Adolphe Ndikubwimana, William Checkley, Yunyun Chen, Thomas Clasen, Carmen Lucía Contreras, Anaite Diaz-Artiga, Ephrem Dusabimana, Lisa de Las Fuentes, Shirin Jabbarzadeh, Michael Johnson, Egide Kalisa, Patrick Karakwende, Miles Kirby, Amy E Lovvorn, John P McCracken, Florien Ndagijimana, Theoneste Ntakirutimana, Jean Dieu Ntivuguruzwa, Jennifer L Peel, Ajay Pillarisetti, Victor G Dávila-Román, Ghislaine Rosa, Sarada S Garg, Lisa Thompson, Lance A Waller, Jiantong Wang, Maggie L Clark, Bonnie N Young
{"title":"危地马拉、印度、秘鲁和卢旺达农村地区妇女身体质量指数与家庭空气污染的暴露-反应关系:家庭空气污染干预网络试验","authors":"Adolphe Ndikubwimana, William Checkley, Yunyun Chen, Thomas Clasen, Carmen Lucía Contreras, Anaite Diaz-Artiga, Ephrem Dusabimana, Lisa de Las Fuentes, Shirin Jabbarzadeh, Michael Johnson, Egide Kalisa, Patrick Karakwende, Miles Kirby, Amy E Lovvorn, John P McCracken, Florien Ndagijimana, Theoneste Ntakirutimana, Jean Dieu Ntivuguruzwa, Jennifer L Peel, Ajay Pillarisetti, Victor G Dávila-Román, Ghislaine Rosa, Sarada S Garg, Lisa Thompson, Lance A Waller, Jiantong Wang, Maggie L Clark, Bonnie N Young","doi":"10.1186/s12889-025-23380-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Household air pollution from burning biomass materials, the main cooking fuel in low- and middle-income countries, may be linked to metabolic dysfunction. We assessed cross-sectional associations between household air pollution and body mass index (BMI), expecting to see increased BMI with higher pollution concentrations.</p><p><strong>Methods: </strong>We analyzed data from 414 women aged 40 to 79 years who resided in the households using biomass fuel and were enrolled in the multi-country Household Air Pollution Intervention Network (HAPIN) Trial. We explored associations of 24-h average personal exposure to fine particulate matter (PM<sub>2.5</sub>), black carbon (BC), and carbon monoxide (CO) with BMI through single pollutant linear and logistic models adjusted for potential confounders (i.e., age, socioeconomic indicators, education, dietary diversity, secondhand smoke exposure, alcohol and grain consumption).Sensitivity analyses explored air pollutants as quartiles, and other variables as potential confounders, such as physical activity, enrollment site, and dietary items. We examined effect modification of research site on the associations.</p><p><strong>Results: </strong>We observed mixed evidence of associations between household air pollution and BMI in linear regression. There was no association with BMI and PM₂.₅ (1-unit increase in log-transformed PM₂.₅ estimate 0.02 kg/m<sup>2</sup> [95% CI: -0.51, 0.54]) or CO (1-unit increase in log-transformed CO estimate 0.42 kg/m<sup>2</sup> [95% CI -0.31, 1.14]). However, a 1-unit increase in log-transformed BC showed an association in the opposite direction as hypothesized (BC estimate -0.59 kg/m<sup>2</sup> [95% CI -1.17, -0.003]). Using logistic regression models, we found that only CO significantly increased the odds of overweight/obesity: a 1-unit increase in log-transformed CO led to an odds ratio of 1.66 (95% CI: 1.10, 2.51). Effect modification showed inverse association between BC exposure and BMI in Peru.</p><p><strong>Conclusions: </strong>Evidence suggests a significant association between CO exposure and increased odds of being overweight/obese, whereas impacts of PM<sub>2.5</sub> and BC on BMI had null or inverse effects.</p>","PeriodicalId":9039,"journal":{"name":"BMC Public Health","volume":"25 1","pages":"2163"},"PeriodicalIF":3.6000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12150507/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exposure-response relationship of household air pollution on body mass index among women in rural areas of Guatemala, India, Peru and Rwanda: household air pollution intervention network trial.\",\"authors\":\"Adolphe Ndikubwimana, William Checkley, Yunyun Chen, Thomas Clasen, Carmen Lucía Contreras, Anaite Diaz-Artiga, Ephrem Dusabimana, Lisa de Las Fuentes, Shirin Jabbarzadeh, Michael Johnson, Egide Kalisa, Patrick Karakwende, Miles Kirby, Amy E Lovvorn, John P McCracken, Florien Ndagijimana, Theoneste Ntakirutimana, Jean Dieu Ntivuguruzwa, Jennifer L Peel, Ajay Pillarisetti, Victor G Dávila-Román, Ghislaine Rosa, Sarada S Garg, Lisa Thompson, Lance A Waller, Jiantong Wang, Maggie L Clark, Bonnie N Young\",\"doi\":\"10.1186/s12889-025-23380-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Household air pollution from burning biomass materials, the main cooking fuel in low- and middle-income countries, may be linked to metabolic dysfunction. We assessed cross-sectional associations between household air pollution and body mass index (BMI), expecting to see increased BMI with higher pollution concentrations.</p><p><strong>Methods: </strong>We analyzed data from 414 women aged 40 to 79 years who resided in the households using biomass fuel and were enrolled in the multi-country Household Air Pollution Intervention Network (HAPIN) Trial. We explored associations of 24-h average personal exposure to fine particulate matter (PM<sub>2.5</sub>), black carbon (BC), and carbon monoxide (CO) with BMI through single pollutant linear and logistic models adjusted for potential confounders (i.e., age, socioeconomic indicators, education, dietary diversity, secondhand smoke exposure, alcohol and grain consumption).Sensitivity analyses explored air pollutants as quartiles, and other variables as potential confounders, such as physical activity, enrollment site, and dietary items. We examined effect modification of research site on the associations.</p><p><strong>Results: </strong>We observed mixed evidence of associations between household air pollution and BMI in linear regression. There was no association with BMI and PM₂.₅ (1-unit increase in log-transformed PM₂.₅ estimate 0.02 kg/m<sup>2</sup> [95% CI: -0.51, 0.54]) or CO (1-unit increase in log-transformed CO estimate 0.42 kg/m<sup>2</sup> [95% CI -0.31, 1.14]). However, a 1-unit increase in log-transformed BC showed an association in the opposite direction as hypothesized (BC estimate -0.59 kg/m<sup>2</sup> [95% CI -1.17, -0.003]). Using logistic regression models, we found that only CO significantly increased the odds of overweight/obesity: a 1-unit increase in log-transformed CO led to an odds ratio of 1.66 (95% CI: 1.10, 2.51). Effect modification showed inverse association between BC exposure and BMI in Peru.</p><p><strong>Conclusions: </strong>Evidence suggests a significant association between CO exposure and increased odds of being overweight/obese, whereas impacts of PM<sub>2.5</sub> and BC on BMI had null or inverse effects.</p>\",\"PeriodicalId\":9039,\"journal\":{\"name\":\"BMC Public Health\",\"volume\":\"25 1\",\"pages\":\"2163\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12150507/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12889-025-23380-1\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12889-025-23380-1","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Exposure-response relationship of household air pollution on body mass index among women in rural areas of Guatemala, India, Peru and Rwanda: household air pollution intervention network trial.
Background: Household air pollution from burning biomass materials, the main cooking fuel in low- and middle-income countries, may be linked to metabolic dysfunction. We assessed cross-sectional associations between household air pollution and body mass index (BMI), expecting to see increased BMI with higher pollution concentrations.
Methods: We analyzed data from 414 women aged 40 to 79 years who resided in the households using biomass fuel and were enrolled in the multi-country Household Air Pollution Intervention Network (HAPIN) Trial. We explored associations of 24-h average personal exposure to fine particulate matter (PM2.5), black carbon (BC), and carbon monoxide (CO) with BMI through single pollutant linear and logistic models adjusted for potential confounders (i.e., age, socioeconomic indicators, education, dietary diversity, secondhand smoke exposure, alcohol and grain consumption).Sensitivity analyses explored air pollutants as quartiles, and other variables as potential confounders, such as physical activity, enrollment site, and dietary items. We examined effect modification of research site on the associations.
Results: We observed mixed evidence of associations between household air pollution and BMI in linear regression. There was no association with BMI and PM₂.₅ (1-unit increase in log-transformed PM₂.₅ estimate 0.02 kg/m2 [95% CI: -0.51, 0.54]) or CO (1-unit increase in log-transformed CO estimate 0.42 kg/m2 [95% CI -0.31, 1.14]). However, a 1-unit increase in log-transformed BC showed an association in the opposite direction as hypothesized (BC estimate -0.59 kg/m2 [95% CI -1.17, -0.003]). Using logistic regression models, we found that only CO significantly increased the odds of overweight/obesity: a 1-unit increase in log-transformed CO led to an odds ratio of 1.66 (95% CI: 1.10, 2.51). Effect modification showed inverse association between BC exposure and BMI in Peru.
Conclusions: Evidence suggests a significant association between CO exposure and increased odds of being overweight/obese, whereas impacts of PM2.5 and BC on BMI had null or inverse effects.
期刊介绍:
BMC Public Health is an open access, peer-reviewed journal that considers articles on the epidemiology of disease and the understanding of all aspects of public health. The journal has a special focus on the social determinants of health, the environmental, behavioral, and occupational correlates of health and disease, and the impact of health policies, practices and interventions on the community.