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García G, Martín-Gisbert L, Candal-Pedreira C, Ruano-Ravina A. Does lung function mediate the role of environmental pollution on overall and cardiovascular disease mortality? ERJ Open Res 2024; 10:00141-2024. [PMID: 38686179 PMCID: PMC11057502 DOI: 10.1183/23120541.00141-2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 02/14/2024] [Indexed: 05/02/2024] Open
Abstract
Lung function and its mediation role on environmental pollution and mortality https://bit.ly/3pdVYJX.
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Affiliation(s)
- Guadalupe García
- Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Lucía Martín-Gisbert
- Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- Cross-disciplinary Research in Environmental Technologies (CRETUS), University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Cristina Candal-Pedreira
- Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela (Instituto de Investigación Sanitaria de Santiago de Compostela), Santiago de Compostela, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública), Madrid, Spain
| | - Alberto Ruano-Ravina
- Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- Cross-disciplinary Research in Environmental Technologies (CRETUS), University of Santiago de Compostela, Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela (Instituto de Investigación Sanitaria de Santiago de Compostela), Santiago de Compostela, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública), Madrid, Spain
- University of Santiago de Compostela–Galician Department of Health, Santiago de Compostela, Spain
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Jiang N, Bao WW, Gui ZH, Chen YC, Zhao Y, Huang S, Zhang YS, Liang JH, Pu XY, Huang SY, Dong GH, Chen YJ. Findings of indoor air pollution and childhood obesity in a cross-sectional study of Chinese schoolchildren. ENVIRONMENTAL RESEARCH 2023; 225:115611. [PMID: 36878271 DOI: 10.1016/j.envres.2023.115611] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 02/09/2023] [Accepted: 03/02/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Air pollution exposures are increasingly suspected to influence the development of childhood adiposity, especially focusing on outdoor exposure, but few studies investigated indoor exposure and childhood obesity. OBJECTIVES We aimed to examine the association between exposure to multiple indoor air pollutants and childhood obesity in Chinese schoolchildren. METHODS In 2019, we recruited 6499 children aged 6-12 years from five Chinese elementary schools in Guangzhou, China. We measured age-sex-specific body mass index z score (z-BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) on standard procedures. Four different indoor air pollution (IAP) exposures, including cooking oil fumes (COFs), home decoration, secondhand smoke (SHS), and incense burning, were collected by questionnaire and then converted into an IAP exposure index with four categories. Association between indoor air pollutants and childhood overweight/obesity as well as four obese anthropometric indices were assessed by logistic regression models and multivariable linear regression models, respectively. RESULTS Children exposed to ≥3 types of indoor air pollutants had higher z-BMI (coefficient [β]:0.142, 95% confidence interval [CI]:0.011-0.274) and higher risk of overweight/obesity (odd ratio [OR]:1.27, 95%CI:1.01-1.60). And a dose-response relationship was discovered between the IAP exposure index and z-BMI as well as overweight/obesity (pfor trend<0.05). We also found that exposure to SHS and COFs was positively associated with z-BMI and overweight/obesity (p < 0.05). Moreover, there was a significant interaction between SHS exposure and COFs on the higher risk of overweight/obesity among schoolchildren. Boys appear more susceptible to multiple indoor air pollutants than girls. CONCLUSIONS Indoor air pollution exposures were positively associated with higher obese anthropometric indices and increased odds of overweight/obesity in Chinese schoolchildren. More well-designed cohort studies are needed to verify our results.
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Affiliation(s)
- Nan Jiang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Wen-Wen Bao
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhao-Huan Gui
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yi-Can Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yu Zhao
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Shan Huang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yu-Shan Zhang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jing-Hong Liang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Xue-Ya Pu
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Shao-Yi Huang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Guang-Hui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Ya-Jun Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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Li X, Duan C, Chen Q, Xiao J, Jim Zhang J. Associations between cooking fuels and hypertension prevalence in Chinese adults: A prospective cohort analysis focusing on fuel transitioning. ENVIRONMENT INTERNATIONAL 2023; 175:107953. [PMID: 37156055 DOI: 10.1016/j.envint.2023.107953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 04/02/2023] [Accepted: 04/25/2023] [Indexed: 05/10/2023]
Abstract
BACKGROUND Using polluting cooking fuels is a suggested risk factor for hypertension. Transitioning to clean cooking fuels has occurred widely in China in the past 30 years. This provides an opportunity to examine whether the transition could reduce hypertension risk and to ascertain the inconsistent literature on the relationship between cooking fuels and hypertension prevalence. METHODS Initiated in 1989, the China Health and Nutrition Survey (CHNS) enrolled participants from 12 provinces in China. By 2015, nine waves of follow-up have been conducted. Based on self-reported cooking fuels, participants were classified into persistent clean fuel users, persistent polluting fuel users and those who transitioned from polluting fuels to clean fuels. Hypertension was defined as having systolic blood pressure (SBP) ≥ 140 mmHg, diastolic blood pressure (DBP) ≥ 90 mmHg, or self-reported current use of antihypertension medication. FINDINGS Among 12,668 participants, 3963 (31.28%) were persistent polluting fuel users; 4299 (33.94%) transitioned to clean fuels; and 4406 (34.78%) were persistent clean fuel users. During the period of follow-up (7.8 ± 6.1 years), hypertension was diagnosed in 4428 participants. Compared to persistent clean fuel users, persistent polluting fuel users had a higher risk for hypertension (hazard ratio [HR] 1.69, 95%CI 1.55-1.85), while those transitioned to clean fuels did not. The effects were consistent by gender and urbanicity, respectively. The HRs for hypertension were 1.99 (95%CI 1.75-2.25), 1.55 (95%CI 1.32-1.81) and 1.36 (95%CI 1.13-1.65) among those persistent polluting fuel users aged 18-44, 45-59 and ≥60 years old, respectively. INTERPRETATION Transitioning from using polluting fuels to clean fuels prevented an increase in hypertension risk. The finding highlights the importance of promoting the fuel transition as a risk-reduction strategy for reducing the disease burden from hypertension.
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Affiliation(s)
- Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China
| | - Chongyang Duan
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Qing Chen
- Department of Epidemiology, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
| | - Junfeng Jim Zhang
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, NC, USA; Duke Kunshan University, Kunshan, Jiangsu Province, China.
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Mitra P, Chakraborty D, Nayek S, Kundu S, Mishra D, Dan U, Mondal NK. Biomass using tribal women exhibited respiratory symptoms, hypertensive risks and abnormal pulmonary function. CHEMOSPHERE 2023; 311:136995. [PMID: 36330973 DOI: 10.1016/j.chemosphere.2022.136995] [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: 07/01/2022] [Revised: 10/18/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
In rural areas of developing countries, solid fuels are still widely used for cooking, heating, and lighting purposes. This study investigates the effects of household air pollutants (HAPs) exposure on the occurrence of respiratory symptoms, blood pressure, and lung function. In this study, we randomly selected 123 (83 biomass and 40 clean fuel user) subjects to assess the impact of smoke generated from solid biomass fuel by assessing their health status along with the ventilation pattern of the kitchens and living rooms. HAPs (PM10, PM2.5, and CO) and different health parameters were measured along with monitoring of self-reported health symptoms for a consecutive period of eight months. Results revealed that the concentration of CO, PM2.5, and PM10 were found highest in biomass using households. Higher odds of the upper respiratory symptoms, runny nose (OR: 4.08, 95% CI: 1.22-22.14, p < 0.03), nasal congestion (OR: 9.07, 95% CI: 1.39-97.89, p < 0.01) and the odds of the lower respiratory symptoms like wheezing (OR: 1.62, 95% CI: 1.23-10.94, p < 0.01), breathlessness (OR: 4.44, 95% CI: 1.3-14.75, p < 0.01), chest tightness (OR: 4.89, 95% CI: 1.23-22.14, p < 0.03) and dry cough (OR: 3.661, 95% CI: 1.05-12.25, p < 0.04) were significantly higher in biomass fuel user. Similarly higher systolic (+11.41 mmHg), higher diastolic pressure (+3.3 mmHg), higher pulse pressure (+8.11 mmHg), and a 6 mmHg higher mean arterial pressure among biomass fuel using tribal women. The risk of hypertension was significantly (p < 0.03) higher (OR: 3.04; 95% CI: 1.18-7.89) among solid biomass fuel users. The lung abnormality was recorded 28.91% (OR: 5.02, 95% CI: 1.50 to 16.56, p < 0.01) among biomass fuel user. Finally, it is suggested that the use of efficient cookstoves, increase in cross ventilation, and cleaner fuel are urgently needed to curb the pollution load.
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Affiliation(s)
- Pradip Mitra
- Environmental Chemistry Laboratory, Department of Environmental Science, The University of Burdwan, West, Bengal, India
| | - Deep Chakraborty
- Department of Environmental Health Engineering, Faculty of Public Health, Sri Ramachandra Institute of Higher Education and Research (DU), Chennai, Tamilnadu, 600116, India
| | - Sukanta Nayek
- Environmental Chemistry Laboratory, Department of Environmental Science, The University of Burdwan, West, Bengal, India
| | - Soumya Kundu
- Environmental Chemistry Laboratory, Department of Environmental Science, The University of Burdwan, West, Bengal, India
| | - Debojyoti Mishra
- Environmental Chemistry Laboratory, Department of Environmental Science, The University of Burdwan, West, Bengal, India
| | - Utpal Dan
- Principal, Diamond Harbour Government Medical College and Hospital, South 24, Pargans, West Bengal, India
| | - Naba Kumar Mondal
- Environmental Chemistry Laboratory, Department of Environmental Science, The University of Burdwan, West, Bengal, India.
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Zheng XY, Tang SL, Liu T, Wang Y, Xu XJ, Xiao N, Li C, Xu YJ, He ZX, Ma SL, Chen YL, Meng RL, Lin LF. Effects of long-term PM 2.5 exposure on metabolic syndrome among adults and elderly in Guangdong, China. Environ Health 2022; 21:84. [PMID: 36088422 PMCID: PMC9464395 DOI: 10.1186/s12940-022-00888-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 07/29/2022] [Indexed: 05/20/2023]
Abstract
BACKGROUND We aimed to explore the association between long-term exposure to particulate matter ≤ 2.5 µm (PM2.5) and metabolic syndrome (MetS) and its components including fasting blood glucose (FBG), blood pressure, triglyceride (TG), high-density lipoprotein cholesterol (HDL-c) and waist circumference among adults and elderly in south China. METHODS We surveyed 6628 participants in the chronic disease and risk factors surveillance conducted in 14 districts of Guangdong province in 2015. MetS was defined based on the recommendation by the Joint Interim Societies' criteria. We used the spatiotemporal land-use regression (LUR) model to estimate the two-year average exposure of ambient air pollutants (PM2.5, PM10, SO2, NO2, and O3) at individual levels. We recorded other covariates by using a structured questionnaire. Generalized linear mixed model was used for analysis. RESULTS A 10-μg/m3 increase in the two-year mean PM2.5 exposure was associated with a higher risk of developing MetS [odd ratio (OR): 1.17, 95% confidence interval (CI): 1.01, 1.35], increased risk of fasting blood glucose level. (OR: 1.18, 95% CI: 1.02, 1.36), and hypertriglyceridemia (OR: 1.36, 95% CI: 1.18, 1.58) in the adjusted/unadjusted models (all P < 0.05). We found significant interaction between PM2.5 and the region, exercise on the high TG levels, and an interaction with the region, age, exercise and grain consumption on FBG (P interaction < 0.05). CONCLUSIONS Long-term exposure to PM2.5 was associated with MetS, dyslipidemia and FBG impairment. Efforts should be made for environment improvement to reduce the burden of MetS-associated non-communicable disease.
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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
| | - Tao Liu
- Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou, China
| | - Ye Wang
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong, China
| | - Xiao-jun Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong, China
| | - Ni Xiao
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong, 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
| | - Zhao-xuan He
- 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
| | - Yu-liang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 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
- School of Public Health, Southern Medical University, Guangzhou, China
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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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