Air Pollution and Temperature: a Systematic Review of Ubiquitous Environmental Exposures and Sudden Cardiac Death.

PURPOSE OF REVIEW: Environmental exposures have been associated with increased risk of cardiovascular mortality and acute coronary events, but their relationship with out-of-hospital cardiac arrest (OHCA) and sudden cardiac death (SCD) remains unclear. SCD is an important contributor to the global burden of cardiovascular disease worldwide. RECENT FINDINGS: Current literature suggests a relationship between environmental exposures and cardiovascular disease, but their relationship with OHCA/SCD remains unclear. A literature search was conducted in PubMed, Embase, Web of Science, and Global Health. Of 5138 studies identified by our literature search, this review included 30 studies on air pollution, 42 studies on temperature, 6 studies on both air pollution and temperature, and 1 study on altitude exposure and OHCA/SCD. Particulate matter air pollution, ozone, and both hot and cold temperatures are associated with increased risk of OHCA/SCD. Pollution and other exposures related to climate change play an important role in OHCA/SCD incidence.

Disparities in joint exposure to environmental and social stressors in urban households in Greater Boston.

OBJECTIVES: Understanding how environmental and social stressors cluster is critical to explaining and addressing health disparities. It remains unclear how these stressors cluster at fine spatial resolution in low to medium-income, urban households. We explored patterns of environmental and social exposures at the household-level and potential predictors of these joint exposures in two environmental justice communities in the Greater Boston area. METHODS: We recruited 150 households in Chelsea, MA and the Dorchester neighborhood of Boston, MA, between 2016 and 2019 and collected data on two domains: environmental and social stressor. For each domain, we fit Latent Class Analysis (LCA) models to exposure data to assess intra-domain variability, and cross-classified the resultant classes to identify joint exposure profiles. We compared differences in the distribution of these profiles by participants' demographic and household characteristics using χ2, Fisher's exact, Analysis of Variance, and Kruskal-Wallis tests. RESULTS: We identified two latent classes in each domain: High environmental (n = 90; 60.4%), Low environmental (n = 59; 39.6%), High Social (n = 31; 20.8%), and Low Social (n = 118; 79.2%). Cross-classification yielded four joint exposure profiles: Both Low (n = 46, 30.9%); Both High (n = 18, 12.1%); High environmental-Low Social (n = 72, 48.3%); and Low environmental-High Social (n = 13, 8.7%). Significant group differences were found by housing type (e.g., single-family vs. multi-family) (Fisher's exact p = 0.0016), housing tenure (p = 0.0007), and study site (p < 0.0001). We also observed differences by race/ethnicity, income, and education: households that were Hispanic/Latinx, below the poverty level, and with lower education were more likely to be in the Both High group. CONCLUSIONS: Our analyses confirmed that environmental and social stressors cluster in socially disadvantaged households. Housing type, housing tenure, and location of the residence were also strong predictors of cluster membership, with renter and multi-family residents at risk of high exposures to environmental and social stressors.

Clinician Satisfaction and Self-Efficacy With CenteringParenting Group Well-Child Care Model: A Pilot Study.

Introduction: Group-based models for well-child care have been shown to positively affect patient experience. One promising group well-child care model is CenteringParenting. However, clinician self-efficacy with delivery of the model is unknown and clinician satisfaction with the model has been understudied. Objectives: To investigate sense of self-efficacy, degree of satisfaction, and comfort with trauma-informed care (TIC) among diverse clinical providers implementing the CenteringParenting curriculum. We also examined the relationship between self-efficacy, satisfaction, and comfort with TIC, and delivery of the model. Methods: Electronic surveys were sent to CenteringParenting providers (N = 98) from 49 clinics. Providers (N = 41) from 24 clinical sites completed the survey, corresponding to a 42% individual and 49% site response rate. Surveys explored provider: satisfaction with the curriculum, perceived self-efficacy, and perspective on competency with TIC. Results: Providers indicated that the CenteringParenting model achieves each of its four objectives (means ranged from 4.10 to 4.52 for each objective, with 5 being the highest possible response). Providers rated their level of satisfaction (scale of 1 [unsatisfied] to 5 [very satisfied]) with their ability to address patient concerns higher with CenteringParenting in the group care setting (mean = 4.10) than in the individual care setting (mean = 3.55). Respondents demonstrated a high mean average Self-Efficacy in Group Care score of 93.63 (out of 110). Unadjusted logistical regression analyses demonstrated that higher provider Self-Efficacy in Group Care score (odds ratio [OR] = 1.08) and higher comfort with TIC (OR = 22.16) is associated with curriculum content being discussed with a facilitative approach. Conclusions: Providers from diverse clinical sites report high satisfaction with and self-efficacy in implementing the CenteringParenting model.

Sensitivity of projected PM2.5- and O3-related health impacts to model inputs: A case study in mainland China.

In China, fine particulate matter (PM2.5) and ground-level ozone (O3) are anticipated to continuously affect large populations in the coming decades. Simulations of the levels of these pollutants largely depend on emissions inputs, which are highly uncertain both in magnitude and spatial distribution. Our goal was to explore sensitivities of projected changes in PM2.5- and O3-related short-term health impacts in mainland China to emissions and other model inputs. We simulated winter PM2.5 and summer O3 concentrations using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) for both 2008 and 2050. We used three emission inventories in 2008 and four emissions scenarios in 2050. The resulting air pollutant concentrations were combined with eight population projections and three concentration-response functions (CRFs) to estimate future PM2.5- and O3-related health impacts including total, cardiovascular, and respiratory mortalities in mainland China. Multivariate analysis of variance was used to apportion the uncertainty due to different model parameters. Combinations of different parameters produced a wide range of national PM2.5- and O3-related mortalities. CRFs and present emissions each contribute 38%-56% and 20%-28% of the total sum of squares for PM2.5-related mortalities. Future emissions are the largest source of uncertainty in O3-related mortality estimates, contributing 24%-48% of total sum of squares. Our results suggest that conducting more epidemiological studies and constraining the present day emissions are essential for projecting future air pollutant-related health impacts in mainland China.