Lisa I Iezzoni1,2, Sowmya R Rao3,4, Nicole D Agaronnik1, Areej El-Jawahri2. 1. Health Policy Research Center-Mongan Institute, Massachusetts General Hospital. 2. Department of Medicine, Harvard Medical School. 3. Massachusetts General Hospital Biostatistics Center; and. 4. Boston University School of Public Health, Boston, Massachusetts.
Abstract
BACKGROUND: Approximately 61 million Americans have a disability. Little research has explored whether disability is associated with subsequent diagnosis of cancer, the second-leading cause of death in the United States. The objective of this study was to explore associations between cancer and disability, focusing on 4 cancers that may present with nonspecific symptoms that could be conflated with aspects of disability, thus delaying cancer diagnoses. An analysis of a nationally representative survey using sampling weights to produce national estimates was performed. METHODS: Civilian, noninstitutionalized US residents responding to the 2010-2017 National Health Interview Surveys totaling 259,392 Sample Adult Core survey respondents were included. We used self-reported functional status limitations to identify persons with movement difficulties (MD), complex activity limitations (CAL), and no disability. Multivariable regressions predicting cancer diagnosis included sociodemographic characteristics, tobacco use, body mass index, access to care indicators, and disability status. RESULTS: Persons with preexisting disability had significantly higher rates of cancer (ranging from 0.40 [SE, 0.05] for ovarian to 3.38 [0.14] for prostate) than did those without disability (0.20 [0.02] and 1.26 [0.04] for the same cancers; all P<.0001). Multivariable analyses found strong associations of preexisting MD and CAL with colorectal cancer, with adjusted odds ratios (aORs) of 1.5 (95% CI, 1.2-1.9) and 1.9 (1.5-2.4), respectively. For non-Hodgkin's lymphoma, the aOR for CAL was 1.5 (1.1-2.1). For prostate cancer, aORs for MD were 1.2 (1.0-1.3) and 1.1 (1.0-1.3) for CAL. Using cross-sectional survey data, we could only identify statistical associations, not causality. CONCLUSIONS: Our population-based analyses suggest that persons with disability may constitute a high-risk population, with higher cancer incidence. Optimizing appropriate screening and fully investigating new signs and symptoms are therefore critical for patients with disability.
BACKGROUND: Approximately 61 million Americans have a disability. Little research has explored whether disability is associated with subsequent diagnosis of cancer, the second-leading cause of death in the United States. The objective of this study was to explore associations between cancer and disability, focusing on 4 cancers that may present with nonspecific symptoms that could be conflated with aspects of disability, thus delaying cancer diagnoses. An analysis of a nationally representative survey using sampling weights to produce national estimates was performed. METHODS: Civilian, noninstitutionalized US residents responding to the 2010-2017 National Health Interview Surveys totaling 259,392 Sample Adult Core survey respondents were included. We used self-reported functional status limitations to identify persons with movement difficulties (MD), complex activity limitations (CAL), and no disability. Multivariable regressions predicting cancer diagnosis included sociodemographic characteristics, tobacco use, body mass index, access to care indicators, and disability status. RESULTS: Persons with preexisting disability had significantly higher rates of cancer (ranging from 0.40 [SE, 0.05] for ovarian to 3.38 [0.14] for prostate) than did those without disability (0.20 [0.02] and 1.26 [0.04] for the same cancers; all P<.0001). Multivariable analyses found strong associations of preexisting MD and CAL with colorectal cancer, with adjusted odds ratios (aORs) of 1.5 (95% CI, 1.2-1.9) and 1.9 (1.5-2.4), respectively. For non-Hodgkin's lymphoma, the aOR for CAL was 1.5 (1.1-2.1). For prostate cancer, aORs for MD were 1.2 (1.0-1.3) and 1.1 (1.0-1.3) for CAL. Using cross-sectional survey data, we could only identify statistical associations, not causality. CONCLUSIONS: Our population-based analyses suggest that persons with disability may constitute a high-risk population, with higher cancer incidence. Optimizing appropriate screening and fully investigating new signs and symptoms are therefore critical for patients with disability.
Authors: Timothy F Marshall; Catherine M Alfano; Alix G Sleight; Richard P Moser; David S Zucker; Elise L Rice; Julie K Silver; Vishwa S Raj; Jack B Fu; Lynne S Padgett; Kathleen Doyle Lyons; Mary Vining Radomski; Raymond McKenna; Mackenzi Pergolotti Journal: Disabil Rehabil Date: 2019-02-19 Impact factor: 3.033
Authors: Kirsten Bibbins-Domingo; David C Grossman; Susan J Curry; Karina W Davidson; John W Epling; Francisco A R García; Matthew W Gillman; Diane M Harper; Alex R Kemper; Alex H Krist; Ann E Kurth; C Seth Landefeld; Carol M Mangione; Douglas K Owens; William R Phillips; Maureen G Phipps; Michael P Pignone; Albert L Siu Journal: JAMA Date: 2016-06-21 Impact factor: 56.272
Authors: Guy Shefer; Sean Cross; Louise M Howard; Joanna Murray; Graham Thornicroft; Claire Henderson Journal: J Psychosom Res Date: 2015-01-24 Impact factor: 3.006
Authors: Lisa I Iezzoni; Sowmya R Rao; Julie Ressalam; Dragana Bolcic-Jankovic; Karen Donelan; Nicole Agaronnik; Tara Lagu; Eric G Campbell Journal: Jt Comm J Qual Patient Saf Date: 2021-06-23