Does cancer reduce labor market entry? Evidence for prime-age females

Survivorship, Version 1.2021

The NCCN Guidelines for Survivorship are intended to help healthcare professionals working with cancer survivors to ensure that each survivor's complex and varied needs are addressed. The Guidelines provide screening, evaluation, and treatment recommendations for consequences of adult-onset cancer and its treatment; recommendations to help promote healthful lifestyle behaviors, weight management, and immunizations in survivors; and a framework for care coordination. This article summarizes the recommendations regarding employment and return to work for cancer survivors that were added in the 2021 version of the NCCN Guidelines.

Paid work, household work, or leisure? Time allocation pathways among women following a cancer diagnosis

BACKGROUND

There is extensive evidence on the relationship between receiving a cancer diagnosis and labour market outcomes. However, there is limited evidence on the relationship between a cancer diagnosis and non-labour market outcomes such as household work, passive leisure and physical leisure. Furthermore, most current research focuses on time allocation at a given time point, ignoring both the life course perspective and long term effects.

METHODS

Using data from the Australian Longitudinal Study on Women's Health (ALSWH), we observe time allocation for 91 women diagnosed with breast cancer and 486 women diagnosed with skin cancer, and 2711 women living without cancer. Our analysis is unique in combining sequence analysis and multivariate multinomial logit modelling. Using sequence analysis, we first analyse life-courses post a cancer diagnosis for paid work, household work, passive leisure and physical leisure from 2004 to 2016. Using multivariate multinomial logit modelling, we test whether a cancer diagnosis influences such life-courses. We consider the robustness of results to cancer severity and change in time allocation before and after a cancer diagnosis.

RESULTS

We identify three clusters for paid work and two clusters for household work, passive leisure and physical leisure. Neither a breast cancer nor skin cancer diagnosis has a significant effect on the pathways of time allocation. Such results are robust to severity of diagnosis with 'cured' and 'non-cured' breast cancer, and skin cancer treated with and without 'chemotherapy or radiotherapy'. Women post a breast cancer diagnosis are less likely to maintain their pre-cancer's time use on paid work, household work and passive leisure; however, such effects are not significant.

CONCLUSION

Being diagnosed with breast cancer or skin cancer has no significant long-term effect on the pathways of time allocation. Future work should explore the relationship between time allocation and wellbeing and the preference for time allocation.

Impact of sociodemographic characteristics on underemployment in a longitudinal, nationally representative study of cancer survivors: Evidence for the importance of gender and marital status

BACKGROUND

We examined the longitudinal association between sociodemographic factors and an expanded definition of underemployment among those with and without cancer history in the United States.

METHODS

Medical Expenditure Panel Survey data (2007-2013) were used in multivariable regression analyses to compare employment status between baseline and two-year follow-up among adults aged 25-62 years at baseline (n = 1,614 with and n = 39,324 without cancer). Underemployment was defined as becoming/staying unemployed, changing from full to part-time, or reducing part-time work significantly. Interaction effects between cancer history/time since diagnosis and predictors known to be associated with employment patterns, including age, gender/marital status, education, and health insurance status at baseline were modeled.

RESULTS

Approximately 25% of cancer survivors and 21% of individuals without cancer reported underemployment at follow-up (p = 0.002). Multivariable analyses indicated that those with a cancer history report underemployment more frequently (24.7%) than those without cancer (21.4%, p = 0.002) with underemployment rates increasing with time since cancer diagnosis. A significant interaction between gender/marital status and cancer history and underemployment was found (p = 0.0004). There were no other significant interactions. Married female survivors diagnosed >10 years ago reported underemployment most commonly (38.7%), and married men without cancer reported underemployment most infrequently (14.0%). A wider absolute difference in underemployment reports for married versus unmarried women as compared to married versus unmarried men was evident, with the widest difference apparent for unmarried versus married women diagnosed >10 years ago (18.1% vs. 38.7%).

CONCLUSION

Cancer survivors are more likely to experience underemployment than those without cancer. Longer time since cancer diagnosis and gender/marital status are critical factors in predicting those at greatest risk of underemployment. The impact of cancer on work should be systematically studied across sociodemographic groups and recognized as a component of comprehensive survivorship care.

Employment, job skills and occupational mobility of cancer survivors

Previous studies find significant negative effects of cancer on employment, with stronger effects for less-educated workers. We investigate whether the effect of cancer varies by skill requirement in the pre-cancer occupation, whether such heterogeneity can explain educational gradients, and whether cancer is associated with changes in job characteristics for cancer survivors who remain employed four years after the diagnosis. We combine Danish administrative registers with detailed skill requirement data and use individuals without cancer as a control group. Our main findings are the following: the negative effect of cancer on employment is stronger if the pre-cancer occupation requires high levels of manual skills or low levels of cognitive skills; the educational gradient diminishes substantially if we allow the effects of cancer to also depend on pre-cancer skill requirements; and cancer is not associated with occupational mobility, indicating potential for policies that reduce labour market frictions for cancer survivors.

Rectal Cancer Survivors' Participation in Productive Activities

CONTEXT

Rectal cancer and its treatment impair survivors' productivity.

OBJECTIVE

To assess determinants of market and nonmarket employment, job search, volunteering, and homemaking among survivors five years or longer after diagnosis.

DESIGN

We mailed questionnaires to 1063 survivors who were members of Kaiser Permanente (Northern California, Northwest) during 2010 and 2011.

MAIN OUTCOME MEASURES

Productive activities, functional health status, and bowel management at the time of the survey.

RESULTS

Response rate was 60.5% (577/953). Higher comorbidity burdens were associated with lower productivity for men and women rectal cancer survivors. Productive survivors were younger and had lower disease stage and age at diagnosis, higher household income and educational attainment, and fewer comorbidity burdens and workplace adjustments than did nonproductive survivors (p < 0.05 each; 2-sided). Productive rectal cancer survivors were evenly split by sex.

CONCLUSION

Staying productive is associated with better mental health for rectal cancer survivors. Rectal cancer survivors with multiple chronic conditions, higher disease stage, lower productive activities, and older age need better access to medical care and closer monitoring of the quality of their care, including self-care. To capture the full extent of the involvement of survivors in all types of productive activities, research should routinely include measures of employment, searching for employment, homemaking, and volunteering. Counting market and nonmarket productive activities is innovative and recognizes the continuum of contributions survivors make to families and society. Health care systems should routinely monitor rectal cancer survivors' medical care access, comorbidities, health-related quality of life, and productive activities.