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1 Predictors of psychological morbidity in parents of children with intellectual disability. Gallagher, S., Phillips, A. C., Oliver, C. and Carroll, D. Cerebra Centre for Neurodevelopmental Disorders, School of Psychology, University of Birmingham Please use this reference when citing this work: Gallagher, S., Phillips, A. C., Oliver, C. and Carroll, D. (2008). Predictors of psychological morbidity in parents of children with intellectual disability. Journal of Pediatric Psychology, 33, 1129-1136. (DOI: 10.1093/jpepsy/jsn040) The Cerebra Centre for Neurodevelopmental Disorders, School of Psychology, University of Birmingham, Edgbaston, Birmingham, B15 2TT Website: www.cndd.Bham.ac.uk E-mail: [email protected]

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Page 1: Gallagher, S., Phillips, A. C., Oliver, C. and Carroll, D.eprints.bham.ac.uk/1056/1/Gallagher_et_al_2008_Stress_in_parents... · 1 Predictors of psychological morbidity in parents

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Predictors of psychological morbidity in parents of

children with intellectual disability.

Gallagher, S., Phillips, A. C., Oliver, C. and Carroll, D.

Cerebra Centre for Neurodevelopmental Disorders,

School of Psychology,

University of Birmingham

Please use this reference when citing this work:

Gallagher, S., Phillips, A. C., Oliver, C. and Carroll, D. (2008). Predictors of

psychological morbidity in parents of children with intellectual disability. Journal of

Pediatric Psychology, 33, 1129-1136. (DOI: 10.1093/jpepsy/jsn040)

The Cerebra Centre for Neurodevelopmental Disorders, School of Psychology, University of Birmingham, Edgbaston, Birmingham, B15 2TT Website: www.cndd.Bham.ac.uk E-mail: [email protected]

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Abstract

Objective: This study investigated symptoms of depression and anxiety and their

origins in parents caring for intellectually disabled children relative to parents of

typically developing children.

Design: A cross-sectional case control study.

Methods: Thirty two parents of children with intellectual disabilities and twenty nine

parents of typically developing children completed measures of anxiety and

depression, social support , child problem behaviours, sleep quality and caregiver

burden.

Results: The parents of children with intellectual disabilities registered much higher

depression and anxiety scores on the Hospital Anxiety and Depression Scale and the

majority met the established criteria for possible clinical depression and/or anxiety. Of

the putative mediators measured, the strongest and most consistent predictor of group

differences in distress, as well as individual variations in distress within the group of

parents with intellectually disabled children, was caregiver burden. Analyses of its

component dimensions indicated that the negative psychosocial consequences of

caregiving were particularly predictive of depression, whereas guilt was the main

associate of anxiety.

Conclusions: Symptoms of depression and anxiety are highly prevalent in parents of

children with intellectual disabilities and different dimensions of caregiver burden

predicted depression and anxiety. This suggests that, in developing interventions for

this population, attention should be paid to the way in which parental distress presents

itself as depression, anxiety, or both, in the individual caregiver.

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Key words: Anxiety, caregiving, case control study, depression, parents of intellectual

disabled children

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Introduction

Parents of intellectually disabled children frequently report symptoms of

depression and anxiety (Dunn, Burbine, Bowers, & Tantleff-Dunn, 2001; Eisenhower,

Baker, & Blacher, 2005; Floyd & Gallagher, 1997; Hastings & Brown, 2002; Hastings

et al., 2005a; Hastings et al., 2005b; Piven & Palmer, 1999; Sharpley, Bitsika, &

Efremidis, 1997; Yirmiya & Shaked, 2005). In one UK study, for example, 59% of

parents caring for a child with autism had scores on the General Health Questionnaire

indicative of psychiatric caseness (Bromely, Hare, Davison, & Emerson, 2004). The

cost of such psychological morbidity to the immediate family can be enormous. Poor

parental mental health has been shown to have deleterious consequences for parenting

role, offspring wellbeing, and marital relationships (Dyson, Edgar, & Crnic, 1989;

Early Child Care Research Network, 1999; Fisman & Wolf, 1991; Kahn, Brant, &

Whitaker, 2004; Pilowsky, Wickramaratne, Nomura, & Weissman, 2006). Distressed

parents are more likely to separate and divorce (Pilowsky et al., 2006).

A number of factors have been considered to contribute to the high levels of

psychological morbidity in parents of intellectually disabled children. Two key

factors: the adequacy of social support and the extent of the child’s problem

behaviours have been argued to account for much of the distress observed. Social

support has long been regarded to mitigate distress (Bailey, Wolfe, & Wolfe, 1994;

Dunn et al., 2001) and considerable research has been directed at its role in parents

with an intellectually disabled child. Social support has generally been found to be

inversely related to depression and anxiety in such parents (e.g. Gray and Holden,

1992; Hare, Pratt, Burton, Bromely & Emerson, 2004; McCallion, Janicki, &

Kolomer, 2004; Weiss, 2002). The child's behavioural problems appear to be a major

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source of psychological distress in parents of children with intellectual disabilities

(Baker et al., 2003; Blacher & McIntrye, 2006; Floyd & Gallagher, 1997; Maes,

Broekman, Dosen, & Nauts, 2003). Higher scores on the Aberrant Behaviour

Checklist (Aman, Richmond, Stewart, Bell, & Kissel, 1987) subscales (e.g. lethargy,

stereotypical behaviour, and hyperactivity) was associated with greater distress in

these parents (Stores, Stores, Fellows, & Buckley, 1998). Further, the more

challenging the behaviours that a child exhibits, the greater the recourse to mental

health services by parents (Floyd & Gallagher, 1997).

Sleep quality and caregiver burden have been identified as significant predictors of

psychological distress in other caregivers (e.g. caregivers for Alzheimer’s sufferers,

and people with schizophrenia, and physically disabled children), but have rarely been

examined in the context of parents caring for intellectually disabled children.

However, one concern for parents of children with Downs syndrome was that they

were not getting enough sleep (Hedov, Anneren, & Wikblad, 2002). Sleep quality is

an important aspect of well-being and is strongly related to overall quality of life

(Zammit, Weiner, Damato, Sillup, & McMillan, 1999), secretion of the stress

hormone, cortisol (Spiegel, Leproult, & Van Cauter, 1999), and also to the increased

prevalence of depression and anxiety in various caregiver groups (Brummett et al.,

2006 ; Flaskerud, Carter & Lee, 2000; McCurry, Logsdon, Teri, & Vitiello, 2007;

Wilcox & King, 1999 ). For example, parents caring for a child with a physical

disability (cystic fibrosis and ventilator dependency) were characterized by both poor

sleep quality and depression (Meltzer & Mindell, 2006).

Another source of psychological distress in those caring for demanding others is

perceived caregiver burden (Clyburn, Stones, Hadjistavropoulos, & Tuokko, 2000;

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Maes et al., 2003; Wade, Taylor, Drotar, Stancin, & Yeates, 1998). Perceived burden

includes embarrassment, guilt, overload, feelings of entrapment, resentment, isolation

from society, and loss of control (Zarit, Reever, & Bach-Peterson, 1980). In parents of

children with intellectual disabilities, curtailed employment opportunities, a likely

consequence of burden, were associated with feelings of isolation, lack of fulfillment,

and low self-esteem (Shearn & Todd, 2000). Further, a higher caregiver burden in

parents with intellectually disabilities has been related to a greater need by parents to

use external health services (Maes et al., 2003). However, the role of caregiver burden

in the high level of depression and anxiety symptoms reported by parents caring for

intellectually disabled children has yet to be examined.

The present study aimed to confirm the high levels of psychological morbidity in

parents of intellectually disabled children and explore a diverse range of likely sources

of depression and anxiety using a case control design. The role of functional social

support, child behaviour problems, sleep quality, and caregiver burden were examined.

It was hypothesized: first, that parents’ of children with intellectual disabilities would

report much higher levels of both depression and anxiety than parents of typically

developing children; and second, that poorer social support and sleep quality, more

problematic offspring behaviour, and higher perceived caregiver burdens would be

associated with greater psychological morbidity.

Methods

Participants

Participants were 32 parents of children with intellectual disabilities and 29 parents

of typically developing children. Cases, i.e. parents of intellectual disabled children,

were recruited from syndrome specific family support groups, via invitation letters

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distributed by their respective associations and by advertising on syndrome newsletters

and by word of mouth. Inclusion criteria for these parents were: caring for at least

one child with Downs, Autism, Cornelia de Lange, or Smith-Magenis syndromes; the

intellectually disabled child had to be aged between 3 and 19 years and cared for at

home during the school term. The majority of parents reported caring for a child with

Autism (66%); the remainder were parents of a child with Downs syndrome (22%) and

children with other syndromes (e.g. Cornelia de Lange) (12%). Controls, i.e. parents

of typically developing children, were recruited via local schools, media campaigns

and advertisements placed within University newspapers. The same age of child and

domicile inclusion criteria applied. Attempts were made to match the groups as

closely as possible on age, sex, socioeconomic position, ethnicity, and marital status

(See Table 1).

Measures

Depression and anxiety

Parental psychological morbidity was measured using the Hospital Anxiety and

Depression Scale (HADS) (Zigmond & Snaith, 1983), a well-recognised and respected

assessment tool. The scale contains 14 four-point items, from 0 (not present) to 3

(considerable), with seven assessing largely the anhedonic rather the somatic aspects

of depression (e.g., ‘I have lost interest in my appearance’) and seven assessing

anxiety (e.g., ‘I feel tense or wound up’). The item scores are added, giving sub-scale

scores for depression and anxiety from zero to 21. The HADS has good concurrent

validity (Bramley, Easton, Morley, & Snaith, 1988; Herrmann, 1997), performs well as

a psychiatric screening device (Bjelland, Dahl, Haug, & Neckelmann, 2002;

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Herrmann, 1997), and boasts good psychometric properties; for example, a Cronbach’s

α, an index of internal reliability, of .90 for the depression items and .93 for the anxiety

items has been reported (Moorey et al., 1991) with test-retest reliability coefficients as

high as .85 for depression and .84 for anxiety (Herrmann, 1997). For the present

sample, Cronbach’s α was .86 for both the depression and the anxiety subscales.

Social support

Social support was assessed using the 12-item Support Functions Scale (Dunst,

Trivette, & Deal, 1988). Parents rate each source of support available to them

including practical (e.g. ‘someone to help take care of my child’) and emotional (e.g.

‘someone to talk to about things that worry me’) support on a 5-point Likert scale

ranging from 1, never, to 5, quite often. This scale has been shown to be reliable

(Cronbach’s α =.86) and is used extensively in intellectual disability research (e.g.

White & Hastings, 2004). A high internal consistency (Cronbach’s α =.89) was also

evident for the present sample.

Child’s problem behaviour

The 25-item Strengths and Difficulties Questionnaire (Goodman, 1997), was used

to screen for child behaviour problems. The scale has five subscales, with one

assessing prosocial behaviour (e.g. ‘kind to younger children’) and four assessing

problems behaviours; emotional symptoms (e.g. ‘often unhappy, downhearted or

tearful’), conduct disorder (e.g. ‘often argumentative with adults’), hyperactivity (e.g.

easily distracted, concentration wonders’), and peer relationships (e.g. rather solitary,

tends to play alone’). Parents are asked to rate whether a behaviour is true (1),

somewhat true (0) or certainly true (2) of their child with higher scores indicating more

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problem behaviours. Some items are reversed scored (e.g. generally obedient, usually

does what adults request) so that a true (2) and certainly true (0). The scale has been

shown to be reliable (Cronbach’s alpha = .76) and effective at identifying behavioural

problems in children (Goodman & Scott, 1999). Further, it has been used extensively

in research with intellectually disabled children (Beck, Hastings, Daley & Stephenson,

2004; Hastings, Daley, Burns, & Beck, 2006). For the purposes of our analyses only

the problem behaviour total score was used and a satisfactory Cronbach's alpha was

obtained in the present sample α =.88.

Sleep quality

The Pittsburgh Sleep Quality Index (Buysse, Reynolds, Monk, Berman, & Kupfer,

1989) is a 19-item self-report questionnaire that assesses sleep quality and disturbance.

This index encompasses seven dimensions of sleep: subjective sleep quality, sleep

latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping

medications, and daytime dysfunction. Scores on items range from 0 (no difficulty) in

a particular dimension to 3 (severe difficulty). For some items the 0 (not during the

past month) to 3 (three or more times a week) scale captures frequency. Examples of

items include ‘During the past year, how would you rate your sleeping quality

overall?’ and ‘During the past year, how often have you had trouble staying awake

while driving, eating meals, or engaging in social activity?’. By summing component

scores, a total sleep quality score is obtained that ranges from 0 (good sleep quality) to

21 (poor sleep quality). This index has excellent has been shown to distinguished

between ‘good sleepers’, ‘poor sleepers’ and ‘sleeping disorder patients’ over an 18-

month period (Buysse et al., 1989). The sum of scores of the seven dimensions yields

one global score. The total scale has acceptable internal consistency (Cronbach’s α =

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.83) and good test-retest reliability (r = .85) (Buysse et al., 1989). In the present study

Cronbach’s α for the total scale was .86. The scale has also recently been used to

assess sleep quality in caregiver research (Brummett et al., 2006) including studies of

parents of children with physical disabilities (Wright, Tancredi, Yundt, & Larin,

2006).

Caregiver burden

As a measure of parental caregiver burden, an adapted version of the 22-item

Caregiver Burden Index was used (Zarit, Todd, Zarit, 1986). This index was designed

to assess the stresses experienced by family caregivers of elderly and disabled persons.

It can be administered as interview or questionnaire; we opted for the latter approach.

Questions were amended replacing ‘your relative’ with ‘your child’. Examples of

items include ‘Do you feel that because of the time you spend with your child that you

don’t have enough time for yourself?’, ‘Are you afraid what the future holds for your

child?’, and ‘Overall, how burdened do you feel in caring for your child?’. Responses

range from never (0) to nearly always (4). It has been used extensively in caregiver

research (Ukpong, 2006; Vedhara et al., 2002). High internal consistency (Cronbach’s

α = .94) was evident for the present sample.

Procedure

From 101 contacts, 61 parents were recruited to the study and attended a session at

the University where they provided informed consent. The purposes of the study were

explained in detail and participants were given a pack of psychosocial questionnaires

to complete. They had the option of completing the questionnaires on site or at home,

returning in a prepaid envelope. The study was approved by the relevant Research

Ethics Committees.

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Statistical analyses

Initial analyses of group differences were by Chi-square and univariate ANOVA;

in the latter, η2

is reported as a measure of effect size. Subsequent, analyses were by

regression, mainly testing hierarchical models. Linear regression was applied with

continuous HADS depression and anxiety scores, and logistic regression was used

when possible pathology was determined, yielding binary variables, using established

cut-off values. For analysis involving the whole sample, parental group was always

entered at step 1 as a dummy variable. Regression analyses were also applied within

parental groups. Slight variations in degrees of freedom reflect occasional missing

data for some variables.

Results

Descriptive characteristics of parental groups

Since the parents of children with Down’s syndrome did not differ from the other

cases in terms of the outcome variables, parents of intellectually disabled children

were treated as a uniform case group. The socio-demographic and summary childcare

characteristics of the two parental groups are presented in Table 1. It is evident that

the groups are reasonably well matched on most variables. There are two exceptions;

parents of intellectually disabled children were slightly older on average and were less

likely to be currently employed outside the home.

[Insert Table 1 about here]

Group differences in depression and anxiety

Parents caring for intellectually disabled children had much higher levels of

depressive symptomatology than parents of typically developing children, F(1, 59) =

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41.64, p < .001, η2

= .414. They also had much higher anxiety scores, F(1, 59) =

43.12, p < .001, η2

= .422. A cut-off of ≥ 8 on the depression subscale of the HADS

was used as an indicator of possible pathology (Zigmond & Snaith, 1983). Parents of

intellectually disabled children were much more likely to reach this criterion than

parents of typically developing children χ2

(1) = 18.06, p < .001. The same was true

using the same recommended cut-off for anxiety χ2

(1) = 23.22, p < .001. Table 2

presents the summary data.

[Insert Table 2 about here]

Group differences in social support, sleep quality, child problem and prosocial

behaviours, and caregiver burden

There were significant group differences for four all of these variables. Parents of

intellectually disabled children reported poorer functional social support, F(1, 59) =

6.53, p = .01, η2

= .100, and sleep quality, F(1, 59) = 24.46, p <.001, η2

= .293, greater

child behaviour problems, F(1, 57) = 85.00, p < .001, η2

= .599, and higher caregiver

burden, F(1, 57) = 40.93, p <.001, η2

= .418. The descriptive statistics are presented

in Table 3.

[Insert Table 3 about here]

Contribution of potential mediator variables to group differences in depression and

anxiety

In hierarchical linear regression analysis, in which parental group was entered at

step 1 and the potential mediators individually at step 2, child behaviour problems, β =

.42, t = 2.28, p =.007, ∆R2 = .07, social support, β = -.26, t = 2.59, p = .01, ∆R

2 = .06,

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sleep quality, β = .44, t = 4.17, p <.001, ∆R2 = .14, and caregiving burden β = .53, t =

4.58, p <.001, ∆R2 = .17 were significant predictors of depressive symptomatology. In

these analyses, β for parental group was attenuated from .64 at step 1 to .56, .41, .32

and .31 at step 2, respectively. Accordingly, we tested for mediation in each case

using the Goodman test (Goodman, 1960). In the case of child problem behaviours,

sleep quality and caregiver burden, there was evidence of mediation, z = 2.65, p =.007,

z = 3.23, p =.001, and z = 3.65, p <.001. Thus, it would seem that child behaviour

problems, sleep quality and caregiver burden were not only associated with depression

independently of parental group in these models, but they accounted, at least in part,

for case/control group differences in depression. The outcome of the mediation

analysis is presented in Figure 1.

A further hierarchical regression analysis was undertaken, in which at step 2, social

support, child behaviour problems, sleep quality and caregiver burden were entered.

In this analysis, the effect of parental group was no longer significant, β = .16, p = .25.

However, both social support, β = -.24, p = .009, sleep quality, β = .23, p = .04, and

caregiver burden, β = .48, p = .001 emerged as significant predictors of depressive

symptomatology. In a final regression model, parental group was again entered at step

1. Age and work outside the home were entered at step 2 since they differentiated

groups, and social support, child behaviour problems, sleep quality and caregiver

burden entered at step 3. Again, only social support, β = -.19, p = .03, and caregiver

burden, β = .29, p = .04 were associated with depressive symptomatology; there was

no influence of parental group, β = .10, p = .44.

Similar analyses were undertaken with anxiety score as the dependent variable. In

these analyses, problem behaviours, β = .35, t = 2.28, p = .02, ∆R2 = .05, sleep quality,

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β = .38, t = 3.51, p = .001, ∆R2 = .10, and caregiver burden, β = .60, t = 5.77, p <.001,

∆R2 = .22, emerged as predicators of anxiety. In these analyses, β for parental group

was attenuated from .66 at step 1 to .40, .45 and .29 at step 2, respectively.

Mediation analysis confirmed that child behaviour problems, z = 2.23, p = .02, sleep

quality, z = 3.23, p = .001, and caregiver burden, z = 4.15, p <.001, were candidate

mediators, at least in part, of the association between parental group and anxiety score.

The mediation analysis is presented in Figure 2. In the model in which both child

behaviour problems, sleep quality and caregiver burden were entered after parental

group, only caregiver burden emerged as a significant predictor of anxiety, β = .52, p

<.001. The same was true of the analysis that included age and work outside the

home, β = .51, p = .001.

[Insert Figures 1 and 2 about here]

Sensitivity analysis using the HADS cut-off scores for possible pathology

In logistic regression models with parental group entered at step 1 and the potential

mediators as step 2, a broadly analogous picture emerged. Child behaviour problems,

OR = 1.16, 95% CI = 1.017 – 1.32, p = .02, sleep quality, OR = 1.50, 95% CI = 1.10 –

2.05, p = .01, and caregiver burden OR = 1.17, 95% CI = 1.06 – 1.28, p = .001, proved

to be significant predictors of possible depression. In the sleep model, parental group

remained a significant predictor of possible depressive pathology, OR = 10.36, 95% CI

= 1.81 – 59.21, p = .009, but not for models on child behaviour problems, OR = 4.43,

95% CI = 5.41 –32.28, p = .16, and burden, OR = 4.59, 95% CI = 0.65 – 32.47, p =

.12. In the analysis in which child behaviour problems, sleep quality and caregiver

burden were entered simultaneously, only the latter was associated with depression,

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OR = 1.16, 95% CI = 1.04 – 1.31, p = .01. In this model, parental group did not

significantly predict depression, OR = 4.62, 95% CI = 0.44 – 48.14, p = .20. The same

outcomes were apparent with analyses of anxiety; child behaviours, OR = 1.17, 95%

CI = 1.02 – 1.33, p = .02, sleep quality, OR = 1.41, 95% CI = 1.05 – 1.90, p = .02, and

burden, OR = 1.18, 95% CI = 1.06 – 1.32, p = .003, were associated with possible

pathology. Again, there was no effect of parental group on anxiety in these analyses.

Within group analyses

Linear regression analyses with each of the potential mediators entered separately

as independent variables revealed no significant associations between social support,

child behaviour problems, sleep quality, and caregiver burden and depressive

symptomatology in the control group. However, for parents of intellectually disabled

children, child behaviour problems, β = .34, t = 2.08, p = .04, R2 = 13.3, social support,

β = -.40, t = 2.39, p = .02, R2 = .16, sleep quality, β = .56, t = 3.69, p = .001, R

2 = .31,

and caregiver burden, β = .64, t = 4.34, p <.001, R2 = .41 predicted depression. In a

model, in which all three of these variables were entered simultaneously both social

support, β = -.34, p = .02, and caregiver burden, β = .53, p = .009, were significant

predicators of depressive symptomatology. This model accounted for 56% of the

variance in HADS depression scores within the parents of intellectual disabled

children.

In parallel analyses, only caregiver burden within the control group was associated

with anxiety scores, β = .55, t = 3.16, p = .004, R2 = .30. Within the case group, both

sleep quality, β = .50, t = 3.13, p = .004, R2 = .25, and caregiver burden, β = .66, t =

4.65, p <.001, R2 = .44, predicted anxiety levels. In a model in which sleep quality and

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caregiver burden were both entered, only the latter emerged as a significant predictor,

β = .57, t = 3.15, p = .004; this model accounted for 45% of the variance in anxiety

score among parents caring for a child with an intellectual disability.

In analyses using the criterion ≥ 8 for possible pathology, it was burden which

again emerged as the single predictor of depression, OR = 1.33, 95% CI = 1.04 – 1.69,

and anxiety, OR = 1.15, 95% CI = 1.00 – 1.32.

Caregiver burden

Previous principal component analysis of the caregiver burden index has

uncovered three dimensions of burden: negative social and personal consequences,

psychological burden, and guilt (Ankri, Andrieu, Beaufils, Grand, & Henrard, 2005).

Examples of items loading on these factors are ‘Do you feel that your child currently

affects your relationship with other family and friends in a negative way?’, ‘Do you

feel strained when you are around your child?’, ‘Do you feel you could do a better job

in caring for your child?’, respectively. In regression analyses, entering parental

groups at step 1, and scores on three burden dimensions at step 2, negative social and

personal consequences was a significant predictor of depressive symptomatology, β =

.34, p = .03. Neither of the other two dimensions were significantly associated with

depression score. In contrast, the same analysis applied to anxiety sores revealed that

guilt was the only caregiver burden dimension to significantly predict anxiety levels, β

= .28, p = .02.

Discussion

The present study confirmed that parents caring for a child with an intellectual

disability report substantial symptoms of depression and anxiety (Dunn et al 2001;

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Eisenhower et al., 2005; Glidden & Schoolcraft, 2003; Sharpley et al., 1997; Weiss,

2002; Yirmiya & Shaked, 2005). Almost two thirds of the parents of intellectually

disabled children in the current study met the conventional criterion for possible

depression, and three quarters for possible anxiety. Similar levels of caseness for

depression on the HADS were observed in an earlier UK study, although lower

estimates of anxiety were reported (White & Hastings, 2004). What is clear from our

data and the results of other studies (Carroll, Phillips, Hunt, & Der, 2007; Herrmann,

1997) is that depression and anxiety are co-morbid conditions; in the present study

symptoms of depression and anxiety were highly correlated among the parents of

intellectually disabled children (r = .64). Very few of the parents of typically

developing children met the criteria for possible pathology. The depression and

anxiety scores for these parents were comparable to those found in recent non-clinical

population studies in the UK (Carroll et al., 2007; Crawford, Henry, Crombie, &

Taylor, 2001). Further, whereas none of the control parents met the criteria (HADS

cutoff > 11) for definite depression or anxiety, a third and a half, respectively, of the

parents caring for an intellectually disabled child did. In spite of this, none of these

parents reported taking anti-depressives and only one was using anxiolytics. Other

under-treated at risk populations have been identified previously (Lane, Carroll, Ring,

Beevers, & Lip, 2001).

In terms of the potential pathways to distress, cases and controls differed on all

four putative mediators. Parents of children with intellectual disabilities reported

poorer functional social support and more problematic child repetitive behaviours,

outcomes that resonate with the results of previous research (Dunn et al., 2001;

Eisenhower et al., 2005; Gray & Holden, 1992; Stores et al., 1998; Weiss, 2002;White

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18

& Hastings, 2004). In the present study, they also reported poorer sleep quality and a

much higher caregiver burden compared to controls. Although, not previously studied

in this context, low sleep quality and demanding caregiver burden has been found for

caregivers of children of physical disabilities, Alzheimer and multiple sclerosis

sufferers, and cancer patients. (Meltzer & Mindell, 2006; Vedhara et al., 2002;Wilcox

& King, 1999; Wright et al., 2006). However, in linear regression analyses, with

parental group entered as a dummy variable, social support, sleep quality, and

caregiver burden emerged as significant predictors of depression. Tests of mediation

identified child problem behaviours, sleep quality and caregiver burden as candidate

mediators. The same mediators emerged from analyses of anxiety scores. In parallel

logistic regression analyses, with possible psychopathology status as the outcome,

child behaviour problems, sleep quality and caregiver burden again proved to be key

predictors of both depression and anxiety.

Analyses within the group of parents caring for intellectually disabled children

implicated much the same variables in depression and anxiety. Sleep quality and

caregiver burden were associated with depression and anxiety scores; additionally,

social support was related to depression score. In analyses of possible pathological

status, however, only caregiver burden predicted whether or not these parents were

depressed or anxious. As expected, child problem behaviours were associated with

depression and anxiety parents of children with intellectual disabilities (Blacher &

McIntyre, 2006; Floyd & Gallagher, 1997; Hastings et al., 2005a; Hastings et al.,

2005b). However, in competing analyses problem behaviours in the child were no

longer significant in the prediction of depression or anxiety. It is likely that whether or

not an association emerges between the extent of behaviour problems and parental

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distress depends on what other variables have been included in the analyses. After all,

there were large case control group differences in parents’ reports of their children’s

behaviour problems in the present study. It is just that other variables better accounted

for group differences in depression and anxiety and depression and anxiety per se. It

is possible that children’s behaviour problems influence parental depression and

anxiety largely through parents’ perceptions of the burden they impose. Behaviour

problems and caregiver burden were highly correlated in the sample as a whole (r =

.76).

Throughout our analyses, caregiver burden emerged as the most consistent and

robust predictor of both symptomatology and possible pathology. Thus, burden would

appear to be as potent a source of distress for parents of intellectually disabled children

as it has been observed to be for other caregiver groups (Bibou-Nakou, Dikaiou, &

Bairactaris, 1997; Clyburn et al., 2000; Wade et al., 1998; Vedhara et al., 2002).

Caregiver burden is a broad concept encompassing feelings of embarrassment and guilt,

a sense of entrapment, resentment, and the experience of loss and isolation from society

(Zarit et al., 1980). A recent principal components analysis distilled three dimensions

of burden from the scale used in the current study: negative social and personal

consequences, psychological burden, and guilt (Ankri, et al., 2005). The first of these

proved to be the strongest predictor of depressive symptomatology in parents caring for

an intellectually disabled child, whereas the last was the only significant predictor of

anxiety scores. Thus, it would appear that symptoms of depression are manifest when

parents feel that their social and personal lives are constrained and disrupted as a result

of their caring role. There is indirect evidence in favour of this contention. Parents of

children with Down’s syndrome and autism were found to experience more distress

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when their social and work life was restricted as a result of their caring role (Hare, et

al., 2004; Roach, Orsmond, & Barratt, 1999; Shearn & Todd, 2000). Similarly, parents

of children with pervasive developmental disorders were found to have a poorer quality

of life, compared to controls, when their social relationships were impaired (Mugno,

Ruta, D'Arrigo, & Mazzone, 2007).

Originating in family stress research, the ambiguous loss theory (Boss, Caron,

Horbal, & Mortimer, 1990) considers that many parents of children with autism

experience a sense of ambiguous loss. Since caring in this context is neither stable nor

predictable, parents struggle to manage and tolerate this burden of ambiguity. The

identity loss, consequent on parents’ failure to separate their own identity from that of

their child, results in distress. Ambiguity about roles and responsibilities has been

found to contribute to depressive symptomatology in caregivers of dementia patients

(Boss et al., 1990). More telling in the current context, identity ambiguity in parents

of children with intellectual disabilities, but not the severity of autism spectrum

disorder symptoms (e.g communication, social interaction, and restricted/repetitive

interests, was a significant predictor of depressive symptoms (O'Brien, 2007).

In contrast, guilt was most the potent dimension of caregiver burden to predict

anxiety scores in these parents. This finding is broadly consistent with the results of

previous studies. A number of studies have observed that the parents of children with

intellectual disabilities who reported feelings of guilt also indicated that they lacked

confidence in their parenting abilities and decision-making which, in turn, was

associated with increased distress, including anxiety (Benderix, Nordstrom, & Sivberg,

2006; Hedov et al., 2002; Hilton, Hunt, & Petticrew, 2007; Lenhard, Breitenbach,

Ebert, Schindelhauer-Deutscher, & Henn, 2005).

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The current study has a number of limitations. First, the data are cross-sectional.

Accordingly, the high levels of distress observed in those parents caring for

intellectually disabled children may be transitory. However, there is evidence that the

distress observed in this population persists over time (Dyson, 1993; Glidden &

Schoolcraft, 2003). Second, our sample size might be regarded as small. Parents of

intellectually disabled children are, for obvious reasons, notoriously difficult to recruit

for research purposes and this study is of the same order of magnitude of many of the

other published case control studies (Padeliadu, 1998; Roach et al., 1999; Weiss,

2002). Third, women outnumbered men, but this is hardly surprising since they

predominate as primary caregivers. Importantly, the ratio of women to men was

almost identical in the two parental groups. Finally, employment outside the home and

age differentiated the groups. However, the main associations were still evident

following adjustment for these variables.

In summary, relative to parents of typically developing children, parents caring for

intellectually disabled children reported high levels of depression and anxiety

symptoms. Further, the majority of these parents met the established criteria for

possible clinical depression and/or anxiety. The strongest and most consistent

predictor of group differences in distress, as well as individual variations in distress

within the group of parents with intellectually disabled children, was caregiver burden.

Analyses of its component dimensions indicated that the negative social and personal

consequences of caregiving were associated with depression, whereas guilt was

associated with anxiety. This suggests that psychosocial interventions for this

population might be tailored depending on how the distress presents itself as

depression, anxiety, or both, in the individual caregiver.

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Acknowledgements

The authors would like to express their appreciation to Autism West-Midlands, Down

Syndrome Association and Baljit Nhal from Birmingham Children’s Hospital for their

help with the recruitment process. A special thanks is also extended to the parents

caring for children with intellectual disabilities and the parents caring for typically

developing children who made this research possible.

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Tab

le 1

. D

emo

gra

phic

ch

arac

teri

stic

s an

d c

hil

d c

are

resp

onsi

bil

itie

s of

par

enta

l gro

ups

C

ases

(N

= 3

2)

Contr

ols

(N

= 2

9)

Tes

t of

dif

fere

nce

Sex

(F

emal

e)

24 (

75%

) 20 (

69%

) χ2

(1)

= 0

.06, p =

.81

Mar

ital

Sta

tus

(Par

tner

ed)

28 (

88%

) 20 (

70%

) χ2

(1)

= 2

.11, p =

.15

Eth

nic

ity (

Cau

casi

an)

29 (

91%

) 26 (

90%

) χ2

(1)

= 0

.00, p =

1.0

0

Occ

upat

ional

sta

tus

(Pro

fess

ional

) 15 (

47%

) 16 (

55%

) χ

2 (

1)

= 0

.15, p =

.70

Curr

entl

y e

mplo

yed

outs

ide

the

hom

e

22 (

69%

) 29 (

100%

) χ2

(1)

= 7

.19, p =

.007

Mea

n a

ge

(SD

) yea

rs

4

2.8

(5.7

8)

3

9.9

(4.3

6)

F

(1,5

9)

= 4

.76, p =

.0

3

Mea

n b

od

y m

ass

index

(S

D)

kg/m

2

26.8

(4.2

7)

2

4.7

(4.1

0)

F

(1,5

6)

= 3

.80, p =

.0

6

Pri

mar

y c

areg

iver

25 (

78%

) 21 (

72%

) χ

2 (1

) =

0.0

5, p

= .83

Mea

n a

ge

of

mai

n c

are

reci

pie

nt

(SD

) yea

rs

11.2

(3.9

9)

8

.9 (

4.5

7)

F

(1,5

4)

= 3

.88, p =

.0

6

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Table 2. Symptoms of depression and anxiety by parent group

Cases (N = 32)

Control (N = 29)

Mean depression score (SD) 8.6 (3.92) 3.2 (2.31)

Mean anxiety score (SD) 11.0 (4.40) 5.0 (2.44)

Depression score ≥ 8 (%) 20 (63%) 2 (7%)

Anxiety score ≥ 8 (%) 24 (75%) 3 (10%)

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Table 3. Social support, sleep quality, child problem behaviours, caregiving burden by

parent group

Cases (N = 32)

Control (N = 29)

Mean social support score (SD) 31.3 (9.76) 37.9 (10.37)

Mean sleep quality score (SD) 10.0 (2.48) 7.1 (2.09)

Mean child behaviour problem score (SD) 22.9 (5.88) 9.9 (4.89)

Mean caregiver burden score (SD) 44.0 (14.26) 22.9 (10.67)

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Figure captions

Figure 1. Mediation analysis of the association between parental group and depressive

symptomatology for child problem behaviours, sleep quality and caregiver burden:

statistics are standardised regression coefficients

Figure 2. Mediation analysis of the association between parental group and anxiety

scores for child problem behaviours, sleep quality and caregiver burden: statistics are

standardised regression coefficients

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Care

burden

Depression

score

Parental

groups

.31

.63 .53

Sleep

quality

Depression

score

Parental

groups

.41

.54 .44

Child

behaviour

Depression

score

Parental

groups

Depression

score

Parental

groups

.64

.32

.77 .42

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Care

burden

Anxiety

score

Depression

Parental

groups

.29

.63 .60

Child

behaviours

Anxiety

score

Parental

groups

Anxiety

score

Parental

groups

.66

.40

.77 .35

Sleep

quality

Anxiety

score

Parental

groups

.45

.54 .38