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Article

Understanding the Relationship between Distress Behaviour and Health Status of People with Autism Spectrum Disorder

by
Antonio Koceski
1,
Callum J. Smith
2,3,
Yasir Ahmed Syed
2,3,* and
Vladimir Trajkovski
4,*
1
Primary School “Blaze Koneski”, 7500 Prilep, North Macedonia
2
Neuroscience and Mental Health Innovation Institute, Hadyn Ellis Building, Cardiff CF24 4HQ, UK
3
School of Bioscience, Cardiff University, The Sir Martin Evans Building, Museum Ave., Cardiff CF10 3AX, UK
4
Macedonian Scientific Society for Autism, Institute of Special Education and Institute of Special Education and Rehabilitation, Faculty of Philosophy, University “Ss. Cyril and Methodius”, 1000 Skopje, North Macedonia
*
Authors to whom correspondence should be addressed.
Healthcare 2023, 11(11), 1565; https://doi.org/10.3390/healthcare11111565
Submission received: 13 March 2023 / Revised: 30 April 2023 / Accepted: 18 May 2023 / Published: 26 May 2023
Browse Figures
Versions Notes

Abstract

:
Autism Spectrum Disorder (ASD) is associated with complex distress and challenging behaviours that have a negative impact on the everyday life of those with ASD, as well as their parents and carers. These challenging behaviours include negative emotional behaviours, motor behaviours, and changes in routines. Even though challenging behaviours occur in most subjects with ASD, the cause of these largely remains unknown. It has been implicated that these challenging behaviours are associated with a change in the health of those with ASD. More research needs to be conducted that can establish a direct association. Towards this goal, the present study aimed to explore whether health status had an impact on the distressing behaviour in the subjects diagnosed with ASD. We analysed the response from the parents/carers in a Macedonian population of those with ASD, to determine which challenging behaviours were most likely to be observed during a change in health. Based on a scoring system, the manifestation of challenging behaviour was evaluated and compared with the changes in health. Changes in appetite or dietary preferences, irritability and low mood, and loss of previously acquired skills had the greatest association with a change in health. These findings provide early insight into types of challenging behaviours that are directly associated with a change in health. Our results demonstrate a relationship between health status and challenging behaviour in the subject with autism, suggesting that caregivers may need to consider this when choosing strategies for managing challenging behaviour.

1. Introduction

Autism Spectrum Disorder (ASD) is associated with complex challenging behaviours that interfere with the everyday life of those with ASD and those who care for them [1]. Challenging behaviours can be defined as a type of behaviour that is not socially acceptable, affects their education, and physically harms the individual and others. These behaviours include negative emotional behaviours, motor behaviour, vocalisations, changes in routines, and habits. Research shows that up to 94.3% of the children and adolescents with ASD demonstrate at least one challenging behaviour [2] regardless of their gender [3]. Challenging behaviour in ASD could be due to an intentional effort to communicate and or related to sensory stimming. It can also be in response to the onset of fear, distress, aggression, muscle weakness, and digestive discomfort and need to be interpreted within the context of the patient’s environment, communication skills, and other co-morbidities [4,5]. Some of the pathobiological processes that are associated with ASD, might also result in challenging behaviours, which could be outside subject’s control [6]. An additional factor in the incidence of challenging behaviours is the severity of symptomatology, IQ, and functional status of the individual with ASD [2,4].
It has been shown that changes in the health of the individual with ASD are associated with the manifestation of challenging behaviours. According to Buie et al. (2010), challenging behaviours such as irritability and low mood, anxiety, tantrums, self-harm, loss of previously acquired skills, motor behaviours, and aggression can be due to changes in health status [7]. These changes in health may include otitis media, otitis externa, pharyngitis, sinusitis, epilepsy, dental abscess, constipation, urinary tract infection, fracture, headache, esophagitis, gastritis, colitis, allergies, and others [8,9,10]. It has been suggested that those with low-functioning ASD often have more severe health problems, and this could lead to more frequent and serious manifestations of challenging behaviours, such as anger management issues, aggression, environmental destruction, socially inappropriate behaviour, and self-harm [11]. Furthermore, it has been shown that there is an association between the manifestation of challenging behaviours and sleep disorders such as obstructive sleep apnoea [12,13]. Eating disorders [14], aggressive behaviour [15], and post-traumatic stress disorder [16] have also been shown to be associated with the manifestation of challenging behaviours.
Given that some changes in health can be obvious to those who care for individuals with ASD, it can be relatively easy to determine which health changes are associated with the manifestations of challenging behaviours. Although, most changes in health are not obvious to carers of those with ASD. For example, children with ASD can have endocrinological and metabolic abnormalities that are not detectable without the right clinical knowledge and diagnosis. Furthermore, communication is difficult for those with ASD and therefore, they are not able to verbally communicate their symptoms to carers. Therefore, challenging behaviours can be seen as a method of communication and an attempt to convey a problem with their health. Without proper intervention, these behaviours tend to continue and may even worsen, to become a chronic behavioural problem [17,18]. This will lead to an increase in careering responsibilities and burden on the families of the subjects with ASD [7]. If the cause of the challenging behaviour is a change in the health of the individual, then the correct medical intervention to treat the health condition is likely to result in the resolution of the challenging behaviours.
By determining which challenging behaviours are frequently present during a change in health, then these behaviours could be used as an indication of a medical problem. This is likely to prompt parents/carers to seek medical attention to be more vigilant of other signs of illness. As very few studies have documented the challenging behaviour that is observed during a change in the health of those with ASD [7,9], we aimed to address this knowledge gap. We conducted a retrospective cohort study in which questionnaires were sent to carers/parents of those with ASD in a Macedonian population. Participants provided information on behaviours that were observed during a change in the health of the individual with ASD. We sought to determine which challenging behaviours were frequently observed during a change in health and determine if there is a correlation between these behaviours.

2. Methods

2.1. Research Setting and Design

The study was approved by the faculty of Philosophy in Skopje Institutional Review Board approval (10-487/5). This study includes a total of 72 respondents residing in North Macedonia with diagnosed ASD according to the DSM-5 criteria. The age of the respondents ranges from 3 to 24 years. The number of particpants <10 years was 29, between 11–20 years was 42, and >20 years was 1. The research was conducted in the period from January to July 2019 in most areas of North Macedonia (Skopje, Bitola, Prilep, Veles, Tetovo, Ohrid, Struga, Stip, Kicevo, Kavadarci, and the village of Krivogashtani). The participants of the study were sourced through the Macedonian Scientific Society for Autism, which provided direct contact with the institutions for access to the target groups, which was conducted through a telephone conversation with a parent/guardian. The institutions in which the research was conducted were the Special Schools “Idnina” and “Zlatan Sremac” in Skopje, Daily Center for Autism in Skopje, non-governmental organisation “Open the windows” in Skopje, Center for Psycho-Physical Health, “Gaspar” in Skopje, Primary School “Kocho Racin” in Bitola, “Institute for Rehabilitation of Hearing, Speech and Voice” in Bitola, Public Institution Kindergarten “Our Future” in Prilep. In other cities, the data were taken by telephone. The respondents have made a diagnosis in the appropriate centres and institutions in the territory of North Macedonia.

2.2. Design and Measures

Information on challenging behaviours was collected through a survey completed by the parents/guardians of the individuals with ASD using the “Challenging Behaviour Questionnaire” which aims to determine how often challenging behaviours occur, whether the presence of these challenging behaviours was closely related to changes in health status and whether the challenging behaviours continued to persist even after the health status had improved. The questionnaire consists of a list of challenging behaviours was based on a previously published study [7]. The questionaire asked the participants asked to identify the different challenging behaviours observed in the individual with ASD and whether the reason for the onset of this behaviour has an association with changes in their health status, with participants answering yes or no to each behaviour. A numerical scale from 1 to 5 was also included for each behaviour to allow the participants to score the reliability and severity of the behaviour.

2.3. Data Analysis

The data from this research were graphically processed and tabulated in the statistical software SSPS V.26.0. Statistical analysis was performed using the One-Sample t-Test as no comparison had been made across variables. Correlation analysis was performed to see the correlation between the results obtained from the subjects. A 95% confidence interval, mean score (μ), and Pearson’s correlation coefficient (r) across challenging behaviour types were used. The statistical significance was determined at the level of p < 0.05.

3. Results

3.1. Demographic Characteristics of the Participants

A total of 72 respondents were included in this analysis. Table 1 shows the respondent demographic data. Of these, a total of 15 respondents (21%) were female and 57 respondents (79%) male, with a female-to-male ratio of 1:3.8 (Figure 1A and Table 2). The age range of respondents was 3–24 years (Figure 1B); the average height, weight, and waist circumference of the cohort being 142.60 ± 26.06 cm, 46.26 ± 20.15 kg, 63.46 ± 20.13 cm, respectively (Table 1).

3.1.1. Challenging Behaviours Observed during a Change in Health Status

Challenging behaviours were grouped into associated behaviours such as negative emotional behaviours, changes in routine and skill, and motor and vocal behaviour. Types of challenging behaviour (Table 2), the frequency in which the challenging behaviour occurred, and the correlation between behaviours was investigated using the participant data.

3.1.2. Negative Emotional Behaviours

Negative emotional behaviours are commonly observed in individuals with ASD and impact the family and carers around them. When assessing these behaviours in our cohort we found increased irritability and low mood was the most frequently documented behaviour (59.7%) followed by agitation (44.4%), aggression (36.10%), avoidance behaviour (29.2%), tantrums (26.4%), and self-harm (18.1%) (Table 2). As these behaviours are not usually present alone, we further determined if there are any significant correlations between these behaviours (Figure 2). Increased irritability and low mood were found to be significantly correlated with anxiety (r = 0.301; p = 0.01) and avoidant behaviour (r = 0.259; p = 0.028). When looking at the most significant behavioural correlations for the other negative behaviours, agitation and self-harm both correlated with crying for no reason (r = 0.655; p = 0.000) (r = 0.453; p = 0.000), aggression and avoidant behaviour both correlated with frequent blinking, sudden screaming, turning in a circle and fixed gaze (r = 0.468; p = 0.000) (r = 0.431; p = 0.000), and tantrums correlated with facial grimaces (r = 0.403; p = 0.000). Further correlations between behaviours are shown in Figure 2.

3.1.3. Changes in Routine and Skills

Routine is important for those with ASD and any deviation from these routines can be difficult for them to manage. When assessing changes in routine, we found changes in appetite or dietary requirement (52.8%) and alterations in sleeping patterns (30.6%), Table 2). As changes in routine can significantly disrupt those with ASD, we conducted a correlation to determine if there is an association between changes in routine and specific challenging behaviours. Changes in appetite correlated significantly with increased irritability and low mood (r = 0.244, p = 0.039), and alterations in sleep patterns correlated with avoidant behaviour (r = 0.386, p = 0.001). Furthermore, individuals with ASD have difficulty in the acquisition and maintenance of new skills; when assessing this within our cohort 29.1% of respondents reported participants experienced a loss of previously acquired skills. We further looked at which challenging behaviours this loss of skill was associated with and found that it was significantly correlated with tantrums (r = 0.0378; p = 0.001). Further correlations between behaviours are shown in Figure 2.

3.1.4. Motor and Vocal Behaviour

Repetitive motor behaviours are a key feature of ASD and were observed in 39% of our cohort. Other motor behaviours that were reported included frequent blinking, sudden screaming, turning in a circle and fixed gaze (38.9%), covering the ears with the hands (37.5%), teeth grinding (bruxism) (34.7%), putting objects in the mouth (30.6%), and facial grimaces (tics) (30%) (Table 2). When looking at which challenging behaviours these motor behaviours had the most significant correlation with, we found that frequent blinking, sudden screaming, turning in a circle and fixed gaze correlated with aggression (r = 0.468, p = 0.000), and both covering the ears with the hands and repetitive movements had the highest correlation with one another (r = 0.433; p = 0.000). Furthermore, teeth grinding correlated with frequent vocal expressions (r = 0.413; p = 0.000), putting objects in the mouth correlated with crying for no reason (r = 0.386; p = 0.001), and facial grimaces correlated with tantrums (r = 0.403; p = 0.000). In our cohort, frequent vocal expressions were reported in 33.3% of participants and crying for no apparent reason in 31.9% (Table 2). When looking at which behaviours these vocalisations correlate the most with, we found that frequent vocal expressions significantly correlated with both requests for tactility (r = 0.413; p = 0.000) and teeth grinding (r = 0.413; p = 0.000). Crying for no reason correlated with agitation (r = 0.655; p = 0.000). In addition, requests for the tactility of body parts were reported in 26.4% of respondents and were found to correlate with frequent vocal expression most significantly (r = 0.413; p = 0.000). Further correlations between behaviours are shown in Figure 2.

3.2. The Relationship between Challenging Behavioural Outcomes with Health Status

Next, we sought to determine which behaviours are the most frequent with changes in health. We found that changes to appetite or dietary preferences were the challenging behaviour that had the greatest mean score for its association with a change in health (Table 3, μ = 4.029). Other challenging behaviours that had a high mean score included irritability and low mood (μ = 4.023), loss of previously acquired skills (μ = 3.952), vocal expressions (μ = 3.792), frequent blinking, sudden screaming, turning in a circle and fixed gaze (μ = 3.786), request for tactility (μ = 3.737), and agitation (μ = 3.656). The score for other challenging behaviours can be seen in Table 3.

4. Discussion

Autistic children and teenagers may have multiple health concerns and challenging behaviours. However, the relationship between these two distinct clinical phenotypes is poorly understood. This knowledge is important to provide evidence-based treatment approaches by clinicians at specialised service centres and for caregivers to provide support and management strategies for the affected individuals. Furthermore, these behaviours might indicate a new or worsening health problem. To address this knowledge gap, we aimed to determine which challenging behaviours are frequently observed during a change in health in the Macedonian population. Altered appetite or dietary preferences, observed in over half of our participants (52.8%) was one of the significant challenging behaviours associated with changes in health. These findings are in alignment with previously published studies that report selective eating patterns in children with ASD [14]. Although, changes to appetite during illness are not isolated to those with ASD, as most children that experience illness has been shown to have a reduced food intake by 15–20% whilst experiencing upper respiratory infections, diarrhoea, or fevers [19]. However, food selectivity has been shown to occur more frequently in children with ASD compared to those without [20], for which the biological basis largely remains unknown. Some studies have suggested atypical sensory stimulation to be the likely cause towards food selectivity [21,22]. This food selectively in autistic children might impact nutritional adequacy, leading to compromised health of the affected individual [23]. Several studies suggest that children with autism with age is likely to outgrow the tendency of food selectivity [24,25]. It remains to be seen in upcoming studies if this holds true in the Macedonian cohort.
We also found that the loss of previously acquired skills was one of the most significantly associated behaviours with a change in health status. Published studies have reported that a loss of skill, or developmental regression, occurs in around one-third of young children with ASD [26,27,28]. While others do not find any developmental regression in autistic children [29,30]. To our knowledge, our study provides, for the first time, evidence demonstrating that the loss of skills is attributed to a change in health. Although we cannot conclude that a change in health is the cause of this loss of acquired skill, we can speculate that this might have arisen due to cortical malformation and can be associated with the excitatory inhibitory balance of cortical neurons [31,32]. It is likely that health conditions have negative impacts on functional cortical connectivity, which has been shown to be comprised in subjects with ASD [33,34]. We propose that the physiological effects of a health condition may be the catalyst that causes the regression seen in those with ASD. Although, due to the nature of this study, we were unable to conclude which types of health conditions were associated with the loss of a previously acquired skill. Therefore, this warrants further research into the specific changes in health that are associated with challenging behaviours in ASD.
As it is difficult for those with ASD to communicate with carers/parents, treatment of illness or other health conditions unrelated to ASD may be delayed. By demonstrating in our study that changes in appetite or dietary preference, increased irritability and low mood, loss of previously acquired skills, and vocal expression were associated with a change in health, we propose these behaviours can be used by parents/carers as an early indicator that the individual with ASD may be experiencing illness and to be vigilant for any changes in health to discuss it medical professionals for early intervention. Although, due to the subjective nature and variability between behaviours, it is difficult to assume the behaviours stated above apply to all those with ASD. Therefore, the use of behavioural changes to prompt medical-seeking behaviour should not be used as an isolated way of determining changes in health, but in conjunction with other accessible ways of determining signs of illness.
The questionnaire distributed to parents/carers was formed of challenging behaviours that were those suggested in a study by Biue et al. [7]. Although the behaviours suggested in the above study were for abdominal pain, we felt these suggested behaviours may manifest in a wider range of health conditions. The design of this study has an advantage in that it allows us to look at a broad range of health problems and behaviours, thus increasing our chances of finding associations between them. It also has the advantage of the direct caregiver of the subject, who can accurately report on the behaviour of the subject. However, it also has limitations; if the symptoms were not suspected of the behaviours, then no investigation may have been done to look for health problems, resulting in the under-reporting of symptoms associated with a change in health. Furthermore, our study design was limited by the subjective nature of behavioural observations made by the parents/carers and did not provide us with in-depth detail regarding the severity of changes in health. We propose that a functional behavioural assessment could be conducted during a change in health to further understand these observed difficult behaviours.
Although the parents and caregivers are the ones who are more familiar with challenging behaviour, parenting self-efficacy could have influenced the outcome of this study. This could primarily be due to a lack of communication deficits in autistic children and parents. It has been demonstrated that, in comparison to paternal parents, mothers of young autistic children are likely to get more stressed [35,36]. This suggests that scores given by parents or caregivers to questioners are likely to have been influenced by gender and the understanding of questions by caregivers. Furthermore, some studies have suggested that parents of borderline or subthreshold autism are more stressed in comparison to parents of children with severe autism [37], suggesting that the clinical phenotype of children might also have influenced the score given by the parents. We acknowledge that the non-inclusion of the control group is a limitation of our study, and we did not include it as we wanted to first establish the behavioural phenotype in autistic individuals.
In this study, we looked at the correlation between different types of challenging behaviours and health conditions, but we did not have enough information to establish the association between health conditions and changes in behaviour. However, our study design had limitations; it was not able to establish an association with types of health conditions and manifestation of challenging behaviour. In future questionnaires, we suggest that questions regarding the types of health conditions that are associated with challenging behaviours be included, which would also help to validate the working model we have proposed (Figure 2B). This will allow us to determine which types of health conditions are associated with difficult behaviours in autism spectrum disorders. We propose that functional behavioural assessment could be conducted during hospital admission or GP consultation, as well as collecting the relevant clinical information of the admission or consultation. Future prospective studies will give better insight if these calling behaviour regressed or compounded with age and if these are associated with health status.

5. Conclusions

Our study provides early evidence that changes in health are important influences of challenging behaviours in subjects with Autism Spectrum Disorder in the Macedonian population. We found that appetite or dietary preferences, irritability and low mood, and loss of previously acquired skills were associated with changes in health. Based on this we recommend that caregivers and family members should look out for the distress behaviours for better management to improve the psychological wellbeing of the person with ASD. The future direction of this work is on the physiological causation of these observed challenging behaviours arising from a change in health.

Author Contributions

Conceptualization, Design and Methodology: V.T. and A.K.; Conduction of the study: V.T. and A.K.; Statistical analysis and interpretation: A.K., C.J.S. and Y.A.S.; Writing—review and editing: A.K., C.J.S., Y.A.S. and V.T. All authors contributed to the article and approved the submitted version. All authors have read and agreed to the published version of the manuscript.

Funding

Y.A.S. was funded by Cardiff University.

Informed Consent Statement

The study was approved by the faculty of Philosophy in Skopje Institutional Review Board approval (10-487/5). All the task performed in the current study was done in accordance with ethical standards and guidelines of the institute and Declaration of Helsinki.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

We would like to thank members of the research team who participated in data collection and all the children, and their parents support throughout the course of this study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, (DSM–5), 5th ed; American Psychiatric Publishing: Arlington, VA, USA, 2013. [Google Scholar]
  2. Matson, J.L.; Dempsey, T.; Fodstad, J.C. Stereotypies and repetitive/restrictive behaviours in infants with autism and pervasive developmental disorder. Dev. Neurorehabilit. 2009, 12, 122–127. [Google Scholar] [CrossRef]
  3. Kozlowski, A.M.; Matson, J.L. An examination of challenging behaviors in autistic disorder versus pervasive developmental disorder not otherwise specified: Significant differences and gender effects. Res. Autism Spectr. Disord. 2012, 6, 319–325. [Google Scholar] [CrossRef]
  4. Leader, G.; Tuohy, E.; Chen, J.L.; Mannion, A.; Gilroy, S.P. Feeding Problems, Gastrointestinal Symptoms, Challenging Behavior and Sensory Issues in Children and Adolescents with Autism Spectrum Disorder. J. Autism Dev. Disord. 2020, 50, 1401–1410. [Google Scholar] [CrossRef]
  5. Leader, G.; Flynn, C.; O’Rourke, N.; Coyne, R.; Caher, A.; Mannion, A. Comorbid Psychopathology, Challenging Behavior, Sensory Issues, Adaptive Behavior and Quality of Life in Children and Adolescents with Autism Spectrum Disorder. Dev. Neurorehabilit. 2021, 24, 397–407. [Google Scholar] [CrossRef]
  6. Narayanan, A.; White, C.A.; Saklayen, S.; Scaduto, M.J.; Carpenter, A.L.; Abduljalil, A.; Schmalbrock, P.; Beversdorf, D.Q. Effect of propranolol on functional connectivity in autism spectrum disorder—A pilot study. Brain Imaging Behav. 2010, 4, 189–197. [Google Scholar] [CrossRef]
  7. Buie, T.; Campbell, D.B.; Fuchs, G.J., 3rd; Furuta, G.T.; Levy, J.; Vandewater, J.; Whitaker, A.H.; Atkins, D.; Bauman, M.L.; Beaudet, A.L.; et al. Evaluation, diagnosis, and treatment of gastrointestinal disorders in individuals with ASDs: A consensus report. Pediatrics 2010, 125 (Suppl. S1), S1–S18. [Google Scholar] [CrossRef]
  8. Murata, E.; Mohri, I.; Kato-Nishimura, K.; Iimura, J.; Ogawa, M.; Tachibana, M.; Ohno, Y.; Taniike, M. Evaluation of behavioral change after adenotonsillectomy for obstructive sleep apnea in children with autism spectrum disorder. Res. Dev. Disabil. 2017, 65, 127–139. [Google Scholar] [CrossRef]
  9. Fortuna, R.J.; Robinson, L.; Smith, T.H.; Meccarello, J.; Bullen, B.; Nobis, K.; Davidson, P.W. Health Conditions and Functional Status in Adults with Autism: A Cross-Sectional Evaluation. J. Gen. Intern. Med. 2016, 31, 77–84. [Google Scholar] [CrossRef]
  10. Kohane, I.S.; McMurry, A.; Weber, G.; MacFadden, D.; Rappaport, L.; Kunkel, L.; Bickel, J.; Wattanasin, N.; Spence, S.; Murphy, S.; et al. The co-morbidity burden of children and young adults with autism spectrum disorders. PLoS ONE 2012, 7, e33224. [Google Scholar] [CrossRef]
  11. Milosavljevic, B.; Leno, V.C.; Simonoff, E.; Baird, G.; Pickles, A.; Jones, C.R.G.; Erskine, C.; Charman, T.; Happé, F. Alexithymia in Adolescents with Autism Spectrum Disorder: Its Relationship to Internalising Difficulties, Sensory Modulation and Social Cognition. J. Autism Dev. Disord. 2016, 46, 1354–1367. [Google Scholar] [CrossRef]
  12. Giannotti, F.; Cortesi, F.; Cerquiglini, A.; Vagnoni, C.; Valente, D. Sleep in children with autism with and without autistic regression. J. Sleep Res. 2011, 20, 338–347. [Google Scholar] [CrossRef] [PubMed]
  13. Cohen, S.; Conduit, R.; Lockley, S.W.; Rajaratnam, S.M.; Cornish, K.M. The relationship between sleep and behavior in autism spectrum disorder (ASD): A review. J. Neurodev. Disord. 2014, 6, 44. [Google Scholar] [CrossRef] [PubMed]
  14. Cermak, S.A.; Curtin, C.; Bandini, L.G. Food selectivity and sensory sensitivity in children with autism spectrum disorders. J. Am. Diet. Assoc. 2010, 110, 238–246. [Google Scholar] [CrossRef]
  15. Fitzpatrick, S.E.; Srivorakiat, L.; Wink, L.K.; Pedapati, E.V.; Erickson, C.A. Aggression in autism spectrum disorder: Presentation and treatment options. Neuropsychiatr. Dis. Treat. 2016, 12, 1525–1538. [Google Scholar]
  16. Fuld, S. Autism Spectrum Disorder: The Impact of Stressful and Traumatic Life Events and Implications for Clinical Practice. Clin. Soc. Work. J. 2018, 46, 210–219. [Google Scholar] [CrossRef]
  17. Vladimir, T. Health Condition in Persons with Autism Spectrum Disorders. J. ReAttach Ther. Dev. Divers. 2018, 1, 112–124. [Google Scholar]
  18. Matson, J.L.; Sipes, M.; Fodstad, J.C.; Fitzgerald, M.E. Issues in the management of challenging behaviours of adults with autism spectrum disorder. CNS Drugs 2011, 25, 597–606. [Google Scholar] [CrossRef]
  19. Pereira, S.M.; Begum, A. The influence of illnesses on the food intake of young children. Int. J. Epidemiol. 1987, 16, 445–450. [Google Scholar]
  20. Kazek, B.; Brzoska, A.; Paprocka, J.; Iwanicki, T.; Koziol, K.; Kapinos-Gorczyca, A.; Likus, W.; Ferlewicz, M.; Babraj, A.; Buczek, A.; et al. Eating Behaviors of Children with Autism-Pilot Study, Part II. Nutrients 2021, 13, 3850. [Google Scholar] [CrossRef]
  21. Bandini, L.G.; Curtin, C.; Eliasziw, M.; Phillips, S.; Jay, L.; Maslin, M.; Must, A. Food selectivity in a diverse sample of young children with and without intellectual disabilities. Appetite 2019, 133, 433–440. [Google Scholar]
  22. Kinnaird, E.; Norton, C.; Pimblett, C.; Stewart, C.; Tchanturia, K. Eating as an autistic adult: An exploratory qualitative study. PLoS ONE 2019, 14, e0221937. [Google Scholar] [CrossRef] [PubMed]
  23. Esteban-Figuerola, P.; Canals, J.; Fernandez-Cao, J.C.; Val, V.A. Differences in food consumption and nutritional intake between children with autism spectrum disorders and typically developing children: A meta-analysis. Autism 2019, 23, 1079–1095. [Google Scholar] [CrossRef] [PubMed]
  24. Beighley, J.S.; Matson, J.L.; Rieske, R.D.; Adams, H.L. Food selectivity in children with and without an autism spectrum disorder: Investigation of diagnosis and age. Res. Dev. Disabil. 2013, 34, 3497–3503. [Google Scholar] [CrossRef]
  25. Bandini, L.G.; Curtin, C.; Phillips, S.; Anderson, S.E.; Maslin, M.; Must, A. Changes in Food Selectivity in Children with Autism Spectrum Disorder. J. Autism Dev. Disord. 2017, 47, 439–446. [Google Scholar] [CrossRef]
  26. Parr, J.R.; Le Couteur, A.; Baird, G.; Rutter, M.; Pickles, A.; Fombonne, E.; Bailey, A.J.; The International Molecular Genetic Study of Autism Consortium (IMGSAC). Early developmental regression in autism spectrum disorder: Evidence from an international multiplex sample. J. Autism Dev. Disord. 2011, 41, 332–340. [Google Scholar] [CrossRef]
  27. Serret, S.; Thummler, S.; Dor, E.; Vesperini, S.; Santos, A.; Askenazy, F. Lithium as a rescue therapy for regression and catatonia features in two SHANK3 patients with autism spectrum disorder: Case reports. BMC Psychiatry 2015, 15, 107. [Google Scholar] [CrossRef]
  28. Neul, J.L.; Lane, J.B.; Lee, H.S.; Geerts, S.; Barrish, J.O.; Annese, F.; Baggett, L.M.; Barnes, K.; Skinner, S.A.; Motil, K.J.; et al. Developmental delay in Rett syndrome: Data from the natural history study. J. Neurodev. Disord. 2014, 6, 20. [Google Scholar] [CrossRef]
  29. Siperstein, R.; Volkmar, F. Brief report: Parental reporting of regression in children with pervasive developmental disorders. J. Autism Dev. Disord. 2004, 34, 731–734. [Google Scholar] [CrossRef]
  30. Richler, J.; Luyster, R.; Risi, S.; Hsu, W.L.; Dawson, G.; Bernier, R.; Dunn, M.; Hepburn, S.; Hyman, S.L.; McMahon, W.M.; et al. Is there a ‘regressive phenotype’ of Autism Spectrum Disorder associated with the measles-mumps-rubella vaccine? A CPEA Study. J. Autism Dev. Disord. 2006, 36, 299–316. [Google Scholar] [CrossRef]
  31. Itahashi, T.; Yamada, T.; Nakamura, M.; Watanabe, H.; Yamagata, B.; Jimbo, D.; Shioda, S.; Kuroda, M.; Toriizuka, K.; Kato, N.; et al. Linked alterations in gray and white matter morphology in adults with high-functioning autism spectrum disorder: A multimodal brain imaging study. Neuroimage Clin. 2015, 7, 155–169. [Google Scholar] [CrossRef]
  32. Uzunova, G.; Pallanti, S.; Hollander, E. Excitatory/inhibitory imbalance in autism spectrum disorders: Implications for interventions and therapeutics. World J. Biol. Psychiatry 2016, 17, 174–186. [Google Scholar] [CrossRef] [PubMed]
  33. Lewis, J.D.; Evans, A.C.; Pruett, J.R., Jr.; Botteron, K.N.; McKinstry, R.C.; Zwaigenbaum, L.; Estes, A.M.; Collins, D.L.; Kostopoulos, P.; Gerig, G.; et al. The Emergence of Network Inefficiencies in Infants with Autism Spectrum Disorder. Biol. Psychiatry 2017, 82, 176–185. [Google Scholar] [CrossRef] [PubMed]
  34. Hazlett, H.C.; Gu, H.; Munsell, B.C.; Kim, S.H.; Styner, M.; Wolff, J.J.; Elison, J.T.; Swanson, M.R.; Zhu, H.; Botteron, K.N.; et al. Early brain development in infants at high risk for autism spectrum disorder. Nature 2017, 542, 348–351. [Google Scholar] [CrossRef]
  35. Tehee, E.; Honan, R.; Hevey, D. Factors Contributing to Stress in Parents of Individuals with Autistic Spectrum Disorders. J. Appl. Res. Intellect. Disabil. 2009, 22, 34–42. [Google Scholar] [CrossRef]
  36. Herring, S.; Gray, K.; Taffe, J.; Tonge, B.; Sweeney, D.; Einfeld, S. Behaviour and emotional problems in toddlers with pervasive developmental disorders and developmental delay: Associations with parental mental health and family functioning. J. Intellect. Disabil. Res. 2006, 50 Pt 12, 874–882. [Google Scholar] [CrossRef]
  37. Losh, M.; Childress, D.; Lam, K.; Piven, J. Defining key features of the broad autism phenotype: A comparison across parents of multiple- and single-incidence autism families. Am. J. Med. Genet. B Neuropsychiatr. 2008, 147B, 424–433. [Google Scholar] [CrossRef]
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Figure 1. Demographic status of cohort. (A) Pie chart showing the gender distribution in the cohort. 79% (n = 57) male, and 21% (n = 15) female. (B) Bar graph showing the distribution of the age across cohort. 15.28% (n = 11) 3–6 years, 36.11% (n = 26) 7–10 years, 33.33% (n = 24) 11–14 years, 13.89% (n = 10) 15–18 years, and 1.39% (n = 1) >18 years).
Figure 1. Demographic status of cohort. (A) Pie chart showing the gender distribution in the cohort. 79% (n = 57) male, and 21% (n = 15) female. (B) Bar graph showing the distribution of the age across cohort. 15.28% (n = 11) 3–6 years, 36.11% (n = 26) 7–10 years, 33.33% (n = 24) 11–14 years, 13.89% (n = 10) 15–18 years, and 1.39% (n = 1) >18 years).
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Healthcare 11 01565 g002 550
Figure 2. Correlation between challenging behaviors in those with Autism Spectrum Disorder (ASD). (A) Graph showing Pearson correlation coefficient (r) between challenging behaviours in the cohort. (B) Proposed model showing the relationship of challenging behaviour and health status which can influence the severity of the clinical symptoms associated with Autism Spectrum Disorders.
Figure 2. Correlation between challenging behaviors in those with Autism Spectrum Disorder (ASD). (A) Graph showing Pearson correlation coefficient (r) between challenging behaviours in the cohort. (B) Proposed model showing the relationship of challenging behaviour and health status which can influence the severity of the clinical symptoms associated with Autism Spectrum Disorders.
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Table
Table 1. Demographic data.
Table 1. Demographic data.
MinMaxMeanStd. Deviation
Age32410.534.07
Height76180142.6026.06
Weight159546.2620.15
Volume in half2312863.4620.13
Table
Table 2. Challenging behaviours.
Table 2. Challenging behaviours.
♂ N♀ N%MeanStd. DeviationStd. Error Mean
Loss of previously acquired skills19229.13.950.7400.161
Irritability and low mood341059.74.020.9630.147
Tantrums and oppositional behaviour15426.43.3710.2570.288
Frequent night waking or general sleep disturbance17730.63.5010.1420.233
Change in appetite or dietary preferences281052.84.0810.0240.166
Heightened anxiety and/or avoidance behaviours251252.83.7010.0770.177
Repetitive rocking or other new repetitive movement199393.1810.3620.257
Covering ears with hands21737.53.1810.2780.242
Teeth grinding18734.73.6410.2540.251
Posturing or seeking pressure to specific area17226.43.7410.1950.274
Behaviour around evacuation14729,23.6210.1170.244
Aggression: onset of, or increase in, aggressive behaviour20636.13.6510.1640.228
Self-injurious behaviour: biting, hitting/slapping face, head-banging, unexplained increase in self-injury11218.13.5410.3300.369
Facial grimacing or brow furrowing, wincing, tics195303.0810.3490.275
Mouthing behaviours: chewing on clothes18430.63.090.9210.196
Sobbing ‘for no reason at all’15831.93.610.9880.206
Vocal expressions: moaning, groaning, sighing, whining18633.33.790.9770.199
Agitation: pacing, jumping up and down23944.43.6610.0350.183
Blinking, sudden screaming, spinning and fixed look208383.7910.1010.208
♂ = Male; ♀ = Female.
Table
Table 3. Challenging behaviour and association with changes in health status.
Table 3. Challenging behaviour and association with changes in health status.
95% Confidence Interval of the Difference
tdfSig
(2-Tailed)		Mean.
Diff.		Lower ScoreUpper Score
Loss of previously acquired skills24.475200.00013.9523.624.29
Irritability and low mood27.386420.00014.0233.734.32
Tantrums and oppositional behaviour11.685180.00013.3682.763.97
Frequent night waking or general sleep disturbance15.013230.00013.5003.023.98
Change to appetite or dietary preferences24.566370.00014.0793.744.42
Heightened anxiety and/or avoidance behaviours20.919360.00013.7033.344.06
Repetitive rocking or other new repetitive movement12.346270.00013.1792.653.71
Sensory hyper responsivity: hyperacusis, tactile defensiveness, sensitivity to light14.062220.00013.5223.004.04
Covering ears with hands13.159270.00013.1792.683.67
Teeth grinding14.510240.00013.6403.124.16
Posturing or seeking pressure to specific area13.636180.00013.7373.164.31
Behaviour around evacuation14.848200.00013.6193.114.13
Aggression: onset of, or increase in, aggressive behaviour16.003250.00013.6543.184.12
Self-injurious behaviour: biting, hitting/slapping face, head-banging, unexplained increase in self-injury9.592120.00013.5382.734.34
Facial grimacing or brow furrowing, wincing, tics11.200230.00013.0832.513.65
Mouthing behaviours: chewing on clothes15.739210.00013.0912.683.50
Sobbing ‘for no reason at all’17.516220.00013.6093.184.04
Vocal expressions: moaning, groaning, sighing, whining19.011230.00013.7923.384.20
Agitation: pacing, jumping up and down19.980310.00013.6563.284.03
Blinking, sudden screaming, spinning, and fixed look18.199270.00013.7863.364.21
t—two tailed t-test: df; degrees of freedom: Sig: Significance level.
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Koceski, A.; Smith, C.J.; Syed, Y.A.; Trajkovski, V. Understanding the Relationship between Distress Behaviour and Health Status of People with Autism Spectrum Disorder. Healthcare 2023, 11, 1565. https://doi.org/10.3390/healthcare11111565

AMA Style

Koceski A, Smith CJ, Syed YA, Trajkovski V. Understanding the Relationship between Distress Behaviour and Health Status of People with Autism Spectrum Disorder. Healthcare. 2023; 11(11):1565. https://doi.org/10.3390/healthcare11111565

Chicago/Turabian Style

Koceski, Antonio, Callum J. Smith, Yasir Ahmed Syed, and Vladimir Trajkovski. 2023. "Understanding the Relationship between Distress Behaviour and Health Status of People with Autism Spectrum Disorder" Healthcare 11, no. 11: 1565. https://doi.org/10.3390/healthcare11111565

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