good
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.
| | - Kirsten Koehler
- Department of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, 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.
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29
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Berg KE, Turner LR, Benka-Coker ML, Rajkumar S, Young BN, Peel JL, Clark ML, Volckens J, Henry CS. Electrochemical Dithiothreitol Assay for Large-Scale Particulate Matter Studies. AEROSOL SCIENCE AND TECHNOLOGY : THE JOURNAL OF THE AMERICAN ASSOCIATION FOR AEROSOL RESEARCH 2019; 53:268-275. [PMID: 31588161 PMCID: PMC6777574 DOI: 10.1080/02786826.2018.1560391] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 11/11/2018] [Accepted: 11/25/2018] [Indexed: 06/10/2023]
Abstract
Particulate matter (PM) air pollution is associated with human morbidity and mortality. Measuring PM oxidative potential has been shown to provide a predictive measurement between PM exposure and adverse health impacts. The dithiothreitol (DTT) assay is commonly used to measure the oxidative potential of PM2.5 (PM less than 2.5 μm aerodynamic diameter). In the common, kinetic form of this assay, the decay of DTT is quantified over time (indirectly) using 5,5'-dithiobis(2-nitrobenzoic acid) (DTNB, Ellman's reagent) via UV/vis absorbance spectroscopy. The loss of DTT can also be quantified directly using electrochemical detection. The objectives of this work were (1) to evaluate the electrochemical assay, using commercially available equipment, relative to the UV/vis absorbance assay, and (2) to apply the electrochemical method to a large (>100) number of PM2.5 aerosol filter samples. Also presented here is the comparison an end-point assay to the kinetic assay, in an attempt to reduce the time, labor, and materials neccssary to quantify PM oxidative potential. The end-point, electrochemical assay gave comparable results to the UV/vis absorbance assay for PM filter sample analysis. Finally, high filter mass loadings (higher than about 0.5 μg PM per mm2 filter) lead to sub-optimal DTT assay performance, which suggests future studies should limit particle mass loadings on filters.
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Affiliation(s)
| | | | - Megan L. Benka-Coker
- Dept of Environmental and Radiological Health Sciences, Colorado State University
| | - Sarah Rajkumar
- Dept of Environmental and Radiological Health Sciences, Colorado State University
| | - Bonnie N. Young
- Dept of Environmental and Radiological Health Sciences, Colorado State University
| | - Jennifer L. Peel
- Dept of Environmental and Radiological Health Sciences, Colorado State University
| | - Maggie L. Clark
- Dept of Environmental and Radiological Health Sciences, Colorado State University
| | - John Volckens
- Dept of Environmental and Radiological Health Sciences, Colorado State University
- Dept of Mechanical Engineering, Colorado State University
| | - Charles S. Henry
- Dept of Chemistry, Colorado State University
- Dept of Chemical & Biological Engineering, Colorado State University
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Ruiz-Vera T, Ochoa-Martínez ÁC, Pruneda-Álvarez LG, Zarazúa S, Pérez-Maldonado IN. Exposure to biomass smoke is associated with an increased expression of circulating miRNA-126 and miRNA-155 in Mexican women: a pilot study. Drug Chem Toxicol 2018; 42:335-342. [PMID: 30486697 DOI: 10.1080/01480545.2018.1526181] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Household air pollution has been associated as a risk factor for cardiovascular diseases (CVD). Therefore, the aim of this study was to assess the expression of vascular inflammation regulators miR-126 and miR-155 in plasma from women that cook with wood and women that cook with liquid petroleum gas (LPG). A cumulative index of exposure to smoke (CIES) was estimated, urinary 1-hydroxypyrene (1-OHP) levels were quantified and miRNAs expression levels were determined by quantitative real-time PCR (qRT-PCR). Biochemical clinical parameters were also evaluated. The average values for CIES and 1-OHP were 140 ± 86.8 hours-years (12.0-270 hours-years) and 0.52 ± 0.45 µmol/mol creatinine, respectively. miR-126 and miR-155 expression levels were significantly higher (p < 0.01) in the wood users compared to LPG users. Besides, we found a significant association (p < 0.01) between miR-126 and miR-155 expression levels and CIES and urinary 1-OHP concentrations. These results contribute to the current evidence about the cardiovascular risk related to biomass smoke exposure, from an epigenetic level.
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Affiliation(s)
- Tania Ruiz-Vera
- a Laboratorio de Toxicología Molecular, Centro de Investigación Aplicada en Ambiente y Salud (CIAAS) , Coordinación para la Innovación y Aplicación de la Ciencia y la Tecnología (CIACYT), Universidad Autónoma de San Luis Potosí , San Luis Potosí , México.,b Facultad de Medicina , Universidad Autónoma de San Luis Potosí , San Luis Potosí , México
| | - Ángeles C Ochoa-Martínez
- a Laboratorio de Toxicología Molecular, Centro de Investigación Aplicada en Ambiente y Salud (CIAAS) , Coordinación para la Innovación y Aplicación de la Ciencia y la Tecnología (CIACYT), Universidad Autónoma de San Luis Potosí , San Luis Potosí , México.,b Facultad de Medicina , Universidad Autónoma de San Luis Potosí , San Luis Potosí , México
| | - Lucía G Pruneda-Álvarez
- a Laboratorio de Toxicología Molecular, Centro de Investigación Aplicada en Ambiente y Salud (CIAAS) , Coordinación para la Innovación y Aplicación de la Ciencia y la Tecnología (CIACYT), Universidad Autónoma de San Luis Potosí , San Luis Potosí , México.,b Facultad de Medicina , Universidad Autónoma de San Luis Potosí , San Luis Potosí , México
| | - Sergio Zarazúa
- c Laboratorio de Neurotoxicología, Facultad de Ciencias Químicas , Universidad Autónoma de San Luis Potosí , San Luis Potosí , México
| | - Iván N Pérez-Maldonado
- a Laboratorio de Toxicología Molecular, Centro de Investigación Aplicada en Ambiente y Salud (CIAAS) , Coordinación para la Innovación y Aplicación de la Ciencia y la Tecnología (CIACYT), Universidad Autónoma de San Luis Potosí , San Luis Potosí , México.,b Facultad de Medicina , Universidad Autónoma de San Luis Potosí , San Luis Potosí , México.,d Unidad Académica Multidisciplinaria Zona Media, Universidad Autónoma de San Luis Potosí. Rio-verde , San Luis Potosí , México
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Exposure to Household Air Pollution from Biomass Cookstoves and Levels of Fractional Exhaled Nitric Oxide (FeNO) among Honduran Women. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15112544. [PMID: 30428575 PMCID: PMC6267103 DOI: 10.3390/ijerph15112544] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 10/26/2018] [Accepted: 11/07/2018] [Indexed: 12/14/2022]
Abstract
Household air pollution is estimated to be responsible for nearly three million premature deaths annually. Measuring fractional exhaled nitric oxide (FeNO) may improve the limited understanding of the association of household air pollution and airway inflammation. We evaluated the cross-sectional association of FeNO with exposure to household air pollution (24-h average kitchen and personal fine particulate matter and black carbon; stove type) among 139 women in rural Honduras using traditional stoves or cleaner-burning Justa stoves. We additionally evaluated interaction by age. Results were generally consistent with a null association; we did not observe a consistent pattern for interaction by age. Evidence from ambient and household air pollution regarding FeNO is inconsistent, and may be attributable to differing study populations, exposures, and FeNO measurement procedures (e.g., the flow rate used to measure FeNO).
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