Gender differences in associations of household and ambient air pollution with child health: Evidence from household and satellite-based data in Bangladesh

Kurata, Masamitsu; Takahashi, Katsumi; Hibiki, Akira

doi:10.1016/j.worlddev.2019.104779

Cited by 56 publications

(38 citation statements)

References 39 publications

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“…The stunting prevalence in households with the best scenario of CCF, CISK, and no ETS can be attributed to exposure to indoor air pollution, 31,45,46 tobacco smoking, 58,59 and hygiene and sanitation practices 82 . Beyond using CCF, following better cooking practices, and having no ETS, there are several socioeconomic and demographic factors that are responsible for poor childhood growth.…”

Section: Discussionmentioning

confidence: 99%

“…Fine particulate matter (PM 2.5 ) and gaseous pollutants, which enter the lungs and the body system through breathing, impact the health of the children and, in turn, lead to morbidity among them. The pathways through the pollutants affecting stunting can be found elsewhere 31‐35 . A broad understanding of how cooking fuels impact child growth can be found in the conceptual framework in Bhagowalia & Gupta (2011) 36 .…”

Section: Introductionmentioning

confidence: 99%

“…The use of UCF for cooking is positively related to child mortality, respiratory disease, anemia, low birthweight, and malnutrition 37‐43 . Many studies have established the association between UCF and the prevalence of stunting 28,31‐35,37,44 . A few studies have also focused on ambient air pollution (PM 2.5 )—using measurement data and its impact on childhood stunting 45‐47 …”

Section: Introductionmentioning

confidence: 99%

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Cooking, smoking, and stunting: Effects of household air pollution sources on childhood growth in India

2020

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This paper investigates the effects of household air pollution (HAP) on child stunting in India using a sample of 206, 898 under‐five children from the latest National Family Health Survey (2015‐16). Descriptive statistics and multivariate analysis were used to understand the association of stunting by type of cooking fuel, separate kitchen, and indoor smoking in the household. Using clean cooking fuels (CCFs), having a separate kitchen, and being unexposed to smoking can reduce the prevalence of stunting by 4%, 1%, and 1%, respectively, from the current prevalence of stunting (38%). The probability of childhood stunting among children living in households using unclean cooking fuel (UCF) was significantly higher (OR‐1.16; 95% CI: 1.13‐1.19) than those living in households using CCF. Findings were similar results in the absence of separate kitchen (OR‐1.08; 95% CI: 1.05‐1.10) and exposure to environmental tobacco smoke (OR‐1.06; 95% CI: 1.04‐1.08). Households using UCF had a 16% higher likelihood of stunting, while there was a strong gradient of HAP with stunting after controlling socioeconomic and demographic factors. Therefore, the LPG programs, such as the Pradhan Mantri Ujjwala Yojana, may be crucial to reduce HAP and its adverse impact on stunting, and successively to achieve sustainable development goals.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cooking, smoking, and stunting: Effects of household air pollution sources on childhood growth in India

2020

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“…Kurata et al (2020) simultaneously consider both ambient and indoor air pollution to investigate their effects on child health outcomes in Bangladesh.…”

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confidence: 99%

The Causal Effects of Long-Term PM2.5 Exposure on COVID-19 in India

Yamada¹,

Yamada²,

Mani³

2021

Policy Research Working Papers

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The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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“…Though spatial accessibility is a core factor influencing spatial health equity, the density and distribution of HCMCs are considered as effective criteria for spatial health equity assessment (Mansour, 2016;Ni et al, 2016;Ramzia and El-Bedawi, 2019). Air pollution is also considered an important factor in health equity of citizens and has a significant role in spatial health equity (Pierangeli et al, 2020;Kurata et al, 2020). A review of the relevant literature revealed that the availability, density and distribution of HCMCs and air pollution from one area have not yet been studied in combination.…”

Section: Introductionmentioning

confidence: 99%

Developing an Approach for Generating a Spatial Urban Health Equity Map and Validating via Volunteered Geographic Information

samani

Karimi

Alesheikh

et al. 2020

Preprint

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Spatial urban health equity assessment is of vital importance, relating closely to quality of life standards and level of urban development. Generally, spatial health equity can be assessed according to spatial accessibility to health care and medical centers (HCMCs), green spaces, public transportation stations and main roads. The density and distribution of HCMCs are also important factors in spatial health equity assessment and air pollution level can also affect the health of citizens. This paper aims to model the spatial urban health equity map by aggregating all these criteria using reference data. Then, it compares the health equity map generated from reference data to one generated by volunteered geographic information (VGI) by citizens. The main contributions of this paper include i) aggregating spatial accessibility criteria, density and distribution of HCMCs and air pollution levels, based on the Mamdani fuzzy inference system (FIS), ii) comparing the spatial equity map with a health equity map achieved using VGI. Health equity status of citizens was categorized into five levels from ‘very appropriate’ to ‘very inappropriate’ and collected by citizens using a VGI website. The proposed method was implemented in District 6 of Tehran, Iran. Our findings showed for the resulting map with the reference data that almost 62% of the study area, was reported as ‘appropriate or ‘very appropriate’, 20% as ‘good’ and about 18% as ‘inappropriate’ or ‘very inappropriate’. The collected VGI from citizens achieved results with 72% compatibility. Furthermore, according to the precision, recall and F-score measures, most accuracy was attributed to the ‘appropriate’ level of spatial health equity and the least accuracy to the ‘very inappropriate’ level.

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Gender differences in associations of household and ambient air pollution with child health: Evidence from household and satellite-based data in Bangladesh

Cited by 56 publications

References 39 publications

Cooking, smoking, and stunting: Effects of household air pollution sources on childhood growth in India

Cooking, smoking, and stunting: Effects of household air pollution sources on childhood growth in India

The Causal Effects of Long-Term PM2.5 Exposure on COVID-19 in India

Developing an Approach for Generating a Spatial Urban Health Equity Map and Validating via Volunteered Geographic Information

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