Environmental public health applications using remotely sensed data

Al‐Hamdan, Mohammad Z.; Crosson, William L.; Estes, Maury; Estes, Sue; Hemmings, Sarah; Limaye, Ashutosh; Luvall, Jeffrey C.; Quattrochi, Dale A.; Rickman, Doug; Wade, Gina

doi:10.1080/10106049.2012.715209

Cited by 61 publications

(53 citation statements)

References 33 publications

(25 reference statements)

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“…These maps could then be combined with heat maps of other risk factors for cardiovascular disease already available, such as ambient air pollution. 18,19 …”

Section: Discussionmentioning

confidence: 99%

Heat Maps of Hypertension, Diabetes Mellitus, and Smoking in the Continental United States

Loop

Howard

Campos

et al. 2017

Circ: Cardiovascular Quality and Outcomes

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Background Geographic variations in cardiovascular mortality are substantial, but descriptions of geographic variations in major cardiovascular risk factors have relied on data aggregated to counties. Herein, we provide the first description of geographic variation in the prevalence of hypertension, diabetes, and smoking within and across US counties. Methods and Results We conducted a cross-sectional analysis of baseline risk factor measurements and latitude/longitude of participant residence collected from 2003 to 2007 in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Of the 30,239 participants, all risk factor measurements and location data were available for 28,887 (96%). The mean (±SD) age of these participants was 64.8(±9.4) years, 41% were black, 55% were female, 59% were hypertensive, 22% were diabetic, and 15% were current smokers. In logistic regression models stratified by race, the median(range) predicted prevalence of the risk factors were: for hypertension, 49% (45 - 58%) among whites and 72% (68 - 78%) among blacks; for diabetes, 14% (10 - 20%) among whites and 31% (28 - 41%) among blacks; and for current smoking, 12% (7 - 16%) among whites and 18% (11 - 22%) among blacks. Hypertension was most prevalent in the central Southeast among whites, but in the west Southeast among blacks. Diabetes was most prevalent in the west and central Southeast among whites but in south Florida among blacks. Current smoking was most prevalent in the west Southeast and Midwest among whites and in the north among blacks. Conclusions Geographic disparities in prevalent hypertension, diabetes, and smoking exist within states and within counties in the continental US, and the patterns differ by race.

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“…These maps could then be combined with heat maps of other risk factors for cardiovascular disease already available, such as ambient air pollution. 18,19 …”

Section: Discussionmentioning

confidence: 99%

Heat Maps of Hypertension, Diabetes Mellitus, and Smoking in the Continental United States

Loop

Howard

Campos

et al. 2017

Circ: Cardiovascular Quality and Outcomes

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“…We obtained data on PM2.5 for years 2003 through 2011 from the US Environmental Protection Agency (EPA) and the National Aeronautics and Space Administration (NASA) by assessing the CDC “wide-ranging online data for epidemiologic research” (Wonder) system [17, 18]. Al-Hamdan et al (2009) generated continuous spatial surfaces of daily PM2.5 for the entire contiguous US for 2003 through 2011 using environmental data from the US EPA and NASA [17]. The daily PM2.5 values were estimated using satellite measurements of aerosol optical depth (AOD) from the moderate-resolution-imaging spectroradiometer (MODIS) instrument on the NASA Terra and Aqua satellites [19].…”

Section: Methodsmentioning

confidence: 99%

Pollution and regional variations of lung cancer mortality in the United States

Moore

Akinyemiju

Wang

2017

Cancer Epidemiology

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Introduction The aims of this study were to identify counties in the United States (US) with high rates of lung cancer mortality, and to characterize the associated community-level factors while focusing on particulate-matter pollution. Methods We performed a descriptive analysis of lung cancer deaths in the US from 2004 through 2014. We categorized counties as “clustered” or “non-clustered” – based on whether or not they had high lung cancer mortality rates – using novel geospatial autocorrelation methods. We contrasted community characteristics between cluster categories. We performed logistic regression for the association between cluster category and particulate-matter pollution. Results Among 362 counties (11.6%) categorized as clustered, the age-adjusted lung cancer mortality rate was 99.70 deaths per 100,000 (95%CI: 99.1–100.3). Compared with non-clustered counties, clustered counties were more likely in the south (72.9% versus 42.1%, P < 0.01) and in non-urban communities (73.2% versus 57.4, P < 0.01). Clustered counties had greater particulate-matter pollution, lower education and income, higher rates of obesity and physical inactivity, less access to healthcare, and greater unemployment rates (P < 0.01). Higher levels of particulate-matter pollution (4th quartile versus 1st quartile) were associated with two-fold greater odds of being a clustered county (adjusted OR: 2.10; 95%CI: 1.23–3.59). Conclusion We observed a belt of counties with high lung mortality ranging from eastern Oklahoma through central Appalachia; these counties were characterized by higher pollution, a more rural population, lower socioeconomic status and poorer access to healthcare. To mitigate the burden of lung cancer mortality in the US, both urban and rural areas should consider minimizing air pollution.

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“…Short-term PM 2.5 exposure was computed as the 2-week average value prior to the baseline visit, and long-term exposure was computed as the 1-year average value prior to the baseline visit. Details of the methods used to compute PM 2.5 exposure and linkage with REGARDS participants have been reported (Al-Hamdan et al, 2014; Al-Hamdan et al, 2009). …”

Section: Methodsmentioning

confidence: 99%

Fine particulate air pollution and premature ventricular contractions: The REasons for Geographic And Racial Differences in Stroke (REGARDS) Study

O’Neal

Soliman

Efird

et al. 2017

Environmental Research

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Background It is unknown if higher levels of ambient particulate matter (PM) exposure increase the risk for premature ventricular contractions (PVC) in a population-based study of men and women, and if this relationship varies by race or sex. Methods We examined the association of PM <2.5 micrometers in diameter (PM2.5) concentration with PVCs in 26,121 (mean age=64 ± 9.3 years; 55% female; 41% black) participants from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Estimates of short- (2-week) and long-term (1-year) PM2.5 exposures were computed prior to the baseline visit using geographic information system data on the individual level at the coordinates of study participants’ residences. PVCs were identified from baseline electrocardiograms. Results PVCs were detected in 1,719 (6.6%) study participants. Short- (OR=1.08, 95%CI=1.03, 1.14) and long- (OR=1.06, 95%CI=1.01, 1.12) term PM2.5 exposures were associated with PVCs. Interactions were not detected by race or sex. An interaction between short-term PM2.5 exposure and PVCs was detected for those with cardiovascular disease (OR=1.16, 95%CI=1.06, 1.27) compared with those without cardiovascular disease (OR=1.05, 95%CI=0.99, 1.12; p-interaction=0.027). Conclusion Our findings suggest that PM2.5 exposure is associated with an increased risk for PVCs in a biracial population-based study of men and women. We also have identified persons with cardiovascular disease as an at-risk population for PVCs when increases in short-term PM2.5 concentration occur.

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Environmental public health applications using remotely sensed data

Cited by 61 publications

References 33 publications

Heat Maps of Hypertension, Diabetes Mellitus, and Smoking in the Continental United States

Heat Maps of Hypertension, Diabetes Mellitus, and Smoking in the Continental United States

Pollution and regional variations of lung cancer mortality in the United States

Fine particulate air pollution and premature ventricular contractions: The REasons for Geographic And Racial Differences in Stroke (REGARDS) Study

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