Anna Zajacova1, Jennifer B Dowd2, Robert F Schoeni3, Robert B Wallace4. 1. Department of Sociology, University of Wyoming, Laramie, Wyoming. 2. CUNY School of Public Health, Hunter College, City University of New York, New York, New York. 3. Institute for Social Research, School of Public Policy, and Department of Economics, University of Michigan, Ann Arbor, Michigan. 4. Department of Epidemiology, University of Iowa, Iowa City, Iowa.
Abstract
BACKGROUND: Cancer presents a substantial hardship for patients and their families in multiple domains beyond health and survival. Relatively little is known about the economic impact of cancer. The authors present estimates of the aggregate effects of a cancer diagnosis on employment and income in a prospective, nationally representative sample of US adults. METHODS: The authors used data from the 1990 through 2009 waves of the Panel Study of Income Dynamics, a nationally representative, prospective, population-based observational study with high-quality individual and family-level economic information. Age-adjusted, sex-stratified, individual fixed-effects regression models were used to derive estimates of the impact of cancer on employment, hours worked, individual income, and total family income. RESULTS: Significant effects of cancer on all 4 outcomes were observed. The probability of a cancer patient being employed dropped by almost 10 percentage points, and hours worked declined by up to 200 hours in the first year after diagnosis. Annual labor-market earnings dropped almost 40% within 2 years after diagnosis and remained low, whereas total family income declined by 20%, although it recovered within 4 years after the diagnosis. These economic impacts on survivors were driven by effects among men; the effects among women largely were not statistically significant. CONCLUSIONS: A cancer diagnosis has substantial effects on the economic well-being of affected adults and their families. With the increasing number of cancer survivors in the US population, there is a growing need for examining the long-term implications for economic well-being and ways to mitigate the economic hardship associated with cancer.
BACKGROUND:Cancer presents a substantial hardship for patients and their families in multiple domains beyond health and survival. Relatively little is known about the economic impact of cancer. The authors present estimates of the aggregate effects of a cancer diagnosis on employment and income in a prospective, nationally representative sample of US adults. METHODS: The authors used data from the 1990 through 2009 waves of the Panel Study of Income Dynamics, a nationally representative, prospective, population-based observational study with high-quality individual and family-level economic information. Age-adjusted, sex-stratified, individual fixed-effects regression models were used to derive estimates of the impact of cancer on employment, hours worked, individual income, and total family income. RESULTS: Significant effects of cancer on all 4 outcomes were observed. The probability of a cancerpatient being employed dropped by almost 10 percentage points, and hours worked declined by up to 200 hours in the first year after diagnosis. Annual labor-market earnings dropped almost 40% within 2 years after diagnosis and remained low, whereas total family income declined by 20%, although it recovered within 4 years after the diagnosis. These economic impacts on survivors were driven by effects among men; the effects among women largely were not statistically significant. CONCLUSIONS:A cancer diagnosis has substantial effects on the economic well-being of affected adults and their families. With the increasing number of cancer survivors in the US population, there is a growing need for examining the long-term implications for economic well-being and ways to mitigate the economic hardship associated with cancer.
Authors: Gery P Guy; Donatus U Ekwueme; K Robin Yabroff; Emily C Dowling; Chunyu Li; Juan L Rodriguez; Janet S de Moor; Katherine S Virgo Journal: J Clin Oncol Date: 2013-09-16 Impact factor: 44.544
Authors: Steffen Torp; Roy A Nielsen; Sophie D Fosså; Saevar B Gudbergsson; Alv A Dahl Journal: Eur J Public Health Date: 2012-01-06 Impact factor: 3.367
Authors: K E Covinsky; L Goldman; E F Cook; R Oye; N Desbiens; D Reding; W Fulkerson; A F Connors; J Lynn; R S Phillips Journal: JAMA Date: 1994-12-21 Impact factor: 56.272
Authors: Jill A Bennett; Paul Brown; Linda Cameron; Lisa C Whitehead; David Porter; Katherine M McPherson Journal: Support Care Cancer Date: 2008-11-27 Impact factor: 3.603
Authors: Sara Paltrinieri; Massimo Vicentini; Elisa Mazzini; Elena Ricchi; Stefania Fugazzaro; Pamela Mancuso; Paolo Giorgi Rossi; Stefania Costi Journal: Support Care Cancer Date: 2019-05-25 Impact factor: 3.603
Authors: Ryan D Nipp; Amy M Shui; Giselle K Perez; Anne C Kirchhoff; Jeffrey M Peppercorn; Beverly Moy; Karen Kuhlthau; Elyse R Park Journal: JAMA Oncol Date: 2018-06-01 Impact factor: 31.777
Authors: Mark C Hornbrook; Marcia Grant; Christopher Wendel; Joanna E Bulkley; Carmit K Mcmullen; Andrea Altschuler; Larissa Kf Temple; Lisa J Herrinton; Robert S Krouse Journal: Perm J Date: 2018
Authors: Janet S de Moor; Kisha Coa; Erin E Kent; Carmen Moten; Sarah Kobrin; Cheryl Altice; K Robin Yabroff Journal: J Cancer Surviv Date: 2018-10-03 Impact factor: 4.442