Cladoceran community composition and diversity patterns from different lentic freshwater bodies in peninsular India

被引:5
|
作者
Wright, Caradee Y. [1 ,2 ]
Kapwata, Thandi [1 ,3 ]
Wernecke, Bianca [1 ,3 ]
Malherbe, Helen [4 ]
Butow, Kurt-W [5 ,6 ]
Naidoo, Natasha [1 ]
Garland, Rebecca M. [2 ]
de Lange, Anzel
Murray, Gareth E. [1 ]
机构
[1] South African Med Res Council, Environm & Hlth Res Unit, Pretoria, South Africa
[2] Univ Pretoria, Dept Geog Geoinformat & Meteorol, Pretoria, South Africa
[3] Univ Johannesburg, Fac Hlth Sci, Dept Environm Hlth, Johannesburg, South Africa
[4] Stn Bryanston, Rare Dis South Africa, 63 Peter Pl, Sandton, South Africa
[5] Univ Pretoria, Dept Maxillofacial & Oral Surg, Pretoria, South Africa
[6] Life Wilgers Hosp, Pretoria, South Africa
[7] OPERAT SMILE, Bldg 17,103-104 Waverley Business Pk,5 Wyecraft R, Cape Town, South Africa
来源
ANNALS OF GLOBAL HEALTH | 2023年 / 89卷 / 01期
关键词
air pollution; congenital disorder; birth defect; orofacial cleft lip; palate; craniofacial anomalies; environmental health; particulate matter; NONSYNDROMIC CLEFT-LIP; ENVIRONMENTAL RISK-FACTORS; AIR-POLLUTION; BIRTH-DEFECTS; AND/OR PALATE; MATERNAL EXPOSURE; OROFACIAL CLEFTS; POPULATION; PREVALENCE; PREGNANCY;
D O I
10.5334/aogh.4007
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Despite being underreported, orofacial cleft lip/palate (CLP) remains in the top five of South Africa's most common congenital disorders. Maternal air pollution exposure has been associated with CLP in neonates. South Africa has high air pollution levels due to domestic burning practices, coal-fired power plants, mining, industry, and traffic pollution, among other sources. We investigated air pollutant levels in geographic locations of CLP cases. Methods: In a retrospective case series study (2006-2020) from a combined dataset by a Gauteng surgeon and South African Operation Smile, the maternal address at pregnancy was obtained for 2,515 CLP cases. Data from the South African Air Quality Information System was used to calculate annual averages of particulate matter (PM) concentrations of particles < 10 mu m (PM10) and < 2.5 mu m (PM2.5). Correlation analysis determined the relationship between average PM2.5/PM10 concentrations and CLP birth prevalence. Hotspot analysis was done using the Average Nearest Neighbor tool in ArcGIS. Results: Correlation analysis showed an increasing trend of CLP birth prevalence to PM10 (CC = 0.61, 95% CI = 0.38-0.77, p < 0.001) and PM2.5 (CC = 0.63, 95% CI = 0.42-0.77, p < 0.001). Hot spot analysis revealed that areas with higher concentrations of PM10and PM2.5 had a higher proclivity for maternal residence (z-score = -68.2, p < 0.001). CLP birth prevalence hotspot clusters were identified in district municipalities in the provinces of Gauteng, Limpopo, North-West, Mpumalanga, and Free State. KwaZulu-Natal and Eastern Cape had lower PM10 and PM2.5 concentrations and were cold spot clusters.Conclusions: Maternal exposure to air pollution is known to impact the fetal environment and increase CLP risk. We discovered enough evidence of an effect to warrant further investigation. We advocate for a concerted effort by the government, physicians, researchers, non-government organizations working with CLP patients, and others to collect quality data on all maternal information and pollutant levels in all provinces of South Africa. Collaboration and data sharing for additional research will help us better understand the impact of air pollution on CLP in South Africa.
引用
收藏
页码:1 / 13
页数:13
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