Physical Activity and Air Pollution Exposures in the Urban Environment

Paulin, Laura M.; Hansel, Nadia N.

doi:10.1164/rccm.201604-0889ed

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Whether the health benefits of PA are moderated by long-term exposure to air pollution remains in dispute. Notably, a few studies found significant interactions between air pollution and PA, including evidence that air pollution counteracted the benefits of PA on asthma [ 40 ] and stroke [ 41 ]. In contrast, several studies revealed no significant interactions between PA and long-term exposure to air pollution on lung function/respiratory diseases [ 42 , 43 ], hypertension [ 24 ], myocardial infarction [ 44 ], and mortality [ 45 ].…”

Section: Discussionmentioning

confidence: 99%

Association of physical activity and air pollution exposure with the risk of type 2 diabetes: a large population-based prospective cohort study

Zhong

Zhang

et al. 2022

Environ Health

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Background The interplay between physical activity (PA) and air pollution in relation to type 2 diabetes (T2D) remains largely unknown. Based on a large population-based cohort study, this study aimed to examine whether the benefits of PA with respect to the risk of T2D are moderated by exposure to air pollution. Methods UK Biobank participants (n = 359,153) without diabetes at baseline were included. Information on PA was obtained using the International Physical Activity Questionnaire short form. Exposure to air pollution, including PM2.5, PMcoarse (PM2.5−10), PM10, and NO2, was estimated from land use regression models. Cox regression models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (95% CIs). Results During a median of 8.9 years of follow-up, 13,706 T2D events were recorded. Compared with a low PA level, the HRs for the risk of T2D among individuals with moderate and high PA were 0.82 (95% CI, 0.79–0.86) and 0.73 (95% CI, 0.70–0.77), respectively. Compared with low levels of air pollution, the HRs for risk of T2D for high levels of air pollution (PM2.5, PMcoarse, PM10, and NO2) were 1.19 (1.14–1.24), 1.06 (1.02–1.11), 1.13 (1.08–1.18), and 1.19 (1.14–1.24), respectively. There was no effect modification of the associations between PA and T2D by air pollution (all P-interactions > 0.05). The inverse associations between PA and T2D in each air pollution stratum were generally consistent (all P for trend < 0.05). Conclusion A higher PA and lower air pollution level were independently associated with a lower risk of T2D. The beneficial effects of PA on T2D generally remained stable among participants exposed to different levels of air pollution. Further studies are needed to replicate our findings in moderately and severely polluted areas.

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Section: Discussionmentioning

confidence: 99%

Association of physical activity and air pollution exposure with the risk of type 2 diabetes: a large population-based prospective cohort study

Zhong

Zhang

et al. 2022

Environ Health

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“…It is likely that the impending increase in air pollution and urban overheating in many cities around the globe will discourage outdoor physical activity and therefore impact the health of individuals (Chan and Ryan, 2009;Paulin and Hansel, 2016;Nazarian et al, 2021b;Romanello et al, 2021). Generic recommendations and guidelines have been developed to address these concerns, but given the fact that environmental health impacts vary greatly for individuals, the adoption of general guidelines often does not optimize the health and performance of every individual and even can at times induce negative health implications (Tan et al, 2015).…”

Section: Physiological and Health Monitoringmentioning

confidence: 99%

Transformational IoT sensing for air pollution and thermal exposures

Pantelic

Nazarian

Miller

et al. 2022

Front. Built Environ.

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Cities today encounter significant challenges pertaining to urbanization and population growth, resource availability, and climate change. Concurrently, unparalleled datasets are generated through Internet of Things (IoT) sensing implemented at urban, building, and personal scales that serve as a potential tool for understanding and overcoming these issues. Focusing on air pollution and thermal exposure challenges in cities, we reviewed and summarized the literature on IoT environmental sensing on urban, building, and human scales, presenting the first integrated assessment of IoT solutions from the data convergence perspective on all three scales. We identified that there is a lack of guidance on what to measure, where to measure, how frequently to measure, and standards for the acceptable measurement quality on all scales of application. The current literature review identified a significant disconnect between applications on each scale. Currently, the research primarily considers urban, building, and personal scale in isolation, leading to significant data underutilization. We addressed the scientific and technological challenges and opportunities related to data convergence across scales and detailed future directions of IoT sensing along with short- and long-term research and engineering needs. IoT application on a personal scale and integration of information on all scales opens up the possibility of developing personal thermal comfort and exposure models. The development of personal models is a vital promising area that offers significant advancements in understanding the relationship between environment and people that requires significant further research.

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