Maternal Health Maternal smoking during pregnancy: A scientometric analysis of the 100 most-cited articles

Main Article Content

U Ghimire
S I Mohammed
T Y Akintunde
T H Musa
S O Isangha

Abstract




Maternal smoking during pregnancy is a severe behavioural problem that raises significant public health concerns. A notable amount of research has been published, and its evolution based on citations, knowledge structure, and impact on the scientific community is not entirely understood. This study identifies and describes the top most frequently cited 100 articles on maternal smoking during pregnancy. The top 100 articles were identified using the Scopus data database. Metadata were collected and analysed using bibliometrix and R package. The 100 most-cited articles (83 articles and 17 reviews) were published between 1971 and 2018. Those articles were cited 28 550 times, with a mean number of citations of 285.5 and a range of 189 - 812. A statistically significant positive correlation was observed in the number of the articles and citations score per year (r=0.635, p<0.001). Fifty-eight of the articles originated from the USA, with 52 in single-country publications and 6 in multiple-country publications. These articles were published in 58 journals, and the American Journal of Epidemiology published the most significant number of articles (n=8). Analysis through source clustering using Bradford’s Law indicated that the top 7 journals are in zone 1 (core journal) for the fields. The most prolific author is Gilliland, with h_index 5. The highest frequency keywords are pregnancy, smoking, maternal smoking, asthma, prenatal, environmental tobacco smoke, infant, abruptio placentae, birthweight and child. Our study offers researchers a thorough examination of the traits of the 100 articles on maternal smoking during pregnancy that have received the most citations, and a way to pinpoint any remaining research gaps.




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Maternal Health Maternal smoking during pregnancy: A scientometric analysis of the 100 most-cited articles. (2023). Southern African Journal of Public Health, 6(3), 71-77. https://doi.org/10.7196/SAJPH.2023.v6i3.761
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Original Articles

How to Cite

Maternal Health Maternal smoking during pregnancy: A scientometric analysis of the 100 most-cited articles. (2023). Southern African Journal of Public Health, 6(3), 71-77. https://doi.org/10.7196/SAJPH.2023.v6i3.761

References

Ernst M, Moolchan ET, Robinson ML. Behavioral and neural consequences of prenatal exposure to nicotine. J Am Acad Child Adolesc Psychiatry 2001;40(6):630-641. https://doi. org/10.1097/00004583-200106000-00007

Knopik VS, Sparrow EP, Madden PAF, et al. Contributions of parental alcoholism, prenatal substance exposure, and genetic transmission to child ADHD risk: A female twin study. Psychol Med 2005;35(5):625-635. https://doi.org/10.1017/s0033291704004155

Knopik VS. Maternal smoking during pregnancy and child outcomes: Real or spurious effect? Dev Neuropsychol 2009;34(1):1-36. https://doi.org/10.1080/87565640802564366 4. Smith M V, Shao L, Howell H, Lin H, Yonkers KA. Perinatal depression and birth outcomes in

a Healthy Start project. Matern Child Health J 2011;15(3):401-409. https://doi.org/10.1007/

s10995-010-0595-6

Elsenbruch S, Benson S, Rücke M, et al. Social support during pregnancy: effects on maternal depressive symptoms, smoking and pregnancy outcome. Hum Reprod 2007;22(3):869-877. https://doi.org/10.1093/humrep/del432

Bedaso A, Adams J, Peng W, Sibbritt D. Prevalence and determinants of low social support during pregnancy among Australian women: A community-based cross-sectional study. Reprod Health 2021;158(18):158. https://doi.org/10.1186/s12978-021-01210-y

Windham GC, Hopkins B, Fenster L, Swan SH. Prenatal active or passive tobacco smoke exposure and the risk of preterm delivery or low birth weight. Epidemiology 2000;11(4):427-433. https://doi.org/10.1097/00001648-200007000-00011

Dietz PM, England LJ, Shapiro-Mendoza CK, Tong VT, Farr SL, Callaghan WM. Infant morbidity and mortality attributable to prenatal smoking in the U.S. Am J Prev Med 2010;39:45-52. https://doi.org/10.1016/j.amepre.2010.03.009

Gilliland FD, Li Y-F, Dubeau L, et al. Effects of glutathione S-transferase M1, maternal smoking during pregnancy, and environmental tobacco smoke on asthma and wheezing in children. Am J Respir Crit Care Med 2002;166(4):457-463. https://doi.org/10.1164/ rccm.2112064.

Stick SM, Burton PR, Gurrin L, Sly PD, LeSouëf PN. Effects of maternal smoking during pregnancy and a family history of asthma on respiratory function in newborn infants. Lancet 1996;348(9034):1060-1064. https//doi.org/10.1016/s0140-6736(96)04446-7.

Zachariah R. Social support, life stress, and anxiety as predictors of pregnancy complications in low-income women. Res Nurs Health 2009;32(4):391-404. https://doi. org/10.1002/nur.20335

Onasanya AK, Oderinde OK, Akintunde Ty, et al. Bibliometric analysis of 100 top-cited articles on neem indexed in the Web of Science. Trop J Nat Prod Res 2022;6(1):95-108. https://doi.org/10.26538/tjnpr/v6i1.17

Musa TH, Li W, Kawuki J, Wei P. The 100 top-cited articles on scrub typhus: A bibliometric analysis. Osong Public Health Res Perspect 2021;12(2):126-135. https://doi. org/10.24171/j.phrp.2021.12.2.10

Gatasi G, Musa TH, Odjidja EN. Bibliometric analysis of the top 100 cited articles on HIV/ AIDS. Ann Infect 2021;5:6. https://doi.org/10.21037/a

Musa IH, Afolabi LO, Zamit I, et al. Artificial intelligence and machine learning in cancer research: A systematic and thematic analysis of the top 100 cited articles indexed in Scopus database. J Moffitt Cancer Center 2022;29:1-20. https://doi.org/10.1177/10732748221095946.

Kawuki J, Musa TH, Papabathini SS, Ghimire U, Obore N, Yu X. The 100 top-cited studies on ebola: A bibliometric analysis. Electron J Gen Med 2021;18(2):em276. https://doi. org/10.29333/ejgm/9694

Musa TH, Akintunde TY, Gatasi G, Ghimire U, Kawuki J, Musa HH. A bibliometric analysis of the 100 top-cited articles on global malnutrition indexed in Web of Science. J Public Heal Emergency 2021;5:36. https://doi.org/10.21037/jp

Musa IH, Musa TH, Musa HH, Balila RMH, Ahmed ME. Bibliometric analysis of the top 50 most-cited articles of esophagus cancer.J Tumor 2021;9(1):572-578. https://doi. org/10.17554/j.issn.1819-6187.2021.09.126

Kawuki J, Yu X, Musa TH. Bibliometric analysis of ebola research indexed in Web of Science and Scopus (2010-2020). Biomed Res Int 2020:5476567. https://doi.org/10.1155/2020/5476567

Musa HH, El-Sharief M, Musa IH, Musa TH, Akintunde TY. Global scientific research output on sickle cell disease: A comprehensive bibliometric analysis of Web of Science Publication. Sci Afr 2021;12:e00774. https://doi.org/10.1016/j.sciaf.2021.e00774

Akintunde TY, Chen S, Musa TH, et al. Tracking the progress in COVID-19and vaccine safety research – a comprehensive bibliometric analysis of publications indexed in Scopus database. 2021;17(11):3887-3897. https://doi.org/10.1080/21645515.2021.1969851

Musa TH, Akintunde TY, Musa IH, Mohammed LA, Tassang AE, Musa HH. Rift Valley fever: Thematic analysis of documents indexed in the Web of Science Core Collection database. 2022;6(0):2616-2709. https://doi.org/10.21037/aoi-21-9

Helmy M, Akintunde TY, Musa TH. Global research evidence on COVID-19 and anxiety: A bibliometric analysis. AGJSR 2021;39(2):60-78. https://doi.org/10.51758/AGJSR-S2-2021-0022

Kawuki J, Musa TH, Ghimire U, Obore N, Papabathini SS. The 100 top-cited articles on childhood obesity: A bibliometric analysis. Glob Health Journal 2022;6(3):136-148. https://

doi.org/https://doi.org/10.1016/j.glohj.2022.07.003

Akintunde TY, Musa TH, Musa HH, et al. Bibliometric analysis of global scientific literature on effects of COVID-19 pandemic on mental health. Asian J Psychiatr 2021;63:102753. https://doi.org/10.1016/j.ajp.2021.102753

Sánchez AD, Del R’io M de la C, Garcia JÁ, et al. Bibliometric analysis of publications on wine tourism in the databases Scopus and WoS. Eur Res Manag Bus Econ 2017;23(1):8-15. https://doi.org/10.1016/j.iedeen.2016.02.001

Moodley J, Singh V, Kagina BM, Abdullahi L, Hussey GD. A bibliometric analysis of cancer research in South Africa: study protocol. BMJ Open 2015;5:e006913. http://dx.doi. org/10.1136/bmjopen-2014-006913

ZhaiX,CuiJ,ShaoJ,etal.Globalresearchtrendsinspinalultrasound:Asystematicbibliometric analysis. BMJ Open 2017;7:e015317. http://dx.doi.org/10.1136/bmjopen-2016-015317

Musa IH, Musa TH, Zamit I, Okeke M. Artificial intelligence and machine learning in oncology: Historical overview of documents indexed in the Web of Science database. Eurasian J Med Oncol 2021;5(3):239-248. https://doi:10.14744/ejmo.2021.24856

Musa HH, Musa TH, Musa IH, Musa IH. Global scientific research progress in mycetoma: a bibliometric analysis. Trans R Soc Trop Med Hyg 2021;115(1):1-13. https:// doi.org/10.1093/ trstmh/trab072

Akintunde TY, Musa TH, Musa HH, Ibrahim E, Muhideen S, Kawuki J. Mapping the global research output on Ebola vaccine from research indexed in Web of Science and Scopus: A comprehensive bibliometric analysis. Hum Vaccin Immunother 2021; 17(11):4246-4258. https://doi.org/10.1080/21645515.2021.1948785

Musa TH, Musa IH, Osman W, Campbell MC, Musa HH. A bibliometric analysis of global scientific research output on Gum Arabic. Bioact Carbohydrates Diet Fibre 2021;25:100254. https://doi.org/10.1016/j.bcdf.2020.100254

Musa TH, Ahmad T, Li W, et al. A bibliometric analysis of global scientific research on scrub typhus. Biomed Res Int 2020:5737893. https://doi.org/10.1155/2020/5737893

Dervis H. Bibliometric analysis using bibliometrix an R package. J Scientometr Res 2019; 8(3):156-160. https://doi.org/10.5530/jscires.8.3.32

Van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 2010;84(2):523-538. https://doi.org/10.1007/s11192-009-0146-3 36. Li M, Cai Q, Ma J, Zhang L, Henschke CI. The 100 most cited articles on lung cancer screening: A bibliometric analysis. Annals of translational medicine 2021;9(9):787. https://

doi.org/10.21037/atm-20-3199

Akintunde TY, Akintunde OD, Musa TH, et al. Expanding telemedicine to reduce the burden on the healthcare systems and poverty in Africa for a post-coronavirus disease 2019 (COVID-19) pandemic reformation. Glob Health Journal 2021;5(3):128-134. https:// doi.org/10.1016/J.GLOHJ.2021.07.006

Kawuki J, Ghimire U, Papabathini SS, Obore N, Musa TH. A bibliometric analysis of childhood obesity research from China indexed in Web of Science. J Public Health Emerg 2021;5:95. http://doi.org.10.21037/jphe-20-95

Cnattingius S. The epidemiology of smoking during pregnancy: Smoking prevalence, maternal characteristics, and pregnancy outcomes. Nicotine Tob Res 2004;6:S125-S140. https://doi.org/10.1080/14622200410001669187

Sharun K, Musa TH, Musa HH, et al. Mapping global trends in adipose-derived mesenchymal stem cell research: A bibliometric analysis using scopus database. Ann Med Surg 2022;77:103542.https://doi.org/10.1016/j.amsu.2022.103542.

Kawuki J, Ghimire U, Papabathini SS, Obore N, Musa TH. A bibliometric analysis of childhood obesity research from China indexed in Web of Science. J Pub Health Emerg 2021;5:6892. https://doi.org/10.21037/jphe-20-95

Musa TH, Akintunde TY, Musa HH, Ghimire U, Gatasi G. Malnutrition research output : A bibliometric analysis for articles indexed in Web of Science between 1900 and 2020. Electr J Gen Med 2021;18(3):em293. https://doi.org/10.29333/ejgm/10840

Meng-chen YIN, Hong-shen W, Xi Y, Chong-qing XU, Tao W. A bibliometric analysis and visualisation of current research trends in chinese medicine for osteosarcoma. Chinese J Integr Med 2022;28(5):445-452. https://doi.org/10.1007/s11655-020-3429-4

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