Impact of the 2020 pandemic of COVID-19 on Families with School-aged Children in the United States: Roles of Income Level and Race (2024)

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Impact of the 2020 pandemic of COVID-19 on Families with School-agedChildren in the United States: Roles of Income Level and Race (1)

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J Fam Issues. 2022 Mar; 43(3): 719–740.

PMCID: PMC7957335

PMID: 38603084

Cliff Yung-Chi Chen,Impact of the 2020 pandemic of COVID-19 on Families with School-agedChildren in the United States: Roles of Income Level and Race (2)1 Elena Byrne,1 and Tanya Vélez1

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Abstract

This study examined the experiences of families with school-aged children duringthe first three months of the 2020 pandemic of COVID-19 in the United States,while focusing on the roles of income level and race/ethnicity in theirexperiences. Two hundred and twenty-three parents of school-aged childrenparticipated in this study by completing an online survey. The results revealedthat low-income and lower-middle class parents, as well as parents of color,experienced more instrumental and financial hardships due to the pandemic, whencompared to their higher income, White counterparts. In contrast, parents withhigher income and White parents were more likely to feel stressed overstructuring home learning environments and planning educational and physicalactivities at home for their children. The overall findings suggest that familyincome level and race/ethnicity play a significant role in the lives of familiescoping with a variety of challenges due to the pandemic.

Keywords: COVID-19, pandemic, school closure, work & family, parenting

On March 13, 2020, the United States declared a national emergency over the outbreak ofCoronavirus Disease (COVID-19) as the novel, highly transmissible Coronavirus(SARS-CoV-2) started rapidly spreading across the country. Due to the nature of thevirus, by the end of March 2020, more than half of the U.S. population was ordered tostay home under shelter-in-place orders issued by many states and cities across thecounty in an attempt to minimize close contact between people in order to reduce thespread of the virus. As a result, more than 124,000 schools in the United States wereclosed, affecting at least 55 million students (Education Week, 2020). Although somecities/states gradually lifted their shelter-in-place orders and prepared for reopeningin phases in late May or early June of 2020, the majority of schools remained closed forthe rest of the 2019–2020 school year.

A pandemic outbreak can have a pervasive impact on social order and the economy (Qui et al., 2016–2017). Forinstance, schooling and the economy were significantly disrupted during the Ebolapandemic in 2013 and 2015 in West Africa in order to contain the virus ().During the H1N1 outbreak in 2009, large scale school dismissals/closures were found tolead to a greater reduction rate of infected cases (German et al., 2019). Araz et al. (2013) found thatpreventive closing was best to decrease unnecessary infection; however, it is importantto consider issues of distance learning, school meals, and dealing with pandemic waves.With the United States being the hardest-hit country by the COVID-19 pandemic in termsof numbers of COVID-19 infected cases and deaths (Johns Hopkins University and Medicine, 2020),many families with school-aged children experience various challenges due to theoutbreak and subsequent lockdowns and life disruptions.

In addition to worries and anxieties related to the COVID-19 outbreak, the economicsituation has suddenly worsened with unprecedented rising levels of unemployment in thefirst three months of COVID-19 in the U.S. (Kochhar, 2018), resulting in financial hardshipfor many families. Moreover, external support by other family members may be disruptedand social support systems may fade away due to social distancing measures. Manyparents, while working from home, have to take care of their children with restrictedcaregiver resources (e.g., grandparents, daycare settings), as well as support theirchildren’s education through home schooling or remote learning provided by their schools(Fegert et al., 2020).This has suddenly created a lot of challenges and put a lot of pressure on parents ofschooling children. This study explored the consequences and problems associated withthe COVID-19 outbreak as experienced by families with school-aged children during theacute phase of COVID-19 in the U.S.

Past research has suggested that a pandemic may affect different demographicsdifferently, leading to social, economic, and health disparities (Kumar et al., 2012). As times of crisis oftenreinforce and exacerbate these disparities because resources are limited and people arefearful, traditionally minoritized and marginalized populations (e.g., racial/ethnicminorities, low-income families, women) may encounter more challenges (Kantamneni, 2020). As part ofthe long history of racial bias and discrimination in the U.S., national disasters andcrises have often become racialized and scapegoated minority groups are targeted andblamed (Chen et al., 2020).Evidently, racial discrimination against Asians and Asian Americans has increasedsignificantly since the outbreak of the COVID-19 in the U.S. (e.g., Chen et al., 2020; ).According to a Pew Research Center survey, Black and Asian Americans have shared theexperiences of racial discrimination amid the COVID-19 pandemic. Approximately 40% ofBlack and Asian Americans reported that since the COVID-19 outbreak people have acted asif they were uncomfortable around them due to their race or ethnicity (Ruiz et al., 2020).

Recent data from Centers for Disease Control and Prevention (CDC, 2020a) indicated that COVID-19 diseaseburden, including acquisition of illness, hospitalization, and mortality, isdisproportionately higher among racial and ethnic groups (e.g., Black/African American,Latinx, American Indian or Alaska Native, and Asian American). Persistent systemicinequities, such as structural racism and discrimination, overcrowded housing,occupational segregation, and inadequate health access and utilization, play a largerole in contributing to disparities in health outcomes among minoritized populations(cited in Brown et al., 2020;CDC, 2020b). Evidence hassuggested that Black and Hispanic workers face much more economic and health insecurityas a result of the COVID-19 outbreak than White workers (). Being that racialand ethnic minority groups (e.g., Black and Latino people) are overrepresented inlow-wage jobs and in jobs that cannot transition to remote work, they have been hit thehardest by stay-at home and other public health measures that put in place to controlthe spread of the virus. Recent data suggest that people of color and low-incomefamilies, when compared to their White and higher-income counterparts, have beenaffected much more by spiking unemployment and job insecurity (), as well as increasedhousing instability (Greens & McCargo, 2020), since the COVID-19 outbreak. Theseeconomic and social inequities may in turn place minoritized families at greater riskfor increased stress and disparate outcomes during the COVID-19 pandemic.

School closures due to the COVID-19 outbreak have added extra challenges for parents ofschooling children. Moreover, prolonged school closures can further exacerbatepreexisting educational disparities. Reports have shown that lower-income parents aremore concerned about their children potentially falling behind amid COVID-19 schoolclosures than higher-income parents (Horowitz, 2020). While many schools have abruptly adopted remote learning tocontinue students’ schooling in response to the outbreak, students from lower-incomehouseholds experience a “digital gap” due to the lack of reliable access to the Internetand other digital resources (e.g., computers) at home, potentially affecting theirlearning. Data reported by Pew Research Center further suggest that the digital gaps areparticularly notable in Black and Hispanic households of low incomes (),suggesting race and family income contribute to the complexity of widening educationalinequities as a result of the COVID-19 outbreak.

According to Prime et al.’s(2020) conceptual framework, the impact of social disruption due to COVID-19(e.g., job loss, financial hardship, social distancing, confinement) needs to beconsidered in the context of preexisting vulnerabilities in families (e.g., racism andmarginalization, economic hardship, history of adversity). Although the current strainof the COVID-19 outbreak is unprecedented and affects all people globally, the impact ofthe virus can be rooted in historic and persistent social, economic, and educationaldisparities, resulting in greater vulnerabilities and difficulties in people of colorand low-income families. This study further examined the roles of income level andrace/ethnicity in families’ experiences coping with the COVID-19 pandemic, focusing onthose with school-aged children. We expected to observe greater social, economic, andeducational challenges and problems experienced by families of color and low-incomehouseholds.

Method

Procedure

After obtaining permission from the university institutional review board inearly April of 2020, we used a variety of online recruitment methods, includingonline postings on social media (e.g., Facebook and Twitter), discussion forums(e.g., Reddit), websites (e.g., Psychological Research on the Net), and emails,to recruit parents of school-aged children (PreK–12th grade) in the UnitedStates as our research participants. Parents completed an online survey via theSurveyMonkey platform. Participants were given an opportunity to enter a drawingfor one of ten $15 gift cards. Data were collected during a period of 2.5 monthsbetween April 8, 2020, and June 15, 2020.

Participants

The sample included 223 parents of school-aged children, with a mean age of 41.31years (SD = 8.54). The vast majority (n = 202,91%) of our participants were female, and nearly two-thirds were White/Caucasian(n =145, 65%). More than half of the participants residedin New York State (n = 127, 57%), with 25 other states(ns = 1-14) representing the rest of the sample. Half(n = 112, 50%) of the participants had two or more(M = 1.74, SD = 0.97) school-aged children across PreK-12grade levels in their household. Eighteen percent of the participants had atleast one child in preschool, 8% had at least one child in kindergarten, 43% hadat least one child in elementary school, 26% had at least one child in middleschool, and 29% had at least one child in high school. See Table 1 for thedemographic information of our participants.

Table 1.

Demographic Data of Sample.

n (%)
Gender
 Female202 (90.6)
 Male21 (9.4)
Race/Ethnicity
 Asian and Pacific Islander16 (7.2)
 American Indian and Alaska Native3 (1.3)
 Black/African American16 (7.2)
 Latin/Hispanic33 (14.8)
 White/Caucasian145 (65.0)
 Mixed/Biracial/Multicultural7 (3.1)
 Other3 (1.3)
Family Structure
 Single-father household3 (1.3)
 Single-mother household33 (14.8)
 Two-parent home181 (81.2)
 Other5 (2.2)
 No response1 (0.4)
Household Income (US Dollar)
 $25,000 or under15 (6.7)
 $25,001–$50,00026 (11.7)
 $50,001–$75,00021 (9.4)
 $75,001–$100,00031 (13.9)
 $100,001–$200,00074 (33.2)
 More than $200,00046 (20.6)
 Other3 (1.3)
 No response7 (3.1)
Employment Status
 Full-time employed130 (58.3)
 Part-time employed23 (10.3)
 Self-employed20 (9.0)
 Homemaker18 (8.1)
 Out of work at the moment23 (10.3)
 Other6 (2.7)
 No response1 (0.4)

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Measures

Demographic information (e.g., age, gender, race/ethnicity, household income,family structure, etc.) was collected.

Employment and job status

Two items were developed for this study to assess whether participants’employment status had changed since the outbreak of the COVID-19 pandemic,as well as their spouse’s/partner’s status if applicable. In addition,participants were also asked to report the degree to which they and theirspouse/partner had worked remotely due to the pandemic on a six-point scale,ranging from 1 (0% of the time) to 6 (100% of thetime).

Learning at home

We developed an item for this study to assess whether parents had clearstructure and routines for their children at home to guide their learning ona five-point scale, ranging from strongly disagree tostrongly agree. An additional item was developed toassess the methods (e.g., distance learning through school, homeschooling,self-directed learning, etc.) that children used to continue their educationat home if their schools had been closed due to the COVID-19 pandemic.

Consequences of school closure associated with the COVID-19outbreak

We adapted the items used in a 2009 influenza A (H1N1) study conducted by theCenters for Disease Control and Prevention (CDC, 2010) to measure theconsequences of school closure associated with the outbreak of COVID-19 inthe United States. Sample consequences/problems included “missed work,”“child missed free or reduced-cost school meals,” and “lost pay or income.”We added four new items to the list (e.g., “arranged childcare,” “feltstressed over planning educational activities for your child,” etc.).Participants were allowed to check off all items that applied to them.

Statistical Analysis

For the purpose of this study, we categorized participants into three incomeclasses based on their reported annual household incomes (US Dollar): (a)low-income and lower-middle class (≤ $50,000), (b) middle class($50,001–$100,000), and (c) upper-middle and high-income (>$100,000; Kochhar,2018). Fifty-four percent of our participants were from upper-middleclass or high-income households, 23% from middle-class households, and 18%lower-middle or low-income households.

Due to a small number of participants representing each of the racial/ethnicminority groups in our sample, we dummy coded race/ethnicity into 0 (White) and1 (people of color; POC), with POC representing those who identified asAsian/Pacific Islander, American Indian/Alaska Native, Black/Africian American,Latinx/Hispanic, or mixed/biricial/multiracial.

Chi-square tests were conducted to compare group differences in measures ofconsequences/problems associated with the COVID-19 pandemic by income class andrace/ethnicity. We performed all statistical analysis using IBM SPSS version 26.Cramer’s V (φc) values werecalculated to determine the effect sizes of chi-squared tests, taking the degreeof freedom into consideration (Cohen, 1988).

Results

Preliminary Data Analysis

Income class was associated with family structure, χ2(6,N=212) = 61.56, p<.001,φc=.38 (large effect size). There was ahigher rate of single-parent households within the low-income and lower-middleclass (62.5%) than those in the middle class (19.2%), as well as theupper-middle and high-income class (3.3%). There was a moderate relationshipbetween income class and race/ethnicity, χ2(2,N=213) = 14.47, p=.001,φc=.26 (median effect size); White familieswere more likely to be in the higher income class than their POC counterparts.Families of color represented 56% of the low-income and lower-middle class, 42%of the middle class, and 25% of the upper-middle and high-income class in thissample.

Impact of the COVID-19 Pandemic

Employment status change

More than a quarter (n = 63, 28.3%) of the participantsreported that their employment status had changed since the outbreak of theCOVID-19. These changes primarily included reduced work hours and reducedpay, furlough, and loss of employment, which tended to have adversefinancial effects. Household income level was associated with employmentstatus change, χ2(2, N=213) = 10.99,p=.004, φc=.23 (mediumeffect size). Individuals from low-income and lower-middle class householdsreported the highest rate of employment status change (48.8%), followed bythe middle class (28.8%), and the upper-middle class and high-incomehouseholds (21.7%). Similarly, the spouses/partners of individuals fromlow-income and lower-middle class households also had the highest rate ofemployment status change (50%; see Figure 1). White families andfamilies of color reported similar rates of employment status change (seeFigure 2).Although the spouses/partners of parents of color appeared to have a higherrate of employment status change (36.7%) than their White counterparts(27.7%), the difference was not statistically significant.

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Figure 1.

Employment status had changed by income level.

Note. Low = low-income and lower-middle class (≤$50,000); Middle = middle class ($50,001–$100,000); High =upper-middle and high-income class (>$100,000).

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Figure 2.

Employment status had changed by race/ethnicity.

Note. POC = people of color.

Worked remotely

Table 2 presentsthe distribution of participants and their spouses/partners, whenapplicable, working remotely.

Table 2.

Worked Remotely by Income and Race/Ethnicity.

Self
Income LevelRace/Ethnicity
Overall (222)Low (41)Middle (52)High (119)White (144)POC (78)
0% of the time52 (23.4%)19 (46.3%)21 (40.4%)9 (7.6%)31 (21.5%)21 (26.9%)
1%–24% of the time15 (6.8%)5 (12.2%)3 (5.8%)7 (5.9%)10 (6.9%)5 (6.4%)
25%–49% of the time6 (2.7%)2 (4.9%)0 (0%)3 (2.5%)3 (2.1%)3 (3.8%)
50%–74% of the time17 (7.7%)6 (14.6%)3 (5.8%)8 (6.7%)7 (4.9%)10 (12.8%)
75%–99% of the time14 (6.3%)1 (2.4%)4 (7.7%)8 (6.7%)7 (4.9%)7 (9%)
100% of the time111 (50%)7 (17.1%)19 (36.5%)80 (67.2%)80 (55.6%)31 (39.7%)
Other7 (3.2%)1 (2.4%)2 (3.8%)4 (3.4%)6 (4.2%)1 (1.3%)
Spouse/Partner
Overall (188)Low (20)Middle (44)High (116)White (128)POC (60)
0% of the time57 (30.3%)15 (75%)20 (45.5%)20 (17.2%)33 (25.8%)24 (40%)
1%–24% of the time10 (5.3%)1 (5%)4 (9.1%)4 (3.4%)6 (4.7%)4 (6.7%)
25%–49% of the time9 (4.8%)2 (10%)3 (6.8%)4 (3.4%)7 (5.5%)2 (3.3%)
50%–74% of the time12 (6.4%)1 (5%)3 (6.8%)8 (6.9%)6 (4.7%)6 (10%)
75%–99% of the time11 (5.9%)0 (0%)3 (6.8%)7 (6%)8 (6.2%)3 (5%)
100% of the time82 (43.6%)1 (5%)9 (20.5%)68 (58.6%)61 (47.7%)21 (35%)
Other7 (3.7%)0 (0%)2 (4.5%)5 (4.3%)7 (5.5%)0 (0%)

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Note. Low = low-income and lower-middle class (≤$50,000); Middle = middle class ($50,001–$100,000); High =upper-middle and high-income class (>$100,000); POC = peopleof color.

About half of the parents (self: 50%; spouse/partner: 43.6%) had switched towork remotely 100% of time since the outbreak of the COVID-19, but nearly 1out 4 (self: 23.4%; spouse/partner: 30.3%) was unable to work remotely atall. Low-income and lower-middle class parents were significantly lesslikely to be able to work remotely than their middle-class, upper-middle,and high-income counterparts (self: χ2(12,N=212) = 54.94, p<.001,φc=.36, large effect size;spouse/partner: χ2(12, N=180) = 47.35,p<.001, φc=.36, largeeffect size). About half to three quarters (self: 46.3%; spouse/partner:75%) of low-income and lower-middle class parents were unable to workremotely at all (0% of the time). In contrast, less than 18% of parents fromhigh-income and upper-middle class were unable to switch to virtual work(self: 7.6%; spouse/partner: 17.2%).

POC parents (self: 39.7%; spouse: 35%), when compared to their Whitecounterparts (self: 55.6%; spouse: 47.7%), were less likely to be able toswitch to virtual work entirely (100% of the time). POC parents (self:26.9%; spouse: 40%) also had a higher rate of not being able to workremotely at all (0% of the time) than that of White parents (self: 21.5%;spouse: 25.8%).

Clear structure and schedule at home to guide child’s learning

About half of the participants (49.5%) either agreed or strongly agreed thatthey had a clear structure and schedule at home to guide their children’slearning, while one-third of parents indicated that they did not have aclear structure and routines at home for their children (see Table 3). Familiesfrom different income levels appeared to perceive the level of structure androutines at home differently, χ2(8, N=186) =18.21, p=.020, φc=.22 (largeeffect size). Middle-class parents appeared to be less likely to feel therewere clear structure and routines at home to guide their children’s learning(43.5%), when compared to parents of low-income and lower-middle class(49.5%) and those of upper-middle and high-income class (51.4%). Inaddition, more families of color either strongly agreed or agreed that theyhad clear structure and routines for their children at home (65.2%) thantheir White counterparts (41.9%),χ2(4, N=195) =12.65, p=.012, φc=.26 (largeeffect size).

Table 3.

Clear Structure and Schedule at Home by Income andRace/Ethnicity.

Income LevelRace/Ethnicity
Overall (186)Low (33)Middle (46)High (107)White (129)POC (66)
Strongly disagree14 (7.5%)5 (15.2%)1 (2.2%)8 (7.5%)9 (7%)5 (7.6%)
Disagree48 (25.8%)5 (15.2%)13 (28.3%)30 (28%)38 (29.5%)11 (16.7%)
Neither agree or disagree32 (17.2%)6 (18.2%)12 (26.1%)14 (13.1%)28 (21.7%)7 (10.6%)
Agree54 (29%)10 (30.3%)6 (13%)38 (35.5%)35 (27.1%)22 (33.3%)
Strongly agree38 (20.4%)7 (21.2%)14 (30.4%)17 (15.9%)19 (14.7%)21 (31.8%)

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Note. Low = low-income and lower-middle class (≤$50,000); Middle = middle class ($50,001–$100,000); High =upper-middle and high-income class (>$100,000); POC = peopleof color.

Learning methods during school closure

Table 4 presentsthe data regarding learning methods that had been adopted by families sincethe outbreak of the COVID-19. The majority of families (83.2%) reported thattheir children continued their education via distance learning through theirschools (e.g., web-based instructional methods, video conferencing, etc.).Distance learning through school was the primary and dominant learningmethod across income levels, and across racial/ethnic groups. However,children of upper-middle and high-income class were more likely to engage indistance learning through their schools than students of middle class andlow-income and lower-middle class, χ2(6, N=187)= 12.79, p=.047, φc=.19 (mediumeffect size).

Table 4.

Learning Methods.

Income LevelRace/Ethnicity
Overall (196)Low (34)Middle (46)High (107)White (130)POC (66)
Distance learning (e.g., web-based instructionalmethods, video conferencing, etc.) through school163 (83.2%)24 (70.6%)35 (76.1%)96 (89.7%)108 (83.1%)55 (83.3%)
Homeschooling10 (5.1%)4 (11.8%)5 (10.9%)1 (0.9%)2 (1.5%)8 (12.1%)
Self-learning (e.g., children direct their ownstudy)6 (3.1%)2 (5.9%)1 (2.2%)3 (2.8%)5 (3.8%)1 (1.5%)
Other17 (8.7%)4 (11.8%)5 (10.9%)7 (6.5%)15 (11.5%)2 (3%)

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Note. Low = low-income and lower-middle class (≤$50,000); Middle = middle class ($50,001–$100,000); High =upper-middle and high-income class (>$100,000); POC = peopleof color.

Consequences/problems associated with school closure as a result of theCOVID-19 pandemic

The majority of parents reported that school closures had been a majorproblem (31.6%), or a minor problem (43.9%) for their families, compared tothose who said it was not a problem at all (17.9%). Upper-middle class andhigh-income families were more likely to report that school closure had beena major problem for them (36.4%) than middle-class families (28.3%) andfamilies of low-income and lower-middle class (23.5%; see Figure 3). Moreover, arelatively higher percentage of low-income and lower-middle class familiesreported that school closure had not been a problem for them at all (32.4%)when compared to middle-class families (10.9%) and upper-middle andhigh-income families (15.9%). In addition, White families were more likelyto report that school closures had been a major problem for them (36.2%)than families of color (22.7%; see Figure 4).

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Figure 3.

Extent to which child’s school closure had been a problem for familyby income level.

Note. Low = low-income and lower-middle class (≤$50,000); Middle = middle class ($50,001–$100,000); High =upper-middle and high-income class (>$100,000).

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Figure 4.

Extent to which child’s school closure had been a problem for familyby race/ethnicity.

Note. POC = people of color.

Table 5 presentsthe results regarding the specific consequences/problems associated withschool closure as a result of the COVID-19 pandemic. Overall, more than halfof the participants reported difficulty and stress over maintaining orcreating structure and routines (70.1%), planning educational activities(61.9%), and planning physical activities (60.3%) for their children athome. Nearly one out of four parents reported that they had missed work(23.2%), and that they felt at risk of losing their job (20.1%). More than10% of the participants had missed important appointments/events (18%), hadlost pay or income (17.5%), and had incurred financial cost in excess oftypical days (14.4%) and difficulty with arranging childcare (14.9%).

Table 5.

Consequences/Problems as a Result of the COVID-19 Pandemic and SchoolClosure.

Income LevelRace/Ethnicity
Overall (194)Low (33)Middle (45)High (107)p valueWhite (129)POC (65)p value
Arranged childcare29 (14.9%)7 (21.2%)7 (15.6%)15 (14%)a.610
b.520
c.321
d.806
19 (14.7%)10 (15.4%).904
Missed work45 (23.2%)10 (30.3%)9 (20%)26 (24.3%)a.578b.295
c.490
d.565
26 (20.2%)19 (29.2%).157
Child missed free or reduced-cost school meals15 (7.7%)7 (21.2%)4 (8.9%)4 (3.7%)a.006**b.122c.001**
d.194
7 (5.4%)8 (12.3%).090
Incurred financial cost in excess of typical days28 (14.4%)10 (30.3%)9 (20%)9 (8.4%)a.005**b.295c.001**
d.044*
17 (13.2%)11 (16.9%).484
Lost pay or income34 (17.5%)14 (42.4%)6 (13.3%)13 (12.1%)a<.001***
b.004**
c<.001***
d.840
22 (17.1%)12 (18.5%).808
Missed appointment with potential financial impact13 (6.7%)5 (15.2%)4 (8.9%)4 (3.7%)a.069
b.392c.019*
d.194
5 (3.9%)8 (12.3%).027*
Missed another kind of important appointment orevent35 (18%)7 (21.2%)11 (24.4%)15 (14%)a.264
b.738
c.321
d.119
24 (18.6%)11 (16.9%).774
Felt at risk of losing job39 (20.1%)13 (39.4%)9 (20%)16 (15%)a.010*
b.060
c.002**
d.444
27 (20.9%)12 (18.5%).686
Child missed health services usually provided byschool17 (8.8%)2 (6.1%)8 (17.8%)6 (5.6%)a.043*
b.126
c.922
d.018*
11 (8.5%)6 (9.2%).870
Felt stressed over planning educational activities foryour child at home120 (61.9%)15 (45.5%)27 (60%)72 (67.3%)a.076
b.203
c.024*
d.389
82 (63.6%)38 (58.5%).490
Felt stressed over planning physical activities for yourchild at home117 (60.3%)15 (45.5%)28 (62.2%)69 (64.5%)a.143
b.141
c.051
d.791
82 (63.6%)35 (53.8%).192
Felt stressed over maintaining or creating structure androutines for your child at home136 (70.1%)16 (48.5%)33 (73.3%)81 (75.7%)a.010*
b.025*
c.003**
d.758
96 (74.4%)40 (61.5%).064
Other40 (20.6%)6 (18.2%)10 (22.2%)23 (21.5%)a.884
b.627
c.681
d.868
29 (22.5%)11 (16.9%).393

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Note. Low (L) = low-income and lower-middleclass (≤ $50,000); Middle (M) = middle class ($50,001–$100,000);High (H) = upper-middle and high-income class (>$100,000);POC = people of color.

aSignificance level using chi-square test comparing L, M, and Hclasses.

bSignificance level using chi-square test between L and M.

cSignificance level using chi-square test between L and H.

dSignificance level using chi-square test between M and H.

p < .10. *p < .05.**p < .01. ***p <.001.

More than 40% of families from low-income and lower-middle class householdshad lost pay or income, which was significantly higher than those frommiddle class (13.3%), and upper-middle class and high-income households(12.1%), χ2(2, N=185) = 16.60,p<.001, φc=.30 (mediumeffect size). Parents of low-income and lower-middle class were more likelyto feel at risk of losing their job (39.4%) than their counterparts withhigher household incomes, χ2(2, N=185) = 9.24,p=.010, φc=.21 (mediumeffect size). More families of low-income and lower-middle class alsoexperienced problems with incurred financial cost and children missing freeor reduced-cost school meals, χ2(2, N=185) =10.51, p=.005, φc=.24 (mediumeffect size); and χ2(2, N=185) = 10.39,p=.006, φc=.24 (mediumeffect size), respectively. Parents of low-income and lower-middle classwere significantly more likely to miss such financially costing appointmentsthan parents of upper-middle and high-income clas, χ2(1,N=140) = 5.46, p=.019,φc=.20 (small effect size). Middle-classfamilies were more likely to report that their children had missed healthservices usually provided by school, when compared to upper-middle andhigh-income families, χ2(1, N=152) = 5.61,p=.018, φc=.19 (smalleffect size).

In contrast, a higher rate of upper-middle class and high-income familiesreported stress over maintaining or creating structure and routines fortheir children than that of low-income and lower-middle class families,χ2(1, N=140) = 5.11,p=.024, φc=.19, (medium effectsize). Middle class and higher income families were more likely to reportstress over planning educational activities for their children at home(χ2(2, N=185) = 5.15,p=.076, φc=.17, small effectsize), than their low-income and lower-middle class counterparts,χ2(2, N=185) = 5.15,p=.076, φc=.17, (small effectsize).

Families of color, compared to their White counterparts, reported moreproblems with missing important appointments/events that had potentialfinancial impact, χ2(2, N=194) = 4.92,p=.027, φc=.16 (smalleffect size).

Discussion

As the COVID-19 pandemic continued to be a global concern when this manuscript wasbeing prepared in June 2020, the results of this study reflected the impact of thepandemic on families with school-aged children within the first three months of arapid outbreak in the United States. Although the COVID-19 virus itself is supposedto be nondiscriminatory, our findings revealed inequitable consequences of thepandemic for low-income families and families of color. We observed that parents oflow-income and lower-middle class households (≤US$50,000), as well as parents ofcolor, experienced more adverse instrumental and financial hardships, such asreduced pay or income, furlough, and job loss or potential job loss. The findingsare consistent with a recent report from the U.S. Department of Labor revealing thatthe historical layoffs due to the COVID-19 pandemic took the biggest toll ontraditionally minoritized groups, including women, Blacks, Latinos, and thelow-income workers (cited in Jones, 2020). In addition, we observed that low-income and lower-middleclass parents, as well as parents of color, were less likely to have the privilegeto work remotely from home, increasing their risk of exposure to the COVID-19 virus.A recent study (Hawkins,2020) suggested that people of color are more vulnerable to COVID-19infection due to the nature of their occupation and employment, as they are morelikely to be considered “essential” or “frontline” workers in occupations with moreexposure to infections and close proximity to others (e.g., food service, cleaningand building maintenance, retail and hospitality, warehouse work, public transitwork, etc.).

The COVID-19 pandemic forced an unprecedented, massive school closure across theUnited States in the Spring of 2020. The majority of PreK–12 students across racesand income levels continued their education through long-distance learning (e.g.,web-based instructional methods, video conferencing, etc.) provided by theirschools. However, we observed that students from low-income and lower-middle classhouseholds, compared to those from upper-middle and high-income families, appearedto have a lower rate of engagement in long-distance learning through school. Lack ofresources, such as computers and Internet accessibility and stability, might havepartially prevented students in low-income and lower-middle households from engagingin long-distance learning. To ensure equitable educational opportunities, schoolsneed to further assess the barriers for students from low-income households toengage in long-distance learning and to provide needed equipment and support forthem.

In addition, school meal programs are essential to many American families. Weobserved that low-income and lower-middle class families were more likely to beaffected by their children missing free and reduced-price school meals due to thepandemic, when compared to higher income families. Communities and school need towork collaboratively to provide meals to students in need during school closuresthrough different practices (e.g., curbside grab-and-go, delivery routes, mobilefood pantries, etc.).

While students stayed home due to school closures in response to the pandemic, weobserved that about one-third of families did not have a clear structure andschedule at home to support their children’s learning. Particularly, moremiddle-class parents appeared to struggle to create and maintain a clear structureand routines at home. It is possible that middle-class parents were cognizant of theimportance of having a clear structure and routines at home but did not have themeans for implementation. Schools may provide support through consultation to helpparents design and implement customized structure and schedule plans for theirchildren, while taking account of family structure, parent’s work schedule, and lifecirc*mstances.

Even though low-income and lower-middle class parents, as well as parents of color,experienced more instrumental and economic challenges, we observed that upper-middleand high-income parents were more likely to report that school closure had been amajor problem for them. Particularly, parents of higher incomes and White parentswere more likely to feel stressed over structuring home learning environments, andplanning educational and physical activities at home for their children. The gap ismost significant between parents of upper-middle and high-income class and those oflow-income and lower-middle class. It is possible that upper-middle and high-incomeparents were more likely to work from home during the pandemic than low-income andlower-middle class parents; therefore, their immediate exposure to and associationwith their children’s learning at home resulted in additional responsibilities andperceived stress. It is also possible that low-income and lower-middle class parentswere more likely to be overwhelmed by immediate financial challenges. They were moreconcerned about their family’s basic needs, such as food, clothes, and shelter, thanstructuring their children’s days and planning educational and physical activitiesat home for their children. Schools can play a pivotal role in providing neededpsychological and instrumental support based on families’ specific needs.

This study has some limitations. Because of the cross-sectional nature of thisobservational study, causation can never be exactly known. It is possible that theracial and income differences observed in this study might be partially attributedto other social and political events and conflicts (e.g., police brutality, racism,Black Lives Matter Movement) that were simultaneously occurring in the U.S. in theera of the COVID-19 pandemic (Thomeer et al., 2020). More research is needed to understand thecomplexity of the dynamic interplay of social, political, and economic factors infamilies’ lives during a pandemic. The majority of the participants were Whitefemales from higher income clusters. Parents from low-income and middle classes weredisproportionately underrepresented in the sample. Although participants resided in26 states in the United States, more than half majority were from New York State.Our online recruitment efforts might not reach families that had zero or limitedaccess to the Internet or the sites where our online messages were posted.Therefore, the sample might not represent the entire U.S. population. However, wedid not intend to conduct this study as a population research to understand theoverall impact of the COVID-19 on families, but to focus on the roles of incomelevel and race/ethnicity in the experiences of families with school-aged childrenduring the pandemic. Our findings highlight the importance of evaluating theinstrumental and psychosocial impact of the pandemic on families. Moreover, as weobserved inequitable outcomes of the pandemic for low-income and racially minorityfamilies, schools and communities should further assess and address the specificchallenges and difficulties facing diverse families in order to provide neededsupport for them.

Footnotes

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to theresearch, authorship, and/or publication of this article.

Funding: The author(s) received no financial support for the research, authorship, and/orpublication of this article.

Ethical Approval: The IRB review board at the City University of New York approved thisresearch.

ORCID iD: Cliff Yung-Chi Chen Impact of the 2020 pandemic of COVID-19 on Families with School-agedChildren in the United States: Roles of Income Level and Race (7)https://orcid.org/0000-0001-8659-5305

References

  • Araz O.M., Lant T., Fowler J.W., Jehn M.(2013). Simulation modeling for pandemicdecision making: A case study with bi-criteria analysis on schoolclosures. Decision Support Systems,55, 564–575. 10.1016/j.dss.2012.10.013 [CrossRef] [Google Scholar]
  • Auxier B., Anderson M.(2020, March16). As schoolsclose due to the coronavirus, some U.S. students face a digital “homeworkgap.” Pew Research Center. https://pewrsr.ch/2IP3yC5
  • Brown S.M., Doom J.R., Lechuga-Peña S., Watamura S.E., Koppels T.(2020). Stress and parenting during the globalCOVId-19 pandemic. Child Abuse and Neglect.Advance online publication. 10.1016/j.chiabu.2020.104699 [PMC free article] [PubMed] [CrossRef]
  • Centers for Disease Control andPrevention (2010,September10). Parental attitudesand experiences during school dismissals related to 2009 influenza A(H1N1)—United States, 2009. Morbidity and MortalityWeekly Report (MMWR), 59(35),1131–1134. [PubMed] [Google Scholar]
  • Centers for Disease Control andPrevention. (2020. a,August18). COVID-19 hospitalization and deathby race/ethnicity. https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investigations-discovery/hospitalization-death-by-race-ethnicity.html
  • Centers for Disease Control andPrevention. (2020. b, July24).Health equity considerations and racial and ethnic minoritygroups. https://www.cdc.gov/coronavirus/2019-ncov/community/health-equity/race-ethnicity.html
  • Chen J.A., Zhang E., Liu C.H. (2020).Potential impact of COVID-19-realted racial discrimination onthe health of Asian Americans. American Journal ofPublic Health, 110(11),1624–1627. 10.2105/AJPH.2020.305858 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  • Cohen J.(1998). Statistical power and analysis for thebehavioral sciences (2nd ed., pp.79–80). Lawrence ErlbaumAssociates. [Google Scholar]
  • Education Week(2020, May15). Map:Coronavirus and school closures. https://www.edweek.org/ew/section/multimedia/map-coronavirus-and-school-closures.html
  • Fegert J.M., Vitiello B., Plener P.L., Clemens V.(2020). Challenges and burden of the Coronavirus2019 (COVID-19) pandemic for child and adolescent mental health: A narrativereview to highlight clinical and research needs in the acute phase and thelong return of normality. Child and AdolescentPsychiatry and Mental Health,14(20), 10.1186/s13034-020-00329-3 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  • Greene S., McCargo A.(2020, May29). New datasuggest COVID-19 is widening housing disparities by race andincome. Urban Institute. https://urbn.is/2TOXyPA
  • Germann T.C., Gao H., Gambhir M., Plummer A., Biggerstaff M., Reed C., Uzicanin A.(2019). School dismissal as a pandemic influenzaresponse: When, where and for howlong? Epidemics, 28,1–10. 10.1016/j.epidem.2019.100348 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  • Gould E., Wilson V.(2020, June1). Black workersface two of the most lethal preexisting conditions for coronavirus-racismand economic inequality. Economic PolicyInstitute. https://www.epi.org/publication/black-workers-covid/
  • Hawkins D.(2020). Differential occupational risk forCOVID-19 and other infection exposure according to race andethnicity. American Journal of IndustrialMedicine. Advance online publication. 10.1002/ajim.23145 [PMC free article] [PubMed] [CrossRef]
  • Horowitz J.M. (2020).Lower-income parents most concerned about their children fallingbehind amid COVID-19 school closures. https://pewrsr.ch/2K72Oc3
  • Johns Hopkins University andMedicine. (2020). COVID-19 dashboard by theCenter for Systems Science and Engineering (CSSE) at Johns HopkinsUniversity and Medicine. Coronavirus Resource Center. https://coronavirus.jhu.edu/map.html
  • Jones C.(2020, May8). Historiclayoffs take biggest toll on Blacks, Latinos, women and the young.https://www.usatoday.com/story/money/2020/05/08/covid-19-layoffs-take-toll-women-people-color-and-young/3094964001/
  • Kantamneni N.(2020). The impact of the COVID-19 pandemic onmarginalized populations in the United States: A researchagenda. Journal of Vocational Behavior,119. Advance online publication. 10.1016/j.jvb.2020.103439 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  • Kochhar R.(2018, September6). TheAmerican middle class is stable in size, but losing ground financially toupper-income families. Pew Research Center. https://www.pewresearch.org/fact-tank/2018/09/06/the-american-middle-class-is-stable-in-size-but-losing-ground-financially-to-upper-income-families/
  • Kumar S., Quinn S.C., Kim K.H., Daniel L.H., Freimuth V.S. (2012).The impact of workplace policies and other social factors onself-reported influenza-like illness incidence during the 2009 H1N1pandemic. American Journal of PublicHealth, 102, 134–140. 10.2105/AJPH.2011.300307 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  • Lee S., Waters S.F. (2020).Asians and Asian Americans’ experiences of racialdiscrimination during the COVID-19 pandemic: Impacts on health outcomes andthe buffering role of social support. Stigma andHealth. Advance online publication. 10.1037/sah0000275 [CrossRef]
  • Nabarro D., Wannous C.(2016). The links between public and ecosystemhealth in light of the recent Ebola outbreaks and pandemicemergence. EcoHealth,13(2),227–229. 10.1007/s10393-016-1123-y [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  • Prime H., Wade M., Browne D.T. (2020).Risk and resilience in family well-being during the COVID-19pandemic. American Psychologist,75(5),631–643. 10.1037/amp0000660 [PubMed] [CrossRef] [Google Scholar]
  • Qui W., Rutherford S., Mao A., Chu C.(2016. –2017). The pandemic and itsimpacts. Health, Culture and Society,9–10, 3–11. 10.5195/hcs.2017.221 [CrossRef] [Google Scholar]
  • Ruiz N.G., Horowitz J.M., Tamir C.(2020, July1). Many Black andAsian Americans say they have experienced discrimination amid the COVID-19outbreak. Pew Research Center.https://www.pewsocialtrends.org/2020/07/01/many-black-and-asian-americans-say-they-have-experienced-discrimination-amid-the-covid-19-outbreak/
  • Thomeer M.B., Yahirun J., Colón-López A.(2020). How families matter for healthinequality during the COVID-19 pandemic. Journal ofFamily Theory & Review, 12(4),448–463. 10.1111/jftr.12398 [PMC free article] [PubMed] [CrossRef] [Google Scholar]

Articles from Journal of Family Issues are provided here courtesy of SAGE Publications

Impact of the 2020 pandemic of COVID-19 on Families with School-aged
Children in the United States: Roles of Income Level and Race (2024)
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