Literature DB >> 28258052

Kernel Density Estimation as a Measure of Environmental Exposure Related to Insulin Resistance in Breast Cancer Survivors.

Marta M Jankowska1, Loki Natarajan2,3, Suneeta Godbole2, Kristin Meseck2, Dorothy D Sears2,4, Ruth E Patterson2,3, Jacqueline Kerr2,3.   

Abstract

Background: Environmental factors may influence breast cancer; however, most studies have measured environmental exposure in neighborhoods around home residences (static exposure). We hypothesize that tracking environmental exposures over time and space (dynamic exposure) is key to assessing total exposure. This study compares breast cancer survivors' exposure to walkable and recreation-promoting environments using dynamic Global Positioning System (GPS) and static home-based measures of exposure in relation to insulin resistance.
Methods: GPS data from 249 breast cancer survivors living in San Diego County were collected for one week along with fasting blood draw. Exposure to recreation spaces and walkability was measured for each woman's home address within an 800 m buffer (static), and using a kernel density weight of GPS tracks (dynamic). Participants' exposure estimates were related to insulin resistance (using the homeostatic model assessment of insulin resistance, HOMA-IR) controlled by age and body mass index (BMI) in linear regression models.
Results: The dynamic measurement method resulted in greater variability in built environment exposure values than did the static method. Regression results showed no association between HOMA-IR and home-based, static measures of walkability and recreation area exposure. GPS-based dynamic measures of both walkability and recreation area were significantly associated with lower HOMA-IR (P < 0.05).Conclusions: Dynamic exposure measurements may provide important evidence for community- and individual-level interventions that can address cancer risk inequities arising from environments wherein breast cancer survivors live and engage.Impact: This is the first study to compare associations of dynamic versus static built environment exposure measures with insulin outcomes in breast cancer survivors. Cancer Epidemiol Biomarkers Prev; 26(7); 1078-84. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28258052      PMCID: PMC5500421          DOI: 10.1158/1055-9965.EPI-16-0927

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  53 in total

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5.  Fasting insulin and outcome in early-stage breast cancer: results of a prospective cohort study.

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Authors:  N J Davies; L Batehup; R Thomas
Journal:  Br J Cancer       Date:  2011-11-08       Impact factor: 7.640

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8.  Dynamic Accuracy of GPS Receivers for Use in Health Research: A Novel Method to Assess GPS Accuracy in Real-World Settings.

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Journal:  Front Public Health       Date:  2014-03-10

Review 9.  The effects of physical activity on breast cancer survivors after diagnosis.

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Journal:  Environ Health Perspect       Date:  2015-07-17       Impact factor: 9.031

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Journal:  Spat Spatiotemporal Epidemiol       Date:  2022-03-24

2.  Accounting for space, time, and behavior using GPS derived dynamic measures of environmental exposure.

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3.  Device-Measured and Self-Reported Active Travel Associations with Cardiovascular Disease Risk Factors in an Ethnically Diverse Sample of Adults.

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Review 4.  Neighborhood Characteristics and Cancer Survivorship: An Overview of the Current Literature on Neighborhood Landscapes and Cancer Care.

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