Abstract
Background
The Covid-19 pandemic had a strong impact on mental health in the general population. This study conducted during the first lockdown in France considered parents of children with Autism Spectrum Disorder (ASD) prospectively followed in the ELENA Cohort.
Objectives
We aimed to (1) compare the Anxiety and Depression (AaD) levels during the lockdown between mothers and fathers, (2) compare the parent's AaD between the lockdown and the last ELENA follow-up visit, and (3) identify risk factors for parental AaD during lockdown among socio-demographic and children's clinical characteristics.
Methods
The Hospital Anxiety and Depression Scale (HADS) was used to assess AaD in 134 parent's pairs. Parents also completed the Questionnaire about their living conditions during COVID-19, their child's interventions and perceived changes about their child's behaviors and sleep. Child's ASD severity, intellectual and socio-adaptive skills and parent's socio-demographic characteristics were collected from ELENA follow-up.
Results
The parents' AaD levels were lower during the lockdown compared to the last ELENA visit that coincided in 96% with the child's ASD diagnosis. The AaD levels were more pronounced in mothers and significantly associated with the child's challenging behaviors, parents' teleworking and perceived knowledge about COVID-19. The perception of an insufficient knowledge was the only risk factor for mothers' AaD.
Conclusion
Our findings highlighted the pertinence for an assessment of the mental health of main caregivers of children with ASD, consideration of their gender characteristics, and the importance of providing relevant information during pandemic. Future studies examining the pandemic long-term effects are needed.
Trial registration number
Keywords: Anxiety, Depression, Parents, Autism spectrum disorder, COVID-19
1. Introduction
The coronavirus disease 2019 (COVID-19), first detected in December 2019 in Wuhan, China, spread rapidly across the globe (Adam, 2020). By March 2020, the World Health Organization acknowledged that Europe had become the epicenter of the pandemic. Facing a surge in case numbers, the French government introduced national containment and mitigation measures mandating the closure of schools, universities and all public venues. The impact of such unprecedented restrictions to limit the spread of COVID-19 had an important psychological impact on everyday public life (Brooks et al., 2020; Dubey et al., 2020). Initial reports emphasized the psychological effects of the pandemic on frontline healthcare workers, with increasing recognition of the more extensive psychological impact of mass quarantine on other vulnerable populations. In France, anxiety symptoms were reported in 26.7% of the general population a week following the beginning of the first lockdown, twice the average rate previously observed in the general population (Chan-Chee et al., 2020).
Prior to the onset of the COVID-19 emergency, several factors were already known to be associated with the increased psychological burden of large-scale disease epidemics, notably being single, female, aged 16–24 years, having a low educational level, and financial hardship (Blendon et al., 2004; Brooks et al., 2020; Chan-Chee et al., 2020; Hyland et al., 2020; Liu et al., 2012; Mohammed et al., 2015). Protective factors included being male, being employed, living with a partner, having a high educational level, and favorable living conditions, e.g., larger living area and access to outdoors (Haesebaert et al., 2020; Webster et al., 2020). Although public health measures understandably focused on case fatality rates, especially among the elderly and those with pre-existing medical conditions, a handful of studies began to emphasize the substantial emotional toll of the containment measures, especially for parents living with children below 10-years during the COVID-19 lockdown (Haesebaert et al., 2020).
Past studies have consistently reported that parents of children with neurodevelopmental disorders show higher levels of distress, especially anxiety and depression (AaD) compared to controls (Barker et al., 2011; Olsson and Hwang, 2008). Based on evaluation of AaD among parents of children with autism spectrum disorder (ASD) using the standardized Hospital Anxiety and Depression Scale (HADS) (Snaith, 2003), show that they are more likely to report AaD compared to parents of typically developing children or children with other neurodevelopmental disorders (Almansour et al., 2013; Hamlyn-Wright et al., 2007), with the period of initial diagnosis of ASD being especially emotionally challenging and stressful (Lerthattasilp et al., 2015). Women regularly report higher rates of AaD than men in the general population (Bekker and van Mens-Verhulst, 2007; Kuehner, 2003; McLean et al., 2011; Van de Velde et al., 2010) and not surprisingly past studies have also noted that mothers of children with neurodevelopmental disorders express lower levels of wellbeing (Olsson and Hwang, 2008) and higher levels of depression than fathers (Singer, 2006). Furthermore, mothers of children with ASD consistently report higher levels of stress and AaD than the fathers (Davis and Carter, 2008; Jones et al., 2013) and a significant positive link with maternal AaD was recently reported (Öz et al., 2020). Several studies have found that the severity of the children's behavioral problems is related to higher levels of AaD among mothers (Barker et al., 2011; Bitsika and Sharpley, 2004; Wiggins et al., 2019). Jones et al. (2013) suggested that behavioral problems and adaptive deficits in children with ASD are more strongly associated with anxiety in their mothers than in their fathers. The literature has also highlighted an association between the children's physiological behaviors, such as sleep, and ASD behavioral severity (Türkoğlu et al., 2020) and parental depressive symptoms (Meltzer, 2011).
In terms of the impact of the pandemic in France, a survey showed that 38% of caregivers of children with ASD perceived the COVID-19 containment measures to be challenging (Centre de Ressources Autisme, 2020). Researchers recently reported an increase in challenging behaviors in children with ASD during the lockdown, particularly among younger children (Berard et al., 2021), suggesting a negative impact of the COVID-19 pandemic on the mental health of children with ASD and their parents (Guller et al., 2021).
The first objective of the present study was to compare the levels of AaD between mothers and fathers caring for children with ASD during the first COVID-19 lockdown in France. Based on the existing literature, we therefore hypothesized that the levels of AaD of the mothers would be higher. A second objective was to compare the AaD levels between the lockdown and the last ELENA follow-up visit. The third objective was to identify risk factors for parental AaD during the lockdown among socio-demographic and clinical characteristics of children with ASD.
2. Methods
2.1. Study design
The present study consisted of a cross-sectional parent survey carried out between April 27 and May 13, 2020, during the first COVID-19 lockdown in France (to facilitate the reading, the terms “first COVID-19 lockdown” and “lockdown” are used as synonyms in this paper). The study nested among families enrolled in the ELENA cohort (Baghdadli et al., 2019), a prospective multicenter study including 892 children with confirmed diagnosis of ASD. The data collected cover clinical, medical, social, and environmental variables collected at inclusion, and after 18, 36 and 72 months.
2.2. Data collection
For the present study, a letter was sent to the parents via the ELENA database electronic system to invite them to participate in the online ELENA-COVID-19 study. A reminder was sent to parents two weeks later by e-mail or by telephone for those who did not have access to the internet. Approximately 30 questionnaires were administered by telephone by a clinical research assistant.
2.3. Participants
Participants were parents of children with a confirmed diagnosis of ASD followed in the ELENA Cohort who both completed the HADS during the lockdown. The number of participants differed for each of the three objectives of the study based on the completed questionnaires (Fig. 1 ).
Fig. 1.
Flow chart of participants.
For the first objective, the sample included 134 pairs of parents who completed the HADS during the lockdown. For the second objective, the sample covered 94 mothers and 79 fathers who completed the HADS during the lockdown and before the pandemic (data collected from the last visit in the ELENA follow-up from April 2015 to March 2020). For the third objective, the sample included only 94 mothers who simultaneously completed the HADS and COVID-19 Questionnaire during the lockdown; the 10 fathers who completed the questionnaires were not included in this analysis.
The online ELENA-COVID-19 study was approved by the Internal Review Board of the University Hospital of Montpellier (IRB-MTP_2020_04_202000453).
2.4. Variables
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1.
Parents' variables
Data collected prior the lockdown, from the last ELENA follow-up visit (Baghdadli et al., 2019), were parental socio-demographic characteristics and the last HADS completed. The HADS was collected for 96% of the parents at the time of the inclusion in ELENA cohort (itself determined by the diagnosis of ASD to parents) and for 4% at another time but prior to epidemic. We also collected data during the lockdown: the COVID-19 Questionnaire developed by the authors and the HADS.
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2.
Children's variables
We used data collected prior the lockdown from the last ELENA follow-up visit: ADOS-2 CSS, best-estimate intellectual level and VABS-II scores, and behavioral data from the COVID-19 Questionnaire completed by parents during the lockdown.
2.5. Measures
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1.
COVID-19 Questionnaire
Parents completed a structured online questionnaire constructed by the authors to collect data during lockdown and were asked to complete only one COVID-19 Questionnaire per child. The questionnaire consisted of the following four sections: (i) family environment: area of the living space of the house and household composition; (ii) parental professional activity: loss or reduction of employment and teleworking for the responder and his/her spouse; (iii) information on COVID-19 and containment measures; and (iv) child's status: health, need for care (related or not to COVID-19), and special education. Parents were also asked to rate the child's challenging behaviors and sleep as “unchanged”, “improved”, or “worsened” during the lockdown.
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2.
The Hospital Anxiety and Depression Scale (HADS)
The HADS (Zigmond and Snaith, 1983) was used to assess the AaD of the parents. This reliable tool has been widely used in community and primary care practice settings, but also in studies of parents of children with ASD (Almansour et al., 2013; Guller et al., 2021; Hamlyn-Wright et al., 2007; Lanyi et al., 2021; Reed et al., 2016). Both mothers and fathers were invited to self-rate the 14 items of the French-version (Lepine et al., 1985), including seven items about depression and seven about anxiety. The overall score and two sub-scores from the anxiety and depression subscales were determined. The thresholds for the sub-scores were: 0 to 7, absence of anxiety or depression; 8 to 10, suspected anxiety or depression; and 11 to 21, significant level of anxiety or depression. The thresholds for the combined scores were: 0 to 14, no anxiety/depression, and 15 to 42, presence of a significant level of combined anxiety + depression.
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3.
Socio-demographic variables
The parents’ age and education levels were extracted from the ELENA socio-demographic report.
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4.
Children's clinical characteristics
Children clinical characteristics were collected from the ELENA last follow-up visit. Symptoms severity was measured using the Calibrated Severity Score (CSS) of Autism Diagnosis Observation Schedule-2 (ADOS-2) (Gotham et al., 2007; Hus et al., 2014; Hus and Lord, 2014; Lord et al., 2012). The intellectual level was estimated for each child using age-appropriate tests to take into account the variability of skills among children by age (Howlin et al., 2014). A performance IQ was calculated if a standardized test could be administered (Wechsler scales (Wechsler, 2002, 2003, 2014a, b) or K-ABC II (Kaufman and Kaufman, 2013)). A developmental age was estimated from developmental scales if the child could not understand the test instructions (Brunet Lézine-Revised (Brunet et al., 1997) or PEP-3 (Schopler et al., 2004)) and a developmental quotient was calculated according to Stern's formula (Stern, 1912) by dividing the developmental age score by the chronological age x 100. The adaptive skills were assessed with the Vineland Adaptive Behavior Scale, Second Edition (VABS-II) (Sparrow et al., 2005).
2.6. Statistical analyses
The outcome variable was the mothers' AaD levels during the lockdown. The following potential explanatory variables from the following sources were considered for the analysis: 1) the ELENA cohort: latest data collected concerning the child's CSS, VABS-II standard scores, and intellectual level and 2) the ELENA-COVID-19 Questionnaire: child's age during the lockdown, number of children living at home, number of outings, continuation of care during the lockdown, number of rooms in the house and the number of household inhabitants, single-parent family during the lockdown, parents' educational levels, parents' employment/loss of income during the lockdown, teleworking, parental perceived knowledge about COVID-19, and the perception of changes in their child's behaviors.
The mean and standard deviation (SD) are reported for continuous variables and the frequency for categorical variables. Paired sample t-tests were used to compare: 1) HADS scores between the mothers and fathers during the lockdown and 2) the mothers' and fathers' HADS scores between the lockdown and the last ELENA follow-up visit. The association between potential explanatory factors and the mothers' AaD levels observed during the lockdown was studied using Pearson chi-square or Fisher exact tests for the categorical variables and Student's t-tests or Wilcoxon rank-sum tests for continuous variables.
Due to the sample size, AaD risk factors were explored only for mothers by multivariate logistic regression. Variables with a p-value < 0.20 in univariate analysis were included in the model and backward selection was used to select the model that minimized the Akaike Information Criterion (AIC). The multivariate model was adjusted for the time since the diagnosis. Odds ratios (OR) with 95% confidence intervals are presented. The goodness-of-fit of the models was assessed using the Hosmer and Lemeshow test. All statistical tests were considered significant for p < 0 .05. Statistical analyses were performed using SAS Enterprise Guide V7.13 (SAS Institute Inc., Cary, NC, USA).
3. Results
3.1. Descriptive data
3.1.1. Parents’ characteristics
The mean age was 41.1 years (±6.8) for the mothers and 44.2 years (±7.8) for the fathers. Overall, 60.2% (n = 74) of the mothers had a college/university education vs. 52.0% (n = 64) of the fathers. The parents’ characteristics were comparable between the samples of the ELENA-COVID-19 study and the ELENA cohort for age, educational level, and socio-economic status.
3.1.2. Children's characteristics
The mean age of the children was 8.6 years (±4.0). There were 82.1% boys (n = 110). Overall, 40.2% of the children (n = 51) had an IQ < 70. The mean ADOS CSS-severity score was 7.34 (±1.7). The mean VABS-II scores were 70.8 (±15.3) for communication, 71.9 (±13.0) for daily living skills, and 69.2 (±12.9) for socialization. The children's characteristics were comparable between the samples of the ELENA-COVID-19 study and the ELENA cohort.
3.1.3. Socio-demographic characteristics during the lockdown
During the COVID-19 lockdown, interventions from special education and care services were maintained for 72.0% (n = 95) of the children, interrupted for 23.5% (n = 31), and 4.5% (n = 6) of the children had no specialized interventions just before the lockdown. Other socio-demographic characteristics during the lockdown are presented in Table 1 .
Table 1.
Socio-demographic characteristics during the lockdown.
| Mothers | Fathers | |
|---|---|---|
| Parental characteristics | ||
| Age (years) | N = 134 | N = 134 |
| 41.10 (±6.76) | 44.22 (±7.84) | |
| Educational level | N = 123 | N = 123 |
| Elementary | . | 3 (2.44%) |
| High school | 49 (39.84%) | 56 (45.53%) |
| College/University | 74 (60.16%) | 64 (52.03%) |
| Environmental characteristics | ||
| Parent living alone during containment | N = 129 | N = 96 |
| No | 114 (88.37%) | 91 (97.79%) |
| Yes | 15 (11.63%) | 5 (5.21%) |
| Number of children | N = 129 | N = 129 |
| 2.01 (±0.92) | 2.03 (±0.91) | |
| Adequacy between room number and inhabitants: | N = 129 | N = 96 |
| Room number < inhabitants | 23 (17.83%) | 20 (20.83%) |
| Rooms number ≥ inhabitants | 106 (82.17%) | 76 (79.17%) |
| Access to outdoors | N = 129 | N = 96 |
| No | 8 (6.20%) | 7 (7.29%) |
| Yes | 121 (93.80%) | 89 (92.71%) |
| Going out during the lockdown with the child | N = 128 | N = 96 |
| No | 34 (26.56%) | 27 (28.13%) |
| Yes | 94 (73.44%) | 69 (71.88%) |
| Perceived knowledge about COVID-19 | N = 128 | N = 96 |
| Highly insufficient or insufficient | 32 (25.00%) | 27 (28.13%) |
| Good | 66 (51.56%) | 44 (45.83%) |
| Very good | 30 (23.44%) | 25 (26.04%) |
| Professional situation | ||
| Professional situation | N = 115 | N = 80 |
| Working | 73 (63.48%) | 73 (91.25%) |
| Continuity of activities | 19 (31.15%) | 26 (42.62%) |
| Complete shutdown of activity | 11 (18.03%) | 10 (16.39%) |
| Partial technical unemployment | 5 (8.20%) | 6 (9.84%) |
| Full technical unemployment | 3 (4.92%) | 3 (4.92%) |
| Telework | 23 (37.70%) | 16 (26.23%) |
| Retired | . | 2 (2.50%) |
| Job search | 5 (4.35%) | 3 (3.75%) |
| At home | 37 (32.17%) | 2 (2.50%) |
| Spouse's professional situation | N = 115 | N = 83 |
| Working | 93 (80.87%) | 56 (67.47%) |
| Continuation of activities | 33 (42.31%) | 12 (27.27%) |
| Complete shutdown of activity | 12 (15.38%) | 10 (22.73%) |
| Partial technical unemployment | 8 (10.26%) | 6 (13.64%) |
| Full technical unemployment | 5 (6.41%) | 3 (6.82%) |
| Telework | 20 (25.64%) | 13 (29.54%) |
| Retired | 2 (1.74%) | . |
| In search of employment | 6 (5.22%) | 3 (3.61%) |
| At home | 2 (1.74%) | 23 (27.71%) |
| Not concerned | 12 (10.43%) | 1 (1.20%) |
| At least one adult at home working | N = 128 | N = 96 |
| No | 11 (8.59%) | 6 (6.25%) |
| Yes | 117 (91.41%) | 90 (93.75%) |
| At least one adult at home teleworking | N = 128 | N = 96 |
| No | 87 (67.97%) | 66 (68.75%) |
| Yes | 41 (32.03%) | 30 (31.25%) |
| Loss of income during containment | N = 128 | N = 96 |
| No | 78 (60.94%) | 52 (54.17%) |
| Yes | 50 (39.06%) | 44 (45.83%) |
Data are presented as the mean (SD) or N (%).
3.1.4. Mothers' perception of changes in their children's behavior during the lockdown
In terms of their children's sleep, 60.2% of the mothers (n = 56) described it as unchanged, 32.3% (n = 30) as worsened, and 7.5% (n = 7) as improved. In terms of their children's challenging behaviors, 32.3% of the mothers (n = 30) described them as unchanged, 50.5% (n = 47) as worsened, and 17.2% (n = 16) as improved. One mother did not answer the question.
3.2. Comparative analysis
Objective 1: Comparison of AaD levels between mothers and fathers (n = 134 pairs) caring for children with ASD during the lockdown.
Based on paired comparisons (Fig. 2 ), during lockdown, the HADS scores were significantly higher for the mothers than fathers for anxiety (mean difference = 2.0 (±4.6), p < 0.001), depression (mean difference = 0.9 (±4.7), p = 0.01), and anxiety + depression combined (mean difference = 3.0 (±8.0), p < 0.001). The same significant differences were found during the period coinciding with the announcement of the diagnosis (data not shown).
Fig. 2.
Paired comparison of AaD levels between mothers and fathers (n = 134 pairs) caring for children with ASD during the lockdown.
Objective 2: Comparison of parent's AaD levels (mothers, n = 94; fathers, n = 79) between the lockdown and the last ELENA follow-up visit.
Paired comparisons of the HADS scores of the mothers (Fig. 3 ) showed them to be lower during the lockdown than from the last ELENA follow-up visit for anxiety (mean difference = −2.5 (±3.8), p < 0.001), depression (mean difference = −1.5 (±3.9), p < 0.001), and anxiety + depression combined (mean difference = −4.0 (±6.8), p < 0.001).
Fig. 3.
Paired comparison of parents' AaD levels between lockdown and the last ELENA follow-up visit. (a) Mother's HADS scores (n = 94). (b) Father's HADS scores (n = 79).
The fathers (Fig. 3) HADS scores were significantly lower during the lockdown than from the last ELENA follow-up visit for anxiety (mean difference = −2.3 (±4.1), p < 0.001) and anxiety + depression combined (mean difference = −3.0 (±7.8), p = 0.001), but were not significantly different for depression (mean difference = −0.7 (±4.6), p = 0.16).
Objective 3: Identification of the risk factors for mothers’ AaD (n = 94) during the lockdown.
3.2.1. Univariate analysis
Among the 94 mothers who simultaneously completed both the COVID-19 Questionnaire and HADS, 39.4% (n = 37) showed combined anxiety + depression. More mothers with combined anxiety + depression reported worsening of their child's challenging behaviors than those without (66.7% vs. 40.4%, p = 0.02). Telework was less common in families of mothers with combined anxiety + depression than in those of mothers without (19.4% vs. 40.4%, p = 0.04). In addition, 41.7% (n = 15) of mothers with combined anxiety + depression rated their perceived knowledge about COVID-19 as highly insufficient or insufficient versus 14.0% (n = 8) of the other mothers (p = 0.01).
The child's IQ and sleep tended to be significantly associated with the mothers' combined anxiety + depression (p = 0.08 and p = 0.14, respectively). Mothers with combined anxiety + depression more often had children with an IQ < 70 and impaired sleep than those without.
Other clinical characteristics of the children (age, sex, ADOS CCS-severity, and VABS-II scores), their interventions, and the parents' age or education level were not significantly associated with the mothers’ HADS scores.
3.2.2. Multivariate analysis
Multivariate analysis showed that mothers who rated their perceived knowledge about COVID-19 as highly insufficient or insufficient compared to those who rated it as good had a significantly higher risk of having anxiety + depression combined [ORa = 4.58 (95%CI = 1.58–13.26), p = 0.01] (Table 2 ).
Table 2.
Risk factors for mothers’ AaD (n = 94).
| N | Crude OR |
Adjusted ORa |
|||||
|---|---|---|---|---|---|---|---|
| OR | 95%CI | Pvalue | OR | 95%CI | P value | ||
| VABS-II Communication score | |||||||
| (units = 10) | 92 | 0.79 | [0.61–1.04] | 0.09 | |||
| Challenging behaviors | |||||||
| Improved vs unchanged | 1.49 | [0.39–5.78] | 0.56 | ||||
| Worsened vs unchanged | 93 | 3.43 | [1.24–9.52] | 0.02 | |||
| Sleep | |||||||
| Improved vs unchanged | 0.85 | [0.15–4.78] | 0.85 | ||||
| Worsened vs unchanged | 93 | 2.41 | [0.97–6.00] | 0.06 | |||
| Perceived knowledge about COVID-19 | |||||||
| Very good vs good | 1.13 | [0.38–3.38] | 0.23 | 1.12 | [0.38–3.36] | 0.23 | |
| Insufficient or highly insufficient vs good | 93 | 4.55 | [1.58–13.14] | 0.01 | 4.58 | [1.58–13.26] | 0.01 |
| At least one adult teleworking | |||||||
| Yes vs no | 93 | 0.36 | [0.13–0.95] | 0.04 | |||
| Best-estimate IQ | 90 | ||||||
| <70 vs ≥ 70 | 2.18 | [0.91–5.19] | 0.08 | ||||
Adjusted for the time since diagnosis.
4. Discussion
This is one of the first studies to specifically investigate AaD levels of parents of children with a confirmed ASD diagnosis during the lockdown of the COVID-19 pandemic. The AaD levels were assessed using standardized measures in a relatively large sample of parents.
In terms of the first study objective, to compare levels of AaD during the lockdown between mothers and fathers of the same child, our results showed the AaD levels to be higher for mothers than fathers, consistent with our hypothesis and results of previous research (Davis and Carter, 2008; Jones et al., 2013). Of note, women in the general population also report higher levels of AaD than men (Bekker and van Mens-Verhulst, 2007; McLean et al., 2011; Van de Velde et al., 2010). Among parents with a child with ASD, the difference between genders may also be related to differences in coping strategies (Luque Salas et al., 2017; Vernhet et al., 2019). Another interpretation is that mothers are more often the caregivers who are more highly involved in the daily care of the child, which may influence their AaD levels (McStay et al., 2014).
For the second study objective, to compare AaD levels reported by parents during lockdown and the last ELENA follow-up visit, we assumed that the parents' AaD levels might be higher during the lockdown than assessments prior to the COVID-19 onset, as observed in the general population (Chan-Chee et al., 2020). As parents' AaD levels were not assessed just prior to the pandemic, interpretation of its effects on their mental health must be cautious. Actually, our findings suggest, that the measures of parents' AaD levels from the last follow-up visit were higher than during the COVID-19 lockdown. One possible explanation is that completion of the HADS prior to the pandemic coincided, in 96% of cases, with the time of inception into the cohort and communication of the children's diagnosis, which is a stressful period for the parents (Lerthattasilp et al., 2015). Another possible explanation is that the parents who agreed to participate in the ELENA-COVID-19 survey were those whose emotions were better preserved. Although it may be intriguing that the prevalence of depression was lower in our sample than in the general population over the same period (approximately 10% of fathers and mothers vs 19% of the general population), another interpretation may be that the parents of children with ASD have better coping skills, acquired through their caregiver status, that they mobilized during the pandemic (Zhao and Fu, 2020). A further explanation may be that the containment measures may have had a positive impact on families with ASD, who were in close proximity to their children and no longer exposed to stressful situations in their daily life related to recurrent transportation to children's interventions.
For our third objective, to identify risk factors for parental AaD during the COVID-19 lockdown, the limited sample size restricted us to study risk factors only among the mothers. According to univariate analysis, the children's challenging behaviors, teleworking by the parents, and mothers' perceived knowledge about COVID-19 were significantly associated with the mothers' AaD levels. The role of the worsening of children's behaviors on the AaD of mothers, and their mental health has been previously reported in the literature (Baghdadli et al., 2014; Barker et al., 2011; Jones et al., 2013). We may also supposed that mothers with high levels of AaD have more difficulty in coping with their children's behaviors that they may perceive as worsened. A recent study about lockdown measures showed that teleworkers experienced lower well-being during lockdown than workers who remained in their usual office, with this perception being stronger among women (Escudero-Castillo et al., 2021). In contrast, our results suggest that parents' teleworking was associated with lower AaD levels in mothers. Since teleworking was widespread in France during the first lockdown, it can be assumed that mothers may perceived the benefits of the presence of their partner in daily life. Lockdown measures seem to reduce the organizational constraints around managing, for example, the child's accompaniments to therapies and so may have improved mother's sense of wellbeing. Furthermore, we found the mothers' AaD during lockdown was not associated with the child's socio-demographic or clinical characteristics, family living conditions, or continuity of care. In our sample, there was a trend towards an association between the level of AaD of the mothers and their child's intellectual level and sleep. This is consistent with the literature, which has shown that mothers who have a child with an intellectual disability have higher levels of AaD (Sheikh et al., 2018) and lower well-being (Olsson and Hwang, 2008). In addition, mothers who have reported significant levels of AaD have more often had children who sleep poorly (Meltzer, 2011; Waddington et al., 2020).
The only risk factor for AaD among mothers identified from our multivariate analyses was their perceived lack of knowledge about COVID-19. This result is in accordance with those of previous reports showing that adequate knowledge about the disease during pandemics is associated with better adherence to containment measures and a greater sense of well-being (Webster et al., 2020). In our study, good perceived knowledge about COVID-19 was not significantly linked to an increased risk of AaD for mothers, in contrast to previous findings, suggesting that recurrent and excessive information about a disease may have a negative impact on anxiety levels (Everts, 2013; Roy et al., 2020). We suppose that parents with higher AaD levels, having stronger feeling of helplessness and vulnerability, perceived that they had less knowledge than parents with lower AaD. Finally, we assume that the AaD of the parents could be also related to factors that were not taken into account in our study, such as parental coping strategies that need to be studied.
4.1. Strengths and limitations
The use of the HADS was a strength of our study in that it provided a structured, acceptable, and effective dimensional assessment of AaD (Snaith, 2003), in parents having a child with ASD (Almansour et al., 2013; Guller et al., 2021; Hamlyn-Wright et al., 2007; Lanyi et al., 2021; Reed et al., 2016). An important strength related to the relatively large sample of children with a confirmed and well-phenotyped ASD enrolled in an established cohort. In addition, this study is one of the first to assess AaD in both mothers and fathers with a child with ASD during a COVID-19 pandemic lockdown.
However, our findings must be interpreted in the context of a number of limitations. First, only 27% of the families enrolled in the ELENA cohort participated in the ELENA-COVID-19 study, which may have introduced a response bias. We presume that the low response rate to the survey may have been related to the short completion lead period (15 days) and the need to assess AaD levels in real time especially in a context in which parents were less available due to school closures. One possible limitation of comparing AaD levels over time is that, parents' AaD levels were not assessed shortly before the pandemic, which may influence understanding of the real effects of the pandemic on parents' mental health. Another limitation was that the risk factors were analyzed only for mothers because of the lack of data for fathers. We did not use clinical interviews to assess parents' mental health, which should be proposed in future studies and, as the clinical analysis would be finer, it may probably lead to higher AaD rates. Finally, as the children's behaviors during lockdown were assessed by the parental questionnaires, we assume that parents' emotional states may have influenced their perception of children's behaviors.
4.2. Conclusion and implication
This study suggests that AaD levels during the lockdown in France were higher in mothers than in fathers of children with ASD, as found in the general population, and in previous studies in parents of children with ASD. Our results also suggest that parents' AaD levels were lower during the COVID-19 lockdown than before the outbreak, a time that coincides in the present study with families' inclusion in the ELENA cohort and communication of the ASD diagnosis to parents. In addition, positive associations were found between mothers’ AaD and their perception of worsening child challenging behaviors, indicating the importance to prevent behavioral difficulties through parents training and supervision. The association between parental teleworking during lockdown and lower AaD in mothers may be the result of sharing the daily activities with the partner. The only significant risk factor for AaD found in mothers was their perceived knowledge about COVID-19, which is an additional argument to facilitate for caregivers access to updated and relevant information. This study leads to consider the mental health of caregivers of children with ASD (in our study, mainly mothers), through information, training and long-term support. Our study conducted at the beginning of the pandemic, could be extended by long-term studies of the effects of the pandemic on the mental health of parents.
Funding
Grant sponsor 1: French Health Ministry (DGOS) PHRCN 2013; Grant number 1: 13-0232, and Grant sponsor 2: Caisse Nationale de Solidarité pour l’Autonomie (CNSA); Grant number 2: 030319.
Availability of data and material
Research data are not shared due to the need for confidentiality. The corresponding author, Pr Amaria Baghdadli, confirm that she had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Ethical approval
The study and informed consent procedure have been approved by the Internal Review Board of University Hospital of Montpellier. The ELENA cohort has been approved by the South Mediterranean Ethics Committee on the Research of Human Subjects of Marseille and the National Commission for Computing and Liberties (CNIL. number DR-2015-393).
Informed consent
Signed informed consent is obtained from all participating families included in the ELENA cohort.
Declaration of competing interest
The authors have no conflicts of interest to declare.
Acknowledgments
We sincerely thank the contributing families, the ELENA cohort staff (F. Dellapiazza, L. Audras-Torrent, M. Berard, C. Rattaz, C. Michelon, and L. Ferrando), and the centers participating in recruitment. We also express gratitude to the CNSA and DGOS for funding the ELENA Cohort.
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Associated Data
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Data Availability Statement
Research data are not shared due to the need for confidentiality. The corresponding author, Pr Amaria Baghdadli, confirm that she had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.



