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RESEARCH ARTICLE

Clinical, financial and social impacts of COVID-

19 and their associations with mental health

for mothers and children experiencing

adversity in Australia

Hannah Bryson 1,2

, Fiona Mensah 2,3

, Anna Price 1,2,3

, Lisa Gold 4 , Shalika

Bohingamu Mudiyanselage 4 , Bridget Kenny

1,2 , Penelope Dakin

5 , Tracey Bruce

6 ,

Kristy Noble 5 , Lynn Kemp

6 , Sharon GoldfeldID

1,2,3*

1 Centre for Community Child Health, The Royal Children’s Hospital, Parkville, VIC, Australia, 2 Population

Health, Murdoch Children’s Research Institute, Parkville, VIC, Australia, 3 Department of Paediatrics,

University of Melbourne, Parkville, VIC, Australia, 4 School of Health and Social Development, Deakin

University, Burwood, VIC, Australia, 5 Australian Research Alliance for Children and Youth, Canberra City,

ACT, Australia, 6 Ingham Institute, Western Sydney University, NSW, Australia

* [email protected]

Abstract

Background

Australia has maintained low rates of SARS-COV-2 (COVID-19) infection, due to geo-

graphic location and strict public health restrictions. However, the financial and social

impacts of these restrictions can negatively affect parents’ and children’s mental health. In

an existing cohort of mothers recruited for their experience of adversity, this study exam-

ined: 1) families’ experiences of the COVID-19 pandemic and public health restrictions in

terms of clinical exposure, financial hardship family stress, and family resilience (termed

‘COVID-19 impacts’); and 2) associations between COVID-19 impacts and maternal and

child mental health.

Methods

Participants were mothers recruited during pregnancy (2013–14) across two Australian

states (Victoria and Tasmania) for the ‘right@home’ trial. A COVID-19 survey was con-

ducted from May-December 2020, when children were 5.9–7.2 years old. Mothers reported

COVID-19 impacts, their own mental health (Depression, Anxiety, Stress Scales short-

form) and their child’s mental health (CoRonavIruS Health and Impact Survey subscale).

Associations between COVID-19 impacts and mental health were examined using regres-

sion models controlling for pre-COVID-19 characteristics.

Results

319/406 (79%) mothers completed the COVID-19 survey. Only one reported having had

COVID-19. Rates of self-quarantine (20%), job or income loss (27%) and family stress (e.g.,

difficulty managing children’s at-home learning (40%)) were high. Many mothers also

PLOS ONE

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OPEN ACCESS

Citation: Bryson H, Mensah F, Price A, Gold L,

Mudiyanselage SB, Kenny B, et al. (2021) Clinical,

financial and social impacts of COVID-19 and their

associations with mental health for mothers and

children experiencing adversity in Australia. PLoS

ONE 16(9): e0257357. https://doi.org/10.1371/

journal.pone.0257357

Editor: Livio Provenzi, Fondazione Istituto

Neurologico Nazionale C Mondino Istituto di

Ricovero e Cura a Carattere Scientifico, ITALY

Received: June 15, 2021

Accepted: August 30, 2021

Published: September 13, 2021

Peer Review History: PLOS recognizes the

benefits of transparency in the peer review

process; therefore, we enable the publication of

all of the content of peer review and author

responses alongside final, published articles. The

editorial history of this article is available here:

https://doi.org/10.1371/journal.pone.0257357

Copyright: © 2021 Bryson et al. This is an open access article distributed under the terms of the

Creative Commons Attribution License, which

permits unrestricted use, distribution, and

reproduction in any medium, provided the original

author and source are credited.

Data Availability Statement: Data cannot be

shared publicly because they contain sensitive

reported family resilience (e.g., family found good ways of coping (49%)). COVID-19

impacts associated with poorer mental health (standardised coefficients) included self-quar-

antine (mother: β = 0.46, child: β = 0.46), financial hardship (mother: β = 0.27, child: β = 0.37) and family stress (mother: β = 0.49, child: β = 0.74). Family resilience was associated with better mental health (mother: β = -0.40, child: β = -0.46).

Conclusions

The financial and social impacts of Australia’s public health restrictions have substantially

affected families experiencing adversity, and their mental health. These impacts are likely to

exacerbate inequities arising from adversity. To recover from COVID-19, policy investment

should include income support and universal access to family health services.

Introduction

The coronavirus SARS-COV-2 (COVID-19) was first confirmed in Australia in January 2020.

Strict public health restrictions (“lockdown”) were imposed nationally from March 2020 to

reduce the spread of the virus (see Fig 1). As of 31 December 2020, Australia had recorded an

overall incidence rate of 111 cases and 3.5 deaths per 100,000 people [1]. The peak of infections

occurred in July 2020 when the State of Victoria experienced a second wave of infections, with

the national rate reaching 721 new cases (2.8 per 100,000) in 24 hours. These figures are rela-

tively low compared with other high-income countries such as the United States (US) and

United Kingdom (UK), which had recorded overall rates of 5895 and 3730 cases per 100,000

respectively, with peaks at around 70 to 75 new cases in 24 hours per 100,000 [1]. While

COVID-19 symptoms are generally less severe in children and young adults, [2–4] the signifi-

cant economic and social impacts have negatively affected the mental health of parents and

children, both in Australia [5, 6] and internationally [7, 8]. Emerging global evidence suggests

that these impacts disproportionately affect families who were experiencing adversity (e.g.

parental unemployment, low educational attainment, relationship difficulties, poor mental

health) before the pandemic [9, 10]. However, there are few empirical studies examining the

Fig 1. Timeline of COVID-19 policy implementation and impacts on families.

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participant information which are restricted to use

for research purposes only. This restriction is in

accordance with the Participant Information and

Consent Form and approved study protocol,

governed by the Royal Children’s Hospital Human

Research Ethics Committee (HREC 32296). We

invite researchers to request access to the data

from the Melbourne Children’s Campus LifeCourse

institutional data access platform (https://

lifecourse.melbournechildrens.com/data-access/)

or the governing Royal Children’s Hospital HREC.

Funding: “right@home” is funded by the Victorian

Department of Education and Training (https://

www.education.vic.gov.au/), the Tasmanian

Department of Health and Human Services (https://

www.health.tas.gov.au/, the Ian Potter Foundation

(https://www.ianpotter.org.au/), Sabemo Trust,

Sidney Myer Fund (https://www.myerfoundation.

org.au/), the Vincent Fairfax Family Foundation

(https://vfff.org.au/) and the Australian National

Health and Medical Research Council (NHMRC,

Project Grant 1079148 - https://www.nhmrc.gov.

au/). The right@home COVID-19 data collection

was supported by the Victorian Department of

Health and Human Services (https://www.dhhs.vic.

gov.au/), Morgan Stanley (https://www.

morganstanley.com.au/) and the Vincent Chiodo

Charitable Trust. Research at the MCRI is

supported by the Victorian Government’s

Operational Infrastructure Support Program. FM is

supported by NHMRC Career Development

Fellowship 1111160. SG is supported by NHMRC

Practitioner Fellowship 1155290. The funders had

no role in study design, data collection and

analysis, decision to publish, or preparation of the

manuscript.

Competing interests: The authors have declared

that no competing interests exist.

impacts of the COVID-19 pandemic for mothers and children who were already experiencing

adversity before the pandemic.

Fig 1 describes the public health restrictions implemented by the Australian Federal and

State Governments across the first 10 months of the pandemic [11–13]. During the national

lockdown from March to June 2020, all Australians were advised to stay home, schools were

temporarily closed, children transitioned to at-home learning, limits were placed on visitors in

the home and operation of non-essential businesses was restricted. As lockdown eased for all

States and Territories, Metropolitan Melbourne was uniquely impacted by a second lockdown

with additional restrictions implemented from July to November 2020 [11]. These included

gatherings limited to two people, night-time curfews, limits on distance (5 kilometres) time (1

hour) and reasons for leaving the home (essential services, exercise and providing care), and

restricted access to early childhood education and care providers.

Australia’s lockdown measures led to widespread job and income loss. Between March and

July 2020, Australian unemployment increased from 5.2% to 7.5% (a 20-year high) and under-

employment from 8.8% to 11.7% [14]. To mitigate these economic impacts, the Australian

Government implemented policies which included a Coronavirus supplement to unemploy-

ment benefits (‘JobSeeker’) which effectively doubled the existing benefit from $550 to $1,100

a fortnight [15]. A wage subsidy was also introduced for eligible businesses to support reten-

tion of their workforce (‘JobKeeper’), and free childcare was implemented for working families

[16]. However, the amount, eligibility and duration of these benefits were progressively

reduced through the latter half of 2020, with free childcare ended by July 2020 and both the

Coronavirus supplement and JobKeeper ended by April 2021 [15, 16]. Despite these policies,

many families have experienced substantial financial stress and hardship, [6, 17] with emerg-

ing evidence that young adults and women were among those most impacted [18].

The nexus between financial hardship, such as parent unemployment and loss of income,

and poorer child and family mental health is well researched [19]. Financial hardship impacts

parents’ ability to pay for essentials and to care for and invest in resources for their children.

Additionally, it puts families at greater risk of poor mental health, family violence and child

maltreatment [20–22]. Subsequently, poor parent mental health can negatively impact parents’

own health, [23] as well as their children’s behavioural and emotional outcomes [24, 25].

Research from previous pandemics has demonstrated the negative psychological impacts of

quarantine, social isolation and loss of schooling on child and family mental health outcomes

such as depression, anxiety, stress, anger and confusion [26, 27].

Research examining the impacts of the COVID-19 pandemic and public health restrictions

suggests mental health difficulties amongst parents and children have increased [5, 28, 29]. For

example, a national survey of Australian households (the National Child Health Poll) in June

2020 found almost half of parents (48%) reported that the pandemic had negatively impacted

their mental health, and this was more likely amongst those who had experienced financial

impacts [6]. Similarly, a nationally weighted survey of parents in the United States in June

2020 found that 27% of parents reported their mental health had declined during the first 3

months of the pandemic [30]. Families reporting poorer mental health were also more likely to

have lost access to regular childcare and be experiencing financial hardship (assessed as food

insecurity). These findings were again mirrored by those of a UK study which surveyed fami-

lies in a highly deprived and ethnically diverse city in April to June 2020; this study found high

rates of poor mental health amongst mothers (39–43%) and that poor mental health was also

associated with unemployment, housing insecurity and lack of social support during the public

health restrictions [7].

With regard to children’s mental health, an online survey of 5823 parents in Austria, Ger-

many Liechtenstein and Switzerland in April to May 2020 found that 33–43% of parents

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reported an increase in their child’s emotional and behavioural difficulties from the onset of

the pandemic, amongst 1- to 6-year-olds [31]. Similarly, a nationally representative study in

Germany which surveyed families between May to June 2020 found that rates of mental health

difficulties had approximately doubled from pre-pandemic figures, amongst 7- to 17-year-

olds. Again, these increases in poor mental health were greatest amongst families experiencing

socioeconomic adversity and were also greater amongst younger children [32]. For families

who were experiencing adversity before the pandemic, limited resources and supports are

likely to be further diminished by both the financial and social effects of the pandemic and

related restrictions [10]. These impacts are expected to increase the risk of poor parent and

child mental health amongst families experiencing adversity, with children bearing a dispro-

portionate burden.

To be effective and equitable, Australia’s public policy responses for post-COVID-19 recov-

ery must consider how lockdown has affected families experiencing adversity; including both

risk and protective factors that have emerged. To this end, the current study uses data collected

opportunistically during the first 10 months of the COVID-19 pandemic in Australia, in an

established cohort of mothers and children who were recruited for their experience of adver-

sity. Mothers were recruited during pregnancy in two states of Australia (Victoria and Tasma-

nia) as part of the ‘right@home’ trial [33]; their children were 5 to 7 years old when both

lockdown periods occurred between March and December 2020. In this cohort of Australian

mothers and children, our study aimed to examine: 1) families’ experiences of the COVID-19

pandemic and public health restrictions in terms of clinical exposure, changes to financial cir-

cumstances, current financial hardship, family stress and family resilience (termed ‘COVID-

19 impacts’); and 2) the associations between these COVID-19 impacts and maternal and child

mental health.

Methods

Design and setting

This was an Australian cohort study drawing on data collected within the ‘right@home’ rando-

mised controlled trial of nurse home visiting. In 2013–14, 722 women were recruited to the

trial based on their experience of adversity during pregnancy (summarized below and pub-

lished in detail), at which time they provided written informed consent to participate [33]. The

nurse home visiting program (the intervention) was embedded into the existing universal

child and family health service (which served as the usual care comparator). Women were ran-

domised to receive the intervention which comprised 25 home visits focusing on promoting

child health and development via parenting and the home environment, from pregnancy to

child age 2 years.

Within the right@home trial, mothers and children were followed-up with comprehensive

annual assessments until children turned 6. Mothers provided written informed consent to re-

enrol in extended follow-up at child age 2 years (n = 558/722 (77%)) and 5 years (n = 406/558

(56%)). The 6-year assessments began in May 2019 and were underway when COVID-19 was

confirmed in Australia and lockdown measures were enacted. From 6 May to 6 December

2020, we assessed families’ experiences of the COVID-19 pandemic and restrictions as well as

mothers’ and children’s mental health, as part of the 6-year assessment (children were

aged 5.9–6.4 years). For those who had already completed the 6-year assessment before

6 May 2020, we invited them to complete a stand-alone COVID-19 survey (children were aged

6.1–7.2 years).

The hypothesised model of the clinical, financial and social impacts of COVID-19 and their

associations with maternal and child mental health are shown in Fig 2. For the current study,

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all mothers and children who participated in the COVID-19 follow-up (both intervention and

usual care arms) were included as a single observational cohort; randomisation status was con-

trolled for in all analyses to account for the original trial study design.

Participants

The right@home trial recruited pregnant women attending the antenatal clinics of 10 public

maternity hospitals in metropolitan and regional areas of Victoria and Tasmania, Australia,

between 30 April 2013 to 29 August 2014. Inclusion criteria were women with (i) expected due

dates before 1 October 2014, (ii) less than 37 weeks gestation into their pregnancy at the time

of recruitment, (iii) sufficient English proficiency to complete assessments, (iv) home

addresses within travel boundaries of the study and (v) self-reported two or more of 10 antena-

tal adversity risk factors including: young pregnancy; not living with another adult; no support

in pregnancy; poorer health; a long-term illness, health problem or disability that limits daily

activities; coping difficulties; low education; no person in the household who currently earns

an income; and never having had a job before [33, 34]. Antenatal risk factors were selected to

identify mothers who were at risk of experiencing ongoing adversities known to be associated

with poorer child health and development, and who may benefit from additional support for

themselves and their child. Exclusion criteria were women who (i) were enrolled in an existing

Tasmanian nurse home visiting program, (ii) did not comprehend the recruitment invitation

Fig 2. Conceptual model of COVID-19 impacts and their associations with maternal and child mental health.

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(e.g. had an intellectual disability such that they were unable to consent to participation, or

had insufficient English to complete assessments), (iii) had no way to be contacted, or (iv)

experienced a critical event that excluded their participation (termination of pregnancy, still

birth, participant or child death).

Measures

COVID-19 impacts. COVID-19 impacts were assessed using measures of clinical expo-

sure, changes to financial circumstances, current financial hardship, family stress and family

resilience. Items were drawn from the Coronavirus Health and Impact Survey Version 3 (CRI-

SIS 3.0) [35, 36], the Australian Temperament Project Generation 3 (ATPG3) [37] and the

Household, Income and Labour Dynamics in Australia (HILDA) Survey [38]. Details of indi-

vidual items and the derived exposure summary measures for each COVID-19 impact are

shown in Table 1. The Australian state in which the mother lived at the time of the COVID-19

data collection was also recorded.

Maternal mental health. Maternal mental health was measured using the 21-item short

form of the Depression Anxiety and Stress Scales (DASS-21) [39]. The DASS-21 was selected

as it is a widely used and validated measure of mental health [40] and is consistent with the

repeated measurement throughout the right@home trial. Items are rated on a 4-point scale

(“not at all” to “most of the time”) assessing symptoms of depression, anxiety and stress experi-

enced during the past week. Scores are summed to produce a continuous total score (range

0–63). Higher scores indicate poorer mental health.

Child mental health and wellbeing. Child mental health and wellbeing was measured

using the 8-item parent-reported CoRonavIruS Health Impact Survey 3.0 Child Mood States

scale (CRISIS 3.0) [35, 36]. The CRISIS 3.0 Child Mood States scale was selected as a newly val-

idated but widely adopted measure of child mental health in the context of the COVID-19 pan-

demic. Items are rated on a 5-point scale, indicating the extent to which the child has

experienced feeling worried, anxious, sad and depressed, tired, distracted or irritable and

angry over the past 2 weeks. Scores are calculated as the mean of all 8 items, to produce a single

scale score (range 0–5). Higher scores indicate more negative mood.

Pre-COVID-19 characteristics. Pre-COVID-19 characteristics were included as potential

confounders when examining the association between COVID-19 impacts and mental health.

Data were drawn from the routine follow-up completed most recently, prior to substantial

COVID-19 occurrence in Australia (defined as 1 March 2020). This was either the 5-, 5.5- or

6-year follow-up (each being within the year preceding the COVID-19 data collection). Items

included the main source of household income (government benefit or pension versus paid

employment); mother’s marital status (single or not living with a partner versus married or liv-

ing with a partner); mother’s education (did not versus did complete high school or any fur-

ther training); and maternal mental health assessed using the DASS-21.

Statistical analyses

Clinical, financial and social impacts of COVID-19 were described (n, %) for the whole cohort.

Supplementary analyses stratified by state (Victoria, Tasmania, Other) and stage within the

COVID-19 restrictions (6 May-1 June, 2 June-7 July, 8 July-23 Nov) were conducted to investi-

gate whether experiences varied across the different states and different levels of restrictions.

Associations between COVID-19 impacts and maternal mental health (DASS Total Score)

and child mental health (CRISIS Child Mood States scale) were estimated using linear regres-

sion models. The COVID-19 impacts (Table 1) were examined as exposure measures of: clini-

cal exposure (mother or child self-quarantine); changes to financial circumstances (mother

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lost job or had reduced ability to earn); total financial hardship; family stress; and family resil-

ience. Both maternal and child mental health outcomes were rescaled to z-scores (mean 0,

standard deviation 1) to standardise scores and assist interpretation.

Linear regression models examined COVID-19 impacts for associations with maternal and

child mental health. Exposures (COVID-19 impacts) were first examined individually to

Table 1. Measures of families’ experiences during the COVID-19 pandemic and public health restrictions

(COVID-19 impacts).

Items Summary measure

Clinical exposure Four items assessing mother, child, household

family, and non-household family members

who had a positive (confirmed case) test result

(‘yes’ / ‘no’); two items assessing mother and

child who had a negative test result (‘yes’ /

‘no’); and two items assessing whether mother

or child had been required to self-quarantine

(‘yes’/‘no’). Items drawn from the CRISIS 3.0

tool [35, 36].

Presenting for free COVID-19 testing and

undertaking self-quarantine was required

under Australian guidelines for returned

travellers, confirmed cases, close contacts of

confirmed cases, those with symptoms, and

those awaiting test results.

Given the overall low incidence of cases in

Australia, it was anticipated that there

would be few confirmed cases within this

cohort. Thus, mother or child experience of

self-quarantine were used to create a single

item reflecting any self- quarantine, as the

summary measure of clinical exposure.

Mother and/or child self-quarantine: ‘yes’ /

‘no’.

Changes to financial

circumstances

Two items assessing mother and family

member lost job (‘yes’/’no’) and two items

assessing mother and family member had

reduced ability to earn (‘yes’/’no’). Items

drawn from the CRISIS 3.0 tool [35, 36].

Mother experienced job loss and/or reduced

ability to earn: ‘yes’/‘no’

Current financial

hardship

Five items assessing family experience of the

following financial hardships/difficulties

paying: mortgage or rent; household bills;

food; healthcare; home or car insurance. All

‘yes’/’no’ items, drawn from the Household,

Income and Labour Dynamics in Australia

(HILDA) Survey Wave 18 Household

Questionnaire Material Deprivation Module

[38].

Current financial hardship: total count of

five financial hardship items. Range 0–5,

higher scores indicate more financial

hardships.

Family stress/

negative change

Five items, rated on a 5-point scale: how

worried mother is about self or family/friends

being infected; how worried child is about self

being infected; how worried child is about

family/friends being infected; how stressful

changes in contact with family have been for

child; how difficult at home learning has made

paid work/home duties for mother. Items

drawn from the CRISIS 3.0 tool [35, 36].

Family stress/negative change: Mean of five

items. Range 0–5, higher scores indicate

more stress and negative change.

Family resilience/

positive change

Seven items, rated on a 5-point scale: overall

rating of quality of relationships with family

and friends; how focused and productive

mother has felt in work/domestic duties;

overall positive changes in family and

community; rating of quality of relationships

between child and siblings; extent to which

family has found good ways of coping;

household/family have provided support to

people in the community; child is enjoying

online learning. Range 0–5, higher scores

indicate more positive change and resilience.

Items drawn from the CRISIS 3.0 tool [35, 36],

and the ATPG3.

Family resilience/positive change: Mean of

seven items. Range 0–5, higher scores

indicate more resilience and positive

change.

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identify evidence of associations for each COVID-19 impact with maternal and child mental

health, adjusting for pre-COVID-19 characteristics of household income, mother’s marital sta-

tus and mother’s education; State of residence at the time of COVID-19 data collection (Vic,

Tas or Other); and randomisation status (intervention versus control) (Model 1). A second

series of models additionally adjusted for pre-COVID-19 maternal mental health (Model 2).

Finally, all exposures (COVID-19 impacts) were analysed in a single model to identify evi-

dence of their unique associations with maternal and child mental health, after accounting for

each of the other exposures. Model 3 also adjusted for all potential covariates included in

Model 2. We anticipated that there would be co-occurrence between each of the COVID-19

impacts and pre-COVID-19 maternal mental health; we therefore present all models to allow

interpretation of these associations at each level of adjustment.

Data were analysed using Stata 16.0 for Windows (Stata Corp, College Station, TX).

Ethical approval

The right@home trial, including the COVID-19 follow-up, were approved by the Royal Chil-

dren’s Hospital Human Research Ethics Committee (HREC 32296), Australia.

Results

Of the 406 women enrolled in the extended 5- to 8-year follow-up, 319 (79%) completed the

COVID-19 data collection either as part of their routine 6-year follow-up (n = 123) or as a

stand-alone survey (n = 196) (Fig 3). Participant characteristics, including pre-COVID-19

characteristics, are shown in Table 2. Children were aged between 5.9 and 7.2 years at the time

of the COVID-19 survey (mean 6.4 years, SD 0.3). The majority of families were living in Vic-

toria (n = 210, 66%) or Tasmania (n = 97, 30%) at the time of the survey. Pre-COVID-19 char-

acteristics showed mothers were experiencing high levels of adversity in the year before the

pandemic: 53% were not in paid employment, 41% received their main source of household

income from a benefit or pension, 21% had not completed high school or any further educa-

tion and 27% were not living with another adult.

Table 3 shows rates of clinical exposure, changes to financial circumstances and current

financial hardship. Within this cohort, one family reported the mother and the child had

received a positive test result (confirmed case) for COVID-19, while 7% (n = 22) reported a

household family member and 3% (n = 8) reported a non-household family member had a

positive test result. Self-quarantine of either the mother or child was reported by 20% (n = 63).

Regarding changes in financial circumstances, 27% of mothers (n = 85) reported job or income

loss for themselves and 27% (n = 83) reported job or income loss for a family member; 44%

(n = 139) in total reported any job or income loss. These figures were similar across State of

residence and timing of data collection relative to the level of lockdown in place, although

rates of self-quarantine were higher amongst those living in Victoria and those assessed

between 8 Jul and 6 Dec, which aligns with Metropolitan Melbourne’s second wave of infec-

tions and stringent lockdown (S1 Table).

Maternal reported COVID-19 impacts of family stress and resilience are shown in Fig 4.

One third of mothers reported being moderately to extremely worried about themselves or

family members becoming infected (30%) and that changes in contact with family and friends

had been moderately to extremely stressful for their child (33%). Half of mothers (49%)

reported that their child’s at-home learning often or almost always made their usual duties

more difficult. There were also positive changes; 48% of mothers reported that their family had

often or almost always found good ways of coping and 29% reported providing support to peo-

ple in the community.

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Associations between COVID-19 impacts (clinical exposure, changes to financial circum-

stances, financial hardship, family stress, and family resilience) and mental health for mothers

and children are shown in Table 4. Regression coefficients (β) are presented as standardised coefficients, which can be interpreted as the number of standard deviations difference in the

mental health outcome (comparable to effect sizes). The R-squared statistic (R 2 ) is also shown

as the proportion of the variance in maternal and child mental health that is explained by each

model. When examining each COVID-19 impact as individual exposures in separate

Fig 3. Participant flow.

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regression models, any self-quarantine (β = 0.46, p = 0.003), greater financial hardship (β = 0.27, p<0.001) and more family stress (β = 0.49, p<0.001) were all associated with higher self- reported maternal mental health symptoms, while greater family resilience was associated with

lower maternal mental health symptoms (β = -0.40, p<0.001). These associations each accounted for pre-COVID-19 characteristics, state of residence and randomisation status

(Model 1). The variance explained by each of these models ranged from 5% (any self-quaran-

tine) to 13% (family stress). Associations for self-quarantine, greater financial hardship and

family stress were also evident after additionally controlling for pre-COVID-19 maternal men-

tal health, while the association for family resilience was attenuated (Model 2). Similar associa-

tions were identified for child mental health, although maternal job or income loss was

associated with poorer child mental health (β = 0.37, p = 0.006) while overall financial hardship was not (Model 1). The variance explained by each of these models ranged from 7% (maternal

job or income loss) to 31% (family stress). The associations for child mental health were all still

evident after additionally controlling for pre-COVID-19 maternal mental health (Model 2).

When all COVID-19 impacts were examined in a single model (Model 3), accounting for

any co-occurring effects of the exposures, greater family stress showed the strongest associa-

tion with both maternal (β = 0.31, p<0.001) and child (β = 0.68, p<0.001) mental health, and greater family resilience was associated with lower child mental health symptoms (β = -0.36, p<0.001). Other associations were attenuated slightly. The variance explained by the models

when accounting for all COVID-19 impacts as well as pre-COVID characteristics state of resi-

dence, randomisation status and pre-COVID-19 maternal mental health was 42% for maternal

mental health and 39% for child mental health.

Discussion

This study aimed to examine the clinical, financial and social impacts of the COVID-19 pan-

demic and their associations with maternal and child mental health, in a unique cohort of

Table 2. Participant characteristics.

N %

N = 319

Child characteristics

Gender (female) 162 (50.8)

Age at assessment, years (mean, (SD) [range]) 6.4 (0.3) [5.9–7.2]

Randomisation Status

Program Group 168 (52.7)

Usual Care Group 151 (47.3)

Maternal Pre-COVID-19 characteristics

Household income from benefit or pension 129 (40.7)

Single or not living with partner 121 (38.2)

Not living with another adult 82 (26.5)

Did not complete high school or further education 61 (20.8)

No paid employment 167 (52.7)

State of residence at COVID-19 follow-up

Victoria 210 (65.8)

Tasmania 97 (30.4)

Queensland 8 (2.5)

New South Wales 3 (1.0)

South Australia 1 (0.3)

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Australian mothers recruited for their experience of adversity. In this cohort, only one mother

and her child had experienced a COVID-19 infection. In contrast, high proportions of mothers

reported negative financial and social impacts including job and income loss, worries about

becoming infected, stress related to changes in contact with family and friends, and difficulties

managing usual duties in addition to children’s at-home learning. Many mothers also reported

positive social impacts such as their family finding good ways of coping and supporting others

in the community. Of these, both financial impacts and greater family stress were associated

with poorer maternal and child mental health, while greater family resilience was associated

with better mental health.

These results align with other data on Australian families. An intergenerational cohort sur-

veyed between May to September 2020 found that 24% of parents had experienced job or

income loss, [17] and a nationally-representative poll of Australian families in June 2020

reported a rate of 28% [6]. These are similar to the 27% of women reporting job and income

loss in the current study. Like other studies from both Australian [6, 41, 42] and international

cohorts [7, 28, 29, 32], we found that financial impacts of the COVID-19 pandemic and public

Table 3. Summary data of COVID-19 impacts (individual items and summary measures) and mental health

outcomes.

N%

N = 319

Clinical exposure

Mother–positive test result 1 (0.3)

Mother–negative test result 37 (11.6)

Mother self-quarantined 56 (17.6)

Child–positive test result 1 (0.3)

Child–negative test result 21 (6.7)

Child self-quarantined 36 (11.4)

Household family–positive test result 23 (7.2)

Non-household family–positive test result 8 (2.5)

Mother/child self-quarantine summary 63 (19.8) Changes to financial circumstances

Mother reduced ability to earn 65 (20.4)

Mother lost job 22 (6.9)

Family member reduced ability to earn 51 (16.0)

Family member lost job 36 (11.3)

Mother lost job/income summary 85 (26.7) Current financial hardship

Financial difficulties–mortgage, rent, loan repayments 22 (6.9)

Financial difficulties–household bills 44 (13.8)

Financial difficulties–food 19 (6.0)

Financial difficulties–healthcare 10 (3.1)

Financial difficulties–home, car insurance 20 (6.3)

Total financial hardship summary (mean, (SD) [range]) 0.4 (0.9) [0–5] Family stress and resilience

Family stress summary (mean, (SD) [range]) 2.1 (0.7) [1.0–4.8] Family resilience summary (mean, (SD) [range]) 3.3 (0.6) [1.7–4.9]

Mental health outcomes

Maternal mental health (mean, (SD) [range]) 9.6 (9.5) [0–55]

Child mental health (mean, (SD) [range]) 2.3 (0.7) [1.0–4.4]

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health restrictions were associated with poorer parent and child mental health. For example,

the Born in Bradford study of families living in an economically deprived city of the UK found

more than one third of families experienced financial insecurity during the COVID-19 pan-

demic, and this was associated with parent anxiety and depression [7]. Our findings extend on

the existing literature by demonstrating the relationship for Australian families experiencing

adversity. Notably, families in the current cohort were already less likely to be in paid employ-

ment (53%) or have poorer mental health (20–30% with high mental health symptoms, see

Bryson et al. [43]) before the pandemic. As such, the relative impacts of the public health

restrictions are arguably greater for these families and likely to exacerbate existing health

disparities.

Our findings highlight the critical importance of financial stability for families during crises

such as the COVID-19 pandemic. Amongst families already at risk of financial hardship, rates

of job and income loss were high. These findings were in the context of the Australian Govern-

ments’ Job Keeper and Job Seeker policies (Fig 1), which mitigated some of the financial

impacts for families. These responses represent some of the largest (albeit temporary) social

policy changes in Australia’s history. The JobKeeper and JobSeeker supplements were so sig-

nificant that, by September 2020, overall levels of poverty and housing stress were substantially

Fig 4. Maternal report of family stress and family resilience individual items.

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lower than they had been pre-COVID-19 [15]. However, the current study and wider Austra-

lian evidence show that many families were still financially impacted, [6, 17] and those families

have fared poorly with regard to their mental health and wellbeing [42, 44]. The Jobseeker sup-

plement has since been reduced and subsequently ceased entirely, leaving families at height-

ened risk of worsening economic positions and subsequent poorer mental health.

We further found that families reported high rates of stress related to changes in family

interactions and worries about infection which were associated with poorer parent and child

mental health, in line with previous studies [5, 7, 28, 29]. Previous findings include studies of

families in the UK [7] Canada [29] and the US [30], where lockdown measures were put in

place but COVID-19 infection rates were also high. Even with very low rates of infection in

Australia, we identified similar findings in which an overall measure of family stress had the

strongest associations with poorer maternal and child mental health. The most common of

these experiences was maternal report that their child’s online/at-home schooling made it dif-

ficult to do their usual paid work and/or domestic duties. Other Australian surveys found simi-

lar results; for example, parents who participated in the nationwide COVID-19 Pandemic

Adjustment Survey in April 2020 reported that managing their child’s at-home schooling was

a significant challenge during the pandemic and related restrictions [44]. These findings are

particularly pertinent to the large proportion of families in the current study living in Victoria,

where at home-schooling was prolonged and access to at-school learning was limited for much

of the 2020 school year (see Fig 1).

Promisingly, many families also reported experiences of family resilience. Mothers in the

current study reported that their families found good ways of coping and had provided sup-

port to other people in the community; a total rating of these experiences of family resilience

was associated with better mental health, particularly for children. Two nationwide surveys of

Table 4. Associations between COVID-19 impacts and maternal and child mental health outcomes.

Model 1 †

Model 2� Model 3�

β§ 95% CI p-value R2 β§ 95% CI p-value R2 β§ 95% CI p-value R2

Maternal mental health ‡

0.42

Mother/child self-quarantine 0.46 0.16 to 0.76 0.003 0.05 0.39 0.15 to 0.64 0.002 0.35 0.27 0.03 to 0.50 0.03

Mother lost job/income 0.09 -0.18 to 0.37 0.51 0.02 0.14 -0.08 to 0.36 0.22 0.33 -0.03 -0.24 to 0.19 0.82

Total financial hardship 0.27 0.14 to 0.40 <0.001 0.07 0.20 0.09 to 0.31 <0.001 0.36 0.14 0.04 to 0.25 0.009

Family stress 0.49 0.33 to 0.65 <0.001 0.13 0.37 0.23 to 0.50 <0.001 0.38 0.31 0.17 to 0.45 <0.001

Family resilience -0.40 -0.60 to -0.19 <0.001 0.07 -0.12 -0.30 to 0.06 0.20 0.33 -0.09 -0.26 to 0.081 0.28

Child mental health/wellbeing ‡

0.39

Mother/child self-quarantine 0.46 0.17 to 0.75 0.002 0.08 0.44 0.15 to 0.72 0.003 0.13 0.19 -0.05 to 0.43 0.12

Mother lost job/income 0.37 0.11 to 0.63 0.006 0.07 0.39 0.13 to 0.64 0.003 0.13 0.17 -0.05 to 0.40 0.13

Total financial hardship 0.05 -0.08 to 0.19 0.43 0.05 0.02 -0.11 to 0.15 0.81 0.10 -0.10 -0.21 to 0.01 0.08

Family stress 0.74 0.60 to 0.88 <0.001 0.31 0.70 0.57 to 0.85 <0.001 0.34 0.68 0.54 to 0.82 <0.001

Family resilience -0.46 -0.66 to -0.26 <0.001 0.11 -0.37 -0.57 to -0.16 0.001 0.14 -0.36 -0.53 to -0.18 <0.001

Models 1 and 2 examined each COVID-19 impact as individual exposures in separate regression models; Model 3 examined all COVID-19 impacts together in a single

model.

† Model 1 was adjusted for pre-COVID family income (paid employment vs benefit or pension), marital status (married/living with partner vs not), maternal education

(did not vs did complete high school or any further education); state at the time of COVID-19 data collection (Vic, Tas or Other); and randomisation status

(intervention vs control).

� Models 2 and 3 were adjusted for all of the above, and pre-COVID-19 maternal mental health. ‡

Outcome measures are rescaled to z-scores (mean 0, SD 1) to assist interpretation. §

Regression coefficients (β) are standardised coefficients, comparable to effect sizes.

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Australian families reported similar findings. Both the National Child Health Poll and the

COVID-19 Pandemic Adjustment Survey found parents reported experiences of strengthened

family relationships, constructive communication, spending more positive time together and

feeling more connected with their children [6, 44].

The strengths of this study are the unique, prospective cohort of mothers with young chil-

dren, who were recruited during pregnancy for their experience of adversity. Through the

recruitment and retention processes of the trial, we have retained a cohort with experiences of

adversity that are traditionally not well represented in longitudinal studies [45]. Even in the

year prior to the COVID-19 pandemic, 5 to 6 years after recruitment, high proportions of this

cohort were not in paid employment, reported low income and poor mental health. As this

study was embedded in an established longitudinal study, we were able to quickly harness the

opportunity to assess families’ experiences during the height of the first lockdown and

throughout the first 10 months of COVID-19 in Australia. We also had comprehensive pre-

pandemic data to draw on, to account for family circumstances and mental health before the

pandemic had emerged.

The study also has limitations. Despite the advantages of using an existing cohort, it was

not designed a priori for assessing the impacts of the COVID-19 pandemic. The study includes a cohort of participants who were already engaged in a randomised trial of nurse home visiting

and who had met the initial screening and inclusion criteria of the trial. Given that the families

in this cohort have remained engaged in a longitudinal research project for a sustained period

of 5 to 6 years, it is likely that the findings under-represent some of the families who were most

socially vulnerable prior to and over the course of the pandemic. Hence the findings we

describe may understate the full impact of the pandemic on families we couldn’t represent,

such as mothers without literacy in English who did not meet the eligibility criteria of the trial

or those experiencing high levels of adversity who were lost to follow-up over the course of the

trial. We also relied on maternal report for the family experiences and maternal and child

mental health outcomes. These measures were necessarily maternal report, as mothers can

provide valuable information about their families’ experiences of the COVID-19 pandemic, as

well as their young child’s mental health. Maternal mental health is also an important determi-

nant of child outcomes [46, 47]. However, mothers who experienced the pandemic as stressful,

or those with poorer mental health, may be more likely to report more negative experiences

and rate their child’s mental health poorly [46]. To address this, analyses took account of self-

reported maternal mental health data collected prior to substantial COVID-19 occurrence in

Australia. Comparison between the models which did not (Model 1) and did (Model 2)

account for prior maternal mental health showed that the findings and interpretation of results

were not substantively changed, suggesting that the associations between COVID-19 impacts

and mental health outcomes were somewhat independent from mothers’ prior mental health.

Australian families clearly found the challenges of lockdown and the related changes in

work-family life stressful, with flow-on effects for both parent and child mental health. Closure

of schools and transitioning to at-home learning appears to be a key contributor to this. Stud-

ies from past instances of school closures suggest these actions disproportionately impact fami-

lies experiencing adversity, by removing access to additional services provided at schools while

increasing stress on primary caregivers [48]. As Australia (and countries globally) emerge

from lockdown and the pandemic, the disproportionate burden on women and children

already living in adversity will need to be addressed with similarly disproportionate service sys-

tem and economic policy responses. Promisingly, findings of this and existing studies show

that family resilience such as finding ways of coping together and supporting others were asso-

ciated with better mental health; this suggests that there are opportunities to build positive

community support into the recovery processes. Future research would benefit from

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examining the pre-pandemic factors which might be associated with family resilience, to iden-

tify opportunities for supporting families both in recovering from the pandemic and in

redressing inequities in parent and child mental health.

Conclusions

The financial and social impacts of Australia’s public health restrictions have substantially

affected families experiencing adversity, and their mental health. This cohort of mothers and

children were already at disproportionate risk of poor mental health prior to the pandemic,

with now potentially worsening inequities as we have seen globally; even without the impact of

the virus itself. Unless the financial and social consequences of lockdown are addressed, the

inequities arising from adversity are likely to be exacerbated by this crisis. To recover from

COVID-19, the economic and healthcare needs of women and children living in adversity

must be prioritised. Policy investment in income support and universal and equitable access to

family health services are critical.

Supporting information

S1 Table. Summary data of COVID-19 impacts (individual items and summary measures)

and mental health outcomes, broken down by state and date of assessment.

(DOCX)

Acknowledgments

The “right@home” sustained nurse home visiting trial is a research collaboration between the

Australian Research Alliance for Children and Youth (ARACY); the Translational Research

and Social Innovation (TReSI) Group at Western Sydney University; and the Centre for Com-

munity Child Health (CCCH), which is a department of The Royal Children’s Hospital and a

research group of Murdoch Children’s Research Institute. We thank all families, the research-

ers, nurses and social care practitioners working on the right@home trial, the antenatal clinic

staff at participating hospitals who helped facilitate the research, and the Expert Reference

Group for their guidance in designing the trial.

Author Contributions

Conceptualization: Hannah Bryson, Fiona Mensah, Anna Price, Lisa Gold, Penelope Dakin,

Tracey Bruce, Lynn Kemp, Sharon Goldfeld.

Data curation: Hannah Bryson, Bridget Kenny.

Formal analysis: Hannah Bryson, Fiona Mensah.

Funding acquisition: Anna Price, Penelope Dakin, Sharon Goldfeld.

Investigation: Hannah Bryson, Bridget Kenny.

Methodology: Hannah Bryson, Fiona Mensah, Anna Price, Lisa Gold, Shalika Bohingamu

Mudiyanselage, Penelope Dakin, Tracey Bruce, Kristy Noble, Lynn Kemp, Sharon

Goldfeld.

Project administration: Hannah Bryson, Bridget Kenny, Sharon Goldfeld.

Supervision: Sharon Goldfeld.

Writing – original draft: Hannah Bryson, Fiona Mensah, Anna Price, Lisa Gold, Shalika

Bohingamu Mudiyanselage, Bridget Kenny.

PLOS ONE Impacts of COVID-19 and mental health for mothers and children experiencing adversity in Australia

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Writing – review & editing: Hannah Bryson, Fiona Mensah, Anna Price, Lisa Gold, Shalika

Bohingamu Mudiyanselage, Bridget Kenny, Penelope Dakin, Tracey Bruce, Kristy Noble,

Lynn Kemp, Sharon Goldfeld.

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