Long-and Short-Term Exposure To Air Pollution and Inflammatory/Hemostatic Markers in Midlife Women

Green, Rochelle; Broadwin, Rachel; Malig, Brian; Basu, Rupa; Gold, Ellen B.; Qi, Lihong; Sternfeld, Barbara; Bromberger, Joyce T.; Greendale, Gail A.; Kravitz, Howard M.; Tomey, Kristin; Matthews, Karen A.; Derby, Carol A.; Jackson, Elizabeth A.; Green, Robin; Ostro, Bart

doi:10.1097/ede.0000000000000421

Cited by 47 publications

(57 citation statements)

References 43 publications

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“…The study design and recruitment of participants for the SWAN cohort has been described in detail previously (Green et al, 2016). Six of the seven clinical SWAN sites participated in this specific study of temperature specifically: Chicago, Illinois; Detroit, Michigan; Los Angeles, California; Newark, New Jersey; Oakland, California; and Pittsburgh, Pennsylvania.…”

Section: Methodsmentioning

confidence: 99%

Estimating the associations of apparent temperature and inflammatory, hemostatic, and lipid markers in a cohort of midlife women

Basu

Malig

et al. 2017

Environmental Research

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Associations between temperature and cardiovascular (CVD) mortality have been reported, but the underlying biological mechanisms remain uncertain. We explored the association between apparent temperature and serum biomarkers for CVD. Using linear mixed effects models, we examined the relationships between residence-proximate apparent temperature (same day and 1, 7, and 30 days prior) and several inflammatory, hemostatic, and lipid biomarkers for midlife women from 1999 through 2004. Our study population consisted of 2,306 women with mean age of 51 years (±3 years) enrolled in Study of Women’s Health Across the Nation (SWAN) in Chicago, Illinois; Detroit, Michigan; Los Angeles and Oakland, California; Newark, New Jersey; and Pittsburgh, Pennsylvania. Mean daily apparent temperature was calculated using temperature and relative humidity data provided by the National Climatic Data Center and the US Environmental Protection Agency, while daily data for fine particles, ozone, carbon monoxide, and nitrogen dioxide from the US Environmental Protection Agency Air Quality Data Mart were considered as confounders. All analyses were stratified by warm and cold seasons. More significant (p < 0.10) negative associations were found during the warm season for various lag times, including hs-CRP, fibrinogen, tissue plasminogen activator antigen (tPA-ag), tissue plasminogen activator antigen (PAI-1), high-density lipoprotein (HDL), and total cholesterol. During the cold season, significant negative associations for fibrinogen and HDL, but significant positive associations for tPA-ag, PAI-1, and triglycerides were observed for various lag times. Pollutants did not confound these associations. Apparent temperature was associated with several serum biomarkers of CVD risk in midlife women, shedding light on potential mechanisms.

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Section: Methodsmentioning

confidence: 99%

Estimating the associations of apparent temperature and inflammatory, hemostatic, and lipid markers in a cohort of midlife women

Basu

Malig

et al. 2017

Environmental Research

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“…If a participant moved (~13% of all women) during the year prior to her visit, exposure data from multiple addresses were weighted based on the time of move when assigning exposure, or evenly weighted if the move date was not available. More details about exposure assignment can be found in Green et al (2016).…”

Section: Methodsmentioning

confidence: 99%

“…Blood was drawn at each SWAN clinic visit and assayed for CVD markers as described previously (Green et al 2016; Thurston et al 2012). Inflammatory/hemostatic markers examined in this study included high-sensitivity C-reactive protein (hs-CRP), fibrinogen, factor VII coagulant (factor VIIc), tissue-type plasminogen activator antigen (tPA-ag), and plasminogen activator inhibitor Type 1 (PAI-1).…”

Section: Methodsmentioning

confidence: 99%

“…Using the same data set, Green et al (2016) reported that PM 2.5 exposure was associated with levels of hs-CRP, fibrinogen, tPA-ag, and PAI-1. Therefore, we further estimated the associations between each gas exposure and CVD markers adjusting for PM 2.5 exposure in the same time window (except for one-week window, one-week average PM 2.5 exposure was not calculated given the PM 2.5 measurement interval, one-month average PM 2.5 exposure was used as a substitute).…”

Section: Methodsmentioning

confidence: 99%

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Association between gaseous air pollutants and inflammatory, hemostatic and lipid markers in a cohort of midlife women

Basu

Malig

et al. 2017

Environment International

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BACKGROUND Exposures to ambient gaseous pollutants have been linked to cardiovascular diseases (CVDs), but the biological mechanisms remain uncertain. OBJECTIVES This study examined the changes in CVD marker levels resulting from elevated exposure to ambient gaseous pollutants in midlife women. METHODS Annual repeated measurements of several inflammatory, hemostatic and lipid makers were obtained from 2,306 midlife women enrolled in the longitudinal Study of Women’s Health Across the Nation (SWAN) between 1999 and 2004. Ambient carbon monoxide (CO), nitrogen dioxide (NO2), and sulfur dioxide (SO2) data were assigned to each woman based on proximity of the monitoring station to her residential address. Short- and long-term exposures were calculated, and their associations with markers were examined using linear mixed-effects regression models, adjusted for demographic, health and other factors. RESULTS Short-term CO exposure was associated with increased fibrinogen, i.e., every interquartile increase of average prior one-week exposure to CO was associated with 1.3% (95% CI: 0.6%, 2.0%) increase in fibrinogen. Long-term exposures to NO2 and SO2 were associated with reduced high-density lipoproteins and apolipoprotein A1, e.g., 4.0% (1.7%, 6.3%) and 4.7% (2.8%, 6.6%) decrease per interquartile increment in prior one-year average NO2 concentration, respectively. Fine particle (PM2.5) exposure confounded associations between CO/NO2 and inflammatory/hemostatic markers, while associations with lipoproteins were generally robust to PM2.5 adjustment. CONCLUSIONS Exposures to these gas pollutants at current ambient levels may increase thrombotic potential and disrupt cholesterol metabolism, contributing to greater risk of CVDs in midlife women. Caution should be exercised in evaluating the confounding by PM2.5 exposure.

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“…They estimated a hazard ratio of 1.08 for dementia, 1.15 for Alzheimer disease, and 1.08 for Parkinson disease admissions per 1 3 increase in annual PM2.5 concentrations. Likewise, Extensive studies have been carried out worldwide for assessing the levels of PM exposure and its associated health impacts (Crouse et al, 2015;Zanobetti et al ,2015;Green et al, 2015;Chung et al, 2015;Hart et al, 2015;Huang et al,(2015) ; Bell et al, 2015). However, limited studies have been reported in India due to lack of PM2.5 data.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of coarse and fine particles in diverse Indian environments

George

Patil

Anil

et al. 2016

Environ Sci Pollut Res

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The estimates of airborne fine particles (PM2.5) concentrations are possible through rigorous empirical correlations based on the monitored PM10 data. However, such correlations change depending on the nature of sources in diverse ambient environments and, therefore, have to be environment specific. Studies presenting such correlations are limited but needed, especially for those areas, where PM2.5 is not routinely monitored. Moreover, there are a number of studies focusing on urban environments but very limited for coal mines and coastal areas. The aim of this study is to comprehensively analyze the concentrations of both PM10 and PM2.5 and develop empirical correlations between them. Data from 26 different sites spread over three distinct environments, which are a relatively clean coastal area, two coal mining areas, and a highly urbanized area in Delhi were used for the study. Distributions of PM in the 0.43-10 µm size range were measured using eight stage cascade impactors. Regression analysis was used to estimate the percentage of PM2.5 in PM10 across distinct environments for source identification. Relatively low percentage of PM2.5 concentrations (21, 28 and 32 %) in PM10 were found in clean coastal and two mining areas respectively. Percentage of PM2.5 concentrations in PM10 in the highly urbanized area of Delhi was 51%, indicating a presence of a much higher percentage of fine particles due to vehicular combustion in Delhi. The findings of this work is important in estimating concentrations of much harmful fine particles from coarse particles across distinct environments. The results are also useful in source identification of particulates as differences in the percentage of PM2.5 concentrations in PM10 can be attributed to characteristics of sources in the diverse ambient environments.

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Long-and Short-Term Exposure To Air Pollution and Inflammatory/Hemostatic Markers in Midlife Women

Cited by 47 publications

References 43 publications

Estimating the associations of apparent temperature and inflammatory, hemostatic, and lipid markers in a cohort of midlife women

Estimating the associations of apparent temperature and inflammatory, hemostatic, and lipid markers in a cohort of midlife women

Association between gaseous air pollutants and inflammatory, hemostatic and lipid markers in a cohort of midlife women

Evaluation of coarse and fine particles in diverse Indian environments

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