Exploring the association between air pollution and spontaneous abortion through systematic review and bibliometric analysis

被引:2
作者
Babu, Priyadharshini [1 ]
Verma, Vaishali [2 ]
Khadanga, Swapna Sarika [3 ]
Yadav, Shailendra Kumar [4 ]
Kumar, Dudam Bharath [5 ]
Gupta, Ayushi [6 ]
机构
[1] Vellore Inst Technol, Ctr Disaster Mitigat & Management CDMM, Vellore 632014, Tamil Nadu, India
[2] Bennett Univ, Sch Engn & Appl Sci, Dept Biotechnol, Greater Noida 201310, Uttar Pradesh, India
[3] Siksha O Anusandhan, Ctr Biotechnol, Bhubaneswar 751030, Odisha, India
[4] Babasaheb Bhimrao Ambedkar Univ, Raibareli Rd, Lucknow 226025, Uttar Pradesh, India
[5] Chaitanya Bharathi Inst Technol, Dept Civil Engn, Hyderabad 500075, India
[6] Azim Premji Univ, Knowledge Resource Ctr, Bengaluru 562125, Karnataka, India
关键词
Air pollutants; Particulate matter; Gaseous pollutants; Pregnancy loss; Miscarriage; Intrauterine mortality; ADVERSE PREGNANCY OUTCOMES; LOW-BIRTH-WEIGHT; PRETERM BIRTH; ETHYLENE-OXIDE; AMBIENT PM2.5; EXPOSURE; WOMEN; RISK; INFLAMMATION; EMISSIONS;
D O I
10.1007/s11869-023-01491-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Air pollution has been recognized as a significant environmental risk factor with potentially adverse effects on women's reproductive health. This study presents the existing literature on air pollution exposure and its link to spontaneous abortion (SAB) utilizing a systematic literature review (SLR) and bibliometric analysis (BA). Firstly, SLR was employed to collect relevant articles based on specified inclusion/exclusion criteria and formulated research questions. Secondly, BA was used to map and assess research trends, current knowledge, and structure using network analysis constructed on citation, co-citation, co-occurrence, and collaboration patterns among articles, authors, keywords, and institutions, respectively. Thematic analysis identified emerging and crucial research areas. This review encompasses 45 articles investigating short- and long-term exposure to single pollutants (n = 18) and multi-air pollutants (n = 27). Particulate matter-PM2.5 (n = 12 of 16) and PM10 (n = 10 of 14), and NO2 (n = 8 of 14) demonstrated the most consistent associations with SAB followed by SO2 (n = 5 of 9) and O3 (n = 3 of 6), while CO (n = 4 of 6), PAH (n = 1 of 2), BC, and heavy metal (n = 1 of 1 each) showed inconsistent associations. This study reports considerable heterogeneity between studies concerning study design, air pollution exposure assessment, and outcome assessment. Studies of this nature present immense challenges and demand a standard protocol and a multi-disciplinary strategy involving scientists, epidemiologists, governments, and policymakers. Finally, systematic mapping and analysis performed in this study provide valuable insights into future research paths, offering a roadmap for further investigation.
引用
收藏
页码:1107 / 1133
页数:27
相关论文
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ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (44) :67380-67389