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Gui ZH, Heinrich J, Min Qian Z, Schootman M, Zhao TY, Xu SL, Jin NX, Huang HH, He WT, Wu QZ, Zhang JL, Wang DS, Yang M, Liu RQ, Zeng XW, Dong GH, Lin LZ. Exposures to particulate matters and childhood sleep disorders-A large study in three provinces in China. ENVIRONMENT INTERNATIONAL 2024; 190:108841. [PMID: 38917626 DOI: 10.1016/j.envint.2024.108841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 06/10/2024] [Accepted: 06/20/2024] [Indexed: 06/27/2024]
Abstract
OBJECTIVES Evidence on the link between long-term ambient particulate matter (PM) exposures and childhood sleep disorders were scarce. We examined the associations between long-term exposures to PM2.5 and PM1 (PM with an aerodynamic equivalent diameter <2.5 μm and <1 μm, respectively) with sleep disorders in children. METHODS We performed a population-based cross-sectional survey in 177,263 children aged 6 to 18 years in 14 Chinese cities during 2012-2018. A satellite-based spatiotemporal model was employed to estimate four-year annual average PM2.5 and PM1 exposures at residential and school addresses. Parents or guardians completed a checklist using the Sleep Disturbance Scale for Children. We estimated the associations using generalized linear mixed models with adjustment for characteristics of children, parents, and indoor environments. RESULTS Long-term PM2.5 and PM1 exposures were positively associated with odds of sleep disorders for almost all domains. For example, increments in PM2.5 and PM1 per 10 μg/m3 were associated with odds ratios of global sleep disorder of 1.24 (95 % confidence interval [CI]: 1.14, 1.35) and 1.31 (95 %CI: 1.18, 1.46), respectively. Similar results were observed for subtypes of sleep disorder. These associations were heterogeneous regionally, with stronger associations among children residing in southeast region than in northeast and northwest regions. Moreover, larger estimates of PM1 were found than that of PM2.5 in southeast region. CONCLUSION Long-term PM2.5 and PM1 exposures are independently associated with higher risks of childhood sleep disorders, and these associations vary by geographical region.
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Affiliation(s)
- Zhao-Huan Gui
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich 80336, Germany; Allergy and Lung Health Unit, Melbourne School of Population and Health, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104, United States
| | - Mario Schootman
- Department of Internal Medicine, College of Medicine, University of Arkansas for Medical Sciences, 2708 S. 48th Street, Springdale, AR 72762, United States
| | - Tian-Yu Zhao
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich 80336, Germany
| | - Shu-Li Xu
- Department of Occupational and Environmental Health, Shenzhen Baoan District Public Health Service Center, Shenzhen 518100, China
| | - Nan-Xiang Jin
- A.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70210 Kuopio, Finland
| | - He-Hai Huang
- Department of Occupational and Environmental Health, Shenzhen Baoan District Public Health Service Center, Shenzhen 518100, China
| | - Wan-Ting He
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qi-Zhen Wu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Jing-Lin Zhang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Dao-Sen Wang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Mo Yang
- Department of Environmental and Biological Science, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211 Kuopio, Finland
| | - Ru-Qing Liu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiao-Wen Zeng
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guang-Hui Dong
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Li-Zi Lin
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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Shi W, Schooling CM, Leung GM, Zhao JV. Early-life exposure to ambient air pollution with cardiovascular risk factors in adolescents: Findings from the "Children of 1997" Hong Kong birth cohort. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 921:171119. [PMID: 38382602 DOI: 10.1016/j.scitotenv.2024.171119] [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: 12/15/2023] [Revised: 01/27/2024] [Accepted: 02/18/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND Long-term exposure to ambient air pollution is associated with cardiovascular disease (CVD) risk. Little is known about the impact of early-life exposure to air pollutants on CVD risk factors in late adolescence, which may track into adulthood. To clarify, we examined this question in a unique setting with high air pollution and a high level of economic development. METHODS This study leveraged the "Children of 1997" Hong Kong birth cohort (N = 8327), including here 3350 participants. We estimated ambient air pollutant exposure including inhalable particulate matter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2) and nitrogen monoxide (NO) by growth phase (in utero, infancy, childhood) and overall based on residential address. Generalized linear regression was used to assess the associations of air pollutants exposure by growth phase and sex with CVD risk factors (fasting blood glucose, glycosylated hemoglobin, lipid profile, blood pressure, and body mass index) at 17.6 years. We also assessed whether associations varied by sex. RESULTS Early life exposed had little association with glucose metabolism, blood pressure or body mass index, but after considering multiple comparisons early exposure to PM10 was associated with low density lipoprotein (LDL) in boys, with β and 95 % confidence intervals (95 % CI) of 0.184 (0.069 to 0.298) mmol/l, 0.151 (0.056 to 0.248) mmol/l, and 0.157 (0.063 to 0.252) mmol/l by per interquartile range (IQR) increment of PM10 for in utero, infancy, and overall, respectively. No such associations were evident for girls, differences by sex were evident. CONCLUSIONS Our study suggested sex-specific associations of early-life PM10 exposure with elevated LDL in adolescence, especially exposure in utero and infancy.
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Affiliation(s)
- Wenming Shi
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - C Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong; School of Public Health and Health Policy, City University of New York, New York, NY, USA
| | - Gabriel M Leung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Jie V Zhao
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong.
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Li Y, Zhu L, Wei J, Wu C, Zhao Z, Norbäck D, Zhang X, Lu C, Yu W, Wang T, Zheng X, Zhang L, Zhang Y. Intrauterine and early postnatal exposures to submicron particulate matter and childhood allergic rhinitis: A multicity cross-sectional study in China. ENVIRONMENTAL RESEARCH 2024; 247:118165. [PMID: 38215923 DOI: 10.1016/j.envres.2024.118165] [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: 09/30/2023] [Revised: 12/11/2023] [Accepted: 01/08/2024] [Indexed: 01/14/2024]
Abstract
BACKGROUND Airborne particulate matter pollution has been linked to occurrence of childhood allergic rhinitis (AR). However, the relationships between exposure to particulate matter with an aerodynamic diameter ≤1 μm (PM1) during early life (in utero and first year of life) and the onset of childhood AR remain largely unknown. This study aims to investigate potential associations of in utero and first-year exposures to size-segregated PMs, including PM1, PM1-2.5, PM2.5, PM2.5-10, and PM10, with childhood AR. METHODS We investigated 29286 preschool children aged 3-6 years in 7 Chinese major cities during 2019-2020 as the Phase II of the China Children, Families, Health Study. Machine learning-based space-time models were utilized to estimate early-life residential exposure to PM1, PM2.5, and PM10 at 1 × 1-km resolutions. The concentrations of PM1-2.5 and PM2.5-10 were calculated by subtracting PM1 from PM2.5 and PM2.5 from PM10, respectively. Multiple mixed-effects logistic models were used to assess the odds ratios (ORs) and 95% confidence intervals (CIs) of childhood AR associated with per 10-μg/m3 increase in exposure to particulate air pollution during in utero period and the first year of life. RESULTS Among the 29286 children surveyed (mean ± standard deviation, 4.9 ± 0.9 years), 3652 (12.5%) were reported to be diagnosed with AR. Average PM1 concentrations during in utero period and the first year since birth were 36.3 ± 8.6 μg/m3 and 33.1 ± 6.9 μg/m3, respectively. Exposure to PM1 and PM2.5 during pregnancy and the first year of life was associated with an increased risk of AR in children, and the OR estimates were higher for each 10-μg/m3 increase in PM1 than for PM2.5 (e.g., 1.132 [95% CI: 1.022-1.254] vs. 1.079 [95% CI: 1.014-1.149] in pregnancy; 1.151 [95% CI: 1.014-1.306] vs. 1.095 [95% CI: 1.008-1.189] in the first year of life). No associations were observed between AR and both pre- and post-natal exposure to PM1-2.5, indicating that PM1 rather than PM1-2.5 contributed to the association between PM2.5 and childhood AR. In trimester-stratified analysis, childhood AR was only found to be associated with exposure to PM1 (OR = 1.077, 95% CI: 1.027-1.128), PM2.5 (OR = 1.048, 95% CI: 1.018-1.078), and PM10 (OR = 1.032, 95% CI: 1.007-1.058) during the third trimester of pregnancy. Subgroup analysis suggested stronger PM-AR associations among younger (<5 years old) and winter-born children. CONCLUSIONS Prenatal and postnatal exposures to ambient PM1 and PM2.5 were associated with an increased risk of childhood AR, and PM2.5-related hazards could be predominantly attributed to PM1. These findings highlighted public health significance of formulating air quality guideline for ambient PM1 in mitigating children's AR burden caused by particulate air pollution.
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Affiliation(s)
- Yachen Li
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Lifeng Zhu
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
| | - Chuansha Wu
- Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Zhuohui Zhao
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200030, China
| | - Dan Norbäck
- Department of Medical Sciences, Uppsala University, Uppsala SE 75185, Sweden
| | - Xin Zhang
- Research Centre for Environmental Science and Engineering, Shanxi University, Taiyuan 030006, China
| | - Chan Lu
- Department of Occupational and Environmental Health, School of Public Health, Xiangya Medical College, Central South University, Changsha 410078, China
| | - Wei Yu
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing 400045, China
| | - Tingting Wang
- School of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China
| | - Xiaohong Zheng
- School of Energy and Environment, Southeast University, Nanjing 210096, China
| | - Ling Zhang
- Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
| | - Yunquan Zhang
- Institute of Social Development and Health Management, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
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Li Y, Yu B, Yin L, Li X, Nima Q. Long-term exposure to particulate matter is associated with elevated blood pressure: Evidence from the Chinese plateau area. J Glob Health 2024; 14:04039. [PMID: 38483442 PMCID: PMC10939114 DOI: 10.7189/jogh.14.04039] [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: 03/17/2024] Open
Abstract
Background Ambient air pollution could increase the risk of hypertension; however, evidence regarding the relationship between long-term exposure to particulate matter and elevated blood pressure in plateau areas with lower pollution levels is limited. Methods We assessed the associations of long-term exposure to particulate matter (PM, PM1, PM2.5, and PM10) with hypertension, diastolic blood pressure (DBP), systolic blood pressure (SBP) and pulse pressure (PP) in 4.235 Tibet adults, based on the baseline of the China multi-ethnic cohort study (CMEC) in Lhasa city, Tibet from 2018-19. We used logistic regression and linear regression models to evaluate the associations of ambient PM with hypertension and blood pressure, respectively. Results Long-term exposure to PM1, PM2.5, and PM10 is positively associated with hypertension, DBP, and SBP, while negatively associated with PP. Among these air pollutants, PM10 had the strongest effect on hypertension, DBP, and SBP, while PM2.5 had the strongest effect on PP. The results showed for hypertension odds ratio (OR) = 1.99; 95% confidence interval (CI) = 1.58, 2.51 per interquartile range (IQR) μg/m3 increase in PM1, OR = 1.93; 95% CI = 1.55, 2.40 per IQR μg/m3 increase in PM2.5, and OR = 2.12; 95% CI = 1.67, 2.68 per IQR μg/m3 increase in PM10. Conclusions Long-term exposure to ambient air pollution was associated with an increased risk of hypertension, elevated SBP and DBP levels, and decreased PP levels. To reduce the risk of hypertension and PP reduction, attention should be paid to air quality interventions in plateau areas with low pollution levels.
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Affiliation(s)
- Yajie Li
- Tibet Centre for Disease Control and Prevention, Lhasa, Tibet Autonomous Region, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University – Hong Kong Polytechnic University, Chengdu, China
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Li Yin
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Dali University, Dali, China
| | - Xianzhi Li
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Dali University, Dali, China
| | - Qucuo Nima
- Tibet Centre for Disease Control and Prevention, Lhasa, Tibet Autonomous Region, China
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Na S, Park JT, Kim S, Han J, Jung S, Kwak K. Association between ambient particulate matter levels and hypertension: results from the Korean Genome and Epidemiology Study. Ann Occup Environ Med 2023; 35:e51. [PMID: 38274360 PMCID: PMC10808086 DOI: 10.35371/aoem.2023.35.e51] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 10/19/2023] [Accepted: 11/15/2023] [Indexed: 01/27/2024] Open
Abstract
Background Recently, there has been increasing worldwide concern about outdoor air pollution, especially particulate matter (PM), which has been extensively researched for its harmful effects on the respiratory system. However, sufficient research on its effects on cardiovascular diseases, such as hypertension, remains lacking. In this study, we examine the associations between PM levels and hypertension and hypothesize that higher PM concentrations are associated with elevated blood pressure. Methods A total of 133,935 adults aged ≥ 40 years who participated in the Korean Genome and Epidemiology Study were analyzed. Multiple linear regression analyses were conducted to investigate the short- (1-14 days), medium- (1 and 3 months), and long-term (1 and 2 years) impacts of PM on blood pressure. Logistic regression analyses were conducted to evaluate the medium- and long-term effects of PM on blood pressure elevation after adjusting for sex, age, body mass index, health-related lifestyle behaviors, and geographic areas. Results Using multiple linear regression analyses, both crude and adjusted models generated positive estimates, indicating an association with increased blood pressure, with all results being statistically significant, with the exception of PM levels over the long-term period (1 and 2 years) in non-hypertensive participants. In the logistic regression analyses on non-hypertensive participants, moderate PM10 (particulate matter with diameters < 10 μm) and PM2.5 (particulate matter with diameters < 2.5 μm) levels over the long-term period and all high PM10 and PM2.5 levels were statistically significant after adjusting for various covariates. Notably, high PM2.5 levels of the 1 year exhibited the highest odds ratio of 1.23 (95% confidence interval: 1.19-1.28) after adjustment. Conclusions These findings suggest that both short- and long-term exposure to PM is associated with blood pressure elevation.
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Affiliation(s)
- Sewhan Na
- Department of Occupational and Environmental Medicine, Korea University Ansan Hospital, Ansan, Korea
- Department of Environmental Health Sciences, Seoul National University Graduate School of Public Health, Seoul, Korea
| | - Jong-Tae Park
- Department of Occupational and Environmental Medicine, Korea University Ansan Hospital, Ansan, Korea
- Department of Occupational and Environmental Medicine, Korea University College of Medicine, Seoul, Korea
- Department of Environmental and Occupational Health, Korea University Graduate School of Public Health, Seoul, Korea
| | - Seungbeom Kim
- Department of Occupational and Environmental Medicine, Korea University Ansan Hospital, Ansan, Korea
| | - Jinwoo Han
- Department of Occupational and Environmental Medicine, Korea University Ansan Hospital, Ansan, Korea
| | - Saemi Jung
- Department of Occupational and Environmental Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Kyeongmin Kwak
- Department of Occupational and Environmental Medicine, Korea University Ansan Hospital, Ansan, Korea
- Department of Occupational and Environmental Medicine, Korea University College of Medicine, Seoul, Korea
- Department of Environmental and Occupational Health, Korea University Graduate School of Public Health, Seoul, Korea
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Sun Y, Zhang M, Wu W, Liu R, Zhang Y, Su S, Zhang E, Sun L, Yue W, Wu Q, Chen G, Zhang W, Yin C. Ambient cold exposure amplifies the effect of ambient PM 1 on blood pressure and hypertensive disorders of pregnancy among Chinese pregnant women: A nationwide cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 897:165234. [PMID: 37400028 DOI: 10.1016/j.scitotenv.2023.165234] [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: 09/03/2022] [Revised: 05/05/2023] [Accepted: 06/28/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND Little evidence exists regarding the combined effect between ambient temperature and air pollution exposure on maternal blood pressure (BP) and hypertensive disorders of pregnancy (HDP). OBJECTIVES To assess effect modification by temperature exposure on the PM1-BP/HDP associations among Chinese pregnant women based on a nationwide study. METHODS We conducted a cross-sectional country-based population study in China, enrolling 86,005 participants from November 2017 to December 2021. BP was measured with standardized sphygmomanometers. HDP was defined according to the American College of Obstetricians and Gynecologists' recommendations. Daily temperature data were obtained from the European Centre for Medium-Range Weather Forecasts. PM1 concentrations were evaluated using generalized additive model. Generalized linear mixed models were used to examine the health effects, controlling for multiple covariates. We also performed a series of stratified and sensitivity analyses. RESULTS The pro-hypertensive effect of PM1 was observed in the first trimester. Cold exposure amplifies the first-trimester PM1-BP/HDP associations, with adjusted estimate (aβ) for systolic blood pressure (SBP) of 3.038 (95 % CI: 2.320-3.755), aβ for diastolic blood pressure (DBP) of 2.189 (95 % CI: 1.503-2.875), and aOR for HDP of 1.392 (95 % CI: 1.160-1.670). Pregnant women who were educated longer than 17 years or living in urban areas appeared to be more vulnerable to the modification in the first trimester. These findings remained robust after sensitivity analyses. CONCLUSIONS First trimester maybe the critical exposure window for the PM1-BP/HDP associations among Chinese pregnant women. Cold exposure amplifies the associations, and those with higher education level or living in urban areas appeared to be more vulnerable.
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Affiliation(s)
- Yongqing Sun
- Prenatal Diagnosis Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Man Zhang
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Wenjing Wu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Ruixia Liu
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Yue Zhang
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Shaofei Su
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Enjie Zhang
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Lijuan Sun
- Department of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Wentao Yue
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Qingqing Wu
- Department of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China.
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne VIC3004, Australia.
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China.
| | - Chenghong Yin
- Prenatal Diagnosis Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing 100026, China.
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Zhang M, Yang BY, Zhang Y, Sun Y, Liu R, Zhang Y, Su S, Zhang E, Zhao X, Chen G, Wu Q, Hu L, Zhang Y, Wang L, Luo Y, Liu X, Li J, Wu S, Mi X, Zhang W, Dong G, Yin C, Yue W. Association of ambient PM 1 exposure with maternal blood pressure and hypertensive disorders of pregnancy in China. iScience 2023; 26:106863. [PMID: 37255659 PMCID: PMC10225929 DOI: 10.1016/j.isci.2023.106863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 03/30/2023] [Accepted: 05/08/2023] [Indexed: 06/01/2023] Open
Abstract
Evidence concerning PM1 exposure, maternal blood pressure (BP), and hypertensive disorders of pregnancy (HDP) is sparse. We evaluated the associations using 105,063 participants from a nationwide cohort. PM1 concentrations were evaluated using generalized additive model. BP was measured according to the American Heart Association recommendations. Generalized linear mixed models were used to assess the PM1-BP/HDP associations. Each 10 μg/m3 higher first-trimester PM1 was significantly associated with 1.696 mmHg and 1.056 mmHg higher first-trimester SBP and DBP, and with 11.4% higher odds for HDP, respectively. The above associations were stronger among older participants (> 35 years) or those educated longer than 17 years or those with higher household annual income (> 400,000 CNY). To conclude, first-trimester PM1 were positively associated with BP/HDP, which may be modified by maternal age, education level, and household annual income. Further research is warranted to provide more information for both health management of HDP and environmental policies enactment.
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Affiliation(s)
- Man Zhang
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Bo-Yi Yang
- 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
| | - Yuqin Zhang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yongqing Sun
- Prenatal Diagnosis Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Ruixia Liu
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Yue Zhang
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Shaofei Su
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Enjie Zhang
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Xiaoting Zhao
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Qizhen Wu
- 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
| | - Lixin Hu
- 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
| | - Yunting Zhang
- 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
| | - Lebing Wang
- 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
| | - Yana Luo
- 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
| | - Xiaoxuan Liu
- 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
| | - Jiaxin Li
- 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
| | - Sihan Wu
- 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
| | - Xin Mi
- 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
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guanghui 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
| | - Chenghong Yin
- Prenatal Diagnosis Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
| | - Wentao Yue
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
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8
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Abstract
As the world's population becomes increasingly urbanized, there is growing concern about the impact of urban environments on cardiovascular health. Urban residents are exposed to a variety of adverse environmental exposures throughout their lives, including air pollution, built environment, and lack of green space, which may contribute to the development of early cardiovascular disease and related risk factors. While epidemiological studies have examined the role of a few environmental factors with early cardiovascular disease, the relationship with the broader environment remains poorly defined. In this article, we provide a brief overview of studies that have examined the impact of the environment including the built physical environment, discuss current challenges in the field, and suggest potential directions for future research. Additionally, we highlight the clinical implications of these findings and propose multilevel interventions to promote cardiovascular health among children and young adults.
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Affiliation(s)
- Kai Zhang
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY, USA
| | - Robert D Brook
- Division of Cardiovascular Diseases, Department of Internal Medicine, Wayne State University, Detroit, MI, USA
| | - Yuanfei Li
- Department of Sociology, University at Albany, State University of New York, Albany, NY, USA
| | - Sanjay Rajagopalan
- Cardiovascular Research Institute, University Hospitals Harrington Heart and Vascular Institute, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Juyong Brian Kim
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA
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9
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Xia X, Niu X, Chan K, Xu H, Shen Z, Cao JJ, Wu S, Qiu H, Ho KF. Effects of indoor air purification intervention on blood pressure, blood‑oxygen saturation, and heart rate variability: A double-blinded cross-over randomized controlled trial of healthy young adults. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 874:162516. [PMID: 36868269 DOI: 10.1016/j.scitotenv.2023.162516] [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: 11/19/2022] [Revised: 02/14/2023] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
The use of indoor air purifier (IAP) has received growing attention as a mitigation strategy for reducing indoor air pollution, but the evidence on their cardiovascular benefits is unclear. This study aims to evaluate whether the use of IAP can reduce the adverse effects of indoor particulate matter (PM) on cardiovascular health among young healthy population. A randomized, double-blind, cross-over, IAP intervention of 38 college students was conducted. The participants were assigned into two groups to receive the true and sham IAPs for 36 h in random order. Systolic and diastolic blood pressure (SBP; DBP), blood oxygen saturation (SpO2), heart rate variability (HRV) and indoor size-fractioned particulate matter (PM) were real-time monitored throughout the intervention. We found that IAP could reduce indoor PM by 41.7-50.5 %. Using IAP was significantly associated with a reduction of 2.96 mmHg (95 % CI: -5.71, -0.20) in SBP. Increased PM was significantly associated with increased SBP (e.g., 2.17 mmHg [0.53, 3.81], 1.73 mmHg [0.32, 3.14] and 1.51 mmHg [0.28, 2.75] for an IQR increment of PM1 [16.7 μg/m3], PM2.5 [20.6 μg/m3] and PM10 [37.9 μg/m3] at lag 0-2 h, respectively) and decreased SpO2 (-0.44 % [-0.57, -0.29], -0.41 % [-0.53, -0.30] and - 0.40 % [-0.51, -0.30] for PM1, PM2.5 and PM10 at lag 0-1 h, respectively), which could last for about 2 h. Using IAPs could halve indoor PM levels, even in relatively low air pollution settings. The exposure-response relationships suggested that the benefits of IAPs on BP may only be observed when indoor PM exposure is reduced to a certain level.
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Affiliation(s)
- Xi Xia
- School of Public Health, Shaanxi University of Chinese Medicine, China
| | - Xinyi Niu
- School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, China.
| | - Kahung Chan
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, UK
| | - Hongmei Xu
- Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, China
| | - ZhenXing Shen
- Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Jun-Ji Cao
- Key Laboratory of Aerosol Chemistry & Physics (KLACP), Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
| | - ShaoWei Wu
- School of Public Health, Xi'an Jiaotong University, China
| | - Hong Qiu
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong
| | - Kin-Fai Ho
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong.
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10
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Liu Y, Li Y, Xu H, Zhao X, Zhu Y, Zhao B, Yao Q, Duan H, Guo C, Li Y. Pre- and postnatal particulate matter exposure and blood pressure in children and adolescents: A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2023; 223:115373. [PMID: 36731599 DOI: 10.1016/j.envres.2023.115373] [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: 10/12/2022] [Revised: 01/10/2023] [Accepted: 01/25/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Early life is a susceptible period of air pollution-related adverse health effects. Hypertension in children might be life-threatening without prevention or treatment. Nevertheless, the causative association between environmental factors and childhood hypertension was limited. In the light of particulate matter (PM) as an environmental risk factor for cardiovascular diseases, this study investigated the association of pre- and postnatal PM exposure with blood pressure (BP) and hypertension among children and adolescents. METHOD Four electronic databases were searched for related epidemiological studies published up to September 13, 2022. Stata 14.0 was applied to examine the heterogeneity among the studies and evaluate the combined effect sizes per 10 μg/m3 increase of PM by selecting the corresponding models. Besides, subgroup analysis, sensitivity analysis, and publication bias test were also conducted. RESULTS Prenatal PM2.5 exposure was correlated with increased diastolic blood pressure (DBP) in offspring [1.14 mmHg (95% CI: 0.12, 2.17)]. For short-term postnatal exposure effects, PM2.5 (7-day average) was significantly associated with systolic blood pressure (SBP) [0.20 mmHg (95% CI: 0.16, 0.23)] and DBP [0.49 mmHg (95% CI: 0.45, 0.53)]; and also, PM10 (7-day average) was significantly associated with SBP [0.14 mmHg (95% CI: 0.12, 0.16)]. For long-term postnatal exposure effects, positive associations were manifested in SBP with PM2.5 [β = 0.44, 95% CI: 0.40, 0.48] and PM10 [β = 0.35, 95% CI: 0.19, 0.51]; DBP with PM1 [β = 0.45, 95% CI: 0.42, 0.49], PM2.5 [β = 0.31, 95% CI: 0.27, 0.35] and PM10 [β = 0.32, 95% CI: 0.19, 0.45]; and hypertension with PM1 [OR = 1.43, 95% CI: 1.40, 1.46], PM2.5 [OR = 1.65, 95% CI: 1.29, 2.11] and PM10 [OR = 1.26, 95% CI: 1.09, 1.45]. CONCLUSION Both prenatal and postnatal exposure to PM can increase BP, contributing to a higher prevalence of hypertension in children and adolescents.
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Affiliation(s)
- Yufan Liu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Yan Li
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China; Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Hailin Xu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Xinying Zhao
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Yawen Zhu
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China; Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Bosen Zhao
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Qing Yao
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China
| | - Huawei Duan
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Caixia Guo
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China; Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, China.
| | - Yanbo Li
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China.
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11
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Niu Z, Duan Z, Yu H, Xue L, Liu F, Yu D, Zhang K, Han D, Wen W, Xiang H, Qin W. Association between long-term exposure to ambient particulate matter and blood pressure, hypertension: an updated systematic review and meta-analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023; 33:268-283. [PMID: 34983264 DOI: 10.1080/09603123.2021.2022106] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 12/18/2021] [Indexed: 06/14/2023]
Abstract
Evidence of more recent studies should be updated to evaluate the effect of long-term exposure to particulate matter (PM) on blood pressure and hypertension. Studies of long-term effects of PM1, PM2.5 and PM10 on blood pressure (SBP, DBP, MAP), hypertension were searched in Pubmed, Web of Science and Embase before May, 2021. Meta-analysis of 41 studies showed that exposure to PM1, PM2.5 was associated with SBP (1.76 mmHg (95%CI:0.71, 2.80) and 0.63 mmHg (95%CI:0.40, 0.85), per 10 μg/m3 increase in PM), all three air pollutants (PM1, PM2.5, PM10) was associated with DBP (1.16 mmHg (95%CI:0.34, 1.99), 0.31 mmHg (95%CI:0.16, 0.47), 1.17 mmHg (95%CI:0.24, 2.09), respectively. As for hypertension, PM1, PM2.5 and PM10 were all significantly associated with higher risk of hypertension (OR=1.27 (95%CI:1.06, 1.52), 1.15 (95%CI:1.10, 1.20) and 1.11 (95%CI:1.07, 1.16). In conclusion, our study indicated a positive association between long-term exposure to particulate matter and increased blood pressure, hypertension.
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Affiliation(s)
- Zhiping Niu
- Department of Urology, Xijing Hospital, the Fourth Military Medical University, Xi'an, China
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Zhizhou Duan
- Preventive Health Service, Jiangxi Provincial People's Hospital, Affiliated People's Hospital of Nanchang University, Jiangxi, China
| | - Hongmei Yu
- Pukou District Center for Disease Control and Prevention, Nanjing, China
| | - Lina Xue
- Department of Medical Affairs, Tangdu Hospital, the Fourth Military Medical University, Xi'an, China
| | - Feifei Liu
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Dong Yu
- Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Keying Zhang
- Department of Urology, Xijing Hospital, the Fourth Military Medical University, Xi'an, China
| | - Donghui Han
- Department of Urology, Xijing Hospital, the Fourth Military Medical University, Xi'an, China
| | - Weihong Wen
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an, China
| | - Hao Xiang
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Weijun Qin
- Department of Urology, Xijing Hospital, the Fourth Military Medical University, Xi'an, China
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12
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Karamanos A, Lu Y, Mudway IS, Ayis S, Kelly FJ, Beevers SD, Dajnak D, Fecht D, Elia C, Tandon S, Webb AJ, Grande AJ, Molaodi OR, Maynard MJ, Cruickshank JK, Harding S. Associations between air pollutants and blood pressure in an ethnically diverse cohort of adolescents in London, England. PLoS One 2023; 18:e0279719. [PMID: 36753491 PMCID: PMC9907839 DOI: 10.1371/journal.pone.0279719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 12/13/2022] [Indexed: 02/09/2023] Open
Abstract
Longitudinal evidence on the association between air pollution and blood pressure (BP) in adolescence is scarce. We explored this association in an ethnically diverse cohort of schoolchildren. Sex-stratified, linear random-effects modelling was used to examine how modelled residential exposure to annual average nitrogen dioxide (NO2), particulate matter (PM2.5, PM10) and ozone (O3), measures in μg/m3, associated with blood pressure. Estimates were based on 3,284 adolescents; 80% from ethnic minority groups, recruited from 51 schools, and followed up from 11-13 to 14-16 years old. Ethnic minorities were exposed to higher modelled annual average concentrations of pollution at residential postcode level than their White UK peers. A two-pollutant model (NO2 & PM2.5), adjusted for ethnicity, age, anthropometry, and pubertal status, highlighted associations with systolic, but not diastolic BP. A μg/m3 increase in NO2 was associated with a 0.30 mmHg (95% CI 0.18 to 0.40) decrease in systolic BP for girls and 0.19 mmHg (95% CI 0.07 to 0.31) decrease in systolic BP for boys. In contrast, a 1 μg/m3 increase in PM2.5 was associated with 1.34 mmHg (95% CI 0.85 to 1.82) increase in systolic BP for girls and 0.57 mmHg (95% CI 0.04 to 1.03) increase in systolic BP for boys. Associations did not vary by ethnicity, body size or socio-economic advantage. Associations were robust to adjustments for noise levels and lung function at 11-13 years. In summary, higher ambient levels of NO2 were associated with lower and PM2.5 with higher systolic BP across adolescence, with stronger associations for girls.
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Affiliation(s)
- A. Karamanos
- School of Life Course/Nutritional Sciences, King’s College London, London, United Kingdom
| | - Y. Lu
- School of Life Course/Nutritional Sciences, King’s College London, London, United Kingdom
- Clinical Research Center of The Third Xiangya Hospital, Central South University, Changsha, China
| | - I. S. Mudway
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, London, United Kingdom
| | - S. Ayis
- Faculty of Life Sciences & Medicine, Department of Population Health Sciences, School of Population Health & Environmental Sciences, King’s College London, London, United Kingdom
| | - F. J. Kelly
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, London, United Kingdom
| | - S. D. Beevers
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, London, United Kingdom
| | - D. Dajnak
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, London, United Kingdom
| | - D. Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, London, United Kingdom
| | - C. Elia
- School of Life Course/Nutritional Sciences, King’s College London, London, United Kingdom
| | - S. Tandon
- Faculty of Life Sciences & Medicine, Department of Population Health Sciences, School of Population Health & Environmental Sciences, King’s College London, London, United Kingdom
| | - A. J. Webb
- Faculty of Life Sciences & Medicine, Department of Clinical Pharmacology, King’s College London BHF Centre of Excellence, School of Cardiovascular Medicine and Sciences, King’s College, London, United Kingdom
| | - A. J. Grande
- Curso de Medicina, Universidade Estadual do Mato Grosso do Sul, Campo Grande, MS, Brazil
| | - O. R. Molaodi
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, Scotland
| | - M. J. Maynard
- School of Clinical & Applied Sciences, Leeds Beckett University, Leeds, United Kingdom
| | - J. K. Cruickshank
- School of Life Course/Nutritional Sciences, King’s College London, London, United Kingdom
| | - S. Harding
- School of Life Course/Nutritional Sciences, King’s College London, London, United Kingdom
- Faculty of Life Sciences & Medicine, Department of Population Health Sciences, School of Population Health & Environmental Sciences, King’s College London, London, United Kingdom
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13
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Tandon S, Grande AJ, Karamanos A, Cruickshank JK, Roever L, Mudway IS, Kelly FJ, Ayis S, Harding S. Association of Ambient Air Pollution with Blood Pressure in Adolescence: A Systematic-review and Meta-analysis. Curr Probl Cardiol 2023; 48:101460. [PMID: 36265590 DOI: 10.1016/j.cpcardiol.2022.101460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 10/13/2022] [Indexed: 01/04/2023]
Abstract
We systematically reviewed the association of ambient air pollution with blood pressure (BP) as a primary outcome in adolescents (10-19 years). Five databases (Ovid Medline, Ovid Embase, Web of Science, The Cochrane Library, and LILACS) were searched for relevant articles published up to August 2022. Meta-analyses were conducted using STATA v17 (Protocol - OSF Registries https://doi.org/10.17605/OSF.IO/96G5Q). Eight studies (5 cohort, 3 cross-sectional) with approximately 15,000 adolescents were included. Data from 6 studies were suitable for inclusion in the meta-analyses. In sub-group analyses, non-significant positive associations were observed for cohort studies assessing long-term exposure to PM10, PM2.5, and NO2 on systolic and diastolic BP. At age 12 years old (3702 adolescents), we found significant positive associations for long-term exposure to PM2.5(β=5.33 (1.56, 9.09) mmHg) and PM10 (β=2.47 (0.10, 4.85) mmHg) on diastolic BP. Significant positive associations were observed (3,592 adolescents) for long-term exposure to PM10(β=0.34 (0.19, 0.50) mmHg) and NO2 on diastolic BP (β=0.40 (0.09, 0.71) mmHg), and PM10 on systolic BP (β=0.48 (0.19, 0.77) mmHg). The overall quality of evidence analysed was graded as "low/very low." Insufficient data for short-term exposures to PM2.5, PM10, NO2, CO on BP led to their exclusion from the meta-analysis. Inconsistent associations were reported for gender-stratified results. The evidence, though of low-quality and limited, indicated that ambient air pollution was positively associated with adolescent BP. Future studies need improved measures of air pollutant exposures, consideration of gender and socio-economic circumstances on the observed pollution effects, as well as adjustment for other potential confounding factors.
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Affiliation(s)
- Saniya Tandon
- School of Life Course and Population Health, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Antonio Jose Grande
- School of Life Course and Population Health, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom; Curso de Medicina, Universidade Estadual do Mato Grosso do Sul, Campo Grande, Brazil
| | - Alexis Karamanos
- School of Life Course and Population Health, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - John Kennedy Cruickshank
- School of Life Course and Population Health, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Leonardo Roever
- Department of Clinical Research, Federal University of Uberlandia, Uberlândia, Brazil
| | - Ian Stanley Mudway
- MRC Centre for Environment and Health, Imperial College London, London, United Kingdom; NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, United Kingdom
| | - Frank James Kelly
- MRC Centre for Environment and Health, Imperial College London, London, United Kingdom; NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, United Kingdom
| | - Salma Ayis
- School of Life Course and Population Health, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Seeromanie Harding
- School of Life Course and Population Health, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
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14
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Zhang S, Qian ZM, Chen L, Zhao X, Cai M, Wang C, Zou H, Wu Y, Zhang Z, Li H, Lin H. Exposure to Air Pollution during Pre-Hypertension and Subsequent Hypertension, Cardiovascular Disease, and Death: A Trajectory Analysis of the UK Biobank Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:17008. [PMID: 36696106 PMCID: PMC9875843 DOI: 10.1289/ehp10967] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 11/27/2022] [Accepted: 12/15/2022] [Indexed: 05/28/2023]
Abstract
BACKGROUND The associations between air pollution exposure and morbidity and mortality of cardiovascular diseases (CVDs) have been widely reported; however, evidence on such associations across different dynamic disease trajectories remain unknown. OBJECTIVE We examined whether ambient air pollution during the prehypertension (pre-HTN) stage could aggravate the progression from hypertension (HTN) to CVD, and consequent death. METHODS A total of 168,010 adults with pre-HTN (120 - 139 mmHg systolic blood pressure or 80 - 89 mmHg diastolic blood pressure) from the UK Biobank were included in this analysis. We used a multistate model to explore the associations between five air pollutants (PM 2.5 , PM 2.5 absorbance, PM 10 , NO 2 , and NO x ) and the risk of six disease transitions (from pre-HTN to HTN, from pre-HTN to CVD, from pre-HTN to death, from HTN to CVD, from HTN to death, and from CVD to death). Mediation analyses were further conducted to explore the role of intermediate diseases in the dynamic progression of CVDs. RESULTS During a median follow-up of 12 y, 13,743 (8.18%) of participants with pre-HTN developed HTN, whereas 12,825 (7.63%) and 4,467 (2.66%) directly developed CVD or died, respectively. Air pollution was positively associated with the dynamic disease progression. For example, a per-interquartile range increase of PM 2.5 was significantly associated with the hazard ratios (HRs) of 1.105 [95% confidence intervals (CI): 1.083, 1.127], 1.045 (95% CI: 1.022, 1.068), and 1.086 (95% CI: 1.047, 1.126) in the transition from pre-HTN to HTN, CVD, and death, respectively. Higher levels of air pollution were associated with increased transition probability of disease progression. Mediation analyses indicated that intermediate diseases subsequently significantly mediated air pollutant-associated risk to develop more serious disease. CONCLUSIONS This study provides evidence that air pollution might play a role in the early stages of CVD progression. Controlling air pollution might be an effective measure to prevent CVD progression and reduce the disease burden of CVD. https://doi.org/10.1289/EHP10967.
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Affiliation(s)
- Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, Missouri, USA
| | - Lan Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Hongtao Zou
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yinglin Wu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Haitao Li
- Shenzhen University General Hospital, Shenzhen University Clinical Medical Academy, Shenzhen, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
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15
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Yan M, Hou F, Xu J, Liu H, Liu H, Zhang Y, Liu H, Lu C, Yu P, Wei J, Tang NJ. The impact of prolonged exposure to air pollution on the incidence of chronic non-communicable disease based on a cohort in Tianjin. ENVIRONMENTAL RESEARCH 2022; 215:114251. [PMID: 36063911 DOI: 10.1016/j.envres.2022.114251] [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: 05/07/2022] [Revised: 08/21/2022] [Accepted: 08/30/2022] [Indexed: 06/15/2023]
Abstract
Evidence on the associations of prolonged ambient pollutants exposure with chronic non-communicable diseases among middle-aged and elderly residents is still limited. This prospective cohort study intends to investigate the long-term effects of ambient pollution on hypertension and diabetes incidence among relatively older residents in China. Individual particulate matter exposure levels were estimated by satellite-based model. Individual gaseous pollutants exposure levels were estimated by Inverse Distance Weighted model. A Cox regression model was employed to assess the risks of hypertension and diabetes morbidity linked to air pollutants exposures. The cross-product term of ambient pollutants exposure and covariates was further added into the regression model to test whether covariates would modify these air pollution-morbidity associations. During the period from 2014 to 2018, a total of 97,982 subjects completed follow-up. 12,371 incidents of hypertension and 2034 of diabetes occurred. In the multi-covariates model, the hazard ratios (HR) and 95% confidence interval (CI) were 1.49 (1.45-1.52), 1.28 (1.26-1.30), 1.17 (1.15-1.18), 1.21 (1.17-1.25) and 1.33 (1.31-1.35) for hypertension morbidity per 10 μg/m3 increment in PM1, PM2.5, PM10, NO2 and SO2, respectively. For diabetes onsets, the HR (95% CI) were 1.17 (1.11-1.23), 1.09 (1.04-1.13), 1.06 (1.02-1.09), 1.02 (0.95-1.10), and 1.24 (1.19-1.29), respectively. In addition, for hypertension analyses, the effect estimates were more pronounced in the participants with age <60 years old, BMI ≥24 kg/m2, and frequent alcohol drinking. These findings provided the evidence on elevated risks of morbidity of hypertension and diabetes associated with prolonged ambient pollutants exposure at relatively high levels.
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Affiliation(s)
- Mengfan Yan
- Department of Occupational and Environmental Health Science, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, 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
| | - Fang Hou
- Community Health Service Center, Jiefang Road, Tanggu Street, Binhai New District, Tianjin, China
| | - Jiahui Xu
- Department of Occupational and Environmental Health Science, 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
| | - Huanyu Liu
- Department of Occupational and Environmental Health Science, 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
| | - Hongyan Liu
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, 300134, China
| | - Yourui Zhang
- Community Health Service Center, Jiefang Road, Tanggu Street, Binhai New District, Tianjin, China
| | - Hao Liu
- Community Health Service Center, Jiefang Road, Tanggu Street, Binhai New District, Tianjin, China
| | - Chunlan Lu
- Community Health Service Center, Jiefang Road, Tanggu Street, Binhai New District, Tianjin, China
| | - Pei Yu
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, 300134, China.
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20742, United States.
| | - Nai-Jun Tang
- Department of Occupational and Environmental Health Science, 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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16
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Zong Z, Zhao M, Zhang M, Xu K, Zhang Y, Zhang X, Hu C. Association between PM 1 Exposure and Lung Function in Children and Adolescents: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15888. [PMID: 36497960 PMCID: PMC9740616 DOI: 10.3390/ijerph192315888] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
The detrimental effects of PM2.5 and PM10 (particulate matter less than 2.5 or 10 μm) on human respiratory system, including lung function, have been widely assessed. However, the associations between PM1 (particulate matter of less than 1 μm) and lung function in children and adolescents are less explored, and current evidence is inconsistent. We conducted a meta-analysis of the literature on the association between PM1 and lung function in children and adolescents to fill this gap. With no date or language constraints, we used a combination of MeSH (Medical Subject Headings) terms and free text to search PubMed, EMBASE and Web of Science databases through, 1 October 2022 for "PM1 exposure" and "lung function". A total of 6420 relevant studies were identified through our initial search, and seven studies were included in our study. In this meta-analysis, the fixed effect and random effects statistical models were used to estimate the synthesized effects of the seven included studies. For every 10 μg/m3 increase in short-term PM1 exposure, forced vital capacity (FVC), forced expiratory volume in the first second (FEV1), peak expiratory flow (PEF) and maximal mid-expiratory flow (MMEF) decreased by 31.82 mL (95% CI: 20.18, 43.45), 32.28 mL (95% CI: 16.73, 48.91), 36.85 mL/s (95% CI: 15.33, 58.38) and 34.51 mL/s (95% CI: 19.61, 49.41), respectively. For each 10 μg/m3 increase in long-term PM1 exposure, FVC, FEV1, PEF and MMEF decreased by 102.34 mL (95% CI: 49.30, 155.38), 75.17 mL (95% CI: 39.61, 110.73), 119.01 mL/s (95% CI: 72.14, 165.88) and 44.94 mL/s (95% CI: 4.70, 85.18), respectively. Our study provides further scientific evidence for the harmful effects of PM1 exposure on lung function in children and adolescents, indicating that exposure to PM1 is detrimental to pulmonary health. To reduce the adverse health effects of air pollution on children and adolescents, effective preventive measures should be taken.
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Affiliation(s)
- Zhiqiang Zong
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, Hefei 230032, China
| | - Mengjie Zhao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Mengyue Zhang
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, Hefei 230032, China
| | - Kexin Xu
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, Hefei 230032, China
| | - Yunquan Zhang
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Xiujun Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Chengyang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China
- Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, Hefei 230032, China
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17
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Wu QZ, Xu SL, Tan YW, Qian Z, Vaughn MG, McMillin SE, Dong P, Qin SJ, Liang LX, Lin LZ, Liu RQ, Yang BY, Chen G, Zhang W, Hu LW, Zeng XW, Dong GH. Exposure to ultrafine particles and childhood obesity: A cross-sectional analysis of the Seven Northeast Cities (SNEC) Study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 846:157524. [PMID: 35872203 DOI: 10.1016/j.scitotenv.2022.157524] [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: 02/14/2022] [Revised: 07/16/2022] [Accepted: 07/16/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Studies on the obesogenic effect of air pollution on children have been mixed and sparse. Moreover, due to insufficient air monitoring, few studies have investigated the role of more tiny but unregulated particles (ambient particles with a diameter of 0.1 μm or less, ultrafine particles). OBJECTIVE We sought to explore the associations between long-term exposure to ambient ultrafine particles (UFPs) and childhood obesity in Chinese children. METHODS In this cross-sectional study, we randomly recruited 47,990 children, aged 6-18 years, from seven cities in Northeastern China between 2012 and 2013. Child age- and sex-specific z-scores for body mass index (BMI Z-score) and weight status were generated using the World Health Organization growth reference. Four-year average concentrations of UFPs and airborne particulates of diameter ≤ 1 μm (PM1), ≤2.5 μm (PM2.5), and ≤10 μm (PM10) were estimated at home, using neural network simulated WRF-Chem model and spatiotemporal model, respectively. Confounder-adjusted generalized linear mixed models examined the associations between air pollution and BMI Z-score and the prevalence of childhood obesity. RESULT We found that UFPs exposure was associated with greater childhood BMI Z-score and a higher likelihood of obesity. Compared with the lowest quartile, higher quartiles of UFPs were associated with greater odds for obesity prevalence in children (i.e., the adjusted OR was 1.25; 95 % CI, 1.12-1.39; 1.43; 95 % CI, 1.27-1.61; and 1.41; 95 % CI, 1.25-1.58 for the second, third, and fourth quartile, respectively). Similar associations were observed for PM1, PM2.5, and PM10, and were greater in boys and children living close to roadways. CONCLUSIONS Long-term UFPs exposure was associated with a greater likelihood of childhood obesity, and stronger associations on BMI Z-score were observed in boys and children living close to roadways. This study indicates that more attention should be paid to the health effects of UFPs, and routinely monitoring of UFPs should be considered.
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Affiliation(s)
- Qi-Zhen Wu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shu-Li Xu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Ya-Wen Tan
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhengmin Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63104, USA
| | - Michael G Vaughn
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO 63103, USA
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO 63103, USA
| | - Pengxin Dong
- Nursing College, Guangxi Medical University, Nanning 530021, China
| | - Shuang-Jian Qin
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Li-Xia Liang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Li-Zi Lin
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Ru-Qing Liu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Bo-Yi Yang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Wangjian Zhang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Li-Wen Hu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiao-Wen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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18
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Zhang Q, Meng X, Shi S, Kan L, Chen R, Kan H. Overview of particulate air pollution and human health in China: Evidence, challenges, and opportunities. Innovation (N Y) 2022; 3:100312. [PMID: 36160941 PMCID: PMC9490194 DOI: 10.1016/j.xinn.2022.100312] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/31/2022] [Indexed: 11/25/2022] Open
Abstract
Ambient particulate matter (PM) pollution in China continues to be a major public health challenge. With the release of the new WHO air quality guidelines in 2021, there is an urgent need for China to contemplate a revision of air quality standards (AQS). In the recent decade, there has been an increase in epidemiological studies on PM in China. A comprehensive evaluation of such epidemiological evidence among the Chinese population is central for revision of the AQS in China and in other developing countries with similar air pollution problems. We thus conducted a systematic review on the epidemiological literature of PM published in the recent decade. In summary, we identified the following: (1) short-term and long-term PM exposure increase mortality and morbidity risk without a discernible threshold, suggesting the necessity for continuous improvement in air quality; (2) the magnitude of long-term associations with mortality observed in China are comparable with those in developed countries, whereas the magnitude of short-term associations are appreciably smaller; (3) governmental clean air policies and personalized mitigation measures are potentially effective in protecting public and individual health, but need to be validated using mortality or morbidity outcomes; (4) particles of smaller size range and those originating from fossil fuel combustion appear to show larger relative health risks; and (5) molecular epidemiological studies provide evidence for the biological plausibility and mechanisms underlying the hazardous effects of PM. This updated review may serve as an epidemiological basis for China’s AQS revision and proposes several perspectives in designing future health studies. Acute effects of PM are smaller in China compared with developed countries Health effects caused by PM depend on particle composition, source, and size There are no thresholds for the health effects of PM Mechanistic studies support the biological plausibility of PM’s health effects
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Affiliation(s)
- Qingli Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Lena Kan
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, MD 21205, USA
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China.,Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 201102, China
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19
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Wu H, Zhang Y, Wei J, Bovet P, Zhao M, Liu W, Xi B. Association between short-term exposure to ambient PM 1 and PM 2.5 and forced vital capacity in Chinese children and adolescents. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:71665-71675. [PMID: 35604593 DOI: 10.1007/s11356-022-20842-6] [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: 01/03/2022] [Accepted: 05/11/2022] [Indexed: 05/17/2023]
Abstract
This study aims to examine the association between short-term exposure to ambient PM1, PM1-2.5, and PM2.5 and forced vital capacity (FVC). Population data were obtained from a school-based cross-sectional survey in Shandong in 2014. Distributed lag non-linear models were used to examine the association between exposure to PM1, PM1-2.5, and PM2.5 and FVC at the day of FVC measurement and the previous 6 days (lag 0 to 6 days). A total of 35,334 students aged 9 to 18 years were included in the study, and the mean exposure concentrations of ambient PM1, PM1-2.5, and PM2.5 for them were 47.4 (standard deviation [SD] = 21.3) μg/m3, 32.8 (SD = 32.2) μg/m3, and 80.1 (SD = 47.7) μg/m3, respectively. An inter-quartile range (IQR, 24 μg/m3) increment in exposure to PM1 was significantly associated with a lower FVC at lag 0 and lag 1 day (β = - 80 mL, 95% CI = - 119, - 42, and β = - 37 mL, 95% CI = - 59, - 16, respectively), and an IQR (54 μg/m3) increment in exposure to PM2.5 was significantly associated with a lower FVC at lag 0 and lag 1 day (β = - 57 mL, 95% CI = - 89, - 18, and β = - 34 mL, 95% CI = - 56, - 12, respectively) after adjustment for gender, age, body mass index category, residence, month of the survey, intake of eggs, intake of milk, physical activity, and screen time. No significant associations were observed for PM1-2.5. The inverse associations of PM1 and PM2.5 with FVC were larger in males, younger children, those overweight or obese, and those with insufficient physical activity levels. Short-term exposure to ambient PM1 and PM2.5 was associated with decreased FVC, and PM1 may be the primary fraction of PM2.5 causing the adverse pulmonary effects. Our findings emphasize the need to address ambient PM, especially PM1, pollution for affecting pulmonary health in children and adolescents.
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Affiliation(s)
- Han Wu
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yingxiu Zhang
- Shandong Center for Disease Control and Prevention, Shandong University Institute of Preventive Medicine, Jinan, Shandong, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Pascal Bovet
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Wenhui Liu
- Information and Data Analysis Lab, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
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20
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Chen L, Wang X, Qian ZM, Sun L, Qin L, Wang C, Howard SW, Aaron HE, Lin H. Ambient gaseous pollutants and emergency ambulance calls for all-cause and cause-specific diseases in China: a multicity time-series study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:28527-28537. [PMID: 34988821 DOI: 10.1007/s11356-021-18337-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 12/21/2021] [Indexed: 06/14/2023]
Abstract
Much attention has been paid to the health effects of ambient particulate matter pollution; the effects of gaseous air pollutants have not been well studied. Emergency ambulance calls (EACs) may provide a better indicator of the acute health effects than the widely used health indicators, such as mortality and hospital admission. We estimated the short-term associations between gaseous air pollutants [nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone (O3)] and EACs for all-cause, cardiovascular, and respiratory diseases in seven Chinese cities from 2014 to 2019. We used generalized additive models and random-effects meta-analysis to examine the city-specific and pooled associations. Stratified analyses were conducted by age, sex, and season. A total of 1,626,017 EACs were observed for all-cause EACs, including 230,537 from cardiovascular diseases, and 96,483 from respiratory diseases. Statistically significant associations were observed between NO2 and EACs for all-cause diseases, while the effects of SO2 were positive, but not statistically significant in most models. No significant relationship was found between O3 and EACs. Specifically, each 10 μg/m3 increase in the 2-day moving average concentration of NO2 was associated with a 1.07% [95% confidence interval (CI): 0.40%, 1.76%], 0.76% (95% CI: 0.19%, 1.34%) and 0.06% (95% CI: -1.57%, 1.73%) increase in EACs due to all-cause, cardiovascular and respiratory diseases, respectively. Stratified analysis showed a larger effect of NO2 on all-cause EACs in the cold season [excess relative risk (ERR): 0.33% (95% CI: 0.05%, 0.60%) for warm season, ERR: 0.77% (95% CI: 0.31%, 1.23%) for cold season]. Our study indicates that acute exposures to NO2 might be an important trigger of the emergent occurrence of all-cause, cardiovascular and respiratory diseases, and this effect should be of particular concern in the cold season. Further policy development for controlling gaseous air pollution is warranted to reduce the emergent occurrence of cardiopulmonary diseases.
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Affiliation(s)
- Lan Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Liwen Sun
- Huairou District Center for Disease Control and Prevention, Beijing, 101400, China
| | - Lijie Qin
- Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Steven W Howard
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Hannah E Aaron
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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Li G, Zhang H, Hu M, He J, Yang W, Zhao H, Zhu Z, Zhu J, Huang F. Associations of combined exposures to ambient temperature, air pollution, and green space with hypertension in rural areas of Anhui Province, China: A cross-sectional study. ENVIRONMENTAL RESEARCH 2022; 204:112370. [PMID: 34780789 DOI: 10.1016/j.envres.2021.112370] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 10/08/2021] [Accepted: 11/08/2021] [Indexed: 06/13/2023]
Abstract
Hypertension (HTN) was a major preventable cause of cardiovascular disease (CVD), contributing to a huge disease burden. Ambient temperature, air pollution and green space were important influencing factors of HTN, and few studies have assessed the effects and interactions of ambient temperature, air pollution and green space on HTN in rural areas. In this study, we selected 8400 individuals randomly in rural areas of Anhui Province by a multi-stage stratified cluster sampling. A total of 8383 individuals were included in the final analysis. We collected particulate pollutants and meteorological data from the local air quality monitoring stations and National Center for Meteorological Science from January 1 to December 31, 2020, respectively. The normalized differential vegetation index (NDVI) of Anhui Province in 2020 was produced and processed by remote sensing inversion on the basis of medium resolution satellite images. The average annual mean exposure concentrations of air pollution, meteorological factors, and NDVI were calculated for each individual based on the geocoded residential address. HTN was defined according the Chinese Guidelines for Prevention and Treatment of HTN. The effects and interactions of ambient temperature, air pollution and green space on HTN were evaluated by generalized linear model and interaction model, respectively. In this study, the prevalence of HTN was 24.14%. The adjusted odd ratio of HTN for each 1 μg/m3 increasing in PM2.5 and PM10, 1 °C of ambient temperature, and 0.1 of NDVI were:1.276 (1.013, 1.043), 1.012 (1.006, 1.018), 0.862 (0.862, 0.981) and 0.669 (0.611, 0.733), respectively. The results showed that air pollutants were positively correlated with HTN, while ambient temperature and green space were negatively correlated with HTN. Meanwhile, the negative associations of green space on HTN could decrease with the increasing concentrations of air pollution, but increase with the rising of ambient temperature.
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Affiliation(s)
- Guoao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Hanshuang Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Mingjun Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Jialiu He
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Wanjun Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Huanhuan Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Zhenyu Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Jinliang Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Fen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.
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22
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Zhao M, Xu Z, Guo Q, Gan Y, Wang Q, Liu JA. Association between long-term exposure to PM 2.5 and hypertension: A systematic review and meta-analysis of observational studies. ENVIRONMENTAL RESEARCH 2022; 204:112352. [PMID: 34762927 DOI: 10.1016/j.envres.2021.112352] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 11/04/2021] [Accepted: 11/05/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Numerous studies have examined the association between long-term exposure to particulate matter with an aerodynamic diameter of ≤2.5 μm (PM2.5) and hypertension. However, the results are inconsistent. OBJECTIVES Considering the limitations of previous meta-analyses and the publication of many new studies in recent years, we conducted this meta-analysis to assess the relationship between long-term PM2.5 exposure and the incidence and prevalence of hypertension in a healthy population. METHODS We searched PubMed, Web of Science, Embase, and Scopus for relevant studies published until April 2, 2021 and reviewed the reference lists of previous reviews. A total of 28 observational studies reporting RR or OR with 95% CI for the association between long-term PM2.5 exposure and the risk of hypertension were included. RESULTS After the sensitivity analysis, we excluded one study with a high degree of heterogeneity, resulting in 27 studies and 28 independent reports. Approximately 42 million participants were involved, and the cases of hypertension in cohort and cross-sectional studies were 508,749 and 1,793,003, respectively. The meta-analysis showed that each 10 μg/m3 increment in PM2.5 was significantly associated with the risks of hypertension incidence (RR = 1.21, 95% CI: 1.07, 1.35) and prevalence (OR = 1.06, 95% CI: 1.03, 1.09). Subgroup analyses showed that occupational exposure had a significant effect on the association of PM2.5 and hypertension incidence (p for interaction = 0.042) and that the PM2.5 concentration level and physical activity had a noticeable effect on the association of PM2.5 and hypertension prevalence (p for interaction = 0.005; p for interaction = 0.022). CONCLUSIONS A significantly positive correlation was observed between long-term PM2.5 exposure and risks of hypertension incidence and prevalence, and a high PM2.5 concentration resulted in an increased risk of hypertension.
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Affiliation(s)
- Mingqing Zhao
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ziyuan Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Qianqian Guo
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yong Gan
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Qi Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jun-An Liu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Zhang J, Wang Y, Feng L, Hou C, Gu Q. Effects of air pollution and green spaces on impaired lung function in children: a case-control study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:11907-11919. [PMID: 34553284 DOI: 10.1007/s11356-021-16554-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Accepted: 09/11/2021] [Indexed: 05/10/2023]
Abstract
The occurrences of impaired lung function during childhood could substantially influence the health states of the respiratory system in adults. So, the effects of air pollution and green spaces on impaired lung function in children were investigated in this study. The lung function of each student was tested every year from 2015 to 2017 and the method of case-control study was applied. 2087 students aged from 9 to 11 years old of primary schools in Tianjin were ultimately included in this study. The method of propensity score matching (PSM) was performed to minimize the confounding bias and the conditional logistic regression model was carried out to evaluate the effects of indoor and outdoor environmental risk factors on the occurrences of impaired lung function in children. For every interquartile range (IQR) increase in the mixture of six air pollutants at the lag1, lag2, and lag3 periods, the risks of getting impaired lung function were increased by 53.4%, 34.7%, and 16.9%, respectively. The protective effect of greenness at lag2 period (odds ratios (OR)) = 0.022 (95% confidence interval (CI): 0.008-0.035)) was stronger than that at lag1and lag3 periods, respectively. Separate and combined effects of most air pollutants at different lag periods exerted hazardous effects on the lung function of students. Exposure to greenness had protective effects on the lung health of children.
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Affiliation(s)
- Jingwei Zhang
- Department of Environment and Health, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China
| | - Yuming Wang
- School of Public Health, Tianjin Medical University, No.22 Qixiangtai Rd, Tianjin, China
| | - Lihong Feng
- Department of Environment and Health, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China
| | - Changchun Hou
- Department of Environment and Health, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China
| | - Qing Gu
- Department of Environment and Health, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China.
- School of Public Health, Tianjin Medical University, No.22 Qixiangtai Rd, Tianjin, China.
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Zheng H, Yi W, Ding Z, Xu Z, Ho HC, Cheng J, Hossain MZ, Song J, Fan Y, Ni J, Wang Q, Xu Y, Wei J, Su H. Evaluation of life expectancy loss associated with submicron and fine particulate matter (PM 1 and PM 2.5) air pollution in Nanjing, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:68134-68143. [PMID: 34268691 DOI: 10.1007/s11356-021-15244-z] [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: 05/05/2021] [Accepted: 06/28/2021] [Indexed: 06/13/2023]
Abstract
Particulate matters with an aerodynamic diameter ≤1 μm (PM1) significantly increased mortality risk, and the effect of PM1 was even greater than that of PM2.5 (aerodynamic diameter ≤2.5 μm). But the quantitative impact of PM1 on life expectancy was unknown. We aim to examine the extent to which that people's life expectancy was shortened by PM1 and PM2.5. We obtained daily data on deaths, PM1 and PM2.5 records, and weather variables during 2016-2017 in Nanjing, China. Years of life lost (YLLs) were calculated by matching each decedent's age and sex to the Chinese life table. The fitted nonlinear dose-response associations of YLLs with PM1 and PM2.5 were estimated by utilizing a generalized additive model with a Gaussian link that controlled for confounding factors including meteorological variables, day of week, and long-term trend and seasonality. The effect estimates were presented as the YLLs when PM1 and PM2.5 concentrations fell in different ranges. Life expectancy losses attributable to PM1 and PM2.5 were calculated. Stratified analyses were also performed by age, sex, and death causes. Significant PM-YLL associations were observed, with greater increases in YLLs associated with PM1 (68.9 thousand). PM1 was estimated to reduce life expectancy, which was greater than PM2.5 (PM1: 1.67 years; PM2.5: 1.55 years). For PM1, greater years of loss in PM-related life expectancy were found in the female group, ≥65 years group, and cardiovascular disease group. Exposure to PM1 had a greater impact on life expectancy loss than did PM2.5. Constant efforts are urgently needed to control PM1 air pollution to improve people's longevity.
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Affiliation(s)
- Hao Zheng
- Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Zhen Ding
- Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Zhiwei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Hung Chak Ho
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China
- School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Mohammad Zahid Hossain
- International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B), Dhaka, Bangladesh
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yinguang Fan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Jing Ni
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Qingqing Wang
- Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Yan Xu
- Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Jing Wei
- Department of Chemical and Biochemical Engineering, Iowa Technology Institute, Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA, USA.
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA.
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China.
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25
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Qin P, Luo X, Zeng Y, Zhang Y, Li Y, Wu Y, Han M, Qie R, Wu X, Liu D, Huang S, Zhao Y, Feng Y, Yang X, Hu F, Sun X, Hu D, Zhang M. Long-term association of ambient air pollution and hypertension in adults and in children: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 796:148620. [PMID: 34274662 DOI: 10.1016/j.scitotenv.2021.148620] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 06/16/2021] [Accepted: 06/19/2021] [Indexed: 06/13/2023]
Abstract
AIMS The association of long-term ambient air pollution and hypertension has been inconsistently reported. We performed an updated systematic review and meta-analysis to assess the association between long-term exposure to ambient air pollution and risk of hypertension in adults and in children. METHODS PubMed, EMBASE, and Web of Science were searched up to August 7, 2020 for published articles examining the association of long-term exposure to ambient air pollution, including particulate matter (PM; ultrafine particles, PM1, PM1-2.5, PM2.5, PM2.5-10 and PM10), nitrogen dioxide (NO2), nitrogen oxides (NOx), sulfur dioxide (SO2), ozone (O3), carbon monoxide (CO) and hypertension. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) for hypertension with each 10-μg/m3 increase in air pollutants were calculated by random-effects models. RESULTS We included 57 studies (53 of adults and 4 of children) in the meta-analysis. Risk of hypertension was significantly increased in adults with each 10-μg/m3 increase in exposure to PM2.5 (OR 1.10, 95% CI 1.07-1.14; I2 = 93.1%; n = 37), PM10 (1.04, 1.02-1.07; I2 = 44.8%; n = 22), and SO2 (1.21, 1.08-1.36; I2 = 96.6%; n = 3). Hypertension was not significantly associated with PM1 (n = 2), PM2.5-10 (n = 16), NO2 (n = 27), or NOx (n = 17). In children, the summary ORs (95% CIs) for each 10-μg/m3 increase in PM2.5, PM10, SO2 and O3 were 2.82 (0.51-15.68; I2 = 83.8%; n = 2), 1.15 (1.01-1.32; I2 = 0; n = 2), 8.57 (0.13-575.58; I2 = 94.2%; n = 2), and 1.26 (0.81-1.09, I2 = 91.6%; n = 2), respectively. CONCLUSIONS Long-term ambient air pollution is a potential risk factor for hypertension in adults. More studies are needed to explore the effects of long-term air pollution on hypertension in children.
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Affiliation(s)
- Pei Qin
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Xinping Luo
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Yunhong Zeng
- Department of Health Management, Shenzhen Hospital of University of Chinese Academy of Sciences, Shenzhen, China
| | - Yanyan Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Yang Li
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China; The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Yuying Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Minghui Han
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Ranran Qie
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Xiaoyan Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China; Department of Health Management, Shenzhen Hospital of University of Chinese Academy of Sciences, Shenzhen, China
| | - Dechen Liu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Shengbing Huang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Yifei Feng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Xingjin Yang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Xizhuo Sun
- The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Dongsheng Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China; The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China.
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26
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Yan M, Xu J, Li C, Guo P, Yang X, Tang NJ. Associations between ambient air pollutants and blood pressure among children and adolescents: A systemic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 785:147279. [PMID: 33940406 DOI: 10.1016/j.scitotenv.2021.147279] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 04/15/2021] [Accepted: 04/16/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVE Numerous epidemiological studies have investigated the effects of short-term and long-term exposure to ambient air pollution on hypertension and blood pressure among children and adolescents. However, the results were controversial. To provide researchers reliable evidence, this meta-analysis was performed. METHODS We searched all published studies in four databases examining the effects of particulate matter (PM10, PM2.5 and PM1.0), nitrogen oxide (NO2), sulfur dioxide (SO2), ozone (O3) and carbon monoxide (CO) on hypertension and blood pressure in children and adolescents. Overall risk estimates associated with per 10 μg/m3 increase of air pollution were analyzed by a random-effect model for articles with significant heterogeneity, otherwise, a fixed-effect model was applied. Subgroup analysis was conducted for studies with significant heterogeneity. RESULTS Of 3918 identified literatures, 154 were evaluated in-depth with 15 satisfying inclusion criteria. Increased risk of hypertension was associated with long-term PM10 exposure (OR = 1.17, 95% confidence interval [CI]:1.13, 1.21). For systolic blood pressure (SBP), significant results were found for short-term PM10 (β = 0.26, 95% CI: -0.00, 0.53) exposure, long-term PM2.5 (β = 1.80, 95% CI: 0.94, 2.65) and PM10 (β = 0.50, 95% CI: 0.19, 0.81) exposure. The corresponding estimates of diastolic blood pressure (DBP) were 0.32 mmHg (95% CI: 0.19, 0.45) for short-term PM10 exposure, 1.06 mmHg (95% CI: 0.32, 1.80), 0.34 mmHg (95% CI: 0.11, 0.57) and 0.44 mmHg (95% CI: 0.25, 0.63) for long-term PM2.5, PM10 and NO2 exposure, respectively. Stratified analyses showed stronger effects of PM10 on blood pressure among studies with ≥50% boys' percentage (0.57 mmHg [95% CI: 0.44, 0.70] for SBP, 0.44 mmHg, [95% CI: 0.34, 0.54] for DBP, respectively) and articles using models to estimate exposure (0.90 mmHg [95% CI: 0.20 1.59] for SBP). CONCLUSION Ambient air pollution was associated with higher hypertension prevalence and elevated blood pressure in children and adolescents.
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Affiliation(s)
- 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 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Jiahui Xu
- 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 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 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 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Xueli Yang
- 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 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, 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 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China.
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27
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Liu M, Guo W, Zhao L, Yang H, Fang Q, Li M, Shu J, Chen S, Lai X, Yang L, Zhang X. Association of personal fine particulate matter and its respiratory tract depositions with blood pressure in children: From two panel studies. JOURNAL OF HAZARDOUS MATERIALS 2021; 416:126120. [PMID: 34492915 DOI: 10.1016/j.jhazmat.2021.126120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 04/27/2021] [Accepted: 05/10/2021] [Indexed: 06/13/2023]
Abstract
Evidence is limited regarding the acute effects of personal fine particulate matter (PM2.5) exposure and its respiratory tract depositions on the alteration of children's blood pressure (BP). We conducted 2 longitudinal panel studies in 2 cities to evaluate the relations of 72-h real-time personal PM2.5 exposure and its depositions in 3 respiratory tract regions over different lag times with BP and the risk of prehypertension and hypertension among 286 children aged 4-12 years. We found the strongest effects of PM2.5 exposure on increased BP and risk of prehypertension and hypertension at lag 2 day, in dose-response manner, even when PM2.5 below Chinese Ambient Air Quality Standard (CAAQS) Grade II. Moreover, compared to PM2.5, tracheobronchial and alveolar depositions displayed more evident effects on BP outcomes. Interestingly, all above relationships were stronger among children in Guangzhou with lower PM2.5 and its deposited doses than those in Weinan. Additionally, boys and those with daily extra-school activity ≥ 1 h were more susceptible to PM2.5-induced BP effects with significant interactions. Our results highlighted that short-term PM2.5 exposure and its respiratory tract depositions were dose-responsive related to higher BP, prevalence of prehypertension and hypertension among children, even when PM2.5 below CAAQS II.
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Affiliation(s)
- Miao Liu
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wenting Guo
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lei Zhao
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huihua Yang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qin Fang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Medical Affairs, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, Guangdong, China
| | - Meng Li
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jingyi Shu
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shuang Chen
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuefeng Lai
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Liangle Yang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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Abstract
PURPOSE OF REVIEW Hypertension (HTN) is the most prevalent risk factor for cardiovascular disease (CVD) worldwide, affecting 1.39 billion people. This review discusses recent literature regarding the global burden of HTN and emerging concepts in prevalence, treatment, and control in different regions around the globe. RECENT FINDINGS Community-based interventions and telemedicine may be useful in increasing access to care and identifying/assisting patients with HTN, especially in populations with geographical and economic barriers to healthcare. Home blood pressure monitoring is beneficial for HTN control in diverse regions. Polypills have proven benefits to decrease HTN and CVD risk. Continuation of treatment with angiotensin-converting-enzyme inhibitors and angiotensin-receptor blockers in high risk COVID-19 patients appears appropriate. SUMMARY Extensive research demonstrates that early screening/treatment, lifestyle modification, and pharmacotherapy are essential to control HTN worldwide. This review highlights recent research and novel concepts on effective interventions being used globally.
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29
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Huang M, Chen J, Yang Y, Yuan H, Huang Z, Lu Y. Effects of Ambient Air Pollution on Blood Pressure Among Children and Adolescents: A Systematic Review and Meta-Analysis. J Am Heart Assoc 2021; 10:e017734. [PMID: 33942625 PMCID: PMC8200690 DOI: 10.1161/jaha.120.017734] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Background Previous studies have investigated the association of ambient air pollution with blood pressure (BP) in children and adolescents, however, the results are not consistent. We conducted a systematic review and meta‐analysis to assess the relationship between short‐term and long‐term ambient air pollutant exposure with BP values among children and adolescents. Methods and Results We searched PubMed, Web of Science, and Embase before September 6, 2020. Two reviewers independently searched and selected studies, extracted data, and assessed study quality. The studies were divided into groups by composition of air pollutants (NO2, particulate matter (PM) with diameter ≤10 μm or ≤2.5 μm) and length of exposure. The beta regression coefficients (β) and their 95% CIs were calculated to evaluate the strength of the effect with each 10 μg/m3 increase in air pollutants. Out of 36 650 articles, 14 articles were included in this meta‐analysis. The meta‐analysis showed short‐term exposure to PM with diameter ≤10 μm (β=0.267; 95% CI, 0.033‒0.501) was significantly associated with elevated systolic BP values. In addition, long‐term exposure to PM with diameter ≤2.5 μm (β=1.809; 95% CI, 0.962‒2.655), PM with diameter ≤10 μm (β=0.526; 95% CI, 0.095‒0.958), and NO2 (β=0.754; 95% CI, 0.541‒0.968) were associated with systolic BP values and long‐term exposure to PM with diameter ≤2.5 μm (β=0.931; 95% CI, 0.157‒1.705), and PM with diameter ≤10 μm (β=0.378; 95% CI, 0.022‒0.735) was associated with diastolic BP. Conclusions Our study indicates that both short‐term and long‐term exposure to some ambient air pollutants may increase BP values among children and adolescents.
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Affiliation(s)
- Miao Huang
- Center of Clinical Pharmacology The Third Xiangya Hospital, Central South University Changsha China
| | - Jingyuan Chen
- Center of Clinical Pharmacology The Third Xiangya Hospital, Central South University Changsha China
| | - Yiping Yang
- Center of Clinical Pharmacology The Third Xiangya Hospital, Central South University Changsha China
| | - Hong Yuan
- Center of Clinical Pharmacology The Third Xiangya Hospital, Central South University Changsha China.,National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology Changsha China
| | - Zhijun Huang
- Center of Clinical Pharmacology The Third Xiangya Hospital, Central South University Changsha China.,National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology Changsha China
| | - Yao Lu
- Center of Clinical Pharmacology The Third Xiangya Hospital, Central South University Changsha China.,National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology Changsha China.,Department of Life Science and Medicine King's College London London United Kingdom
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30
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Zhang JS, Gui ZH, Zou ZY, Yang BY, Ma J, Jing J, Wang HJ, Luo JY, Zhang X, Luo CY, Wang H, Zhao HP, Pan DH, Bao WW, Guo YM, Ma YH, Dong GH, Chen YJ. Long-term exposure to ambient air pollution and metabolic syndrome in children and adolescents: A national cross-sectional study in China. ENVIRONMENT INTERNATIONAL 2021; 148:106383. [PMID: 33465664 DOI: 10.1016/j.envint.2021.106383] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 12/28/2020] [Accepted: 01/05/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND The prevalence of metabolic syndrome (MetS) rapidly increased over the past decades. However, little evidence exists about the effects of long-term exposure to ambient air pollution on MetS in children and adolescents. OBJECTIVE This study aims to assess the association between long-term ambient air pollution and the prevalence of MetS in a large population of Chinese children and adolescents. METHODS In 2013, a total of 9,897 children and adolescents aged 10 to 18 years were recruited from seven provinces/municipalities in China. MetS was defined based on the recommendation by the International Diabetes Federation (IDF). Satellite based spatio-temporal models were used to estimate exposure to ambient air pollution (including particles with diameters ≤1.0 µm (PM1), ≤2.5 µm (PM2.5), and ≤10 µm (PM10), and nitrogen dioxide (NO2)). Individual exposure was calculated according to 94 schools addresses. After adjustment for a range of covariates, generalized linear mixed-effects models were utilized to evaluate the associations between air pollutants and the prevalence of MetS and its components. In addition, several stratified analyses were examined according to sex, weight status, outdoor physical activity time, and sugar-sweetened beverages (SSBs) intake. RESULTS The prevalence of MetS was 2.8%. The odds ratio of MetS associated with a 10 μg/m3 increase in PM1, PM2.5, PM10 and NO2 was 1.20 (95%CI: 0.99, 1.46), 1.31 (95%CI: 1.05, 1.64), 1.32 (95%CI: 1.08, 1.62), and 1.33 (95%CI: 1.03, 1.72), respectively. Regarding the MetS components, we observed associations between all pollutants and abdominal obesity. In addition, long-term PM1 and NO2 exposures were associated with the prevalence of elevated fasting blood glucose. Stratified analyses detected that the associations between air pollutants and the prevalence of MetS were stronger in boys (Pinteraction < 0.05). CONCLUSIONS We found that long-term exposure to PM2.5, PM10, and NO2 were positively associated with the prevalence of MetS in children and adolescents. Our findings may have certain public health implications for some comprehensive strategy of environment improvement and lifestyles changes in order to reduce the burden of non-communicable disease.
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Affiliation(s)
- Jing-Shu Zhang
- 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
| | - Zhi-Yong Zou
- Institute of Child and Adolescent Health, Peking University, School of Public Health, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Bo-Yi Yang
- 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
| | - Jun Ma
- Institute of Child and Adolescent Health, Peking University, School of Public Health, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Jin Jing
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Hai-Jun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Jia-You Luo
- Department of Maternal and Child Health, School of Public Health, Central South University, Changsha 410078, China
| | - Xin Zhang
- School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Chun-Yan Luo
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai Institutes of Preventive Medicine, Shanghai 200336, China
| | - Hong Wang
- Department of Maternal and Child Health, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China
| | - Hai-Ping Zhao
- School of Public Health and Management, Ningxia Medical University, Ningxia, 750004, China
| | - De-Hong Pan
- Liaoning Health Supervision Bureau, Shenyang 110005, China
| | - Wen-Wen Bao
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yu-Ming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Ying-Hua Ma
- Institute of Child and Adolescent Health, Peking University, School of Public Health, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, 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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Liu L, Song F, Fang J, Wei J, Ho HC, Song Y, Zhang Y, Wang L, Yang Z, Hu C, Zhang Y. Intraday effects of ambient PM 1 on emergency department visits in Guangzhou, China: A case-crossover study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 750:142347. [PMID: 33182206 DOI: 10.1016/j.scitotenv.2020.142347] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 09/06/2020] [Accepted: 09/09/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Short-term exposure to PM2.5 has been widely associated with human morbidity and mortality. However, most up-to-date research was conducted at a daily timescale, neglecting the intra-day variations in both exposure and outcome. As an important fraction in PM2.5, PM1 has not been investigated about the very acute effects within a few hours. METHODS Hourly data for size-specific PMs (i.e., PM1, PM2.5, and PM10), all-cause emergency department (ED) visits and meteorological factors were collected from Guangzhou, China, 2015-2016. A time-stratified case-crossover design with conditional logistic regression analysis was performed to evaluate the hourly association between size-specific PMs and ED visits, adjusting for hourly mean temperature and relative humidity. Subgroup analyses stratified by age, sex and season were conducted to identify potential effect modifiers. RESULTS A total of 292,743 cases of ED visits were included. The effects of size-specific PMs exhibited highly similar lag patterns, wherein estimated odds ratio (OR) experienced a slight rise from lag 0-3 to 4-6 h and subsequently attenuated to null along with the extension of lag periods. In comparison with PM2.5 and PM10, PM1 induced slightly larger effects on ED visits. At lag 0-3 h, for instance, ED visits increased by 1.49% (95% confidence interval: 1.18-1.79%), 1.39% (1.12-1.66%) and 1.18% (0.97-1.40%) associated with a 10-μg/m3 rise, respectively, in PM1, PM2.5 and PM10. We have detected a significant effect modification by season, with larger PM1-associated OR during the cold months (1.017, 1.013 to 1.021) compared with the warm months (1.010, 1.005 to 1.015). CONCLUSIONS Our study provided brand-new evidence regarding the adverse impact of PM1 exposure on human health within several hours. PM-associated effects were significantly more potent during the cold months. These findings may aid health policy-makers in establishing hourly air quality standards and optimizing the allocation of emergency medical resources.
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Affiliation(s)
- Linjiong Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Fujian Song
- Public Health and Health Services Research, Norwich Medical School, University of East Anglia, Norwich,NR4 7TJ, UK
| | - Jiaying Fang
- Huadu District People's Hospital, Southern Medical University, Guangzhou 510800, China
| | - Jing Wei
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Hung Chak Ho
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China
| | - Yimeng Song
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China
| | - Yuanyuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Lu Wang
- Department of Nursing, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Zhiming Yang
- Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China
| | - Chengyang Hu
- Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, Hefei 230032, China; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China.
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Hypertension
Editors’ Picks. Hypertension 2020; 76:e18-e22. [DOI: 10.1161/hypertensionaha.120.15142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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