Environmental EpidemiologyPub Date : 2024-09-26eCollection Date: 2024-10-01DOI: 10.1097/EE9.0000000000000343
Taylor-Marie Vasil, Elvira S Fleury, Erica D Walker, Jordan R Kuiper, Jessie P Buckley, Kim M Cecil, Aimin Chen, Heidi J Kalkwarf, Bruce P Lanphear, Kimberly Yolton, Joseph M Braun
{"title":"Associations of pre- and postnatal per- and polyfluoroalkyl substance exposure with adolescents' eating behaviors.","authors":"Taylor-Marie Vasil, Elvira S Fleury, Erica D Walker, Jordan R Kuiper, Jessie P Buckley, Kim M Cecil, Aimin Chen, Heidi J Kalkwarf, Bruce P Lanphear, Kimberly Yolton, Joseph M Braun","doi":"10.1097/EE9.0000000000000343","DOIUrl":"10.1097/EE9.0000000000000343","url":null,"abstract":"<p><strong>Background: </strong>Per- and polyfluoroalkyl substances (PFAS), persistent environmental chemicals, may act as obesogens by interacting with neuroendocrine pathways regulating energy homeostasis and satiety signals influencing adolescent eating behaviors.</p><p><strong>Methods: </strong>In 211 HOME Study adolescents (Cincinnati, OH; recruited 2003-2006), we measured PFAS concentrations in serum collected during pregnancy, at delivery, and at ages 3, 8, and 12 years. Caregivers completed the Child Eating Behavior Questionnaire (CEBQ) at age 12, and we calculated food approach and food avoidance scores. Using quantile-based g-computation, we estimated covariate-adjusted associations between a mixture of four gestational PFAS and CEBQ scores. We identified high (n = 76, 36%) and low (n = 135, 64%) longitudinal PFAS mixture exposure profiles between delivery and age 12 years using latent profile analysis and related these to CEBQ scores. We examined whether child sex or physical activity modified these associations.</p><p><strong>Results: </strong>We observed no association of gestational PFAS mixture with food approach or food avoidance scores. Children in the higher longitudinal PFAS mixture profile had slightly higher food approach scores (<i>β</i>: 0.47, 95% CI: -0.27, 1.23) and similar food avoidance scores (<i>β</i>: -0.15, 95% CI: -0.75, 0.46) compared with children in the lower profile. We found some evidence that higher physical activity favorably modified the association between longitudinal PFAS mixture profiles and emotional overeating (interaction <i>P</i> value = 0.13). Child sex did not consistently modify any associations.</p><p><strong>Conclusions: </strong>Serum PFAS concentrations were not consistently linked to adolescent eating behaviors in this study, suggesting alternative pathways, such as metabolic rate, may underlie previously observed associations between PFAS exposure and childhood obesity.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 5","pages":"e343"},"PeriodicalIF":3.3,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11567689/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142647032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Environmental EpidemiologyPub Date : 2024-09-24eCollection Date: 2024-10-01DOI: 10.1097/EE9.0000000000000341
Xuerui Bai, Hongying Qu, Zebing Ye, Ruoting Wang, Guanhao He, Zhongguo Huang, Zhiying Jiang, Changfa Zhang, Shuai Li, Guowei Li
{"title":"Relationship between short-term exposure to sulfur dioxide and emergency ambulance dispatches due to cardiovascular disease.","authors":"Xuerui Bai, Hongying Qu, Zebing Ye, Ruoting Wang, Guanhao He, Zhongguo Huang, Zhiying Jiang, Changfa Zhang, Shuai Li, Guowei Li","doi":"10.1097/EE9.0000000000000341","DOIUrl":"https://doi.org/10.1097/EE9.0000000000000341","url":null,"abstract":"<p><strong>Background: </strong>The relationship between sulfur dioxide (SO<sub>2</sub>) and cardiovascular disease (CVD) remains inconclusive. We aimed to clarify the association between short-term exposure to SO<sub>2</sub> and emergency ambulance dispatches (EADs) due to CVD.</p><p><strong>Methods: </strong>We collected daily data on the number of EADs due to CVD, air pollutants, and meteorological factors between October 2013 and June 2018 in Guangzhou, China. We used the quasi-Poisson generalized additive model combined with a distributed lag nonlinear model to estimate the short-term effect of SO<sub>2</sub> on EADs due to CVD in multivariable models. Subgroup and sensitivity analyses were also performed.</p><p><strong>Results: </strong>A total of 37,889 EADs due to CVD were documented during the study period. The average daily SO<sub>2</sub> concentration was 12.5 μg/m<sup>3</sup>. A significant relationship between SO<sub>2</sub> and EADs due to CVD was found, with a relative risk of 1.04 (95% confidence interval: 1.02, 1.06) with each 10 μg/m<sup>3</sup> increment of SO<sub>2</sub> at lag 0-1<sub>.</sub> The relationship was stronger in males, for participants aged ≥65 years, and in the cold season; however, no significant modification by subgroup was found in the association between SO<sub>2</sub> and EADs due to CVD. Similar results from sensitivity analyses to the main findings were observed.</p><p><strong>Conclusions: </strong>Short-term exposure to SO<sub>2</sub> was significantly associated with increased EADs due to CVD.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 5","pages":"e341"},"PeriodicalIF":3.3,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11424135/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Environmental EpidemiologyPub Date : 2024-09-24eCollection Date: 2024-10-01DOI: 10.1097/EE9.0000000000000336
Noah Scovronick, Francesco Sera, Bryan Vu, Ana M Vicedo-Cabrera, Dominic Roye, Aurelio Tobias, Xerxes Seposo, Bertil Forsberg, Yuming Guo, Shanshan Li, Yasushi Honda, Rosana Abrutzky, Micheline de Sousa Zanotti Stagliorio Coelho, Paulo H Nascimento Saldiva, Eric Lavigne, Haidong Kan, Samuel Osorio, Jan Kyselý, Aleš Urban, Hans Orru, Ene Indermitte, Jouni J Jaakkola, Niilo Ryti, Mathilde Pascal, Klea Katsouyanni, Fatemeh Mayvaneh, Alireza Entezari, Patrick Goodman, Ariana Zeka, Paola Michelozzi, Francesca de'Donato, Masahiro Hashizume, Barak Alahmad, Antonella Zanobetti, Joel Schwartz, Miguel Hurtado Diaz, C De La Cruz Valencia, Shilpa Rao, Joana Madureira, Fiorella Acquaotta, Ho Kim, Whanhee Lee, Carmen Iniguez, Martina S Ragettli, Yue L Guo, Tran Ngoc Dang, Do V Dung, Benedict Armstrong, Antonio Gasparrini
{"title":"Temperature-mortality associations by age and cause: a multi-country multi-city study.","authors":"Noah Scovronick, Francesco Sera, Bryan Vu, Ana M Vicedo-Cabrera, Dominic Roye, Aurelio Tobias, Xerxes Seposo, Bertil Forsberg, Yuming Guo, Shanshan Li, Yasushi Honda, Rosana Abrutzky, Micheline de Sousa Zanotti Stagliorio Coelho, Paulo H Nascimento Saldiva, Eric Lavigne, Haidong Kan, Samuel Osorio, Jan Kyselý, Aleš Urban, Hans Orru, Ene Indermitte, Jouni J Jaakkola, Niilo Ryti, Mathilde Pascal, Klea Katsouyanni, Fatemeh Mayvaneh, Alireza Entezari, Patrick Goodman, Ariana Zeka, Paola Michelozzi, Francesca de'Donato, Masahiro Hashizume, Barak Alahmad, Antonella Zanobetti, Joel Schwartz, Miguel Hurtado Diaz, C De La Cruz Valencia, Shilpa Rao, Joana Madureira, Fiorella Acquaotta, Ho Kim, Whanhee Lee, Carmen Iniguez, Martina S Ragettli, Yue L Guo, Tran Ngoc Dang, Do V Dung, Benedict Armstrong, Antonio Gasparrini","doi":"10.1097/EE9.0000000000000336","DOIUrl":"https://doi.org/10.1097/EE9.0000000000000336","url":null,"abstract":"<p><strong>Background: </strong>Heterogeneity in temperature-mortality relationships across locations may partly result from differences in the demographic structure of populations and their cause-specific vulnerabilities. Here we conduct the largest epidemiological study to date on the association between ambient temperature and mortality by age and cause using data from 532 cities in 33 countries.</p><p><strong>Methods: </strong>We collected daily temperature and mortality data from each country. Mortality data was provided as daily death counts within age groups from all, cardiovascular, respiratory, or noncardiorespiratory causes. We first fit quasi-Poisson regression models to estimate location-specific associations for each age-by-cause group. For each cause, we then pooled location-specific results in a dose-response multivariate meta-regression model that enabled us to estimate overall temperature-mortality curves at any age. The age analysis was limited to adults.</p><p><strong>Results: </strong>We observed high temperature effects on mortality from both cardiovascular and respiratory causes compared to noncardiorespiratory causes, with the highest cold-related risks from cardiovascular causes and the highest heat-related risks from respiratory causes. Risks generally increased with age, a pattern most consistent for cold and for nonrespiratory causes. For every cause group, risks at both temperature extremes were strongest at the oldest age (age 85 years). Excess mortality fractions were highest for cold at the oldest ages.</p><p><strong>Conclusions: </strong>There is a differential pattern of risk associated with heat and cold by cause and age; cardiorespiratory causes show stronger effects than noncardiorespiratory causes, and older adults have higher risks than younger adults.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 5","pages":"e336"},"PeriodicalIF":3.3,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11424137/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Environmental EpidemiologyPub Date : 2024-08-20eCollection Date: 2024-10-01DOI: 10.1097/EE9.0000000000000329
Dirga Kumar Lamichhane, Eunhee Ha, Amanda V Bakian, Yun-Chul Hong, Dong-Wook Lee, Myung-Sook Park, Sanghwan Song, Suejin Kim, Hyunju Park, Woo Jin Kim, Jisuk Bae, Hwan-Cheol Kim
{"title":"Association between phthalate exposure and sleep quality in pregnant women: Results from the Korean Children's Environmental Health Study with repeated assessment of exposure.","authors":"Dirga Kumar Lamichhane, Eunhee Ha, Amanda V Bakian, Yun-Chul Hong, Dong-Wook Lee, Myung-Sook Park, Sanghwan Song, Suejin Kim, Hyunju Park, Woo Jin Kim, Jisuk Bae, Hwan-Cheol Kim","doi":"10.1097/EE9.0000000000000329","DOIUrl":"10.1097/EE9.0000000000000329","url":null,"abstract":"<p><strong>Background: </strong>Evidence linking environmental toxicants to sleep quality is growing; however, these associations during pregnancy remain unclear. We examined the associations of repeated measures of urinary phthalates in early and late pregnancy with multiple markers of sleep quality among pregnant women.</p><p><strong>Methods: </strong>The study population included 2324 pregnant women from the Korean Children's Environmental Health Study. We analyzed spot urine samples collected at two time points during pregnancy for exposure biomarkers of eight phthalate metabolites. We investigated associations between four summary phthalates (all phthalates: ∑Phthalates; di-(2-ethylhexyl) phthalate: ∑DEHP; phthalates from plastic sources: ∑Plastic; and antiandrogenic phthalates: ∑AA) and eight individual phthalates and self-reported sleep measures using generalized ordinal logistic regression and generalized estimating equations models that accounted for repeated exposure measurements. The models were adjusted for age, body mass index, education, gestational age, income, physical activity, smoking, occupation, chronic diseases, depression, and urinary cotinine levels.</p><p><strong>Results: </strong>Multiple individual phthalates and summary measures of phthalate mixtures, including ∑Plastic, ∑DEHP, ∑AA, and ∑Phthalates, were associated with lower sleep efficiency. To illustrate, every 1-unit log increase in ∑AA was associated with a reduction of sleep efficiency by 1.37 % (95% confidence interval [CI] = -2.41, -0.32). ∑AA and ∑Phthalates were also associated with shorter sleep duration and longer sleep latency. Associations between summary phthalate measures and sleep efficiency differed by urinary cotinine levels (<i>P</i> for subgroup difference < 0.05).</p><p><strong>Conclusions: </strong>Findings suggest that higher phthalate exposure may be related to lower sleep efficiency, shorter sleep duration, and prolonged sleep latency during pregnancy.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 5","pages":"e329"},"PeriodicalIF":3.3,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11338265/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142016766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Environmental EpidemiologyPub Date : 2024-08-07eCollection Date: 2024-08-01DOI: 10.1097/EE9.0000000000000326
Anaïs Teyton, Nivedita Nukavarapu, Noémie Letellier, Dorothy D Sears, Jiue-An Yang, Marta M Jankowska, Tarik Benmarhnia
{"title":"Simulating the impact of greenspace exposure on metabolic biomarkers in a diverse population living in San Diego, California: A g-computation application.","authors":"Anaïs Teyton, Nivedita Nukavarapu, Noémie Letellier, Dorothy D Sears, Jiue-An Yang, Marta M Jankowska, Tarik Benmarhnia","doi":"10.1097/EE9.0000000000000326","DOIUrl":"10.1097/EE9.0000000000000326","url":null,"abstract":"<p><strong>Introduction: </strong>Growing evidence exists that greenspace exposure can reduce metabolic syndrome risk, a growing public health concern with well-documented inequities across population subgroups. We capitalize on the use of g-computation to simulate the influence of multiple possible interventions on residential greenspace on nine metabolic biomarkers and metabolic syndrome in adults (N = 555) from the 2014-2017 Community of Mine Study living in San Diego County, California.</p><p><strong>Methods: </strong>Normalized difference vegetation index (NDVI) exposure from 2017 was averaged across a 400-m buffer around the participants' residential addresses. Participants' fasting plasma glucose, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglyceride concentrations, systolic and diastolic blood pressure, hemoglobin A1c (%), waist circumference, and metabolic syndrome were assessed as outcomes of interest. Using parametric g-computation, we calculated risk differences for participants being exposed to each decile of the participant NDVI distribution compared to minimum NDVI. Differential health impacts from NDVI exposure by sex, ethnicity, income, and age were examined.</p><p><strong>Results: </strong>We found that a hypothetical increase in NDVI exposure led to a decrease in hemoglobin A1c (%), glucose, and high-density lipoprotein cholesterol concentrations, an increase in fasting total cholesterol, low-density lipoprotein cholesterol, and triglyceride concentrations, and minimal changes to systolic and diastolic blood pressure, waist circumference, and metabolic syndrome. The impact of NDVI changes was greater in women, Hispanic individuals, and those under 65 years old.</p><p><strong>Conclusions: </strong>G-computation helps to simulate the potential health benefits of differential NDVI exposure and identifies which subpopulations can benefit most from targeted interventions aimed at minimizing health disparities.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 4","pages":"e326"},"PeriodicalIF":3.3,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11309718/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141906241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Environmental EpidemiologyPub Date : 2024-08-06eCollection Date: 2024-08-01DOI: 10.1097/EE9.0000000000000324
Bert Brunekreef, Kurt Straif, Neil Pearce
{"title":"Reviewing umbrella reviews of systematic reviews of original studies on the effects of air pollution on disease.","authors":"Bert Brunekreef, Kurt Straif, Neil Pearce","doi":"10.1097/EE9.0000000000000324","DOIUrl":"10.1097/EE9.0000000000000324","url":null,"abstract":"","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 4","pages":"e324"},"PeriodicalIF":3.3,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11305730/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141901338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Environmental EpidemiologyPub Date : 2024-07-08eCollection Date: 2024-08-01DOI: 10.1097/EE9.0000000000000322
Jaime E Hart, Cindy R Hu, Jeff D Yanosky, Isabel Holland, Hari S Iyer, William Borchert, Francine Laden, Christine M Albert
{"title":"Short-term exposures to temperature and risk of sudden cardiac death in women: A case-crossover analysis in the Nurses' Health Study.","authors":"Jaime E Hart, Cindy R Hu, Jeff D Yanosky, Isabel Holland, Hari S Iyer, William Borchert, Francine Laden, Christine M Albert","doi":"10.1097/EE9.0000000000000322","DOIUrl":"10.1097/EE9.0000000000000322","url":null,"abstract":"<p><strong>Background: </strong>Sudden cardiac death (SCD) is a major source of mortality and is the first manifestation of heart disease for most cases. Thus, there is a definite need to identify risk factors for SCD that can be modified on the population level. Short-term exposures to temperature have been implicated as a potential risk factor. Our objective was to determine if short-term temperature exposures were associated with increased risk of SCD in a US-based time-stratified case-crossover study.</p><p><strong>Methods: </strong>A total of 465 cases of SCD were identified among participants of the prospective Nurses' Health Study (NHS). Control days were selected from all other matching days of the week within the same month as the case day. Average ambient temperature on the current day (Lag<sub>0</sub>) and preceding 27 days (Lags<sub>1-27</sub>) was determined at the residence level using 800-m resolution estimates. Conditional logistic distributed lag nonlinear models (DLNMs) were used to assess the relative risk (RR) of the full range of temperature exposures over the lag period.</p><p><strong>Results: </strong>Warmer exposures in the days before event and colder temperatures 21-28 days prior were associated with increased risks of SCD. These results were driven by associations in regions other than the Northeast and among married women.</p><p><strong>Conclusions: </strong>Both warm and cold ambient temperatures are suggestively associated with risks of SCD among middle-aged and older women living across the United States.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 4","pages":"e322"},"PeriodicalIF":3.3,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11233109/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141563016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Environmental EpidemiologyPub Date : 2024-06-25eCollection Date: 2024-08-01DOI: 10.1097/EE9.0000000000000314
Francesco Forastiere, Joseph V Spadaro, Carla Ancona, Zorana Jovanovic Andersen, Ilaria Cozzi, Sophie Gumy, Dejan Loncar, Pierpaolo Mudu, Sylvia Medina, Roman Perez Velasco, Heather Walton, Jiawei Zhang, Michal Krzyzanowski
{"title":"Choices of morbidity outcomes and concentration-response functions for health risk assessment of long-term exposure to air pollution.","authors":"Francesco Forastiere, Joseph V Spadaro, Carla Ancona, Zorana Jovanovic Andersen, Ilaria Cozzi, Sophie Gumy, Dejan Loncar, Pierpaolo Mudu, Sylvia Medina, Roman Perez Velasco, Heather Walton, Jiawei Zhang, Michal Krzyzanowski","doi":"10.1097/EE9.0000000000000314","DOIUrl":"10.1097/EE9.0000000000000314","url":null,"abstract":"<p><strong>Background: </strong>Air pollution health risk assessment (HRA) has been typically conducted for all causes and cause-specific mortality based on concentration-response functions (CRFs) from meta-analyses that synthesize the evidence on air pollution health effects. There is a need for a similar systematic approach for HRA for morbidity outcomes, which have often been omitted from HRA of air pollution, thus underestimating the full air pollution burden. We aimed to compile from the existing systematic reviews and meta-analyses CRFs for the incidence of several diseases that could be applied in HRA. To achieve this goal, we have developed a comprehensive strategy for the appraisal of the systematic reviews and meta-analyses that examine the relationship between long-term exposure to particulate matter with an aerodynamic diameter smaller than 2.5 µm (PM<sub>2.5</sub>), nitrogen dioxide (NO<sub>2</sub>), or ozone (O<sub>3</sub>) and incidence of various diseases.</p><p><strong>Methods: </strong>To establish the basis for our evaluation, we considered the causality determinations provided by the US Environmental Protection Agency Integrated Science Assessment for PM<sub>2.5</sub>, NO<sub>2</sub>, and O<sub>3</sub>. We developed a list of pollutant/outcome pairs based on these assessments and the evidence of a causal relationship between air pollutants and specific health outcomes. We conducted a comprehensive literature search using two databases and identified 75 relevant systematic reviews and meta-analyses for PM<sub>2.5</sub> and NO<sub>2</sub>. We found no relevant reviews for long-term exposure to ozone. We evaluated the reliability of these studies using an adaptation of the AMSTAR 2 tool, which assesses various characteristics of the reviews, such as literature search, data extraction, statistical analysis, and bias evaluation. The tool's adaptation focused on issues relevant to studies on the health effects of air pollution. Based on our assessment, we selected reviews that could be credible sources of CRF for HRA. We also assessed the confidence in the findings of the selected systematic reviews and meta-analyses as the sources of CRF for HRA. We developed specific criteria for the evaluation, considering factors such as the number of included studies, their geographical distribution, heterogeneity of study results, the statistical significance and precision of the pooled risk estimate in the meta-analysis, and consistency with more recent studies. Based on our assessment, we classified the outcomes into three lists: list A (a reliable quantification of health effects is possible in an HRA), list B+ (HRA is possible, but there is greater uncertainty around the reliability of the CRF compared to those included on list A), and list B- (HRA is not recommended because of the substantial uncertainty of the CRF).</p><p><strong>Results: </strong>In our final evaluation, list A includes six CRFs for PM<sub>2.5</sub> (asthma in children,","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 4","pages":"e314"},"PeriodicalIF":3.3,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11265782/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141751404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Environmental EpidemiologyPub Date : 2024-06-04eCollection Date: 2024-06-01DOI: 10.1097/EE9.0000000000000313
Stephanie Tuminello, Yibeltal Arega Ashebir, Chanel Schroff, Sitharam Ramaswami, Nedim Durmus, Yu Chen, Matija Snuderl, Yongzhao Shao, Joan Reibman, Alan A Arslan
{"title":"Genome-wide DNA methylation profiles and breast cancer among World Trade Center survivors.","authors":"Stephanie Tuminello, Yibeltal Arega Ashebir, Chanel Schroff, Sitharam Ramaswami, Nedim Durmus, Yu Chen, Matija Snuderl, Yongzhao Shao, Joan Reibman, Alan A Arslan","doi":"10.1097/EE9.0000000000000313","DOIUrl":"10.1097/EE9.0000000000000313","url":null,"abstract":"<p><strong>Background: </strong>Increased incidence of cancer has been reported among World Trade Center (WTC)-exposed persons. Aberrant DNA methylation is a hallmark of cancer development. To date, only a few small studies have investigated the relationship between WTC exposure and DNA methylation. The main objective of this study was to assess the DNA methylation profiles of WTC-exposed community members who remained cancer free and those who developed breast cancer.</p><p><strong>Methods: </strong>WTC-exposed women were selected from the WTC Environmental Health Center clinic, with peripheral blood collected during routine clinical monitoring visits. The reference group was selected from the NYU Women's Health Study, a prospective cohort study with blood samples collected before 9 November 2001. The Infinium MethylationEPIC array was used for global DNA methylation profiling, with adjustments for cell type composition and other confounders. Annotated probes were used for biological pathway and network analysis.</p><p><strong>Results: </strong>A total of 64 WTC-exposed (32 cancer free and 32 with breast cancer) and 32 WTC-unexposed (16 cancer free and 16 with prediagnostic breast cancer) participants were included. Hypermethylated cytosine-phosphate-guanine probe sites (defined as <i>β</i> > 0.8) were more common among WTC-exposed versus unexposed participants (14.3% vs. 4.5%, respectively, among the top 5000 cytosine-phosphate-guanine sites). Cancer-related pathways (e.g., human papillomavirus infection, cGMP-PKG) were overrepresented in WTC-exposed groups (breast cancer patients and cancer-free subjects). Compared to the unexposed breast cancer patients, 47 epigenetically dysregulated genes were identified among WTC-exposed breast cancers. These genes formed a network, including Wnt/β-catenin signaling genes <i>WNT4</i> and <i>TCF7L2</i>, and dysregulation of these genes contributes to cancer immune evasion.</p><p><strong>Conclusion: </strong>WTC exposure likely impacts DNA methylation and may predispose exposed individuals toward cancer development, possibly through an immune-mediated mechanism.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 3","pages":"e313"},"PeriodicalIF":3.6,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11152787/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141260394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Environmental EpidemiologyPub Date : 2024-04-04eCollection Date: 2024-04-01DOI: 10.1097/EE9.0000000000000295
Kritika Anand, Gagandeep Kaur Walia, Siddhartha Mandal, Jyothi S Menon, Ruby Gupta, Nikhil Tandon, K M Venkat Narayan, Mohammed K Ali, Viswanathan Mohan, Joel D Schwartz, Dorairaj Prabhakaran
{"title":"Longitudinal associations between ambient PM<sub>2.5</sub> exposure and lipid levels in two Indian cities.","authors":"Kritika Anand, Gagandeep Kaur Walia, Siddhartha Mandal, Jyothi S Menon, Ruby Gupta, Nikhil Tandon, K M Venkat Narayan, Mohammed K Ali, Viswanathan Mohan, Joel D Schwartz, Dorairaj Prabhakaran","doi":"10.1097/EE9.0000000000000295","DOIUrl":"10.1097/EE9.0000000000000295","url":null,"abstract":"<p><strong>Background: </strong>Exposure to ambient PM<sub>2.5</sub> is known to affect lipid metabolism through systemic inflammation and oxidative stress. Evidence from developing countries, such as India with high levels of ambient PM<sub>2.5</sub> and distinct lipid profiles, is sparse.</p><p><strong>Methods: </strong>Longitudinal nonlinear mixed-effects analysis was conducted on >10,000 participants of Centre for cArdiometabolic Risk Reduction in South Asia (CARRS) cohort in Chennai and Delhi, India. We examined associations between 1-month and 1-year average ambient PM<sub>2.5</sub> exposure derived from the spatiotemporal model and lipid levels (total cholesterol [TC], triglycerides [TRIG], high-density lipoprotein cholesterol [HDL-C], and low-density lipoprotein cholesterol [LDL-C]) measured longitudinally, adjusting for residential and neighborhood-level confounders.</p><p><strong>Results: </strong>The mean annual exposure in Chennai and Delhi was 40 and 102 μg/m<sup>3</sup> respectively. Elevated ambient PM<sub>2.5</sub> levels were associated with an increase in LDL-C and TC at levels up to 100 µg/m<sup>3</sup> in both cities and beyond 125 µg/m<sup>3</sup> in Delhi. TRIG levels in Chennai increased until 40 µg/m<sup>3</sup> for both short- and long-term exposures, then stabilized or declined, while in Delhi, there was a consistent rise with increasing annual exposures. HDL-C showed an increase in both cities against monthly average exposure. HDL-C decreased slightly in Chennai with an increase in long-term exposure, whereas it decreased beyond 130 µg/m<sup>3</sup> in Delhi.</p><p><strong>Conclusion: </strong>These findings demonstrate diverse associations between a wide range of ambient PM<sub>2.5</sub> and lipid levels in an understudied South Asian population. Further research is needed to establish causality and develop targeted interventions to mitigate the impact of air pollution on lipid metabolism and cardiovascular health.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 2","pages":"e295"},"PeriodicalIF":3.3,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11008625/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140850045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}