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1 – 4 of 4Abd Alhadi Hasan and Amal ALsulami
The purpose of this study is to assess psychological distress among parents of children with autism spectrum disorder (ASD), self-esteem as a predictor of such distress and the…
Abstract
Purpose
The purpose of this study is to assess psychological distress among parents of children with autism spectrum disorder (ASD), self-esteem as a predictor of such distress and the effect of coping strategies.
Design/methodology/approach
A descriptive correlational study design was conducted using a convenient sample of parents of ASD children (N = 93).
Findings
This study revealed that the parents of an ASD child experienced a high level of anxiety (M = 15.89), a moderate level of depression (M = 15.85) and a mild level of stress (M = 16.86). Parents of ASD children also reported a low self-esteem score (M= 13.27). Mothers of ASD children reported higher levels of psychological distress, lower levels of self-esteem and more frequent utilisation of maladaptive coping strategies than fathers of ASD children.
Practical implications
Parents of children with ASD experience a significant level of psychological distress; however, this may be improved by developing programmes and psychological interventions focused on improving parents’ self-esteem and using more active coping strategies.
Originality/value
To the best of the authors’ knowledge, this is the first study conducted in Saudi Arabia that predict the psychological status among family caregivers of an autistic child.
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Abd Alhadi Hasan and Amal Alsulami
The study aims to identify the predictors of depression and anxiety among carers of hospitalized patients with mental illness in Eradah Complex for Mental Health Hospital.
Abstract
Purpose
The study aims to identify the predictors of depression and anxiety among carers of hospitalized patients with mental illness in Eradah Complex for Mental Health Hospital.
Design/methodology/approach
A descriptive correlational study design was conducted using a convenient sample of family carers of patients with mental illness (N = 216). The study used the Beck Depression Inventory and Anxiety Inventory scales.
Findings
The results of regression models revealed that the socio-demographic characteristics of the family carers showed that age is a statistically significant predictor of family carers depression and anxiety scores. In addition, the age of the family carers explained 36% of the variance in the family carers depression and anxiety scores, while marital status explained 64% of the total variance in the family carers’ depression and anxiety scores. Furthermore, having received support in caring significantly predicted depression and anxiety scores, and this was the case for occupation status and being diagnosed with any form of chronic illness.
Practical implications
Based on the findings of this study, the authors opine that evaluations of carers’ cognitive strategies and social support are needed to determine the risk of depression in carers of mental patients.
Originality/value
This study is the one of the limited studies conducted in Saudi Arabia to identify predictor of depression and anxiety among caregivers of hospitalized patients with mental illness. The study has used a validated scales to assess the main study outcomes.
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Puneet Kaur, Amandeep Dhir, Amal Khalifa Alkhalifa and Anushree Tandon
This study is a systematic literature review (SLR) on prior research examining the impact of the nocturnal use of social media platforms on a user's sleep, its dimensions and its…
Abstract
Purpose
This study is a systematic literature review (SLR) on prior research examining the impact of the nocturnal use of social media platforms on a user's sleep, its dimensions and its perceptually allied problems. This SLR aims to curate, assimilate and critically examine the empirical research in this domain.
Design/methodology/approach
Forty-five relevant studies identified from the Scopus and Web of Science (WoS) databases were analyzed to develop a comprehensive research profile, identify gaps in the current knowledge and delineate emergent research topics.
Findings
Prior research has narrowly focused on investigating the associations between specific aspects of social media use behavior and sleep dimensions. The findings suggest that previous studies are limited by research design and sampling issues. We highlight the imperative need to expand current research boundaries through a comprehensive framework that elucidates potential issues to be addressed in future research.
Originality/value
The findings have significant implications for clinicians, family members and educators concerning promoting appropriate social media use, especially during sleep latency.
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Nehad Abid Allah Hamza, Amal Hussein Oliwie, Nejla Mahjoub Said, Isam Abed and Qusay Rasheed
This study aims to investigate experimentally and numerically the thermal analysis of a wavy diverging-converging corrugated enclosure, partitioned into two parts under the effect…
Abstract
Purpose
This study aims to investigate experimentally and numerically the thermal analysis of a wavy diverging-converging corrugated enclosure, partitioned into two parts under the effect of magnetohydrodynamic (MHD) natural convection. The left part was filled with Al2O3/C2H6O2 nanofluid, while the right part was Al2O3/C2H6O2 saturated by a porous medium, featuring a corrugated cylinder at the center. This system is relevant to many engineering applications. Key factors affecting thermal performance, such as nanofluid volume fraction, Darcy number, Hartmann number, inclination angle of MHD and Rayleigh number, were analyzed. This study evaluated the impact of these parameters on stream function, average Nusselt number and isothermal lines under three heat source scenarios: heating the corrugated cylinder, heating the magnetic source and heating the nanofluid, porous media and corrugated walls.
Design/methodology/approach
The main governing equations for the nanofluid flow are mass, momentum and heat transfer, while the porous media are modeled using the Darcy–Brinkmann model. These governing equations are transformed into a dimensionless form and solved numerically using COMSOL 6.0 based on the finite-element method. Dynamic viscosity, density and thermal conductivity equations are used to calculate the properties of the nanofluid at different volume concentrations.
Findings
The results showed that increasing the Rayleigh number (Ra) and Darcy number (Da) increased the Nusselt number by 55%, indicating enhanced heat transfer. A vertical magnetic source (γ = 90°) further improved thermal performance. Conversely, thermal performance decreased with increasing Hartmann number (Ha). The highest Nusselt number was observed when the heat source was applied to the corrugated cylinder, followed by the right side with nanofluid–porous contact and was lowest for the left side with nanofluid contact. Experimental data demonstrated that the presence of a magnetic field can significantly increase the temperature, thereby enhancing heat transfer by natural convection, particularly when the heat source is applied in the region of nanofluid–porous contact.
Originality/value
The primary originality of this work lies in the use of a novel design featuring a diverging-converging structure with a wavy wall. In addition, it uses two types of fluids simultaneously, dividing the enclosure into two sections: the right side contains nanofluid mixed with a porous medium, while the left side is filled with nanofluid only. The system also includes a corrugated cylinder at its center with four undulations. The position of the heat source significantly influences heat dissipation. Therefore, three different positions were examined: heating the cylinder at a constant temperature, heating the left side of the enclosure and heating the right side.
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