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International Journal of Environmental Research and Public Health logoLink to International Journal of Environmental Research and Public Health
. 2021 Jul 13;18(14):7452. doi: 10.3390/ijerph18147452

Employment of Young Adult Cancer Caregivers, Other Disease Caregivers, and Non-Caregiving Adults

Echo L Warner 1,2,*, Andrew R Wilson 3, Jessica G Rainbow 2, Lee Ellington 4,5, Anne C Kirchhoff 5,6
Editors: Erin DeFries Bouldin, Mary Jo Pugh
PMCID: PMC8305716  PMID: 34299903

Abstract

Young adults are increasingly taking on caregiving roles in the United States, and cancer caregivers often experience a greater burden than other caregivers. An unexpected caregiving role may disrupt caregiver employment, leading to lost earning potential and workforce re-entry challenges. We examined caregiving employment among young adult caregivers (i.e., family or friends) using the 2015 Behavioral Risk Factor Surveillance System (BRFSS), which included caregiving, employment, and sociodemographic variables. Respondents’ ages varied between 18 and 39, and they were categorized as non-caregivers (n = 16,009), other caregivers (n = 3512), and cancer caregivers (n = 325). Current employment was compared using Poisson regressions to estimate adjusted incidence rate ratios (aIRR) and 95% confidence intervals (95% CI), including gender-stratified models. We estimated employment by cancer caregiving intensity (low, moderate, high). Cancer caregivers at all other income levels were more likely to be employed than those earning below USD 20,000 (aIRR ranged: 1.88–2.10, all p < 0.015). Female cancer caregivers who were 25–29 (aIRR = 0.71, 95% CI = 0.51–1.00) and single (aIRR = 0.70, 95% CI = 0.52–0.95) were less likely to be employed than their counterparts. College-educated males were 19% less likely to be employed than high school-educated caregivers (95% CI = 0.68–0.98). Evaluating caregiver employment goals and personal financial situations may help identify those at risk for employment detriments, especially among females, those with lower educational attainment, and those earning below USD 20,000 annually.

Keywords: adolescent and young adult, cancer caregiver, employment, caregiver, caregiving intensity

1. Introduction

In the United States, there are 1.46 million cancer caregivers aged 18–34 [1]. Cancer caregiving is associated with greater caregiver burden (e.g., number caregiving hours, activities of daily living, instrumental activities of daily living) than caring for patients with other diseases [1]. Among other factors, caregiving burden influences cancer caregivers’ employment [2,3,4], and a quarter to a third take extended leave [3,4].

The number of working-age young adults engaged in caregiving continues to grow [1]. Caregiving among young adults is often unexpected, occurring simultaneously with other caregiving roles (e.g., for children, parents, grandparents) [5,6]. Engaging in high-intensity caregiving when young adults have yet to establish career stability may be detrimental to employment. We hypothesized that higher intensity caregiving and female gender would be negatively associated with employment among young adult caregivers, particularly for young adult cancer caregivers given their high levels of caregiver burden.

2. Materials and Methods

We used the 2015 Behavioral Risk Factor Surveillance System (BRFSS), a nationally representative computer-assisted survey of non-institutionalized adults in the United States that collects data on preventive health behaviors and risk factors [7]. The 2015 BRFSS is a publicly available combined telephone and landline survey, with a median response rate of 47.2%. The BRFSS and caregiver module are described elsewhere [8].

2.1. Participants and Outcome

There were 441,456 participants in the 2015 BRFSS; 24 states incorporated a 9-item caregiving module (n = 108,995). Of these, n = 20,187 were young adults aged 18–39. Caregivers were identified by the question “During the past 30 days, did you provide regular care or assistance to a family member who has a health problem or disability?” Cancer caregivers were identified by asking “What is the main health problem, long-term illness, or disability that the person you care for has?” We excluded respondents who were missing/refused for these questions. Our analytic sample included three mutually exclusive participant categories: n = 16,009 non-caregivers, n = 3512 other caregivers, and n = 325 cancer caregivers.

Our outcome was a binary variable indicating current employment for wages/self-employed versus unemployed/unable to work (including respondents who were out of work for one year or more, out of work for less than one year, and unable to work). Homemakers, students, and/or retirees were excluded from employment analyses (n = 3689).

2.2. Other Measures

Sociodemographic variables included age, gender, race/ethnicity, marital status, and education. The caregiving intensity composite assigns points for managing personal care (e.g., giving medications, feeding, dressing, bathing), household care (e.g., cleaning, finances, meals), and hours of care provided per week [1,9]. Points are summed (0–8 points) based on personal care (+3 points), household care (+3), personal care and household care (+4), and the number of hours per week engaged in caregiving (+1–4 assigned to the following categories 0–8, 9–19, 20–39, and ≥40 h) [9]. We categorized intensity as low (1–4 points), moderate (5 points), and high (6–8 points) [9].

2.3. Statistical Analysis

Complex survey weighting procedures were incorporated into all analyses. Descriptive statistics were calculated using raw counts and BRFSS weight-adjusted proportions. Sociodemographic factors were compared between cancer caregivers and non-caregivers using Pearson χ2 tests, and then between caregivers of other conditions and cancer caregivers. We estimated crude incidence rate ratios (IRR) and adjusted incidence rate ratios (aIRR) and 95% confidence intervals (95% CI) using survey-weighted Poisson regression models with robust standard errors for common outcomes [10]. We compared the employment of non-caregivers to other caregivers and cancer caregivers. Among cancer caregivers, we estimated models of employment by caregiving intensity, age, gender, race/ethnicity, marital status, education, and annual household income, and ran adjusted models stratified by gender. All data were analyzed using Stata 16.

3. Results

Cancer caregivers were less likely to be unemployed/unable to work than other caregivers (14.1% vs. 20.3%, Table 1). More cancer caregivers were older (18–24 years: 32.0% vs. 29.7%, 25–29 years: 22.2% vs. 19.2%, p < 0.001) than Other caregivers, but younger than non-caregivers (p < 0.001). Cancer caregivers tended to have lower incomes than non-caregivers (p = 0.036). Compared to cancer caregivers, other caregivers differed by age, education, and income (all p < 0.01).

Table 1.

Sociodemographic factors for young adult cancer caregivers, non-caregivers, and other caregivers.

Cancer Caregivers
n = 325
Non-Caregivers
n = 16,009
Other Caregivers
n = 3512
N % 1 N % 1 p-Value 2 N % 1 p-Value 3
Employment status 6
 Employed for wages/self-employed 230 85.9 11,462 85.9 0.990 2517 79.7 <0.001
 Unemployed/unable to work 43 14.1 1659 14.1 572 20.3
  Out of work for 1 year or more 5 12 43.2 430 29.3 0.222 168 29.4 0.562
  Out of work for less than 1 year 5 14 23.6 619 40.2 225 42.5
  Unable to work 5 17 33.2 610 30.5 179 28.1
Age
 18–24 74 32.0 4618 34.0 <0.001 684 29.7 <0.001
 25–29 72 22.2 3475 20.2 620 19.2
 30–34 86 26.3 4082 24.1 828 26.4
 35–39 93 19.4 4650 21.7 957 24.7
Gender
 Female 126 56.4 7687 49.4 0.138 1750 48.6 0.463
 Male 199 43.6 9138 50.6 1339 51.4
Race/ethnicity
 Non-Hispanic White 212 67.1 11,220 65.0 0.642 1950 64.4 0.583
 Other 110 32.9 5412 35.0 1092 35.6
Marital status
 Married/Partnered 149 41.7 8024 43.0 0.766 1357 41.6 0.263
 Unmarried 176 58.3 8733 57.0 1724 58.4
Education 4
 ≤High school graduate 119 46.0 5766 42.2 0.675 1139 46.7 <0.001
 Some college/technical 102 31.2 5073 33.4 1080 34.5
 ≥College graduate 104 22.9 5958 24.4 866 18.8
Annual household income (USD)
 Less than $20,000 57 15.6 2472 18.2 0.036 583 22.1 <0.001
 $20,000 to $34,999 66 22.8 2848 20.6 644 25.0
 $35,000 to $49,999 53 23.4 2196 15.1 384 14.2
 $50,000 to $74,999 29 8.5 2337 15.4 397 14.9
 $75,000 or more 75 29.7 4423 30.7 635 23.7
Caregiving intensity
 Managing personal care
  Yes 196 57.8 - - 1689 53.6 0.149
  No 128 42.2 - - 1357 46.4
 Managing household care
  Yes 274 84.5 - - 2495 81.9 0.238
  No 50 15.5 - - 553 18.1
 Hours of care provided per week
  Up to 8 h 188 57.8 - - 1810 60.1 0.782
  9–19 h 49 15.1 - - 417 14.6
  20–39 h 41 10.1 - - 295 10.2
  40 h or more 35 17.0 - - 445 15.1
Caregiving Intensity Composite
 Low 108 40.8 - - 1184 45.8 0.479
 Moderate 83 30.2 - - 681 24.4
 High 86 29.0 - - 772 29.8

1 Weighted for BRFSS sampling. 2 Weighted chi-square test of independence comparing cancer caregivers to non-caregivers, bold indicates significance at p < 0.05. 3 Weighted chi-square test of independence comparing cancer caregivers to other caregivers, bold indicates significance at p < 0.05. 4 Education missing for n = 28 non-caregivers and n = 4 non-cancer caregivers. 5 Weighted proportions represent only those who were unemployed. 6 Totals do not equal column headers because homemakers, students, and/or retirees were excluded from employment analyses (n = 3689).

Cancer caregivers’ employment did not differ significantly from non-caregivers or other caregivers; however, other caregivers were less likely to be employed than non-caregivers (IRR = 0.91, 95% CI = 0.89–0.94, p < 0.001), even after adjusting for age, gender, race/ethnicity, marital status, education, and annual household income (aIRR = 0.94%, CI = 0.91–0.97, p < 0.001, data not shown).

Among cancer caregivers, only income influenced the overall likelihood of employment, with caregivers from all income groups having higher likelihood of employment compared to those earning less than USD 20,000 annually (aIRR ranged: 1.88–2.10, all p ≤ 0.015, Table 2). However, female caregivers aged 25–29 were less likely than those aged 18–24 years to be employed (aIRR: 0.71, 95% CI = 0.51–1.00). Single female cancer caregivers were less likely to be employed than married/partnered female cancer caregivers (aIRR = 0.70, 95% CI = 0.52–0.95), and female cancer caregivers in all but the highest income bracket were more likely to be employed than those earning below USD 20,000 annually (all p ≤ 0.047). Among males, those with the highest educational attainment were significantly less likely to be employed (aIRR: 0.81, 95% CI 0.68–0.98) than the least educated. All models adjusted for age, race/ethnicity, marital status, education, and annual household income, and the overall model was also adjusted for gender.

Table 2.

Factors associated with employment among all young adult cancer caregivers and by gender.

Full Sample 1 Gender-Stratified Models
Female 2 Male 2
aIRR 95% CI p-Value % aIRR 95% CI p-Value % aIRR 95% CI p-Value
Caregiving intensity 1
Low Ref. 37.1 Ref 45.3 Ref
Moderate 0.95 0.86–1.06 0.374 26.5 0.88 0.71–1.08 0.218 34.7 0.98 0.87–1.11 0.796
High 0.84 0.70–1.00 0.056 36.3 0.74 0.55–1.00 0.054 20.1 0.97 0.83–1.14 0.734
Age
18–24 Ref. 26.2 Ref. 39.8 Ref.
25–29 0.89 0.69–1.16 0.408 24.3 0.71 0.51–1.00 0.049 19.3 1.21 0.98–1.50 0.069
30–34 1.12 0.97–1.29 0.107 28.5 1.21 0.92–1.59 0.182 23.5 1.11 0.92–1.35 0.265
35–39 0.99 0.85–1.14 0.854 21.0 1.04 0.77–1.42 0.775 17.4 1.07 0.86–1.34 0.531
Gender
Male Ref.
Female 0.99 0.89–1.11 0.834 - - - - - -
Race
Non-Hispanic white Ref. 67.8 Ref. 68.8 Ref.
Other 1.02 0.89–1.18 0.729 32.2 0.97 0.75–1.24 0.797 31.2 1.12 0.97–1.30 0.112
Marital status
Married/partnered Ref. 49.6 Ref. 35.7 Ref.
Single 0.89 0.78–1.02 0.101 50.4 0.70 0.52–0.95 0.020 64.3 0.97 0.86–1.10 0.681
Education
≤High school Ref. 38.7 Ref. 55.5 Ref.
Some college 0.92 0.78–1.09 0.334 31.5 0.99 0.72–1.37 0.962 30.7 0.92 0.80–1.06 0.235
≥College graduate 1.03 0.86–1.23 0.74 29.8 1.18 0.92–1.53 0.195 13.8 0.81 0.68–0.98 0.028
Annual household income (USD)
Less than $20,000 Ref. 24.0 Ref. 5.3 Ref.
$20,000 to $34,999 1.95 1.20–3.18 0.007 22.0 1.88 1.15–3.06 0.012 24.2 1.88 0.68–5.19 0.222
$35,000 to $49,999 1.88 1.14–3.11 0.014 12.7 1.66 1.01–2.74 0.047 36.3 2.09 0.75–5.81 0.157
$50,000 to $74,999 2.10 1.28–3.47 0.004 9.2 2.01 1.19–3.41 0.009 7.6 1.95 0.68–5.53 0.211
$75,000 or more 1.92 1.13–3.27 0.015 32.1 1.69 0.99–2.88 0.054 26.7 2.16 0.79–5.89 0.133

1 Adjusted for age, gender, race/ethnicity, marital status, education, and annual household income. BRFSS weights applied. Bold indicates significance at p < 0.05. 2 Adjusted for age, race/ethnicity, marital status, education, and household income. BRFSS weights applied. Intensity missing/refused for n = 3.

4. Discussion

In this nationally representative sample, young adult caregivers were less likely to be employed than non-caregivers. Female young adult cancer caregivers who were single, aged 25–29 years, and those in households earning below USD 20,000 had lower likelihood of employment, as did males with the highest educational attainment. Sociocultural expectations for females to become caregivers may, in part, explain these differences. Caregiving that interferes with employment inflicts long-term detriments on caregivers’ careers and emotional wellbeing [4], and these effects may be pronounced for young adults and female cancer caregivers. As young adults increasingly engage in informal caregiving, supporting caregiver employment, a major component of economic stability, is a public health priority [11].

At a young age, women who leave the workforce to provide care may experience difficulty returning to work (e.g., lost or outdated skills, scheduling conflicts, overdue licensure), potentially impacting their financial stability. In our sample, single women, women from low-earning households, and those aged 25–29 were especially likely to be unemployed. Female cancer caregivers earning between USD 20,000 to USD <75,000 were more likely to be employed than the lowest earning caregivers, underscoring the need for flexible employment options that are not tied to educational attainment for these caregivers. Male cancer caregivers with the highest educational attainment were significantly less likely to be employed compared to those with high school education. High caregiving intensity had a significantly negative effect on employment among caregivers, but this was attenuated after adjusting for income (data not shown), potentially suggesting that higher earning caregivers have access to resources that mitigate the influence of high-intensity caregiving on employment that lower earning caregivers do not. Cumulative employment impacts resulting from lack of flexible work schedules, family leave, and paid time off for caregiving may restrict young cancer caregivers’ workforce retainment [12,13].

The BRFSS does not consider preferences for full versus part-time work, the toll of working while caregiving (i.e., presenteeism), nor caregivers’ desires for workforce participation. Hispanic and African American caregivers disproportionately report financial and employment burdens;2 this sample may underrepresent their employment impacts, but this is a critical area for future study.

5. Conclusions

Federal policies and certain state policies provide limited employment accommodations for young caregivers. More robust support is needed to mitigate the negative effect of caregiving on young adults’ employment, especially for single females and those from low-earning households. Policies that support high-quality employer flexibility and educational attainment may protect young adult caregivers from negative employment changes, especially for female young adult cancer caregivers.

Author Contributions

Conceptualization, E.L.W. and A.R.W.; methodology, E.L.W., A.R.W., L.E., A.C.K. and J.G.R.; formal analysis, E.L.W. and A.R.W.; writing—original draft preparation, E.L.W., writing—review and editing, all authors.; visualization, all authors; supervision, A.R.W., L.E. and A.C.K.; project administration, E.L.W.; funding acquisition, E.L.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Cancer Institute of the National Institutes of Health, grant number F31CA221000 and T32CA078447 to E.L.W. and P30CA042014 to M.B. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Dr. Warner was also financially supported during this work on a fellowship from the Jonas Center for Nursing and Veteran’s Healthcare.

Institutional Review Board Statement

Ethical review and approval were not applicable.

Informed Consent Statement

The BRFSS, conducted through the Centers for Disease Control and Prevention obtained informed consent for all subjects involved in the study.

Data Availability Statement

The BRFSS dataset is publicly available at BRFSS Survey Data and Documentation. Available online: https://www.cdc.gov/brfss/annual_data/annual_2015.html (accessed on 7 July 2021).

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The BRFSS dataset is publicly available at BRFSS Survey Data and Documentation. Available online: https://www.cdc.gov/brfss/annual_data/annual_2015.html (accessed on 7 July 2021).


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