Examining air pollution (PM 10 ), mental health and well-being in a representative German sample

Zugehörigkeit
Medical Psychology and Medical Sociology, University Medical Center of the Johannes Gutenberg University of Mainz, Mainz, Germany
Petrowski, Katja;
Zugehörigkeit
Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University of Mainz, Mainz, Germany
Bührer, Stefan;
GND
118037080
Zugehörigkeit
Institute of Psychosocial Medicine and Psychotherapy, University Hospital Jena, Jena, Germany
Strauß, Bernhard;
Zugehörigkeit
Department of Medical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany
Decker, Oliver;
Zugehörigkeit
Integrated Research and Treatment Center (IFB) Adiposity Diseases-Behavioral Medicine, Psychosomatic Medicine and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
Brähler, Elmar

Abstract There is a growing debate on the role of the physical environment and what constitute risk and protective factors for mental health. Various forms of air pollution have shown links to physical and mental health concerns and considering that Germany does not meet the WHO air quality standards—poor air quality affects a large proportion of Germans and is more important now than ever. This study investigates the physical environmental factor, air pollution, measured by particulate matter of particles with an aerodynamic diameter smaller than 10 µm (PM 10 ) and effects on determinants of mental health and well-being (life satisfaction, stress resilience, anxiety, depression, and self-esteem). A representative sample of N = 3020 German adults with 54% females (46% males) and an age range between 18 and 92 years (M = 49.04, S.D. ± 17.27) was used. Multivariate linear regression analyses show that higher life satisfaction, more self-esteem and higher stress resilience are predicted by less air pollution (PM 10 ). Individual income, age, and gender were taken into account for each regression model. Gender specific sub-analyses revealed similar predictions for PM 10 and stress resilience whereas PM 10 and self-esteem were only significantly associated for females. Associations between mental health or well-being determinants and air pollution (PM 10 ) are found in the representative German sample.

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