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Blazé KSR, Xu H, Buchanan L, Baur LA, Wen LM. Parental smoking in the first two years of a child's life and its associations with breastfeeding. Aust N Z J Obstet Gynaecol 2024; 64:28-35. [PMID: 37463865 DOI: 10.1111/ajo.13736] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 06/29/2023] [Indexed: 07/20/2023]
Abstract
BACKGROUND Exclusive breastfeeding for the first 6 months followed by ongoing breastfeeding to 12 months and beyond is associated with multiple benefits for both mother and child. Maternal smoking is associated with a reduction in breastfeeding. Little is known about the effect of partner smoking on breastfeeding. AIMS This study explores the smoking behaviour of mothers and their partners in the first two years of a child's life and its associations with breastfeeding practice. MATERIALS AND METHODS We performed a secondary data analysis using survey data on 1155 mothers from their third trimester of pregnancy and at six, 12 and 24 months after delivery. Survey questions included smoking status of both mother and partner and breastfeeding intention and practice. Logistic regression models were conducted at each time point. FINDINGS Where the mother or both parents smoke, babies were less likely to be breastfed at six months of age (adjusted odds ratio (aOR) 0.29, 95% CI: 0.13-0.66) compared with families where neither parent smoked. Non-smoking mothers with smoking partners were less likely to intend to breastfeed (aOR 0.29, 95% CI: 0.11-0.82) and their babies were less likely to be breastfed at six and 12 months of age (aOR 0.64, 95% CI: 0.42-0.98 and 0.64, 95% CI: 0.43-0.95 respectively). There was no difference in breastfeeding behaviour between smoking and non-smoking parents at 24 months. CONCLUSION Smoking parents are less likely to breastfeed their babies at ages six and 12 months. Breastfeeding promotion should target both smoking mothers and smoking partners.
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Affiliation(s)
- Katharine S R Blazé
- Sydney School of Public Health, Faculty of Medicine and Health, and the Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, New South Wales, Australia
- Women's and Children's Unit, Victorian Aboriginal Health Service, Fitzroy, Melbourne, Victoria, Australia
- The Centre for Community Child Health, The Royal Children's Hospital, Parkville, Melbourne, Victoria, Australia
- Victorian Forensic Paediatric Medical Service (VFPMS), The Royal Children's Hospital, Parkville, Melbourne, Victoria, Australia
| | - Huilan Xu
- Health Promotion Unit, Population Health Research and Evaluation Hub, Sydney Local Health District, Sydney, New South Wales, Australia
- Sydney Institute for Women, Children and Their Families, Sydney Local Health District, Sydney, New South Wales, Australia
| | - Limin Buchanan
- Sydney School of Public Health, Faculty of Medicine and Health, and the Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, New South Wales, Australia
- Health Promotion Unit, Population Health Research and Evaluation Hub, Sydney Local Health District, Sydney, New South Wales, Australia
- NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood (EPOCH) and the Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, New South Wales, Australia
- Sydney Institute for Women, Children and Their Families, Sydney Local Health District, Sydney, New South Wales, Australia
| | - Louise A Baur
- Sydney School of Public Health, Faculty of Medicine and Health, and the Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, New South Wales, Australia
- NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood (EPOCH) and the Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, New South Wales, Australia
- Specialty of Child and Adolescent Health, Sydney Medical School, Camperdown, Sydney, New South Wales, Australia
| | - Li Ming Wen
- Sydney School of Public Health, Faculty of Medicine and Health, and the Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, New South Wales, Australia
- Health Promotion Unit, Population Health Research and Evaluation Hub, Sydney Local Health District, Sydney, New South Wales, Australia
- NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood (EPOCH) and the Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, New South Wales, Australia
- Sydney Institute for Women, Children and Their Families, Sydney Local Health District, Sydney, New South Wales, Australia
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2
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Cao C, Wang Y, Peng L, Wu W, Yang H, Li Z. Asthma and Other Respiratory Diseases of Children in Relation to Personal Behavior, Household, Parental and Environmental Factors in West China. TOXICS 2023; 11:964. [PMID: 38133365 PMCID: PMC10747494 DOI: 10.3390/toxics11120964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 11/23/2023] [Accepted: 11/24/2023] [Indexed: 12/23/2023]
Abstract
Asthma and other respiratory diseases, which are of great concern in public health, are paid less attention in areas that are less economically developed. This research aimed to study the prevalence of critical respiratory diseases of children living in West China and figure out the potential influencing factors. A total of 575 children under the age of 14 were recruited from Xinjiang, China, to participate in the study in 2022. Information on activity patterns, socioeconomic and parental factors, and household and surrounding environment situations was obtained using a questionnaire survey. Logistic regression models were applied to estimate the odds ratios of respiratory disease prevalence in relation to behavior patterns, household, parental and environmental factors, respectively. The prevalence of ever doctor-diagnosed asthma, doctor-diagnosed bronchitis and current bronchitis were 4.7%, 19.0% and 14.4%, respectively. The prevalence of doctor-diagnosed pneumonia was 8.2%, which was two times higher in urban than rural areas. Longer annual heating duration was significantly associated with higher risks in children's asthma and bronchitis, with an odds ratio (OR) and 95% confidence interval (95% CI) of 3.363 (95% CI: 1.215-9.298) and 1.267 (95% CI: 1.002-1.601), respectively. Opening the window longer in autumn would lead to higher risks of bronchitis, with ORs of 1.165 and 1.133, respectively, for doctor-diagnosed bronchitis and current bronchitis. Residential air pollution and having a residence close to waste incineration plant or garbage station were, respectively, significantly associated with higher risks of doctor-diagnosed bronchitis and asthma. Parental disease history was associated with a higher prevalence of children's asthma and respiratory diseases, whereas breastfeeding and doing physical exercise were, respectively, significantly associated with a lower risk of asthma. A high prevalence of respiratory diseases in children in West China may be partly attributed to longer annual heating time, opening windows longer in autumn, surrounding environmental pollution, as well as parental disease history, whereas promoting physical activity and breastfeeding could be an effective measure to reduce the risk of childhood asthma in West China.
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Affiliation(s)
- Changan Cao
- School of Medicine, Xiamen University, Xiamen 361104, China;
| | - Yuna Wang
- School of Chemical and Environmental Sciences, YiLi Normal University, Yining 835000, China; (Y.W.)
| | - Li Peng
- School of Energy and Environmental Engineering, University of Science of Technology Beijing, Beijing 10083, China;
| | - Weiqi Wu
- Department of Geography, University College London, London WC1E 6BT, UK;
| | - Huimin Yang
- School of Chemical and Environmental Sciences, YiLi Normal University, Yining 835000, China; (Y.W.)
| | - Zhigang Li
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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3
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Chen X, Huang L, Li Q, Wu M, Lin L, Hong M, Wang H, Yang X, Hao L, Yang N. Exposure to environmental tobacco smoke during pregnancy and infancy increased the risk of upper respiratory tract infections in infants: A birth cohort study in Wuhan, China. INDOOR AIR 2021; 31:673-681. [PMID: 33090568 DOI: 10.1111/ina.12761] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 09/02/2020] [Accepted: 10/02/2020] [Indexed: 06/11/2023]
Abstract
We aimed to evaluate the association of the exposure to environmental tobacco smoke (ETS) during pregnancy and infancy with the risk of upper respiratory tract infections (URTI) in infants based on a Chinese birth cohort study. Among 4178 infants who constituted the final study population, 46.8% experienced URTI in their first year of life. The hazard ratios (HR) and 95% confidence intervals (CI) for the risk of URTI were assessed using Cox regression models. Compared with no ETS during pregnancy, continued ETS during pregnancy was independently associated with a higher risk of URTI (HR: 1.36, 95% CI: 1.13, 1.63) after adjustment for potential confounders and also associated with earlier occurrence of URTI (log-rank P = .002). The association remained consistent across the strata defined according to maternal age, number of siblings, sex, and breastfeeding. Exposure to ETS during infancy was associated with URTI only among infants who were breastfed for less than 12 months (P for interaction < 0.05).Furthermore, infants exposed to ETS during both pregnancy and infancy showed the highest HR of 1.46 (95% CI: 1.16, 1.85) for URTI. Efforts should be made to protect pregnant women and infants from the adverse effects of indoor and outdoor ETS.
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Affiliation(s)
- Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Li Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Meng Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Miao Hong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huanzhuo Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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4
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Zeng XW, Lodge CJ, Lowe AJ, Guo Y, Abramson MJ, Bowatte G, Hu LW, Yang BY, Chen ZX, Dharmage SC, Dong GH. Current pet ownership modifies the adverse association between long-term ambient air pollution exposure and childhood asthma. Clin Transl Allergy 2021; 11:e12005. [PMID: 33900047 PMCID: PMC8099301 DOI: 10.1002/clt2.12005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 01/27/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Recent studies suggest that household endotoxin and allergens can modify the impact of air pollutants on development of asthma; however, epidemiological evidence is limited and conflicting. OBJECTIVES To investigate whether pet ownership modified the association between ambient air pollution and asthma in children. METHODS We conducted a population-based cross-sectional study, the Seven Northeast Cities Study in China and recruited a total of 59,754 children from 94 schools during 2012-2013. Long-term air pollutant concentrations, including airborne particulate matter with a diameter of 1 μm or less (PM1 ), PM2.5 , PM10 , and nitrogen dioxide (NO2 ) from 2009 to 2012 were estimated using a random forest model. We collected information of respiratory health in children using the Epidemiologic Standardization Project Questionnaire of the American Thoracic Society (ATS-DLD-78-A). Regression models were used to evaluate associations between pet ownership and air pollution on asthma after adjusting for potential covariates. RESULTS Exposure to increasing levels of air pollutants was associated with higher prevalence of asthma, but associations were significantly attenuated in children who owned pets. For example, compared to children without pets, those who owned pets did not have an increased risk of symptoms of asthma (odds ratio, 1.01, 95% confidence interval: 0.78, 1.30), wheeze (0.96, 95% confidence interval [CI]: 0.76, 1.21), and cough (1.01, 95% CI: 0.87, 1.18) for each 10 µg/m3 increase in PM1 (P-int < 0.05). Similar trends were observed for other air pollutants. Dog and bird ownership decreased the associations of asthma and cough with air pollutant exposure. The main findings were consistent with a series of sensitivity analyses. CONCLUSION Current pet ownership may reduce the adverse impact of long-term air pollution on childhood asthma. Longitudinal studies are needed to confirm this finding which could have important implications for public health.
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Affiliation(s)
- Xiao-Wen Zeng
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.,Melbourne School of Population & Global Health, Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Caroline J Lodge
- Melbourne School of Population & Global Health, Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Adrian J Lowe
- Melbourne School of Population & Global Health, Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Michael J Abramson
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Gayan Bowatte
- Melbourne School of Population & Global Health, Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia.,Department of Basic Sciences, Faculty of Allied Health Sciences, University of Peradeniya, Peradeniya, Sri Lanka.,National Institute of Fundamental Studies, Kandy, Sri Lanka
| | - Li-Wen Hu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Bo-Yi Yang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zan-Xiong Chen
- Maternal and Child Hospital of Maoming City, Maoming, China
| | - Shyamali C Dharmage
- Melbourne School of Population & Global Health, Allergy and Lung Health Unit, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Guang-Hui Dong
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
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Zhang Y, Wei J, Shi Y, Quan C, Ho HC, Song Y, Zhang L. Early-life exposure to submicron particulate air pollution in relation to asthma development in Chinese preschool children. J Allergy Clin Immunol 2021; 148:771-782.e12. [PMID: 33684436 DOI: 10.1016/j.jaci.2021.02.030] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 01/27/2021] [Accepted: 02/16/2021] [Indexed: 01/15/2023]
Abstract
BACKGROUND Emerging research suggested an association of early-life particulate air pollution exposure with development of asthma in childhood. However, the potentially differential effects of submicron particulate matter (PM; PM with aerodynamic diameter ≤1 μm [PM1]) remain largely unknown. OBJECTIVE This study primarily aimed to investigate associations of childhood asthma and wheezing with in utero and first-year exposures to size-specific particles. METHODS We conducted a large cross-sectional survey among 5788 preschool children aged 3 to 5 years in central China. In utero and first-year exposures to ambient PM1, PM with aerodynamic diameter less than or equal to 2.5 μm, and PM with aerodynamic diameter less than or equal to 10 μm at 1 × 1-km resolution were assessed using machine learning-based spatiotemporal models. A time-to-event analysis was performed to examine associations between residential PM exposures and childhood onset of asthma and wheezing. RESULTS Early-life size-specific PM exposures, particularly during pregnancy, were significantly associated with increased risk of asthma, whereas no evident PM-wheezing associations were observed. Each 10-μg/m3 increase in in utero and first-year PM1 exposure was accordingly associated with an asthma's hazard ratio in childhood of 1.618 (95% CI, 1.159-2.258; P = .005) and 1.543 (0.822-2.896; P = .177). Subgroup analyses suggest that short breast-feeding duration may aggravate PM-associated risk of childhood asthma. Each 10-μg/m3 increase in in utero exposure to PM1, for instance, was associated with a hazard ratio of 2.260 (1.393-3.666) among children with 0 to 5 months' breast-feeding and 1.156 (0.721-1.853) among those longer breast-fed. CONCLUSIONS Our study added comparative evidence for increased risk of childhood asthma in relation to early-life PM exposures, highlighting stronger associations with ambient PM1 than with PM with aerodynamic diameter less than or equal to 2.5 μm and PM with aerodynamic diameter less than or equal to 10 μm.
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Affiliation(s)
- Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, China.
| | - Jing Wei
- Department of Chemical and Biochemical Engineering, Iowa Technology Institute, The University of Iowa, Iowa City, Iowa
| | - Yuqin Shi
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, China; Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Chao Quan
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, China; Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Hung Chak Ho
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China
| | - Yimeng Song
- Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China; Smart Cities Research Institute, The Hong Kong Polytechnic University, Hong Kong, China
| | - Ling Zhang
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, China; Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan, China.
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6
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Cao S, Wen D, Li S, Duan X, Zhang Y, Gong J, Guo Q, Xu X, Qin N, Meng X, Zhang JJ. Changes in children's asthma prevalence over two decades in Lanzhou: effects of socioeconomic, parental and household factors. J Thorac Dis 2020; 12:6365-6378. [PMID: 33209475 PMCID: PMC7656413 DOI: 10.21037/jtd-19-crh-aq-008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background The prevalence of childhood asthma may have changed with rapid economic development. This study aims to ascertain potential changes in asthma prevalence in relation to changes in socioeconomic, parental and household factors, based on a comparison between two periods spanning over 20 years in Lanzhou, a large northwestern city of China. Methods Cross-sectional studies using the same protocols were performed in Lanzhou, China in 1994–1995 (Period I) and in 2017 (Period II). Children of 6–12 years old from elementary schools were selected by a multistage sampling method. Information on the presence of asthma and asthma-related symptoms of children, socioeconomic status, feeding methods, parental illness and behavior patterns, as well as household characteristics, were collected through a questionnaire survey. Logistic regression models were used to estimate odds ratios of asthma prevalence with regard to socioeconomic, parental and household factors, respectively. Results Significant prevalence reductions were observed for paternal smoking, household coal use, and parental asthma, while the prevalence increased significantly for children sleeping in their own rooms or own beds, ventilation use during cooking, and parental occupation and education level after 22 years. In children, the prevalence of ever-diagnosed asthma decreased from 3.2% in period I to 1.5% in Period II (P<0.001); the prevalence of wheeze also decreased from 15.4% to 9.3% (P<0.001). Passive smoking (OR =1.531, 95% CI: 1.032–2.270) and poor household ventilation (OR =1.709, 95% CI: 1.208–2.416) were significantly associated with an increased prevalence of wheeze in Period I, whereas household mold (OR =2.112, 95% CI: 1.203–3.811) was significantly associated with prevalence of wheeze. Parental asthma history was associated with increased prevalence of asthma and asthma-related symptoms. Breastfeeding was significantly associated with reduced risk of asthma in period II children. Conclusions The prevalence of asthma and that of asthma-related symptoms were lower in 2017 than in 1994–1995 in school children living in Lanzhou. In 2017 with increased urbanization and industrialization, breastfeeding became a significant protective factor and household mold was a significant risk factor for asthma diagnosis and asthma-related symptoms. Promoting breastfeeding and household mold control is recommended to reduce the risk of childhood asthma in contemporary Lanzhou.
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Affiliation(s)
- Suzhen Cao
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Dongsen Wen
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Sai Li
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xiaoli Duan
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Yaqun Zhang
- Gansu Provincial Design and Research Institute of Environmental Science, Lanzhou, China
| | - Jicheng Gong
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Qian Guo
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xiangyu Xu
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Ning Qin
- Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xin Meng
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China
| | - Junfeng Jim Zhang
- Beijing Innovation Center for Engineering Science and Advanced Technology, State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, China.,Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, USA.,Duke Kunshan University, Kunshan, China.,Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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7
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Zhang C, Guo Y, Xiao X, Bloom MS, Qian Z, Rolling CA, Xian H, Lin S, Li S, Chen G, Jalava P, Roponen M, Hirvonen MR, Komppula M, Leskinen A, Yim SHL, Chen DH, Ma H, Zeng XW, Hu LW, Liu KK, Yang BY, Dong GH. Association of Breastfeeding and Air Pollution Exposure With Lung Function in Chinese Children. JAMA Netw Open 2019; 2:e194186. [PMID: 31125097 PMCID: PMC6632134 DOI: 10.1001/jamanetworkopen.2019.4186] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
IMPORTANCE Breastfeeding and exposure to ambient air pollutants have been found to be independently associated with respiratory health in children; however, previous studies have not examined the association of breastfeeding as a potential moderator of the association. OBJECTIVE To assess associations of breastfeeding and air pollution with lung function in children. DESIGN, SETTING, AND PARTICIPANTS Using a cross-sectional study design, children were recruited from 62 elementary and middle schools located in 7 Chinese cities from April 1, 2012, to October 31, 2013. Data analyses were conducted from November 1, 2018, to March 31, 2019. EXPOSURES Long-term concentrations of airborne particulate matter with a diameter of 1 μm or less (PM1), airborne particulate matter with a diameter of 2.5 μm or less (PM2.5), airborne particulate matter with a diameter of 10 μm or less (PM10), and nitrogen dioxide were estimated using a spatial statistical model matched to children's geocoded home addresses, and concentrations of PM10, sulfur dioxide, nitrogen dioxide, and ozone were measured by local air monitoring stations. MAIN OUTCOMES AND MEASURES Breastfeeding was defined as maternal report of having mainly breastfed for longer than 3 months. Lung function was measured using portable electronic spirometers. Using previously published predicted spirometric values for children in Northeast China as the reference, lung impairment was defined as forced vital capacity (FVC) less than 85%, forced expiratory volume in the first second of expiration less than 85%, peak expiratory flow less than 75%, or maximum midexpiratory flow less than 75%. RESULTS Participants included 6740 children (mean [SD] age, 11.6 [2.1] years; 3382 boys [50.2%]). There were 4751 children (70.5%) who were breastfed. Mean (SD) particulate matter concentrations ranged from 46.8 (6.5) μg/m3 for PM1 to 95.6 (9.8) μg/m3 for PM10. The prevalence of lung function impairment ranged from 6.8% for peak expiratory flow to 11.3% for FVC. After controlling for age, sex, and other covariates, 1-interquartile range greater concentration of pollutants was associated with higher adjusted odds ratios (AORs) for lung function impairment by FVC among children who were not breastfed compared with those who were (PM1: AOR, 2.71 [95% CI, 2.02-3.63] vs 1.20 [95% CI, 0.97-1.48]; PM2.5: AOR, 2.27 [95% CI, 1.79-2.88] vs 1.26 [95% CI, 1.04-1.51]; and PM10: AOR, 1.93 [95% CI, 1.58-2.37] vs 1.46 [95% CI, 1.23-1.73]). Younger age (<12 years) was associated with lower lung function impairment among the children who had been breastfed. In children from elementary schools, 1-interquartile range greater concentration of pollutants was associated with higher AORs for lung function impairment by FVC among children who had not been breastfed compared with those who had (PM1: AOR, 6.43 [95% CI, 3.97-10.44] vs 1.89 [95% CI, 1.28-2.80]; PM2.5: AOR, 3.83 [95% CI, 2.63-5.58] vs 1.50 [95% CI, 1.12-2.01]; and PM10: AOR, 2.61 [95% CI, 1.90-3.57] vs 1.52 [95% CI, 1.19-1.95]). Results from linear regression models also showed associations of air pollution with worse lung function among children who were not breastfed compared with their counterparts who were breastfed, especially for FVC (PM1: β, -240.46 [95% CI, -288.71 to -192.21] vs -38.21 [95% CI, -69.27 to -7.16] mL) and forced expiratory volume in the first second of expiration (PM1: β, -201.37 [95% CI, -242.08 to -160.65] vs -30.30 [95% CI, -57.66 to -2.94] mL). CONCLUSIONS AND RELEVANCE In this study, breastfeeding was associated with lower risk of lung function impairment among children in China exposed to air pollution, particularly among younger children.
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Affiliation(s)
- Chuan 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, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Xiang Xiao
- 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, China
| | - Michael S. Bloom
- 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, China
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer
- Department of Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer
| | - Zhengmin Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, St Louis, Missouri
| | - Craig A. Rolling
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, St Louis, Missouri
| | - Hong Xian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, St Louis, Missouri
| | - Shao Lin
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer
- Department of Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Gongbo Chen
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Pasi Jalava
- Department of Environmental and Biological Science, University of Eastern Finland, Kuopio, Finland
| | - Marjut Roponen
- Department of Environmental and Biological Science, University of Eastern Finland, Kuopio, Finland
| | - Maija-Riitta Hirvonen
- Department of Environmental and Biological Science, University of Eastern Finland, Kuopio, Finland
| | | | - Ari Leskinen
- Finnish Meteorological Institute, Kuopio, Finland
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Steve Hung Lam Yim
- Department of Geography and Resource Management, Stanley Ho Big Data Decision Analytics Research Centre, Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Shatin, China
| | - Duo-Hong Chen
- Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, China
| | - Huimin Ma
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 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, 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, China
| | - Kang-Kang 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, 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, 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, China
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8
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Brown RA, Dakkak H, Seabrook JA. Is Breast Best? Examining the effects of alcohol and cannabis use during lactation. J Neonatal Perinatal Med 2019; 11:345-356. [PMID: 29843260 DOI: 10.3233/npm-17125] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Maternal drug use during lactation may have adverse effects on the health of their children. Two common drugs used during this period are alcohol and cannabis. A literature search was conducted using PubMed, CINAHL, Nursing and Allied Health, and Google Scholar with the following search terms: marijuana, cannabis, THC, alcohol, ethanol, breastfeeding, lactation, and breastmilk. The search strategy was restricted to papers since the year 2000, and limited to English language journals. Reference lists were also used to capture any articles that were missed from the database searches. In total, 19 articles were found related to alcohol and breastfeeding (n = 17 original research papers; n = 2 systematic reviews), and 4 articles were specific to cannabis (n = 2 original papers; n = 2 systematic reviews). The most common outcomes associated with alcohol consumption and breastfeeding included changes in sleep patterns, reduced milk production and flow, lower milk intake, and impaired immune function. Maternal outcomes related to cannabis consumption included panic attacks, delayed response time, increased heart rate, reduced short-term memory, dizziness, and impaired motor performance; infant outcomes associated with maternal cannabis use and breastfeeding were reduced muscular tonus, poor sucking, and growth delay and restriction. Mothers should be advised to refrain from substance use during the lactation period for the health and safety of their children.
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Affiliation(s)
- R A Brown
- School of Food and Nutritional Sciences, Brescia University College, London, ON, Canada
| | - H Dakkak
- School of Food and Nutritional Sciences, Brescia University College, London, ON, Canada
| | - J A Seabrook
- School of Food and Nutritional Sciences, Brescia University College, London, ON, Canada.,Department of Paediatrics, Western University, London, ON, Canada.,Department of Epidemiology and Biostatistics, Western University, London, ON, Canada.,Children's Health Research Institute, London, ON, Canada.,Lawson Health Research Institute, London, ON, Canada.,Human Environments Analysis Laboratory, London, ON, Canada
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9
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Yang M, Chu C, Bloom MS, Li S, Chen G, Heinrich J, Markevych I, Knibbs LD, Bowatte G, Dharmage SC, Komppula M, Leskinen A, Hirvonen MR, Roponen M, Jalava P, Wang SQ, Lin S, Zeng XW, Hu LW, Liu KK, Yang BY, Chen W, Guo Y, Dong GH. Is smaller worse? New insights about associations of PM 1 and respiratory health in children and adolescents. ENVIRONMENT INTERNATIONAL 2018; 120:516-524. [PMID: 30153645 DOI: 10.1016/j.envint.2018.08.027] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 07/27/2018] [Accepted: 08/09/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND AND OBJECTIVES Little is known about PM1 effects on respiratory health, relative to larger size fractions (PM2.5). To address this literature gap, we assessed associations between PM1 exposure and asthmatic symptoms in Chinese children and adolescents, compared with PM2.5. METHODS A total of 59,754 children, aged 2-17 years, were recruited from 94 kindergartens, elementary and middle schools in the Seven Northeast Cities (SNEC) study, during 2012-2013. We obtained information on asthma and asthma-related symptoms including wheeze, persistent phlegm, and persistent cough using a standardized questionnaire developed by the American Thoracic Society. PM1 and PM2.5 concentrations were estimated using a spatial statistical model matched to the children's geocoded home addresses. To examine the associations, mixed models with school/kindergarten as random intercept were used, controlling for covariates. RESULTS Odds ratios (ORs) of doctor-diagnosed asthma associated with a 10-μg/m3 increase for PM1 and PM2.5 were 1.56 (95% CI: 1.46-1.66) and 1.50 (1.41-1.59), respectively, and similar pattern were observed for other outcomes. Interaction analyses indicated that boys and the individuals with an allergic predisposition may be vulnerable subgroups. For example, among children with allergic predisposition, the ORs for doctor diagnosed asthma per 10 μg/m3 increase in PM1 was 1.71 (95% CI: 1.60-1.83), which was stronger than in their counterparts (1.46; 1.37-1.56) (pfor interaction < 0.05). CONCLUSIONS This study indicated that long-term exposure to PM1 may increase the risk of asthma and asthma-related symptoms, especially among boys and those with allergic predisposition. Furthermore, these positive associations for PM1 were very similar to those for PM2.5.
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Affiliation(s)
- Mo Yang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Chu Chu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Michael S Bloom
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Department of Environmental Health Sciences and Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, NY 12144, USA
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Gongbo Chen
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, Ludwig-Maximilian-University, Munich 80336, Germany; Allergy and Lung Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3052, Australia
| | - Iana Markevych
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, Ludwig-Maximilian-University, Munich 80336, Germany
| | - Luke D Knibbs
- School of Public Health, The University of Queensland, Herston, Queensland 4006, Australia
| | - Gayan Bowatte
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3052, Australia
| | - Shyamali C Dharmage
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3052, Australia
| | - Mika Komppula
- Finnish Meteorological Institute, Kuopio 70211, Finland
| | - Ari Leskinen
- Finnish Meteorological Institute, Kuopio 70211, Finland; Department of Applied Physics, University of Eastern Finland, Kuopio 70211, Finland
| | - Maija-Riitta Hirvonen
- Department of Environmental and Biological Science, University of Eastern Finland, Kuopio 70211, Finland
| | - Marjut Roponen
- Department of Environmental and Biological Science, University of Eastern Finland, Kuopio 70211, Finland
| | - Pasi Jalava
- Department of Environmental and Biological Science, University of Eastern Finland, Kuopio 70211, Finland
| | - Si-Quan Wang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Shao Lin
- Department of Environmental Health Sciences and Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, NY 12144, USA
| | - Xiao-Wen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, 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, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Kang-Kang Liu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, 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, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Wen Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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