Impact of ambient air pollution on physical activity among adults: a systematic review and meta-analysis

An, Ruopeng; Zhang, Sheng; Ji, Mengmeng; Guan, Chenghua

doi:10.1177/1757913917726567

Cited by 130 publications

(72 citation statements)

References 32 publications

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“…Many studies find that people are likely to stay indoors in response to elevated air pollution levels (Neidell, 2009), reduce physical activities, and increase sedentary behaviors such as sitting, reclining, and lying (Jerrett et al, 2010;McConnell et al, 2014;Li et al, 2015;An et al, 2018b). These behaviors may reduce the net calories expended and increase body weight and obesity risk (WHO, 2018a).…”

Section: Mechanismsmentioning

confidence: 99%

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The effect of air pollution on body weight and obesity: Evidence from China

Deschênes

Wang

et al. 2020

Journal of Development Economics

127

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte.We provide the first study estimating the causal effect of air pollution on body weight.Using the China Health and Nutrition Survey, which provides detailed longitudinal health and socioeconomic information for 13,226 adult individuals over 1989-2011, we find significant positive effects of air pollution, instrumented by thermal inversions, on body mass index (BMI). Specifically, a 1 μg/m3 (1.59%) increase in average PM2.5 concentrations in the past 12 months increases BMI by 0.31%, and further increases the overweight and obesity rates by 0.89 and 0.19 percentage points, respectively. Our paper identifies a new cause of obesity, and sheds new light on the morbidity cost of air pollution. JEL Classification:I12, I15, Q53

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Section: Mechanismsmentioning

confidence: 99%

“…Thermal inversions occur when the temperature in the upper atmospheric layer is higher than that of the lower layer, thereby trapping air pollution near the surface. The formation of thermal See the review in An et al (2018b). 4 See detailed discussion in Section 2.…”

Section: Introductionmentioning

confidence: 99%

The effect of air pollution on body weight and obesity: Evidence from China

Deschênes

Wang

et al. 2020

Journal of Development Economics

127

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“…Next, while the adverse consequences of air pollution on population health have been frequently reported [15], its effect on child physical activity is largely unknown, especially in a European context [16]. Exploring this association is crucial, as UK research highlights that children walking to school are exposed to higher pollution levels than passive commuters [17].…”

Section: Active Commuting and The Built Environmentmentioning

confidence: 99%

Associations of the objective built environment along the route to school with children’s modes of commuting: A multilevel modelling analysis (the SLIC study)

Bosch

Wells

Lum³

et al. 2020

PLoS ONE

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As active commuting levels continue to decline among primary schoolchildren, evidence about which built environmental characteristics influence walking or cycling to school remains inconclusive and is strongly context-dependent. This study aimed to identify the objective built environmental drivers of, and barriers to, active commuting to school for a multi-ethnic sample of 1,889 healthy primary schoolchildren (aged 5-11) in London, UK. Using cross-sectional multilevel ordered logistic regression modelling, supported by the spatial exploration of built environmental characteristics through cartography, the objective built environment was shown to be strongly implicated in children's commuting behaviour. In line with earlier research, proximity to school emerged as the prime variable associated with the choice for active commuting. However, other elements of the urban form were also significantly associated with children's use of active or passive modes of transport. High levels of accidents, crime and air pollution along the route to school were independently correlated with a lower likelihood of children walking or cycling to school. Higher average and minimum walkability and higher average densities of convenience stores along the way were independently linked to higher odds of active commuting. The significance of the relations for crime, air pollution and walkability disappeared in the fully-adjusted model including all built environmental variables. In contrast, relationships with proximity, traffic danger and the food environment were maintained in this comprehensive model. Black children, pupils with obesity, younger participants and those from high socioeconomic families were less likely to actively commute to school. There is thus a particular need to ensure that roads with high volumes of actively commuting children are kept safe and clean, and children's exposure to unhealthy food options along the way is limited. Moreover, as short commuting distances are strongly correlated with walking or cycling, providing high-quality education near residential areas might incite active transport to school.

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“…Many health studies have connected adverse health effects with spending significant amounts of time near high-traffic roads with elevated air pollution levels [9] [10] [11] [12]. Otherwise, green spaces are reported to improve health status once people use public areas to perform physical activity and have a leisure time, which serves as a key strategy to maintain and improve population health [13]. Although, in an urban scenario, most of these areas are located near air pollutants sources, as vehicle fleet [14].…”

mentioning

confidence: 99%

Seasonal Influence in Traffic-Related Air Pollutants Concentrations in Urban Parks from Porto Alegre, Brazil

Marmett¹,

Carvalho²,

Rhoden³

et al. 2019

OJAP

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Traffic-related air pollution is an alarming source of pollutants exposure and consequently to the development of several adverse health effects. Otherwise, green spaces are reported to improve health status. Although, in an urban scenario most of these areas are located near air pollutants sources, as vehicle fleet. Thus, the aim of the present study was to determine, during one year, the levels of nitrogen dioxide (NO 2) and ozone (O 3) in the main parks from Porto Alegre-Brazil. This study focused on three urban parks: Germânia, Moinhos de Vento and Marinha do Brasil Park. Nitrogen dioxide and ozone measurements were accessed by passive monitoring in four campaigns including all seasons and performed at distances of 0 m, 15 m, 30 m, 45 m, 60 m and 75 m from the main road at each park. NO 2 and O 3 concentration among the parks was not different (p > 0.05), as well as the mean concentration of NO 2 and O 3 of all parks in the six sites did not differ (p > 0.05). However, season 1 and 3 showed increased NO 2 and O 3 concentration. Temperature were decreased in season 1 and 3 (p < 0.05), while humidity, pressure and insolation showed no difference among seasons (p > 0.05). Traffic flow was higher in Moinhos de Vento Park and Marinha do Brasil Park compared to Germânia Park (p < 0.05). Overall, the seasonal variation could directly interfere in NO 2 and O 3 concentration in urban parks from Porto Alegre.

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Impact of ambient air pollution on physical activity among adults: a systematic review and meta-analysis

Cited by 130 publications

References 32 publications

The effect of air pollution on body weight and obesity: Evidence from China

The effect of air pollution on body weight and obesity: Evidence from China

Associations of the objective built environment along the route to school with children’s modes of commuting: A multilevel modelling analysis (the SLIC study)

Seasonal Influence in Traffic-Related Air Pollutants Concentrations in Urban Parks from Porto Alegre, Brazil

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