EVALUATION OF THE DIETARY PATTERNS AND EATING BEHAVIOR OF CHILDREN WITH AUTISM SPECTRUM DISORDER BY USING BRIEF AUTISM MEALTIME BEHAVIOR INVENTORY

Background: Autism spectrum disorder is a neuropsychiatric disorder.The objective wasthis study aimed to assess dietary patterns, eating behaviors of the children with autism spectrum disorder and to find out the association of different foods with BMI.Material and Methods: It was a cross-sectional study. 65 participants between the ages of 5 to 20 years were selected by using non probability convenience sampling technique. Data on food preferences, portion sizes, and food types were collected using the Food Frequency Questionnaires (FFQ) and Brief Autism Mealtime Behavior Inventory (BAMBI). Data was gathered from caregivers using a structured questionnaire, and quantitative analysis was performed using SPSS version 30). Result: Among children with autism 19 (35.2%) obese. The eating behavior of participant revealed that children exhibit resistive behavior at almost every meal which accounts for 12 (22.2) %. Significant proportion of children with ASD 13 (24.1%) had preference for the same food. The pvalue demonstrate that there was no association between BMI and intake of different food from various food groups. Conclusion: The study revealed that most children with ASD were found to have abnormal BMI for their age. The results also showed that the consumption of beverage, fruits and meat groups were good but they lacked in consumption of other food groups like vegetables, grains and dairy groups which can impact their overall health.

Authors

Publication Details

Journal
Journal of Akhtar Saeed Medical & Dental College
Published
2025-06-30
DOI
https://doi.org/10.51127/jamdcv0702oa05
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

EVALUATION OF THE DIETARY PATTERNS AND EATING BEHAVIOR OF CHILDREN WITH AUTISM SPECTRUM DISORDER BY USING BRIEF AUTISM MEALTIME BEHAVIOR INVENTORY

Saba Nadeem Dar, Sonya Rafiq, Aqsa Nadeem, Husnain Tahir
1 links
Journal of Akhtar Saeed Medical & Dental College
Child Nutrition and Feeding Issues
article

EVALUATION OF THE DIETARY PATTERNS AND EATING BEHAVIOR OF CHILDREN WITH AUTISM SPECTRUM DISORDER BY USING BRIEF AUTISM MEALTIME BEHAVIOR INVENTORY

Saba Nadeem Dar, Sonya Rafiq, Aqsa Nadeem, Husnain Tahir
article en

Abstract

Background: Autism spectrum disorder is a neuropsychiatric disorder.The objective wasthis study aimed to assess dietary patterns, eating behaviors of the children with autism spectrum disorder and to find out the association of different foods with BMI.Material and Methods: It was a cross-sectional study. 65 participants between the ages of 5 to 20 years were selected by using non probability convenience sampling technique. Data on food preferences, portion sizes, and food types were collected using the Food Frequency Questionnaires (FFQ) and Brief Autism Mealtime Behavior Inventory (BAMBI). Data was gathered from caregivers using a structured questionnaire, and quantitative analysis was performed using SPSS version 30). Result: Among children with autism 19 (35.2%) obese. The eating behavior of participant revealed that children exhibit resistive behavior at almost every meal which accounts for 12 (22.2) %. Significant proportion of children with ASD 13 (24.1%) had preference for the same food. The pvalue demonstrate that there was no association between BMI and intake of different food from various food groups. Conclusion: The study revealed that most children with ASD were found to have abnormal BMI for their age. The results also showed that the consumption of beverage, fruits and meat groups were good but they lacked in consumption of other food groups like vegetables, grains and dairy groups which can impact their overall health.

Journal of Akhtar Saeed Medical & Dental CollegeVol. 07(02)
Openalex Percentile: Top 76%
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.