|Grant Number:||5R01CA112159-05 Interpret this number|
|Primary Investigator:||Schootman, Mario|
|Project Title:||Neighborhood Effects on Quality of Life in Breast Cancer|
DESCRIPTION (provided by applicant): With improved survival following breast cancer, there is increasing focus on the health-related quality of life (QoL) of breast cancer survivors. Although neighborhood disadvantage affects adult health behaviors, breast cancer incidence and survival, and QoL of the general population independent of individual-level factors, little attention has been directed toward such neighborhood factors related to QoL following breast cancer diagnosis. The following aims will be addressed in this revised application: 1) Determine the extent of geographic clustering of the change in QoL over time among women with and those without breast cancer at the level of the census tract; 2) Determine the extent to which the change in QoL over time can be explained by neighborhood disadvantage among women with breast cancer and among women without breast cancer; and 3) Identify potential pathways by which neighborhood disadvantage affects changes in QoL over time among women with breast cancer. The proposed prospective, population-based study will extend the current model of individual-level factors and QoL to a multilevel approach by including neighborhood indicators of social and economic disadvantage at the census tract level among women with breast cancer as compared to community-dwelling women without breast cancer. Women with breast cancer will be identified one year following their diagnosis by the Missouri Cancer Registry (MCR). Following consent, they will be interviewed at this time as well as one year later to assess changes over time in QoL. A population-based control group of community-dwelling women without breast cancer will be identified through random-digit dialing and interviewed at similar time points. A composite index of neighborhood disadvantage will be constructed from census data. The multilevel nature of the study makes it possible to identify barriers as part of hypothesized pathways that could be targeted by intervention studies aimed at several levels (e.g., individual and neighborhoods simultaneously) using a multi-pronged approach to improve QoL, as recently recommended by the Institute of Medicine.
The utility of Google Trends data to examine interest in cancer screening.
Authors: Schootman M, Toor A, Cavazos-Rehg P, Jeffe DB, McQueen A, Eberth J, Davidson NO
Source: BMJ Open, 2015 Jun 8;5(6), p. e006678.
EPub date: 2015 Jun 8.
Breakfast intake among adults with type 2 diabetes: influence on daily energy intake.
Authors: Jarvandi S, Schootman M, Racette SB
Source: Public Health Nutr, 2015 Aug;18(12), p. 2146-52.
EPub date: 2014 Dec 22.
Postoperative 30-day mortality in patients undergoing surgery for colorectal cancer: development of a prognostic model using administrative claims data.
Authors: de Vries S, Jeffe DB, Davidson NO, Deshpande AD, Schootman M
Source: Cancer Causes Control, 2014 Nov;25(11), p. 1503-12.
EPub date: 2014 Aug 8.
Hospital and geographic variability in two colorectal cancer surgery outcomes: complications and mortality after complications.
Authors: Schootman M, Lian M, Pruitt SL, Hendren S, Mutch M, Deshpande AD, Jeffe DB, Davidson NO
Source: Ann Surg Oncol, 2014 Aug;21(8), p. 2659-66.
EPub date: 2014 Apr 21.
Hospital and geographic variability in thirty-day all-cause mortality following colorectal cancer surgery.
Authors: Schootman M, Lian M, Pruitt SL, Deshpande AD, Hendren S, Mutch M, Jeffe DB, Davidson N
Source: Health Serv Res, 2014 Aug;49(4), p. 1145-64.
EPub date: 2014 Mar 27.
Increased risk of colorectal cancer in type 2 diabetes is independent of diet quality.
Authors: Jarvandi S, Davidson NO, Schootman M
Source: PLoS One, 2013;8(9), p. e74616.
EPub date: 2013 Sep 12.
Alcohol outlet availability and excessive alcohol consumption in breast cancer survivors.
Authors: Schootman M, Deshpande AD, Lynskey MT, Pruitt SL, Lian M, Jeffe DB
Source: J Prim Care Community Health, 2013 Jan;4(1), p. 50-8.
EPub date: 2012 Apr 18.
Perceived social support change in patients with early stage breast cancer and controls.
Authors: Thompson T, Rodebaugh TL, Pérez M, Schootman M, Jeffe DB
Source: Health Psychol, 2013 Aug;32(8), p. 886-95.
EPub date: 2013 Mar 11.
Do diagnostic and treatment delays for colorectal cancer increase risk of death?
Authors: Pruitt SL, Harzke AJ, Davidson NO, Schootman M
Source: Cancer Causes Control, 2013 May;24(5), p. 961-77.
EPub date: 2013 Feb 28.
The modifying effect of patient location on stage-specific survival following colorectal cancer using geosurvival models.
Authors: Chien LC, Schootman M, Pruitt SL
Source: Cancer Causes Control, 2013 Mar;24(3), p. 473-84.
EPub date: 2013 Jan 10.
Income disparity and risk of death: the importance of health behaviors and other mediating factors.
Authors: Jarvandi S, Yan Y, Schootman M
Source: PLoS One, 2012;7(11), p. e49929.
EPub date: 2012 Nov 19.
Mediators of the effect of neighborhood poverty on physical functioning among breast cancer survivors: a longitudinal study.
Authors: Pruitt SL, McQueen A, Deshpande AD, Jeffe DB, Schootman M
Source: Cancer Causes Control, 2012 Sep;23(9), p. 1529-40.
EPub date: 2012 Jul 26.
Estimated effects of potential interventions to prevent decreases in self-rated health among breast cancer survivors.
Authors: Schootman M, Deshpande AD, Pruitt S, Aft R, Jeffe DB
Source: Ann Epidemiol, 2012 Feb;22(2), p. 79-86.
Neighborhood foreclosures and self-rated health among breast cancer survivors.
Authors: Schootman M, Deshpande AD, Pruitt SL, Jeffe DB
Source: Qual Life Res, 2012 Feb;21(1), p. 133-41.
EPub date: 2011 May 18.
The association between chronic disease burden and quality of life among breast cancer survivors in Missouri.
Authors: Deshpande AD, Sefko JA, Jeffe DB, Schootman M
Source: Breast Cancer Res Treat, 2011 Oct;129(3), p. 877-86.
EPub date: 2011 Apr 26.
Reliability of perceived neighbourhood conditions and the effects of measurement error on self-rated health across urban and rural neighbourhoods.
Authors: Pruitt SL, Jeffe DB, Yan Y, Schootman M
Source: J Epidemiol Community Health, 2012 Apr;66(4), p. 342-51.
EPub date: 2010 Nov 23.
Concordance of commercial data sources for neighborhood-effects studies.
Authors: Hoehner CM, Schootman M
Source: J Urban Health, 2010 Jul;87(4), p. 713-25.
National estimates of racial disparities in health status and behavioral risk factors among long-term cancer survivors and non-cancer controls.
Authors: Schootman M, Deshpande AD, Pruitt SL, Aft R, Jeffe DB
Source: Cancer Causes Control, 2010 Sep;21(9), p. 1387-95.
EPub date: 2010 Apr 17.
An evaluation of lower-body functional limitations among long-term survivors of 11 different types of cancers.
Authors: Schootman M, Aft R, Jeffe DB
Source: Cancer, 2009 Nov 15;115(22), p. 5329-38.
Reliability of health-related quality-of-life indicators in cancer survivors from a population-based sample, 2005, BRFSS.
Authors: Kapp JM, Jackson-Thompson J, Petroski GF, Schootman M
Source: Public Health, 2009 Apr;123(4), p. 321-5.
EPub date: 2008 Dec 9.