Traffic-related air pollution has been associated with adverse cardiovascular health effects in near-road residents. Transportation parameters are important surrogate variables to determine spatial variation of air pollution and consequential health outcomes. We used land-use regression models to explore associations between cardiovascular (metabolic syndrome [MetS]) health outcomes collected from a sample of low-income participants (N = 4,959) and transportation parameters within a defined impact zone of a participant’s residence. We hypothesize cardiovascular risk factors are associated with spatially distributed transportation parameters and land-use data. MetS risk factors (waist circumference, blood pressure, triglycerides, HDL-cholesterol, and glucose) were obtained from 4,945 participants between 2014 and 2020 across the city of El Paso, Texas. Traffic-related and land-use variables were acquired from the El Paso MPO and the U.S. Census Bureau within two impact zones of 500 m and 1,000 m radius, centered at each participant resident’s home latitude and longitude coordinates using GIS. The increase in street length within 500 m radius was found to associate with increases in BMI, waist circumference, triglycerides, and glucose (p < 0.05). Glucose showed positive relationships with inverse distance to the nearest international ports of entry (p = 0.02). Also, as the total length of the street increases, the likelihood of a high waist (p < 0.01), high triglycerides (p = 0.03), and low HDL-cholesterol (p < 0.01) also increased. Based on a multivariable regression model, a probability surface map was prepared to show the spatial distribution of likelihood for acquiring MetS in El Paso, TX.

Stress is widely known to have debilitating effects on physical health and mental wellbeing, particularly on one’s coping styles, personality traits, and outlook on life. Cumulative and chronic stress, which can serve as a triggering or aggravating factor for many pathological disorders if left unaddressed, has been linked to many life-threatening diseases. While many studies have looked at how optimism and pessimism are used as a form of coping mechanism, few have examined how different bio-psycho-social reactions to stress shape the level of optimism and pessimism. Using a sample of adult individuals aged 18 and older in the United States (n = 3361), this study addressed the following research questions: (1) What types of stress are predictive of optimism and pessimism? (2) Which responses to stress and coping mechanisms are most predictive of optimism and pessimism? (3) Do optimism and pessimism share the same stress-related risk and protective factors? Overall, this study found that while optimism and pessimism share conceptual similarities, they are not necessarily influenced by the same stress mechanisms. Stress, whether personal or financial, was associated with a negative outlook on life. This study showed that having good sleep quality and a lower number of psychological stress symptoms was linked to increasing optimism and reducing pessimism, while overeating or eating unhealthily was connected to both optimism and pessimism. Additionally, this study found that exercise/walking and emotional support mediated the effects of the responses to stress on the respondents’ level of optimism and pessimism.

Exposure to traffic-related air pollution is not merely linked to respiratory health issues but also poses significant risks to cardiovascular well-being. Individuals from lower-income communities residing in high-pollution zones are particularly vulnerable to adverse cardiorespiratory health impacts. Pollutants such as fine particulate matter (PM_2.5 and PM₁₀), nitrogen dioxide (NO₂), and ozone (O₃) are recognized as a leading, yet preventable, contributor to cardiorespiratory diseases. Although research has extensively explored the short-term impact of these pollutants on respiratory health, the immediate effects on cardiovascular outcomes require further study. We explored associations of traffic-related air pollutants with airway inflammation, lung function, and cardiovascular health outcomes (metabolic syndrome [MetS]) collected from a sample of low-income participants (N = 662) from a US–Mexico border county. Airway inflammation was measured using exhaled nitric oxide tests (eNO), while lung function parameters were measured by spirometry. MetS risk factors (waist circumference, blood pressure, triglycerides, HDL, and fasting blood glucose) were also measured. While spirometry measures were negatively associated with air pollutants (p < 0.05), no associations were noted for eNO. We also found positive associations in linear and logistic models between air pollutants and obesity (BMI: p < 0.04; waist: p < 0.03), fasting blood glucose (p < 0.03), and metabolic syndrome (p < 0.04). These findings reaffirm the immediate adverse effects of air pollution on respiratory function and shed light on its broader metabolic consequences. Environmental and neighborhood conditions could potentially influence the associations with obesity. At the same time, the links between fasting glucose and metabolic syndrome might indicate underlying oxidative stress and systemic inflammation.