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Complexity and Uncertainty in Geography of Health Research

Incorporating Life-Course Perspectives

Bibliographic Data

ID3775911
AuthorsJamie R Pearce (0000-0002-0994-7140, University of Edinburgh, corresponding author)
Year2018
Volume108
Issue6
Pages1491-1498
Publication date2018-11-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAnnals of the American Association of Geographers (JOURNAL)
Journal identifiersISSN: 2469-4452 • E-ISSN: 2469-4460
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/24694452.2017.1416280
OpenAlexW2766378228
LanguageEN
Citations received53
References cited46

Geographers, including those interested in the relationships between health and place, have made important contributions to how, when, and where humans are exposed to and influenced by different spatial contexts. Using detailed and sometimes real-time spatial and temporal data, geographers have enhanced our understanding of how people move within and between different social and physical environments and the implications for health outcomes and behaviors. Yet almost all of this work focuses on spatial–temporal mobility over short time periods (e.g., day, week), and there has been little effort to understand the extent to which people are exposed to different types of places and environments over their full life span. This article examines the analytic possibilities of, and technical challenges to, incorporating this uncertainty into a life-course framework to better understand (1) the accumulation of environmental circumstances over life and (2) whether there are critical periods during life when aspects of place are particularly pertinent in understanding health. It is argued that this approach not only offers opportunities to better understand the complex relationships between health and place (and other social outcomes) but can strengthen the evidence for causal relationships between the environment and health. Finally, there is a brief discussion of some of our own nascent work considering these issues using longitudinal data collected in the United Kingdom

Data science · Development geography · Health geography · Historical geography · Human geography · International health · Life course approach · Public health · Regional science · Social science · Sociology · Time geography · Climate Change and Health Impacts · Computer Science · Health disparities and outcomes · Medicine · Psychology · Social Psychology · Urban Transport and Accessibility · Health Policy

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Unique citing works53
Citations per year7,57
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 26

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