Cargando…

Indoor air pollution concentrations and cardiometabolic health across four diverse settings in Peru: a cross-sectional study

BACKGROUND: Indoor air pollution is an important risk factor for health in low- and middle-income countries. METHODS: We measured indoor fine particulate matter (PM(2.5)) and carbon monoxide (CO) concentrations in 617 houses across four settings with varying urbanisation, altitude, and biomass cooks...

Descripción completa

Detalles Bibliográficos
Autores principales: Kephart, Josiah L., Fandiño-Del-Rio, Magdalena, Koehler, Kirsten, Bernabe-Ortiz, Antonio, Miranda, J. Jaime, Gilman, Robert H., Checkley, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268316/
https://www.ncbi.nlm.nih.gov/pubmed/32493322
http://dx.doi.org/10.1186/s12940-020-00612-y
_version_ 1783541590719987712
author Kephart, Josiah L.
Fandiño-Del-Rio, Magdalena
Koehler, Kirsten
Bernabe-Ortiz, Antonio
Miranda, J. Jaime
Gilman, Robert H.
Checkley, William
author_facet Kephart, Josiah L.
Fandiño-Del-Rio, Magdalena
Koehler, Kirsten
Bernabe-Ortiz, Antonio
Miranda, J. Jaime
Gilman, Robert H.
Checkley, William
author_sort Kephart, Josiah L.
collection PubMed
description BACKGROUND: Indoor air pollution is an important risk factor for health in low- and middle-income countries. METHODS: We measured indoor fine particulate matter (PM(2.5)) and carbon monoxide (CO) concentrations in 617 houses across four settings with varying urbanisation, altitude, and biomass cookstove use in Peru, between 2010 and 2016. We assessed the associations between indoor pollutant concentrations and blood pressure (BP), exhaled carbon monoxide (eCO), C-reactive protein (CRP), and haemoglobin A1c (HbA1c) using multivariable linear regression among all participants and stratifying by use of biomass cookstoves. RESULTS: We found high concentrations of indoor PM(2.5) across all four settings (geometric mean ± geometric standard deviation of PM(2.5) daily average in μg/m(3)): Lima 41.1 ± 1.3, Tumbes 35.8 ± 1.4, urban Puno 14.1 ± 1.7, and rural Puno 58.8 ± 3.1. High indoor CO concentrations were common in rural households (geometric mean ± geometric standard deviation of CO daily average in ppm): rural Puno 4.9 ± 4.3. Higher indoor PM(2.5) was associated with having a higher systolic BP (1.51 mmHg per interquartile range (IQR) increase, 95% CI 0.16 to 2.86), a higher diastolic BP (1.39 mmHg higher DBP per IQR increase, 95% CI 0.52 to 2.25), and a higher eCO (2.05 ppm higher per IQR increase, 95% CI 0.52 to 3.57). When stratifying by biomass cookstove use, our results were consistent with effect measure modification in the association between PM(2.5) and eCO: among biomass users eCO was 0.20 ppm higher per IQR increase in PM(2.5) (95% CI − 2.05 to 2.46), and among non-biomass users eCO was 5.00 ppm higher per IQR increase in PM(2.5) (95% CI 1.58 to 8.41). We did not find associations between indoor air concentrations and CRP or HbA1c outcomes. CONCLUSIONS: Excessive indoor concentrations of PM(2.5) are widespread in homes across varying levels of urbanisation, altitude, and biomass cookstove use in Peru and are associated with worse BP and higher eCO.
format Online
Article
Text
id pubmed-7268316
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-72683162020-06-07 Indoor air pollution concentrations and cardiometabolic health across four diverse settings in Peru: a cross-sectional study Kephart, Josiah L. Fandiño-Del-Rio, Magdalena Koehler, Kirsten Bernabe-Ortiz, Antonio Miranda, J. Jaime Gilman, Robert H. Checkley, William Environ Health Research BACKGROUND: Indoor air pollution is an important risk factor for health in low- and middle-income countries. METHODS: We measured indoor fine particulate matter (PM(2.5)) and carbon monoxide (CO) concentrations in 617 houses across four settings with varying urbanisation, altitude, and biomass cookstove use in Peru, between 2010 and 2016. We assessed the associations between indoor pollutant concentrations and blood pressure (BP), exhaled carbon monoxide (eCO), C-reactive protein (CRP), and haemoglobin A1c (HbA1c) using multivariable linear regression among all participants and stratifying by use of biomass cookstoves. RESULTS: We found high concentrations of indoor PM(2.5) across all four settings (geometric mean ± geometric standard deviation of PM(2.5) daily average in μg/m(3)): Lima 41.1 ± 1.3, Tumbes 35.8 ± 1.4, urban Puno 14.1 ± 1.7, and rural Puno 58.8 ± 3.1. High indoor CO concentrations were common in rural households (geometric mean ± geometric standard deviation of CO daily average in ppm): rural Puno 4.9 ± 4.3. Higher indoor PM(2.5) was associated with having a higher systolic BP (1.51 mmHg per interquartile range (IQR) increase, 95% CI 0.16 to 2.86), a higher diastolic BP (1.39 mmHg higher DBP per IQR increase, 95% CI 0.52 to 2.25), and a higher eCO (2.05 ppm higher per IQR increase, 95% CI 0.52 to 3.57). When stratifying by biomass cookstove use, our results were consistent with effect measure modification in the association between PM(2.5) and eCO: among biomass users eCO was 0.20 ppm higher per IQR increase in PM(2.5) (95% CI − 2.05 to 2.46), and among non-biomass users eCO was 5.00 ppm higher per IQR increase in PM(2.5) (95% CI 1.58 to 8.41). We did not find associations between indoor air concentrations and CRP or HbA1c outcomes. CONCLUSIONS: Excessive indoor concentrations of PM(2.5) are widespread in homes across varying levels of urbanisation, altitude, and biomass cookstove use in Peru and are associated with worse BP and higher eCO. BioMed Central 2020-06-03 /pmc/articles/PMC7268316/ /pubmed/32493322 http://dx.doi.org/10.1186/s12940-020-00612-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kephart, Josiah L.
Fandiño-Del-Rio, Magdalena
Koehler, Kirsten
Bernabe-Ortiz, Antonio
Miranda, J. Jaime
Gilman, Robert H.
Checkley, William
Indoor air pollution concentrations and cardiometabolic health across four diverse settings in Peru: a cross-sectional study
title Indoor air pollution concentrations and cardiometabolic health across four diverse settings in Peru: a cross-sectional study
title_full Indoor air pollution concentrations and cardiometabolic health across four diverse settings in Peru: a cross-sectional study
title_fullStr Indoor air pollution concentrations and cardiometabolic health across four diverse settings in Peru: a cross-sectional study
title_full_unstemmed Indoor air pollution concentrations and cardiometabolic health across four diverse settings in Peru: a cross-sectional study
title_short Indoor air pollution concentrations and cardiometabolic health across four diverse settings in Peru: a cross-sectional study
title_sort indoor air pollution concentrations and cardiometabolic health across four diverse settings in peru: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268316/
https://www.ncbi.nlm.nih.gov/pubmed/32493322
http://dx.doi.org/10.1186/s12940-020-00612-y
work_keys_str_mv AT kephartjosiahl indoorairpollutionconcentrationsandcardiometabolichealthacrossfourdiversesettingsinperuacrosssectionalstudy
AT fandinodelriomagdalena indoorairpollutionconcentrationsandcardiometabolichealthacrossfourdiversesettingsinperuacrosssectionalstudy
AT koehlerkirsten indoorairpollutionconcentrationsandcardiometabolichealthacrossfourdiversesettingsinperuacrosssectionalstudy
AT bernabeortizantonio indoorairpollutionconcentrationsandcardiometabolichealthacrossfourdiversesettingsinperuacrosssectionalstudy
AT mirandajjaime indoorairpollutionconcentrationsandcardiometabolichealthacrossfourdiversesettingsinperuacrosssectionalstudy
AT gilmanroberth indoorairpollutionconcentrationsandcardiometabolichealthacrossfourdiversesettingsinperuacrosssectionalstudy
AT checkleywilliam indoorairpollutionconcentrationsandcardiometabolichealthacrossfourdiversesettingsinperuacrosssectionalstudy