Improving longitudinal research in geospatial health: An agenda

Desjardins, Michael R.; Murray, Emily; Baranyi, Gergő; Hobbs, Matthew; Curtis, Sarah

doi:10.1016/j.healthplace.2023.102994

Cited by 15 publications

(2 citation statements)

References 38 publications

(36 reference statements)

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“…Incorporating longitudinal research alongside short-term research methods such as interviews and surveys could provide novel insight into blue space exposure outcomes. The creation of geospatial longitudinal datasets, through the application of mixed methods research approaches, would help develop an increased understanding of the dynamic spatial and temporal processes that impact human-environment interactions [166]. This would allow for a triangulation of research methods to capture multiple perspectives on blue space temporal dynamics and help create a more comprehensive understanding of the research topic [167].…”

Section: An Enhanced Blue Space Analytical Frameworkmentioning

confidence: 99%

Understanding Health Outcomes from Exposure to Blue Space Resources: Towards a Mixed Methods Framework for Analysis

Grace,

Dickie,

Bartie

et al. 2023

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With healthcare systems facing growing pressure from ageing populations and associated complex care needs, attention is increasingly being focused on sustainable strategies to improve health outcomes across populations. Encouraging access to natural environments is one form of preventative public health strategy that has been shown to lead to improved physical and mental health outcomes at the population level. A significant body of research has documented the health benefits of accessing a wide range of natural environments, including green space and coastal areas. However, freshwater resources, or inland blue spaces, have received less attention in the field of human–environment interactions. This critical review highlights current research opportunities for developing rich and nuanced insight into inland blue space experiences. Future research must take steps to account for the dynamic and unique nature of inland blue spaces through the application of a wide range of flexible and sensitive research methodologies alongside the application of broader mixed methods research approaches. To effectively utilise inland blue spaces as public health resources, it is vital that research captures the influence of temporal changes on blue space interactions and considers the overarching impact of context-specific factors. Addressing current research gaps in combination with advancing research methodologies offers the potential to consolidate inland blue space findings and create a robust evidence base for the implementation of effective public health policies.

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Section: An Enhanced Blue Space Analytical Frameworkmentioning

confidence: 99%

Understanding Health Outcomes from Exposure to Blue Space Resources: Towards a Mixed Methods Framework for Analysis

Grace,

Dickie,

Bartie

et al. 2023

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“…Evidence steadily consolidates that accounting for dynamic environmental exposures is likely more accurate than residence-based approaches, not factoring in exposures incurred during people’s day-to-day mobility [ 1 , 2 ]. Only a few studies have relied on global positioning system (GPS)-enabled sensing technologies to measure people’s exposures at out-of-home activity locations and along their mobility paths [ 3 – 6 ].…”

Section: Introductionmentioning

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

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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.

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Towards More Precise Neighborhood Determinants of Health: Collecting Residential Histories as an Important Next Step

Tsuang,

Curtis

2024

J GEN INTERN MED

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Improving longitudinal research in geospatial health: An agenda

Cited by 15 publications

References 38 publications

Understanding Health Outcomes from Exposure to Blue Space Resources: Towards a Mixed Methods Framework for Analysis

Understanding Health Outcomes from Exposure to Blue Space Resources: Towards a Mixed Methods Framework for Analysis

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

Towards More Precise Neighborhood Determinants of Health: Collecting Residential Histories as an Important Next Step

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