Skip to main content

Main menu

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers

User menu

  • My alerts

Search

  • Advanced search
Annals of Family Medicine
  • My alerts
Annals of Family Medicine

Advanced Search

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers
  • Follow annalsfm on Twitter
  • Visit annalsfm on Facebook
Research ArticleOriginal Research

Caregiving in a Pandemic: Health-Related Socioeconomic Vulnerabilities Among Women Caregivers Early in the COVID-19 Pandemic

Kelly Boyd, Victoria Winslow, Soo Borson, Stacy Tessler Lindau and Jennifer A. Makelarski
The Annals of Family Medicine September 2022, 20 (5) 406-413; DOI: https://doi.org/10.1370/afm.2845
Kelly Boyd
1The University of Chicago, Department of Obstetrics and Gynecology, Chicago, Illinois
MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Victoria Winslow
1The University of Chicago, Department of Obstetrics and Gynecology, Chicago, Illinois
MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Soo Borson
2University of Southern California Keck School of Medicine, Department of Family Medicine, Los Angeles, California
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stacy Tessler Lindau
1The University of Chicago, Department of Obstetrics and Gynecology, Chicago, Illinois
3The University of Chicago, Department of Medicine-Geriatrics, Chicago, Illinois
MD, MAPP
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jennifer A. Makelarski
1The University of Chicago, Department of Obstetrics and Gynecology, Chicago, Illinois
4Benedictine University, College of Science and Health, Lisle, Illinois
PhD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: jmakelarski@bsd.uchicago.edu
  • Article
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF
Loading

Abstract

PURPOSE Family and friends who provide regular care for a sick or dependent individual (“caregivers”) are at increased risk of health-related socioeconomic vulnerabilities (HRSVs). This study examined pre-pandemic prevalence of and early pandemic changes in HRSVs among women caregivers compared with non-caregivers.

METHODS A cross-sectional survey was conducted in April 2020 (early pandemic) with 3,200 English-speaking US women aged 18 years or older, 30% of whom identified as caregivers. We modeled adjusted odds of self-reported HRSVs (financial strain, food/housing insecurity, interpersonal violence, transportation/utilities difficulties) before and changes during the early pandemic by caregiving status. Models were adjusted for age, race/ethnicity, marital status, education, income, number of people in household, number of children in household, physical and mental health, and number of comorbidities.

RESULTS Pre-pandemic, 63% of caregivers and 47% of non-caregivers reported 1 or more vulnerability (P <.01); food insecurity was most prevalent (48% of caregivers vs 33% of non-caregivers, P <.01). In the early pandemic, caregivers had higher odds than non-caregivers of financial strain, both incident (adjusted odds ratio [AOR] = 2.1; 95% CI, 1.6-2.7) and worsening (AOR = 2.0; 95% CI, 1.4-2.8); incident interpersonal violence (AOR = 2.0; 95% CI, 1.5-2.7); incident food insecurity (AOR = 1.6; 95% CI, 1.2-2.1); incident transportation difficulties (AOR = 1.9; 95% CI, 1.3-2.6); and incident housing insecurity (AOR = 1.6; 95% CI, 1.1-2.3).

CONCLUSION The coronavirus disease 2019 (COVID-19) pandemic increased risk of incident and worsening HRSVs for caregivers more than for non-caregivers. COVID-19 response and recovery efforts should target caregivers to reduce modifiable HRSVs and promote the health of caregivers and those who depend on them.

Annals Online First article

Key words:
  • caregivers
  • COVID-19 pandemic
  • food insecurity
  • social determinants of health
  • social care

INTRODUCTION

Throughout the coronavirus disease 2019 (COVID-19) pandemic, family and friend caregivers have played an especially critical role in ensuring the health and well-being of a substantial population of chronically ill and vulnerable people.1 In 2020, 21% of US adults were providing unpaid care to at least 1 family member or friend with health conditions or functional limitations—a substantial increase from 18% in 2015.2 Two-thirds of care recipients are aged 65 years or older, 63% have a long-term physical disability, 32% have cognitive difficulties, and most fall into 1 or more categories of high risk2 for COVID-19 infection and associated poor outcomes. To keep care recipients safe in the ever-changing pandemic environment, the work of many caregivers intensified—more than one-half reported an increase in caregiving intensity and burden following the start of the pandemic.3 In a national sample of caregivers, 83% reported increased caregiving-related stress following the start of the pandemic; increased stress was significantly higher among women caregivers (87%) than men (74%).2

Before the COVID-19 pandemic, caregivers had significantly poorer physical and mental health than non-caregivers.4–11 In addition, caregiving has been associated with health-related socioeconomic vulnerabilities (HRSVs)—including financial strain, food insecurity, transportation difficulties, and others—that are modifiable factors compounding the negative effects of caregiving on physical and mental health.2 Pre-pandemic, 1 in 10 caregivers struggled to pay for food and other necessities for themselves and their care recipient, and women (61% of all US caregivers) were at higher risk for HRSVs than men.12–15

The National Women’s COVID-19 Health Study was designed to capture the experiences of US women early in the pandemic.16 A prior analysis found that nearly one-half of all women experienced incident or worsening HRSVs in the early pandemic period and those who did had 2 to 4 times higher odds of depression, anxiety, and traumatic stress symptoms.16 The present analysis examines differences in prevalence of HRSVs before the pandemic and early in the pandemic for caregivers compared with non-caregivers. We hypothesized that caregivers would be significantly more likely to experience pandemic-related incident and worsening HRSVs compared with non-caregivers. Data are needed that describe HRSVs among caregivers, especially pandemic-related incident or worsening HRSVs, to facilitate caregiver policy and intervention development and inform COVID-19 response and recovery efforts.

METHODS

Design

The National Women’s COVID-19 Health Study, conducted April 10-20, 2020, used a cross-sectional survey design that has been described in depth.16 The University of Chicago Institutional Review Board approved the study protocol and all participants provided digital documentation of informed consent.

Setting

The study was conducted in the United States.

Participants

English-speaking women aged 18 or more years were recruited from a research panel created by Opinions 4 Good. This research panel uses a non-probability, convenience sampling strategy to recruit participants online and through partnering organizations. Panelists were recruited to The National Women’s COVID-19 Health Study via e-mail. Each e-mail included a unique, 1-time use survey link. Panelists’ sociodemographic data, maintained by Opinions 4 Good, facilitated targeted recruitment to fulfill a nested quota sample of 3,200 women. The sample quotas matched the distribution of age and education of the 2018 US population of adult women and oversampled East/Southeast Asian women (Chinese, Filipino, Japanese, Korean, and/or Vietnamese) to achieve the goals of the primary study, which included subanalyses among race/ethnic groups, including East/Southeast Asian women.

Measures

Self-administered, web-based surveys captured: (1) sociodemographic and self-rated health characteristics, (2) caregiving status, (3) main health condition of the care recipient, (4) 6 pre-pandemic HRSVs including financial strain, food insecurity, housing insecurity, interpersonal violence, transportation difficulties, and utilities difficulties, and (5) change in each of the 6 HRSVs “since the start of the pandemic.”

Caregiving status was assessed by a yes/no item from the 2018 Behavioral Risk Factor Surveillance Study questionnaire: “During the past 30 days, did you provide regular care or assistance to a friend or family member who has a health problem or disability?” Participants who indicated “Yes,” were asked “What is the main health problem, long-term illness or disability that the person you care for has?” and provided with a list of 14 conditions.

Pre-pandemic HRSVs were assessed using the Centers for Medicare & Medicaid Services Accountable Health Communities (AHC) screening tool17 and categorized as present or absent using the AHC instructions. Changes in HRSVs “since the start of the pandemic” were assessed using an adaptation of the AHC screening tool questions that used a 5-point Likert response scale (Supplemental Table 1). Change in each HRSV was categorized as: secure (absent pre-pandemic and early pandemic), incident (absent pre-pandemic and present early pandemic), persistent or improved (present pre-pandemic and unchanged or improved early pandemic), and worsening (present pre-pandemic and worse early pandemic). An HRSV was considered incident if the HRSV was absent pre-pandemic based on AHC instructions and the participant indicated a negative change in the early pandemic (eg, food secure pre-pandemic and “a lot more worried” about running out of food in the early pandemic; housing secure pre-pandemic and indicating “I have a place to live today, but I am worried about losing it in the future” in the early pandemic).

Statistical Analysis

Of 3,634 eligible persons contacted, 3,200 were surveyed (88% cooperation rate, calculated as the number of participants who completed the survey divided by the number of eligible persons contacted).18 Of 3,200 participants, 3,167 (99%) were eligible for this analysis (complete data for variables needed for weights and caregiving status). Of the 33 excluded, 24 were excluded due to missing income data required for weights and 9 were excluded due to missing caregiver status.

Post-stratification sample weights were generated using the raking-ratio method with marginal distributions matched to 2018 US population estimates. All analyses were weighted. Differences in sociodemographic and health characteristics by caregiving status were examined using χ2 tests. Prevalence of pre-pandemic HRSVs and change in HRSVs were described by caregiving status. Multivariate logistic regression was used to model the odds of (1) each pre-pandemic HRSV, (2) early pandemic incidence of at least 1 HRSV, (3) incidence of each HRSV among those without that HRSV pre-pandemic, and (4) worsening of each HRSV among those with that HRSV pre-pandemic. All models were adjusted for the following baseline covariates: age, race and ethnicity, marital status, education, income, number of people in household, number of children in household, self-reported physical health and mental health, and number of comorbidities. Covariates were selected for inclusion if known to be associated with HRSVs or caregiving status. No model covariate selection procedures were used. Due to small or null sample size, odds of incident utilities difficulties and worsening housing insecurity could not be calculated. All analyses were performed using Stata/SE version 15.1 (StataCorp LLC). Results from unadjusted logistic regression models are reported in Supplemental Table 2 and Supplemental Table 3.

RESULTS

Nearly 1 in 3 US women (30%, n = 950) in this study were caregivers in the early pandemic phase. The most common conditions among recipients were old age/infirmity/frailty (14%), mental illness (11%), heart disease (9%), and diabetes (9%). Of care recipients, 8% had Alzheimer’s disease or a related dementia. Differences in sociodemographic and health characteristics between caregivers and non-caregivers are shown in Table 1.

View this table:
  • View inline
  • View popup
Table 1.

Weighted Baseline Characteristics by Caregiving Status (N = 3,167)

Pre-Pandemic Health-Related Socioeconomic Vulnerabilities

Most caregivers (63%) had 1 or more pre-pandemic HRSVs, but rates were also high among non-caregivers (47%, P <.001). Nearly one-half (42%) of caregivers had 2 or more HRSVs compared with 28% of non-caregivers (P <.01). The most prevalent pre-pandemic HRSVs for caregivers and non-caregivers were food insecurity (48% vs 33%) and financial strain (42% vs 31%) (Figure 1A). When comparing prevalence of HRSVs by main condition of the care recipient, caregivers of people with arthritis/rheumatism had the highest prevalence (87%) of at least 1 pre-pandemic HRSV (66% were food insecure and 63% were experiencing financial strain). Caregivers of people with dementia (47%) and old age/infirmity/frailty (45%) had the lowest prevalence of at least 1 pre-pandemic HRSV (Table 2).

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Weighted prevalence of pre-pandemic socioeconomic vulnerabilities (A) and early pandemic changes in socioeconomic vulnerabilities (B) by caregiving status.

AHC = accountable health communities; HRSV = health-related socioeconomic vulnerabilities; IPV = interpersonal violence.

Note: Calibration weights were utilized and were generated based on the following variables: age group, race, education, income, and region. Change in each HRSV was categorized as: secure (absent pre-pandemic and early pandemic), incident (absent pre-pandemic and present early pandemic), persistent or improved (present pre-pandemic and unchanged or improved early pandemic), and worsening (present pre-pandemic and worse early pandemic).

View this table:
  • View inline
  • View popup
Table 2.

Weighted Pre-Pandemic Prevalence of Caregiver Socioeconomic Vulnerabilities by Condition of Care Recipient

After adjusting for sociodemographic and health characteristics, caregivers had higher adjusted odds of having at least 1 pre-pandemic socioeconomic vulnerability compared with non-caregivers (adjusted odds ratio [AOR] = 1.6; 95% CI, 1.3-2.0) (Figure 2A). Specifically, caregivers had significantly higher adjusted odds of pre-pandemic financial strain (AOR = 1.3; 95% CI, 1.1-1.6), food insecurity (AOR = 1.6; 95% CI, 1.3-2.0), and transportation difficulties (AOR = 1.9; 95% CI, 1.5-2.4) compared with non-caregivers.

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

Adjusted odds of socioeconomic vulnerabilities: pre-pandemic (A), incident (B), and worsening (C) for caregivers compared with non-caregivers (referent group).

HRSV = health-related socioeconomic vulnerabilities.

Notes: Calibration weights were utilized and were generated based on the following variables: age group, race, education, income, and region. Sample sizes for participants with incident utilities (B) and participants with worsening housing (C) were too small to include in the models. Models adjusted for age, race/ethnicity, marital status, education, income, number of people in household, number of children in household, self-reported physical health and mental health, and number of comorbidities. Change in each HRSV was categorized as: secure (absent pre-pandemic and early pandemic), incident (absent pre-pandemic and present early pandemic), persistent or improved (present pre-pandemic and unchanged or improved early pandemic), and worsening (present pre-pandemic and worse early pandemic).

Early Pandemic Changes in Health-Related Socioeconomic Vulnerabilities

In the early pandemic, 54% of caregivers reported at least 1 incident HRSV compared with 38% of non-caregivers; incidence was higher for every HRSV. Due to higher incidence of individual HRSVs, the difference in prevalence of HRSVs between caregivers and non-caregivers widened for all HRSVs (Supplemental Table 4). The most common incident HRSVs for caregivers and non-caregivers were financial strain (31% vs 22%) and food insecurity (17% vs 15%) (Figure 1B). More caregivers also experienced at least 1 worsening HRSV compared with non-caregivers (50% vs 32%). The most common worsening HRSVs for caregivers and non-caregivers were financial strain (34% vs 22%) and food insecurity (34% vs 20%) (Figure 1B).

In the early pandemic, caregivers had higher adjusted odds of experiencing at least 1 incident HRSV (AOR = 1.8; 95% CI, 1.5-2.1) compared with non-caregivers (Figure 2B). Specifically, caregivers had higher odds of incident financial strain (AOR = 2.1; 95% CI, 1.6-2.7), interpersonal violence (AOR = 2.0; 95% CI, 1.5-2.7), food insecurity (AOR = 1.6; 95% CI, 1.2-2.1), housing insecurity (AOR = 1.6; 95% CI, 1.1-2.3), and transportation difficulties (AOR = 1.9; 95% CI, 1.3-2.6).

In the early days of the pandemic, caregivers had higher adjusted odds of experiencing at least 1 worsening HRSV (AOR = 1.8; 95% CI, 1.4-2.3) compared with non-caregivers (see Figure 2C). Specifically, caregivers had higher adjusted odds of worsening financial strain (AOR = 2.0; 95% CI, 1.4-2.8). See Supplemental Appendix.

DISCUSSION

Consistent with prior US population estimates, one-third of women in this national, early COVID-19 pandemic sample identified as a caregiver. Caregiving in the early pandemic was associated with significantly higher odds of incident HRSVs for every type examined (financial strain, food insecurity, housing insecurity, interpersonal violence, and transportation difficulties), and disparities in prevalence between caregivers and non-caregivers widened for each type, increasing by as much as 9 percentage points (financial strain). In prior studies (not specific to caregivers), these socioeconomic disadvantages were associated with poorer physical and mental health19–25 in both pre- and early pandemic16 phases. Widening HRSV disparities could increase these health disparities and negatively affect the health of care recipients.

Our findings, using data from a national, cross-sectional study16 conducted in April 2020, corroborate those of Beach et al,26 both describing increased worry about food and finances since the start of the pandemic among unpaid family and friend caregivers compared with non-caregivers. That study26 did not assess pre-pandemic HRSVs and, therefore, could not differentiate between new and worsening pandemic-related conditions among caregivers. Importantly, we found that caregivers experienced more new-onset and worsening of prevalent HRSVs in the early pandemic than non-caregivers. HRSVs are potentially modifiable through provision of community resources (eg, food pantries for food insecurity), but early in the pandemic, the Centers for Disease Control and Prevention guidelines (ie, social distancing and masks) and state mandates (ie, stay at-home orders and business closures) limited access to these resources. COVID-19 response and recovery efforts should formally recognize and work to remediate the disproportionate impact of the pandemic on HSRVs among caregivers.

The high rates of financial strain among caregivers found in this study are noteworthy: caregivers of loved ones with arthritis, asthma, and diabetes had the highest prevalence of financial strain during the pandemic onset. Though early pandemic employment rates were higher among caregivers than non-caregivers (56% vs 43%), fewer caregivers were in the highest household income bracket (≥$100,000, 25% vs 31%). Caregiver’s household size was larger (59% vs 46% with 3 or more) and included more children (26% vs 20% with 2 or more) who were now at home due to school closures. Though we did not examine changes in employment or income in this study, a 2019 national study of caregivers reported 61% were employed (similar to the 56% in this study), and that 6 in 10 caregivers endorsed caregiving-related negative impacts on their work.27 Such impacts may have been exacerbated during the pandemic due to state-mandated closures of resources relied upon by employed caregivers—adult daycare, home help, and respite centers.28

Historically, friend and family caregivers have been an invisible, mostly unpaid health care workforce whose efforts represent substantial cost savings to the health care system. In 2017 (the latest available data), the services of unpaid caregivers were valued at more than $470 billion dollars—a value that steadily rose from prior years and exceeded the total value of paid long-term care services as well as out-of-pocket health care spending.29 During the pandemic, caregivers’ responsibilities have grown, with increased needs for emotional support, medical support tasks, and assistance with everyday errands and daily food preparation.30 The value of caregivers’ efforts—both in terms of health care cost savings and lives saved—was likely far higher during the pandemic than before. The increased responsibilities and effects could be seen as a socioecological component of burden that is not captured in existing measures and suggest a need to broaden burden assessments to consider how circumstances affecting the general population may have greater impacts on caregivers.

An especially concerning finding of our study is the incidence of interpersonal violence associated with the early pandemic. More than 1 in 4 caregivers reported experiencing interpersonal violence in the early pandemic—and for more than one-half (15% overall), this was new. We found no prior studies examining interpersonal violence or related constructs (ie, domestic violence, intimate partner violence) among caregivers in the early pandemic. However, a rate of 25% is more than 3 times the pre-pandemic rate of interpersonal violence among women (7%) reported in a national, 10 site clinical study using the same measure.31 Additionally, physician and public health scientists have indicated that pandemic-related mandates (ie, stay-at home orders) and other stressors (eg, loss of employment or income) created conditions likely to increase rates of intimate partner violence, especially among women.32–35 These concerns are supported by hyperlocal data from police reports of rising rates of domestic violence calls.31,32 Prior studies of violence by care recipients toward family caregivers highlight the need for clinicians to sensitively address this violence given the unique relationship between the caregiver and care recipient. Clinical guidelines and interventions specific to caregivers who are abused are needed to implement this call-to-action, especially given the pandemic-related increase in interpersonal violence among caregivers.

Limitations

This study should be interpreted in light of several limitations. Participants were enrolled from a non-probability research panel with a very high response rate, which may limit generalizability. Using a previously enrolled research panel, however, allowed rapid enrollment of a large sample to study early pandemic effects. In addition, use of post-stratification sample weights for the variables of age group, race, education, income, and region in all analyses forces the sample to match the marginal distributions of 2018 US population estimates on these factors, increasing likelihood of generalizability. Notably, the proportion of caregivers and the sociodemographic and health characteristics of the study participants were similar to other studies, including a 2020 nationally representative probability sample of caregivers.2,27 For example, the proportion of non-Hispanic White caregivers was 61% in our study and in this national sample.2 Also, caregiving experience differed depending on the care recipients’ condition(s). Though we were able to qualitatively compare rates of HRSVs by care recipient’s main condition, sample size limited these analyses. Lastly, this survey was done at a single time point and some responses, including those assessing pre-pandemic states, may be subject to recall or other bias. This study did not directly assess changes in caregiving demand or habits, including caregiving intensity.

CONCLUSIONS

As of 2020, more than 53 million Americans provided care for a friend or family member—a number projected to grow as the population ages and fertility rates decline. Additionally, people having long-term COVID-19 complications may rely on friend and family caregivers.36–39 Supports for caregivers, including financial support, supportive workplace policies, community-based resources, and other infrastructure that reduces health-related socioeconomic vulnerabilities are essential to ensuring caregivers can continue to provide needed support for a growing population of vulnerable care recipients. COVID-19 response and recovery efforts, including the American Jobs Plan, should emphasize building infrastructure that reduces modifiable HRSVs among caregivers.

Footnotes

  • Conflicts of interest: Lindau is the founder and Chief Innovation Officer of NowPow, LLC, a Unite Us company. She is also founder and President of MAPSCorps, 501c3. Neither the University of Chicago nor University of Chicago Medicine is endorsing or promoting any NowPow/MAPSCorps/Unite Us entity or its business, products, or services. The research described here is conducted under the auspices of a University of Chicago conflict of interest management plan. Lindau holds debt in Glenbervie Health, LLC and health care–related investments managed by third parties. Lindau is a contributor to UpToDate, Inc. All other authors have no conflicts of interest to declare.

  • Read or post commentaries in response to this article.

  • Funding support: Research reported in this publication was supported by 5R01AG064949 (K.B., S.T.L., J.A.M., V.W), 5R01MD012630 (K.B., S.T.L., J.A.M., V.W), R21CA226726 (S.T.L.), and 1R01DK127961 (S.T.L., J.A.M., V.W). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

  • Previous presentation: Portions of the research reported in this publication were presented as a poster at the Interdisciplinary Association of Population Health Sciences; October 18, 2021; Baltimore, Maryland.

  • Supplemental materials

  • Received for publication October 27, 2021.
  • Revision received March 25, 2022.
  • Accepted for publication April 1, 2022.
  • © 2022 Annals of Family Medicine, Inc.

REFERENCES

  1. 1.↵
    1. Phillips D,
    2. Paul G,
    3. Fahy M,
    4. Dowling-Hetherington L,
    5. Kroll T,
    6. Moloney B,
    7. Duffy C,
    8. Fealy G,
    9. Lafferty A.
    The invisible workforce during the COVID-19 pandemic: Family carers at the frontline. HRB Open Res. 2020 May 15; 3(24). doi:10.12688/hrbopenres.13059.1
    OpenUrlCrossRef
  2. 2.↵
    1. AARP and National Alliance for Caregiving
    . Caregiving in the United States 2020. Washington, DC: AARP; 2020 May 14 [cited 2021 May 12]. https://doi.org/10.26419/ppi.00103.001
  3. 3.↵
    1. Cohen SA,
    2. Kunicki ZJ,
    3. Drohan MM,
    4. Greaney ML.
    Exploring Changes in Caregiver Burden and Caregiving Intensity due to COVID-19. Gerontol Geriatr Med. 2021; 7: 2333721421999279. doi:10.1177/2333721421999279
    OpenUrlCrossRef
  4. 4.↵
    1. Schulz R,
    2. Beach SR.
    Caregiving as a risk factor for mortality: the Caregiver Health Effects Study. JAMA. 1999; 282(23): 2215-2219. doi:10.1001/jamaoncol.2015.2378
    OpenUrlCrossRefPubMed
  5. 5.
    1. Dura JR,
    2. Stukenberg KW,
    3. Kiecolt-Glaser JK.
    Anxiety and depressive disorders in adult children caring for demented parents. Psychol Aging. 1991; 6(3): 467-473. doi:10.1037/0882-7974.6.3.467
    OpenUrlCrossRefPubMed
  6. 6.
    1. Fagerström C,
    2. Elmståhl S,
    3. Wranker LS.
    Analyzing the situation of older family caregivers with a focus on health-related quality of life and pain: a cross-sectional cohort study. Health Qual Life Outcomes. 2020; 18(1): 79. doi:10.1186/s12955-020-01321-3
    OpenUrlCrossRef
  7. 7.
    1. Gouin J-P.
    Chronic stress, immune dysregulation, and health. Am J Lifestyle Med. 2011; 5(6): 476-485. https://doi.org/10.1177/1559827610395467
    OpenUrlCrossRef
  8. 8.
    1. Barnhart WR,
    2. Ellsworth DW,
    3. Robinson AC,
    4. Myers JV,
    5. Andridge RR,
    6. Havercamp SM.
    Caregiving in the shadows: national analysis of health outcomes and intensity and duration of care among those who care for people with mental illness and for people with developmental disabilities. Disabil Health J. 2020; 13(1): 100837. doi:10.1016/j.dhjo.2019.100837
    OpenUrlCrossRef
  9. 9.
    1. Madruga M,
    2. Gozalo M,
    3. Prieto J,
    4. Adsuar JC,
    5. Gusi N.
    Psychological symptomatology in informal caregivers of persons with dementia: influences on health-related quality of life. Int J Environ Res Public Health. 2020; 17(3): 1078. doi:10.3390/ijerph17031078
    OpenUrlCrossRef
  10. 10.
    1. Schulz R,
    2. Sherwood PR.
    Physical and mental health effects of family caregiving. Am J Nurs. 2008; 108(9)(Suppl): 23-27, quiz 27. doi:10.1097/01.NAJ.0000336406.45248.4c
    OpenUrlCrossRefPubMed
  11. 11.↵
    1. Chang H-Y,
    2. Chiou C-J,
    3. Chen N-S.
    Impact of mental health and caregiver burden on family caregivers’ physical health. Arch Gerontol Geriatr. 2010; 50(3): 267-271. doi:10.1016/j.archger.2009.04.006
    OpenUrlCrossRefPubMed
  12. 12.↵
    1. Coleman-Jensen A,
    2. Nord M,
    3. Andrews M,
    4. Carlson S.
    Household Food Security in the United States in 2010, ERR-125. United States Department of Agriculture Economic Research Service; 2011 Sep. Report No: 125.
  13. 13.
    1. Centers for Disease Control and Prevention
    . Preventing Intimate Partner Violence [Internet]. CDC; 2020 Oct 9 [cited 2021 May 12. https://www.cdc.gov/violenceprevention/intimatepartnerviolence/fastfact.html
  14. 14.
    1. Hoffman GJ,
    2. Wallace SP.
    The cost of caring: economic vulnerability, serious emotional distress, and poor health behaviors among paid and unpaid family and friend caregivers. Res Aging. 2018; 40(8): 791-809. doi:10.1177/0164027517742430
    OpenUrlCrossRef
  15. 15.↵
    1. OECD
    . The impact of caring on family carers: help wanted? Published 2011. Accessed May 21, 2021. https://www.oecd.org/els/health-systems/47884865.pdf
  16. 16.↵
    1. Lindau ST,
    2. Makelarski JA,
    3. Boyd K, et al.
    Change in health-related socioeconomic risk factors and mental health during the early phase of the COVID-19 pandemic: a national survey of U.S. women. J Womens Health (Larchmt). 2021; 30(4): 502-513. doi:10.1089/jwh.2020.8879
    OpenUrlCrossRef
  17. 17.↵
    The Accountable Health Communities Health-Related Social Needs Screening Tool. Center for Medicare & Medicaid Services. Accessed December 11, 2018. https://innovation.cms.gov/Files/worksheets/ahcm-screeningtool.pdf
  18. 18.↵
    1. The American Association for Public Opinion Research
    . Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys. 9th edition. AAPOR; 2016.
  19. 19.↵
    1. Compton MT,
    2. Shim RS.
    The social determinants of mental health. Focus. 2015; 13(4): 419-425. doi:10.1176/appi.focus.20150017
    OpenUrlCrossRef
  20. 20.
    1. Braveman P,
    2. Gottlieb L.
    The social determinants of health: it’s time to consider the causes of the causes. Public Health Rep. 2014; 129(Suppl 2): 19-31. doi:10.1177/00333549141291S206
    OpenUrlCrossRefPubMed
  21. 21.
    1. Bharmal N,
    2. Derose KP,
    3. Felician M,
    4. Weden MM.
    Understanding the upstream social determinants of health. Rand Health; Published Nov 2015. Accessed May 28, 2021. https://www.rand.org/content/dam/rand/pubs/working_papers/WR1000/WR1096/RAND_WR1096.pdf
  22. 22.
    1. Gundersen C,
    2. Ziliak JP.
    Food insecurity and health outcomes. Health Aff (Millwood). 2015; 34(11): 1830-1839. doi:10.1377/hlthaff.2015.0645
    OpenUrlAbstract/FREE Full Text
  23. 23.
    1. Taylor L.
    Housing and health: an overview of the literature. Health Aff (Millwood); Health Policy Brief. Published Jun 7, 2018. Accessed Sep 8, 2021. doi:10.1377/hpb20180313.396577
    OpenUrlCrossRef
  24. 24.
    1. Bonomi AE,
    2. Anderson ML,
    3. Rivara FP,
    4. Thompson RS.
    Health outcomes in women with physical and sexual intimate partner violence exposure. J Womens Health (Larchmt). 2007; 16(7): 987-997. doi:10.1089/jwh.2006.0239
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Sweet E,
    2. Nandi A,
    3. Adam EK,
    4. McDade TW.
    The high price of debt: household financial debt and its impact on mental and physical health. Soc Sci Med. 2013; 91: 94-100. doi:10.1016/j.socscimed.2013.05.009
    OpenUrlCrossRefPubMed
  26. 26.↵
    1. Beach SR,
    2. Schulz R,
    3. Donovan H,
    4. Rosland A-M.
    Family caregiving during the COVID-19 pandemic. Gerontologist. 2021; 61(5): 650-660. doi:10.1093/geront/gnab049
    OpenUrlCrossRef
  27. 27.↵
    1. Feinberg LF,
    2. Skufca L.
    Managing a paid job and family caregiving is a growing reality. AARP. Published Dec 2020. Accessed May 10, 2021. https://www.aarp.org/content/dam/aarp/ppi/2020/12/managing-a-paid-job-and-family-caregiving.doi.10.26419-2Fppi.00103.024.pdf
  28. 28.↵
    1. Sadarangani T,
    2. Zhong J,
    3. Vora P,
    4. Missaelides L.
    “Advocating Every Single Day” so as not to be forgotten: factors supporting resiliency in adult day service centers amidst COVID-19-related closures. J Gerontol Soc Work. 2021; 64(3): 291-302. doi:10.1080/01634372.2021.1879339
    OpenUrlCrossRef
  29. 29.↵
    1. Reinhard SC,
    2. Feinberg LF,
    3. Houser A,
    4. Choula R,
    5. Evans M.
    Valuing the invaluable 2019 update: charting a path forward. AARP Public Policy Institute. Published Nov 2019. https://www.aarp.org/content/dam/aarp/ppi/2019/11/valuing-the-invaluable-2019-update-charting-a-path-forward.doi.10.26419-2Fppi.00082.001.pdf
  30. 30.↵
    1. Irani E,
    2. Niyomyart A,
    3. Hickman RL Jr..
    Family caregivers’ experiences and changes in caregiving tasks during the COVID-19 pandemic. Clin Nurs Res. 2021; 30(7): 1088-1097. doi:10.1177/10547738211014211
    OpenUrlCrossRef
  31. 31.↵
    1. De Marchis EH,
    2. Hessler D,
    3. Fichtenberg C, et al.
    Part I: A quantitative study of social risk screening acceptability in patients and caregivers. Am J Prev Med. 2019; 57(6)(Suppl 1): S25-S37. doi:10.1016/j.amepre.2019.07.010
    OpenUrlCrossRefPubMed
  32. 32.↵
    1. Boserup B,
    2. McKenney M,
    3. Elkbuli A.
    Alarming trends in US domestic violence during the COVID-19 pandemic. Am J Emerg Med. 2020; 38(12): 2753-2755. doi:10.1016/j.ajem.2020.04.077
    OpenUrlCrossRefPubMed
  33. 33.
    1. Kofman YB,
    2. Garfin DR.
    Home is not always a haven: The domestic violence crisis amid the COVID-19 pandemic. Psychol Trauma. 2020; 12(S1): S199-S201. doi:10.1037/tra0000866
    OpenUrlCrossRefPubMed
  34. 34.
    1. Viveiros N,
    2. Bonomi AE.
    Novel coronavirus (COVID-19): violence, reproductive rights and related health risks for women, opportunities for practice innovation. J Fam Viol. 2020;37(5):753-757. doi:10.1007/s10896-020-00169-x
    OpenUrlCrossRef
  35. 35.↵
    1. Gausman J,
    2. Langer A.
    Sex and gender disparities in the COVID-19 pandemic. J Womens Health (Larchmt). 2020; 29(4): 465-466. doi:10.1089/jwh.2020.8472
    OpenUrlCrossRef
  36. 36.↵
    1. Mendelson M,
    2. Nel J,
    3. Blumberg L, et al.
    Long-COVID: An evolving problem with an extensive impact. S Afr Med J. 2020; 111(1): 10-12. doi:10.7196/SAMJ.2020.v111i11.15433
    OpenUrlCrossRef
  37. 37.
    1. Lerner AM,
    2. Robinson DA,
    3. Yang L, et al.
    Toward understanding COVID-19 recovery: National Institutes of Health Workshop on Postacute COVID-19. Ann Intern Med. 2021; 174(7): 999-1003. doi:10.7326/M21-1043
    OpenUrlCrossRef
  38. 38.
    1. Davis HE,
    2. Assaf GS,
    3. McCorkell L, et al.
    Characterizing long COVID in an international cohort: 7 months of symptoms and their impact. EClinicalMedicine. 2021;38:101019. https://www.thelancet.com/action/showPdf?pii=S2589-5370%2821%2900299-6
    OpenUrl
  39. 39.↵
    1. Jiang DH,
    2. McCoy RG.
    Planning for the Post-COVID syndrome: how payers can mitigate long-term complications of the pandemic. J Gen Intern Med. 2020; 35(10): 3036-3039. doi:10.1007/s11606-020-06042-3
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In this issue

The Annals of Family Medicine: 20 (5)
The Annals of Family Medicine: 20 (5)
Vol. 20, Issue 5
September/October 2022
  • Table of Contents
  • Index by author
  • Plain Language Article Summaries
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Annals of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Caregiving in a Pandemic: Health-Related Socioeconomic Vulnerabilities Among Women Caregivers Early in the COVID-19 Pandemic
(Your Name) has sent you a message from Annals of Family Medicine
(Your Name) thought you would like to see the Annals of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
2 + 4 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Caregiving in a Pandemic: Health-Related Socioeconomic Vulnerabilities Among Women Caregivers Early in the COVID-19 Pandemic
Kelly Boyd, Victoria Winslow, Soo Borson, Stacy Tessler Lindau, Jennifer A. Makelarski
The Annals of Family Medicine Sep 2022, 20 (5) 406-413; DOI: 10.1370/afm.2845

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Get Permissions
Share
Caregiving in a Pandemic: Health-Related Socioeconomic Vulnerabilities Among Women Caregivers Early in the COVID-19 Pandemic
Kelly Boyd, Victoria Winslow, Soo Borson, Stacy Tessler Lindau, Jennifer A. Makelarski
The Annals of Family Medicine Sep 2022, 20 (5) 406-413; DOI: 10.1370/afm.2845
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • INTRODUCTION
    • METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSIONS
    • Footnotes
    • REFERENCES
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Shared Decision Making Among Racially and/or Ethnically Diverse Populations in Primary Care: A Scoping Review of Barriers and Facilitators
  • Convenience or Continuity: When Are Patients Willing to Wait to See Their Own Doctor?
  • Feasibility and Acceptability of the “About Me” Care Card as a Tool for Engaging Older Adults in Conversations About Cognitive Impairment
Show more Original Research

Similar Articles

Keywords

  • caregivers
  • COVID-19 pandemic
  • food insecurity
  • social determinants of health
  • social care

Content

  • Current Issue
  • Past Issues
  • Early Access
  • Plain-Language Summaries
  • Multimedia
  • Podcast
  • Articles by Type
  • Articles by Subject
  • Supplements
  • Calls for Papers

Info for

  • Authors
  • Reviewers
  • Job Seekers
  • Media

Engage

  • E-mail Alerts
  • e-Letters (Comments)
  • RSS
  • Journal Club
  • Submit a Manuscript
  • Subscribe
  • Family Medicine Careers

About

  • About Us
  • Editorial Board & Staff
  • Sponsoring Organizations
  • Copyrights & Permissions
  • Contact Us
  • eLetter/Comments Policy

© 2025 Annals of Family Medicine