scholarly journals Multiple environmental exposures along daily mobility paths and depressive symptoms: a smartphone-based tracking study

2021 ◽  
Author(s):  
Hannah Roberts ◽  
Marco Helbich

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 50m and 100m 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 50m 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.

2019 ◽  
Vol 74 (1) ◽  
pp. 48-56 ◽  
Author(s):  
J Mark Noordzij ◽  
Marielle A Beenackers ◽  
Joost Oude Groeniger ◽  
Frank J Van Lenthe

BackgroundUrban green spaces have been linked to different health benefits, but longitudinal studies on the effect of green spaces on mental health are sparse and evidence often inconclusive. Our objective was to study the effect of changes in green spaces in the residential environment on changes in mental health using data with 10 years of follow-up (2004–2014).MethodsData from 3175 Dutch adults were linked to accessibility and availability measures of green spaces at three time points (2004/2011/2014). Mental health was measured with the Mental Health Inventory-5. Fixed effects analyses were performed to assess the effect of changes in green spaces on mental health.ResultsCross-sectional analysis of baseline data showed significant associations between Euclidean distances to the nearest green space and mental health, with an increase of 100 m correlating with a lower mental health score of approximately 0.5 (95% CI −0.87 to −0.12) on a 0–100 scale. Fixed effects models showed no evidence for associations between changes in green spaces and changes in mental health both for the entire sample as well as for those that did not relocate during follow-up.ConclusionsDespite observed cross-sectional correlations between the accessibility of green space in the residential environment and mental health, no evidence was found for an association between changes in green spaces and changes in mental health. If mental health and green spaces are indeed causally linked, then changes in green spaces in the Eindhoven area between 2004 and 2014 are not enough to produce a significant effect.


Author(s):  
Jie Yang ◽  
Christina Matz

This study tests the hypothesis that the latent deprivation model (LDM) can be extended to volunteer work, by exploring the extent to which two potential latent benefits of volunteer work—purpose in life and perceived social status—mediate the negative relationship between volunteerism and mental health (measured as depressive symptoms). Structural equation modeling with the full-information maximum likelihood (FIML) was adopted to model a sample of 5887 respondents from the Health and Retirement Study (HRS). The outcome was depressive symptoms; the independent variable was volunteering; and the mediators were “purpose in life” and “perceived social status.” Findings show that purpose in life and perceived social status partially mediated the relationship between volunteering and depressive symptoms, with purpose in life having a more substantial effect than perceived social status. Implications for future research and practice are also discussed.


2020 ◽  
Vol 78 (1) ◽  
Author(s):  
Pauline Hautekiet ◽  
Tim S. Nawrot ◽  
Stefaan Demarest ◽  
Johan Van der Heyden ◽  
Ilse Van Overmeire ◽  
...  

Abstract Background Air pollution, green space and smoking are known to affect human health. However, less is known about their underlying biological mechanisms. One of these mechanisms could be biological aging. In this study, we explore the mediation of biomarkers of exposure and biological aging to explain the associations between environmental exposures, health behavior and mental health. Methods The study population of this cross-sectional study (n = 1168) is a subsample of the Belgian 2018 Health Interview Survey (BHIS). Mental health indicators including psychological and severe psychological distress, life satisfaction, vitality, eating disorders, suicidal ideation, subjective health and depressive and anxiety disorders, demographics and health behavior such as smoking are derived from the BHIS. Urine and blood samples are collected to measure respectively the biomarkers of exposure (urinary black carbon (BC) and (hydroxy)cotinine) and the biomarkers of biological aging (mitochondrial DNA content (mtDNAc) and telomere length (TL)). Recent and chronic exposure (μg/m3) to nitrogen dioxide (NO2), particulate matter ≤2.5 μm (PM2.5) and ≤ 10 μm (PM10) and BC at the participants’ residence are modelled using a high resolution spatial temporal interpolation model. Residential green space is defined in buffers of different size (50 m – 5000 m) using land cover data in ArcGIS 10 software. For the statistical analysis multivariate linear and logistic regressions as well as mediation analyses are used taking into account a priori selected covariates and confounders. Results As this study combined data of BHIS and laboratory analyses, not all data is available for all participants. Therefore, data analyses will be conducted on different subsets. Data on air pollution and green space exposure is available for all BHIS participants. Questions on smoking and mental health were answered by respectively 7829 and 7213 BHIS participants. For biomarker assessment, (hydroxy) cotinine, urinary BC and the biomarkers of biological aging are measured for respectively 1130, 1120 and 985 participants. Conclusion By use of personal markers of air pollution and smoking, as well as biological aging, we will gain knowledge about the association between environmental exposures, health behavior, and the mental health status. The results of the study can provide insights on the health of the Belgian population, making it a nationwide interesting study.


2019 ◽  
Vol 4 (1) ◽  
pp. 98-106 ◽  
Author(s):  
Jameson K. Hirsch ◽  
Jessica Kelliher Rabon ◽  
Esther E. Reynolds ◽  
Alison L. Barton ◽  
Edward C. Chang

Author(s):  
Laetitia Idier ◽  
Aurélie Untas ◽  
Nicole Rascle ◽  
Michèle Koleck ◽  
Maider Aguirrezabal ◽  
...  

Introduction:Psychological impact of Therapeutic Patient Education (TPE) for dialysis patients is rarely evaluated since the focus of many studies is on medical variables (i.e., adherence).Objectives:The aims of this study were: 1) to estimate the impact of a TPE program on knowledge, depression and anxiety, 2) to examine change in knowledge as a mediator of the effects of a TPE program on mental health.Method:This study was conducted in three hemodialysis units and comprised two groups: an experimental group with education and a control group with routine care. The program was based of 5 educative sessions. Knowledge, depressive and anxious symptoms were assessed with self-reported outcomes measured before and 3 months after the program.Results:The sample comprised 125 patients. Knowledge about vascular access and nutrition (p < 0.01) and depressive symptoms increased in the experimental group (p < 0.01). Analysis of mediation showed that changes in knowledge about vascular access were a significant mediator of the effects of the program on depressive symptoms (F = 4.90;p = 0.01).Discussion:Knowledge acquired during an educational program could lead to an emotional change. Improving knowledge often leads to an awareness of the risks that can modify the psychological state of patients by reminding them of their vulnerability. This study shows that it is required to be attentive to the way of transmitting knowledge. It’s necessary adapting this transmission to the needs of patients and promoting the acquisition of psychosocial competence too.Conclusion:This study shows that knowledge acquired during an educational program can lead to an emotional change in the short term. A long-term follow-up of the population should be interesting to observe these emotional effects.


2019 ◽  
Author(s):  
Shelby L. Levine ◽  
Marina Milyavskaya

Transitioning to university may be especially difficult for students who expect perfection from themselves. Self-critical perfectionism has consistently been linked to poor mental health. The current study compares a diathesis-stress and a downward spiral model, to determine why self-critical perfectionism is detrimental for mental health during this transition. First-year students (N=658) were recruited prior to beginning university in August and contacted again in October, January, and April. Participants completed measures on perfectionism, stress and depressive symptoms. Evidence was found for a downward spiral model with self-critical perfectionism, but not a diathesis-stress model. Students higher in self-critical perfectionism were more likely to experience increased stress and depressive symptoms in a circular and additive manner. Conversely, students higher in personal standards perfectionism experienced less stress and subsequent depressive symptoms. This research provides a theoretical model for why self-critical perfectionism is related to poor mental health outcomes which become sustained over time.


2018 ◽  
Author(s):  
Shelby L. Levine ◽  
Isabelle Green-Demers ◽  
Marina Milyavskaya ◽  
Kaitlyn M. Werner

The present study examined the influence of personal standards and self-critical perfectionism on depressive and anxiety symptoms over the academic year. High-school students (N=174) were surveyed in the late Fall and early Spring, assessing perfectionism in the Fall and mental health across the year in both the Fall and Spring. Path modelling was used to examine whether self-critical and personal standards perfectionism were related to changes in mental health across the school year. Controlling for mental health at the start of the year, self-critical perfectionism predicted an increase in depressive symptoms over time, whereas personal standards perfectionism was unrelated to changes in mental health. Results support that self-critical perfectionism is detrimental to mental health in adolescents, suggesting that future interventions should focus on reducing self-critical cognitive biases in youth.


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