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Objective: Investigate factors influencing autism spectrum disorder (ASD) diagnosis in children under and over 36 months, and determine the average age for ASD diagnosis at Charoenkrung Pracharak Hospital, Bangkok, Thailand, after implementing ASD screening. Materials and Methods: A retrospective cross-sectional study of 252 children with ASD aged 1-15 years from 2014 to 2023, classified into ≤36 months (n=104) and >36 months (n=148) at diagnosis. Demographic, clinical data and child/family factors were analyzed using multivariate regression analysis. Results: Mean age at ASD diagnosis was 44.77 ± 19.91 months. Attending well-baby clinics (aOR 2.64, p=0.038), higher family income ≥ 814 US dollars per month (aOR 2.33, p=0.020), and higher parental education (aOR 3.43, p=0.011) were significantly associated with diagnosis before 36 months. Hyperactivity as the main complaint (aOR 0.07, p=0.001) and global developmental delay/intellectual disability (aOR 0.45, p=0.023) predicted later diagnosis. Child's gender, being an only child, sibling order, and parental age had no significant impact. Conclusion: Over half of all ASD diagnoses occurred after age 3, with an average age around 44 months. Regular attendance in well-child clinics allowing ASD screening, and higher socioeconomic status and parental education facilitated earlier diagnosis. In contrast, concerns about hyperactivity and global developmental delay often lead to delayed ASD assessment. Enhancing awareness of ASD among families with limited resources can promote timely diagnosis and access to intervention. [ABSTRACT FROM AUTHOR]

Objective: This study examined perceptions and attitudes toward electronic cigarettes (e-cigarettes) among young adults aged 15-20 years in Samut Songkhram Province, Thailand, and their relationship. Materials and Methods: A descriptive cross-sectional study was conducted between July and October 2023. The study included 328 young adults aged 15-20 selected from an educational institution in Samut Songkhram Province using simple random sampling. Data were collected using a self-administered questionnaire and analyzed using descriptive statistics and Pearson's correlation coefficient. Results: The participants had a good level of knowledge about e-cigarettes. They exhibited a positive attitude towards electronic cigarettes regarding health aspects (M=3.05, SD=0.97) and a positive attitude towards the legal dimensions of e-cigarettes (M=3.12, SD=0.80). However, no statistically significant correlation was found between the perception of e-cigarettes and health-related attitudes toward them (r=0.013, p=0.820). On the other hand, there was a statistically significant positive correlation between the perception of e-cigarettes and legally oriented attitudes (r=0.192, p<0.001). Furthermore, a borderline positive correlation emerged between the perception of electronic cigarettes and the general attitudes toward them (r=0.102, p=0.065). Conclusion: Young adults in rural Thailand have a good knowledge of e-cigarettes. However, they exhibit positive attitudes towards the health aspects and legal dimensions of e-cigarettes. Moreover, no significant relationship exists between perceptions and health-related attitudes. These insights emphasize the need for targeted strategies to address misperceptions and raise awareness about the health risks of e-cigarette use among rural youth. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to investigate the relationship between sleep habits and behavioral problems in preschool-aged children with ADHD. Materials and Methods: A cross-sectional study was conducted in a child developmental clinic at Siriraj Hospital between October and December 2023. Parents of children aged 4-6 years with ADHD completed the Children's Sleep Habits Questionnaire (CSHQ) and the Strengths and Difficulties Questionnaire (SDQ). Descriptive analysis, Pearson correlation, and multivariate linear regression analysis were used to examine the association between sleep habits and behavioral problems. Results: This study recruited 80 preschoolers with ADHD and 75% were boys. The mean total CSHQ score was 43.76 ± 7.38 and 40% of the participants had sleep problems. 31.3 % had clinically significant behavioral problems. The most common behavioral problems were hyperactivity (33.8%), emotional problems (16.3%), and conduct behavior (10%). More sleep disturbances were highly correlated with all behavioral problems in SDQ, with a Pearson correlation between 0.78 and 0.90. After multivariate regression analysis, the total CSHQ score remained the strongest predictor of all domains of behavioral problems in preschool-aged children with ADHD (p < 0.05). Conclusion: More than 1/3 of preschool children with ADHD were affected by sleep disturbances. Furthermore, sleep problems in these children can contribute to significant behavioral problems. Therefore, the treatment of ADHD in preschoolers should always include the management of sleep disturbances. [ABSTRACT FROM AUTHOR]