The "things" we adjust for in greenness epidemiology: relationships between greenness and lifestyle and environmental factors in the Swedish SCAPIS cohort.

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Title: The "things" we adjust for in greenness epidemiology: relationships between greenness and lifestyle and environmental factors in the Swedish SCAPIS cohort.
Authors: Sdona, Emmanouela1,2,3 (AUTHOR) emmanouela.sdona@ki.se, Pyko, Andrei1,2 (AUTHOR) andrei.pyko@ki.se, Stenfors, Cecilia4 (AUTHOR) cecilia.stenfors@psychology.su.se, Asker, Christian5 (AUTHOR) christian.asker@smhi.se, Azzouz, Mehjar6,7 (AUTHOR) mehjar.azzouz@gu.se, Oudin, Anna8,9 (AUTHOR) anna.oudin@med.lu.se, Sommar, Johan Nilsson9 (AUTHOR) johan.sommar@umu.se, Svartengren, Magnus10,11 (AUTHOR) magnus.svartengren@medsci.uu.se, Ögren, Mikael6,7 (AUTHOR) mikael.ogren@amm.gu.se, Ljungman, Petter1,12 (AUTHOR) Petter.Ljungman@ki.se, Stockfelt, Leo6,7 (AUTHOR) leo.stockfelt@amm.gu.se, Lõhmus, Mare1,2 (AUTHOR) mare.lohmus.sundstrom@ki.se
Source: Environment International. Nov2025, Vol. 205, pN.PAG-N.PAG. 1p.
Subjects: Air pollution, Smoking, Alcohol drinking, Epidemiology, Social determinants of health, Ground vegetation cover, Cohort analysis
Abstract: • Associations between greenness and air pollution and noise vary across locations. • We observed inverse associations between greenness and smoking and alcohol intake. • We did not observe associations of greenness with sedentary lifestyle or waist circumference. • Greenness may relate to environmental and lifestyle factors in site-specific ways. • Socioeconomic and geographic factors need to be considered in greenness-health associations. Residential greenness is linked to health, but its relationships with environmental exposures and lifestyle factors—often treated as confounders or mediators—are less clear. We investigated the associations between residential greenness and air pollution, traffic noise and lifestyle factors (smoking, alcohol consumption, leisure-time physical activity) at six study sites in the S wedish CA rdio P ulmonary bio I mage S tudy (SCAPIS), using waist circumference as an illustrative outcome. Greenness assessment was based on the average 5-year pre-recruitment values of Normalized Difference Vegetation Index (NDVI) within 250 m buffers around participants' residences (n = 29,376; 50–65 years). We used linear regression to estimate associations between NDVI and fine particulate matter (PM 2.5), respirable particulate matter (PM 10), nitrogen dioxide (NO 2) road traffic noise (L den), and waist circumference; logistic regression to estimate associations between NDVI and smoking, alcohol consumption and sedentary lifestyle. NDVI (mean 0.47; range 0.08–0.79) varied across SCAPIS sites. Higher greenness was associated with lower air pollution and traffic noise and lower smoking and alcohol consumption, but not with sedentary lifestyle. Waist circumference (mean 89.4 cm in women; 99.7 cm in men) differed by site, but showed no independent association with greenness, after adjustment for urbanicity, site and socioeconomic variables. SCAPIS participants more often lived in urban, less green areas than the general population. Greenness relates to environmental and lifestyle factors, partly in site-specific ways, underscoring the need to carefully consider what we adjust for in greenness epidemiology. [ABSTRACT FROM AUTHOR]
Copyright of Environment International is the property of Pergamon Press - An Imprint of Elsevier Science 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.)
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  Data: The "things" we adjust for in greenness epidemiology: relationships between greenness and lifestyle and environmental factors in the Swedish SCAPIS cohort.
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  Data: <searchLink fieldCode="AR" term="%22Sdona%2C+Emmanouela%22">Sdona, Emmanouela</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> emmanouela.sdona@ki.se</i><br /><searchLink fieldCode="AR" term="%22Pyko%2C+Andrei%22">Pyko, Andrei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> andrei.pyko@ki.se</i><br /><searchLink fieldCode="AR" term="%22Stenfors%2C+Cecilia%22">Stenfors, Cecilia</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> cecilia.stenfors@psychology.su.se</i><br /><searchLink fieldCode="AR" term="%22Asker%2C+Christian%22">Asker, Christian</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> christian.asker@smhi.se</i><br /><searchLink fieldCode="AR" term="%22Azzouz%2C+Mehjar%22">Azzouz, Mehjar</searchLink><relatesTo>6,7</relatesTo> (AUTHOR)<i> mehjar.azzouz@gu.se</i><br /><searchLink fieldCode="AR" term="%22Oudin%2C+Anna%22">Oudin, Anna</searchLink><relatesTo>8,9</relatesTo> (AUTHOR)<i> anna.oudin@med.lu.se</i><br /><searchLink fieldCode="AR" term="%22Sommar%2C+Johan+Nilsson%22">Sommar, Johan Nilsson</searchLink><relatesTo>9</relatesTo> (AUTHOR)<i> johan.sommar@umu.se</i><br /><searchLink fieldCode="AR" term="%22Svartengren%2C+Magnus%22">Svartengren, Magnus</searchLink><relatesTo>10,11</relatesTo> (AUTHOR)<i> magnus.svartengren@medsci.uu.se</i><br /><searchLink fieldCode="AR" term="%22Ögren%2C+Mikael%22">Ögren, Mikael</searchLink><relatesTo>6,7</relatesTo> (AUTHOR)<i> mikael.ogren@amm.gu.se</i><br /><searchLink fieldCode="AR" term="%22Ljungman%2C+Petter%22">Ljungman, Petter</searchLink><relatesTo>1,12</relatesTo> (AUTHOR)<i> Petter.Ljungman@ki.se</i><br /><searchLink fieldCode="AR" term="%22Stockfelt%2C+Leo%22">Stockfelt, Leo</searchLink><relatesTo>6,7</relatesTo> (AUTHOR)<i> leo.stockfelt@amm.gu.se</i><br /><searchLink fieldCode="AR" term="%22Lõhmus%2C+Mare%22">Lõhmus, Mare</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> mare.lohmus.sundstrom@ki.se</i>
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  Data: <searchLink fieldCode="JN" term="%22Environment+International%22">Environment International</searchLink>. Nov2025, Vol. 205, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink><br /><searchLink fieldCode="DE" term="%22Smoking%22">Smoking</searchLink><br /><searchLink fieldCode="DE" term="%22Alcohol+drinking%22">Alcohol drinking</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemiology%22">Epidemiology</searchLink><br /><searchLink fieldCode="DE" term="%22Social+determinants+of+health%22">Social determinants of health</searchLink><br /><searchLink fieldCode="DE" term="%22Ground+vegetation+cover%22">Ground vegetation cover</searchLink><br /><searchLink fieldCode="DE" term="%22Cohort+analysis%22">Cohort analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • Associations between greenness and air pollution and noise vary across locations. • We observed inverse associations between greenness and smoking and alcohol intake. • We did not observe associations of greenness with sedentary lifestyle or waist circumference. • Greenness may relate to environmental and lifestyle factors in site-specific ways. • Socioeconomic and geographic factors need to be considered in greenness-health associations. Residential greenness is linked to health, but its relationships with environmental exposures and lifestyle factors—often treated as confounders or mediators—are less clear. We investigated the associations between residential greenness and air pollution, traffic noise and lifestyle factors (smoking, alcohol consumption, leisure-time physical activity) at six study sites in the S wedish CA rdio P ulmonary bio I mage S tudy (SCAPIS), using waist circumference as an illustrative outcome. Greenness assessment was based on the average 5-year pre-recruitment values of Normalized Difference Vegetation Index (NDVI) within 250 m buffers around participants' residences (n = 29,376; 50–65 years). We used linear regression to estimate associations between NDVI and fine particulate matter (PM 2.5), respirable particulate matter (PM 10), nitrogen dioxide (NO 2) road traffic noise (L den), and waist circumference; logistic regression to estimate associations between NDVI and smoking, alcohol consumption and sedentary lifestyle. NDVI (mean 0.47; range 0.08–0.79) varied across SCAPIS sites. Higher greenness was associated with lower air pollution and traffic noise and lower smoking and alcohol consumption, but not with sedentary lifestyle. Waist circumference (mean 89.4 cm in women; 99.7 cm in men) differed by site, but showed no independent association with greenness, after adjustment for urbanicity, site and socioeconomic variables. SCAPIS participants more often lived in urban, less green areas than the general population. Greenness relates to environmental and lifestyle factors, partly in site-specific ways, underscoring the need to carefully consider what we adjust for in greenness epidemiology. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Environment International is the property of Pergamon Press - An Imprint of Elsevier Science 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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        Value: 10.1016/j.envint.2025.109876
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        Text: English
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      – SubjectFull: Air pollution
        Type: general
      – SubjectFull: Smoking
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      – SubjectFull: Alcohol drinking
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      – SubjectFull: Epidemiology
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      – SubjectFull: Social determinants of health
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      – SubjectFull: Ground vegetation cover
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      – SubjectFull: Cohort analysis
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              Text: Nov2025
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