Moving to More Polluted Areas May Lead to Weight Gain

Moving to More Polluted Areas May Lead to Weight Gain  AZoCleantech

Moving to More Polluted Areas May Lead to Weight Gain

Moving to More Polluted Areas May Lead to Weight Gain

Report on the Link Between Air Pollution and Weight Gain in Children

Report on the Link Between Air Pollution and Weight Gain in Children

Introduction

Moving to an area with higher levels of air pollution is linked to weight gain in young children, according to a major natural experiment conducted in Catalonia. The study, conducted by the IDIAP Jordi Gol in collaboration with the Barcelona Institute for Global Health (ISGlobal), provides additional evidence in favor of initiatives to reduce air pollution.

Background

The interaction of genes, lifestyle choices, physiological factors, and social factors contributes to childhood obesity and overweight. Exposures to the environment, such as air pollution, may also play a role. However, it is still unclear whether there is a causal link between air pollution and childhood obesity.

“A good way to investigate whether the two are linked is to see what happens when a child is suddenly exposed to higher or lower levels of air pollution as a result of moving to a different home address. This is what we call a natural experiment.” – Martine Vrijheid, Head, Childhood and Environment Research Group, Barcelona Institute for Global Health

Methodology

A group led by Vrijheid used a natural experiment study design to determine whether variations in air pollution exposure due to residential relocation were connected to changes in body mass index (BMI). The research included 46,644 children and adolescents (aged 2 to 17) who relocated once between 2011 and 2018 and were enrolled in primary healthcare in Catalonia.

Data Collection

Before and after each participant moved, the research group estimated the annual levels of NO2, PM10, and PM2.5 particulate matter in their previous residences. BMI was calculated using weight and height measurements taken at the primary care facilities both before and 180 days or more after the relocation.

Results

The analysis revealed that relocating to an area with higher air pollution levels was linked to a slight increase in BMI. This effect was observed for all pollutants and was more pronounced in preschoolers and elementary school students. Moving to a less polluted area had no discernible impact on BMI.

“This may be because reductions in air pollution levels seem to be less relevant for those who were already exposed to high levels of pollution.” – Sarah Warkentin, Study First Author and Researcher, Barcelona Institute for Global Health

Surprisingly, moving to areas with comparable levels of air pollution was associated with lower BMI. This could be due to factors such as increased walkability or the presence of more play areas for children. It could also be attributed to the stress of moving. The effect of air pollution on weight was unaffected by socioeconomic status.

Discussion

The biological mechanisms linking air pollution to weight gain are not fully understood but may involve oxidative stress, adipose tissue inflammation, decreased glucose uptake, hormonal disruption, changes in metabolism, or decreased lung function. Behavioral changes resulting from increased traffic, such as reduced time spent outdoors, may also contribute to weight gain.

Limitations of the study include the inability to account for behavioral changes due to lack of available data and reliance on primary healthcare center records in Catalonia. However, the large sample size and routine data collection allowed for a significant natural experiment.

Implications and Recommendations

The findings suggest that moving to areas with higher levels of air pollution can lead to weight gain in young children. These results provide further evidence for the importance of reducing air pollution levels and implementing other community interventions to prevent childhood obesity and overweight.

Given that 56% of the world’s population lives in urban, polluted areas, the small magnitude of the observed associations can have a significant impact on global public health.

Journal Reference

Warkentin, S., et al. (2023). Changes in air pollution exposure after residential relocation and body mass index in children and adolescents: A natural experiment study. Environmental Pollution. doi.org/10.1016/j.envpol.2023.122217.

Sources

SDGs, Targets, and Indicators

  1. SDG 3: Good Health and Well-being

    • Target 3.4: By 2030, reduce by one-third premature mortality from non-communicable diseases through prevention and treatment and promote mental health and well-being.
    • Indicator 3.4.1: Mortality rate attributed to cardiovascular disease, cancer, diabetes, or chronic respiratory disease.
  2. SDG 11: Sustainable Cities and Communities

    • Target 11.6: By 2030, reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management.
    • Indicator 11.6.2: Annual mean levels of fine particulate matter (e.g., PM2.5 and PM10) in cities (population-weighted).

Analysis

The article addresses the issue of air pollution and its impact on weight gain in young children. Based on the content of the article, the following SDGs, targets, and indicators can be identified:

1. SDG 3: Good Health and Well-being

The issue of childhood obesity and overweight, which can be influenced by air pollution, is relevant to SDG 3, which aims to ensure good health and well-being for all. Target 3.4 specifically focuses on reducing premature mortality from non-communicable diseases, including obesity-related conditions. The indicator 3.4.1, which measures the mortality rate attributed to cardiovascular disease, cancer, diabetes, or chronic respiratory disease, can be used to measure progress towards this target.

2. SDG 11: Sustainable Cities and Communities

The issue of air pollution and its impact on weight gain is also connected to SDG 11, which aims to create sustainable cities and communities. Target 11.6 focuses on reducing the adverse environmental impact of cities, including air quality. The indicator 11.6.2, which measures the annual mean levels of fine particulate matter (PM2.5 and PM10) in cities, can be used to measure progress towards this target.

Table: SDGs, Targets, and Indicators

SDGs Targets Indicators
SDG 3: Good Health and Well-being Target 3.4: By 2030, reduce by one-third premature mortality from non-communicable diseases through prevention and treatment and promote mental health and well-being. Indicator 3.4.1: Mortality rate attributed to cardiovascular disease, cancer, diabetes, or chronic respiratory disease.
SDG 11: Sustainable Cities and Communities Target 11.6: By 2030, reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management. Indicator 11.6.2: Annual mean levels of fine particulate matter (e.g., PM2.5 and PM10) in cities (population-weighted).

Based on the article’s content, these SDGs, targets, and indicators are relevant to the issues discussed and can be used to measure progress towards addressing the impact of air pollution on weight gain in young children.

Behold! This splendid article springs forth from the wellspring of knowledge, shaped by a wondrous proprietary AI technology that delved into a vast ocean of data, illuminating the path towards the Sustainable Development Goals. Remember that all rights are reserved by SDG Investors LLC, empowering us to champion progress together.

Source: azocleantech.com

 

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