Quality of Life among Mothers of High Functioning Autism Spectrum Disorder (HFASD)Adolescents.
Nur Saadah Mohamad AunSiti Marziah ZakariaAbdul Rahman Ahmad BadayaiIdayu Badilla IdrisTuti Iryani Mohd DaudShima Dyana Mohd FazreePublished in: International journal of environmental research and public health (2022)
Autism Spectrum Disorder (ASD) has become more prevalent globally. The disorder is predominantly characterised by low social skills noted explicitly in people with High Functioning Autism Spectrum Disorder (HFASD). The individuals usually possess a normal or superior intelligence quotient (IQ) but the disability impedes the achievement of their actual high potential, hence compromising their quality of life (QoL). Managing adversities encountered by children with HFASD often compromises the QoL of the entire family. Thus, this study aimed to identify specific domains of QoL among mothers of high-functioning autistic adolescents. The study assessed seven mothers of adolescents with HFASD using a semi-structured interview format. A thematic qualitative analysis was conducted to analyse the data. The results suggested that mothers perceived their QoL based on physical and emotional well-being, material well-being, interpersonal relationship, and environmental well-being. Intervention for HFASD is multidisciplinary, which targets a broad spectrum of symptoms and skills deficits and customises the programme to meet each individual's different needs. Nonetheless, intervention facilities in Malaysia are seriously limited, particularly in supporting QoL for children with HFASD. Therefore, by identifying the domains of QoL would improve the mothers' resilience in raising their children with HFASD.
Keyphrases
- autism spectrum disorder
- young adults
- physical activity
- attention deficit hyperactivity disorder
- intellectual disability
- randomized controlled trial
- mental health
- traumatic brain injury
- multiple sclerosis
- healthcare
- systematic review
- climate change
- clinical trial
- risk assessment
- big data
- human health
- machine learning
- life cycle