Effects of air pollution on health: A mapping review of systematic reviews and meta-analyses

Dominski, Fábio Hech; Branco, Joaquim Henrique Lorenzetti; Buonanno, Giorgio; Stabile, Luca; Silva, Manuel Gameiro da; Andrade, Alexandro

doi:10.1016/j.envres.2021.111487

Cited by 184 publications

(84 citation statements)

References 79 publications

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“…Whereas several studies have examined to what extent self-reported air pollution annoyance could be used as a proxy to assess ambient air pollution exposure, to date no studies have explored the possibility to valorize other self-reported variables collected in population surveys to assess individual long term exposure to air pollution. In the latter, air pollution exposure has been associated with several factors such as health status, socio-economic status and urban level; those factors could have a higher predictive power compared to air pollution annoyance to assess individual air pollution exposure (Dominski et al, 2021;Fairburn et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Validity of self-reported air pollution annoyance to assess long-term exposure to air pollutants in Belgium

Pelgrims

Devleesschauwer

Keune

et al. 2022

Environmental Research

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Section: Introductionmentioning

confidence: 99%

Validity of self-reported air pollution annoyance to assess long-term exposure to air pollutants in Belgium

Pelgrims

Devleesschauwer

Keune

et al. 2022

Environmental Research

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“…Simply being “in nature” can reduce stress and lead to lower blood pressure, anxiety, depression, and risk of poor health outcomes [ 29 , 30 , 31 ]. In turn, residing in places with high air pollution or near large agricultural farms can lead to health issues [ 32 , 33 ]. There is also a budding literature on geographical psychology focusing on how individual psychological characteristics interact with the local environment and ultimately affect health [ 34 , 35 , 36 ].…”

Section: Discussionmentioning

confidence: 99%

Nonlinear Relationships among the Natural Environment, Health, and Sociodemographic Characteristics across US Counties

Bonnell

Littenberg

2022

IJERPH

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Background: The aim of this study was to explore the nonlinear relationships between natural amenities and health at the intersection of sociodemographic characteristics among primary care patients with chronic conditions. Methods: We used survey data from 3409 adults across 119 US counties. PROMIS-29 mental and physical health summary scores were the primary outcomes. The natural environment (measured using the County USDA Natural Amenities Scale (NAS)) was the primary predictor. Piecewise spline regression models were used to explore the relationships between NAS and health at the intersection of sociodemographic factors. Results: We identified a nonlinear relationship between NAS and health. Low-income individuals had a negative association with health with each increase in NAS in high-amenity areas only. However, White individuals had a stronger association with health with each increase in NAS in low-amenity areas. Conclusions: In areas with low natural amenities, more amenities are associated with better physical and mental health, but only for advantaged populations. Meanwhile, for disadvantaged populations, an increase in amenities in high-amenity areas is associated with decreases in mental and physical health. Understanding how traditionally advantaged populations utilize the natural environment could provide insight into the mechanisms driving these disparities.

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“…In [24], a review of several studies is conducted regarding the effects of air pollution on health. Since 2014, there has been an increase in publications regarding this topic and most studies support the association between air pollution and hazardous health effects.…”

Section: Related Workmentioning

confidence: 99%

Smart Thermostats for a Campus Microgrid: Demand Control and Improving Air Quality

et al. 2022

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Achieving nearly zero-energy buildings (nZEB) is one of the main objectives defined by the European Union for achieving carbon neutrality in buildings. nZEBs are heavily reliant on distributed renewable generation energy sources, which create new challenges associated with their inherent intermittency. To achieve nZEB levels, demand management plays an essential role to balance supply and demand. Since up to two-thirds of the total consumed energy in buildings is dispended for Heating, Ventilation and Air Conditioning (HVAC) operations, intelligent control of HVAC loads is of utmost importance. The present work aims to offer a solution to improve a building microgrids’ flexibility by shifting thermal loads and taking advantage of room thermal inertia. Innovation is present in using the internet of things to link several decentralized local microcontrollers with the microgrid and in the applicability of different control algorithms, such as the pre-emptive heating/cooling of a room. The developed solution relies on smart thermostats, which can be integrated into a building management system, or in a microgrid, and are capable of fulfilling the occupants’ need for comfort while complementing the building with needed power flexibility. The equipment is capable of controlling several HVAC systems to guarantee thermal and air quality comfort, as well as coordinate with a building/microgrid operator to reduce energy costs by shifting thermal loads and enacting demand control strategies. The smart thermostat uses an algorithm to calculate room inertia and to pre-emptively heat/cool a room to the desired temperature, avoiding peak hours, taking advantage of variable tariffs for electricity, or periods of solar generation surplus. The smart thermostat was integrated into a university campus microgrid and tested in live classrooms. Since the work was developed during the COVID-19 pandemic, special attention was given to the air quality features. Results show that smart HVAC control is a viable way to provide occupant comfort, as well as contribute to the integration of renewable generation and increase energy efficiency in buildings and microgrids.

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Effects of air pollution on health: A mapping review of systematic reviews and meta-analyses

Cited by 184 publications

References 79 publications

Validity of self-reported air pollution annoyance to assess long-term exposure to air pollutants in Belgium

Validity of self-reported air pollution annoyance to assess long-term exposure to air pollutants in Belgium

Nonlinear Relationships among the Natural Environment, Health, and Sociodemographic Characteristics across US Counties

Smart Thermostats for a Campus Microgrid: Demand Control and Improving Air Quality

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