Pub Date : 2025-02-03eCollection Date: 2025-02-01DOI: 10.1097/EE9.0000000000000363
Brittany A Trottier, Andrew Olshan, Jessie K Edwards, Lawrence S Engel, Hazel B Nichols, Alexandra J White
Background: Millions of people in the United States live near Superfund sites and may be exposed to hazardous chemicals from those sites. However, there is limited research on chemicals present at sites and the demographics of nearby communities. We aimed to identify subgroups of Superfund sites with similar contaminant profiles and evaluate whether sociodemographic characteristics vary by type of site.
Methods: We used US Environmental Protection Agency Superfund data to identify sites active in the year 2000. Census tract centroids located within 3 miles of every Superfund site were identified and a weighted average of census tract-level sociodemographics using the 2000 US Census was calculated. Superfund sites with similar contaminant profiles were identified using latent class analysis. We compared the median sociodemographic characteristics, overall and by contaminant latent class, with those of the overall 2000 US Census.
Results: We identified seven latent classes based on 12 contaminant categories from 1332 Superfund sites active in 2000. Overall, there were few differences in sociodemographics observed by the presence of any Superfund site compared with the overall US Census. After stratifying by contaminant profile, we observed evidence of disparities for two classes of sites, defined by (1) high diversity of chemical exposure and lumber industry and (2) batteries and metals, which were more likely to have higher hazard scores and to be near communities with higher proportions of non-White individuals, lower socioeconomic status, and higher social vulnerability.
Conclusion: Disadvantaged communities, with higher social vulnerability, were more likely to be near certain Superfund sites with higher hazard scores.
{"title":"Who is living near different types of US Superfund sites: A latent class analysis considering site contaminant profiles.","authors":"Brittany A Trottier, Andrew Olshan, Jessie K Edwards, Lawrence S Engel, Hazel B Nichols, Alexandra J White","doi":"10.1097/EE9.0000000000000363","DOIUrl":"10.1097/EE9.0000000000000363","url":null,"abstract":"<p><strong>Background: </strong>Millions of people in the United States live near Superfund sites and may be exposed to hazardous chemicals from those sites. However, there is limited research on chemicals present at sites and the demographics of nearby communities. We aimed to identify subgroups of Superfund sites with similar contaminant profiles and evaluate whether sociodemographic characteristics vary by type of site.</p><p><strong>Methods: </strong>We used US Environmental Protection Agency Superfund data to identify sites active in the year 2000. Census tract centroids located within 3 miles of every Superfund site were identified and a weighted average of census tract-level sociodemographics using the 2000 US Census was calculated. Superfund sites with similar contaminant profiles were identified using latent class analysis. We compared the median sociodemographic characteristics, overall and by contaminant latent class, with those of the overall 2000 US Census.</p><p><strong>Results: </strong>We identified seven latent classes based on 12 contaminant categories from 1332 Superfund sites active in 2000. Overall, there were few differences in sociodemographics observed by the presence of any Superfund site compared with the overall US Census. After stratifying by contaminant profile, we observed evidence of disparities for two classes of sites, defined by (1) high diversity of chemical exposure and lumber industry and (2) batteries and metals, which were more likely to have higher hazard scores and to be near communities with higher proportions of non-White individuals, lower socioeconomic status, and higher social vulnerability.</p><p><strong>Conclusion: </strong>Disadvantaged communities, with higher social vulnerability, were more likely to be near certain Superfund sites with higher hazard scores.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"9 1","pages":"e363"},"PeriodicalIF":3.3,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11793257/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143188645","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}
Pub Date : 2025-01-22eCollection Date: 2025-02-01DOI: 10.1097/EE9.0000000000000364
Edgar Schwarz, Rob Duffield, Donna Lu, Hugh Fullagar, Karen Aus der Fünten, Sabrina Skorski, Tobias Tröß, Abed Hadji, Tim Meyer
A cross-sectional analysis was performed to investigate associations between environmental temperatures and injury occurrence in two professional male football (soccer) leagues. Data from seven seasons of the German Bundesliga (2142 matches) and four seasons of the Australian A-League (470 matches) were included. Injuries were collated via media reports for the Bundesliga and via team staff reports in the A-League and comprised injury incidence, mechanisms (contact, noncontact), locations (e.g., ankle, knee, and thigh), and types (e.g., muscle and tendon, joint and ligament). Weather data included ambient air temperature (temperature or T) and wet bulb globe temperature (WBGT), which were collected from online sources retrospectively. Generalized linear mixed models were analyzed to examine associations between temperature or WBGT and injury occurrence for each league, respectively. Additionally, matches were grouped into categories of 5°C temperature steps to compare for injury occurrence. Results showed no relationship existed between either temperature or WBGT and any injury occurrence, mechanisms, locations or types for the Bundesliga (P > 0.10). A trend for an increase in injury occurrence in higher WBGT existed in the A-League (P = 0.05). Comparisons between 5°C temperature categories showed no significant differences for injury occurrence for either temperature or WBGT in either League (P > 0.05). Within the observed temperature ranges (-11.2 to 37.1°C T; -12.2 to 29.6°C WBGT) environmental temperature had no relationship with the rate or type of injury occurrence in professional football. Nevertheless, the number of matches at extreme heat within this study was limited and other factors (e.g., playing intensity, season stage, ground conditions) likely co-influence the relationship with injuries.
{"title":"Associations between injury occurrence and environmental temperatures in the Australian and German professional football leagues.","authors":"Edgar Schwarz, Rob Duffield, Donna Lu, Hugh Fullagar, Karen Aus der Fünten, Sabrina Skorski, Tobias Tröß, Abed Hadji, Tim Meyer","doi":"10.1097/EE9.0000000000000364","DOIUrl":"10.1097/EE9.0000000000000364","url":null,"abstract":"<p><p>A cross-sectional analysis was performed to investigate associations between environmental temperatures and injury occurrence in two professional male football (soccer) leagues. Data from seven seasons of the German Bundesliga (2142 matches) and four seasons of the Australian A-League (470 matches) were included. Injuries were collated via media reports for the Bundesliga and via team staff reports in the A-League and comprised injury incidence, mechanisms (contact, noncontact), locations (e.g., ankle, knee, and thigh), and types (e.g., muscle and tendon, joint and ligament). Weather data included ambient air temperature (temperature or T) and wet bulb globe temperature (WBGT), which were collected from online sources retrospectively. Generalized linear mixed models were analyzed to examine associations between temperature or WBGT and injury occurrence for each league, respectively. Additionally, matches were grouped into categories of 5°C temperature steps to compare for injury occurrence. Results showed no relationship existed between either temperature or WBGT and any injury occurrence, mechanisms, locations or types for the Bundesliga (<i>P</i> > 0.10). A trend for an increase in injury occurrence in higher WBGT existed in the A-League (<i>P</i> = 0.05). Comparisons between 5°C temperature categories showed no significant differences for injury occurrence for either temperature or WBGT in either League (<i>P</i> > 0.05). Within the observed temperature ranges (-11.2 to 37.1°C T; -12.2 to 29.6°C WBGT) environmental temperature had no relationship with the rate or type of injury occurrence in professional football. Nevertheless, the number of matches at extreme heat within this study was limited and other factors (e.g., playing intensity, season stage, ground conditions) likely co-influence the relationship with injuries.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"9 1","pages":"e364"},"PeriodicalIF":3.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11756877/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143028218","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}
Pub Date : 2025-01-20eCollection Date: 2025-02-01DOI: 10.1097/EE9.0000000000000367
Hiwot Y Zewdie, Carolyn A Fahey, Anna L Harrington, Jaime E Hart, Mary L Biggs, Leslie A McClure, Eric A Whitsel, Joel D Kaufman, Anjum Hajat
Objective: We examined if racial residential segregation (RRS) - a fundamental cause of disease - is independently associated with air pollution after accounting for other neighborhood and individual-level sociodemographic factors, to better understand its potential role as a confounder of air pollution-health studies.
Methods: We compiled data from eight large cohorts, restricting to non-Hispanic Black and White urban-residing participants observed at least once between 1999 and 2005. We used 2000 decennial census data to derive a spatial RRS measure (divergence index) and neighborhood socioeconomic status (NSES) index for participants' residing Census tracts, in addition to participant baseline data, to examine associations between RRS and sociodemographic factors (NSES, education, race) and residential exposure to spatiotemporal model-predicted PM2.5 and NO2 levels. We fit random-effects meta-analysis models to pool estimates across adjusted cohort-specific multilevel models.
Results: Analytic sample included eligible participants in CHS (N = 3,605), MESA (4,785), REGARDS (22,649), NHS (90,415), NHSII (91,654), HPFS (32,625), WHI-OS (77,680), and WHI-CT (56,639). In adjusted univariate models, a quartile higher RRS was associated with 3.73% higher PM2.5 exposure (95% CI: 2.14%, 5.32%), and an 11.53% higher (95% CI: 10.83%, 12.22%) NO2 exposure on average. In fully adjusted models, higher RRS was associated with 3.25% higher PM2.5 exposure (95% CI: 1.45%, 5.05%; P < 0.05) and 10.22% higher NO2 exposure (95% CI: 6.69%, 13.74%; P < 0.001) on average.
Conclusions: Our findings indicate that RRS is associated with the differential distribution of poor air quality independent of NSES or individual race, suggesting it may be a relevant confounder to be considered in future air pollution epidemiology studies.
{"title":"Racial residential segregation is associated with ambient air pollution exposure after adjustment for multilevel sociodemographic factors: Evidence from eight US-based cohorts.","authors":"Hiwot Y Zewdie, Carolyn A Fahey, Anna L Harrington, Jaime E Hart, Mary L Biggs, Leslie A McClure, Eric A Whitsel, Joel D Kaufman, Anjum Hajat","doi":"10.1097/EE9.0000000000000367","DOIUrl":"10.1097/EE9.0000000000000367","url":null,"abstract":"<p><strong>Objective: </strong>We examined if racial residential segregation (RRS) - a fundamental cause of disease - is independently associated with air pollution after accounting for other neighborhood and individual-level sociodemographic factors, to better understand its potential role as a confounder of air pollution-health studies.</p><p><strong>Methods: </strong>We compiled data from eight large cohorts, restricting to non-Hispanic Black and White urban-residing participants observed at least once between 1999 and 2005. We used 2000 decennial census data to derive a spatial RRS measure (divergence index) and neighborhood socioeconomic status (NSES) index for participants' residing Census tracts, in addition to participant baseline data, to examine associations between RRS and sociodemographic factors (NSES, education, race) and residential exposure to spatiotemporal model-predicted PM<sub>2.5</sub> and NO<sub>2</sub> levels. We fit random-effects meta-analysis models to pool estimates across adjusted cohort-specific multilevel models.</p><p><strong>Results: </strong>Analytic sample included eligible participants in CHS (N = 3,605), MESA (4,785), REGARDS (22,649), NHS (90,415), NHSII (91,654), HPFS (32,625), WHI-OS (77,680), and WHI-CT (56,639). In adjusted univariate models, a quartile higher RRS was associated with 3.73% higher PM<sub>2.5</sub> exposure (95% CI: 2.14%, 5.32%), and an 11.53% higher (95% CI: 10.83%, 12.22%) NO<sub>2</sub> exposure on average. In fully adjusted models, higher RRS was associated with 3.25% higher PM<sub>2.5</sub> exposure (95% CI: 1.45%, 5.05%; <i>P</i> < 0.05) and 10.22% higher NO<sub>2</sub> exposure (95% CI: 6.69%, 13.74%; <i>P</i> < 0.001) on average.</p><p><strong>Conclusions: </strong>Our findings indicate that RRS is associated with the differential distribution of poor air quality independent of NSES or individual race, suggesting it may be a relevant confounder to be considered in future air pollution epidemiology studies.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"9 1","pages":"e367"},"PeriodicalIF":3.3,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11749741/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143002298","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}
Pub Date : 2025-01-15eCollection Date: 2025-02-01DOI: 10.1097/EE9.0000000000000361
Mariah Kahwaji, Luke Duttweiler, Sally W Thurston, Donald Harrington, Richard K Miller, Susan K Murphy, Christina Wang, Jessica Brunner, Yihui Ge, Yan Lin, Philip K Hopke, Thomas G O'Connor, Junfeng J Zhang, David Q Rich, Emily S Barrett
Background: Sex steroid hormones are critical for maintaining pregnancy and optimal fetal development. Air pollutants are potential endocrine disruptors that may disturb sex steroidogenesis during pregnancy, potentially leading to adverse health outcomes.
Methods: In the Environmental influences on Child Health Outcomes Understanding Pregnancy Signals and Infant Development pregnancy cohort (Rochester, NY), sex steroid concentrations were collected at study visits in early-, mid-, and late-pregnancy in 299 participants. Since these visits varied by the gestational age at blood draw, values were imputed at 14, 22, and 30 weeks gestation. Daily NO2 and PM2.5 concentrations were estimated using random forest models, with daily concentrations from each 1-km2 grid containing the subject's residence. Associations between gestational week mean NO2 and PM2.5 concentrations and sex steroid concentrations were examined utilizing distributed lag nonlinear models.
Results: Each interquartile range (IQR = 9 ppb) increase in NO2 during weeks 0-5 was associated with higher early-pregnancy total testosterone levels (cumulative β = 0.45 ln[ng/dl]; 95% CI = 0.07, 0.83), while each IQR increase in NO2 during weeks 12-14 was associated with lower early-pregnancy total testosterone levels (cumulative β = -0.27 ln[ng/dl]; 95% CI = -0.53, -0.01). Similar NO2 increases during gestational weeks 0-14 were associated with higher late-pregnancy estradiol concentrations (cumulative β = 0.29 ln[pg/ml]; 95% CI = 0.10, 0.49), while each IQR increase in NO2 concentrations during gestational weeks 22-30 was associated with lower late-pregnancy estradiol concentrations (cumulative β = -0.18 ln[pg/ml]; 95% CI = -0.34, -0.02). No associations with PM2.5 were observed, except for an IQR increase in PM2.5 concentrations (IQR = 4 µg/m3) during gestational weeks 5-11 which was associated with lower late-pregnancy estriol levels (cumulative β = -0.16 ln[ng/ml]; 95% CI = -0.31, -0.00).
Conclusions: Residential NO2 exposure was associated with altered sex steroid hormone concentrations during pregnancy with some indication of potential compensatory mechanisms.
背景:性类固醇激素对维持妊娠和最佳胎儿发育至关重要。空气污染物是潜在的内分泌干扰物,可能会干扰怀孕期间的性类固醇生成,可能导致不利的健康后果。方法:在了解妊娠信号和婴儿发育的环境对儿童健康结局的影响妊娠队列(Rochester, NY)中,299名参与者在妊娠早期、中期和晚期的研究访问中收集了性类固醇浓度。由于这些访问随抽血时的胎龄而变化,因此在妊娠14周、22周和30周时进行了数值计算。使用随机森林模型估计NO2和PM2.5的日浓度,每1平方公里网格包含受试者的住所。利用分布滞后非线性模型检验妊娠周平均NO2和PM2.5浓度与性类固醇浓度之间的关系。结果:0-5周NO2升高的每四分位数范围(IQR = 9 ppb)与妊娠早期总睾酮水平升高相关(累积β = 0.45 ln[ng/dl];95% CI = 0.07, 0.83),而12-14周NO2每增加1 IQR与妊娠早期总睾酮水平降低相关(累积β = -0.27 ln[ng/dl];95% ci = -0.53, -0.01)。妊娠0-14周NO2升高与妊娠后期雌二醇浓度升高相关(累积β = 0.29 ln[pg/ml];95% CI = 0.10, 0.49),而妊娠22-30周NO2浓度的每一次IQR增加与妊娠后期雌二醇浓度降低相关(累积β = -0.18 ln[pg/ml];95% ci = -0.34, -0.02)。除了妊娠5-11周PM2.5浓度IQR增加(IQR = 4µg/m3)与妊娠后期雌三醇水平较低(累积β = -0.16 ln[ng/ml])相关外,未观察到与PM2.5的关联;95% ci = -0.31, -0.00)。结论:居住NO2暴露与怀孕期间性类固醇激素浓度的改变有关,并有一些潜在的补偿机制。
{"title":"Gestational exposure to PM<sub>2.5</sub>, NO<sub>2</sub>, and sex steroid hormones: Identifying critical windows of exposure in the Rochester UPSIDE Cohort.","authors":"Mariah Kahwaji, Luke Duttweiler, Sally W Thurston, Donald Harrington, Richard K Miller, Susan K Murphy, Christina Wang, Jessica Brunner, Yihui Ge, Yan Lin, Philip K Hopke, Thomas G O'Connor, Junfeng J Zhang, David Q Rich, Emily S Barrett","doi":"10.1097/EE9.0000000000000361","DOIUrl":"10.1097/EE9.0000000000000361","url":null,"abstract":"<p><strong>Background: </strong>Sex steroid hormones are critical for maintaining pregnancy and optimal fetal development. Air pollutants are potential endocrine disruptors that may disturb sex steroidogenesis during pregnancy, potentially leading to adverse health outcomes.</p><p><strong>Methods: </strong>In the Environmental influences on Child Health Outcomes Understanding Pregnancy Signals and Infant Development pregnancy cohort (Rochester, NY), sex steroid concentrations were collected at study visits in early-, mid-, and late-pregnancy in 299 participants. Since these visits varied by the gestational age at blood draw, values were imputed at 14, 22, and 30 weeks gestation. Daily NO<sub>2</sub> and PM<sub>2.5</sub> concentrations were estimated using random forest models, with daily concentrations from each 1-km<sup>2</sup> grid containing the subject's residence. Associations between gestational week mean NO<sub>2</sub> and PM<sub>2.5</sub> concentrations and sex steroid concentrations were examined utilizing distributed lag nonlinear models.</p><p><strong>Results: </strong>Each interquartile range (IQR = 9 ppb) increase in NO<sub>2</sub> during weeks 0-5 was associated with higher early-pregnancy total testosterone levels (cumulative β = 0.45 ln[ng/dl]; 95% CI = 0.07, 0.83), while each IQR increase in NO<sub>2</sub> during weeks 12-14 was associated with lower early-pregnancy total testosterone levels (cumulative β = -0.27 ln[ng/dl]; 95% CI = -0.53, -0.01). Similar NO<sub>2</sub> increases during gestational weeks 0-14 were associated with higher late-pregnancy estradiol concentrations (cumulative β = 0.29 ln[pg/ml]; 95% CI = 0.10, 0.49), while each IQR increase in NO<sub>2</sub> concentrations during gestational weeks 22-30 was associated with lower late-pregnancy estradiol concentrations (cumulative β = -0.18 ln[pg/ml]; 95% CI = -0.34, -0.02). No associations with PM<sub>2.5</sub> were observed, except for an IQR increase in PM<sub>2.5</sub> concentrations (IQR = 4 µg/m<sup>3</sup>) during gestational weeks 5-11 which was associated with lower late-pregnancy estriol levels (cumulative β = -0.16 ln[ng/ml]; 95% CI = -0.31, -0.00).</p><p><strong>Conclusions: </strong>Residential NO<sub>2</sub> exposure was associated with altered sex steroid hormone concentrations during pregnancy with some indication of potential compensatory mechanisms.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"9 1","pages":"e361"},"PeriodicalIF":3.3,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11737499/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143002296","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}
Pub Date : 2024-11-25eCollection Date: 2024-12-01DOI: 10.1097/EE9.0000000000000356
Rocio Torrico-Lavayen, Rosalinda Posadas-Sánchez, Citlalli Osorio-Yáñez, Marco Sanchez-Guerra, José Luis Texcalac-Sangrador, Eduardo Ortiz-Panozo, Andrea De Vizcaya-Ruiz, Viridiana Botello-Taboada, Elihu Alexander Hernández-Rodríguez, Iván Gutiérrez-Avila, Gilberto Vargas-Alarcón, Horacio Riojas-Rodríguez
Background: Ambient fine particulate matter (PM2.5) is a risk factor for atherosclerosis disease. We aimed to assess whether nitric oxide stable metabolites (NOx) and l-arginine mediate the association between PM2.5 and carotid intima media thickness (cIMT) increase.
Methods: We selected 251 participants from the control group of GEA (Genetics of Atheroslerosis Disease Mexican) study (2008-2013) in Mexico City. Mediation models were carried out using pathway analyses, a special case of structural equation models.
Results: The median concentration of PM2.5 area under the curve (auc) was 25.2 µg/m3 (interquartile range: 24.2-26.4 µg/m3). Employing participants with observed values for both biomarkers (n = 117), the total effect of PM2.5auc on mean cIMT at bilateral, right, and left was 19.27 µm (95% confidence interval [CI]: 5.77, 32.78; P value = 0.005), 12.69 µm (95% CI: 0.67, 24.71; P value = 0.039), and 25.86 µm (95% CI: 3.18, 48.53; P value = 0.025) per each 1 µg/m3 increase of PM2.5auc. The direct effect of PM2.5auc (per 1 µg/m3 increase) was 18.89 µm (95% CI: 5.37, 32.41; P value = 0.006) for bilateral, 13.65 µm (95% CI: 0.76, 26.55; P value = 0.038) for right, and 24.13 µm (95% CI: 3.22, 45.03; P value = 0.024) for left. The indirect effects of NOx and l-arginine were not statistically significant showing that endothelial function biomarkers did not mediate PM2.5 and cIMT associations. Although l-arginine was not a mediator in the PM2.5 and cIMT pathway, a decrease in l-arginine was significantly associated with PM2.5auc.
Conclusions: In this study of adults from Mexico City, we found that PM2.5 was associated with an increase in cIMT at bilateral, left, and right, and these associations were not mediated by endothelial function biomarkers (l-arginine and NOx).
{"title":"Fine particulate matter and intima media thickness: Role of endothelial function biomarkers.","authors":"Rocio Torrico-Lavayen, Rosalinda Posadas-Sánchez, Citlalli Osorio-Yáñez, Marco Sanchez-Guerra, José Luis Texcalac-Sangrador, Eduardo Ortiz-Panozo, Andrea De Vizcaya-Ruiz, Viridiana Botello-Taboada, Elihu Alexander Hernández-Rodríguez, Iván Gutiérrez-Avila, Gilberto Vargas-Alarcón, Horacio Riojas-Rodríguez","doi":"10.1097/EE9.0000000000000356","DOIUrl":"10.1097/EE9.0000000000000356","url":null,"abstract":"<p><strong>Background: </strong>Ambient fine particulate matter (PM<sub>2.5</sub>) is a risk factor for atherosclerosis disease. We aimed to assess whether nitric oxide stable metabolites (NOx) and l-arginine mediate the association between PM<sub>2.5</sub> and carotid intima media thickness (cIMT) increase.</p><p><strong>Methods: </strong>We selected 251 participants from the control group of GEA (Genetics of Atheroslerosis Disease Mexican) study (2008-2013) in Mexico City. Mediation models were carried out using pathway analyses, a special case of structural equation models.</p><p><strong>Results: </strong>The median concentration of PM<sub>2.5</sub> area under the curve (auc) was 25.2 µg/m<sup>3</sup> (interquartile range: 24.2-26.4 µg/m<sup>3</sup>). Employing participants with observed values for both biomarkers (n = 117), the total effect of PM<sub>2.5auc</sub> on mean cIMT at bilateral, right, and left was 19.27 µm (95% confidence interval [CI]: 5.77, 32.78; <i>P</i> value = 0.005), 12.69 µm (95% CI: 0.67, 24.71; <i>P</i> value = 0.039), and 25.86 µm (95% CI: 3.18, 48.53; <i>P</i> value = 0.025) per each 1 µg/m<sup>3</sup> increase of PM<sub>2.5auc</sub>. The direct effect of PM<sub>2.5auc</sub> (per 1 µg/m<sup>3</sup> increase) was 18.89 µm (95% CI: 5.37, 32.41; <i>P</i> value = 0.006) for bilateral, 13.65 µm (95% CI: 0.76, 26.55; <i>P</i> value = 0.038) for right, and 24.13 µm (95% CI: 3.22, 45.03; <i>P</i> value = 0.024) for left. The indirect effects of NOx and l-arginine were not statistically significant showing that endothelial function biomarkers did not mediate PM<sub>2.5</sub> and cIMT associations. Although l-arginine was not a mediator in the PM<sub>2.5</sub> and cIMT pathway, a decrease in l-arginine was significantly associated with PM<sub>2.5auc</sub>.</p><p><strong>Conclusions: </strong>In this study of adults from Mexico City, we found that PM<sub>2.5</sub> was associated with an increase in cIMT at bilateral, left, and right, and these associations were not mediated by endothelial function biomarkers (l-arginine and NOx).</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 6","pages":"e356"},"PeriodicalIF":3.3,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11596520/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142727308","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}
Pub Date : 2024-11-12eCollection Date: 2024-12-01DOI: 10.1097/EE9.0000000000000353
Nazeeba Siddika, Carina J Gronlund, Alexis J Handal, Marie S O'Neill
Environmental epidemiologists are increasingly evaluating whether and how human exposure to vegetation (greenspace) can benefit health. Relatedly, scientists and policymakers have highlighted the need to integrate efforts to address the dual crises of accelerating climate change and rapid loss of biodiversity, including nature-based solutions. Greenspace is one solution that can protect humans from climate-related exposures, including heat, air pollution, and flooding. However, most environmental epidemiology research on greenspace occurs in high-income countries, and adverse birth outcomes, previously associated with greenspace, disproportionately occur in low- and middle-income countries (LMICs). Although epidemiology research using existing survey or administrative data and satellite imagery is important for documenting broad patterns, such research is lacking in LMICs. Further, complementary, community-engaged research to inform interventions and policies is needed so that nature-based solutions with co-benefits for climate mitigation and health are adopted effectively and equitably. We provide suggestions for future research that would increase impact and call for better representation of LMICs and vulnerable communities within high-income countries in research and action on greenspace and climate-sensitive birth outcomes.
{"title":"Advancing research on greenspace and climate-sensitive adverse birth outcomes for equity and impact.","authors":"Nazeeba Siddika, Carina J Gronlund, Alexis J Handal, Marie S O'Neill","doi":"10.1097/EE9.0000000000000353","DOIUrl":"10.1097/EE9.0000000000000353","url":null,"abstract":"<p><p>Environmental epidemiologists are increasingly evaluating whether and how human exposure to vegetation (greenspace) can benefit health. Relatedly, scientists and policymakers have highlighted the need to integrate efforts to address the dual crises of accelerating climate change and rapid loss of biodiversity, including nature-based solutions. Greenspace is one solution that can protect humans from climate-related exposures, including heat, air pollution, and flooding. However, most environmental epidemiology research on greenspace occurs in high-income countries, and adverse birth outcomes, previously associated with greenspace, disproportionately occur in low- and middle-income countries (LMICs). Although epidemiology research using existing survey or administrative data and satellite imagery is important for documenting broad patterns, such research is lacking in LMICs. Further, complementary, community-engaged research to inform interventions and policies is needed so that nature-based solutions with co-benefits for climate mitigation and health are adopted effectively and equitably. We provide suggestions for future research that would increase impact and call for better representation of LMICs and vulnerable communities within high-income countries in research and action on greenspace and climate-sensitive birth outcomes.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 6","pages":"e353"},"PeriodicalIF":3.3,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11560118/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142616759","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}
Pub Date : 2024-10-10eCollection Date: 2024-12-01DOI: 10.1097/EE9.0000000000000348
Cindy R Hu, Grete E Wilt, Charlotte Roscoe, Hari S Iyer, William H Kessler, Francine Laden, Jorge E Chavarro, Brent Coull, Susan Redline, Peter James, Jaime E Hart
Background: Sleep is influenced by the environments that we experience while awake and while asleep. Neighborhood walkability has been linked with chronic disease and lifestyle factors, such as physical activity; however, evidence for the association between walkability and sleep is mixed. Extant studies assign walkability based on residential addresses, which does not account for mobility. We examined the association between walkability and sleep in the Nurses' Health Study 3 (NHS3) Mobile Health Substudy (MHS).
Methods: From 2018 to 2020, individuals in the United States-based NHS3 prospective cohort participated in the MHS, in which minute-level global positioning systems (GPS) data and objective sleep duration and efficiency measures were collected via a custom smartphone application and Fitbit, respectively, for four 7-day periods across a year to capture seasonal variability. Census tract walkability was calculated by summing z-scores of population density (2015-2019 American Community Survey), business density (2018 Infogroup), and intersection density (2018 TIGER/Line road shapefiles). We ran generalized additive mixed models with penalized splines to estimate the association between walkability and sleep, adjusting for individual-level covariates as well as GPS-based exposure to environmental and contextual factors.
Results: The average main sleep period duration was 7.9 hours and the mean sleep efficiency was 93%. For both sleep duration and sleep efficiency, we did not observe an association with daily average walkability exposure.
Conclusion: In this study of women across the United States, we found that daily GPS-based neighborhood walkability exposure during wake time was not associated with objective wearable-derived sleep duration or sleep efficiency.
{"title":"Associations of seasonally available global positioning systems-derived walkability and objectively measured sleep in the Nurses' Health Study 3 Mobile Health Substudy.","authors":"Cindy R Hu, Grete E Wilt, Charlotte Roscoe, Hari S Iyer, William H Kessler, Francine Laden, Jorge E Chavarro, Brent Coull, Susan Redline, Peter James, Jaime E Hart","doi":"10.1097/EE9.0000000000000348","DOIUrl":"10.1097/EE9.0000000000000348","url":null,"abstract":"<p><strong>Background: </strong>Sleep is influenced by the environments that we experience while awake and while asleep. Neighborhood walkability has been linked with chronic disease and lifestyle factors, such as physical activity; however, evidence for the association between walkability and sleep is mixed. Extant studies assign walkability based on residential addresses, which does not account for mobility. We examined the association between walkability and sleep in the Nurses' Health Study 3 (NHS3) Mobile Health Substudy (MHS).</p><p><strong>Methods: </strong>From 2018 to 2020, individuals in the United States-based NHS3 prospective cohort participated in the MHS, in which minute-level global positioning systems (GPS) data and objective sleep duration and efficiency measures were collected via a custom smartphone application and Fitbit, respectively, for four 7-day periods across a year to capture seasonal variability. Census tract walkability was calculated by summing <i>z</i>-scores of population density (2015-2019 American Community Survey), business density (2018 Infogroup), and intersection density (2018 TIGER/Line road shapefiles). We ran generalized additive mixed models with penalized splines to estimate the association between walkability and sleep, adjusting for individual-level covariates as well as GPS-based exposure to environmental and contextual factors.</p><p><strong>Results: </strong>The average main sleep period duration was 7.9 hours and the mean sleep efficiency was 93%. For both sleep duration and sleep efficiency, we did not observe an association with daily average walkability exposure.</p><p><strong>Conclusion: </strong>In this study of women across the United States, we found that daily GPS-based neighborhood walkability exposure during wake time was not associated with objective wearable-derived sleep duration or sleep efficiency.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 6","pages":"e348"},"PeriodicalIF":3.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11469837/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142460855","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}
Pub Date : 2024-10-08eCollection Date: 2024-10-01DOI: 10.1097/EE9.0000000000000333
Claudia M Waddingham, Patrick Hinton, Paul J Villeneuve, Jeffrey R Brook, Eric Lavigne, Kristian Larsen, Will D King, Deyong Wen, Jun Meng, Junhua Zhang, Elisabeth Galarneau, Shelley A Harris
Background: Ambient polycyclic aromatic hydrocarbons (PAHs) are a class of toxicologically important and understudied air pollutants. Epidemiologic evidence suggests that chronic exposure to PAHs increases breast cancer risk; however, there are few studies in nonoccupational settings that focus on early-onset diagnoses.
Methods: The relationship between residentially-based ambient PAH concentrations and female breast cancer, among those 18-45 years of age, was characterized in the Ontario Environment and Health Study (OEHS). The OEHS was a population-based case-control study undertaken in Ontario, Canada between 2013 and 2015. Primary incident breast cancers were identified within 3 months of diagnosis, and a population-based series of controls were recruited. Concentrations of ambient PAHs, using fluoranthene as a surrogate, were derived using a chemical transport model at a 2.5 km spatial resolution. These estimates were assigned to participants' residences at the time of the interview and 5 years prior. Logistic regression was used to estimate odds ratios (ORs) and their 95% confidence intervals (CIs) based on a quartile categorization of fluoranthene exposure while adjusting for a series of individual- and area-level risk factors. The shape of the exposure-response trend was evaluated using cubic splines.
Results: Median fluoranthene exposure for cases and controls was 0.0017 µg/m3 and 0.0014 µg/m3, respectively. In models adjusted for a parsimonious set of risk factors, the highest quartile of exposure was associated with an increased risk of breast cancer (OR = 2.16; 95% CI = 1.22, 3.84). Restricted spline analyses revealed nonlinear dose-response patterns.
Conclusions: These findings support the hypothesis that ambient PAH exposures increases the risk of early-onset breast cancer.
{"title":"Exposure to ambient polycyclic aromatic hydrocarbons and early-onset female breast cancer in a case-control study in Ontario, Canada.","authors":"Claudia M Waddingham, Patrick Hinton, Paul J Villeneuve, Jeffrey R Brook, Eric Lavigne, Kristian Larsen, Will D King, Deyong Wen, Jun Meng, Junhua Zhang, Elisabeth Galarneau, Shelley A Harris","doi":"10.1097/EE9.0000000000000333","DOIUrl":"10.1097/EE9.0000000000000333","url":null,"abstract":"<p><strong>Background: </strong>Ambient polycyclic aromatic hydrocarbons (PAHs) are a class of toxicologically important and understudied air pollutants. Epidemiologic evidence suggests that chronic exposure to PAHs increases breast cancer risk; however, there are few studies in nonoccupational settings that focus on early-onset diagnoses.</p><p><strong>Methods: </strong>The relationship between residentially-based ambient PAH concentrations and female breast cancer, among those 18-45 years of age, was characterized in the Ontario Environment and Health Study (OEHS). The OEHS was a population-based case-control study undertaken in Ontario, Canada between 2013 and 2015. Primary incident breast cancers were identified within 3 months of diagnosis, and a population-based series of controls were recruited. Concentrations of ambient PAHs, using fluoranthene as a surrogate, were derived using a chemical transport model at a 2.5 km spatial resolution. These estimates were assigned to participants' residences at the time of the interview and 5 years prior. Logistic regression was used to estimate odds ratios (ORs) and their 95% confidence intervals (CIs) based on a quartile categorization of fluoranthene exposure while adjusting for a series of individual- and area-level risk factors. The shape of the exposure-response trend was evaluated using cubic splines.</p><p><strong>Results: </strong>Median fluoranthene exposure for cases and controls was 0.0017 µg/m<sup>3</sup> and 0.0014 µg/m<sup>3</sup>, respectively. In models adjusted for a parsimonious set of risk factors, the highest quartile of exposure was associated with an increased risk of breast cancer (OR = 2.16; 95% CI = 1.22, 3.84). Restricted spline analyses revealed nonlinear dose-response patterns.</p><p><strong>Conclusions: </strong>These findings support the hypothesis that ambient PAH exposures increases the risk of early-onset breast cancer.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 5","pages":"e333"},"PeriodicalIF":3.3,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11463212/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142389006","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}
Pub Date : 2024-10-03eCollection Date: 2024-10-01DOI: 10.1097/EE9.0000000000000344
Marat Murzabekov, Åsa Persson, Christian Asker, Karl Kilbo Edlund, Charlotta Eriksson, Tomas Jernberg, Peter Molnar, Anna Oudin, Andrei Pyko, Jenny Lindvall, Mare Lõhmus, Kerstin Persson Waye, Johan Nilsson Sommar, Leo Stockfelt, Mårten Spanne, Magnus Svartengren, Mikael Ögren, Göran Pershagen, Petter Ljungman
Background: Road-traffic noise may influence the development of cardiovascular events such as stroke and myocardial infarction, but etiological mechanisms remain unclear. This study aimed to assess the relationship between long-term road-traffic noise exposure and coronary atherosclerosis in Sweden.
Methods: In the Swedish CArdioPulmonary bioImage Study (SCAPIS) cohort, including 30,154 subjects aged 50-65 years, recruited between 2013 and 2018, coronary atherosclerosis was measured based on computer tomography (CT) scans as coronary artery calcium score, segment involvement score (SIS), and non-calcified plaques (NCP) at enrollment. Based on modified Nordic model, road-traffic noise exposure was modeled for 2000, 2013, and 2018 with interpolation for intermediate years. We investigated the association between time-weighted long-term exposure to road-traffic noise (Lden) and the prevalence of atherosclerosis using ordinal logistic regression models adjusting for potential socioeconomic, behavioral, and environmental confounders, including air pollution.
Results: No clear associations were found between road-traffic noise and coronary atherosclerosis. The odds ratio for coronary artery calcium score was 1.00 (95% confidence interval [CI] = 0.96, 1.04), SIS 0.99 (0.96, 1.03), and NCP 0.98 (0.90, 1.03) per interquartile range (9.4 dB Lden) for road-traffic noise exposure during 10 years before enrollment. No consistent associations were observed in site-specific analyses or using shorter exposure periods. Furthermore, exposure-response analyses revealed no clear trends, and there were no strong interactions between road-traffic noise and cardiovascular risk factors in relation to the atherosclerosis markers.
Conclusions: Long-term exposure to road-traffic noise was not linked to coronary atherosclerosis or calcification in relatively healthy, middle-aged populations in Sweden.
{"title":"Road-traffic noise exposure and coronary atherosclerosis in the Swedish CArdioPulmonary bioImage Study (SCAPIS).","authors":"Marat Murzabekov, Åsa Persson, Christian Asker, Karl Kilbo Edlund, Charlotta Eriksson, Tomas Jernberg, Peter Molnar, Anna Oudin, Andrei Pyko, Jenny Lindvall, Mare Lõhmus, Kerstin Persson Waye, Johan Nilsson Sommar, Leo Stockfelt, Mårten Spanne, Magnus Svartengren, Mikael Ögren, Göran Pershagen, Petter Ljungman","doi":"10.1097/EE9.0000000000000344","DOIUrl":"10.1097/EE9.0000000000000344","url":null,"abstract":"<p><strong>Background: </strong>Road-traffic noise may influence the development of cardiovascular events such as stroke and myocardial infarction, but etiological mechanisms remain unclear. This study aimed to assess the relationship between long-term road-traffic noise exposure and coronary atherosclerosis in Sweden.</p><p><strong>Methods: </strong>In the Swedish CArdioPulmonary bioImage Study (SCAPIS) cohort, including 30,154 subjects aged 50-65 years, recruited between 2013 and 2018, coronary atherosclerosis was measured based on computer tomography (CT) scans as coronary artery calcium score, segment involvement score (SIS), and non-calcified plaques (NCP) at enrollment. Based on modified Nordic model, road-traffic noise exposure was modeled for 2000, 2013, and 2018 with interpolation for intermediate years. We investigated the association between time-weighted long-term exposure to road-traffic noise (L<sub>den</sub>) and the prevalence of atherosclerosis using ordinal logistic regression models adjusting for potential socioeconomic, behavioral, and environmental confounders, including air pollution.</p><p><strong>Results: </strong>No clear associations were found between road-traffic noise and coronary atherosclerosis. The odds ratio for coronary artery calcium score was 1.00 (95% confidence interval [CI] = 0.96, 1.04), SIS 0.99 (0.96, 1.03), and NCP 0.98 (0.90, 1.03) per interquartile range (9.4 dB L<sub>den</sub>) for road-traffic noise exposure during 10 years before enrollment. No consistent associations were observed in site-specific analyses or using shorter exposure periods. Furthermore, exposure-response analyses revealed no clear trends, and there were no strong interactions between road-traffic noise and cardiovascular risk factors in relation to the atherosclerosis markers.</p><p><strong>Conclusions: </strong>Long-term exposure to road-traffic noise was not linked to coronary atherosclerosis or calcification in relatively healthy, middle-aged populations in Sweden.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 5","pages":"e344"},"PeriodicalIF":3.3,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11452091/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142380305","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}
Pub Date : 2024-09-30eCollection Date: 2024-10-01DOI: 10.1097/EE9.0000000000000334
Daewon Yang, Masahiro Hashizume, Aurelio Tobías, Yasushi Honda, Dominic Roye, Jaemin Oh, Tran Ngoc Dang, Yoonhee Kim, Rosana Abrutzky, Yuming Guo, Shilu Tong, Micheline de Sousa Zanotti Stagliorio Coelho, Paulo Hilario Nascimento Saldiva, Eric Lavigne, Patricia Matus Correa, Nicolás Valdés Ortega, Samuel Osorio, Jan Kyselý, Aleš Urban, Hans Orru, Ene Indermitte, Jouni Jaakkola, Niilo Ryti, Mathilde Pascal, Veronika Huber, Alexandra Schneider, Klea Katsouyanni, Antonis Analitis, Alireza Entezari, Fatemeh Mayvaneh, Patrick Goodman, Ariana Zeka, Paola Michelozzi, Francesca de'Donato, Barrak Alahmad, Magali Hurtado Diaz, César De la Cruz Valencia, Ala Overcenco, Danny Houthuijs, Caroline Ameling, Shilpa Rao, Baltazar Nunes, Joana Madureira, Iulian Horia Holo-Bâc, Noah Scovronick, Fiorella Acquaotta, Ho Kim, Whanhee Lee, Carmen Íñiguez, Bertil Forsberg, Ana Maria Vicedo-Cabrera, Martina S Ragettli, Yue-Liang Leon Guo, Shih Chun Pan, Shanshan Li, Francesco Sera, Antonella Zanobetti, Joel Schwartz, Ben Armstrong, Antonio Gasparrini, Yeonseung Chung
Background: The minimum mortality temperature (MMT) or MMT percentile (MMTP) is an indicator of population susceptibility to nonoptimum temperatures. MMT and MMTP change over time; however, the changing directions show region-wide heterogeneity. We examined the heterogeneity of temporal changes in MMT and MMTP across multiple communities and in multiple countries.
Methods: Daily time-series data for mortality and ambient mean temperature for 699 communities in 34 countries spanning 1986-2015 were analyzed using a two-stage meta-analysis. First, a quasi-Poisson regression was employed to estimate MMT and MMTP for each community during the designated subperiods. Second, we pooled the community-specific temporally varying estimates using mixed-effects meta-regressions to examine temporal changes in MMT and MMTP in the entire study population, as well as by climate zone, geographical region, and country.
Results: Temporal increases in MMT and MMTP from 19.5 °C (17.9, 21.1) to 20.3 °C (18.5, 22.0) and from the 74.5 (68.3, 80.6) to 75.0 (71.0, 78.9) percentiles in the entire population were found, respectively. Temporal change was significantly heterogeneous across geographical regions (P < 0.001). Temporal increases in MMT were observed in East Asia (linear slope [LS] = 0.91, P = 0.02) and South-East Asia (LS = 0.62, P = 0.05), whereas a temporal decrease in MMT was observed in South Europe (LS = -0.46, P = 0.05). MMTP decreased temporally in North Europe (LS = -3.45, P = 0.02) and South Europe (LS = -2.86, P = 0.05).
Conclusions: The temporal change in MMT or MMTP was largely heterogeneous. Population susceptibility in terms of optimum temperature may have changed under a warming climate, albeit with large region-dependent variations.
{"title":"Temporal change in minimum mortality temperature under changing climate: A multicountry multicommunity observational study spanning 1986-2015.","authors":"Daewon Yang, Masahiro Hashizume, Aurelio Tobías, Yasushi Honda, Dominic Roye, Jaemin Oh, Tran Ngoc Dang, Yoonhee Kim, Rosana Abrutzky, Yuming Guo, Shilu Tong, Micheline de Sousa Zanotti Stagliorio Coelho, Paulo Hilario Nascimento Saldiva, Eric Lavigne, Patricia Matus Correa, Nicolás Valdés Ortega, Samuel Osorio, Jan Kyselý, Aleš Urban, Hans Orru, Ene Indermitte, Jouni Jaakkola, Niilo Ryti, Mathilde Pascal, Veronika Huber, Alexandra Schneider, Klea Katsouyanni, Antonis Analitis, Alireza Entezari, Fatemeh Mayvaneh, Patrick Goodman, Ariana Zeka, Paola Michelozzi, Francesca de'Donato, Barrak Alahmad, Magali Hurtado Diaz, César De la Cruz Valencia, Ala Overcenco, Danny Houthuijs, Caroline Ameling, Shilpa Rao, Baltazar Nunes, Joana Madureira, Iulian Horia Holo-Bâc, Noah Scovronick, Fiorella Acquaotta, Ho Kim, Whanhee Lee, Carmen Íñiguez, Bertil Forsberg, Ana Maria Vicedo-Cabrera, Martina S Ragettli, Yue-Liang Leon Guo, Shih Chun Pan, Shanshan Li, Francesco Sera, Antonella Zanobetti, Joel Schwartz, Ben Armstrong, Antonio Gasparrini, Yeonseung Chung","doi":"10.1097/EE9.0000000000000334","DOIUrl":"10.1097/EE9.0000000000000334","url":null,"abstract":"<p><strong>Background: </strong>The minimum mortality temperature (MMT) or MMT percentile (MMTP) is an indicator of population susceptibility to nonoptimum temperatures. MMT and MMTP change over time; however, the changing directions show region-wide heterogeneity. We examined the heterogeneity of temporal changes in MMT and MMTP across multiple communities and in multiple countries.</p><p><strong>Methods: </strong>Daily time-series data for mortality and ambient mean temperature for 699 communities in 34 countries spanning 1986-2015 were analyzed using a two-stage meta-analysis. First, a quasi-Poisson regression was employed to estimate MMT and MMTP for each community during the designated subperiods. Second, we pooled the community-specific temporally varying estimates using mixed-effects meta-regressions to examine temporal changes in MMT and MMTP in the entire study population, as well as by climate zone, geographical region, and country.</p><p><strong>Results: </strong>Temporal increases in MMT and MMTP from 19.5 °C (17.9, 21.1) to 20.3 °C (18.5, 22.0) and from the 74.5 (68.3, 80.6) to 75.0 (71.0, 78.9) percentiles in the entire population were found, respectively. Temporal change was significantly heterogeneous across geographical regions (<i>P</i> < 0.001). Temporal increases in MMT were observed in East Asia (linear slope [LS] = 0.91, <i>P</i> = 0.02) and South-East Asia (LS = 0.62, <i>P</i> = 0.05), whereas a temporal decrease in MMT was observed in South Europe (LS = -0.46, <i>P</i> = 0.05). MMTP decreased temporally in North Europe (LS = -3.45, <i>P</i> = 0.02) and South Europe (LS = -2.86, <i>P</i> = 0.05).</p><p><strong>Conclusions: </strong>The temporal change in MMT or MMTP was largely heterogeneous. Population susceptibility in terms of optimum temperature may have changed under a warming climate, albeit with large region-dependent variations.</p>","PeriodicalId":11713,"journal":{"name":"Environmental Epidemiology","volume":"8 5","pages":"e334"},"PeriodicalIF":3.3,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11567688/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142647035","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}