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The adverse impact of sleep problems on children and adolescents’ health and development raises concern in the community. Although some studies have examined the association of sleep problems with behavioural problems and academic performance, few have been done in Macau, especially for the children population and regarding academic performance. Hence, the primary purpose of the present study was to identify sleep problems of children and adolescents in Macau and explore its relationship with behavioural problems and academic performance. 948 participants (466 children and 482 adolescents) from Macau were included in the study. Data was collected using the Achenbach System of Empirically Based Assessment (ASEBA) forms: CBCL, TRF and YSR. Children sleep problems were assessed by the reports of mother and father, in addition self-report was also included to measure adolescents sleep problems. Behavioural problems were reported by mother, father and teacher for children, as well as self-report for adolescents. Academic performance was the average of teacher’s rating of all academic subjects. The prevalence of sleep problems was 10.1% in children and 17.4% in adolescents. The results showed significant difference between children’s sleep problems and their mother and father-reported total behavioural problems, but not with teacher-reported total behavioural problems. However, whereas the t-test found that adolescent’s sleep problems significantly predicted all informants reported total behavioural problems, the chi-square test found no significant relationship between the two factors in teacher’s ratings, suggesting that while adolescents who had more sleep problems did show a higher frequency of total behavioural problems in the teacher’s perspective, but they may not be severe enough to be considered clinical. In addition, significant association between academic performance and sleep problems were only observed in children but not in adolescents; and no significant relationship was found between sleep problems and grade retention. Findings provided further support for some associations of sleep problems with behavioural problems and academic performance. In general, the findings of Macau were similar to those in other countries. Given that chronic sleep problems create multiple negative consequences to students’ lives, practical implications are provided to help lower it through the collaboration between parties, education about sleep hygiene and the development of healthy sleeping habits. Keywords: sleep problems; behavioural problems; academic performance; children; adolescents
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This thesis explores the impact of the exploration of methadone treatment programs in heroin-dependent the perspective from use and the quality of life. The primary objective of this research is to investigate how different types of participants that methadone will affect their quality of life. A mixed-methods approach was employed, combining quantitative surveys with qualitative interviews to gather comprehensive data from a sample of 59 participants, 8 female, and 51 male, for the questionnaire to know about their quality of life and well-being. A structured questionnaire was used to quantitatively assess participants' quality of life, well-being, and satisfaction with methadone treatment. The survey included standardized scales measuring various dimensions of quality of life, such as physical health, mental health, social functioning, and overall life satisfaction. A mixed-methods approach was adopted, combining quantitative and qualitative research methods to provide a comprehensive understanding of treatment efficacy and genetic influences. In the course of this research on the impact of methadone treatment programs on the quality of life for heroin-dependent individuals, several key findings emerged from both the quantitative surveys and qualitative interviews. To overall improvement in quality of life the participants reported significant improvements in various dimensions of quality of life after starting methadone treatment. On average, scores for emotional well-being, social functioning, and physical health showed marked increases over the treatment period
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The rapid development of counselling began after World War II. Meanwhile, texting services became available in the 1980s. Texting has been widely applied in both health area and mental health areas. A chatbot is a specific type of artificial intelligence (AI) that can have conversations with humans through texting. The combination of counselling and texting is known as chat counselling. The effectiveness of chatbots in alleviating psychological symptoms was supported by scientific research. Nonetheless, people hold different perceptions towards chatbots. Some common factors in counselling, including empathy and warmth, were also important in evaluating AI chatbots. Other important factors included acceptability, satisfaction and trust. The current study is the first to use AI as a counsellor. This study investigates people’s perceptions of human and AI counsellors (ChatGPT) and whether people can differentiate between human and AI. Participants needed to rate the counsellors in three scenarios: the original scenario taken from a training book, the human counsellor scenario generated from a text conversation with a human counsellor and the AI counsellor scenario produced by texting with ChatGPT, which acts as the counsellor. Prompts used to generate conversation with ChatGPT are included. The dialogues were parts of the conversations containing similar client responses and were presented using the WhatsApp interface. Questionnaires were delivered both online and in paper form. Results demonstrated that people’s ratings of human counsellors and AI counsellors did not differ in perceived empathy, acceptability, and satisfaction. While the warmth and trustworthiness of AI counsellors were perceived to be higher than those of human counsellors. On the other hand, people were unable to differentiate between human and AI counsellors in uncertain conditions. Younger people and the general population are more accurate in identifying between humans and AI, while people above 40 and psychologists or counsellors are less capable of doing so. The current study supports the potential of utilising ChatGPT in counselling. Having people experience and evaluate real chat counselling with human and AI counsellors can potentially eliminate some limitations of the current studies. Future studies can investigate how prior knowledge contributes to AI detection and examine AI counsellors' efficiency in longitudinal studies
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USJ Theses and Dissertations
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- Thesis (30)
Publication year
- Between 2000 and 2025 (30)