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Physical Activity and Exposure in Breast Cancer Survivors Using GPS, GIS and Accelerometry

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Geospatial Approaches to Energy Balance and Breast Cancer

Part of the book series: Energy Balance and Cancer ((EBAC,volume 15))

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Abstract

Research concerning how the built environment impacts behaviors linked to breast cancer has become of increased interest to public health researchers. Physical activity is a modifiable behavioral factor that can reduce breast cancer risk, cancer recurrence risk, and improve treatment effects by targeting biological mechanisms such as insulin resistance and inflammation. In order to improve population levels of PA, especially in vulnerable groups such as cancer survivors, it is essential to incorporate multiple levels of influence into interventions and analyses, including environmental contexts in which behaviors occur. In order to best measure and intervene on such behaviors, exposure and behavioral sciences have seen a rise in the use of more sensitive and accurate measurement methodologies, primarily using sensors like Global Positioning Systems (GPS) and accelerometers. When coupled with Geographic Information Science data, these three data sources result in dynamic exposure measures that can assess what environments individuals are exposed, where, for how long, and during what behaviors. In this chapter we present three examples of studies that have utilized GPS, accelerometry, and GIS data to better understand cancer risk, disparities, and related behaviors. The goal of the examples is to illustrate decision points that must be made when utilizing GPS data, demonstrate possible processing approaches, and highlight how GPS data can be used in conjunction with GIS and accelerometry to better understand behaviors within specific contexts.

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References

  1. Anzuini F, Battistella A, Izzotti A. Physical activity and cancer prevention: a review of current evidence and biological mechanisms. J Prev Med Hyg. 2011;52:174–80.

    Article  CAS  PubMed  Google Scholar 

  2. Berrigan D, Hipp A, Hurvitz PM, et al. Geospatial and contextual approaches to energy balance and health. Ann GIS. 2015;21:157–68. https://doi.org/10.1080/19475683.2015.1019925.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Carlson JA, Jankowska MM, Meseck K, et al. Validity of PALMS GPS scoring of active and passive travel compared with sensecam. Med Sci Sports Exerc. 2015;47:662–7. https://doi.org/10.1249/MSS.0000000000000446.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Choi L, Ward SC, Schnelle JF, Buchowski MS. Assessment of wear/nonwear time classification algorithms for triaxial accelerometer. Med Sci Sports Exerc. 2012;44:2009–16. https://doi.org/10.1249/MSS.0b013e318258cb36.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Danaei G, Vander Hoorn S, Lopez AD, et al. Causes of cancer in the world: comparative risk assessment of nine behavioural and environmental risk factors. Lancet. 2005;366:1784–93. https://doi.org/10.1016/S0140-6736(05)67725-2.

    Article  PubMed  Google Scholar 

  6. Ding D, Gebel K. Built environment, physical activity, and obesity: what have we learned from reviewing the literature? Health Place. 2012;18:100–5. https://doi.org/10.1016/j.healthplace.2011.08.021.

    Article  PubMed  Google Scholar 

  7. Dodge HH, Zhu J, Mattek NC, et al. Use of high-frequency in-home monitoring data may reduce sample sizes needed in clinical trials. PLoS One. 2015;10:e0138095. https://doi.org/10.1371/journal.pone.0138095.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Dons E, Rojas-Rueda D, Anaya-Boig E, et al. Transport mode choice and body mass index: cross-sectional and longitudinal evidence from a European-wide study. Environ Int. 2018;119:109–16. https://doi.org/10.1016/j.envint.2018.06.023.

    Article  PubMed  Google Scholar 

  9. Dyrstad SM, Hansen BH, Holme IM, Anderssen SA. Comparison of self-reported versus accelerometer-measured physical activity. Med Sci Sports Exerc. 2014;46:99–106. https://doi.org/10.1249/MSS.0b013e3182a0595f.

    Article  PubMed  Google Scholar 

  10. Frank LD, Sallis JF, Saelens BE, et al. The development of a walkability index: application to the neighborhood quality of life study. Br J Sports Med. 2010;44:924–33. https://doi.org/10.1136/bjsm.2009.058701.

    Article  CAS  PubMed  Google Scholar 

  11. González MC, Hidalgo CA, Barabási A-L. Understanding individual human mobility patterns. Nature. 2008;453:779–82. https://doi.org/10.1038/nature06958.

    Article  CAS  PubMed  Google Scholar 

  12. Hurvitz PM, Moudon AV, Kang B, et al. Emerging technologies for assessing physical activity behaviors in space and time. Front public Heal. 2014;2(2) https://doi.org/10.3389/fpubh.2014.00002.

  13. James P, Hart J, Banay R, Laden F. Exposure to greenness and mortality in a nationwide prospective cohort study of women. Environ Health Perspect. 2016a;124:1344–52. https://doi.org/10.1289/ehp.1510363.

    Article  PubMed  PubMed Central  Google Scholar 

  14. James P, Jankowska MM, Marx C, et al. “Spatial Energetics”: integrating data from GPS, accelerometry, and GIS to address obesity and inactivity. Am J Prev Med. 2016b;51:792–800.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Jankowska MM, Schipperijn J, Kerr J. A framework for using GPS data in physical activity and sedentary behavior studies. Exerc Sport Sci Rev. 2015;43:48–56.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Jankowska MM, Sears DD, Natarjan L, et al. Protocol for a cross sectional study of cancer risk, environmental exposures and lifestyle behaviors in a diverse community sample: the community of mine study. BMC Public Health Submitted. 2018;19(1):186.

    Article  Google Scholar 

  17. Kelly P, Doherty AR, Hamilton A, et al. Evaluating the feasibility of measuring travel to school using a wearable camera. Am J Prev Med. 2012;43:546–50. https://doi.org/10.1016/j.amepre.2012.07.027.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Krenn PJ, Titze S, Oja P, et al. Use of global positioning systems to study physical activity and the environment. a systematic review Am J Prev Med. 2011;41:508–15. https://doi.org/10.1016/j.amepre.2011.06.046.

    Article  PubMed  Google Scholar 

  19. Kwan M. The uncertain geographic context problem. Ann Assoc Am Geogr. 2012;102:958–68. https://doi.org/10.1080/00045608.2012.687349.

    Article  Google Scholar 

  20. Lynch BM, Dunstan DW, Healy GN, et al. Objectively measured physical activity and sedentary time of breast cancer survivors, and associations with adiposity: findings from NHANES (2003–2006). Cancer Causes Control. 2010a;21:283–8. https://doi.org/10.1007/s10552-009-9460-6.

    Article  PubMed  Google Scholar 

  21. Lynch BM, Neilson HK, Friedenreich CM. Physical activity and breast cancer prevention. In: Courneya K, Friedenreich C, editors. Physical activity and cancer. Recent Results in Cancer Research. Berlin: Springer; 2010b. p. 13–42.

    Chapter  Google Scholar 

  22. Meseck K, Jankowska MM, Schipperijn J, et al. Is missing geographic positioning system data in accelerometry studies a problem, and is imputation the solution? Geospat Health. 2016;11 https://doi.org/10.4081/gh.2016.403.

  23. OEHHA California communities environmental health screening tool, version 2.0. (CalEnviroScreen 2.0) Guidance and Screening Tool 2014.

    Google Scholar 

  24. Osypuk TL, Acevedo-Garcia D. Beyond individual neighborhoods: a geography of opportunity perspective for understanding racial/ethnic health disparities. Heal Place. 2010;16:1113–23. https://doi.org/10.1016/j.healthplace.2010.07.002.

    Article  Google Scholar 

  25. Patterson RE, Marinac CR, Natarajan L, et al. Recruitment strategies, design, and participant characteristics in a trial of weight-loss and metformin in breast cancer survivors. Contemp Clin Trials. 2016;47:64–71. https://doi.org/10.1016/j.cct.2015.12.009.

    Article  PubMed  Google Scholar 

  26. Patterson RE, Marinac CR, Sears DD, et al. The effects of metformin and weight loss on biomarkers associated with breast cancer outcomes. J Natl Cancer Institute. 2018;2110: 1239–1247. doi: doi.org/https://doi.org/10.1093/jnci/djy040

  27. Perchoux C, Chaix B, Cummins S, Kestens Y. Conceptualization and measurement of environmental exposure in epidemiology: accounting for activity space related to daily mobility. Health Place. 2013;21:86–93. https://doi.org/10.1016/j.healthplace.2013.01.005.

    Article  PubMed  Google Scholar 

  28. Prince SA, Adamo KB, Hamel ME, et al. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act. 2008;5:56. https://doi.org/10.1186/1479-5868-5-56.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Rainham D, McDowell I, Krewski D, Sawada M. Conceptualizing the healthscape: contributions of time geography, location technologies and spatial ecology to place and health research. Soc Sci Med. 2010;70:668–76. https://doi.org/10.1016/j.socscimed.2009.10.035.

    Article  PubMed  Google Scholar 

  30. Sallis JF, Cerin E, Conway TL, et al. Physical activity in relation to urban environments in 14 cities worldwide: a cross-sectional study. Lancet. 2016;387:2207–17. https://doi.org/10.1016/S0140-6736(15)01284-2.

    Article  PubMed  Google Scholar 

  31. Sallis JF, Owen N, Fisher EB. Ecological models of health behavior. In: Glanz K, Rimer B, Viswanath K, editors. Health behavior and health education: theory, research, and practice. 4th ed edn. Jossey-Bass. San Francisco; 2008. p. 465–85.

    Google Scholar 

  32. Silverman B. Density estimation for statistics and data analysis. Chapman Hall. 1986;37:1–22. https://doi.org/10.2307/2347507.

    Article  Google Scholar 

  33. Su LJ. Diet, epigenetics, and cancer. Methods Mol Biol. 2012;863:377–93.

    Article  CAS  PubMed  Google Scholar 

  34. Troiano RP, Berrigan D, Dodd KW, et al. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40:181–8. https://doi.org/10.1249/mss.0b013e31815a51b3.

    Article  PubMed  Google Scholar 

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Correspondence to Marta M. Jankowska .

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Jankowska, M.M., Yang, JA., Kerr, J. (2019). Physical Activity and Exposure in Breast Cancer Survivors Using GPS, GIS and Accelerometry. In: Berrigan, D., Berger, N. (eds) Geospatial Approaches to Energy Balance and Breast Cancer. Energy Balance and Cancer, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-030-18408-7_4

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  • DOI: https://doi.org/10.1007/978-3-030-18408-7_4

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