ArticlePDF Available

Depression Among Parents of Children With Disabilities


Abstract and Figures

We examined the rate of depression among 110 parents of children with disabilities and tested a model to determine the unique factors associated with parental depression. Consenting parents completed measures of depression, family satisfaction, physical health, problem-solving abilities, stress appraisals, and child functional impairment. Participants were categorized as depressed or nondepressed based on their responses to the Patient Health Questionnaire (PHQ9; Kroenke, Spitzer, & Williams, 2001). Nineteen percent of the parents met screening criteria for depression. Regression analyses revealed that threat appraisals, poorer physical health, and lower family satisfaction were uniquely associated with depression status with 83.3% accuracy. These findings highlight the importance of family satisfaction, problem solving ability, physical health, and the influence of appraisal processes on depression among parents of children with disabilities.
Content may be subject to copyright.
Depression Among Parents of Children With Disabilities
J. Aaron Resch, PhD, Timothy R. Elliott, PhD, and Michael R. Benz, PhD
Texas A&M University
We examined the rate of depression among 110 parents of children with disabilities and
tested a model to determine the unique factors associated with parental depression.
Consenting parents completed measures of depression, family satisfaction, physical
health, problem-solving abilities, stress appraisals, and child functional impairment.
Participants were categorized as depressed or nondepressed based on their responses to
the Patient Health Questionnaire (PHQ9;Kroenke, Spitzer, & Williams, 2001). Nine-
teen percent of the parents met screening criteria for depression. Regression analyses
revealed that threat appraisals, poorer physical health, and lower family satisfaction
were uniquely associated with depression status with 83.3% accuracy. These findings
highlight the importance of family satisfaction, problem solving ability, physical health,
and the influence of appraisal processes on depression among parents of children with
Keywords: depression, children with disabilities, parents, family satisfaction, Patient Health
Parents of children with disabilities appear to
be more likely to experience elevated levels of
stress and, as a result, a decrease in quality of
life (Browne & Bramston, 1998). Approxi-
mately 35% to 53% of parents of children with
disabilities may have problems with depression,
but this literature is plagued with small sample
sizes and differences in depression measure-
ment methods (Olsson & Hwang, 2001). Veis-
son (1999) points out that studies of depression
among parents of children with disabilities yield
conflicting results: There are studies indicating
higher levels of depression among parents of
children with disabilities and studies that find
no differences in depression between parents of
children with and without disabilities (Glidden
& Schoolcraft, 2003).
Many studies of depression among parents of
children with disabilities rely on samples re-
cruited in clinical settings where families seek
treatment; consequently, this work may lack
generalizeability to people living in the commu-
nity who are not actively seeking or receiving
clinical services. More importantly, many stud-
ies in this area use instruments that are not
criterion-referenced and lack specificity for a
meaningful comparison with symptoms and cri-
teria consistent with a major depressive episode.
Although popular self-report measures of de-
pressive symptoms are often used in studies of
parent adjustment (Demirtepe-Saygili & Bozo,
2011), these instruments lack specificity and
scores are inflated by general distress (Gotlib,
Lewinsohn, & Seeley, 1995). For example, in
the Singer (2006) meta-analysis of maternal de-
pression, none of the studies reviewed used a
depression measure that assessed all symptoms
by the criteria required to determine a major
depressive episode.
Generally, evidence indicates that mothers of
children with disabilities often report problems
with depressive symptoms (Bristol, Gallagher
& Schopler, 1988), and certain features may
decrease the likelihood of depression among
these parents, including education and income
(Breslau, Staruch, & Mortimer, 1982), marital
status (Olsson & Hwang, 2001), and the sever-
This article was published Online First November 12, 2012.
J. Aaron Resch, PhD, Timothy R. Elliott, PhD, and
Michael R. Benz, PhD, Center on Disability and Develop-
ment, Department of Educational Psychology, Texas A&M
This study was conducted as part of a dissertation by J.
Aaron Resch. This research was supported by the Center on
Disability and Development through a grant from the De-
partment of Health and Human Services (90DD0667).
Correspondence concerning this article should be ad-
dressed to Timothy R. Elliott, PhD, 4225 TAMU, College
Station, TX 77843. E-mail:
Families, Systems, & Health © 2012 American Psychological Association
2012, Vol. 30, No. 4, 291–301 1091-7527/12/$12.00 DOI: 10.1037/a0030366
ity of the child’s impairments (Floyd & Gal-
lagher, 1997). Parents report that environmental
resources and supports that match family
needs—such as financial resources, opportuni-
ties for community and social inclusion, family
cohesion, and access to necessary information
and services for child and family—can mitigate
the stress often incurred by the child’s disability
and its impairments (Green, 2007;Resch, Mire-
les, Benz, Zhang, Peterson, & Grenwelge, 2010;
Worcester, Nesman, Mendez, & Keller, 2008).
Unfortunately, environmental resources and
supports are not well understood and are under-
studied, despite the fact that improvements in
resources and supports are emphasized in the
Affordable Care Act to benefit community-
residing families providing care to a family
member with a disability (Reinhard, Kassner, &
Houser, 2011).
Several psychological characteristics, in con-
trast, are known to be associated with the dis-
tress reported by a family member caring for a
loved one with a disability, and many of these
have considerable implications for psychologi-
cal interventions. We know that cognitive ap-
praisals of stress and growth (Hastings, 2002;
Kronenberger & Thompson, 1992;Pakenham,
2001), effective social problem-solving abilities
(Dreer, Elliott, Fletcher, & Swanson, 2005;
Dreer, Elliott, Shewchuk, Berry, & Rivera,
2007;Noojin & Wallander, 1997;Rivera, El-
liott, Berry, Grant, & Oswald, 2007), and satis-
faction with familial relationships (Glidden &
Floyd, 1997;Lightsey & Sweeney, 2008) are
predictive of distress reported by family mem-
bers who are in caregiver roles independent of
the variance attributable to care recipient dis-
ability severity. We do not know, however, the
degree to which these variables contribute to the
prediction of a possible depressive episode
among parents of children with disabilities, or
whether they remain predictive of depression
status after taking into account environmental
supports and services.
The present study was conducted to achieve
two goals. First, we wanted to obtain informa-
tion about the number of parents of children
with disabilities who may be at risk for a major
depressive episode. To accomplish this, a sam-
ple of community residing parents was re-
cruited, rather than a sample of parents receiv-
ing services from a clinical settings. We also
used a criterion-referenced self-report measure
of depression that provides a reliable and valid
assessment of a probable major depressive
Second, we examined a predictive model of
depression status, using variables (i.e., apprais-
als of threat and growth, social problem solving
ability, and resources and environmental/social
supports, physical health, family satisfaction) of
theoretical and clinical importance known to be
associated with depression rates for family care-
givers in prior research. Using a model of fam-
ily adjustment after disability as a guide (cf.
Elliott & Mullins, 2004), we used a four-step
hierarchical regression equation to predict par-
ent depression status, while simultaneously
accounting for any clinically important relation-
ships that could be attributable to parent demo-
graphic information and/or the severity of the
child’s impairments.
The total sample consisted of 110 parents of
at least one child with a disability recruited
through a large statewide parent organization
for parents of children with disabilities. Disabil-
ity type was determined using disability catego-
ries used in the Texas education system and
commonly understood by the participants and
the parent organization. Most of the participants
were mothers ranging in age from 27 to 68 years
(M45.6). The majority of the participants
were Caucasian (83.6%); Latinos (9.1%) and
African Americans (5.5%) constituted most of
the remaining sample. Most participants (73%)
reported annual household incomes of at least
$25,000, but not more than $150,000. All par-
ticipants had at least a high school diploma, and
95% reportedly had some college experience.
About a third (34.5%) of parents reported spo-
radic or no employment, 23.6% reported part-
time employment, and 41.8% reported full-time
Child ages were normally distributed with the
majority (n90) of the participant’s children
falling between ages 5 and 11 (n38), 11–16
(n34), and 17–21 (n18). The disability
type of the child varied: 32.7% (n36) had
autism, 19.1% (n21) had an intellectual
disability, 20% (n22) had multiple disabili-
ties (e.g., a child with both an intellectual dis-
ability and a visual impairment), and 27.3%
(n30) had other types of disabilities (e.g.,
auditory impairments, visual impairments, trau-
matic brain injury, orthopedic impairment,
speech impairments, deaf-blind, and other types
of health impairments).
Parents affiliated with the statewide parent
organization used as a point of recruitment for
this study were sent an initial email in which
they were invited to participate in an online
survey about their experiences as a parent rais-
ing a child with disabilities. Those parents in-
dicating a willingness to participate were sub-
sequently sent a unique link to complete the
survey. An online survey tool (Qualtrics) was
used to facilitate data collection for this study.
Because a significant portion of the state’s pop-
ulation was of Mexican descent, the survey was
also made available in Spanish. Consistent with
the requirements for informed consent, upon
accessing the link, participants were provide a
more detailed explanation about the study to
include their rights as participants, a statement
about the potential risks and rewards of partic-
ipation, information about the confidential na-
ture of any shared information, details regarding
an incentive for participating (a $10 gift card)
and the contact information for the investiga-
tors and the Institutional Review Board at
Texas A&M University.
Predictor Variables
Parent demographic data. Parent age, ed-
ucation level, employment status, and annual
household income were included as predictor
Child disability severity. To assess the se-
verity of the child’s disability, parents com-
pleted the 12 items that assess activities of daily
living (ADLs) on the Personal Care Assessment
Form (PCAF;Phillips, Patnaik, Dyer, Naiser,
Johnson, Fournier, & Elliott, 2011; available at The PCAF has been used
to assess personal and family needs among
5,000 children with special health care needs in
the Texas Medicaid Personal Care Services pro-
gram (Elliott, Phillips, Patnaik, Naiser,
Fournier, et al., 2011). The ADL items require
parents to rate the amount of assistance their
child needs to complete different ADLs on a
weekly basis. The particular areas of interest
include the following: bed mobility, eating,
transfers, toilet use, personal hygiene, bathing,
and continence. A six-item Likert response
scale ranging from total independence to total
dependence is used. Two questions regarding
bowel and bladder continence use a six-item
Likert scale ranging from continent to always/
almost always incontinent. An additional conti-
nence question uses a dichotomous response
choice (yes/no) to assess whether the child is
continent during the night. The ADL items are
added together to get a total score, with higher
scores indicating their child has less ability to
perform ADLs independently. The two bladder
and bowel continence questions are also
summed. Higher scores indicate problems with
Previous research using the PCAF has shown
high internal consistency (␣⫽.94; Fournier,
Davis, Patnaik, Elliott, Dyer, Jasek, & Phillips,
2010) and acceptable interrater reliability (Phil-
lips et al., 2011). Reliability analysis for this
study proved to be similar (e.g., for ADLs
.95 and for continence .94). Higher ADL
and incontinence scores on the PCAF are gen-
erally predictive of the hours of personal care
services requested by the family (Nineteen per-
cent of the parents met screening criteria for
depres Fournier et al., 2010) and authorized by
caseworkers for children with special health
care needs (Elliott et al., 2011), especially for
children with intellectual disabilities (Patnaik,
Elliott, Fournier, Naiser, et al., 2011).
Appraisals of threat and growth. Two
distinct types of appraisals were measured in
this study: Appraisals of threat or harm and
appraisals of positive growth. The threat ques-
tionnaire was modeled after the scale used by
Pakenham (2001). It has seven questions that
use a seven-point scale (low potential to high
potential) asking participants to appraise the
extent to which they believe raising a child with
a disability could potentially threaten or harm
key aspects of their life (e.g., important life
goals, relationships with others, and their per-
sonal physical wellbeing). Previous studies
using this questionnaire have demonstrated ac-
ceptable psychometric properties (e.g., Paken-
ham, 2001;Stanton & Snider, 1993). Internal
consistency of the threat scale for this study was
high (␣⫽.89).
The 21-item Post Traumatic Growth Inven-
tory (PTGI) was used (Tedeschi & Calhoun,
1996) to measure participants’ appraisals of
benefit and growth while parenting a child with
a disability. Participants used a six-point Likert
scale to rate the degree to which they believed
certain areas of their life may have positively
changed in five key areas: (a) relating to others;
(b) new possibilities; (c) personal strength; (d)
spiritual change; and (e) appreciation of life.
Higher total scores reflect a greater sense of
benefit and growth. Previous research found the
PTGI to be both reliable (e.g., full scale ␣⫽
.90) and valid in terms of measuring growth
when faced with challenges (Tedeschi & Cal-
houn, 1996). The internal consistency of the
PTGI for this study was ␣⫽.94. Notably, the
original intended use of the PTGI was to mea-
sure the existence of positive growth in individ-
uals who had experienced a traumatic event,
and parenting a child with a disability does not
necessarily constitute a “traumatic” event. Be-
cause the PTGI asks questions about how peo-
ple grow when faced when challenges, how-
ever, it is potentially a useful tool to measure
positive growth and benefit finding among the
parents in this study. Recent research supports
the assertion that the PTGI can be used in non-
trauma studies (Anderson & Lopez-Baez,
Resources and environmental/social
supports. The Resources and Environmental/
Social Supports-Questionnaire (RESS-Q) was
developed based on theoretical and empirical
evidence that suggests parents of children with
disabilities encounter several barriers related to
resources and supports in their surrounding
community and social environment (e.g., Beck-
man, 2002;Minnes, 1988;Resch et al., 2010;
Worcester et al., 2008). The purpose of the
RESS-Q was to measure the degree of match
between the family’s needs and the resources
and supports available in the community to
meet those needs. The RESS-Q has 13 items that
ask parents if they encounter problems associ-
ated with access to information and services,
financial barriers, and social/community inclu-
sion (e.g., “Important information related to the
needs of my child is usually readily available
and easy to understand”; “Our insurance plan
usually covers the majority of the health care
expenses for my child with a disability”; “I am
pleased with my social life and the number of
opportunities I have to spend with friends and
neighbors”). A five-point Likert scale ranging
from one (mostly disagree) to five (mostly
agree) is used to record responses with the total
possible questionnaire score ranging from 13 to
65. Higher scores suggest that parents feel as if
their family has greater access to environmental
and social supports available in their communi-
ties. Internal consistency of the RESS-Q was
Social problem-solving abilities. Parents
completed the 10-item version of the Social
Problem Solving Inventory-Revised (SPSI-R-
10; Dreer, Berry, Rivera, Snow, Elliott, Miller,
& Little, 2009) in order to assess their overall
problem-solving abilities. Response choices on
the SPSI-R-10 consist of a 5-point Likert scale
ranging from 0 (not at all true of me)to4
(extremely true of me). Items are summed and a
total score is derived; higher scores suggest
better problem-solving abilities. Prior research
has found that the SPSI-R-10 is statistically
comparable to the longer, 25-item version
(Dreer et al., 2009). Internal consistency of the
SPSI-R-10 for this study was ␣⫽.74.
Physical health. Past research has consis-
tently demonstrated that physical health is an
important factor in their family caregiver well
being (e.g., Grant, Bartolucci, Elliott, & Giger,
2000;Rivera et al., 2007). To measure each
parent’s overall physical health the Physical
Component Summary (PCS) from version 1
(v.1; standard 4-week recall) of the Short
Form-12 (SF-12;Ware, Kosinski, & Keller,
1996) was used. The SF-12 v.1 has 12 items that
assess one’s mental and physical health-related
quality of life. Test–retest reliability for the
SF-12 ranges between .86 and .89 for the PCS
(Ware et al., 1996). Higher PCS scores indicate
greater overall physical health.
Family satisfaction. To measure how sat-
isfied parents are with their family functioning
the Family Satisfaction Scale (FSS;Olson &
Wilson, 1982) was used. The FSS has 14 items
to assess family cohesion and adaptability and
has been used in many studies of family adjust-
ment after disability (Johnson et al., 2010;
Lightsey & Sweeney, 2008;Perlesz, Kinsella &
Crowe, 2000). The FSS uses a Likert scale
ranging from 1 (dissatisfied)to5(extremely
satisfied). Responses are summed to yield a
total score with higher scores suggesting a
higher degree of family satisfaction. Reliability
and validity work by Olson and Wilson (1982)
yielded an coefficient of .92. Internal consis-
tency on the FSS for this study was also high
Criterion Variable
The Patient Health Questionnaire (PHQ9;
Kroenke, Spitzer, & Williams, 2001) was used
to determine parent depression status. The nine
questions on the PHQ reflect the nine criteria on
which the DSM–IV depressive disorders are
based (Kroenke et al., 2001). The PHQ9 was
designed for use in clinical and medical set-
tings, and uses a four-point Likert scale (0
not at all,1several days,2more than half
the days,3nearly every day) to gauge re-
sponses to questions asking about the respon-
dents mental/emotional health over the previous
2-week period. Consequently, it is an excellent
tool for obtaining normative information about
depression rates among individuals who typi-
cally present their concerns about depressive
symptoms in primary care settings (Probst et al.,
2006). It is also suitable for use in screening for
depression among parents of children with se-
vere disabilities (Blucker, Elliott, Warren, &
Warren, 2011).
Scores on the PHQ9 can range from 0–27;
scores between 0 and 4 indicate no depression,
5–9 indicate mild depression, 10–14 indicate
moderate depression, 15–19 indicate moder-
ately severe depression, and 20 indicate se-
vere depression (Kroenke et al., 2001). In this
study depression status was coded dichoto-
mously with participants scoring 10 being
coded as depressed and participants scoring
from 0–9 coded as not depressed. Internal con-
sistency of the PHQ9 for this study was ␣⫽
Reliability and validity studies of the PHQ9
have yielded results indicating sound psycho-
metric properties. Internal consistency of the
PHQ9 has been shown to be high. A study
involving two different patient populations and
6000 total participants produced Cronbach’s al-
pha of .86 and .89. Additionally, test–retest
reliability had a high correlation at r.84 and
discriminant validity was established via a ROC
analysis that produced an area under the curve
for the PHQ9 of .95 when diagnosing depres-
sion (Kroenke et al., 2001). Moreover, criterion
validity was demonstrated by both high sensi-
tivity and specificity for the PHQ9. In addition,
among the 6000 participants who completed the
PHQ9, 580 were interviewed by mental health
professionals, and results demonstrated strong
agreement between diagnoses made by the
PHQ9 and by the mental health professionals
(Kroenke et al., 2001).
Data Analysis
Preliminary data analysis steps included de-
scriptive statistics, tests of group differences,
and zero order correlations of all variables in-
cluded in the analysis. To systematically test the
relations of clinical, psychological, and envi-
ronmental variables to parents’ depression sta-
tus, a four-block hierarchical logistic regression
(HLR) analysis was conducted. Essentially,
HLR is a sequence of regression analysis where
multiple predictor variables are added at differ-
ent blocks to see if each new combination of
predictor variables can account for significant
variance in the criterion variable while still in-
cluding previously entered combinations in the
model (Hoyt, Imel, & Chan, 2008). Optimal use
of HLR occurs when independent variables
(IVs) belonging to similar categories or measur-
ing similar constructs are included in the anal-
ysis as sets of IVs, instead of being entered as
individual IVs as would be done in typical re-
gression approaches. HLR analysis calculates
how much variance in the dependent variable
(DV) is explained by each block. A regression
coefficient for each individual variable is also
calculated to measure each individual variables
distinct contribution (Hoyt et al., 2008). HLR
has been used in this fashion in previous studies
of depression among individuals caring for fam-
ily members with disabilities (Dreer et al., 2007;
Grant et al., 2004;Rivera et al., 2007).
In the first block of the equation, parent de-
mographic variables were entered to control for
any potential association they may have with
parent depression status. The second block con-
sisted of variables related to the child’s disabil-
ity (PCAF scores for ADLs, continence). Be-
cause child age and parent age were highly
correlated (r.72) child age was not included
in the analysis to avoid problems with multicol-
linearity. Block three consisted of the RESSQ,
SPSI-R-10,PTGI, and Threat measures. These
variables were included in the same block be-
cause each one represents a specific psycholog-
ical or environmental characteristic that consti-
tutes an important protective factor for families
with members who have chronic health condi-
tions (Weihs, Fisher, & Baird, 2002), and
should, based on our hypothesis, be predictive
of parent depression (Elliott & Mullins, 2004).
The final block consisted of parent physical
health and family satisfaction. Assuming these
variables would likely have a strong inverse
relationship with depression and potentially
correlate with the other predictor variables, en-
tering these variables in the final step provided
a conservative test of any unique relationship
they may have with parent depression. The or-
der of entry for each block provides an appro-
priately stringent test of the presumed influence
of psychological, environmental, and personal
characteristics specified in the Elliott and Mul-
lins (2004) model of family adjustment follow-
ing disability.
Table 1 provides information by depression
risk status on parent demographic, child char-
acteristic variables, and other predictor vari-
ables included in the equation. Chi-square tests
performed for marital status and disability type
revealed no significant differences between the
two depression risk status groups for these vari-
ables. In addition, independent ttests revealed
no mean differences between the two depres-
sion risk status groups for average parent age,
parent education level, annual household in-
come, employment status, or any of the child’s
disability variables. However, significant differ-
ences were found between the groups for other
predictor variables. The parents classified as
depressed had significantly higher threat ap-
praisals than parents who were not depressed.
Depressed parents also reported significantly
less problem-solving ability, lower family sat-
isfaction, and lower physical health. The two
groups did not differ on their reported access to
resources and environmental/social supports or
in their appraisals of positive growth.
Because of missing data on a small number of
surveys, only 86% (n94) of the participants
were included in the logistic regression analy-
sis. Eighteen (19.1%) of the parents included in
this part of the analysis had depression scores at
or above 10 on the PHQ9. Therefore, the cut
value for depression classification was set at
.191 to reflect the actual rate of depression
observed among study participants. Parent de-
mographic variables, entered at the first block of
Table 1
Sample Statistics and pValues for Independent Samples tTests
Depression risk
Not depressed
(n19) Absolute mean
Parent age 45.7 8.4 45.3 9.8 .4 .87
Parent education level 3.7 .6 3.6 .5 .1 .82
Household income 3.5 1.2 3.1 1.2 .4 .18
Employment status 2.0 .9 2.2 .9 .2 .63
Disability severity characteristics
ADLs 14.5 13.5 16.4 17.2 1.9 .67
Urinary/bowel continence 2.7 4.0 3.5 4.0 .8 .47
Appraisal measures
Threat 19.3 9.9 27.3 10.6 8.0 .002
Growth 61.5 22.0 58.0 21.0 3.5 .48
Environmental/social supports 35.0 9.0 33.5 8.2 1.5 .49
Problem solving 31.0 5.1 28.1 5.0 2.9 .04
Parent wellbeing
Family satisfaction 50.0 11.0 40.2 9.0 9.8 .001
Physical health 53.0 9.1 44.0 14.1 9.0 .01
Significant difference .05.
Significant difference .01.
Significant difference .001.
the equation, were not significantly predictive
of parent depression status,
(4) 2.87 (see
Table 2). At the second step of the equation the
child disability characteristics (ADLs, inconti-
nence) did not significantly contribute to the
(2) .44, ns.
The four psychological and environmental
variables (RESSQ,SPSI-R-10,PTGI,Threat),
entered at the third step, were significantly pre-
dictive of parent depression status,
(4) 14.
92, p.01. Parental threat appraisals signifi-
cantly contributed to the prediction of depres-
sion status (␤⫽.115; odds ratio 1.12; Wald
[1] 7.07, p.01). With each unit increase in
appraisals of threat, parents had 12% greater
odds of being at risk for depression. However,
the SPSI-R-10,RESSQ,and PTGI did not sig-
nificantly contribute to the equation. Based on
the Cox and Snell, and as indicated by the
Neglkerke pseudo R-Squared estimates, the
variables entered at the third step accounted for
14.1% to 22.8% of the variance in parent de-
pression status.
The FSS and PCS were entered as a block
into the final step of the equation. This final
[2] 12.56, p.01, significantly
contributed to the prediction of depression sta-
tus. Both the FSS (␤⫽⫺.131; odds ratio
.877; Wald [1] 5.77, p.01) and PCS
(␤⫽⫺.062; odds ratio .940; Wald [1]
4.11, p.05) independently and significantly
contributed to the overall model. For each unit
decrease in the parent’s reported family sat-
isfaction, participants were 12.3% more likely
to be at risk for depression. Similarly, for
each unit decrease in the physical health
score, parents were 6% more likely to be at
risk for depression.
The pseudo R-squared values for this final
block ranged from 10.3% to 16.5%, and the
complete model was statistically significant
[12] 30.79; p.01), accounting for an
estimated 27.9% to 44.8% of the available vari-
ance in parent depression status. Moreover, pre-
diction accuracy for depression status using this
model was 76.3% for the nondepressed, 83.3%
for the depressed group, and 77.7% for the
entire sample (see Table 3).
Based on responses to the PHQ9, 19.1% of
the parents in our sample were classified as
depressed. This rate of depression is much
lower than the range of 35% to 53% found in
past research on similar populations (Olsson &
Hwang, 2001), but nearly three times more than
the average for the overall U.S. population
Table 2
Hierarchical Logistic Regression Predicting Depression Risk Status
95% CI for odds
SE Wald df p Odds ratio Lower Upper
Parent age 0.05 0.06 0.79 1 .38 .95 .86 1.06
Parent education level 0.94 0.87 1.16 1 .28 .39 .07 2.16
Household income 0.16 0.40 0.16 1 .69 .85 .39 1.85
Employment status 0.13 0.42 0.09 1 .76 1.13 .50 2.56
Disability characteristics
ADLs 0.05 0.03 2.21 1 .14 1.05 .98 1.12
Urinary/bowel continence 0.14 0.12 1.33 1 .25 .87 .69 1.10
Psychosocial variables
Threat appraisals 0.11 0.05 4.78 1 .03
1.12 1.01 1.23
Growth appraisals 0.01 0.16 0.22 1 .64 .99 .96 1.03
Environmental/social supports 0.11 0.06 2.99 1 .08 1.11 .99 1.25
Problem solving 0.05 0.08 0.30 1 .58 .96 .81 1.12
Parent wellbeing
Family satisfaction 0.13 0.06 5.71 1 .02
.88 .79 .98
Physical health 0.06 0.03 4.11 1 .04
.94 .86 1.0
Constant 5.89 4.95 1.42 .23
(based on the 6.7% prevalence rate reported by
the National Institute of Mental Health, 2010).
Moreover, the percentage of depressed parents
in this study is similar to rates observed in
research that used a conservative measure of
depression among individuals caring for family
members with disabilities (15.7% among indi-
viduals caring for family members with spinal
cord injuries; Dreer et al., 2007), and substan-
tially lower than studies that used more liberal,
nonspecific measures to determine depression
status (48% among family caregivers of persons
with traumatic brain injuries, Rivera et al.,
2007; 38% among family caregivers of stroke
survivors, Grant et al., 2004). Collectively, the
results of the present study imply that parents
raising children with disabilities may be at
higher risk for depression than the general pub-
lic, but this risk may not be as high has some
studies have suggested.
The present study underscores the need for
the use of measures that closely adhere to es-
tablished criteria for diagnosing depression. The
PHQ9 is strictly modeled after the DSM–IV
depression criteria. Although not a stand alone
diagnostic tool, the PHQ9 was designed to spe-
cifically detect the presence of possible mood
psychopathology (i.e., clinical depression) and
not simply general emotional maladjustment
(i.e., mild anxiety or stress). Past studies pro-
vide support for this explanation. Dreer et al.
(2007) hypothesized that many studies of fam-
ily caregiver depression may base depression
prevalence rates from data obtained from non-
specific measures of distress. As a result, past
studies of parents of children with disabilities
may not have actually measured clinical depres-
sion but rather a nonspecific emotional distress.
This could account for the wide variation in
depression prevalence rates in past research.
The two groups of parents did not differ
significantly on any of the demographic vari-
ables in any of the mean difference analysis.
Furthermore, indicators of child disability se-
verity did not distinguish the two depression
risk groups. Based on these findings, demo-
graphic variables and child disability character-
istics may not be the best indicators of parent
risk for depression. In the past, such inferences
may have contributed to a negative view of
having a child with a disability. Evidence con-
tinues to suggest that parental maladjustment is
often more associated with variables not related
to the child but instead to problems accessing
information, resources, and environmental/
social supports (Green, 2007;Resch et al.,
2010;Worcester et al., 2006).
Consistent with the Elliott and Mullins
(2004) conceptualization of family adjustment
following disability, parent appraisals of their
situation were significantly associated with their
depression status. Parents at risk for depression
may have negative beliefs and fears about the
potential for harm posed by the challenges of
raising a child with a disability. Appraisals of
positive growth had no appreciable contribution
to the prediction of depression status, and con-
trary to prior work, neither did parent problem-
solving abilities. The results of the present study
imply that parents who are primed to interpret
stressful circumstances and events as poten-
tially threatening may be more likely to report
other symptoms characteristic of a major de-
pressive disorder.
Family satisfaction and physical health ap-
pear to have greater influence on parental de-
pression than the social–cognitive variables
contained in the third block of the equation. The
relationship between parental physical health
and depression may reflect, in part, a circular
relationship: It is well established that individ-
uals who care for a family member with a
disability, in general, are at risk for poor health
that subsequently increases their risk for psy-
chological problems (Vitaliano, Zhang, & Scan-
lan, 2003). A few studies have indicated a
relationship likely exists between family sat-
isfaction and overall parental adjustment, but
the family side of having a child with a dis-
ability has traditionally been neglected in re-
search (Ones, Yilmaz, Cetinkaya & Caglar,
2005). This is troubling because the unit of
society most affected by having a child with a
disability is the family and high satisfaction
with family functioning has been shown to be
Table 3
Classification Matrix for Prediction of Depression
Risk Status
Predicted group
Observed group Low risk High risk % Accurate
Not depressed 58 18 76.3%
Depressed 3 15 83.3%
Total percent accuracy 77.7%
associated with increased coping and more pos-
itive appraisals (Failla & Jones, 1991). The mar-
ital relationship, in particular, may be especially
important for positive child adjustment (Carr &
Springer, 2010).
Several important limitations should be men-
tioned when interpreting these results. This
study used the cut-off of 10 on the PHQ9 to
determine depression risk status for this sample,
and this could be construed as a liberal de-
pression cut-off point. Notably, however, past
studies have demonstrated that using the 10
cut-off point is equally useful as a more so-
phisticated PHQ9 scoring algorithm (Gilbody,
Richards, Brealey, & Hewitt, 2007). Moreover,
individuals with scores at or above this cut-off
point have been shown to be significantly more
likely to be diagnosed with depression follow-
ing a more in-depth clinical interview by a
mental health professional that those scoring
below the cut-off (Kroenke et al., 2001). Gil-
body et al. (2007) also found that for a commu-
nity (nonclinical) sample such as that studied
here, an even lower cut-off score (9) may be
most appropriate. Given the cross-sectional na-
ture of this study, no statements about causality
can be made. The analytical model used here
found several predictors of depression status in
this sample of parents, but prediction in this
model should not be confused with causality in
the general population of parents raising chil-
dren with disabilities.
An additional limitation of this study is that
the majority of the sample was Caucasian, ed-
ucated, and living in mostly nonrural areas of a
single state. Importantly, no data regarding
family size or of child externalizing behavior
problems were collected. As this study dem-
onstrated, family satisfaction has a strong rela-
tionship with parental emotional wellbeing and
understanding the role of family size on this
relationship may be an important variable not
included in this study. Additionally, child ex-
ternalizing behavior problems have been asso-
ciated with parent distress in prior research
(Blacher, Neece, & Paczkowski, 2005), and
with parent requests for formal personal care
assistance in the home (Fournier et al., 2010)
and of personal care hours authorized by Med-
icaid caseworkers (Elliott et al., 2011). Future
study of parent depression should include indi-
cators of child externalizing behavior problems.
Finally, possible differences due to the parent
and/or gender of the child with the disability
were not included in this study. Future research
should attempt to capture these potential differ-
ences as they may, for example, shed additional
light on the unique challenges and perspectives
faced by fathers of children with disabilities.
Despite these limitations, the findings of this
study are informative for researchers, policy-
makers, educators, clinicians, and families of
children with disabilities. Research that builds
on these findings will continue to uncover pos-
sible predictors of parental depression that will,
in turn, inform health and education policy de-
cisions designed to assist these families.
Anderson, W. P., & Lopez-Baez, S. I. (2008). Mea-
suring growth with the posttraumatic growth in-
ventory. Measurement and Evaluation in Counsel-
ing and Development, 40, 215–227.
Beckman, P. J. (2002). Providing family-centered
services. In M. Batshaw (Ed.), A medical primer
(pp. 683–691). Baltimore, MD: Brookes.
Blacher, J., Neece, C. L., & Paczkowski, E. (2005).
Families and intellectual disability. Current Opin-
ion in Psychiatry, 18, 507–513.
Blucker, R. T., Elliott, T. R., Warren, R. H., &
Warren, A. M. (2011). Psychological adjustment
of family caregivers of children with severe neu-
rodisabilities requiring chronic respiratory man-
agement. Families, Systems & Health, 29, 215–
Breslau, N., Staruch, K. S., & Mortimer, E. A.
(1982). Psychological distress in mothers of dis-
abled children. American Journal of Diseases of
Children, 636, 682–686.
Bristol, M., Gallagher, J., & Schopler, E. (1988).
Mothers and fathers of young developmentally dis-
abled and nondisabled boys: Adaptation and spou-
sal support. Developmental Psychology, 24, 441–
Browne, G., & Bramston, P. (1998). Stress and qual-
ity of life in the parents of young people with
intellectual disabilities. Journal of Psychiatric and
Mental Health Nursing, 5, 415–421.
Carr, D., & Springer, K. W. (2010). Advances in
families and health research in the 21st century.
Journal of Marriage and Family, 72, 743–761.
Demirtepe-Saygili, D., & Bozo, Ö. (2011). Predicting
depressive symptoms among the mothers of chil-
dren with leukaemia: A caregiver stress model
perspective. Psychology & Health, 26, 585–599.
Dreer, L. E., Berry, J., Rivera, P., Snow, M., Elliott,
T. R., Miller, D., & Little, T. D. (2009). Efficient
assessment of social problem-solving abilities in
medical and rehabilitation settings: A Rasch anal-
ysis of the Social Problem-Solving Inventory-
Revised. Journal of Clinical Psychology, 65, 653–
Dreer, L. E., Elliott, T. R., Fletcher, D. C., & Swan-
son, M. (2005). Social problem-solving abilities
and psychological adjustment of persons in low
vision rehabilitation. Rehabilitation Psychology,
50, 232–238.
Dreer, L. E., Elliott, T. R., Shewchuck, R., Berry,
J. W., & Rivera, P. (2007). Family caregivers of
persons with spinal cord injury: Predicting care-
givers at risk for probable depression. Rehabilita-
tion Psychology, 52, 351–357.
Elliott, T. R., & Mullins, L. L. (2004). Counseling
families and children with disabilities. In D. At-
kinson & G. Hackett (Eds.), Counseling diverse
populations, 3rd Ed. (pp. 151–170). New York,
NY: McGraw-Hill.
Elliott, T. R., Phillips, C., Patnaik, A., Naiser, E.,
Fournier, C., Miller, T., Hawes, C., & Dyer, J.
(2011). Medicaid personal care services and care-
givers’ reports of children’s health: The dynamics
of a relationship. Health Services Research, 46,
Failla, S., & Jones, L. C. (1991). Families of children
with developmental disabilities: An examination
of family hardiness. Research in Nursing and
Health, 14, 41–50.
Floyd, F. J., & Gallagher, E. M. (1997). Parental
stress, care demands, and the use of support ser-
vices for school-age children with disabilities and
behavior problems. Family Relations, 46, 359
Fournier, C. J., Davis, M., Patnaik, A., Elliott, T. R.,
Dyer, J. A., Jasek, E., & Phillips, C. D. (2010).
Modeling caregivers’ perceptions of children’s
need for formal care: Physical function, intellec-
tual disability level, and behavior. Disability and
Health Journal, 3, 213–221.
Gilbody, S., Richards, D., Brealey, S., & Hewitt, C.
(2007). Screening for depression in medical set-
tings with the Patient Health Questionnaire (PHQ):
A diagnostic meta-analysis. Journal of General
Internal Medicine, 22, 1596–1602.
Glidden, L. M., & Floyd, F. J. (1997). Disaggregating
parental depression and family stress in assessing
families of children with developmental disabili-
ties: A multisample analysis. American Journal of
Mental Retardation, 102, 250–266.
Glidden, L. M., & Schoolcraft, S. A. (2003). Depres-
sion: Its trajectory and correlates in mothers rear-
ing children with intellectual disability. Journal of
Intellectual Disability Research, 47, 250–263.
Gotlib, I. H., Lewinsohn, P. M., & Seeley, J. R.
(1995). Symptoms versus a diagnosis of depres-
sion: Differences in psychosocial functioning.
Journal of Consulting and Clinical Psychology,
63, 90–100.
Grant, J. S., Bartolucci, A., Elliott, T. R., & Giger,
J. N. (2000). Sociodemographic, physical, and
psychosocial characteristics of depressed and non-
depressed family caregivers of stroke survivors.
Brain Injury, 14, 1089–1100.
Grant, J. S., Weaver, M., Elliott, T. R., Bartolucci,
A., & Giger, J. N. (2004). Family caregivers of
stroke survivors: Characteristics of caregivers at
risk for depression. Rehabilitation Psychology, 49,
Green, S. E. (2007). “We’re tired, not sad”: Benefits
and burdens of mothering a child with a disability.
Social Science and Medicine, 64, 150–163.
Hastings, R. P. (2002). Parental stress and behaviour
problems of children with developmental disabil-
ity. Journal of Intellectual and Developmental
Disability, 27, 149–160.
Hoyt, W. T., Imel, Z. E., & Chan, F. (2008). Multiple
regression and correlation techniques: Recent con-
troversies and best practices. Rehabilitation Psy-
chology, 53, 321–339.
Johnson, C. L., Resch, J. A., Villarreal, V., Elliott,
T. R., Kwok, O.-M., Berry, J. W., & Underhill,
A. T. (2010). Family satisfaction predicts life sat-
isfaction trajectories over the first five years after
traumatic brain injury. Rehabilitation Psychology,
55, 180–187.
Kroenke, K., Spitzer, R. L., & Williams, J. B. W.
(2001). Validity of a brief depression severity in-
ventory. Journal of General Internal Medicine, 16,
Kronenberger, W. G., & Thompson, R. J. (1992).
Medical stress, appraisal stress, and the psycholog-
ical adjustment of mothers of children with myelo-
meningocoele. Journal of Developmental and Be-
havioural Pediatrics, 13, 405–411.
Lightsey, O. R., & Sweeney, J. (2008). Meaning in
life, emotion-oriented coping, generalized self-
efficacy, and family cohesion as predictors of fam-
ily satisfaction among mothers of children with
disabilities. The Family Journal: Counseling and
Therapy for Families and Couples, 16, 212–221.
Minnes, P. M. (1988). Family stress associated with
a developmentally handicapped child. Interna-
tional Review of Research in Mental Retardation,
15, 195–226.
National Institute of Mental Health. (2010). The
numbers count: Mental disorders in America. Re-
trieved at
Noojin, A. B., & Wallander, J. A. (1997). Perceived
problem-solving ability, stress, and coping in
mothers of children with physical disabilities: Po-
tential cognitive influences on adjustment. Inter-
national Journal of Behavior Medicine, 4, 415–
Olson, D. H., & Wilson, M. (1982). Family invento-
ries: Inventories used in a national survey of fam-
ilies across the family life cycle. In D. H. Olson, H.
I. McCubbin, H. Barnes, A. Larsen, M. Muxen, &
M. Wilson (Eds.), Family social science (pp. 25–
31). St. Paul, MN: University of Minnesota.
Olsson, M. B., & Hwang, C. P. (2001). Depression in
mothers and fathers of children with intellectual
disability. Journal of Intellectual Disability Re-
search, 45, 435–443.
Ones, K., Yilmaz, E., Cetinkaya, B., & Calgar, N.
(2002). Assessment of the quality of life of moth-
ers of children with cerebral palsy (primary care-
givers). Neurorehabilitation and Neural Repair,
19, 232–237.
Pakenham, K. I. (2001). Application of a stress and
coping model to caregiving in multiple sclerosis.
Psychology, Health and Medicine, 6, 13–27.
Patnaik, A., Elliott, T. R., Fournier, C., Naiser, E.,
Moudouni, D., Miller, T.,...Phillips, C. (2011).
Severity of children’s intellectual disabilities and
Medicaid personal care services. Rehabilitation
Psychology, 56, 383–390.
Perlesz, A., Kinsella, G., & Crowe, S. (2000). Psy-
chological distress and family satisfaction follow-
ing traumatic brain injury: Injured individual and
their primary, secondary, and tertiary carers. Jour-
nal of Head Trauma Rehabilitation, 15, 909–929.
Phillips, C., Patnaik, A., Dyer, J., Naiser, E., John-
son, J., Fournier, C., & Elliott, T. R. (2011). Reli-
ability and functional status measurement (ADLs)
for children with special health care needs
(CSHCN) living in the community. Disability and
Rehabilitation, 33, 2013–2022.
Probst, J. C., Laditka, S. B., Moore, C. G., Harun, N.,
Powell, M. P., & Baxley, E. G. (2006). Rural-
urban differences in depression prevalence: Impli-
cations for family medicine. Family Medicine, 38,
Reinhard, S. C., Kassner, E., & Houser, A. (2011).
How the Affordable Care Act can help move states
toward a high-performing system of long-term ser-
vices and supports. Health Affairs, 30, 447–453.
Resch, J. A., Mireles, G., Benz, M. R., Zhang, D.,
Peterson, R. L., & Grenweldge, C. (2010). Giving
parents a voice: A qualitative study of the chal-
lenges experienced by parents of children with
disabilities. Rehabilitation Psychology, 55, 139
Rivera, P., Elliott, T. R., Berry, J. W., Grant, J. S., &
Oswald, K. (2007). Predictors of caregiver depres-
sion among community-residing families living
with traumatic brain injury. NeuroRehabilitation,
22, 3–8.
Singer, G. (2006). Meta-analysis of comparative
studies of depression in mothers of children with
and without developmental disabilities. American
Journal of Mental Retardation, 111, 155–169.
Stanton, A. L., & Snider, P. R. (1993). Coping with
a breast cancer diagnosis: A prospective study.
Health Psychology, 12, 16–23.
Tedeschi, R. G., & Calhoun, L. G. (1996). The post-
traumatic growth inventory: Measuring the posi-
tive legacy of trauma. Journal of Traumatic Stress,
9, 455–471.
Veisson, M. (1999). Depression symptoms and emo-
tional states in parents of disabled and non-
disabled children. Social Behavior and Personal-
ity, 27, 87–98.
Vitaliano, P. P., Zhang, J., & Scanlan, J. (2003). Is
caregiving hazardous to one’s physical health? A
meta-analysis. Psychological Bulletin, 129, 946
Ware, J. E., Jr., Kosinski, M., & Keller, S. D. (1996).
A 12 item short form health survey: Construction
of scales and preliminary tests of reliability and
validity. Medical Care, 34, 220–233.
Weihs, K., Fisher, L., & Baird, M. (2002). Families,
health and behavior. Families, Systems, & Health,
20, 7–46.
Worcester, J. A., Nesman, T. M. Raffaele Mendez,
L. M., & Keller, H. R. (2008). Giving voice to
parents of young children with challenging behav-
ior. Exceptional Children, 74, 509–525.
Received January 12, 2012
Revision received August 22, 2012
Accepted September 4, 2012
... caregivers of children with disabilities, finding that 58% of the studies reported that caregivers of children with disabilities do not meet the PA guideline (Ku & Sung, 2021). In addition, caregivers of children with disabilities are a group that needs the benefits of PA participation because of their poor physical and psychological health (Defenderfer et al., 2017;Pinquart, 2018;Resch et al., 2012;Vasilopoulou & Nisbet, 2016). ...
... These challenges may adversely influence psychological and physical health in caregivers of children with disabilities (Gallagher & Whiteley, 2013;Hayes & Watson, 2013;Miodrag et al., 2015). Common psychological health problems reported by caregivers of children with disabilities include but are not limited to high levels of stress (Hayes & Watson, 2013;Miodrag et al., 2015;Pinquart, 2018), depression (Pinquart, 2018;Resch et al., 2012;Singer, 2006), and low quality of life (Defenderfer et al., 2017;Vasilopoulou & Nisbet, 2016). ...
Background Caregivers of children with disabilities often experience poor health. One way for caregivers to promote their own health may be to participate in physical activity (PA). Aims The purpose of this study was to examine the association between PA and psychological and physical health problems in caregivers of children with disabilities. Methods 2018 National Health Interview Survey (NHIS) data was used, and 890 household representatives were identified as caregivers of children with disabilities. Based on the national PA guidelines, caregivers were classified into three groups: inactive (IA), aerobically active (AA), and aerobically and muscularly active (AMA). Results Multivariable logistic regression indicated that the AMA group had a lower likelihood of reporting depression compared to the IA group (OR: 0.73 [95% confidence interval: 0.54, 0.98]). The AMA group also had a lower likelihood of reporting back pain and obesity compared to the IA group (OR:0.69 [95% confidence interval: 0.56, 0.84] and OR:0.63 [95% confidence interval: 0.52, 0.76], respectively). Conclusions The results of the current study suggest that caregivers of children with disabilities may benefit from PA, especially from the combination of aerobic and muscle-strengthening PA.
... DDs are health conditions that develop at birth and can include mild to profound intellectual disability, impaired speech, emotional dysregulation, and/or motor dysfunction (3,4). These health conditions often have significant effects on children's abilities to take part in community activities (5)(6)(7), which may contribute to an increased risk of health problems (e.g., depression or social isolation) prevalent among children with DD and their families (8)(9)(10)(11). ...
... This will help determine whether the effect of OPC on goal achievement could translate into improvement in parents' emotional states and their child's health-related quality of life. The improvement in these areas is crucial given that disability could impede children's participation, which in turn affect quality of life and parents' emotional status (8,10,11). Previous case studies found that, after OPC, parents developed insights about their children's difficulties and learnt strategies to improve the children's physical wellbeing (42). The parents also demonstrated less stress, anxiety, and depression as they felt understood and supported by coaches (36,42). ...
Full-text available
Background: High rates of restricted community participation have been reported in young children with developmental disabilities. Occupational performance coaching (OPC), grounded in self-determination theory, aims to facilitate children's participation in life situations through coaching parents. However, there have been limited randomized controlled trials demonstrating the efficacy of OPC, especially with a specific focus on children's community participation. The proposed study is the first step in evaluating the feasibility and acceptability of conducting a pilot randomized controlled trial of OPC in Hong Kong and testing its initial efficacy (in comparison to parent consultation) in promoting children's community participation. Method/Design: A feasibility and pilot double-blind randomized controlled trial will be undertaken. Fifty children aged 6 years or below with developmental disabilities and their parents will be recruited from early intervention centers and/or through social media in Hong Kong. Parents will be randomly assigned to receive OPC or consultation, and will be blinded to group allocation. Outcomes will be assessed by blinded assessors at baseline, pre-intervention, post-intervention, and follow-up. Predetermined success criteria will be used to assess the feasibility of the trial. Qualitative interviews will be conducted with parents to explore the acceptability and perceived impact of OPC. Discussion: This trial will test whether the study protocol and OPC are feasible and acceptable, as well as assess the initial efficacy of OPC to obtain effect size estimates. The results of the trial will inform future preparations for conducting a full-scale efficacy trial of OPC. Trial Registration: , U.S. National Library of Medicine, National Institutes of Health (#NCT04796909), Registered on 15th March 2021.
... A QV alterada foi identificada em mais da metade dos pais e foi correlacionada ao baixo nível de escolaridade, socioeconômico, ausência de trabalho e presença de outra deficiência na família. Resch et al. (2012) ...
... Essas mães também sentem ansiedade e culpa em relação aos outros filhos, sem deficiência, pois são eles que, muitas vezes, assumem os cuidados do irmão com deficiência e não é raro senti-los ressentidos (Taylor et al., 2010). A satisfação familiar e a saúde física foram os fatores que obtiveram a maior relação com o sintoma depressivo (Resch et al., 2012). ...
Full-text available
Quando nasce uma criança com deficiência, é necessária a reidealização do filho para que os pais possam lidar com as suas limitações e atender as suas demandas, resultando em uma adaptação parental adequada ao filho real. O presente artigo objetivou realizar uma revisão sistemática sobre a adaptação parental. Para tanto, investigaram-se as bases de dados Pubmed, BVS, Scopus e Cochrane, utilizando os termos Family adaptation, family impact, disabled children, no período de agosto a setembro de 2017. Foram analisados 21 artigos completos. Os resultados apontam que as famílias com um(a) filho(a) com alguma deficiência enfrentam inúmeros desafios, afetando diretamente a adaptação familiar e as estratégias de enfrentamento. Foram elaboradas três categorias para apresentar os resultados: impacto familiar ante o diagnóstico da deficiência; estados emocionais parentais e consequências sociais; fatores que interferem na adaptação familiar e nas estratégias de enfrentamento. Foi possível concluir que são aspectos centrais na adaptação parental: a) a identificação precoce de fatores positivos e negativos que impactam no processo de reidealização do filho; b) a abordagem interventiva precoce centrada na família, que considere esses fatores objetivando a busca de um enfrentamento focado na resolução de problemas; c) a criação de condições sociais de apoio às famílias.
... Notably, evidence from prior studies has indicated that depression is associated with poor physical health (Moussavi et al., 2007). Poor physical health is undeniably related to depression found among parents caring for individuals with disabilities (Resch et al., 2012). Thus, pains, emotional distress, and depression are common among parents of children with varied disabilities (Ayers, 2012;Bonis, 2016;Hodapp & Dykens, 1997). ...
Full-text available
A good number of parents of children with Down syndrome are prone to depressive disorders. The depressive feelings are attributed to negative perceptions of the situation, self, and the future. Given this, we explored the impact of the family health model of rational-emotive behavior therapy on depressive symptoms in parents of children with intellectual disability of Down syndrome in the COVID-19 pandemic era. This is a randomized pretest–posttest control group design that recruited 88 parents of children with intellectual disability of Down syndrome. We measured the depressive symptoms in parents at Time 1, Time 2, and Time 3 using the Beck depressive inventory and Hamilton depression rating scale. We adopted a family health model rational emotive behaviour therapy intervention in treating the depressive symptoms affecting the parents. The analysis of covariate results showed that at initial assessment there was no significant difference between the treatment group and comparison group at baseline evaluation of depressive symptoms in participants. At the posttest, it had a significant effect on the intervention on participants’ depressive symptoms. Likewise, a follow-up result still shows that intervention had a significant effect on participants’ depressive symptoms of participants. In conclusion, this study suggests that treatment variable accounted for the effect in decreasing depressive symptoms scores of participants.
... Specifically, a survey on caregivers of people with developmental disabilities reported that 52% of guardians of children with disabilities received a diagnosis of suspected depression. Another study suggested that 19% of parents of children with disabilities were found to be depressed [17]. Among them, mothers who have been primary caregivers of children [18] and form strong emotional relationships with their children [19] are more impacted by their children's disabilities than any other family members. ...
Full-text available
Purpose: Mothers caring for children with disabilities often experience parental stress, which may lead them to suffer from depression. It is necessary to find a way to relieve their stress and depression. Therefore, we examined the effect of parental stress on depression and the buffering role of social support between them in a sample of 164 mothers of children with disabilities. Participants. One hundred and sixty-four participants (aged 25-58 years) in Gwangju and Jeollanamdo, South Korea, completed a set of self-reported measures. Methods: Parental stress, depression, and social support are assessed by Parental Stress Index, Multidimensional Scale Perceived Social Support, and Center for Epidemiological Studies Depression Scale, respectively. Results: Parental stress significantly predicted depression, and social support showed the buffering effect on the relationship between parental stress and depression among mothers of children with disabilities. These findings indicate that mothers who perceive a high level of social support are less likely to experience depression. Conclusions: This study shows the moderating effect of social support on the relationship between parental stress and depression among mothers of children with disabilities. The level of depression they experience is not that great if they perceive a high level of social support even if they experience a high level of parental stress. These findings imply that social support is a critical resource that prevents the negative effect of parental stress on depression among mothers of children with disabilities.
... In this review mothers made up most of the participant group (184 out of the 226 participants) and, although the intention was not to focus specifically on the experience of mothers, the reviewers acknowledged a dichotomy between the roles of mothers and fathers (Elangkovan & Shorey, 2020, p. 737). Other studies have demonstrated that mothers of children with disabilities experience higher stress than fathers and are at greater risk of anxiety, depression, lower psychological wellbeing, and decreased health (Crettenden et al., 2018;Resch et al., 2012;Rudebeck, 2020). Further, mothers must balance the role of parent and therapist, to provide care for a child that may require lifelong attention and rehabilitation. ...
Full-text available
Aim To explore, synthesise and present findings of qualitative studies describing the experiences of mothers raising a child with cerebral palsy. Design A systematic literature review of the qualitative evidence. Methods A systematic search for qualitative studies published in the following databases: CINAHL (EBSCO), Medline via OVID, SCOPUS, and Google Scholar. The authors independently assessed eligibility, appraised methodological quality using the Critical Appraisal Skills Program tool for qualitative Research (CASP). An inductive thematic analysis method was adopted to synthesise major findings and to construct core concepts and themes. Results Five overarching themes reflecting the experiences and perceptions of mothers raising and caring for a child with cerebral palsy are developed: 1) adapting and making sacrifices; 2) guilt and cultural blame; 3) social stigma and marginalisation; 4) physical, environmental, and financial challenges and 5) healthcare experiences.
... It is well established that parenting children with intellectual and developmental disabilities (IDD) can impact parent mental health. Parents of children with IDD have been found to experience clinically significant levels of depression and increased rates of anxiety and stress (Azeem et al., 2013;Hauser-Cram et al., 2001;Resch et al., 2012), which may in part be due to a higher caregiving demand (Hauser-Cram et al., 2001;Woodman, 2014). The diagnosis of anxiety, depression, or both in mothers has been associated with the severity of a child's disability (Azeem et al., 2013), and mothers of children with IDD can experience higher levels of depression than mothers of children without disabilities (Singer, 2006). ...
Full-text available
Introduction: Parenting children with intellectual and developmental disabilities can be stressful; however, families with religious beliefs may have positive ways of viewing their family. This study explored the associations between religious and spiritual involvement (RSI), family characteristics, parent mental health, and child adaptive and problem behaviors among 180 primary caregivers and their 3-year-old children with developmental delay (DD). Method: This study investigated if RSI was related to family characteristics, parent depression and stress, and if RSI predicted parent mental health after accounting for child and family characteristics. Results: Associations between RSI, family characteristics (parent age, education, income) and parenting stress, but not depression, were found. RSI did not predict parent mental health after accounting for relevant child and family characteristics. Conclusion: RSI may play an important role in the mental health of parents of children with developmental delay; however, other child and contextual factors relate strongly to parent wellbeing.
... The results of this study indicate that caring for children with developmental disabilities can be challenging and time consuming for parents. The expected correlation between variables was further consistent with previous studies that found a negative relationship between caregiving burden and life satisfaction (Burgener & Twigg, 2002;Haley et al., 2003;Meyers & Gray, 2001), as well as depression and life satisfaction (Resch et al., 2012), and a positive relationship between caregiving burden and depression (Brehaut et al., 2009). These relations among the variables were also reported in South Korea (Nam & Park, 2017;Oh & Lee, 2009;Park & Kim, 2019). ...
Social support refers to people’s interpersonal relationships and is a potentially powerful mediator for caregivers’ life satisfaction. This study examined the relationships between parental caregiver burden, depression, social support, and life satisfaction. It compared these relation variables between parents of preschool- and school-aged children, as mediator effects of social support may differ across age ranges. Data were used from the Ministry of Health and Welfare of Korea’s research on support services and policies for people with brain lesions. Parental caregivers of preschool- ( n = 93) and school-aged ( n = 91) children participated in this study. A multigroup analysis indicated a significant negative relationship between caregiving burden and depression with social support and parental life satisfaction and a significant positive relation for social support with life satisfaction for the overall group, preschool- and school aged. Social support was a mediator for each group; however, the regression weight differed between preschool- and school-aged children’s parents. The study confirms the importance of caregivers’ social support and suggests a need for family support strategies that account for children’s ages.
... The Beck Depression Scale, Patient's Health Questionnaire (PHQ-9), and Children's Depression Inventory (CDI) were used to assess the depression of the disabled children or their guardians, having reported the rate of depression is 19% to 47.5%. [24][25][26][27] In our study, 262 subjects were younger than 48 years old, among which 87 people had depressive symptoms (33.2%). Therefore, we believe that the depressive symptoms of younger disabled people and their guardians are high detected. ...
Full-text available
Depression has become a growing health issue in the world and is projected to become a leading cause of global burden. However, there is little scientific research on the factors associated with depression in people with disabilities in China. In this cross-sectional study, we aimed to explore the prevalence and related factors of depression among people with disabilities in communities in mainland China.Participants with disability certificates were recruited via face-to-face interviews to complete questionnaires. Contents include participants' demographic characteristics, the Modified Barthel Index (MBI), chronic medical history, and the Patient Health Questionnaire-9 (PHQ-9).A total of 1815 participants (M age = 60.35 ± 13.66) whose questionnaires are eligible were finally included. Among them the incidence rate of depressive symptoms was up to 39.9%. Multifactor regression analysis showed that grade I disability (odds ratio (OR) = 1.37, P < .05), impairment activities of daily living (OR = 3.23, P < .001), diabetes (OR = 1.43, P < .05), and hyperlipidemia (OR = 1.59, P < .001) were associated with depression in the disabled. However, intelligence disability is a protective factor of depression (OR = 0.69, P < .05).The data demonstrates that the depression of the disabled should arouse the attention of our society. Furthermore, the interventions to disability degree, impairment activities of daily living, diabetes, and hyperlipidemia may help to improve the mental health of the disabled people.
Parents are faced with numerous life demands, and all parents, regardless of their parenting experience, can become stressed. Balancing professional, familial, and financial demands with the daily stressors from parenting can have a negative effect on their overall health (Schneiderman et al, Annu Rev Clin Psychol 1:607–628, 2005) and have a trickle-down effect on their families. When parents struggle to cope with these stressors, their parent practices and relationships (Weitlauf et al, Autism 18(2):194–198., 2014) are impacted, resulting in negative mental and physical health outcomes for the child and family unit. Parents can become immensely overwhelmed by their child’s experiences resulting in parent anger, anxiety, and/or depressed mood.
Full-text available
Regression methods were used to select and score 12 items from the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) to reproduce the Physical Component Summary and Mental Component Summary scales in the general US population (n = 2,333). The resulting 12-item short-form (SF-12) achieved multiple R squares of 0.911 and 0.918 in predictions of the SF-36 Physical Component Summary and SF-36 Mental Component Summary scores, respectively. Scoring algorithms from the general population used to score 12-item versions of the two components (Physical Component Summary and Mental Component Summary) achieved R squares of 0.905 with the SF-36 Physical Component Summary and 0.938 with the SF-36 Mental Component Summary when cross-validated in the Medical Outcomes Study. Test-retest (2-week) correlations of 0.89 and 0.76 were observed for the 12-item Physical Component Summary and the 12-item Mental Component Summary, respectively, in the general US population (n = 232). Twenty cross-sectional and longitudinal tests of empirical validity previously published for the 36-item short-form scales and summary measures were replicated for the 12-item Physical Component Summary and the 12-item Mental Component Summary, including comparisons between patient groups known to differ or to change in terms of the presence and seriousness of physical and mental conditions, acute symptoms, age and aging, self-reported 1-year changes in health, and recovery from depression. In 14 validity tests involving physical criteria, relative validity estimates for the 12-item Physical Component Summary ranged from 0.43 to 0.93 (median = 0.67) in comparison with the best 36-item short-form scale. Relative validity estimates for the 12-item Mental Component Summary in 6 tests involving mental criteria ranged from 0.60 to 1.07 (median = 0.97) in relation to the best 36-item short-form scale. Average scores for the 2 summary measures, and those for most scales in the 8-scale profile based on the 12-item short-form, closely mirrored those for the 36-item short-form, although standard errors were nearly always larger for the 12-item short-form.
The Posttraumatic Growth Inventory (PTGI; R. G. Tedeschi & L. G. Calhoun, 1996) was used to measure the growth of university students (N = 347). Results were compared with those of trauma studies and indicate that the PTGI is a general measure of growth suitable for future nontrauma studies. Results reflect a minimal relationship between growth and stress.
Data were obtained from mothers and fathers of children (N = 231) with mental retardation (MR) or chronic illness (CI), and a nondisabled behavior-problems sample. Mothers identified fewer behavior problems in children with MR and more in children with CI than did teachers. The presence of significant behavior problems was more important than disability type in determining most forms of parental stress, and predicted mental health services use. MR group parents worried most about providing ongoing care into adulthood. Single mothers were not more stressed, but used more services than two-parent families. The results call for a wider array of community and family support services that target children with disabilities who have behavior problems.
Conference Paper
Understanding the personal care needs of children with special health care needs (CSHCN) living in the community demands a reliable picture of their ability to perform activities of daily living (ADLs). This research investigated what factors affect inter-rater reliability when two assessors attempt to record the functional abilities of CSHCN living in the community. The data are dual assessment information on 236 community-dwelling CSHCN seeking or receiving Medicaid Personal Care Services (PCS) in a single southwestern state. These data were collected in 2007 in dual assessments performed by master's trained social workers or registered nurses using a standardized, multidimensional assessment instrument. The results indicated that the level of disagreement on functional status is not affected by assessors or the environment. It is strongly affected by the child's underlying level of ADL impairment. Assessments of those children who were the most or least impaired exhibit the greatest agreement. It was when assessors faced children with moderate to moderately severe impairment that one finds the greatest disagreement. Also, specific ADLs where the greatest and least agreement were observed varied by level of impairment. This analysis emphasized the importance of the measurement of functional status for CSHCN. For a wide range of programs and services, precise measures of function are increasingly important.
Objective: While considerable attention has focused on improving the detection of depression, assessment of severity is also important in guiding treatment decisions. Therefore, we examined the validity of a brief, new measure of depression severity. Measurements: The Patient Health Questionnaire (PHQ) is a self-administered version of the PRIME-MD diagnostic instrument for common mental disorders. The PHQ-9 is the depression module, which scores each of the 9 DSM-IV criteria as "0" (not at all) to "3" (nearly every day). The PHQ-9 was completed by 6,000 patients in 8 primary care clinics and 7 obstetrics-gynecology clinics. Construct validity was assessed using the 20-item Short-Form General Health Survey, self-reported sick days and clinic visits, and symptom-related difficulty. Criterion validity was assessed against an independent structured mental health professional (MHP) interview in a sample of 580 patients. Results: As PHQ-9 depression severity increased, there was a substantial decrease in functional status on all 6 SF-20 subscales. Also, symptom-related difficulty, sick days, and health care utilization increased. Using the MHP reinterview as the criterion standard, a PHQ-9 score > or =10 had a sensitivity of 88% and a specificity of 88% for major depression. PHQ-9 scores of 5, 10, 15, and 20 represented mild, moderate, moderately severe, and severe depression, respectively. Results were similar in the primary care and obstetrics-gynecology samples. Conclusion: In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity. These characteristics plus its brevity make the PHQ-9 a useful clinical and research tool.
This chapter provides an overview of the research regarding family responses to a handicapped child using family stress theory as a framework. It focuses upon family coping and family stress and describes the factors, which facilitate family adjustment to a handicapped child. While the stress experienced by mothers, fathers, and siblings of developmentally handicapped children is widely documented in case studies and retrospective personal accounts, the latest research focuses increasingly upon the relationships between family resources, coping strategies, and stress associated with a handicapped child. With the growing need for community based support systems for families of developmentally handicapped children across the life-span, the data gathered from research that takes a multidimensional perspective should be of great value to professionals, caregivers, and parents as the complex relationships among family stress, coping, and adaptation are unravelled.
We review research on families and health published between 2000 and 2009 and highlight key themes and findings from innovative, methodologically rigorous studies. Whereas research in prior decades focused primarily on whether family structure affects child and adult health, contemporary research examines the contextual and processual factors that shape for whom, for which outcomes, and under what conditions families affect mental and physical health. We discuss how family structure, transitions, and processes within families of origin affect children's health over the life course. We then examine the effects of marital status, transitions, and quality for adult health. We point out limitations in current research, discuss implications of recent findings for policy, and highlight theoretical and methodological directions for future research.
The authors tested whether self-efficacy, coping styles, family cohesion, and meaning in life predicted family satisfaction among 64 mothers of children with disabilities. They also examined whether meaning in life mediated the relationship between cohesion and family satisfaction or served as a resource whose effects on family satisfaction were mediated by coping and cohesion. Stress, meaning in life, emotion-oriented coping, and family cohesion predicted 31% of the variance in family satisfaction. Family cohesion fully mediated the relationships between stress, meaning in life, and emotion-oriented coping on one hand and family satisfaction on the other. Mothers with lower stress exhibited higher meaning; those utilizing less emotion-oriented coping had higher family cohesion. Mothers with higher family cohesion had higher family satisfaction.
This article is a survey of the results of research carried out in Estonia about the depressive symptoms and emotional states among 151 mothers End 57 fathers of disabled children End 101 mothers and 55 fathers of non-disabled children. The results show that parents, especially mothers of disabled children, have significantly more negative emotional states and also significantly more depressive symptoms. Significant differences in depression symptoms between the disabled and control parent group were found in most symptoms. Parents in the control group were significantly more happy, glad, satisfied, proud, grateful, happy for their child, pleased and hopeful.