Exploratory Study of Cat Adoption in Families of Children with Autism: Impact on Children's Social Skills and Anxiety

Empathy's Crucial Role: Unraveling Impact on Students Bullying Behavior - A Scoping Review

Bullying behavior among students is a serious problem in the educational context and has an impact on victims and perpetrators. Bullying has serious impacts, both emotionally and psychologically, especially for victims who are vulnerable to stress, depression, and even in extreme cases, can lead to suicidal tendencies. Empathy is a key factor in responding to bullying situations. So empathy is an important aspect in reducing bullying behavior. The aim of this research is to explore the role of empathy in bullying behavior in students. The scoping review method was used in this research. The keywords used are empathy, bullying, and students. Search for articles in three databases, namely CINAHL, PubMed, and Scopus. The inclusion criteria in the article search were samples are students (elementary schools students until high schools students) English language, discussion of empathy, publication of articles in the last 10 years (2014-2023), and original research. Grey literature excluded in this scoping review. Data analysis using thematic analysis. The authors found 13 articles that discussed the influence of empathy on bullying behavior in students. Findings from the articles analyzed highlight the complexity of the interactions between affective and cognitive empathy and students behavior in the context of bullying. Students with high levels of empathy tend to be more active in defending victims of bullying, while low levels of empathy tend to reinforce bullying behavior or passive bystander attitudes. Intervention programs that include social and emotional skills training, awareness campaigns, and learning approaches that promote tolerance and respect for diversity can have the potential to reduce the incidence of bullying in students. Increasing understanding and empathetic responses can be an effective strategy in addressing bullying problems in schools and communities.

Acceptability and effects of acquiring an assistance or companion dog for families of children on the autism spectrum

PURPOSE

Assistance and companion dogs have numerous positive effects for family of autistic children, such as supporting their rehabilitation and improving their quality of life. To date, very few studies have compared the effects of both types of dogs. This comparison, considering the limited access to assistance dogs, could be helpful for families wanting to adopt a dog.

METHODS

An explanatory sequential design with a mixed-method approach was used. First, 85 parents (nassistance dogs = 57; ncompanion dogs = 28) of children aged between 3 and 17 years old (M = 10.73, SD = 3.67) completed an online questionnaire including sociodemographic questions and the Treatment Acceptability Rating Form-Revised (TARF-R). Then, 17 of these participants (nassistance dogs = 14; ncompanion dogs = 3) completed a semi-structured interview.

RESULTS

The quantitative data analyses showed that parents with assistance dogs were significantly more satisfied: t (83) = -2.12, p = .037, d = 0.49. Significant associations between some sociodemographic variables (e.g., number of children, comorbid condition, reasons for acquiring a dog) and acceptability/satisfaction (TARF-R total scores) were found. The qualitative analysis revealed that families with both dog types observed positive effects.

CONCLUSIONS

In brief, having an assistance dog constitutes a significant added value; nevertheless, both types of dogs are appreciated.

Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study

BACKGROUND

The increasing use of social media platforms has given rise to an unprecedented surge in user-generated content, with millions of individuals publicly sharing their thoughts, experiences, and health-related information. Social media can serve as a useful means to study and understand public health. Twitter (subsequently rebranded as "X") is one such social media platform that has proven to be a valuable source of rich information for both the general public and health officials. We conducted the first study applying Twitter data mining to autism screening.

OBJECTIVE

This study used Twitter as the primary source of data to study the behavioral characteristics and real-time emotional projections of individuals identifying with autism spectrum disorder (ASD). We aimed to improve the rigor of ASD analytics research by using the digital footprint of an individual to study the linguistic patterns of individuals with ASD.

METHODS

We developed a machine learning model to distinguish individuals with autism from their neurotypical peers based on the textual patterns from their public communications on Twitter. We collected 6,515,470 tweets from users' self-identification with autism using "#ActuallyAutistic" and a separate control group to identify linguistic markers associated with ASD traits. To construct the data set, we targeted English-language tweets using the search query "#ActuallyAutistic" posted from January 1, 2014, to December 31, 2022. From these tweets, we identified unique users who used keywords such as "autism" OR "autistic" OR "neurodiverse" in their profile description and collected all the tweets from their timeline. To build the control group data set, we formulated a search query excluding the hashtag, "-#ActuallyAutistic," and collected 1000 tweets per day during the same time period. We trained a word2vec model and an attention-based, bidirectional long short-term memory model to validate the performance of per-tweet and per-profile classification models. We also illustrate the utility of the data set through common natural language processing tasks such as sentiment analysis and topic modeling.

RESULTS

Our tweet classifier reached a 73% accuracy, a 0.728 area under the receiver operating characteristic curve score, and an 0.71 F1-score using word2vec representations fed into a logistic regression model, while the user profile classifier achieved an 0.78 area under the receiver operating characteristic curve score and an F1-score of 0.805 using an attention-based, bidirectional long short-term memory model. This is a promising start, demonstrating the potential for effective digital phenotyping studies and large-scale intervention using text data mined from social media.

CONCLUSIONS

Textual differences in social media communications can help researchers and clinicians conduct symptomatology studies in natural settings.

Putting Cats on the Spectrum: A Scoping Review of the Role of Cats in Therapy and Companionship for Autistic Adults and Children

This scoping review brings together existing studies on the use of cats in animal-assisted interventions, as assistance animals and as companion animals for autistic people. A systematic search across PubMed, CINAHL and Scopus in September 2022 identified 13 articles from 12 studies meeting the selection criteria with analysis revealing two key findings, cat-assisted therapeutic interventions, and cats as companion animals. There were five themes that emerged: the characteristics and behaviours of cats that make them suitable for inclusion in homes with autistic people; the bond between the cat and the autistic person; the use of cats as human-substitutes; the multiple ways in which cats improved the lives and social functioning of autistic people; and, some noted drawbacks or considerations of cat ownership. The review generates a comprehensive knowledge base upon which to promote feline therapy in autism and to advocate for further targeted research.

Depression, anxiety, and happiness in dog owners and potential dog owners during the COVID-19 pandemic in the United States

Major life events, such as the COVID-19 pandemic, affect psychological and physiological health. Social support, or the lack thereof, can modulate these effects. The context of the COVID-19 pandemic offered a unique opportunity to better understand how dogs may provide social support for their owners and buffer heightened symptoms of stress, anxiety and depression and contribute to happiness during a major global crisis. Participants (768 pet dog owners and 767 potential pet dog owners) answered an online survey, including validated depression, anxiety, happiness psychometric scales, attitude to and commitment towards pet, and perceived social support. Potential pet dog owners were defined as individuals who did not own a dog at the time of the survey but would be very or extremely interested in owning one in the future. Dog owners reported having significantly more social support available to them compared to potential dog owners, and their depression scores were also lower, compared to potential dog owners. There were no differences in anxiety and happiness scores between the two groups. Dog owners had a significantly more positive attitude towards and commitment to pets. Taken together, our results suggest that dog ownership may have provided people with a stronger sense of social support, which in turn may have helped buffer some of the negative psychological impacts caused by the COVID-19 pandemic.

Exploratory Study of Fecal Cortisol, Weight, and Behavior as Measures of Stress and Welfare in Shelter Cats During Assimilation Into Families of Children With Autism Spectrum Disorder

Background: Cats are a common companion animal (CA) in US households, and many live in families of children with autism spectrum disorder (ASD). The prevalence of ASD is one in 54, and many children have behavior challenges as well as their diagnostic communication disorders. Objective: Benefits of CAs for children with ASD have been identified, but little is known about the welfare of CAs in these homes. This study explored the welfare of cats (N = 10) screened for ideal social and calm temperament using the Feline Temperament Profile (FTP) and adopted by families of children with ASD. Methods: Cat stress was measured using fecal cortisol, weight, and a behavior stress measure (cat stress score). Measures were taken at baseline in the shelter, 2-3 days after adoption, and at weeks 6, 12, and 18. Result: Outcome measures suggested the adopted cats' stress levels did not increase postadoption; however, the small sample size limited analytical power and generalizability. Conclusion: This study provides preliminary evidence for the success of cat adoption by families of children with ASD, when cats have been temperament screened and cat behavior educational information is provided. Further research is warranted to confirm these findings.

Providing Humans With Practical, Best Practice Handling Guidelines During Human-Cat Interactions Increases Cats' Affiliative Behaviour and Reduces Aggression and Signs of Conflict

The importance of animals' experiences and associated comfort during Human-Animal Interactions (HAI), and particularly Animal Assisted Interventions (AAI), are increasingly recognised. However, there remains a paucity of published research, particularly concerning less formal but frequent HAIs to which companion animals are typically exposed, such as stroking or petting. Additionally, few practical evidence-based guides to facilitate humans' optimal animal handling and interaction in these contexts exist. A simple set of Human-Cat Interaction (HCI) guidelines were therefore created, with the aim to enhance domestic cats' comfort during generic HCI contexts. Based around a “CAT” acronym, guidelines focused on providing the cat with choice and control (“C”), paying attention (“A”) to the cats' behaviour and body language and limiting touch (“T”), primarily to their temporal regions. Guidelines were presented to human participants during a brief training intervention, and guideline efficacy was subsequently assessed. Domestic cats available for rehoming at Battersea Dogs and Cats Home, UK (n = 100) were filmed during interactions with novel members of the public (n = 120). Cats were exposed to a maximum of six, 5-min interaction sessions, balanced across “control” (interactions with humans pre-training) and “intervention” conditions (interactions with humans post-training). For each observation, cat behaviour and posture were coded and humans' cat-directed behaviour rated on the degree to which it reflected best practice principles. Data were extracted from a total of 535 observations and average human interaction ratings and cat behaviour values compared between control and intervention conditions via paired Wilcoxon tests. Compared to the control, humans' interaction styles were rated as significantly more closely aligned with best practice principles in the intervention condition. Cats also displayed significantly greater frequencies and/or durations of affiliative and positively-valenced behaviours in the intervention. In contrast, cats in the control displayed significantly greater frequencies of human-directed aggression, in addition to greater frequencies and/or durations of behaviours associated with conflict and negative valence. Results demonstrate the positive impact of practical interaction guidelines on cats' social behaviour and comfort during HCI, with the potential to improve cats' general experiences during interactions, reduce human-directed aggression and ultimately improve cat-human relationships.