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Article

Analysis of the Functioning of Families of Children with Autism Spectrum Disorder: A Psychometric Study of the Family APGAR Scale

Faculty of Education and Psychology, Universidad Francisco de Vitoria, Majadahonda, 28223 Madrid, Spain
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(23), 7106; https://doi.org/10.3390/ijerph20237106
Submission received: 13 September 2023 / Revised: 6 November 2023 / Accepted: 20 November 2023 / Published: 24 November 2023
(This article belongs to the Special Issue Parenting and Mental Health in Families)

Abstract

:
Normalised family functioning is a predictor of individual well-being. The diagnosis of a family member with autism spectrum disorder (ASD) can alter the ordinary dynamics of family systems, having a variable impact on family functioning. This research employed a non-probability convenience sampling method to gather a sample of 327 families with and without children diagnosed with ASD. This study has dual objectives: to analyse the psychometric properties of the Spanish version of the Family APGAR Scale and to compare family functioning in families with and without a child with ASD. The results reveal several favourable psychometric properties in the application of the APGAR scale within families of children with ASD. The use of the Family APGAR Scale in the selected sample confirms that the functioning of families with children with ASD can be categorized as mildly dysfunctional, attributed to the inherent challenges in caring for and raising a child with ASD. The presence of ASD within family systems presents a challenge to typical family functioning, with significant differences observed between families with and without children with ASD. This underscores the necessity of implementing effective intervention programs based on empirical evidence to improve the quality of life for individuals with ASD and their families.

1. Introduction

Family is generally considered the earliest and most important institution in society, the foundation of human cultural and economic life [1], as well as the most direct and significant factor in the psychosocial development of the individual [2]. Thus, family structure and dynamics of family functioning is an effective predictor of the degree of life satisfaction of its individual members [3].
Since the 1970s, various experts in the study of family systems refer to the notion of “family functioning”, particularly Olson [4], who uses this term to refer to the interrelation and connection between family members (cohesion) and the capacity of family systems to adapt to difficult circumstances (adaptability). In parallel to the generalisation of the concepts proposed by Olson, other proposed paradigms emerged based on two divergent theoretical approaches to family functioning: results-oriented family functioning, taking into consideration specific variables for each family, corresponding to the Olson Circumplex Model [4,5] and the Beavers System Model [6,7], and the second group, process-oriented family functioning, which approaches family functioning through the type of tasks each family system assumes in different stages of life [8] corresponding to McMaster’s Theory of Family Functioning [9] and Skinner’s Family Functioning Model [10].
Although a large part of the research in family functioning, based on the models indicated above, focuses on identifying patterns of optimum family functioning [11], it is practically impossible to generalise the notion of “normality” given the complexity of variables involved and the importance of the sociocultural context in which each family ecosystem functions [12]. Nevertheless, it can be affirmed that a family can be considered “functional” when it manifests an adequate capacity to adapt to changing internal and external circumstances throughout different stages of life, maintaining the appropriate degree of cohesion among members. Thus, a functional family system is one that is able to maintain its identity despite the exposure to varying degrees of stress or conflict, whereas dysfunctional families are characterised by a lack of tools or skills necessary to successfully navigate and manage stressful circumstances, presenting non-adaptive patterns of conduct and interrelations between family members [13].
The predictive factors of family dysfunction are highly varied, and it is essential to consider these factors in context. These factors may include negative or adverse circumstances for families, such as financial problems [14], chronic illness [15], and serious accidents or death [16], as well as significant or impactful events, such as moving house, changing in employment, or the birth of a child, which can be a source of stress on the family. Among the factors that have the most impact on family functioning, some form of disability of a family member has been traditionally considered an extremely significant factor influencing individual and family dynamics [17,18] and may even represent a social stigma or discredit for the family [19]. The families of individuals with disabilities often show high levels of stress, produced by the behaviour and additional needs of a family member that may be difficult to manage, or the absence of effective coping strategies or the lack of resources or family support in raising and educating the person with a disability [20]. Specifically, the diagnosis of autism spectrum disorder (ASD) of a family member can represent an even greater risk factor for family stability and functioning [21]. Severe alterations in conduct associated with ASD have been linked to dysfunctional and/or vulnerable family systems [22,23], as well as high levels of parental stress, having a direct impact on parenting strategies and the quality of family life [24,25].
Compared to ‘normotypical’ families, those dealing with disability on a daily basis have a higher probability to suffer personal burnout [26] due to the demands of dealing with disability within the family system. For families of children with ASD, the specific characteristics of ASD are directly associated with greater levels of stress and impaired family resilience compared to families dealing with other forms of disabilities (such as Down’s syndrome, developmental alterations, etc.) [27,28,29]. Family resilience [30], cohesion, and the capacity for adaptation [31], play a crucial role in addressing the challenges of living with a person with a disability [32]. It is essential that clinical, social, and educational support services develop and deploy effective intervention programs focussed on the family [33], specifically those with individuals with a disability [34], in order to address the issues mentioned above and to enhance the quality of life for not only of those with a disability but also their entire family environment [35].
The Family APGAR Scale was developed in the late 1980s when Smilkstein [36] published and validated an initial version of the instrument. The initial purpose of the instrument was clinical, aiming to provide family doctors with a panoramic overview of the structure and functioning of families, providing primary care practitioners useful information to prevent and manage problems arising within the families of their patients. The evolution of the instrument was documented in the first and subsequent publications by the author and his collaborators [36,37]. The first version of the scale, formatted with five possible responses, showed consistent and reliable psychometric properties (Cronbach’s alpha = 0.86; total correlation between responses = 0.50 to 0.65) [38], enabling the later generalisation of its use.
Over time, the effectiveness of the Family APGAR Scale continued to be analysed as its use became more widespread and generalised in different contexts, demonstrating the validity, reliability, and utility of the tool in determining the prevalence of perceived and self-reported family dysfunction. Numerous prestigious studies focussing on the functioning of family systems affected by highly diverse conditions (including chronic illnesses such as HIV, leprosy, and diabetes) have made use of the Family APGAR questionnaire [39]. The effectiveness of this tool has been demonstrated in identifying dysfunction among family systems dealing with the challenges of disability [40,41,42,43] and, more specifically, in samples of family systems in the case of autism spectrum disorder [44]. There are different versions of the scale translated into different languages and adapted to different cultures with satisfactory psychometric values, including China [45], Spain [46], Taiwan [47], the Philippines [48], Japan [49], Poland [50], Colombia [51], Iran [52], Ghana [53], and Indonesia [54], among others. Furthermore, the tool is appropriate for use with sample populations from early childhood–youth [55,56] until the later stages of adult life [52].
The present research has dual objectives: first, to evaluate the psychometric properties of the Spanish version of the Family APGAR Scale [39], administered to a sample of families of children with autism spectrum disorder (ASD), given that the APGAR scale is one of the most standard instruments in evaluating family functioning, and second, to analyse the functioning of families of children with autism spectrum disorder compared to those without.

2. Materials and Methods

2.1. Participants

This research used a non-probability convenience method to gather a sample of families of children with and without autism spectrum disorder.
The final sample of the study consisted of 327 Spanish families, of which 160 had a child with autism spectrum disorder and 167 without. The age of the families of a child with ASD ranged from 27 to 66 years of age, with a mode of 55; the children were aged between 3 and 25, with a mode of 6.
Among families of a child with autism spectrum disorder, mothers were those who most commonly responded to the questionnaire (84.6%) compared to fathers (15.2%), with only one case where another person responded. The majority of participants were married (65.58%) and, although a high percentage were employed full time (44.5%) or part time (23.2%), over half of the families did not have any form of help in caring for their child with autism spectrum disorder (53.5%), while 40.1% had the help of family members.
Among families of children without autism spectrum disorder, mothers were also the most frequent respondents (75.3%) compared to fathers (20.5%). In this case, the majority were married (67.1%) and worked full time (54.4%) or part time (20%).

2.2. Community Involvement

The protagonists of this research project are people with autism spectrum disorder and their family environments. This study is based on the needs expressed by families with children with autism, with the main purpose of developing, a posteriori, professional intervention plans. To ensure the active participation of people with autism, their families were involved in the formulation of the research questions. As a result, the most appropriate standardized-assessment instrument was selected, and the families were asked to complete it. Thus, from the beginning, the participating families were deliberately and voluntarily involved in the research process. The participatory role of fathers and mothers with children with autism spectrum disorder was decisive for the development of this research.
On the other hand, the participation of professionals from the educational sector of students with autism spectrum disorders was also present, since they were in charge of mediating between the team of researchers and the sample of families with children with autism.

2.3. Instruments

This research made use of the Family APGAR Scale, administered along with a series of sociodemographic questions to collect information about the respondents.
Family APGAR Scale [36]: This instrument was developed to analyse and understand the functioning of a family system in a particular moment as perceived by one of its members. The APGAR scale is composed of five items that evaluate the dimensions of adaptation, partnership, growth, affect, and resolve within a family. There is a Spanish version of the scale, validated by Bellón et al. [46], and the interclass correlation coefficient of the 5 items is above 0.55 and has a Cronbach’s alpha of 0.84. The questionnaire is simple to use, administered individually, and answered personally by each participant. There are five response options on a scale of 0 to 4, where 0—Never; 1—Almost never; 2—Sometimes; 3—Almost always; and 4—Always.

2.4. Procedure

The first step in this research was to create the study sample. Families of children with autism spectrum disorder were contacted through special education schools within the Community of Madrid, Spain; specifically, families of children enrolled in these schools diagnosed with autism spectrum disorder. In the case of families with children not diagnosed with autism spectrum disorder, their participation was requested through ordinary schools within the Community of Madrid. In both cases, the schools that agreed to participate in this study were sent the questionnaire on paper, in a sealed envelope, to be delivered to the families in the students’ school bags. After two weeks, the completed questionnaires were collected from the schools.

2.5. Data Analysis

To achieve the objectives of this research, an initial analysis was made of criterion normality (Kolgomorov–Smirnov), which showed that the sample did not meet the criteria for normality (p < 0.05), and thus, non-parametric testing was conducted to analyse the data.
Furthermore, an analysis was made to verify the reliability of the instrument (Cronbach’s alpha), as well as confirmatory analysis. A descriptive and correlational analysis was also carried out on the variable of the study. Finally, in order to obtain evidence of criterion validity regarding the relationship between family functioning based on the presence or absence of ASD, the Spearman’s Rho test was administered.
The data were analysed using the IBM SPSS statistics software, version 29.0.

3. Results

3.1. Construct Reliability and Validity

Reliability testing confirmed that the instrument is apt for the study sample, families of children with ASD, with a Cronbach’s alpha of 0.91, considered excellent.
The confirmatory factor analysis indicates the model has an adequate goodness of fit according to the thresholds established by the authors (0.99 for CFI and TLI and 0.05 for RMSEA), with scores of CFI = 0.999, TLI = 0.997, and RMSEA = 0.026.

3.2. Results of the Descriptive Analysis

The following is a descriptive analysis of the results for the Family APGAR Scale for families of children with and without autism spectrum disorder. The following scale has been used in evaluating the scores:
  • Normal: 17–20
  • Slight dysfunction: 16–13
  • Moderate dysfunction: 12–10
  • Severe dysfunction: <9
In Table 1, the results of the descriptive analyses conducted are presented, both for each of the items and for the complete Family APGAR Scale (“Total APGAR”). Taking into account that the scores for each of the items range from 0 to 4, it can be determined that, in all cases, both groups of families obtained scores above the mean (placing them closer to the normal value). It is important to note that families with a child without autism spectrum disorder (ASD) obtained higher scores compared to families with a child with ASD, both for all the items and for the total score of the scale.
More specifically, it can be observed that families with a child with ASD obtained the highest score on item 3 (mean = 3.10), related to “Growth”. This indicates that these family systems feel adequately supported by their environment, as reflected through a proper perception of their individual and personal growth. In contrast, the lowest score obtained by the sample of families with a child with ASD was on item 1 (mean = 2.84), related to “Adaptation”. In this regard, it is evident that these families demonstrate a low ability to effectively cope with difficulties or stressful situations arising from their child’s autism spectrum disorder. On the other hand, families with children without ASD obtained the highest scores and, therefore, scores closer to the normal value on item 5 (mean = 3.42), related to “Resolve”, which is understood as an indicator of a high capacity to meet the physical and emotional needs of other family members. The lowest score, expressed by the sample of families with children without ASD, was observed on item 3, “Growth” (mean = 3.25), related to their individual development within the family system.
Finally, the “Total APGAR” item refers to the overall score of the scale, providing a comprehensive view of family functioning based on the analysis of scores obtained in the 5 items that make up the scale. In this regard, the data obtained demonstrate that families with a child with ASD exhibit a slight family dysfunction (mean = 15.17) in comparison to families with a child without ASD, for whom the data indicate that they are closer to the criterion of normality (mean = 16.60).
Below, the descriptive analyses of the sample of families with a child with autism spectrum disorder (ASD) are presented, categorized by the degree of severity (mild, moderate, or severe). The conducted analyses provide a profound understanding of the extent and nature of family functioning in relation to the level of manifestation and impact of symptoms associated with the diagnosed child’s autism spectrum disorder.
As can be observed in Table 2, in all cases, the means of the scores for each of the items that make up the Family APGAR Scale, as well as the results obtained in the overall score of the Family APGAR Scale (“Total APGAR”), are above the average. This occurs because responses are measured on a Likert-type scale, ranging from 0 to 4 points.
Specifically, for families with a child with a mild degree of autism spectrum disorder (ASD), it can be observed that the factors in which the highest scores are obtained are “Growth” and “Affect” (mean = 3.04). In contrast, the lowest scores are related to the “Adaptation” item (mean = 2.79). In the case of families with a child with a moderate degree of ASD, the highest scores are obtained in the “Partnership” item (mean = 3.13), while the lowest scores are found in the “Adaptation” item (mean = 2.92). Finally, families with a child with a severe degree of ASD obtained the highest score in the “Resolve” factor (mean = 3.26), while the lowest score is observed in the “Adaptation” item (mean = 2.89).

3.3. Analysis of the Inferential Study

Finally, the results are displayed below in order to determine if there are any statistically significant differences between families of children with ASD and those without. And within the families that have a child with ASD, are there differences within the group based on the degree of severity.
The results from Table 3 allow us to understand whether there are statistically significant differences between families with a child with autism spectrum disorder (ASD) and those without ASD, both for each of the items comprising the Family APGAR Scale and for the total scores of the scale. The p-value demonstrates that there are statistically significant differences in all the items of the scale (p < 0.05), except for the third item, “Growth” (p > 0.115), which refers to the sense of self-realization achieved with the help and support of one’s own family.
This implies that in the analysis of the overall “Total APGAR” scale, statistically significant differences are observed between the two family groups. This means that, despite finding similar scores in the descriptive analyses for the means of both family groups (with ASD mean = 15.17; without ASD mean = 16.60), the Mann–Whitney U test indicates that there are indeed significant differences between the two family groups (p = 0.005).
With the aim of verifying the use of the family functioning scale for families with and without a child with ASD, the Spearman’s Rho test was applied. The data obtained indicate a low (Rho = 0.184) but significant (p < 0.05) correlation between family functioning and the presence of ASD within the family context.
Finally, Table 4 displays the results obtained after applying the Kruskal–Wallis test for the sample of families with a child with autism spectrum disorder (ASD). The purpose of this analysis is to verify the presence of possible statistically significant differences based on the degree of severity of the child’s autism spectrum disorder (mild, moderate, or severe).
As can be observed in Table 4, there are no statistically significant differences within families with a child with ASD based on the degree of severity, as for both, in each of the items and in the overall result of the complete scale, p > 0.05 is obtained.

4. Discussion

This research had two key objectives: first, to analyse the psychometric properties of the Spanish version of the Family APGAR Scale and second, to explore the functioning of families of children with ASD compared to those without.
Regarding the first objective, the APGAR scale proved to be a reliable tool (0.91) for the analysis of family dysfunction in the case of families of children with ASD. These results are in line with the findings of other studies using the same scale applied to a wide range of different samples, such as university students or the elderly [52,53,54,55,56,57], as well as families with members diagnosed with autism spectrum disorder [43,44]. In all cases, the internal consistency of the tool was considered good to excellent.
Regarding the second research objective, scores were above the mean for all items, especially the item “Growth”, which had the highest scores and refer to personal and family development and the feeling of self-fulfilment thanks to the mutual support of family members.
These findings are in line with the results of other studies, such as that by the authors of [58], who associate health with self-fulfilment and well-being, even in adverse circumstances. This study is directly linked to the sample analysed in the present study. Given that families of children with ASD face numerous challenges and difficulties associated with the care of a child with ASD, not only at the moment of diagnosis but over the course of an entire lifetime, requiring that families “are fortifying themselves and develop the capacity to find fulfilment both for themselves and for their children” [59] (p. 54).
In achieving this self-fulfilment, the emotional support of a spouse is essential, as found in the studies of family systems by Sumalavia and Almenara [60] or García-López et al. [61], which highlight the importance of the mutual support of spouses in maintaining a positive relationship and successful adaptation to adverse circumstances.
Although the scores were above the mean, there were statistically significant differences between the groups in all items, with the exception of item 3, “Growth”. This may be due to the fact that, regardless of the difficulties faced by family systems, the family continues to be the entity which most directly influences the psychosocial development and well-being of each member [2].
Of particular note are the results obtained for item 4, “Affect”. Although there were differences between the groups, these differences were at the limit of significance. The families of children with a disability are more likely to suffer greater degrees of personal burnout [26], which may influence the relationships between family members.
Additionally, the lowest scores were found for the dimension “Adaptation”, referring to the ability to adapt and overcome adversity by deploying internal and external resources. Although the scores were lowest for this dimension, they remained above the mean. In the case of families of children with ASD, this is a positive result, considering that it indicates that families have sufficient coping mechanisms, understood as the ability of family members to deploy available resources to face situations of stress [62], as well as the resources necessary to adapt to adversity [63].
The deployment of coping strategies and resources is directly associated with resilience, that is, the capacity of individuals to adapt to adversity [64]. According to Fínez et al. [65], resilient individuals do not undergo a period of recovery before difficulties but rather are able to maintain an equilibrium in family functioning. The scores for this item indicate that families of children with ASD have developed a high degree of resilience, most likely due to the prevalence of stressful situations or difficulties they must face [30].
The scores for families of children with ASD indicate that these families have more resources and information, achieving a greater degree of acceptance of disability within the family. As the study by Serrano [66] concludes, “the understanding and general view parents have of the disability of their children are considered positive, resulting in the sensation of a normal family functioning” (p. 23).

5. Conclusions

This research offers a deeper understanding of the functioning of families with children with autism spectrum disorder (ASD) through a comparative analysis conducted between the dynamics existing in families with children with and without ASD. To obtain the results, the Family APGAR Scale was utilized, which demonstrated appropriate and consistent psychometric properties, confirming the reliability of the tool for the sample used.
The findings suggest that, although families face numerous challenges, they exhibit a remarkable capacity to function and adapt positively to adversity. Given the high variability in the manifestation of the autism spectrum, we delved into the analysis of how the degree of ASD severity in the individual influenced family functioning. The data indicate that there are no significant differences in family functioning based on the degree of ASD severity. However, differences were identified between the functioning of families with and without children with ASD, showing that families with children without ASD tend to exhibit functioning closer to normalcy compared to families with children with ASD, which tend to exhibit dysfunctional dynamics. The results highlight the importance of continued support and resources for these families, as well as recognition of their strength and well-being.
The present study has several limitations, the main one being a limited sample size, consisting of fewer than 200 participants for each of the sample subgroups analysed. The sample size, combined with the use of non-parametric tests, hinders the ability to generalize the results, understanding that the conclusions of this research specifically pertain to the analysis of the obtained results. The limitations inherent in this research underscore the need to further examine the specific factors that contribute to positive family functioning, particularly in families of children with autism spectrum disorder. Greater understanding will permit the development of more effective family intervention strategies and programs aimed at the specific aspects where greater help is most needed.

Author Contributions

Conceptualization, L.S.; methodology, L.M.; validation, E.V.; formal analysis, E.V.; investigation, L.S., L.M. and E.V.; writing—original draft preparation, L.S., L.M. and E.V; writing—review and editing, L.S., L.M. and E.V. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki and approved by Ethics Committee of Francisco de Vitoria University (protocol code 41/2022 on 21 December 2022).

Informed Consent Statement

Informed consent was obtained from all subjects involved in this study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bau, N.; Fernández, R. The Family as a Social Institution (No. w28918); National Bureau of Economic Research: Los Angeles, CA, USA, 2021. [Google Scholar] [CrossRef]
  2. Kagitcibasi, C. Family, Self, and Human Development Across Cultures: Theory and Applications; Routledge: London, UK, 2017. [Google Scholar] [CrossRef]
  3. Szcześniak, M.; Tułecka, M. Family functioning and life satisfaction: The mediatory role of emotional intelligence. Psychol. Res. Behav. Manag. 2020, 13, 223–232. [Google Scholar] [CrossRef]
  4. Olson, D.; Russell, C.S.; Sprenkle, D.H. Circumplex Model: Systemic Assessment and Treatment of Families; The Haworth Press: London, UK, 1989. [Google Scholar] [CrossRef]
  5. Olson, D.H.; Sprenkle, D.H.; Russell, C.S. Circumplex model of marital and family systems, I: Cohesion and adaptability dimensions, family types, and clinical applications. Fam. Process 1979, 18, 3–28. [Google Scholar] [CrossRef] [PubMed]
  6. Beavers, W.R. Psychotherapy and Growth: A Family Systems Perspective; Brunner/Mazel: Ann Arbor, MI, USA, 1977. [Google Scholar]
  7. Beavers, W.R.; Hampson, R.B. The Beavers systems model of family functioning. J. Fam. Ther. 2000, 22, 128–143. [Google Scholar] [CrossRef]
  8. Dai, L.; Wang, L. Review of family functioning. Open J. Soc. Sci. 2015, 3, 134. [Google Scholar] [CrossRef]
  9. Epstein, N.B.; Bishop, D.S.; Levin, S. The McMaster model of family functioning. J. Marital. Fam. Ther. 1978, 4, 19–31. [Google Scholar] [CrossRef]
  10. Skinner, H.; Steinhauer, P. Family Assessment Measure and Process Model of Family Functioning. J. Fam. Ther. 2000, 22, 190–210. [Google Scholar] [CrossRef]
  11. Epstein, N.B.; Bishop, D.S.; Baldwin, L.M. McMaster Model of Family Functioning: A view of the normal family. In Normal Family Processes; Walsh, F., Ed.; Guilford Press: New York, NY, USA, 1982; pp. 115–141. [Google Scholar]
  12. Moreno, J. Función y disfunción familiar. FMC-Form. Médica Contin. Atención Primaria 2007, 14, 89–99. [Google Scholar] [CrossRef]
  13. Colapinto, J. Family function and dysfunction in Structural Family Therapy. In Encyclopedia of Couple and Family Therapy; Simic, M., Eisler, I., Lebow, J., Chambers, A., Breunlin, D., Eds.; Springer International Publishing: New York, NY, USA, 2018; pp. 1059–1060. [Google Scholar] [CrossRef]
  14. Stevenson, C.; Costa, S.; Wakefield, J.R.; Kellezi, B.; Stack, R.J. Family identification facilitates coping with financial stress: A social identity approach to family financial resilience. J. Econ. Psychol. 2020, 78, 102271. [Google Scholar] [CrossRef]
  15. Pate, T. Families of children with chronic illness and the relational family model. Pers. Chall. 2016, 6, 57–65. [Google Scholar] [CrossRef]
  16. Titelman, P.; Reed, S.K. Death and Chronic Illness in the Family. Bowen Family Systems Theory Perspectives; Routledge: London, UK, 2018. [Google Scholar] [CrossRef]
  17. Díaz, P.P.; Estrada, E.R.; Iparraguirre, N.E.; Oblea, M.O. Impact of disability on the family. PalArch’s J. Archaeol. Egypt/Egyptol. 2020, 17, 14711–14729. [Google Scholar]
  18. Reichman, N.E.; Corman, H.; Noonan, K. Impact of child disability on the family. Matern. Child Health J. 2008, 12, 679–683. [Google Scholar] [CrossRef] [PubMed]
  19. Mitter, N.; Ali, A.; Scior, K. Stigma experienced by families of individuals with intellectual disabilities and autism: A systematic review. Res. Dev. Disabil. 2019, 89, 10–21. [Google Scholar] [CrossRef] [PubMed]
  20. Hsiao, Y.J. Parental stress in families of children with disabilities. Interv. Sch. Clin. 2018, 53, 201–205. [Google Scholar] [CrossRef]
  21. Delgado, M.P.; Laporta, I.; Rebollar-González, S.; Lahuerta, C. Funcionamiento familiar y su relación con la satisfacción con la vida familiar en adolescentes con autismo. Eur. J. Child Dev. Educ. Psychopathol. 2020, 8, 143–151. [Google Scholar] [CrossRef]
  22. Mira, Á.; Berenguer, C.; Baixauli, I.; Roselló, B.; Miranda, A. Contexto familiar de niños con autismo: Implicaciones en el desarrollo social y emocional. Medicina 2019, 79, 22–26. [Google Scholar]
  23. Sikora, D.; Moran, E.; Orlich, F.; Hall, T.A.; Kovacs, E.A.; Delahaye, J.; Clemons, T.E.; Kuhlthau, K. The relationship between family functioning and behavior problems in children with autism spectrum disorders. Res. Autism Spectr. Disord. 2013, 7, 307–315. [Google Scholar] [CrossRef]
  24. Clauser, P.; Ding, Y.; Chen, E.C.; Cho, S.J.; Wang, C.; Hwang, J. Parenting styles, parenting stress, and behavioral outcomes in children with autism. Sch. Psychol. Int. 2021, 42, 33–56. [Google Scholar] [CrossRef]
  25. Rodríguez, G.; Hartley, S.L.; Bolt, D. Transactional relations between parenting stress and child autism symptoms and behavior problems. J. Autism Dev. Disord. 2019, 49, 1887–1898. [Google Scholar] [CrossRef]
  26. Kurtoğlu, H.H.; Özçirpic, B. A comparison of family attention and burnout in families of children with disabilities and families of children without disabilities. Turk. Klin. J. Med. Sci. 2019, 39, 362–374. [Google Scholar] [CrossRef]
  27. Amireh, M.M.H. Stress levels and coping strategies among parents of children with autism and down syndrome: The effect of demographic variables on levels of stress. Child Care Pract. 2019, 25, 146–156. [Google Scholar] [CrossRef]
  28. Lee, C.E.; Burke, M.M.; Arnold, C.K.; Owen, A. Comparing differences in support needs as perceived by parents of adult offspring with down syndrome, autism spectrum disorder and cerebral palsy. J. Appl. Res. Intellect. Disabil. 2019, 32, 194–205. [Google Scholar] [CrossRef] [PubMed]
  29. Pastor-Cerezuela, G.; Fernández-Andrés, M.I.; Pérez-Molina, D.; Tijeras-Iborra, A. Parental stress and resilience in autism spectrum disorder and Down syndrome. J. Fam. Issues 2021, 42, 3–26. [Google Scholar] [CrossRef]
  30. Vela, E.; Suárez, J.M. Stress, Resilience, and Satisfaction in Families of Children with Disabilities. J. Intellect. Disabil. -Diagn. Treat. 2022, 10, 59–66. [Google Scholar] [CrossRef]
  31. Ferrer-Honores, P.; Miscán-Reyes, A.; Pino-Jesús, M.; Pérez-Saavedra, V. Funcionamiento familiar según el modelo Circumplejo de Olson en familias con un niño que presenta retardo mental. Rev. Enferm Hered. 2013, 6, 51–58. [Google Scholar] [CrossRef]
  32. Byrns, E. “It Takes a Village”: Factors Related to Coping in Families Raising Children with Disabilities. USURJ Univ. Sask. Undergrad. Res. J. 2021, 7, 1–9. [Google Scholar] [CrossRef]
  33. Gràcia, M.; Simón, C.; Salvador-Beltran, F.; Adam Alcocer, A.L.; Mas, J.M.; Giné, C.; Dalmau, M. The transition process from center-based programmes to family-centered practices in Spain: A multiple case study. Early Child Dev. Care 2020, 190, 2192–2204. [Google Scholar] [CrossRef]
  34. Gur, A.; Hindi, T.N. Exploring fathers’ perspectives on family-centered services for families of children with disabilities. Res. Dev. Disabil. 2022, 124, 104199. [Google Scholar] [CrossRef]
  35. del Toro, V.; Sánchez, E. Introducción del Modelo Centrado en Familia en España desde una perspectiva de la calidad de vida familiar. Introduction family-centered model in Spain from a perspective from the life family quality. Rev. Educ. Inclusiva 2020, 13, 9–21. [Google Scholar]
  36. Smilkstein, G. The family APGAR: A proposal for a family function test and its use by physicians. J. Fam. Pract. 1978, 6, 1231–1239. [Google Scholar]
  37. Good, M.J.D.; Smilkstein, G.; Good, B.J.; Shaffer, T.; Arons, T. The family APGAR index: A study of construct validity. J. Fam. Pract. 1979, 8, 577–582. [Google Scholar]
  38. Smilkstein, G.; Ashworth, C.; Montano, D. Validity and reliability of the family APGAR as a test of family function. J. Fam. Pract. 1982, 15, 303–311. [Google Scholar] [PubMed]
  39. Suárez, M.A.; Alcalá, M. Family APGAR: Una herramienta para detectar disfunción familiar. Rev. Médica Paz 2014, 20, 53–57. [Google Scholar]
  40. Chen, J.Y.; Clark, M.J. Family function in families of children with Duchenne muscular dystrophy. Fam. Community Health 2007, 30, 296–304. [Google Scholar] [CrossRef] [PubMed]
  41. Gomes, C.M.S.; Zanotelli, L.G.; de Andrade, A.L. Family APGAR Scale: Evidências iniciais de validade para utilização em familiares de pessoas com deficiência intelectual. Rev. Educ. Espec. 2021, 34, 1–20. [Google Scholar] [CrossRef]
  42. Langley, E.; Totsika, V.; Hastings, R.P.; Bailey, T. Family relationships and their associations with perceptions of family functioning in mothers of children with intellectual disability. Am. J. Intellect. Dev. Disabil. 2021, 126, 187–202. [Google Scholar] [CrossRef]
  43. Rani, P.P.; Charles, H.; Russell, P.S.S.; Selvaraj, K.G.; Mammen, P.M.; Russell, S.; Nair, M.K. Dysfunction among families of children with intellectual disability in India using systems model: Prevalence, pattern, and severity of impairment. Indian J. Psychol. Med. 2018, 40, 33–37. [Google Scholar] [CrossRef]
  44. Feng, Y.; Zhou, X.; Liu, Q.; Deng, T.; Qin, X.; Chen, B.; Zhang, L. Symptom severity and posttraumatic growth in parents of children with autism spectrum disorder: The moderating role of social support. Autism Res. 2022, 15, 602–613. [Google Scholar] [CrossRef]
  45. Chau, T.T.; Hsiao, T.M.; Huang, C.T.; Liu, H.W. A preliminary study of family Apgar index in the Chinese. Kaohsiung J. Med. Sci. 1991, 7, 27–31. [Google Scholar]
  46. Bellón, J.; Delgado, A.; Luna, J.; Lardelli, P. Validez y fiabilidad del cuestionario de función familiar Family APGAR. Atención Primaria 1996, 8, 289–295. [Google Scholar]
  47. Wang, M.W.; Huang, Y.Y. Evaluating family function in caring for a geriatric group: Family APGAR applied for older adults by home care nurses. Geriatr. Gerontol. Int. 2016, 16, 716–721. [Google Scholar] [CrossRef]
  48. Lim, A.T.; Manching, J.; Penserga, E.G. Correlation between Family APGAR scores and health-related quality of life of Filipino elderly patients with knee osteoarthritis. Int. J. Rheum. Dis. 2012, 15, 407–413. [Google Scholar] [CrossRef]
  49. Takenaka, H.; Ban, N. The most important question in family approach: The potential of the resolve item of the family APGAR in family medicine. Asia Pac. Fam. Med. 2016, 15, 3. [Google Scholar] [CrossRef] [PubMed]
  50. Niedorys-Karczmarczyk, B.; Chrzan-Rodak, A.; Nowicki, G.; Ślusarska, B.; Mikos, M. Family situation of primary care patients–evaluation of the psychometric properties of the Polish version of the Family Apgar Questionnaire. Fam. Med. Prim. Care Rev. 2020, 22, 297–301. [Google Scholar] [CrossRef]
  51. Valencia-Vargas, A.; López-Palacio, G.J.; Cardona-Arango, D.; Segura-Cardona, Á.M.; Segura-Cardona, A.; Muñoz-Rodríguez, D.I.; Rojas-Gualdrón, D.F. Rasch analysis of the APGAR-family scale in older adults in Colombia. Hacia Promoción Salud 2021, 26, 102–114. [Google Scholar] [CrossRef]
  52. Karimi, Z.; Taheri-Kharameh, Z.; Sharififard, F. Cultural Adaption and Psychometric Analysis of Family APGAR Scale in Iranian Older People. Korean J. Fam. Med. 2022, 43, 141–146. [Google Scholar] [CrossRef]
  53. Ayisi-Boateng, N.K.; Enimil, A.; Essuman, A.; Lawson, H.; Mohammed, A.; Aninng, D.O.; Fordjour, E.A.; Spangenberg, K. Family APGAR and treatment outcomes among HIV patients at two ART Centres in Kumasi, Ghana. Ghana Med. J. 2022, 56, 160–168. [Google Scholar] [CrossRef] [PubMed]
  54. Jatmiko, A.C.; Nurainiwati, S.A.; Drestania, Z.V.L. Analisis Fungsi Keluarga (Family Apgar) Terhadap Kualitas Hidup Penderita Kusta. CoMPHI J. Community Med. Public Health Indones. J. 2022, 3, 82–86. [Google Scholar] [CrossRef]
  55. Austin, J.K.; Huberty, T.J. Revision of the Family APGAR for use by 8-year-olds. Fam. Syst. Med. 1989, 7, 323. [Google Scholar] [CrossRef]
  56. Cabello, H.C.; Rodríguez, T.C.; León, J.V.; Palomino-Barboza, M.; Valles, M.D.L.C. Análisis factorial confirmatorio de la escala de percepción del funcionamiento familiar de Smilkstein en adolescentes peruanos. Salud Soc. 2015, 6, 140–153. [Google Scholar] [CrossRef]
  57. Campo-Arias, A.; Caballero-Domínguez, C. Confirmatory factor análisis of the familiy APGAR questionnaire. Rev. Colomb. Psiquitría 2021, 50, 234–237. [Google Scholar] [CrossRef]
  58. Ryff, C.; Singer, B. Know Thyself and Become What You are: A Eudaimonic Approach to Psychological Well-Being. In The Exploration of Happiness; Fave, A.D., Ed.; Springer: Dordrecht, The Netherlands, 2013; pp. 97–116. [Google Scholar] [CrossRef]
  59. Pentón, A.; Bermúdez, R.; Pérez, D. La resiliencia en la familia del niño con autismo: Actitud y condición de desarrollo. Rev. Científica Cienc. Tecnol. 2019, 19, 50–57. [Google Scholar]
  60. Sumalavia, A.; Almenara, C. Proceso de adaptación de padres y madres de hijos disgnosticados dentro del Autism Spectrum Disorder. Perspect. Fam. 2018, 3, 25–44. [Google Scholar] [CrossRef]
  61. García-López, C.; Sarriá, E.; Pozo, P.; Recio, P. Supportive dyadic coping and psychological adaptation in couples parenting children with Autism Spectrum Disorder: The role of relationship satisfaction. J. Autism Dev. Disord. 2016, 46, 3434–3447. [Google Scholar] [CrossRef] [PubMed]
  62. Morán, C. Relación Entre Variables de Personalidad y Estrategias de Afrontamiento del Estrés Laboral. Ph.D. Thesis, Universidad de León, León, Spain, 2003. [Google Scholar]
  63. Pozo, P.; Sarriá, E.; Brioso, A. Family quiality of life and psychological wellbeing in parents of children with autism spectrum disorders: A double ABCX model. J. Intellect. Disabil. Res. 2014, 58, 442–458. [Google Scholar] [CrossRef] [PubMed]
  64. Piña, J.A. Un análisis crítico del concepto de resiliencia en psicología. An. Psicol. 2015, 31, 751–758. [Google Scholar] [CrossRef]
  65. Fínez, M.J.; García, A. Relación entre la resiliencia personal y las estrategias de afrontamiento en estudiantes. Int. J. Dev. Educ. Psychol. 2012, 4, 111–116. [Google Scholar]
  66. Serrano, L. Perspectivas familiares sobre la vivencia paternofilial de la discapacidad intelectual: Una mirada fenomenológica. Siglo Cero 2022, 53, 9–27. [Google Scholar] [CrossRef]
Table 1. Descriptive results of the sample of families of children with and without ASD.
Table 1. Descriptive results of the sample of families of children with and without ASD.
ASDNMedian MeanStandard Dev.
AdaptationYes1593.002.841.256
No1664.003.311.089
PartnershipYes1593.003.000.994
No1664.003.330.834
GrowthYes1563.003.101.021
No1664.003.250.970
AffectYes1563.003.061.045
No1674.003.280.980
ResolveYes1573.003.070.907
No1664.003.420.764
APGAR TotalYes15115.0015.170.907
No16318.0016.603.688
Table 2. Descriptive results of the sample of families of children with ASD based on the degree of severity.
Table 2. Descriptive results of the sample of families of children with ASD based on the degree of severity.
Degree of SeverityN Median MeanStandard Dev.
Adaptation Mild733.002.791.258
Moderate523.002.921.234
Severe283.002.891.286
PartnershipMild733.002.920.954
Moderate523.003.131.010
Severe283.002.961.105
GrowthMild703.003.040.999
Moderate523.003.121.041
Severe283.003.111.133
AffectMild703.003.040.924
Moderate523.003.061.127
Severe283.003.001.247
ResolveMild723.003.010.847
Moderate523.003.120.963
Severe274.003.260.944
APGAR TotalMild6615.0015.024.071
Moderate5216.0015.354.769
Severe2717.0015.225.235
Table 3. Inferential analysis using the Mann–Whitney U test of families with and without ASD.
Table 3. Inferential analysis using the Mann–Whitney U test of families with and without ASD.
ASDNMean RankSum of RanksUp
AdaptationYes159144.0822,909.0010,189.0<0.001
No166181.1230,066.00
PartnershipYes159147.5423,458.5010,738.50.002
No166177.8129,516.50
GrowthYes156153.6923,975.0011,729.00.115
No166168.8428,028.00
AffectYes156151.9023,697.0011,451.00.042
No167171.4328,629.00
ResolveYes157143.8622,585.5010,182.500<0.001
No166179.1629,740.50
APGAR TotalYes151142.7221,551.0010,075.0000.005
No163171.1927,904.00
Table 4. Inferential analysis using the Kruskal–Wallis test in families with children with ASD based on the degree of severity.
Table 4. Inferential analysis using the Kruskal–Wallis test in families with children with ASD based on the degree of severity.
Degree of SeverityNAverage RankH Kruskall–Wallisp
AdaptationMild7374.610.4540.797
Moderate5279.38
Severe2878.82
PartnershipMild7372.322.2640.322
Moderate5283.78
Severe2876.63
GrowthMild7072.990.5080.776
Moderate5277.39
Severe2878.27
AffectMild7073.470.3260.850
Moderate5277.48
Severe2876.89
ResolveMild7270.902.7010.259
Moderate5278.16
Severe2785.43
APGAR TotalMild6669.051.0900.580
Moderate5276.28
Severe2776.33
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Serrano, L.; Vela, E.; Martín, L. Analysis of the Functioning of Families of Children with Autism Spectrum Disorder: A Psychometric Study of the Family APGAR Scale. Int. J. Environ. Res. Public Health 2023, 20, 7106. https://doi.org/10.3390/ijerph20237106

AMA Style

Serrano L, Vela E, Martín L. Analysis of the Functioning of Families of Children with Autism Spectrum Disorder: A Psychometric Study of the Family APGAR Scale. International Journal of Environmental Research and Public Health. 2023; 20(23):7106. https://doi.org/10.3390/ijerph20237106

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Serrano, Laura, Esther Vela, and Laura Martín. 2023. "Analysis of the Functioning of Families of Children with Autism Spectrum Disorder: A Psychometric Study of the Family APGAR Scale" International Journal of Environmental Research and Public Health 20, no. 23: 7106. https://doi.org/10.3390/ijerph20237106

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