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Investigating relationship between particulate matter air concentrations and suicides using geographic information system.

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Title: Investigating relationship between particulate matter air concentrations and suicides using geographic information system.
Authors: Gładka, Anna, Blachowski, Jan, Rymaszewska, Joanna, Zatoński, Tomasz
Source: Psychology, Health & Medicine. Dec2022, Vol. 27 Issue 10, p2238-2245. 8p. 3 Charts.
Subjects: Mental illness risk factors, Suicide risk factors, Particulate matter, Air pollution, Geographic information systems, Population density, Unemployment, Multivariate analysis, Population geography, Regression analysis, Risk assessment, Descriptive statistics, Psychiatric hospitals, Environmental exposure
Geographic Terms: Poland
Abstract: Exposure to particulate matter is an important risk factor for mental health disturbances and overall mortality. However, the knowledge on relationship between long-term particulate matter level and suicide rate is limited and requires in-depth study. Population and air pollution data were obtained from the Polish Central Statistics Office and Chief Inspectorate of Environmental Protection for the period 2014–2015. Aspatial multivariate and one factor regression analysis were performed and followed by spatial global regression analysis for district reference units in geographic information system (GIS). At the district level of aggregation, data showed spatial stationarity. The best-fitting spatial global model was based on number of disorders caused by the use of psychoactive substances, number of people treated in psychiatric hospitals, population density, unemployment rate and per capita income. Global spatial model with PM2.5 level parameter was an improvement over the one without it (adj. R2 = 0.87 compared to adj. R2 = 0.83). There is a positive relationship between particular matter concentrations and suicides in Poland. Application of Geographic Information Science analytical functions in medicine can be viewed as a new efficient methodological approach. [ABSTRACT FROM AUTHOR]
Copyright of Psychology, Health & Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Exposure to particulate matter is an important risk factor for mental health disturbances and overall mortality. However, the knowledge on relationship between long-term particulate matter level and suicide rate is limited and requires in-depth study. Population and air pollution data were obtained from the Polish Central Statistics Office and Chief Inspectorate of Environmental Protection for the period 2014–2015. Aspatial multivariate and one factor regression analysis were performed and followed by spatial global regression analysis for district reference units in geographic information system (GIS). At the district level of aggregation, data showed spatial stationarity. The best-fitting spatial global model was based on number of disorders caused by the use of psychoactive substances, number of people treated in psychiatric hospitals, population density, unemployment rate and per capita income. Global spatial model with PM2.5 level parameter was an improvement over the one without it (adj. R2 = 0.87 compared to adj. R2 = 0.83). There is a positive relationship between particular matter concentrations and suicides in Poland. Application of Geographic Information Science analytical functions in medicine can be viewed as a new efficient methodological approach. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychology, Health & Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/13548506.2021.2014059
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 8
        StartPage: 2238
    Subjects:
      – SubjectFull: Mental illness risk factors
        Type: general
      – SubjectFull: Suicide risk factors
        Type: general
      – SubjectFull: Particulate matter
        Type: general
      – SubjectFull: Air pollution
        Type: general
      – SubjectFull: Geographic information systems
        Type: general
      – SubjectFull: Population density
        Type: general
      – SubjectFull: Unemployment
        Type: general
      – SubjectFull: Multivariate analysis
        Type: general
      – SubjectFull: Population geography
        Type: general
      – SubjectFull: Regression analysis
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      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Psychiatric hospitals
        Type: general
      – SubjectFull: Environmental exposure
        Type: general
      – SubjectFull: Poland
        Type: general
    Titles:
      – TitleFull: Investigating relationship between particulate matter air concentrations and suicides using geographic information system.
        Type: main
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            NameFull: Gładka, Anna
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            NameFull: Blachowski, Jan
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            NameFull: Rymaszewska, Joanna
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            NameFull: Zatoński, Tomasz
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          Dates:
            – D: 01
              M: 12
              Text: Dec2022
              Type: published
              Y: 2022
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              Value: 27
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              Value: 10
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            – TitleFull: Psychology, Health & Medicine
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