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Atypical eating behaviors and feeding issues are common in children with autism spectrum disorder (ASD). This study aims to evaluate the nutritional status and eating behavior of the ASD and typically developing groups. A case-control study was conducted from January to April 2019 in Nghe An, Vietnam. A total of 93 children in each group participated in the study with their main caregivers. We applied the Children's Eating Behavior Inventory (CEBI) to evaluate the eating behaviors of children. Overweight and obesity in ASD children accounted for 41.9%. The CEBI score and %CEBI of the ASD group was higher than that of the control group (104.0 ± 14.2 and 91.3 ± 8.3; 24.1 ± 21.4 and 5.0 ± 11.8, respectively). Most of the adverse mealtime behaviors of ASD children focused on excessive duration (52.7%), distraction (40.9%), and food refusal (39.8%). In total 88.2% of caregivers had to comfort their ASD children at every meal, followed by threatening, scolding, or punishing children if they refused to eat (57.0%). Being overweight/obese and having eating behavior difficulties were prevalent among ASD children in Vietnam. Safer alternatives, such as lifestyle measures and seeking help from a nutritional therapist, can help ASD children reduce weight and modify their erroneous feeding habits.
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http://dx.doi.org/10.1177/02601060231152278 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Psychiatry, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea.
Background: Autism spectrum disorder (ASD) and social communication disorder (SCD) are neurodevelopmental disorders characterized by deficits in social communication that hinder social adaptation, with limited pharmacological options for therapy owing to the absence of identified biomarkers. Individuals with ASD or SCD require lifelong interventions tailored to their development stages. However, most existing interventions primarily focus on early childhood, leaving adolescents relatively underserved.
View Article and Find Full Text PDFNeuroimage Clin
September 2025
Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden; Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Objectives: To examine associations between low cognitive-performance and regional-and network-level brain changes at ages 9-10 in very-preterm, moderately-preterm, and full-term children, and explore whether these alterations predict ASD/ADHD symptoms at age 12.
Methods: This longitudinal population-based study included 9-10-year-old U.S.
Brain Dev
September 2025
Institute of Medical Science, Gyeongsang National University College of Medicine, Jinju, Republic of Korea; Department of Neurology, Gyeongsang National University Hospital, Jinju, Republic of Korea.
Objective: To compare parenting stress between parents of children with autism spectrum disorder (ASD) and other developmental disabilities (DDs) and to examine ASD's influence on parenting stress through mediation analysis.
Methods: We retrospectively analyzed 48 children with ASD (ASD group) and 77 with non-ASD DDs (non-ASD group), along with one of their parents, at the Gyeongsang National University Hospital between May 2021 and August 2024. All underwent developmental assessments and completed the Korean version of the Parenting Stress Index-4 and the Child Interactive Behavior Test (CIBT).
Turk J Pediatr
September 2025
Division of Developmental Pediatrics, Department of Pediatrics, Faculty of Medicine, Hacettepe University, Ankara, Türkiye.
Background: Autism spectrum disorder (ASD) is more frequently diagnosed in boys than in girls, possibly due to gender-based differences in symptom presentation or referral patterns. This study investigates gender-related variations in symptom severity and clinical presentation among preschool children referred for suspected ASD.
Methods: This study included 125 children (boys: n=103; girls: n=22) aged 2-5 years suspected of having ASD.
Epigenomics
September 2025
College of Physical Education, Yangzhou University, Yangzhou, China.
Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder lacking objective biomarkers for early diagnosis. DNA methylation is a promising epigenetic marker, and machine learning offers a data-driven classification approach. However, few studies have examined whole-blood, genome-wide DNA methylation profiles for ASD diagnosis in school-aged children.
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