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The Quality of Life of Iranian Mothers and Fathers of Children with Autism

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28 January 2025

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30 January 2025

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Abstract

Autism is a complex neurodevelopmental condition that has life-long impacts individuals and their families, who are the main care-givers. This study investigated the self-reported quality of life (QoL) of Iranian mothers and fathers and aimed to identify the predictors associated with higher scores on WHO-BREF measure, particularly those related to their child’s autism. Methodology: A cross-sectional study was conducted with two national samples of parents; one in which the mothers and father were related (n=119 families) and a second sample involving 383 unrelated mothers and fathers, making a total of 623 Iranian parents of children with ASD. Participants completed self-report measures assessing QoL, perceived child-rearing stress, social support, and coping strategies as well as pertinent demographic information of themselves and their child. These were chosen on the basis of previous research. Data were analyzed using descriptive statistics and linear regression analysis. Results: There were few significant differences between mothers and fathers in both samples on the various rating scales. Regression analyses identified satisfaction with personal health and with their marriage, along with support from family as the main predictors of higher quality of life ratings. Access to professionals and positive interactions with their children augmented the contribution to parents’ overall quality of life. The children’s autism had minimal direct impact on the parental quality of life although it likely accentuated the importance to parents of the identified predictors. Discussion: The findings support the case for services to adopt a family-centred approach to the supports they provide and for a greater engagement with fathers. Three strands are proposed for future research. Recruiting families who receive little or no support, the identification of strategies for meeting the personal needs of parents and undertaking longitudinal studies of interventions to improve family quality of life and the outcomes these have on the person with autism.

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1. Introduction

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition that significantly impacts individuals and their families and caregivers [1,2,3]. Their social and emotional difficulties have been well documented internationally which make parental caregiving especially challenging, with mothers reporting poorer physical and mental health. Higher levels of stress, anxiety, and depression have been reported especially among mothers [4] along with physical fatigue and burnout [5]. Financial strain and the costs associated with therapies, specialized education, and medical care can be significant [6]. Finally, social isolation due to caregiving responsibilities can limit social interactions and lead to feelings of isolation [7].
Previously, the assumption was parental stress and ill health emanated from their child’s behavioural and emotional difficulties. However, longitudinal research suggests that the relationship is bi-directional, in that parental health makes their children more prone to exhibit behavioural and emotional problems [8]. Up to now, research has focused more on understanding the characteristics of autism from early childhood through to adulthood, while the psychological and emotional of caregivers often remains understudied [9,10]. This oversight is particularly concerning in countries like Iran, where cultural and societal factors can exacerbate the challenges faced by families [11,12,13].
Research into the experiences of mothers and fathers of children with autism is essential for several reasons. Firstly, it sheds light on the unique stressors and challenges that these parents may encounter, such as increased levels of stress, anxiety, and depression [14,15]. Secondly, it helps to identify protective factors, such as social support and effective coping strategies, that can mitigate these negative impacts [16]. Thirdly, it informs the development of targeted interventions and support services that can improve the well-being of both caregivers and individuals with autism [17,18,19]. For example, a child’s behavioural issues may be compounded by parental mental ill-health [20]. Hence interventions need to address parental issues and not focus solely on the child.
Family quality of life is an overarching concept that usefully combines the needs of the individual with autism and those of the wider family members. A systematic review of 12 studies with mostly mothers of children with autism aged up to 18 years, reported poorer QoL among these parents compared to parents of typically developing children or to population norms [21]. The variables that were commonly associated with lower parental QoL included child behavioural difficulties, unemployment, being a mother and lack of social support.
A more recent review of 15 studies undertaken in 10 different countries [22] confirmed the lower quality of life of parents with autism particularly in their physical, psychological, and social health and in spirituality, and the deleterious impact of a child’s behavioural issues. By contrast, better quality of life was associated with less severe autism as was increased family income, a higher level of parent education and access to social supports. Again the informants were mostly mothers. However a study involving 130 matched pairs of mothers and fathers found few differences between fathers and mothers on the impact on the child’s autism on their quality of life [23].
A transnational study involving seven countries examined the quality of life of 1,121 parents of children with autism [24]. The countries varied in the way the various domains of quality of life were rated which the authors suggested, illustrated cultural differences in how personal wellbeing was construed. They called for greater attention to be paid to socio-cultural influences in future research and more reports from low and middle income countries.
To date, research into family quality of life has been concentrated on high income, English speaking countries. Yet the design of effective, family-centred interventions needs to be attuned to the family culture and the delivery of care to members with additional needs. The nature of caregiving can vary significantly across cultures due to differences in family structures, social support systems, healthcare systems, and cultural beliefs about aging and disability [25]. By examining different cultural contexts, researchers can identify specific challenges faced by caregivers in different societies, such as language barriers, cultural misunderstandings, and limited access to resources [25,26]. Descriptive studies across different cultures would assist in developing culturally sensitive interventions and tailored support to families and to their dependents [27]. By recognizing cultural nuances and communication styles, healthcare providers and social workers can improve communication with caregivers from diverse backgrounds, leading to better care outcomes [28].

1.1. Aims of the Study

This present study aims to address the gaps in current knowledge around family quality of life. First, the focus is on the quality of life of Iranian families caring for a son or daughter with autism from childhood into adulthood. Unlike more developed nations, there is little prospect of persons with autism finding alternative full-time support outside of the family. Second, in other cultures, mothers and women in general play a subservient role to men. Yet the role of fathers and the impact on them of care-giving has been a secondary consideration in much past research internationally, with conflicting evidence about the extent to which their experiences are different or similar to that reported by mothers [29]. Third, the diverse influences on family quality of life identified in previous research need to be considered together in order to identify those that have the greater influence on the family life. This necessities a larger sample of participants from across the country than has been previously recruited in small scale, localised studies.
Thus the main aim of this descriptive study is to identify the major determinants on Iranian mothers’ and fathers’ reports of their quality of life. Those studied included child, parental and family characteristics alongside parental health, stress, coping strategies and access to formal and informal supports; all of which have been implicated in previous research.
Uniquely the study recruited two samples of parents from all 31 Provinces in Iran. One sample of 119 families, obtained reports from both mothers and fathers, which implicitly controls for child and family characteristics that may affect parental ratings of QoL. A second sample obtained reports from 224 mothers and 161 unrelated fathers drawn from the same centres. In all, 623 parents participated in the study.

2. Method

In the absence of any formal ethical procedures in Iran for research outside of universities, ethical considerations based on the WMA Declaration of Helsinki on Medical Research involving Human Subjects revised on 19 October 2013 [30] were fully observed and the arrangements were formally approved by the Iranian Social Welfare Organization (ISWO). Caregivers were provided with a written comprehensive information sheet and a consent form that detailed the purpose of the study, the specific procedures involved, the potential risks and benefits, as well as their right to withdraw from the study at any point without any impact on the services they were receiving. Their written informed consent was obtained by their signature on the designated section of the questionnaires.

2.1. Context

The parents were recruited through the daycare centers for children and young adults with autism under the supervision of the Iranian Social Welfare Organization (ISWO). These centers provide educational and rehabilitation services using multi-disciplinary teams of psychologists, therapists, social work and educationalists. They are privately managed and fees are charged according to family means.
Out of 70 active autism daycare centers across the country, 63 (90%) were considered; at least one from each of the 31 provinces. To encourage parent participation, an information sheet was distributed to suitable families in coordination with the center managers. The inclusion criteria for parents in this study were: caregiving for a child with autism at the time of the study, minimum education level of 9th grade, and willingness to participate in the research. The exclusion criteria included chronic physical illnesses such as cardiovascular diseases, kidney diseases, diabetes, AIDS, as well as the use of psychotropic medications, drug addiction, or other traumatic events during the research period and the previous year. It was indicated that both parents should separately take part.

2.2. Study Sample

At the time of the study, there were 1533 individuals registered in the selected autism centers and an estimated 90% were sent invitations to join the study. In all, 660 parents of agreed to participate but 37 cases were excluded due to incomplete completion of the questionnaire or family circumstances, leaving a final sample size of 623 self-selected parents (an estimated 23% response rate). Since their sons or daughters were from autism centers under the supervision of the ISWO, they were all officially diagnosed as having autism by the ICF Commission of ISWO in their provinces.
Table 1 presents the demographic details of the parents within the two samples as reported by respondents in a self-completion questionnaire devised for the study that drew on likely predictors of quality of life. Statistical tests were used to determine the significance of differences between mothers and fathers in each sample as shown in the Table. In both samples, fathers were older than mothers and much more likely to be employed but in the related sample only, fathers were more satisfied with their health. Mothers in the unrelated sample showed more dissatisfaction with their marriage. On all other indicators there were no differences between mothers and fathers.
Table 2. presents details of the persons with autism in their family as reported by respondents on the demographic questionnaire they completed.
Across all parents, the mean age of their child was 12 years but variously ranged from 4 to 44 years. Around three-quarters were male with around half capable of verbal communication, although this was higher for those in the sample of related parents. Parents reported upwards of two-thirds of their children had behavioural issues and around 40% has sensory issues with no significant differences between ratings of fathers and mothers. Around half the parents rated these issues as moderate and although there were no differences between mothers and fathers, fewer children in the related parents sample rated their children’s difficulties as severe.

2.3. Questionnaires Used

A number of well established, short form questionnaires were identified and which had featured extensively in domestic and international research.
In order to establish the construct validity and internal reliability of the questionnaires when used with the chosen samples, factor analyses were undertaken of each using the total number of respondents in both studies (n=623). Further details are available on request from the authors.

2.3.1. World Health Organization Quality of Life Scale “WHOQOL-BREF” [31]

This questionnaire has been used extensively in many different countries including Iran [32]; where a study with nearly 6,000 cases had confirmed its psychometric properties. Quality of life is defined by WHO “as individuals’ perceptions of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards and concerns.
The questions were taken from a more extensive tool that was designed to represent different domains that contribute to people’s quality of life, namely: physical health, psychological, social relationships and environment. Respondents are asked to rate how much they have experienced certain things in the last two weeks. A five-point Likert scale is presented for each item and responses start with ‘Not at all: A little: A moderate amount; Very much: Extreme Amount’. Scores are assigned from 1 to 5 with higher scores reflective of a higher quality of life (with certain items being reverse coded because of their wording).
The factor analyses on the parental data failed to replicate the four distinct domains underpinning the questionnaire. Rather 21 of the 26 items loaded on one main factor which accounted for 40% of the variance along with three further factors which together added 18% additional variance. On all factors, the items were drawn from two or more of the domains. Moreover most items loaded on two or more of the factors. Hence it was decided to compute one total score calculated across 23 items. Scores could range from 23 to 115 with higher scores indicative of a better quality of life.
Cronbach’s Alpha was used to assess the internal reliability and for this indicator of quality of life, it was 0.933.
Two further items from the questionnaire were also used that employed different rating scales. They were Item 2: ‘How satisfied are you with your health: with ratings starting with ‘very dissatisfied to very satisfied’ and scores ranging from 1 to 5. Also Item 26 which refers to feelings in the last two weeks: ‘How often do you have negative feelings such as blue mood, despair, anxiety, depression’: and ratings ranged from ‘Never to Always’. Scores ranged from 1 to 5 with higher scores indicative of poorer emotional health (see Table 1).

2.3.2. Perceived Stress Scale (PSS) [33]

This widely used 18 item scale is intended to assess stress associated with child rearing as it had previously been translated into Farsi translation [34] as well as with a very large sample of parents of children with intellectual and developmental disabilities [35]. It consisted of two domains: positive and negative aspects of parenting. Sample items would “I enjoy spending time with my child(ren)’ (Positive) and ‘It is difficult to balance different responsibilities because of my child(ren)’. Respondents used a 5-point Likert scale where 1 represents Strongly disagree, 2 is Disagree, 3 is Undecided, 4 is Agree, and 5 is Strongly agree.
A factor analysis with the Iranian sample confirmed two main factors with Factor 1: Positive (34% variance) Factor 2 Negative (14%). Only 14 of the 18 items loaded on these two factors which were then used in computing total scores for parental ratings in this study. The Cronbach Alphas were 0.798 for Positive Parenting and 0.818 for Negative Parenting experiences.

2.3.3. Multidimensional Scale of Perceived Social Support “MSPSS” [36].

This 12 item scale has been used to assess the support provided to persons from three sources: a) Family (e.g., ‘I can talk about my problems with my family’), b) Friends (e.g., ‘I have friends with whom I can share my joys and sorrows’) and c) Significant Other (e.g., ‘There is a special person in my life who cares about my feelings’). Each item was rated on a 5-point Likert-type scale ranging from strongly disagree (1) to strongly agree (5). The scale had been used previously in Iran using the three factors [37]. However with the present sample, a two factor solution emerged: Family plus Special Person (54% variance), and Friends (14%). The Cronbach Alpha=0.913 for Factor 1 and Alpha =0.891 for Factor 2. Total scores were calculated across eight items for Family and special person (range 8 to 40) and four items for Friends (range 4 to 20). The correlation between the two factor scores was r=0.572.
A further measure was added in terms of professional supports that were available to the family, namely a count of the number of different professionals that were accessed in the last year by the family and child, such as consultations with psychiatrist, centre staff, occupational therapist, speech therapist, other therapies (for instance music therapy) and others (as named by respondents). For this sample the scores ranged from 1 to 6.

2.3.4. Multidimensional Coping Inventory (MCI) (Endler & Parker, 1990)

Numerous studies have been conducted internationally using this scale which consists of 48 items and assesses three coping styles which were originally designated as ‘task-oriented’, ‘emotion-oriented’, and ‘avoidance-oriented’ coping. Examples items are: ‘think about the event and learn from my mistakes’ (Task); ‘feel anxious about not being able to cope’ (emotion), and ‘go to a party’ (avoidance). Items are rated on a five-point scale from ‘Never to always’. The scale had been previously used in Iran [37]. However a factor analysis of the ratings given by parents in this study did not confirm the three types of coping as indicated. Each factor contained a mix of items from three different coping styles. However the items did have a face validity so Cronbach Alphas were calculated for the items that are thought to be indicative of different coping styles. They were: Task =0.658; Avoidance =0.642; Emotional=0.749, which are similar or better to that previously reported for an Iranian sample 0.64, 0.61 and 0.60 and respectively [37]. Although the alphas were somewhat weak, total scores were therefore calculated for each respondent’s use of each coping strategy. Across the 16 items for each strategy, these could range from 16 to 80.

2.4. Procedure

Parents who volunteered to take part in the study were invited to a meeting at the centre attended by their son or daughter. The printed questionnaires were explained to families by a center staff member. In some cases, responses were provided in person at the center, but mostly parents took the questionnaires home and personally returned them to the centre after completion. A staff member reviewed with parents any issues or concerns that had arisen when completing the questionnaires and assurances of confidentiality were repeated. Few concerns were raised and the parents seem to have valued the opportunity for them to express their views and experiences.
The information was recorded by the first two authors in an Excel file that was later transferred to the Statistical Package for Social Sciences (SPSS) version 27 for data cleaning and analysis. The analyses were conducted separately for the two samples of parents using parametric and Chi Square Tests or Analysis of Variance were used to identify relationships between the various predictors and the Quality of Life measure. Those which had a statistically significant relationship (p<0.05) were then entered into a Linear Regression to identify those that contributed to the regression model while controlling for the inter-relationships among the predictor variables.

3. Results

Table 3 summarises the mean scores on the questionnaire measures described above for the two samples. In addition, Chi Square tests were used to assess the statistical significance differences between mothers and fathers. The outcomes are noted in the Table
In both samples, fathers rated their quality of life higher than did mothers. However there were no differences in their ratings of supports from family, friends or professionals. Likewise both sets of parents rated themselves similarly on positive and negative stress in child-rearing. Unrelated fathers had higher scores on emotional and task coping strategies but not on avoidance coping. There were no significant differences between related mothers and fathers in the use of coping strategies.
Table 4a presents the correlations between the predictor measures and quality of life ratings for the two samples. There were small but statistically significant relationships between the three forms of support and with positive and negative coping (in the latter the lower scores are linked with higher quality of life scores). However the coping scores were not associated with quality of life scores except in the case of avoidance coping for related parents.
A similar analysis was undertaken to determine if the child and family characteristics were associated with quality of life scores. One-way analyses of variance were used to determine the significance of differences. Table 4 summarises those that were significant, notably parental satisfaction with their health and with their marriage, education level and employment.
However other characteristics were not significantly associated with quality of life scores: parental age, income, type of marriage, negative mood or number of children. Also the age of child with autism, their gender and verbal communication did not affect the quality of life ratings.

3.1. Regression Analyses

The above predictors that had a significant relationship with parental quality of life scores were included in a linear regression analysis to identify those that contributed to the regression model while controlling for the inter-relationships among the predictor variables. This was done in two stages in order to reduce the number of variables in the regression given the size of the samples. Separate regression analyses were first undertaken on the various measures identified in Table 4a and for the parent and child characteristics listed in Table 4b. The variables that had contributed significantly (p<0.05) to either of these regression models were then included in a further regression analysis. Table 5a summarises the final analysis for related parents.
The resulting regression model for the quality of life of related parents was significant (Analysis of Variance: F=16.71, p<.001) and accounted for around 40% of the variance. Higher quality of life was associated with parents’ satisfaction with their marriage and their health, and having support from family and a special person. There was a tendency (p<0.10) also for those who had access to more professionals and who scored higher on positive child care experiences to have higher quality of life scores. Nonetheless a sizeable proportion of the variance on quality of life scores remained unexplained.
The regression model of unrelated parents was also significant (F=20.97, p<0.001) but accounted for a lower amount of the variance around 34%. For this sample too, higher quality of life was associated with parental satisfaction with their marriage and their health, as was having attended higher education, having access to professionals, along with more positive child rearing experiences. There was tendency (p<0.10) for higher quality of life scores to be related to having children with less behaviour issues and having support from friends, As noted above, a larger amount of variance on quality of life scores remained unexplained within this sample, possibly due to the greater heterogeneity of this sample of unrelated parents.
Finally it is worth noting that for both samples, the gender of parents, their educational level, employment, income, family size and negative mood were not related to their quality of life ratings.

4. Discussion

This study had two notable strengths. First, two large samples of parents were recruited from across Iran which uniquely involved a matched sample of mothers and fathers from the same family as well as additional mothers and fathers from different families. This enabled the findings to be replicated in two different samples. Both samples included sizeable numbers of fathers that has been a significant gap in previous research which then enabled comparisons to be made between mothers and fathers.
Second, the large samples enabled a variety of influences that previous studies have identified to be investigated on parental ratings to their quality of life while controlling for the inter-relationships among them which previous research has been unable to do.
The findings in relation to the gaps in the current literature are worth highlighting. Firstly, the three main predictors of Iranian parents’ ratings of their quality of life were the satisfaction with their health and with their marriage, and having support from their families. Other influences were less effective but did augment the contribution to parents’ overall quality of life, such as access to professionals and positive experiences with their children. By contrast, behavioural issues or other autistic features of the children had little influence on these parents quality of life in contrast to past research with families caring for children with autism [21].
Secondly, the differences between fathers and mothers were limited to a few characteristics such as the older age of fathers and being employed. Although fathers in related families rated themselves as having better health, and those in unrelated families had higher satisfaction in their marriage, these did not feature as significant influences on their quality of life ratings in that gender did not contribute significantly in the regression models. Perhaps this is a reflection of Iranian culture that fathers are expected to be more supportive of the family and its weaker members in particular [39].
Thirdly, although poorer health was a dominant predictor of quality of life in the Iranian general population [40], other variables that had been found to be associated with quality of life in Iran as well as internationally did not impact on the parent’s ratings in this study, such as educational level, employment, income and family size. One interpretation could be that the presence of a child with autism augments the contribution of enjoying a satisfactory marriage, receiving support from families and having access to professionals. When these are diminished or absent, then the quality of their lives is diminished despite the parents’ social and economic status that features in population studies into quality of life.

4.1. Implications for Support Services

These finding have implications for the supports provided by clinicians and centres to Iranian families in particular but also regionally if not internationally. They augment the case for primary care and specialist services to adopt a family-focus and not solely a child focus to their supports [41]. In particular, engaging with fathers as well as mothers in the interventions and supports they and the family provide to the child. Also encouraging the parents to seek support from other family members such as grandparents and siblings, but if they are not available or willing to assist, then from friends. Centre staff could encourage friendship networks among parents attending the same facility and living in the same neighbourhood. Such parent-to-parent initiatives have proved to be very helpful to many but admittedly not all parents [42].
A further dimension that primary care and specialist services should consider is attending to the health needs of mothers and fathers. At a minimum this might consist of enquiring about their physical and emotional wellbeing and attentively listening to their responses. A further step could be giving them information about available services in their locality or providing some written or internet resources for them. More direct support could come from creating opportunities from groups of parents to meet over a number sessions to focus on issues such as stress and coping strategies. Often fathers miss out on such sessions but having ‘men-only’ sessions in evening time with male facilitators, if available, has been a fruitful strategy [43].
Another boost to family quality of life comes through promoting more positive parent-child interactions by identifying mutually enjoyable activities for use at home and advice on minimizing any behavioural or sensory issues or sleep problems [44]. Visits to the family home will help professionals to attune their advice and plans to the physical and social environment of the home.
The parents in this study do not seem to use a consistent coping strategy; particularly the use of a task- or problem-solving approach - which have been more productive - rather than emotional or avoidance strategies [23]. Indeed only 13% of parents in this study used the former to a greater extent than the other two strategies. Exploring with parents individually or in small groups, the strategies they currently use and promoting the use of task-focused strategies is a further development to the current practices by professional staff in centres and clinics.

4.3. Further Research

The limitations of this study could be addressed in future research. The samples obtained may be biased towards families who are already experiencing a reasonable, if not a good quality of life whereas those who may face more challenges in their lives may have been reluctant to volunteer to take part in this study. Additionally there are many more families who have no contact with centres or access to professional guidance and advice which is especially common in low income countries. They too may have a much poorer quality of life although environmental factors such as poverty, poor housing and inadequate nutrition are likely to have a greater impact [45]. Nevertheless it is especially challenging to recruit such parents but not impossible, for example using snow-ball sampling when parents identify other families known to them or by public health and primary care staff giving personal invitations through phone or personal contacts to families known to centres or assessment clinics.
Alternatives measures of quality of life are also available, especially those tailored to the needs of parents who have a child with disability [46]. Likewise there are other scales relating to parental stress, coping, emotional wellbeing and family functioning that could be used or adapted for use in clinical practice, especially those that have been translated into Farsi or other languages [47,48]. A further study could assess promising scales for use by practitioners in terms of their face validity and brevity to reduce the demands placed on respondents.
Further research could useful explore the relationships between improvements in family quality of life and outcomes for the children or adult with autism. In particular a longitudinal study that monitors the impact of a family-based intervention over a two to three year period would provide valuable insights [20].
In conclusion, family quality of life offers a conceptual framework which professional services in primary care, and health and social care agencies could use to extend their support to parents and in turn the child or adult with autism or other life-long cognitive impairments. Nonetheless their staff will require additional training and changes to their current roles and practices for this to happen.

Author Contributions

Conceptualization, S.A.S. and F.G.; methodology, S.A.S and FG.; validation, S.A.S.; formal analysis, R.M. and S.A.S.; investigation, S.A.S and F.G..; resources, F.G.; data curation, S.A.S. and F.G., writing—original draft preparation, S.A.S.; writing— review and editing, S.A.S. and R.M.; supervision, S.A.S. and F.G.; project administration, F.G. and S.A.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

In the absence of a clear national protocol, this studyadhered to the seventh revised version W.M.A. of the Helsinki Declaration on Medical Research involving Human Subjects issued on 19 October 2013. The parents/caregivers were informed about the study and those who agreed to participate and provided a written consent were included.

Informed Consent Statement

Informed consent was obtained from all caregivers involved in the study.

Data Availability Statement

Anonymised datasets are available on reasonable request to the first author.

Acknowledgments

The authors wish to thank the parents and children for agreeing to take part in this study. We are grateful to the managers and staff of the participating centres for their contributions to the data gathering.

Conflicts of Interest

The authors declare that they have no conflict of interest.

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Table 1. Parental demographic information, frequencies, and percentages by gender.
Table 1. Parental demographic information, frequencies, and percentages by gender.
Variable Unrelated parents Related Parents
Mothers (N=224) Fathers (N=161) Mothers (N=119) Fathers (N=119)
Parents’ age in years: Mean: 40.8
SD.: 7.12
Min: 24.00
Max: 72.00
F=29.42 p<0.001
Mean: 45.0
SD.: 8.25
Min.: 29.00
Max.: 75.00
Mean: 38.8
SD:6.95
Min.: 26
Max.: 63
F=31.54 p<0.001
Mean: 43.7
SD:6.62
Min.:31
Max.:61
Parents’ education:
Secondary
Higher

143 (63.8%)
81 (36.2%)
Chi = 2.866 NS

89 (55.3%)
72 (44.7%)

76 (63.9%)
43 (36.1%)
Chi = 0.289 NS

68 (57.1%)
51 (42.9%)
Parents’ job
Employed
Unemployed

37 (16.5%)
187 (83.5%)
Chi=213.39 p<0.001

148 (91.9%)
13 (8.1%)

22 (18.5%)
97 (81.5%)
Chi = 125.37 p<0.001

108 (90.8%)
11 (9.2%)
Health
Satisfied
Less Satisfied

115 (51.3%)
109 (48.7%)
Chi Sq=0.026 NS

84 (52.2%)
77 (47.8%)

53 (44.5%)
66 (55.5%)
Chi Sq 5.45 p<0.05)

71 (59.7%)
48 (40.3%)
Negative Moods
Often
Rarely

80 (35.7%)
144 (64.3%)
Chi Sq=0.680 NS

51 (31.7%)
110 (68.3%)

53 (44.5%)
66 (55.5%)
Chi Sq=1.11 NS

45 (37.8%)
74 (62.2%)
Marriage
Satisfied
Not satisfied

131 (58.7%)
92 (41.3%)
Chi Sq 14.00 p<0.001

124 (77.0%)
37 (23.0%)

69 (58.0%)
50 (42.0%)
Chi Sq 2.60 NS

81 (68.1%)
38 (31.9%)
Family income
Low
Middle/High

70 (31.3%)
154 (68.8%)
Chi Sq=0.187 NS

47 (29.2%)
114 (70.8%)

30 (25.2%)
89 (74.8%)
Marriage
Between family
Nonfamily

71 (31.7%)
153 (68.3%)
Chi Sq=0.853 NS

44 (27.3%)
117 (72.7%)

47 (39.5%)
72 (60.5%)
Children
One child
Two plus

84 (37.5%)
140 (62.5%)
Chi Sq=1.714 NS

50 (31.1%)
111 (68.9%)

54 (45.4%)
65 (54.6%)
Table 2. Child characteristics.
Table 2. Child characteristics.
Variable Unrelated parents Related Parents (N=119)
Mothers (N=224) Fathers (N=161)
Child’s age in years: Mean: 12.5
SD.: 5.01
Min: 4.00
Max: 44.00
F=0.146 NS
Mean: 12.3
SD.: 3.47
Min.: 6.00
Max.: 23.00
Mean: 12.1
SD: 4.34
Min.: 6
Max.: 34
Gender
Male
Female

170 (75.9%)
54 (24.1%)
Chi Sq=1.645 NS

131 (81.4%)
30 (18.6%)

90 (75.6%)
29 (24.4%)
Communication
Verbal
Non-verbal

114 (50.9%)
110 (49.1%)
Chi Sq=1.732 NS

71 (44.1%)
90 (55.9%)

74 (62.2%)
45 (37.8%)
Behavior
Problem
Not problem

169 (75.4%)
55 (24.6%)
Chi Sq=3.727 NS

107 (66.5%)
54 (33.5%)

83 (69.7%)
36 (30.3%)
Sensory
Problem
Not problem

103 (46.0%)
121 (54.0%)
Chi Sq=4.316 NS

57 (35.4%)
104 (64.6%)

52 (43.9%)
67 (56.1%)
Severity
Mild
Moderate
Severe

47 (21.0%)
112 (50.0%)
65 (29.0%)
Chi Sq=1.506 NS

35 (21.7%)
71 (44.1%)
55 (34.2%)

37 (31.1%)
55 (46.2%)
27 (22.7%)
Table 3. Means and SDs of parental ratings on the measures used in the study.
Table 3. Means and SDs of parental ratings on the measures used in the study.
Measure Unrelated parents Related Parents
Mothers (N=224) Fathers (N=161) Mothers (N=119) Fathers (N=119)
Quality of Life
Mean: 70.9
SD.: 14.38
F=4.74 p<0.05
Mean: 74.0
SD.: 12.49
Mean: 71.7
SD:12.91
F=6.27 p<0.05
Mean: 76.1
SD:14.14
Support Family Mean: 37.0
SD.: 10.83
F=0.895 NS
Mean: 38.1
SD: 11.72
Mean: 37.4
SD:12.37
F=0.21 NS
Mean: 36.7
SD: 11.29
Support Friends Mean: 15.1
SD.: 6.07
F=1.96 NS
Mean: 14.2
SD:6.44
Mean: 15.1
SD:6.55
F=0.433 NS
Mean: 14.6
SD: 5.63
Professional
Supports
Mean: 2.9
SD.: 1.28
F=0.566 NS
Mean: 3.0
SD:1.34
Mean: 3.1
SD:1.28
F=0.369 NS
Mean: 2.9
SD: 1.28
Positive Stress Mean: 16.9
SD.: 4.54
F=0.408 NS
Mean: 17.2
SD:4.78
Mean: 16.7
SD:4.31
F=0.034 NS
Mean: 16.8
SD: 4.14
Negative Stress Mean: 17.2
SD.: 4.55
F=2.24 NS
Mean: 16.5
SD:4.92
Mean: 17.3
SD:4.30
F=1.510 NS
Mean: 16.6
SD: 4.66
Emotional Coping Mean: 50.5
SD.: 10.29
F=5.92 p<0.05
Mean: 53.2
SD:11.10
Mean: 51.9
SD:11.12
F=1.15 NS
Mean:50.3
SD: 11.39
Task Coping Mean: 44.3
SD.: 7.43
F=4.48 p<0.05
Mean: 46.0
SD:8.22
Mean: 45.2
SD:7.18
F=0.018 NS
Mean:45.1
SD: 7.15
Avoidance Mean: 36.2
SD.: 8.50
F=2.48 NS
Mean: 37.7
SD:10.13
Mean: 35.7
SD:9.57
F=0.117 NS
Mean:35.3
SD: 7.37
NS=Not Significant p>0.05.
Table 4. a: Correlations with Quality of Life measure and other measures. b: The demographic characteristics of parents and children that were significantly associated with parental quality of life ratings for the two samples.
Table 4. a: Correlations with Quality of Life measure and other measures. b: The demographic characteristics of parents and children that were significantly associated with parental quality of life ratings for the two samples.
a
Unrelated Parents (n=385) Related Parents (n=238)
Measure Pearsons r Significance Pearsons r Significance
Support from family 0.153 P<0.01 0.235 P<0.01
Support from friends 0.124 P<0.05 0.160 P<0.05
Professional Supports 0.183 P<0.010 0.130 P<0.05
Positive Stress 0.180 P<0.01 0.264 P<0.01
Negative Stress -0.132 P<0.01 -0.228 P<0.01
Emotional Coping 0.060 NS 0.059 NS
Task Coping 0.004 NS -0.055 NS
Avoidance Coping 0.071 NS 0.197 P<0.01
b
Predictor Unrelated Parents (n=385) Related Parents (n=238)
Parents’ Gender
Mothers
Fathers

Mean: 70.9 (SD 14.38)
Mean: 74.0 (SD 12.49)
F=4.74 p<0.05

Mean: 71.7 (SD 12.92)
Mean: 76.1 (SD 14.14)
F=6.27 p<0.05
Parents’ education:
Secondary
Higher

Mean: 70.3 (SD 13.91)
Mean: 75.0 (SD 12.90)
F=11.01 p<0.001

Mean: 72.5 (SD 14.36)
Mean: 76.1 (SD 12.36)
F=3.977 p<0.05
Parents’ job
Employed
Unemployed

Mean: 74.7 (SD 12.32)
Mean: 69.9 (SD 14.51)
F=11.924 p<0.001

Mean: 76.1 (SD 13.86)
Mean: 71.2 (SD 13.06)
F=7.642 p<0.01
Health …
Satisfied
Less Satisfied

Mean: 76.8 (SD 12.86)
Mean: 67.3 (SD 12.86)
F=52.208 p<0.001

Mean: 79.7 (SD 12.29)
Mean: 67.6 (SD 12.31)
F=57.892 p<0.001
Marriage …
Satisfied
Not satisfied

Mean: 76.7 (SD 11.69)
Mean: 63.3 (SD 13.12)
F=102.298 p<0.001

Mean: 78.7 (SD 12.19)
Mean: 65.7 (SD 12.17)
F=63.528 p<0.001
Child Behaviour Issues
Yes
No

Mean: 71.4 (SD 13.46)
Mean: 74.1 (SD 14.14)
F=3.045 NS

Mean: 71.7 (SD 13.85)
Mean: 78.9 (SD 11.69)
F=14.393 p<0.001
Child Sensory Issues
Yes
No

Mean: 70.2 (SD 14.13)
Mean: 73.6 (SD 13.22)
F=5.835 p<0.05

Mean: 70.9 (SD 13.79)
Mean: 76.3 (SD 13.24)
F=9.281 p<0.005
Child Severity of Issues
Mild
Moderate
Severe

Mean: 75.5 (SD 12.69)
Mean: 72.7 (SD 13.43)
Mean: 69.2 (SD 14.23)
F=5.491 p<0.005

Mean: 76.3 (SD 14.85)
Mean: 72.9 (SD 13.13)
Mean: 72.3 (SD 12.86)
F=1.811 NS
Table 5. a: Linear Regression on Quality of Life scores for related parents (N=237). b: Linear Regression on Quality of Life scores for unrelated parents (N=383).
Table 5. a: Linear Regression on Quality of Life scores for related parents (N=237). b: Linear Regression on Quality of Life scores for unrelated parents (N=383).
a
Unstandardized Coefficients Standardized Coefficients t Sig.
B Std. Error Beta
(Constant) 48.653 8.753 5.558 <.001
Marriage Satisfaction -9.210 1.516 -.325 -6.074 <.001
Satisfaction with health 8.482 1.453 .310 5.838 <.001
Support from family .224 .081 .193 2.773 .006
Professional supports 1.029 .549 .096 1.873 .062
Positive Child Rearing .372 .213 .115 1.748 .082
Educational Level 2.350 1.430 .084 1.643 NS
Behavioral Problem 2.257 1.583 .076 1.426 NS
Support from friends -.085 .155 -.038 -.552 NS
Negative -.096 .199 -.031 -.483 NS
Avoidance Coping .113 .088 .070 1.281 NS
b
Unstandardized Coefficients Standardized Coefficients t Sig.
B Std. Error Beta
(Constant) 59.361 6.412 9.258 <.001
Marriage Satisfaction -11.306 1.245 -.390 -9.081 <.001
Satisfaction with health 8.301 1.167 .304 7.112 <.001
Educational Level 3.254 1.193 .117 2.726 .007
Professional supports 1.175 .446 .112 2.636 .009
Positive Child Rearing .312 .137 .106 2.283 .023
Behavioral Problem 2.314 1.279 .076 1.809 .071
Support from friends .197 .113 .090 1.744 .082
Negative Stress -.122 .138 -.042 -.886 NS
Support from family -.048 .066 -.039 -.723 NS
Avoidance Coping .000 .066 .000 -.003 NS
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