The Impact of Parenting Stress: A Meta-analysis of Studies Comparing the Experience of Parenting Stress in Parents of Children With and Without Autism Spectrum Disorder

2012 ◽  
Vol 43 (3) ◽  
pp. 629-642 ◽  
Author(s):  
Stephanie A. Hayes ◽  
Shelley L. Watson
Keyword(s):  
Autism Spectrum Disorder ◽  
Parenting Stress ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
The Impact

Potential Factors of Parenting Stress in Chinese Parents of Children With Autism Spectrum Disorder: A Systematic Review

2021 ◽  
pp. 108835762110125
Author(s):  
Catalina Sau Man Ng ◽  
Yuan Fang ◽  
Zixin Wang ◽  
Mengge Zhang
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Parenting Stress ◽  
Parental Stress ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Public Health Issue ◽  
Chinese Parents ◽  
Potential Factors ◽  
The Impact

The sizable prevalence of autism spectrum disorder (ASD) in China has recently emerged as an urgent public health issue, however studies investigating parenting stress in Chinese parents of children with ASD lack clarity in identifying the potential factors of stress. The aim of this systematic review was to identify and categorize the potential factors of stress based on findings in the literature. An extensive search of articles in online databases including PubMed, Web of Science, and EBSCOhost (ERIC, MEDLINE and PsycINFO) was conducted, as a result of which 24 eligible articles published from 2007 to 2019 were identified. Four key categories of potential factors of parental stress – cultural factors, parents’ psychopathological symptoms, problem behaviors in ASD children, and caregiver burden were identified. The impact of these potential factors on parental coping strategies and on the quality of life in affected families were also discussed.

scholarly journals Anxiety and depression in adults with autism spectrum disorder: a systematic review and meta-analysis

2018 ◽  
Vol 49 (4) ◽  
pp. 559-572 ◽  
Author(s):  
Matthew J Hollocks ◽  
Jian Wei Lerh ◽  
Iliana Magiati ◽  
Richard Meiser-Stedman ◽  
Traolach S Brugha
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Anxiety And Depression ◽  
Clinical Samples ◽  
Adults With Autism ◽  
Adults With Asd ◽  
The Impact

AbstractAdults with autism spectrum disorder (ASD) are thought to be at disproportionate risk of developing mental health comorbidities, with anxiety and depression being considered most prominent amongst these. Yet, no systematic review has been carried out to date to examine rates of both anxiety and depression focusing specifically on adults with ASD. This systematic review and meta-analysis examined the rates of anxiety and depression in adults with ASD and the impact of factors such as assessment methods and presence of comorbid intellectual disability (ID) diagnosis on estimated prevalence rates. Electronic database searches for studies published between January 2000 and September 2017 identified a total of 35 studies, including 30 studies measuring anxiety (n= 26 070; mean age = 30.9,s.d.= 6.2 years) and 29 studies measuring depression (n= 26 117; mean age = 31.1,s.d.= 6.8 years). The pooled estimation of current and lifetime prevalence for adults with ASD were 27% and 42% for any anxiety disorder, and 23% and 37% for depressive disorder. Further analyses revealed that the use of questionnaire measures and the presence of ID may significantly influence estimates of prevalence. The current literature suffers from a high degree of heterogeneity in study method and an overreliance on clinical samples. These results highlight the importance of community-based studies and the identification and inclusion of well-characterized samples to reduce heterogeneity and bias in estimates of prevalence for comorbidity in adults with ASD and other populations with complex psychiatric presentations.

scholarly journals Psychoeducation group for parents who raise a child with autism spectrum disorder

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Desvi Yanti Mukhtar ◽  
T Dicky Hastjarjo ◽  
Amitya Kumara ◽  
M G Adiyanti
Keyword(s):  
Autism Spectrum Disorder ◽  
Parenting Stress ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Control Group ◽  
Quasi Experimental ◽  
The Impact ◽  
Experimental Group ◽  
Test Of Knowledge

The aim of the research is to know how the impact of psychoeducation group to the level of parenting stress of parents who raise a child with autism spectrum disorder. This research used quasi experimental method with the design of the untreated control group with dependent pretest and posttest samples. This research involved 25 parents  (20 mothers and 5 fathers) who raise a child with autism spectrum disorder divided into two groups, experimental group and  the control group. The experimental group has received psychoeducation treatment with ecological approach for two months (8 meetings, conducted once a week). This research used Scale of Parenting Stress, observation, test of knowledge about parenting of children with autism spectrum disorder, and sheet of evaluation of psychoeducationactivities  in collecting the data. The result of the analysis with mixed anovahave shown that psychoeducation group has no effect to the level  of parenting stress (F = 0,697 p > 0,05). The result of check manipulation have shown that the knowledge of subject on parenting of children with autism increase after join in the psychoeducation group. The result of the evaluation have  shown that subject get other benefits from the psychoeducation group, for instance make a friend, increase the knowledge about parenting of children with autism spectrum disorder, increase confidence in parenting, more patience, instance optimism and excitement in parenting and facing the future,  be grateful for the condition of the children, realize role and responsibility in parenting child with autism and feel get support from professionals.

Diagnostic test accuracy for use of machine learning in diagnosis of autism spectrum disorder: A Systematic Review and Meta-Analysis (Preprint)

2019 ◽  
Author(s):  
Sun Jae Moon ◽  
Jin Seub Hwang ◽  
Rajesh Kana ◽  
John Torous ◽  
Jung Won Kim
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Meta Analysis ◽  
Learning Algorithms ◽  
Structural Mri ◽  
Autism Spectrum ◽  
Machine Learning Algorithms ◽  
Spectrum Disorder ◽  
Test Accuracy

BACKGROUND Over the recent years, machine learning algorithms have been more widely and increasingly applied in biomedical fields. In particular, its application has been drawing more attention in the field of psychiatry, for instance, as diagnostic tests/tools for autism spectrum disorder. However, given its complexity and potential clinical implications, there is ongoing need for further research on its accuracy. OBJECTIVE The current study aims to summarize the evidence for the accuracy of use of machine learning algorithms in diagnosing autism spectrum disorder (ASD) through systematic review and meta-analysis. METHODS MEDLINE, Embase, CINAHL Complete (with OpenDissertations), PsyINFO and IEEE Xplore Digital Library databases were searched on November 28th, 2018. Studies, which used a machine learning algorithm partially or fully in classifying ASD from controls and provided accuracy measures, were included in our analysis. Bivariate random effects model was applied to the pooled data in meta-analysis. Subgroup analysis was used to investigate and resolve the source of heterogeneity between studies. True-positive, false-positive, false negative and true-negative values from individual studies were used to calculate the pooled sensitivity and specificity values, draw SROC curves, and obtain area under the curve (AUC) and partial AUC. RESULTS A total of 43 studies were included for the final analysis, of which meta-analysis was performed on 40 studies (53 samples with 12,128 participants). A structural MRI subgroup meta-analysis (12 samples with 1,776 participants) showed the sensitivity at 0.83 (95% CI-0.76 to 0.89), specificity at 0.84 (95% CI -0.74 to 0.91), and AUC/pAUC at 0.90/0.83. An fMRI/deep neural network (DNN) subgroup meta-analysis (five samples with 1,345 participants) showed the sensitivity at 0.69 (95% CI- 0.62 to 0.75), the specificity at 0.66 (95% CI -0.61 to 0.70), and AUC/pAUC at 0.71/0.67. CONCLUSIONS Machine learning algorithms that used structural MRI features in diagnosis of ASD were shown to have accuracy that is similar to currently used diagnostic tools.

scholarly journals Effectiveness of Equine-Assisted Activities and Therapies for Improving Adaptive Behavior and Motor Function in Autism Spectrum Disorder

2021 ◽  
Vol 10 (8) ◽  
pp. 1726
Author(s):  
Leonardo Zoccante ◽  
Michele Marconi ◽  
Marco Luigi Ciceri ◽  
Silvia Gagliardoni ◽  
Luigi Alberto Gozzi ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Motor Function ◽  
Adaptive Behavior ◽  
Preliminary Evidence ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Parental Distress ◽  
Effective Option ◽  
The Impact ◽  
Equine Assisted

Equine-assisted activities and therapies (EAAT) have been suggested to improve adaptive behavior, and possibly motor function, in autism spectrum disorder (ASD). This study investigated the effects of EAAT on adaptive behavior and motor function in 15 children with ASD (13 males) aged 7–15 years as well as the impact of EAAT on the magnitude of stress in the parent–child system and the evolution in the child interaction with both the trained therapist and the therapeutic animal through the 20 weekly sessions of EAAT. EAAT were associated with greater adaptive behavior and coordination (all p ≤ 0.01) as well as a progressive improvement in the child’s abilities to respond to the increasing complexity of such form of positive behavioral support (all p < 0.001). However, EAAT did not prove to be effective in reducing parental distress. Collectively, preliminary evidence presented here may have important public health implications and gives reason to hope that EAAT could possibly be an effective option in ASD, warranting further investigation of its potential benefits in clinical trials among larger samples.

scholarly journals The Impact of COVID-19 on the Adaptive Functioning, Behavioral Problems, and Repetitive Behaviors of Italian Children with Autism Spectrum Disorder: An Observational Study

Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 96
Author(s):  
Martina Siracusano ◽  
Eugenia Segatori ◽  
Assia Riccioni ◽  
Leonardo Emberti Gialloreti ◽  
Paolo Curatolo ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Behavioral Problems ◽  
Adaptive Functioning ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Repetitive Behaviors ◽  
Assessment System ◽  
Spectrum Disorder ◽  
Adaptive Skills ◽  
The Impact

Children with autism spectrum disorder (ASD) and their families have represented a fragile population on which the extreme circumstances of the COVID-19 outbreak may have doubly impaired. Interruption of therapeutical interventions delivered in-person and routine disruption constituted some of the main challenges they had to face. This study investigated the impact of the COVID-19 lockdown on adaptive functioning, behavioral problems, and repetitive behaviors of children with ASD. In a sample of 85 Italian ASD children (mean age 7 years old; 68 males, 17 females), through a comparison with a baseline evaluation performed during the months preceding COVID-19, we evaluated whether after the compulsory home confinement any improvement or worsening was reported by parents of ASD individuals using standardized instruments (Adaptive Behavior Assessment System (Second Edition), Achenbach Child Behavior Checklist, Repetitive Behavior Scale-Revised). No significant worsening in the adaptive functioning, problematic, and repetitive behaviors emerged after the compulsory home confinement. Within the schooler children, clinical stability was found in reference to both adaptive skills and behavioral aspects, whereas within preschoolers, a significant improvement in adaptive skills emerged and was related to the subsistence of web-delivered intervention, parental work continuance, and online support during the lockdown.

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