Dataset Information

Fine particulate matters: The impact of air quality standards on cardiovascular mortality.

ABSTRACT: BACKGROUND:In 1997 the U.S. Environmental Protection Agency set the first annual National Ambient Air Quality Standard (NAAQS) for fine particulate matter (PM2.5). Although the weight of scientific evidence has determined that a causal relationship exists between PM2.5 exposures and cardiovascular effects, few studies have concluded whether NAAQS-related reductions in PM2.5 led to improvements in public health. METHODS:We examined the change in cardiovascular (CV) mortality rate and the association between change in PM2.5 and change in CV-mortality rate before (2000-2004) and after implementation of the 1997 annual PM2.5 NAAQS (2005-2010) among U.S. counties. We further examined how the association varied with respect to two factors related to NAAQS compliance: attainment status and design values (DV). We used difference-in-differences and linear regression models, adjusted for sociodemographic confounders. FINDINGS:Across 619 counties, there were 1.10 (95% CI: 0.37, 1.82) fewer CV-deaths per year per 100,000 people for each 1µg/m3 decrease in PM2.5. Nonattainment counties had a twofold larger reduction in mean annual PM2.5, 2.1µg/m3, compared to attainment counties, 0.97µg/m3. CV-mortality rate decreased by 0.59 (95% CI: -0.54, 1.71) in nonattainment and 1.96 (95% CI: 0.77, 3.15) deaths per 100,000 people for each 1µg/m3 decrease in PM2.5 in attainment counties. When stratifying counties by DV, results were similar: counties with DV greater than 15µg/m3 experienced the greatest decrease in mean annual PM2.5 (2.29µg/m3) but the smallest decrease in CV-mortality rate per unit decrease in PM2.5, 0.73 (95% CI: -0.57, 2.02). INTERPRETATION:We report a significant association between the change in PM2.5 and the change in CV-mortality rate before and after the implementation of NAAQS and note that the health benefits per 1µg/m3 decrease in PM2.5 persist at levels below the current national standard. FUNDING:US EPA intermural research.

SUBMITTER: Corrigan AE

PROVIDER: S-EPMC6372949 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Fine particulate matters: The impact of air quality standards on cardiovascular mortality.

Corrigan Anne E AE Becker Michelle M MM Neas Lucas M LM Cascio Wayne E WE Rappold Ana G AG

Environmental research 20171201

<h4>Background</h4>In 1997 the U.S. Environmental Protection Agency set the first annual National Ambient Air Quality Standard (NAAQS) for fine particulate matter (PM<sub>2.5</sub>). Although the weight of scientific evidence has determined that a causal relationship exists between PM<sub>2.5</sub> exposures and cardiovascular effects, few studies have concluded whether NAAQS-related reductions in PM<sub>2.5</sub> led to improvements in public health.<h4>Methods</h4>We examined the change in car ...[more]

PMID: 29195185

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Project description:BackgroundEvidence indicates that air pollution contributes to cardiopulmonary mortality. There is ongoing debate regarding the size and shape of the pollution–mortality exposure–response relationship. There are also growing appeals for estimates of pollution–mortality relationships that use public data and are based on large, representative study cohorts.ObjectivesOur goal was to evaluate fine particulate matter air pollution ([Formula: see text]) and mortality using a large cohort that is representative of the U.S. population and is based on public data. Additional objectives included exploring model sensitivity, evaluating relative effects across selected subgroups, and assessing the shape of the [Formula: see text]–mortality relationship.MethodsNational Health Interview Surveys (1986–2014), with mortality linkage through 2015, were used to create a cohort of 1,599,329 U.S. adults and a subcohort with information on smoking and body mass index (BMI) of 635,539 adults. Data were linked with modeled ambient [Formula: see text] at the census-tract level. Cox proportional hazards models were used to estimate [Formula: see text]–mortality hazard ratios for all-cause and specific causes of death while controlling for individual risk factors and regional and urban versus rural differences. Sensitivity and subgroup analyses were conducted and the shape of the [Formula: see text]–mortality relationship was explored.ResultsEstimated mortality hazard ratios, per [Formula: see text] long-term exposure to [Formula: see text], were 1.12 (95% CI: 1.08, 1.15) for all-cause mortality, 1.23 (95% CI: 1.17, 1.29) for cardiopulmonary mortality, and 1.12 (95% CI: 1.00, 1.26) for lung cancer mortality. In general, [Formula: see text]–mortality associations were consistently positive for all-cause and cardiopulmonary mortality across key modeling choices and across subgroups of sex, age, race-ethnicity, income, education levels, and geographic regions.DiscussionThis large, nationwide, representative cohort of U.S. adults provides robust evidence that long-term [Formula: see text] exposure contributes to cardiopulmonary mortality risk. The ubiquitous and involuntary nature of exposures and the broadly observed effects across subpopulations underscore the public health importance of breathing clean air. https://doi.org/10.1289/EHP4438.

Project description:As online learning becomes increasingly popular in higher education, the quality of courses that utilize this modality is becoming a focus of inquiry. Quality Matters (QM) is a leading quality assurance organization that reviews online and hybrid (partially online, partially in-person) courses for standards of pedagogy and instructional design and certifies courses that sufficiently meet these standards. In this study, we examine student perceptions of course quality in a hybrid three-credit-hour animal science course that has been certified by QM. The class met twice a week for 1.25 h with one class period online and one in person. It consisted of 11 modules, each of which included learning content, learning activities, and assessments. Upon completion, 46 of 114 students completed a survey in which they rated the course on each of the 21 QM essential standards (Fifth edition). Descriptive analysis revealed that for 19 of the 21 specific review standards, 75% to 91% of students agreed or strongly agreed that the course reflected the best practice described in the standard. For the other two standards, over half of students (72%, 63%) agreed or strongly agreed that best practices were reflected in course design. Another way to examine the data is to collapse specific review standards into eight general review categories as specified by QM; the collapsed data revealed that 75% to 88% of students agreed or strongly agreed that the course design reflected the eight general course design standards. The percentage of students disagreeing that the course reflected each best practice was 11% or lower. Cronbach analysis to examine the internal consistency of the QM questionnaire (0.96), indicated instrument reliability and stability. A principal component analysis of the data conducted to further examine features and patterns of student responses revealed four primary factors that students rated highly (learning objectives, learner interaction and engagement, accessibility and usability, and clarity) that explained 78% of the data variance. This study demonstrates that the high quality of course design and delivery in a QM-certified course is clear to students. and provides justification for the investment in high-quality online and hybrid course design. In the future, we plan to compare student perceptions of course quality in a course that has not been QM-certified with one that has, as well as the impact of those revisions on student outcomes.

Dataset Information

Fine particulate matters: The impact of air quality standards on cardiovascular mortality.

Publications

Fine particulate matters: The impact of air quality standards on cardiovascular mortality.

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