Dietary behaviors, energy intake, and assessment of school lunch consumption in Thai children with autism

Autism spectrum disorder (ASD) is associated with distinctive eating behaviors that can affect nutritional status and development. In Thailand, where ASD prevalence is rising, limited research exists on related nutritional challenges. This cross-sectional study assessed the nutritional status, dietary intake behaviors, and school lunch consumption among 47 children with ASD (ages 6 to 13) attending a special education school in Bangkok. Anthropometric assessments were performed using Z scores, dietary intake was evaluated through three-day food records and caregiver questionnaires, and school lunch consumption was measured using the direct weighing method. The results showed a high prevalence of overweight (15.56%) and obesity (40.00%), despite overall inadequate energy and nutrient intake. Most children consumed home-cooked meals independently but exhibited selective eating behaviors. A majority consumed insufficient vegetables (75%) and fruits (61.36%), with frequent preferences for energy-dense, nutrient-poor foods, and low intake of iron-rich and dairy products. At school, children consumed only 28% of the energy served at lunch, with similarly low intake of calcium, vitamin A, and fiber. These findings underscore the need for tailored, multidisciplinary interventions targeting both mealtime behaviors and nutritional adequacy. Collaboration among caregivers, educators, and health professionals is essential to improve dietary variety and support the health and development of children with ASD.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-03-29
DOI
https://doi.org/10.1038/s41598-026-46215-4
Primary Topic
Child Nutrition and Feeding Issues
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dietary behaviors, energy intake, and assessment of school lunch consumption in Thai children with autism

Charoonsri Chusak, Phim-on Suklaew, Putthathip Pongpankhae, Sirichai Adisakwattana et al.
Scientific Reports
Child Nutrition and Feeding Issues
article

Dietary behaviors, energy intake, and assessment of school lunch consumption in Thai children with autism

Charoonsri Chusak, Phim-on Suklaew, Putthathip Pongpankhae, Sirichai Adisakwattana, Chayada Sukcharoen
article en

Abstract

Autism spectrum disorder (ASD) is associated with distinctive eating behaviors that can affect nutritional status and development. In Thailand, where ASD prevalence is rising, limited research exists on related nutritional challenges. This cross-sectional study assessed the nutritional status, dietary intake behaviors, and school lunch consumption among 47 children with ASD (ages 6 to 13) attending a special education school in Bangkok. Anthropometric assessments were performed using Z scores, dietary intake was evaluated through three-day food records and caregiver questionnaires, and school lunch consumption was measured using the direct weighing method. The results showed a high prevalence of overweight (15.56%) and obesity (40.00%), despite overall inadequate energy and nutrient intake. Most children consumed home-cooked meals independently but exhibited selective eating behaviors. A majority consumed insufficient vegetables (75%) and fruits (61.36%), with frequent preferences for energy-dense, nutrient-poor foods, and low intake of iron-rich and dairy products. At school, children consumed only 28% of the energy served at lunch, with similarly low intake of calcium, vitamin A, and fiber. These findings underscore the need for tailored, multidisciplinary interventions targeting both mealtime behaviors and nutritional adequacy. Collaboration among caregivers, educators, and health professionals is essential to improve dietary variety and support the health and development of children with ASD.

Scientific Reports
Chulalongkorn University (TH), Kasetsart University (TH)
Zero hunger
Openalex Percentile: Top 4%
Child Nutrition and Feeding Issues
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.