Erratum: Working with cancer: health and employment among cancer survivors (Annals of Epidemiology (2015) 25(11) (832–838) (S1047279715003373)(10.1016/j.annepidem.2015.07.011));Working with cancer: Health and employment among cancer survivors

Annals of Epidemiology

Volumn 25, Issue 11, 2015, Pages 832-838

  Clarke, Tainya C ^a   Christ, Sharon L ^b,c   Soler Vila, Hosanna ^a,d   Lee, David J ^a   Arheart, Kristopher L ^a   Prado, Guillermo ^a   Martinez, Alberto Caban ^a   Fleming, Lora E ^a,e  

^a UNIVERSITY OF MIAMI MILLER SCHOOL OF MEDICINE   (United States)

^b PURDUE UNIVERSITY   (United States)

^c PURDUE UNIVERSITY   (United States)

^d UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

^e UNIVERSITY OF EXETER MEDICAL SCHOOL   (United Kingdom)

Author keywords

Cancer; Employment; Epidemiology; Health policy; Survivors; Survivorship

Indexed keywords

ADULT; AGED; ARTICLE; CANCER DIAGNOSIS; CANCER LOCALIZATION; CANCER SURVIVOR; CLINICAL INDICATOR; DAILY LIFE ACTIVITY; EDUCATIONAL STATUS; EMPLOYMENT STATUS; FEMALE; HEALTH INSURANCE; HEALTH STATUS; HEALTH SURVEY; HISPANIC; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICAL HISTORY; MENTAL HEALTH; MIDDLE AGED; PRIORITY JOURNAL; QUALITY OF LIFE; SELF REPORT; SOCIAL SUPPORT; STRUCTURAL EQUATION MODELING; ADOLESCENT; AFRICAN AMERICAN; CAUCASIAN; CROSS-SECTIONAL STUDY; EMPLOYMENT; HEALTH DISPARITY; HEALTH STATUS INDICATOR; NEOPLASMS; PSYCHOLOGY; STATISTICS AND NUMERICAL DATA; SURVIVOR; UNITED STATES; YOUNG ADULT;

ADOLESCENT; ADULT; AFRICAN AMERICANS; AGED; CROSS-SECTIONAL STUDIES; EDUCATIONAL STATUS; EMPLOYMENT; EUROPEAN CONTINENTAL ANCESTRY GROUP; FEMALE; HEALTH STATUS DISPARITIES; HEALTH STATUS INDICATORS; HISPANIC AMERICANS; HUMANS; INSURANCE, HEALTH; MALE; MIDDLE AGED; NEOPLASMS; QUALITY OF LIFE; SURVIVORS; UNITED STATES; YOUNG ADULT;

EID: 84945435282     PISSN: 10472797     EISSN: 18732585     Source Type: Journal    
DOI: 10.1016/j.annepidem.2016.06.010     Document Type: Erratum

References (40)

1. Hoffman B. Cancer survivors at work: a generation of progress. CA Cancer J Clin 2005, 55:271-280.
2. Horner M.J., Ries L.A.G., Krapcho M., Neyman N., Aminou R., Howlander N., et al. SEER Cancer Statistics Review, 1975-2006 2009, National Cancer Institute, Bethesda, MD.
3. Amir Z., Brocky J. Cancer survivorship and employment: epidemiology. Occup Med (Lond) 2009, 59(6):373-377.
4. Spelten E.R., Sprangers M.A., Verbeek J.H. Factors reported to influence the return to work of cancer survivors: a literature review. Psychooncology 2002, 11:124-131.
5. Short P., Vasey J.J., Tuncelli K. Employment pathways in a large cohort of adult cancer survivors. Cancer 2005, 103:1292-1301.
6. Hewitt M., Rowland J.H., Yancik R. Cancer survivors in the United States: age, health, and disability. J Gerontol A Biol Sci Med Sci 2003, 58:82-91.
7. Bouknight R.R., Bradley C.J., Luo Z. Correlates of return to work for breast cancer survivors. J Clin Oncol 2006, 24(3):345-353.
8. Rowland J.H., Yancik R. Cancer survivorship: the interface of aging, comorbidity, and quality care. J Natl Cancer Inst 2006, 98:504-505.
9. Dellapasqua S., Colleoni M., Goldhirsch A. Focusing on physical function limitations in elderly women surviving cancer: any opportunity for improvement?. Nat Clin Pract Oncol 2006, 3:598-599.
10. Sweeney C., Schmitz K.H., Lazovich D., Virnig B.A., Wallace R.B., Folsom A.R. Functional limitations in elderly female cancer survivors. J Natl Cancer Inst 2006, 98(8):521-529.
11. Sehl M.E., Satariano W.A., Ragland D.A., Reuben D.B., Naeim A. Attribution of functional limitation to cancer decreases in the year following breast cancer diagnosis in older patients. Crit Rev Oncol Hematol 2009, 71(1):62-69.
12. Botman S.L., Moore T.F., Moriarity C.L., Parsons V.L. Design and estimation for the National Health Interview Survey, 1995-2004. Vital Health Stat 2000, 2(130). National Center for Health Statistics.
13. National Health Interview Survey (NHIS). Survey Description documents. Division of Health InterviewStatistics, National Center for Health Statistics, Hyattsville, Maryland. Centers for Disease Control and Prevention. U.S. Department of Health and Human Services, 2014. [accessed 19.7.2012]. http://www.cdc.gov/nchs/nhis/quest_data_related_1997_forward.htm.
14. Cancer Facts & Figures 2012 2012, American Cancer Society, American Cancer Society, Atlanta.
15. Verbrugge L.M., Jette A.M. The disablement process. Soc Sci Med 1994, 38:1-14.
16. National Cancer Institute. Dictionary of Cancer terms. [accessed 6.6.2011]. http://www.cancer.gov/dictionary?cdrid=430402.
17. Kessler R.C., Andrews G., Mroczek D., Ustun T.B., Wittchen H.U. The World Health Organization Composite International Diagnostic Interview Short-Form (CIDI-SF). Int J Methods Psychiatr Res 1998, 7:171-185.
18. Cohen R.A. Using the National Health Interview Survey to monitor health insurance and access to care. In: JSM Proceedings of the Section on Health Policy Statistics 2009, 108-118. American Statistical Association, Alexandria, VA.
19. SAS Institute. Survey data analysis. [accessed 10.11.2014]. http://support.sas.com/documentation/cdl/en/statug/66859/HTML/default/viewer.htm#statug_introsamp_sect019.htm.
20. Muthén B., Muthén L. Mplus user's guide 1998-2010, Muthén & Muthén, Los Angeles, CA. 6 th ed.
21. Parsons V.L., Moriarity C.L., Jonas K., Moore T.F., Davids K.E., Tompkins L. Design and estimation for the National Health Interview Survey, 2006-2015. Vital Health Stat 2 2014, 2(165). National Center for Health Statistics.
22. Kline R.B. Principles and practice of structural equation modeling 2010, Guilford Press, New York. 3rd ed.
23. Kenny D.A. Assessing model fit 2010, [accessed 23.9.2010]. http://davidakenny.net/cm/fit.html.
24. Bentler P.M., Bonnet D.C. Significance tests and goodness of fit in the analysis of covariance structures. Psychol Bull 1980, 88(3):588-606.
25. Jöreskog K., Sörbom D. LISREL 8: structural equation modeling with the SIMPLIS command language 1993, Scientific Software International Inc, Chicago, IL.
26. Bradley C.J., Neumark D., Luo Z., Bednarek H.L. Employment-contingent health insurance, illness, and labor supply of women: evidence from married women with breast cancer. Health Econ 2007, 16:19-37.
27. Finkelstein E.A., Tangka F.K., Trogdon J.G., Sabatino S.A., Richardson L.C. The personal financial burden of cancer for the working age population. Am J Manag Care 2011, 15:801-806.
28. Nekhlyudov L., Madden J., Johnson Graves A., Zhang F., Soumerai S.B., Ross-Degnan D. Cost-related medication nonadherence and cost-saving strategies used by elderly Medicare cancer survivors. J Cancer Surviv 2011, 5(4):395-404.
29. Brännlund A., Hammarström A. Higher education and psychological distress: a 27-year prospective cohort study in Sweden. Scand J Public Health 2014, 42(2):155-162.
30. Zimmer Z., House J.S. Education, income, and functional limitation transitions among American adults: contrasting onset and progression. Int J Epidemiol 2003, 32:1089-1097.
31. Fletcher J.M., Frisvold D.E. Higher education and health investments: does more schooling affect preventive health care use?. J Hum Cap 2009, 3(2):144-176.
32. Center for economic and policy research. Hard work? Patterns in physically demanding labor among older workers [accessed 26.10.2014]. http://www.cepr.net/documents/publications/older-workers-2010-08.pdf.
33. Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, White-collar workers more likely to receive disability benefits in small establishments [accessed 26.10.2014]. http://www.bls.gov/opub/ted/1999/May/wk3/art04.htm.
34. Clarke T.C., Soler-Vila H., Lee D.J., Arheart K.L., Ocasio M.A., LeBlanc W.G., Fleming L.E. Working with cancer: health and disability disparities among employed cancer survivors in the U.S. Prev Med 2011, 53(4-5):331-334.
35. Pransky G. Work and cancer survivors. J Occup Environ Med 2010, 52(1):111.
36. Labor force characteristics by race and ethnicity, 2008 2009, U. S. Bureau of Labor Statistics, U.S. Department of Labor, Washington, DC, [accesseed 23.9.2010]. http://www.bls.gov/cps/cpsrace2009.pdf.
37. Toldson I.A., Snitman A. Education parity and economic disparities: correcting education attainment discrepancies among Black people in the United States. J Negro Educ 2010, 79:1-5. [accessed 10.9.2011]. http://www.highbeam.com.
38. Soler-Vila H., Kasl S.V., Jones B.A. Prognostic significance of psychosocial factors in African-American and white breast cancer patients: a population-based study. Cancer 2003, 98(6):1299-1308.
39. Wilson W.J. The Truly disadvantaged: the inner city, the underclass, and public policy 1987, University of Chicago Press, Chicago.
40. Wilson W.J. Social theory and the concept 'underclass'. Poverty and inequality 2006, Stanford University Press, Stanford. D.B. Grusky, R. Kanbur (Eds.).