Maternal exposure to carbon monoxide and fine particulate matter during pregnancy in an urban Tanzanian cohort

Wylie, Blair J.; Kishashu, Yahya; Matechi, Emmanuel; Zhou, Zheng; Coull, Brent A.; Abioye, Ajibola Ibraheem; Dionisio, Kathie L.; Mugusi, Ferdinand; Premji, Zul; Fawzi, Wafaie W.; Hauser, Russ; Ezzati, Majid

doi:10.1111/ina.12289

Cited by 47 publications

(55 citation statements)

References 28 publications

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“…Indoor fine particulate matter (PM 2.5 ) levels generated by household characteristics, indoor activities, and outdoor sources have been reported to play a significant role in the indoor air quality . Exposure to elevated PM 2.5 levels has been shown to have a substantial role in respiratory and cardiovascular health, and pregnancy outcomes …”

Section: Introductionmentioning

confidence: 99%

“…1-3 Exposure to elevated PM 2.5 levels has been shown to have a substantial role in respiratory and cardiovascular health, and pregnancy outcomes. [4][5][6][7] The quantification of an individual's exposure to indoor air pollutants for epidemiological purposes is achieved using personal and static environmental monitoring, which are generally time-consuming, complex, and costly. 8,9 This is exacerbated in resource-constrained settings, where access to multiple samplers, laboratories, and skilled technical staff is not readily available.…”

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confidence: 99%

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Developing a predictive model for fine particulate matter concentrations in low socio-economic households in Durban, South Africa

et al. 2017

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In low-resource settings, there is a need to develop models that can address contributions of household and outdoor sources to population exposures. The aim of the study was to model indoor PM using household characteristics, activities, and outdoor sources. Households belonging to participants in the Mother and Child in the Environment (MACE) birth cohort, in Durban, South Africa, were randomly selected. A structured walk-through identified variables likely to generate PM . MiniVol samplers were used to monitor PM for a period of 24 hours, followed by a post-activity questionnaire. Factor analysis was used as a variable reduction tool. Levels of PM in the south were higher than in the north of the city (P < .05); crowding and dwelling type, household emissions (incense, candles, cooking), and household smoking practices were factors associated with an increase in PM levels (P < .05), while room magnitude and natural ventilation factors were associated with a decrease in the PM levels (P < .05). A reasonably robust PM predictive model was obtained with model R of 50%. Recognizing the challenges in characterizing exposure in environmental epidemiological studies, particularly in resource-constrained settings, modeling provides an opportunity to reasonably estimate indoor pollutant levels in unmeasured homes.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

Developing a predictive model for fine particulate matter concentrations in low socio-economic households in Durban, South Africa

et al. 2017

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“…In the rural area charcoal recorded the highest mean PM2.5 concentrations of 319.89 (SD±170.4)μg/m 3 followed by wood which had 314 (SD±182.5)μg/m 3 while electricity only recorded 182.5 (SD±150) μg/m 3 . In the urban area households using charcoal had 299.1 (SD+ 166.4) μg/m 3 , wood 249.82 (SD±170.5)μg/m 3 while electricity had 266.33 (SD±149.3)μg/m 3 . The highest VOCs concentrations level was 380ppb and measured in households using biomass fuels for cooking.…”

Section: Mean Differencementioning

confidence: 95%

“…Household air pollution (HAP) is currently the leading environmental risk factor for global burden of disease [1]. Evidence exists of an association between exposure to elevated indoor air pollution levels and adverse health outcomes [2,3]. Exposure to indoor air pollution has been shown to have a substantial role in respiratory diseases, cardiovascular ill health, cataract and adverse pregnancy outcomes [4,5,6,7].…”

Section: Introductionmentioning

confidence: 99%

Study of Indoor PM2.5 and Volatile Organic Compounds Concentration in Selected Rural and Urban Areas of Zambia

Mulenga¹,

Nyirenda²,

Mwila³

et al. 2018

JEPHH

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Background: High levels of household air pollution (HAP) occur in houses of many developing countries due to combustion of biomass fuels (wood, charcoal, cow dung, crop residues) in the households in open fires or inefficient stoves. Particulate Matter (PM2.5) and Volatile Organic Compounds (VOCs) are among the significant pollutants that are generated and can adversely affect the health of the exposed. Therefore, we monitored PM2.5 and VOC in selected rural and urban areas of the Copperbelt province of Zambia in order to measure the magnitude and correlates of HAP concentration levels. Methods: Indoor PM2.5 particles <2.5 µg in diameter (PM2.5) and VOCs were measured in 1,170 dwelling houses using Foobot (Model: FBT0002100 FCC ID: 2ADTK-FBT0002100, China). A standard questionnaire to capture the background and cooking characteristics such as kitchen type, fuel type and location of house in relation to ambient air pollution source was used. Data analysis using SPSS version 16 and EPIINFO were used at statistical significance level of 95% confidence interval. Results: Biomass fuel use in our study area was the dominant source of household energy for cooking. Mean indoor PM2.5 varied greatly between households depending on fuel and kitchen type while the variations in VOC were not that much. Concentration levels for PM2.5 varied between 79 µg/m 3 and 921 µg/m 3 , with an overall mean (SD) for daily average of 444.5 µg/m 3 (170.2) while for VOC concentration levels ranged from 245 ppb to 393 ppb with an overall mean (SD) for daily average of 342 ppb (25.3). The median (Q1, Q2) indoor PM2.5 during cooking time was 501(411,686) µg/m 3 and daily average 393(303,578) µg/m 3 while VOC daily average was 343(320, 363) ppb concentrations in the entire study population. Conclusion: Household air pollution mean concentrations in rural and urban settings of Ndola and Masaiti excessively exceed the WHO guidelines; hence continued efforts through research and advocacy are needed to mitigate the health damaging levels of household air pollution.

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“…For example, dust was noted as a trigger for allergic rhinitis (Adegbiji et al, 2018) and house dust/dust mite exposure was associated with asthma (Bardei et al, 2016;Flatin et al, 2018). Particulate matter was evaluated in 24 of the indoor air pollution research studies, most focusing on PM10 (Abou-Khadra, 2013;Ibhafidon et al, 2014;Makamure et al, 2016;Jafta et al, 2017;Nkhama et al, 2017;Nkosi et al, 2017;Mentz et al, 2018) and PM2.5 exposures (Oluwole et al, 2013;Chafe et al, 2014;Ibhafidon et al, 2014;Dutta et al, 2017;Lacey et al, 2017;Lin et al, 2017a;Malley et al, 2017;Nkhama et al, 2017;Wylie et al, 2017a;Wylie et al, 2017b;Mentz et al, 2018). Some studies also measured NO, NO2, SO2, CO, and O3 (Jafta et al, 2017;Wylie et al, 2017a).…”

Section: Exposures Measuredmentioning

confidence: 99%

Environmental Health Research in Africa: Important Progress and Promising Opportunities

Joubert

Mantooth²,

McAllister

2020

Front. Genet.

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The World Health Organization in 2016 estimated that over 20% of the global disease burden and deaths were attributed to modifiable environmental factors. However, data clearly characterizing the impact of environmental exposures and health endpoints in African populations is limited. To describe recent progress and identify important research gaps, we reviewed literature on environmental health research in African populations over the last decade, as well as research incorporating both genomic and environmental factors. We queried PubMed for peer-reviewed research articles, reviews, or books examining environmental exposures and health outcomes in human populations in Africa. Searches utilized medical subheading (MeSH) terms for environmental exposure categories listed in the March 2018 US National Report on Human Exposure to Environmental Chemicals, which includes chemicals with worldwide distributions. Our search strategy retrieved 540 relevant publications, with studies evaluating health impacts of ambient air pollution (n=105), indoor air pollution (n = 166), heavy metals (n = 130), pesticides (n = 95), dietary mold (n = 61), indoor mold (n = 9), per-and polyfluoroalkyl substances (PFASs, n = 0), electronic waste (n = 9), environmental phenols (n = 4), flame retardants (n = 8), and phthalates (n = 3), where publications could belong to more than one exposure category. Only 23 publications characterized both environmental and genomic risk factors. Cardiovascular and respiratory health endpoints impacted by air pollution were comparable to observations in other countries. Air pollution exposures unique to Africa and some other resource limited settings were dust and specific occupational exposures. Literature describing harmful health effects of metals, pesticides, and dietary mold represented a context unique to Africa. Studies of exposures to phthalates, PFASs, phenols, and flame retardants were very limited. These results underscore the need for further focus on current and emerging environmental and chemical health risks as well as better integration of genomic and environmental factors in African research studies. Environmental exposures with distinct routes of exposure, unique co-exposures and co-morbidities, combined with the extensive genomic diversity in Africa may lead to the identification of novel mechanisms underlying complex disease and promising potential for translation to global public health.

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Maternal exposure to carbon monoxide and fine particulate matter during pregnancy in an urban Tanzanian cohort

Cited by 47 publications

References 28 publications

Developing a predictive model for fine particulate matter concentrations in low socio-economic households in Durban, South Africa

Developing a predictive model for fine particulate matter concentrations in low socio-economic households in Durban, South Africa

Study of Indoor PM2.5 and Volatile Organic Compounds Concentration in Selected Rural and Urban Areas of Zambia

Environmental Health Research in Africa: Important Progress and Promising Opportunities

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