Genetics, air pollution can boost Parkinson’s risk, study finds

Genetics, air pollution can boost Parkinson's risk, study finds  McKnight's Long-Term Care News

Genetics, air pollution can boost Parkinson’s risk, study finds

Genetics, air pollution can boost Parkinson’s risk, study finds

The Impact of Air Pollution on Parkinson’s Disease Risk

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Introduction

The impact of air pollution on the development of Parkinson’s disease has gained significant attention in recent years. A new study further supports the association between air pollution and the risk of Parkinson’s disease.

The Study

A study published in npj Parkinson’s Disease on January 17th reveals that air pollution can increase an individual’s risk of developing Parkinson’s disease, especially among those with a genetic predisposition to the disorder.

Research Findings

The study analyzed data from the UK Biobank, which included information on 312,009 individuals. Over a 12-year follow-up period, Parkinson’s disease was diagnosed in 0.76% of the participants.

The researchers utilized genetic data and details on each individual’s exposure to air pollution to calculate a Parkinson’s disease risk score. The analysis revealed that exposure to particulate matter (specifically PM10 from smoke and dust) and nitrogen dioxide (emitted by cars and fossil fuels) increased the risk of Parkinson’s disease. Those with the highest exposure to PM10 had a 20.1% increased risk, while those with the highest exposure to nitrogen dioxide had a 24.7% higher risk.

Genetic Predisposition

Individuals who were both exposed to pollutants and had genetic ties to Parkinson’s disease had an even higher risk of developing the condition. The authors emphasized the importance of reducing air pollution levels, particularly for those with a high genetic sensitivity to Parkinson’s disease.

Sustainable Development Goals

This study aligns with several Sustainable Development Goals (SDGs), including:

  1. SDG 3: Good Health and Well-being – By understanding the impact of air pollution on Parkinson’s disease, efforts can be made to protect individuals and promote better health outcomes.
  2. SDG 11: Sustainable Cities and Communities – Reducing air pollution levels contributes to creating cleaner and healthier urban environments.
  3. SDG 13: Climate Action – Addressing air pollution is crucial in mitigating climate change and its adverse effects.

SDGs, Targets, and Indicators

  1. SDG 3: Good Health and Well-being

    • Target 3.9: By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water, and soil pollution and contamination.
    • Indicator 3.9.1: Mortality rate attributed to household and ambient air pollution.
  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).

The article addresses the issue of air pollution and its connection to Parkinson’s disease. Based on the content, the following SDGs, targets, and indicators can be identified:

1. Which SDGs are addressed or connected to the issues highlighted in the article?

The issues highlighted in the article are connected to the following SDGs:

  • SDG 3: Good Health and Well-being
  • SDG 11: Sustainable Cities and Communities

The article discusses the impact of air pollution on the development of Parkinson’s disease, which is directly related to the goal of ensuring good health and well-being (SDG 3). Additionally, it highlights the importance of reducing air pollution, which is relevant to creating sustainable cities and communities (SDG 11).

2. What specific targets under those SDGs can be identified based on the article’s content?

Based on the article’s content, the following targets can be identified:

  • Target 3.9: By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water, and soil pollution and contamination.
  • 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.

The article emphasizes the need to mitigate air pollution to protect individuals from the development of Parkinson’s disease, aligning with Target 3.9 of SDG 3. It also highlights the importance of addressing air quality in cities to reduce the adverse environmental impact, which corresponds to Target 11.6 of SDG 11.

3. Are there any indicators mentioned or implied in the article that can be used to measure progress towards the identified targets?

Yes, there are indicators mentioned in the article that can be used to measure progress towards the identified targets:

  • Indicator 3.9.1: Mortality rate attributed to household and ambient air pollution.
  • Indicator 11.6.2: Annual mean levels of fine particulate matter (e.g., PM2.5 and PM10) in cities (population-weighted).

The article discusses the association between air pollution and Parkinson’s disease, indicating that reducing air pollution can contribute to achieving Target 3.9 of SDG 3. The mortality rate attributed to household and ambient air pollution (Indicator 3.9.1) can be used to measure progress in reducing the adverse health effects of air pollution. Additionally, the article mentions particulate matter (PM10) and nitrogen dioxide as pollutants associated with Parkinson’s disease, which can be measured to assess progress towards Target 11.6 of SDG 11 (Indicator 11.6.2).

4. SDGs, Targets, and Indicators

SDGs Targets Indicators
SDG 3: Good Health and Well-being Target 3.9: By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water, and soil pollution and contamination. Indicator 3.9.1: Mortality rate attributed to household and ambient air pollution.
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).

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: mcknights.com

 

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