Day-to-day intrapersonal variability in mobility patterns and association with perceived stress: A cross-sectional study using GPS from 122 individuals in three European cities

Olsen, Jonathan; Nicholls, Natalie; Caryl, Fiona M.; Mendoza, Juan Orjuela; Panis, Luc Int; Dons, Evi; Laeremans, Michelle; Standaert, Arnout; Lee, Duncan; Ávila-Palència, Ione; Nazelle, Audrey de; Nieuwenhuijsen, Mark; Mitchell, Richard

doi:10.1016/j.ssmph.2022.101172

Cited by 6 publications

(2 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was reported that most people with high GAD-7 scores have chronic symptoms for a month or more [ 34 ]. Elsewhere, it was also shown that individuals’ day-to-day mobility patterns are relatively stable [ 65 ]. Our cross-sectional design limited our ability to establish causal relationships.…”

Section: Discussionmentioning

confidence: 99%

Short-term exposure sequences and anxiety symptoms: a time series clustering of smartphone-based mobility trajectories

Lan,

Helbich

2023

Int J Health Geogr

View full text Add to dashboard Cite

Background Short-term environmental exposures, including green space, air pollution, and noise, have been suggested to affect health. However, the evidence is limited to aggregated exposure estimates which do not allow the capture of daily spatiotemporal exposure sequences. We aimed to (1) determine individuals’ sequential exposure patterns along their daily mobility paths and (2) examine whether and to what extent these exposure patterns were associated with anxiety symptoms. Methods We cross-sectionally tracked 141 participants aged 18–65 using their global positioning system (GPS) enabled smartphones for up to 7 days in the Netherlands. We estimated their location-dependent exposures for green space, fine particulate matter, and noise along their moving trajectories at 10-min intervals. The resulting time-resolved exposure sequences were then partitioned using multivariate time series clustering with dynamic time warping as the similarity measure. Respondents’ anxiety symptoms were assessed with the Generalized Anxiety Disorders-7 questionnaire. We fitted linear regressions to assess the associations between sequential exposure patterns and anxiety symptoms. Results We found four distinctive daily sequential exposure patterns across the participants. Exposure patterns differed in terms of exposure levels and daily variations. Regression results revealed that participants with a “moderately health-threatening” exposure pattern were significantly associated with fewer anxiety symptoms than participants with a “strongly health-threatening” exposure pattern. Conclusions Our findings support that environmental exposures’ daily sequence and short-term magnitudes may be associated with mental health. We urge more time-resolved mobility-based assessments in future analyses of environmental health effects in daily life.

show abstract

Section: Discussionmentioning

confidence: 99%

Short-term exposure sequences and anxiety symptoms: a time series clustering of smartphone-based mobility trajectories

Lan,

Helbich

2023

Int J Health Geogr

View full text Add to dashboard Cite

show abstract

“…In the end, we included 41 participants living in Amsterdam or Utrecht who were monitored for three nonconsecutive 24 h between March 2014 and February 2015. To minimize seasonal variation in personal mobility behavior and ambient air pollution, 33 three monitoring activities for each participant took place in different seasons (spring/fall, summer, and winter). The Ethical Committee of the University Medical Center Utrecht approved the study protocol.…”

Section: Methodsmentioning

confidence: 99%

Validity of Mobility-Based Exposure Assessment of Air Pollution: A Comparative Analysis with Home-Based Exposure Assessment

Wei,

Donaire-Gonzalez,

Helbich

et al. 2024

Environ. Sci. Technol.

View full text Add to dashboard Cite

Air pollution exposure is typically assessed at the front door where people live in large-scale epidemiological studies, overlooking individuals' daily mobility out-of-home. However, there is limited evidence that incorporating mobility data into personal air pollution assessment improves exposure assessment compared to home-based assessments. This study aimed to compare the agreement between mobility-based and home-based assessments with personal exposure measurements. We measured repeatedly particulate matter (PM 2.5 ) and black carbon (BC) using a sample of 41 older adults in the Netherlands. In total, 104 valid 24 h average personal measurements were collected. Home-based exposures were estimated by combining participants' home locations and temporal-adjusted air pollution maps. Mobilitybased estimates of air pollution were computed based on smartphone-based tracking data, temporal-adjusted air pollution maps, indoor-outdoor penetration, and travel mode adjustment. Intraclass correlation coefficients (ICC) revealed that mobility-based estimates significantly improved agreement with personal measurements compared to home-based assessments. For PM 2.5 , agreement increased by 64% (ICC: 0.39−0.64), and for BC, it increased by 21% (ICC: 0.43−0.52). Our findings suggest that adjusting for indoor-outdoor pollutant ratios in mobility-based assessments can provide more valid estimates of air pollution than the commonly used home-based assessments, with no added value observed from travel mode adjustments.

show abstract

Mechanisms underlying the associations between different types of nature exposure and sleep duration: An 18-country analysis

Martin,

White,

Elliott

et al. 2024

Environmental Research

View full text Add to dashboard Cite

Day-to-day intrapersonal variability in mobility patterns and association with perceived stress: A cross-sectional study using GPS from 122 individuals in three European cities

Cited by 6 publications

References 70 publications

Short-term exposure sequences and anxiety symptoms: a time series clustering of smartphone-based mobility trajectories

Short-term exposure sequences and anxiety symptoms: a time series clustering of smartphone-based mobility trajectories

Validity of Mobility-Based Exposure Assessment of Air Pollution: A Comparative Analysis with Home-Based Exposure Assessment

Mechanisms underlying the associations between different types of nature exposure and sleep duration: An 18-country analysis

Contact Info

Product

Resources

About