TY - JOUR
T1 - Multiple environmental exposures along daily mobility paths and depressive symptoms: A smartphone-based tracking study
AU - Roberts, Hannah
AU - Helbich, Marco
N1 - Funding Information:
This study made use of the Open Data Infrastructure for Social Science and Economic Innovations (ODISSEI) in the Netherlands. We would like to thank Statistics Netherlands for their contribution to collecting the survey data. The research leading to this paper received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement number: 714993). The funders had no role concerning the study design, data collection and analysis, interpretation, or dissemination. [masked for review]: Data Curation, Conceptualization, Methodology, Formal analysis, Visualization, Writing - Original Draft. [masked for review]: Conceptualization, Methodology, Writing - Review & Editing, Project administration, Funding acquisition. The data used in this analysis cannot be shared with third parties as per the policies of Statistics Netherlands. The syntax for the main analysis is available on Open Science Framework (https://osf.io/ygs72/).
Funding Information:
The research leading to this paper received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement number: 714993). The funders had no role concerning the study design, data collection and analysis, interpretation, or dissemination.
Publisher Copyright:
© 2021 The Author(s)
PY - 2021/11
Y1 - 2021/11
N2 - Few studies go beyond the residential environment in assessments of the environment-mental health association, despite multiple environments being encountered in daily life. This study investigated 1) the associations between multiple environmental exposures and depressive symptoms, both in the residential environment and along the daily mobility path, 2) examined differences in the strength of associations between residential- and mobility-based models, and 3) explored sex as a moderator. Depressive symptoms of 393 randomly sampled adults aged 18–65 were assessed using the Patient Health Questionnaire (PHQ-9). Respondents were tracked via global positioning systems- (GPS) enabled smartphones for up to 7 days. Exposure to green space (normalized difference vegetation index (NDVI)), blue space, noise (Lden) and air pollution (particulate matter (PM2.5)) within 50 m and 100 m of each residential address and GPS point was computed. Multiple linear regression analyses were conducted separately for the residential- and mobility-based exposures. Wald tests were used to assess if the coefficients differed across models. Interaction terms were entered in fully adjusted models to determine if associations varied by sex. A significant negative relationship between green space and depressive symptoms was found in the fully adjusted residential- and mobility-based models using the 50 m buffer. No significant differences were observed in coefficients across models. None of the interaction terms were significant. Our results suggest that exposure to green space in the immediate environment, both at home and along the daily mobility path, is associated with a reduction in depressive symptoms. Further research is required to establish the utility of dynamic approaches to exposure assessment in studies on the environment and mental health.
AB - Few studies go beyond the residential environment in assessments of the environment-mental health association, despite multiple environments being encountered in daily life. This study investigated 1) the associations between multiple environmental exposures and depressive symptoms, both in the residential environment and along the daily mobility path, 2) examined differences in the strength of associations between residential- and mobility-based models, and 3) explored sex as a moderator. Depressive symptoms of 393 randomly sampled adults aged 18–65 were assessed using the Patient Health Questionnaire (PHQ-9). Respondents were tracked via global positioning systems- (GPS) enabled smartphones for up to 7 days. Exposure to green space (normalized difference vegetation index (NDVI)), blue space, noise (Lden) and air pollution (particulate matter (PM2.5)) within 50 m and 100 m of each residential address and GPS point was computed. Multiple linear regression analyses were conducted separately for the residential- and mobility-based exposures. Wald tests were used to assess if the coefficients differed across models. Interaction terms were entered in fully adjusted models to determine if associations varied by sex. A significant negative relationship between green space and depressive symptoms was found in the fully adjusted residential- and mobility-based models using the 50 m buffer. No significant differences were observed in coefficients across models. None of the interaction terms were significant. Our results suggest that exposure to green space in the immediate environment, both at home and along the daily mobility path, is associated with a reduction in depressive symptoms. Further research is required to establish the utility of dynamic approaches to exposure assessment in studies on the environment and mental health.
KW - Depression
KW - Environmental exposures
KW - Global positioning systems
KW - Mental health
KW - Mobility
UR - http://www.scopus.com/inward/record.url?scp=85106702965&partnerID=8YFLogxK
U2 - 10.1016/j.envint.2021.106635
DO - 10.1016/j.envint.2021.106635
M3 - Article
SN - 1873-6750
VL - 156
SP - 1
EP - 8
JO - Environment International
JF - Environment International
M1 - 106635
ER -