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Deng Y, Steenland K, Sinharoy SS, Peel JL, Ye W, Pillarisetti A, Eick SM, Chang HH, Wang J, Chen Y, Young BN, Clark ML, Barr DB, Clasen On Behalf Of The Hapin Investigators TF. Association of household air pollution exposure and anemia among pregnant women: Analysis of baseline data from 'Household Air Pollution Intervention Network (HAPIN)' trial. ENVIRONMENT INTERNATIONAL 2024; 190:108815. [PMID: 38889623 PMCID: PMC11365361 DOI: 10.1016/j.envint.2024.108815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 05/13/2024] [Accepted: 06/10/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Anemia is common in low- and middle-income countries (LMICs), causing significant health issues and social burdens. Exposure to household air pollution from using biomass fuels for cooking and heating has been associated with anemia, but the exposure-response association has not been studied. OBJECTIVES We evaluated the associations between personal exposure to air pollution and both hemoglobin levels and anemia prevalence among pregnant women in a multi-country randomized controlled trial. METHODS We studied 3,163 pregnant women aged 18-35 years with 9-20 weeks of gestation, recruited as part of the Household Air Pollution Intervention Network (HAPIN) randomized controlled trial in Guatemala, India, Peru, and Rwanda. We assessed 24-hour personal exposures to fine particulate matter (PM2.5), black carbon (BC), and carbon monoxide (CO), and measured hemoglobin levels at baseline (15 ± 3 weeks gestation). Linear and logistic regression models were used to examine the associations of measured pollutants with hemoglobin levels and anemia prevalence, adjusting for confounding. RESULTS Single-pollutant models showed associations of CO with higher hemoglobin levels and lower anemia prevalence. Bipollutant models involving CO and PM2.5 also revealed that an interquartile range (IQR) increase in CO concentrations (2.26 ppm) was associated with higher hemoglobin levels [β = 0.04; 95 % confidence interval (CI): 0.01, 0.07], and a lower odds of anemia prevalence [odds ratios (OR) = 0.90; 95 % CI: 0.83, 0.98]. PM2.5 was inversely related to hemoglobin and positively associated with anemia, but results were not statistically significant at the 0.05 alpha level. County-specific results showed that 3 of 4 countries showed a similar association between CO and hemoglobin. We found no association of BC levels with hemoglobin levels or with anemia prevalence. CONCLUSION Our findings suggest that exposure to CO is associated with higher hemoglobin and lower anemia prevalence among pregnant women, whereas PM2.5 showed the opposite associations.
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Affiliation(s)
- Yanling Deng
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Sheela S Sinharoy
- Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Wenlu Ye
- Division of Environmental Health Sciences, University of California at Berkeley, Berkeley, CA, USA
| | - Ajay Pillarisetti
- Division of Environmental Health Sciences, University of California at Berkeley, Berkeley, CA, USA
| | - Stephanie M Eick
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Howard H Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jiantong Wang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Yunyun Chen
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Bonnie N Young
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Maggie L Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Dana Boyd Barr
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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Kang N, Wang R, Lu H, Onyai F, Tang M, Tong M, Ni X, Zhong M, Deng J, Dong Y, Li P, Zhu T, Xue T. Burden of Child Anemia Attributable to Fine Particulate Matters Brought by Sand Dusts in Low- and Middle-Income Countries. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:12954-12965. [PMID: 38995993 DOI: 10.1021/acs.est.4c05305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/14/2024]
Abstract
Addressing environmental factors has recently been recommended to curb the growing trend of anemia in low- and middle-income countries (LMICs). Fine particulate matter (PM2.5) generated by dust storms were concentrated in place with a high prevalence of anemia. In a multicounty, multicenter study, we analyzed the association between anemia and life-course averaged exposure to dust PM2.5 among children aged <5 years based on 0.65 million records from 47 LMICs. In the fully adjusted mixed effects model, each 10 μg/m3 increase in life-course averaged exposure to dust PM2.5 was associated with a 9.3% increase in the odds of anemia. The estimated exposure-response association was nonlinear, with a greater effect of dust PM2.5 exposure seen at low concentrations. Applying this association, we found that, in 2017, among all children aged <5 years in the 125 LMICs, dust PM2.5 contributed to 37.98 million cases of anemia. Results indicated that dust PM2.5 contributed a heavier burden than all of the well-identified risk factors did, except for iron deficiency. Our study revealed that long-term exposure to dust PM2.5 can be a novel risk factor, pronouncedly contributed to the burden of child anemia in LMICs, affected by land degradations or arid climate.
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Affiliation(s)
- Ning Kang
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Ruohan Wang
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Hong Lu
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Fred Onyai
- National Environment Management Authority, Kampala 22255, Uganda
| | - Mingjin Tang
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Mingkun Tong
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Xueqiu Ni
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Meiling Zhong
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Jianyu Deng
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Yanjun Dong
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Pengfei Li
- Institute of Medical Technology, Peking University Health Science Centre, Beijing100083, China
- Advanced Institute of Information Technology, Peking University, Hangzhou 100871, China
| | - Tong Zhu
- College of Environmental Sciences and Engineering, Peking University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management, Center for Environment and Health, Peking University, Beijing 100871, China
| | - Tao Xue
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
- Advanced Institute of Information Technology, Peking University, Hangzhou 100871, China
- State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management, Center for Environment and Health, Peking University, Beijing 100871, China
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3
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Li L, Ran Y, Zhuang Y, Wang L, Chen J, Sun Y, Lu S, Ye F, Mei L, Ning Y, Dai F. Risk analysis of air pollutants and types of anemia: a UK Biobank prospective cohort study. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2024; 68:1343-1356. [PMID: 38607561 DOI: 10.1007/s00484-024-02670-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 02/01/2024] [Accepted: 04/01/2024] [Indexed: 04/13/2024]
Abstract
Previous studies have suggested that exposure to air pollutants may be associated with specific blood indicators or anemia in certain populations. However, there is insufficient epidemiological data and prospective evidence to evaluate the relationship between environmental air pollution and specific types of anemia. We conducted a large-scale prospective cohort study based on the UK Biobank. Annual average concentrations of NO2, PM2.5, PM2.5-10, and PM10 were obtained from the ESCAPE study using the Land Use Regression (LUR) model. The association between atmospheric pollutants and different types of anemia was investigated using the Cox proportional hazards model. Furthermore, restricted cubic splines were used to explore exposure-response relationships for positive associations, followed by stratification and effect modification analyses by gender and age. After adjusting for demographic characteristics, 3-4 of the four types of air pollution were significantly associated with an increased risk of iron deficiency, vitamin B12 deficiency and folate deficiency anemia, while there was no significant association with other defined types of anemia. After full adjustment, we estimated that the hazard ratios (HRs) of iron deficiency anemia associated with each 10 μg/m3 increase in NO2, PM2.5, and PM10 were 1.04 (95%CI: 1.02, 1.07), 2.00 (95%CI: 1.71, 2.33), and 1.10 (95%CI: 1.02, 1.20) respectively. The HRs of folate deficiency anemia with each 10 μg/m3 increase in NO2, PM2.5, PM2.5-10, and PM10 were 1.25 (95%CI: 1.12, 1.40), 4.61 (95%CI: 2.03, 10.47), 2.81 (95%CI: 1.11, 7.08), and 1.99 (95%CI: 1.25, 3.15) respectively. For vitamin B12 deficiency anemia, no significant association with atmospheric pollution was found. Additionally, we estimated almost linear exposure-response curves between air pollution and anemia, and interaction analyses suggested that gender and age did not modify the association between air pollution and anemia. Our research provided reliable evidence for the association between long-term exposure to PM10, PM2.5, PM2.5-10, NO2, and several types of anemia. NO2, PM2.5, and PM10 significantly increased the risk of iron deficiency anemia and folate deficiency anemia. Additionally, we found that the smaller the PM diameter, the higher the risk, and folate deficiency anemia was more susceptible to air pollution than iron deficiency anemia. No association was observed between the four types of air pollution and hemolytic anemia, aplastic anemia, and other types of anemia. Although the mechanisms are not well understood, we emphasize the need to limit the levels of PM and NO2 in the environment to reduce the potential impact of air pollution on folate and iron deficiency anemia.
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Affiliation(s)
- Laifu Li
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Shaanxi Province Key Laboratory of Gastrointestinal Motility Disorders, Xi'an, China
| | - Yan Ran
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Shaanxi Province Key Laboratory of Gastrointestinal Motility Disorders, Xi'an, China
| | - Yan Zhuang
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Shaanxi Province Key Laboratory of Gastrointestinal Motility Disorders, Xi'an, China
| | - Lianli Wang
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Shaanxi Province Key Laboratory of Gastrointestinal Motility Disorders, Xi'an, China
| | - Jiamiao Chen
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Shaanxi Province Key Laboratory of Gastrointestinal Motility Disorders, Xi'an, China
| | - Yating Sun
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Shaanxi Province Key Laboratory of Gastrointestinal Motility Disorders, Xi'an, China
| | - Shiwei Lu
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Shaanxi Province Key Laboratory of Gastrointestinal Motility Disorders, Xi'an, China
| | - Fangchen Ye
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Shaanxi Province Key Laboratory of Gastrointestinal Motility Disorders, Xi'an, China
| | - Lin Mei
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Shaanxi Province Key Laboratory of Gastrointestinal Motility Disorders, Xi'an, China
| | - Yu Ning
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Shaanxi Province Key Laboratory of Gastrointestinal Motility Disorders, Xi'an, China
| | - Fei Dai
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
- Shaanxi Province Key Laboratory of Gastrointestinal Motility Disorders, Xi'an, China.
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Miranda SP, Owais A, Lopez MV, Herrera EK, Unar-Munguía M, Rodriguez FM, Merritt CE, Lee C, Rattan P, Ataullahjan A, Dommarco JR, Arenas AB, Neufeld LM, Bhutta ZA. Factors Affecting Anemia among Women of Reproductive Age in Mexico: A Mixed-Methods Country Case Study. Am J Clin Nutr 2024:S0002-9165(24)00531-8. [PMID: 38914225 DOI: 10.1016/j.ajcnut.2024.05.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 05/24/2024] [Accepted: 05/30/2024] [Indexed: 06/26/2024] Open
Abstract
BACKGROUND In Mexico, anemia prevalence among women of reproductive age (WRA) decreased from 16.4% in 2006 to 11.6% in 2012, only to increase to 18.3% in 2016. The factors associated with this fluctuation are uncertain. OBJECTIVE We conducted a systematic in-depth assessment of the quantitative and qualitative determinants of anemia among WRA in Mexico between 2006 and 2018. METHODS Using multivariate stepwise linear regression, we analyzed Mexico's Encuesta Nacional de Salud y Nutrición (ENSANUT) surveys from 2006, 2012, and 2018 to identify determinants of WRA anemia. We also conducted a review of anemia-relevant programs and policies, including financing documents, and conducted in-depth interviews and focus group discussions with key stakeholders in Mexico. RESULTS Among non-pregnant women (NPW) 15-49 years, mean hemoglobin (Hb) increased from 13.8 g/dL in 2006 to 14.0 g/dL in 2012, decreasing to 13.2 g/dL in 2018 (p<0.001). Inequities by geographical region and household wealth persisted throughout this period, with household wealth, urban residence and gravidity emerging as significant predictors of Hb among NPW. Qualitative analyses generally supported these findings. The most discussed program was Progresa-Oportunidades-Prospera (POP), where most resources for health were invested and most participants acknowledged that its cancellation in 2019 would lead to worsening in health and nutrition among the poor. Financing analyses showed a drop of funding for nutrition-related programs between 2014 and 2018. Cultural norms around gender roles were still prevalent, along with increasing rates of teenage pregnancy. CONCLUSIONS Anemia prevention efforts need to refocus on poverty alleviation, continuity of adequate coverage and financing of nutrition programs, especially with safety nets, and increase in uptake of family planning, especially among adolescent girls.
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Affiliation(s)
| | - Aatekah Owais
- Centre for Global Child Health, Hospital for Sick Children, Toronto, Canada
| | | | | | | | | | | | - Christopher Lee
- Centre for Global Child Health, Hospital for Sick Children, Toronto, Canada
| | - Preety Rattan
- Centre for Global Child Health, Hospital for Sick Children, Toronto, Canada
| | | | | | | | - Lynnette M Neufeld
- Food and Nutrition Division, Food and Agriculture Organization of the United Nations (FAO), Rome, Italy
| | - Zulfiqar A Bhutta
- Centre for Global Child Health, Hospital for Sick Children, Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada; Centre of Excellence in Women and Child Health, the Aga Khan University, Karachi, Pakistan.
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Hwang J, Kim HJ. Association of ambient air pollution with hemoglobin levels and anemia in the general population of Korean adults. BMC Public Health 2024; 24:988. [PMID: 38594672 PMCID: PMC11003135 DOI: 10.1186/s12889-024-18492-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 03/31/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Emerging evidence has suggested significant associations between ambient air pollution and changes in hemoglobin levels or anemia in specific vulnerable groups, but few studies have assessed this relationship in the general population. This study aimed to evaluate the association between long-term exposure to air pollution and hemoglobin concentrations or anemia in general adults in South Korea. METHODS A total of 69,830 Korean adults from a large-scale nationwide survey were selected for our final analysis. Air pollutants included particulate matter with an aerodynamic diameter less than or equal to 10 micrometers (PM10), particulate matter with an aerodynamic diameter less than or equal to 2.5 micrometers, nitrogen dioxide, sulfur dioxide (SO2), and carbon monoxide (CO). We measured the serum hemoglobin concentration to assess anemia for each participant. RESULTS In the fully adjusted model, exposure levels to PM10, SO2, and CO for one and two years were significantly associated with decreased hemoglobin concentrations (all p < 0.05), with effects ranging from 0.15 to 0.62% per increase in interquartile range (IQR) for each air pollutant. We also showed a significant association of annual exposure to PM10 with anemia (p = 0.0426); the odds ratio (OR) [95% confidence interval (CI)] for anemia per each increase in IQR in PM10 was estimated to be 1.039 (1.001-1.079). This association was also found in the 2-year duration of exposure (OR = 1.046; 95% CI = 1.009-1.083; adjusted Model 2). In addition, CO exposure during two years was closely related to anemia (OR = 1.046; 95% CI = 1.004-1.091; adjusted Model 2). CONCLUSIONS This study provides the first evidence that long-term exposure to air pollution, especially PM10, is significantly associated with reduced hemoglobin levels and anemia in the general adult population.
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Affiliation(s)
- Juyeon Hwang
- Cancer Big Data Center, National Cancer Control Institute, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, 10408, Goyang-si Gyeonggi-do, South Korea
| | - Hyun-Jin Kim
- Cancer Big Data Center, National Cancer Control Institute, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, 10408, Goyang-si Gyeonggi-do, South Korea.
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Khan Y, Banerjee R. Exposure to air pollution as a risk factor for anaemia: a global scoping review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-13. [PMID: 38461370 DOI: 10.1080/09603123.2024.2327532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 03/03/2024] [Indexed: 03/11/2024]
Abstract
Anaemia is an important global health issue with various factors responsible for its occurrence. Though nutritional deficiency is one of the main causes of the disease, evidence suggests a potential link between long-term exposure to ambient air pollution and an increased risk of developing anaemia. Our scoping review evaluates studies conducted across the world to examine possible associations between anaemia and ambient air pollution. Six databases were searched, 153 sources were identified, and 21 articles were included in the review. Apart from one article which showed no significant effect, studies reported positive associations between anaemia and air pollution. This was true for both indoor and outdoor air pollution, various types of particulate matter exposure, and across demographic groups. The review highlights the importance of recognizing exposure to air pollution as a potential risk factor for anaemia and emphasizes the imperative for focused interventions and policy measures to mitigate air pollution.
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Affiliation(s)
- Yasmin Khan
- Department of Health Management, International Institute of Health Management Research, Dwarka, New Delhi, India
| | - Rupsa Banerjee
- Department of Health Management, International Institute of Health Management Research, Dwarka, New Delhi, India
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Bhattarai G, Shrestha SK, Sim HJ, Lee JC, Kook SH. Effects of fine particulate matter on bone marrow-conserved hematopoietic and mesenchymal stem cells: a systematic review. Exp Mol Med 2024; 56:118-128. [PMID: 38200155 PMCID: PMC10834576 DOI: 10.1038/s12276-023-01149-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/25/2023] [Accepted: 11/02/2023] [Indexed: 01/12/2024] Open
Abstract
The harmful effects of fine particulate matter ≤2.5 µm in size (PM2.5) on human health have received considerable attention. However, while the impact of PM2.5 on the respiratory and cardiovascular systems has been well studied, less is known about the effects on stem cells in the bone marrow (BM). With an emphasis on the invasive characteristics of PM2.5, this review examines the current knowledge of the health effects of PM2.5 exposure on BM-residing stem cells. Recent studies have shown that PM2.5 enters the circulation and then travels to distant organs, including the BM, to induce oxidative stress, systemic inflammation and epigenetic changes, resulting in the reduction of BM-residing stem cell survival and function. Understanding the broader health effects of air pollution thus requires an understanding of the invasive characteristics of PM2.5 and its direct influence on stem cells in the BM. As noted in this review, further studies are needed to elucidate the underlying processes by which PM2.5 disturbs the BM microenvironment and inhibits stem cell functionality. Strategies to prevent or ameliorate the negative effects of PM2.5 exposure on BM-residing stem cells and to maintain the regenerative capacity of those cells must also be investigated. By focusing on the complex relationship between PM2.5 and BM-resident stem cells, this review highlights the importance of specific measures directed at safeguarding human health in the face of rising air pollution.
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Affiliation(s)
- Govinda Bhattarai
- Department of Bioactive Material Sciences, Research Center of Bioactive Materials, Jeonbuk National University, Jeonju, 54896, Republic of Korea
- Cluster for Craniofacial Development and Regeneration Research, Institute of Oral Biosciences and School of Dentistry, Jeonbuk National University, Jeonju, 54896, Republic of Korea
| | - Saroj Kumar Shrestha
- Cluster for Craniofacial Development and Regeneration Research, Institute of Oral Biosciences and School of Dentistry, Jeonbuk National University, Jeonju, 54896, Republic of Korea
| | - Hyun-Jaung Sim
- Department of Bioactive Material Sciences, Research Center of Bioactive Materials, Jeonbuk National University, Jeonju, 54896, Republic of Korea
- Cluster for Craniofacial Development and Regeneration Research, Institute of Oral Biosciences and School of Dentistry, Jeonbuk National University, Jeonju, 54896, Republic of Korea
| | - Jeong-Chae Lee
- Department of Bioactive Material Sciences, Research Center of Bioactive Materials, Jeonbuk National University, Jeonju, 54896, Republic of Korea.
- Cluster for Craniofacial Development and Regeneration Research, Institute of Oral Biosciences and School of Dentistry, Jeonbuk National University, Jeonju, 54896, Republic of Korea.
| | - Sung-Ho Kook
- Department of Bioactive Material Sciences, Research Center of Bioactive Materials, Jeonbuk National University, Jeonju, 54896, Republic of Korea.
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Xin J, Luo Y, Xiang W, Zhu S, Niu H, Feng J, Sun L, Zhang B, Zhou X, Yang W. Measurement of the burdens of neonatal disorders in 204 countries, 1990-2019: a global burden of disease-based study. Front Public Health 2024; 11:1282451. [PMID: 38264240 PMCID: PMC10803531 DOI: 10.3389/fpubh.2023.1282451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 12/08/2023] [Indexed: 01/25/2024] Open
Abstract
Background Neonatal disorders are facing serious public health challenges. Previous studies were based on limited data sources and had a narrow geographical scope. We aim to understand the trends of alteration in the burden of neonatal disorders from 1990 to 2019 in 204 countries and territories. Methods Data were investigated from the Global Burden of Disease Study 2019. First, we visualized the burden of neonatal disorders using the number of cases and the age-standardized incidence rate (ASIR), death rate (ASDR), and disability-adjusted life years (ASR-DALYs) from 1990 to 2019. Second, estimated annual percentage changes (EAPCs) were used to evaluate the temporal trends of disease burden during different periods. Finally, the sociodemographic index (SDI) and human development index (HDI) were used to determine whether there exists a correlation between socioeconomic development level, human development level, and potential burden consequences. Results Overall, in the past 30 years, the ASIR trends have remained relatively steady, whereas the ASDR and ASR-DALYs have declined. However, the burden of neonatal disorders varied greatly in various regions and countries. Among 21 regions, the ASIR trend had the largest increase in Central Latin America (EAPC = 0.42, 95%CI = 0.33-0.50). Conversely, the ASDR and ASR-DALYs experienced the largest decrease in Central Europe (EAPC = -5.10, 95%CI = -5.28 to 4.93) and East Asia (EAPC = -4.07, 95%CI = -4.41 to 3.73), respectively. Among 204 countries, the ASIR (EAPC = 3.35, 95%CI = 3.13-3.56) trend in Greece displayed the most significant increase, while the ASDR (EAPC = 1.26, 95%CI = 1.01-1.50) and ASR-DALYs (EAPC = 1.26, 95%CI = 1.03-1.49) trends in Dominica experienced the most substantial increase. Furthermore, there was a strong correlation between the EAPCs in ASIR, ASDR, ASR-DALYs, and SDI or HDI in 2019, with some exceptions. In addition, countries with elevated levels of HDI experienced a faster increase in ASDR and ASR-DALYs for neonatal disorders. Conclusion Although the burden of neonatal disorders shows a downward trend from 1990 to 2019, it is still not optimistic. It is necessary to implement a multi-pronged approach to reduce the increasing burden of neonatal disorders.
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Affiliation(s)
- Juan Xin
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Continuing Education and Training Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi’an, China
| | - Yiwen Luo
- School of Public Health, Jiaotong University Health Science Center, Xi’an, China
| | - Wanwan Xiang
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- School of Public Health, Jiaotong University Health Science Center, Xi’an, China
| | - Sijing Zhu
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Hui Niu
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- School of Public Health, Jiaotong University Health Science Center, Xi’an, China
| | - Jiayuan Feng
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- School of Public Health, Jiaotong University Health Science Center, Xi’an, China
| | - Landi Sun
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- School of Public Health, Jiaotong University Health Science Center, Xi’an, China
| | - Boxing Zhang
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- School of Public Health, Jiaotong University Health Science Center, Xi’an, China
| | - Xihui Zhou
- Department of Pediatrics, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Wenfang Yang
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
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9
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Hu B, Xu L, Yang X, Qu S, Wu L, Sun Y, Yan J, Zhang Y, Yu Z, Wang Y, Jia R. Association between ambient air pollution exposure in pregnant women with antiphospholipid syndrome in Nanjing, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:116266-116278. [PMID: 37910359 PMCID: PMC10682106 DOI: 10.1007/s11356-023-29937-0] [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: 06/12/2023] [Accepted: 09/13/2023] [Indexed: 11/03/2023]
Abstract
Antenatal exposure to air pollutants is thought to be associated with a variety of maternal blood markers as well as adverse birth outcomes. However, the dysgenic influence of air pollutants on the antiphospholipid syndrome (APS) in mothers and their pregnancy outcomes remains unclear. In the current study, 371 mother-infant pairs (189 healthy: 182 APS) from Nanjing Maternal and Child Health Hospital as well as air pollutants concentration from their living environment were used to investigate correlations between air pollution with maternal blood indicators and fetal birth weight in the groups of APS and healthy mothers. Generalized linear model was used to evaluate the contributions of air pollutant exposure during pregnancy to the blood indicators variation. The relationships between birth weight with specific air pollutant and blood index were analyzed using ridge regression. Results showed that APS fetal birth weight was significantly impacted by air pollutant exposure during pregnancy, in particular, the birth weight decreased significantly along with increasing fine particulate matter 2.5 (PM2.5) and fine particulate matter 10 (PM10) exposure concentrations throughout pregnancy. In contrast, birth weight increased significantly with sulfur dioxide (SO2) exposure. In addition, APS-related blood indicators comprised of platelet distribution width (PDW), total bilirubin (TBIL), mean platelet volume (MPV), platelet-larger cell ratio (P_LCR), homocysteine (HCY), alkaline phosphatase (ALP), direct bilirubin (DBIL), basophilic granulocyte (BAS), platelet thrombocytocrit (PCT), preprandial glucose levels (OGTT0), monocytes (MON), and monocytes ratio (MON_ratio) were also strongly related with prenatal exposure to PM2.5 and PM10, in which PDW levels showed most strongly negative impaction on fetal birth weight. Together, we showed that prenatal exposure to air pollutant (PM2.5 and PM10) may exacerbate the poor birth outcomes of low birth weight by impacting APS maternal blood indicators especially for PDW.
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Affiliation(s)
- Bimei Hu
- Lianyungang Branch of Traditional Chinese Medicine, Jiangsu Union Technical Institute, Lianyungang, 222000, Jiangsu, China
| | - Linjie Xu
- Department of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing, 210000, Jiangsu, China
| | - Xu Yang
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, 210000, Jiangsu, China
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 210000, Jiangsu, China
| | - Shiwen Qu
- Lianyungang Branch of Traditional Chinese Medicine, Jiangsu Union Technical Institute, Lianyungang, 222000, Jiangsu, China
| | - Lan Wu
- Department of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing, 210000, Jiangsu, China
| | - Yumei Sun
- Information Center, Women's Hospital of Nanjing Medical University, Nanjing, 210000, Jiangsu, China
| | - Jun Yan
- Department of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing, 210000, Jiangsu, China
| | - Yexiao Zhang
- Department of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing, 210000, Jiangsu, China
| | - Zhaoer Yu
- Department of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing, 210000, Jiangsu, China
| | - Yixiao Wang
- Department of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing, 210000, Jiangsu, China
| | - Ruizhe Jia
- Department of Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing, 210000, Jiangsu, China.
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Zheng Y, He Y, Kang N, Zhang C, Liao W, Yuchi Y, Liu X, Hou J, Mao Z, Huo W, Zhang K, Tian H, Lin H, Wang C. Associations of Long-Term Exposure to PM 2.5 and Its Constituents with Erythrocytosis and Thrombocytosis in Rural Populations. TOXICS 2023; 11:885. [PMID: 37999537 PMCID: PMC10674504 DOI: 10.3390/toxics11110885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/21/2023] [Accepted: 10/24/2023] [Indexed: 11/25/2023]
Abstract
Evidence on the effect of long-term exposure to fine particulate matter (PM2.5) on erythrocytosis and thrombocytosis prevalence was limited. We aimed to investigate the association of PM2.5 and its constituents with the risks of erythrocytosis and thrombocytosis. The present study included a total of 33,585 participants from the Henan Rural Cohort at baseline between 2015 and 2017. A hybrid satellite-based model was employed to estimate the concentrations of PM2.5 mass and its constituents (including black carbon [BC], nitrate [NO3-], ammonium [NH4+], inorganic sulfate [SO42-], organic matter [OM], and soil particles [SOIL]). The logistic regression model was used to assess the associations of single exposure to PM2.5 and its constituents with the risks of erythrocytosis and thrombocytosis, and the quantile G-computation method was applied to evaluate their joint exposure risk. For the independent association, the odds ratios for erythrocytosis/thrombocytosis with 1 μg/m3 increase was 1.049/1.043 for PM2.5 mass, 1.596/1.610 for BC, 1.410/1.231 for NH4+, 1.205/1.139 for NO3-, 1.221/1.359 for OM, 1.300/1.143 for SO42-, and 1.197/1.313 for SOIL. Joint exposure to PM2.5 and its components was also positively associated with erythrocytosis and thrombocytosis. The estimated weight of NH4+ was found to be the largest for erythrocytosis, while OM had the largest weight for thrombocytosis. PM2.5 mass and its constituents were positively linked to prevalent erythrocytosis and thrombocytosis, both in single-exposure and joint-exposure models. Additionally, NH4+/OM was identified as a potentially responsible component for the association between PM2.5 and erythrocytosis/thrombocytosis.
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Affiliation(s)
- Yiquan Zheng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yaling He
- 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 430074, China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Caiyun Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yinghao Yuchi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY 12222, USA
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Hualiang Lin
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
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11
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Li P, Wu J, Ni X, Tong M, Lu H, Liu H, Xue T, Zhu T. Associations between hemoglobin levels and source-specific exposure to ambient fine particles among children aged <5 years in low- and middle-income countries. JOURNAL OF HAZARDOUS MATERIALS 2023; 459:132061. [PMID: 37467606 DOI: 10.1016/j.jhazmat.2023.132061] [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: 05/04/2023] [Revised: 06/14/2023] [Accepted: 07/12/2023] [Indexed: 07/21/2023]
Abstract
OBJECTIVE We investigated associations between source-specific fine particulate matter (PM2.5) exposure and hemoglobin levels among children in low- and middle-income countries (LMICs). METHOD 36,675 children aged < 5 years were collected in 11 LMICs during 2017. We associated child hemoglobin with 20 source-specific PM2.5, and calculated changes in hemoglobin that could be attributed to different PM2.5-mixture scenarios, established using real-world data from 88 Asian and African LMICs (AA-LMICs). RESULTS Multiple-source analysis revealed PM2.5 produced by solvents (change in hemoglobin for 1-μg/m3 increment in PM2.5: -10.34 g/L, 95% CI -14.88 to -5.91), industrial coal combustion (-0.51 g/L, 95% CI -9.25 to -0.08), road transportation (-0.50 g/L, 95% CI -6.96 to -0.29), or waste handling and disposal (-0.34 g/L, 95% CI -4.38 to -0.23) was significantly associated with a decrease in hemoglobin level. Decreases in hemoglobin attributable to the PM2.5 mixtures were co-determined by the concentrations and their source profiles. The largest PM2.5-related change in hemoglobin was -10.25 g/L (95% CI -15.54 to -5.27) for a mean exposure of 61.01 μg/m3 in India. CONCLUSION Association between PM2.5 and a decrease in hemoglobin was affected by variations in PM2.5 source profiles. Source-oriented interventions are warranted to protect children in LMICs from air pollution.
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Affiliation(s)
- Pengfei Li
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China; National Institute of Health Data Science, Peking University, Beijing 100191, China
| | - Jingyi Wu
- Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China
| | - Xueqiu Ni
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Mingkun Tong
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Hong Lu
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Hengyi Liu
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Tao Xue
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China; State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health, Peking University, Beijing, China.
| | - Tong Zhu
- State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health, Peking University, Beijing, China; College of Environmental Sciences and Engineering, Peking University, Beijing, 100084, China
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12
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He C, Xie L, Gu L, Yan H, Feng S, Zeng C, Danzhen W, Zhang X, Han M, Li Z, Duoji Z, Guo B, Zhang J, Hong F, Zhao X. Anemia is associated with long-term exposure to PM 2.5 and its components: a large population-based study in Southwest China. Ther Adv Hematol 2023; 14:20406207231189922. [PMID: 37654523 PMCID: PMC10467225 DOI: 10.1177/20406207231189922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 07/07/2023] [Indexed: 09/02/2023] Open
Abstract
Background Anemia is linked to PM2.5 (particulate matter with aerodynamic diameters of ⩽2.5 μm) exposure, which can increase the risk of various negative health outcomes. It remains unclear which PM2.5 components are associated with anemia and the respective contribution of each component to this association. Objective This study aimed at investigating the association between PM2.5 and anemia in the general population and to identify the most critical PM2.5 toxic components in this association. Design Cross-sectional study. Methods Our study involved a large cohort of 73,511 individuals aged 30-79 from China's multi-ethnic population. We employed satellite observations and the chemical transport model (GEOS-Chem)to estimate the long-term exposure to PM2.5 and its components. Anemia was defined, according to WHO guidelines, as Hb levels below 130 g/L for men and below 120 g/L for women. Through logistic regression, we investigated the association between PM2.5 components and anemia. By utilizing weighted quantile sum (WQS) analysis, we identified key components and gained insights into their combined impact on anemia. Overall, our study sheds light on the relationship between PM2.5 exposure, its constituents, and the risk of anemia in a large cohort. Results PM2.5 and three components, nitrate (NIT), organic matter (OM), and soil particles (SOIL), were associated with anemia. Per-standard deviation increase in the 3-year average concentrations of PM2.5 [odds ratio (OR): 1.14, 95% confidence interval (CI): 1.01, 1.28], NIT (1.20, 1.06, 1.35), OM (1.17, 1.04, 1.32), and SOIL (1.22, 1.11, 1.33) were associated with higher odds of anemia. In WQS regression analysis, the WQS index was associated with anemia (OR: 1.29, 95% CI: 1.13, 1.47). SOIL has the highest weight among all PM2.5 components. Conclusions Long-term exposure to PM2.5 and its constituents is associated with anemia. Moreover, SOIL might be the most critical component of the relationship between PM2.5 and anemia. Our research increases the evidence of the association between PM2.5 and anemia in the general population, and targeted emission control measures should be taken into consideration to mitigate the adverse effects of PM2.5-related anemia.
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Affiliation(s)
- Congyuan He
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Linshen Xie
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lingxi Gu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hongyu Yan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Shiyu Feng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chunmei Zeng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wangjiu Danzhen
- Tibet Center for Disease Control and Prevention CN, Lhasa, Tibet, China
| | - Xuehui Zhang
- School of Public Health, Kunming Medical University, Kunming, Yunnan, China
| | - Mingming Han
- Chengdu Center for Disease Control & Prevention, Chengdu, Sichuan, China
| | - Zhifeng Li
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | | | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Juying Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Road, Chengdu, Sichuan 610041, China
| | - Feng Hong
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, University Town, Guian New Area, Guiyang, Guizhou 550025, China
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Road, Chengdu, Sichuan 610041, China
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13
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Xie G, Wang R, Zhang B, Sun L, Xiang W, Xu M, Zhu S, Guo L, Xu X, Yang W. Non-linear connections between maternal hemoglobin during the third trimester of pregnancy and birth weight outcomes in full-term newborns: Estimating the breakpoints. Front Nutr 2022; 9:1031781. [PMID: 36618680 PMCID: PMC9815559 DOI: 10.3389/fnut.2022.1031781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 11/28/2022] [Indexed: 12/24/2022] Open
Abstract
Objective Anemia is still an unfinished global health problem, and adverse birth weight outcomes have everlasting influences on the health of later life. However, the non-linear connections and breakpoints of maternal hemoglobin with birth weight outcomes are still needed to be further elucidated. We aimed to reveal the non-linear connections between maternal hemoglobin during the third trimester of pregnancy and birth weight, low birth weight (LBW), macrosomia, small for gestational age (SGA), and large for gestational age (LGA) in full-term newborns and elucidate the breakpoints of the connections. Methods A total of 11,411 singletons, full-term, and live newborns, whose mothers conducted the examination of hemoglobin concentration before delivery, were included in this study. A generalized additive model was used to identify and visualize the non-linear connections between maternal hemoglobin and birth weight outcomes. Piecewise linear regression model was adopted to estimate the breakpoints of the connections and report the non-linear connections in detail. Results There were inverted "U"-shaped exposure-response connections between maternal hemoglobin concentration and birth weight and the risk of macrosomia. There was an increasing trend of the risk of LBW and a decreased trend of LGA with the increase in maternal hemoglobin concentration. The breakpoints of maternal hemoglobin for birth weight were 100 and 138 g/L, and those for SGA were 97 and 138 g/L. The breakpoints of maternal hemoglobin were 119 g/L for LBW, 105 g/L for macrosomia, and 106 g/L for LGA. When maternal hemoglobin concentration ranged from 100 to 138 g/L, maternal hemoglobin concentration increased per 1 g/L, and birth weight significantly decreased by 2.58 g (95% CI: -3.33, -1.83). When maternal hemoglobin concentration ranged from 97 to 138 g/L, maternal hemoglobin concentration increased per 1 g/L, and the risk of SGA significantly increased by 2% (95% CI: 1%, 3%). When maternal hemoglobin concentration was equal to or lower than 119 g/L, maternal hemoglobin concentration increased per 1 g/L, and the risk of LBW significantly increased by 3% (95% CI: 0%, 5%). When maternal hemoglobin concentration was higher than the breakpoints, the risks of macrosomia (OR = 0.99, 95% CI: 0.98, 0.99) and LGA (OR = 0.99, 95% CI: 0.98, 1.00) declined as the increase of maternal hemoglobin concentration. Conclusions There were non-linear connections between maternal hemoglobin and birth weight outcomes, and there are breakpoints in the connections. Cost-effective interventions targeting pregnant women in the prevention of abnormal maternal hemoglobin concentration should be taken to reduce the incidence of adverse birth weight outcomes.
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Affiliation(s)
- Guilan Xie
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Ruiqi Wang
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Boxing Zhang
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Landi Sun
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Wanwan Xiang
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Mengmeng Xu
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Sijing Zhu
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Leqian Guo
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xu Xu
- National Medical Center Office, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Wenfang Yang
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
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14
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Lei X, Zhang Y, Wang Z, Lu Z, Pan C, Zhang S, Chen Q, Yuan T, Zhang J, Gao Y, Tian Y. Effects of prenatal exposure to PM 2.5 and its composition on cognitive and motor functions in children at 12 months of age: The Shanghai Birth Cohort Study. ENVIRONMENT INTERNATIONAL 2022; 170:107597. [PMID: 36327589 DOI: 10.1016/j.envint.2022.107597] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 09/30/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Prenatal fine particulate matter (PM2.5) exposure has been linked to infant cognitive and motor functions, but the effects of PM2.5 chemical composition remain unclear. OBJECTIVES We aimed to explore the associations of prenatal PM2.5 and its composition exposure with infant cognitive and motor functions. METHODS We studied 2,435 mother-infant pairs in the Shanghai Birth Cohort Study. PM2.5 and its seven compositions [primary particles (black carbon, mineral dust and sea salts) and secondary particles (NH4+, NO3-, SO42- and organic matter)] during thethreetrimesters ofpregnancy were retrieved from the V4.CH.03 product developed by using a combined geoscience-statistical method. At the 12-month-old follow-up, infant cognitive and motor functions in five domains were assessed using the Ages and Stages Questionnaire (ASQ). We used multivariable linear regressions to estimate the effects of PM2.5 and its composition on the ASQ scores, for all infants and stratifying by sex and breastfeeding duration. RESULTS PM2.5 exposure was negatively associated with gross motor, problem-solving and personal-social scores for all infants. PM2.5 compositions were inversely associated with ASQ scores in all five domains, and the effects of different compositions varied across domains. Specifically, all compositions except organic matter were correlated with lower problem-solving scores [e.g., ( [Formula: see text] = - 10.79, 95 % CI: -17.40, -4.18) ∼ ( [Formula: see text] = - 4.68, 95 % CI: -7.84, -1.53); for each 10 μg/m3 increase in PM2.5 compositions during the third trimester]. Primary and some secondary particles (organic matter, NO3-) were related to lower gross motor scores. Secondary particles were also inversely associated with communication (organic matter and NO3-), fine motor (NH4+, NO3-, SO42-) and personal-social (NH4+) scores. Additionally, boys and infants breastfed for < 6 months appeared to be more susceptible. CONCLUSIONS We found negative associations of PM2.5 and its compositions with infant cognitive and motor functions over a range of domains, especially the problem-solving domain.
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Affiliation(s)
- Xiaoning Lei
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yan Zhang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Zixia Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Zhenping Lu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Chengyu Pan
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Shanyu Zhang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Qian Chen
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Tao Yuan
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yu Gao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| | - Ying Tian
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
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