Abstract
Background:
Children with autism often exhibit atypical eating behaviors, which may significantly impact their nutritional status and overall well-being. However, research on the dietary habits of Chinese children with autism remains limited.
Objective:
This study primarily assesses the applicability of Brief Autism Mealtime Behavior Inventory (BAMBI) for Chinese children with autism, while further exploring the unique dietary behavior characteristics within this population.
Methods:
In total, 103 children with autism aged 3–6 years and 331 typically developing preschoolers were recruited. All participants’ parents completed the Brief Autism Mealtime Behavior Inventory (BAMBI) and the Six-item Gastrointestinal Severity Index (6-GSI). The reliability and validity of the Chinese version of the BAMBI were analyzed, and differences in dietary behavior were tested between cases and controls.
Results:
The item reliability (Cronbach's alpha) was 0.849 for total BAMBI. Pearson correlation analyses of the full BAMBI scale scores and subscales revealed significant correlations (r values ranging from 0.580 to 0.912, P < 0.01). The confirmatory factor analysis result shows that BAMBI 18 items have an acceptable fit to the data (GFI = 0.901, CFI = 0.819, ILI = 0.821, RMSEA = 0.074). Although the value of average variance extra (AVE) of the main scale is slightly below 0.5, the composite reliability (CR) is both above 0.7. The ASD group scored significantly higher than the typically developing group in terms of the BAMBI total score and subscales. The top problematic dietary behaviors reported by parents were inflexible about mealtime routines (79.61%), unwilling to try new foods (75.73%) and not accepts or prefers a variety of foods (71.84%). The positive association between BAMBI total scores and 6-GSI scores was observed.
Conclusion:
BAMBI is a validated tool for assessing dietary behaviors in autistic children in China. Compared with their typically developing peers, ASD children presented more dietary behavior problems. This study emphasizes early attention to dietary behavior problems in children with autism.
1 Introduction
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impaired social interactions, communication and repetitive behaviors (1). The prevalence of ASD has been increasing globally with about 787% increase over 20 years (2–4) and now the reported global prevalence is 100/10,000 (2). This trend is no different in mainland China. The latest estimated prevalence of ASD in China is 0.70% (5), making it a significant public health concern. The increase in prevalence has led to greater awareness, and many studies have focused on exploring the various aspects of autism, including dietary behaviors (6–9).
Dietary behaviors in children with autism have gained much more attention for several reasons. First, more than half of children with ASD exhibit selective eating patterns (10, 11), food aversions (12), and sensory sensitivities (13) that can lead to nutritional imbalances (14). These behaviors can have a profound impact on their overall health, growth, and development. Second, a growing body of evidence suggests that dietary interventions may play a role in managing some of the symptoms associated with autism, such as gastrointestinal issues (15) and behavioral challenges (16). However, most of the existing studies have been conducted in Western countries, and data on the specific dietary behaviors of Chinese children with ASD are lacking.
Researchers have developed questionnaires to evaluate dietary routines, attitudes, and food practices, as quick and clinically useful assessments. Currently available parent-report questionnaires for assessing dietary behaviors in children with ASD include the Behavioral Pediatrics Feeding Assessment Scale (17) (originally designed for children with cystic fibrosis), the Children's Eating Behavior Inventory (18) (created for various medical populations), and Meals in Our Household (19) (originally designed for children with developmental delays). However, none of these questionnaires are specific to ASD children. The Brief Autism Mealtime Behavior Inventory (BAMBI) was developed as the first standardized informant report measure to specifically assess dietary behaviors in children with ASD (20) with adequate psychometric properties (21) and statistics (22, 23) reported.
Therefore, in this study, we introduced the BAMBI to assess the dietary behaviors of children with autism to identify specific eating habits in the Chinese context, and the reliability and validity of the Chinese version of the BAMBI were analyzed before its use in these populations.
2 Methods
2.1 Ethical approval
The present investigation was approved by the Ethics Board of Guizhou Provincial People's Hospital (2024-138). Oral informed consent was obtained from all parents. Caregivers of all eligible subjects were then invited with consent to participate in this study.
2.2 Participants
2.2.1 Sample size estimation
According to rough estimate of sample size of Kendall (24), the sample size for the questionnaire should be 5 to 10 times the number of items on the scale. Since BAMBI has a total of 18 items, the estimated required sample size ranges from 90 to 180 samples. Considering a 10% rate of invalid questionnaires and the stability of statistical analysis, the final sample size should be greater than 100 participants.
2.2.2 Children with ASD
This study was conducted from June 2024 to August 2024. The ASD population was obtained from four sites, including the Rehabilitation Department of Pediatrics at the Children's Hospital of Fudan University, the Rehabilitation Department of Pediatrics at Guizhou Provincial People's Hospital, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University and Child Health Care of Chengdu Women and Children's Hospital. All the ASD patients: (1) meeting the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5); (2) the age was from 3 to 6 years old; (3) parents of children with autism agreed to participate in this study.
2.2.3 Control group
A convenience sample of children with typical development was recruited from the public kindergarten. The inclusion criteria of the typically developing group were age matched with the ASD group, but without any mental, neurological, or metabolic disease based on the child health record provided by the kindergarten.
2.3 Measures
2.3.1 The brief autism mealtime behavior inventory
The Brief Autism Mealtime Behavior Inventory (BAMBI) is a specialized tool developed to assess mealtime behaviors in children with ASD aged 3–11 years. It was first introduced in 2008 and has since been validated and adapted for use in various populations, including Turkish (25), Brazilian Portuguese (21), and other (26) populations.
The BAMBI questionnaire includes 18 items and is divided into 3 subscales (Limited Variety, Food Refusal and Features of Autism). The frequencies were scored on a 1–5 Likert scale, with a score of 1 indicating that the behavior “never” occurred and a score of 5 indicating that the behavior “always” occurred at mealtime, to quantify the autistic traits. Four of the items were reverse scored, as they were used to rate positive mealtime behaviors. The BAMBI total score was calculated from a sum of all 18 items, with higher scores reflecting more mealtime behavior problems. The subscale score was calculated by summing the scores of the included items.
Our team adopted standard translation and back-translation procedures to translate the Chinese version of the BAMBI. Before the study began, we recruited a few parents of ASD patients aged 3–6 years from the outpatient clinic of the Children's Hospital of Fudan University to complete the Chinese version of the BAMBI, as this would ensure that the questions and concepts were clear and could accurately capture the mealtime behaviors of children with ASD in the Chinese context. The fact that the participants found the context of the Chinese version of the BAMBI understandable suggests that the translation and cultural adaptation processes were successful; this made it possible to further study the Chinese version BAMBI.
2.3.2 The six-item gastrointestinal severity index
The Six-item Gastrointestinal Severity Index (6-GSI) was developed by Schneider in 2006 and is used to assess 6 GI symptoms, including constipation, stool odor, diarrhea, stool consistency, flatulence and abdominal pain (27). Each symptom was assigned a score of 0, 1, or 2 on the basis of its frequency per week. A score of 0 was interpreted as the absence of symptoms, whereas scores of 1 and 2 denoted the presence of symptoms of differing severity. The GI score was the sum of the six items, with higher scores indicating more serious GI symptoms.
2.3.3 Data collection
We used online surveys as methodology to collect demographic and questionnaire data via the WeChat network for both children with typical development and children with ASD. Demographic data including age, sex, ethnic group, height, and weight, residence, family income, parental education level, and parental occupation were collected by self-administered questionnaire.
2.4 Statistical analysis
Data analysis was performed via IBM SPSS version 27.0 (IBM SPSS, Inc., Chicago, IL, USA) and AMOS 22. Cronbach's alpha was employed to test the internal consistency of each subscale (28). For the BAMBI, each item with a score of ≥3 was considered to indicate problematic behavior. Descriptive statistics were performed in total and by group. Characteristics of study participants, including all scores were expressed as the mean (SD) for normally distributed variables, median (IQR) for skewed variables and frequency with percentage for categorical variables. Group comparisons were performed by 2-sample t-test, Kruskal–Wallis test and chi-square test, respectively.
Due to the low Cronbach's alpha coefficient of the Feature of Autism, which indicates that it is not sufficiently reliable, we did not conduct further component analysis on it.
Linear regression models were performed to evaluate the association between mealtime behavior and GI symptoms.
All tests were two-tailed, and a P value of less than 0.05 was considered statistically significant.
3 Results
3.1 Demographic characteristics of the current samples
In total, 108 (94.74%) BAMBI questionnaires from the four sites and 352 (87.56%) from the kindergarten were collected. 5 questionnaires from ASD cases and 21 from typically developing children were not included in the final analysis because of missing items or basic information (especially the date of birth). We obtained a final sample of 434 children aged 3‒6 years, including 103 children with ASD (mean age 5.18 ± 1.40 years, 87 males) and 331 age-matched controls (mean age 5.46 ± 0.76 years, 171 males). No statistically significant differences were observed in age, BMI, ethnic group, residence, family income, or mother's occupation between the two groups. Significant differences in gender, father's occupation and parental education were observed between the two groups (P < 0.01) (Table 1).
Table 1
| Characteristics | Category | TD (N = 331) | ASD (N = 103) | χ2/t | P valuea |
|---|---|---|---|---|---|
| N (%) | N (%) | ||||
| Age (year)b | Mean | 5.46 ± 0.76 | 5.18 ± 1.40 | 1.905 | 0.059 |
| BMIb | Mean | 17.44 ± 5.00 | 17.76 ± 4.50 | 0.569 | 0.569 |
| Gender | Male | 171 (51.7) | 87 (84.5) | 35.066 | <0.001 |
| Female | 160 (48.3) | 16 (15.5) | |||
| Ethnic groups | Ethnic Han | 237 (71.6) | 66 (64.1) | 2.110 | 0.146 |
| Ethnic minorities | 94 (28.4) | 37 (35.9) | |||
| Residence | Urban area | 117 (35.5) | 42 (40.8) | 0.997 | 0.318 |
| Rural area | 214 (64.7) | 61 (59.2) | |||
| Family Income (monthly) | Below 5,000 RMB | 153 (46.2) | 46 (44.7) | 0.13 | 0.937 |
| 5,000–10,000 RMB | 143 (43.2) | 45 (43.7) | |||
| Above 10,000 RMB | 35 (10.6) | 12 (11.7) | |||
| Father's occupation | Civil servant | 9 (2.7) | 8 (7.8) | 12.189 | 0.007 |
| Tech worker | 63 (19.0) | 28 (27.2) | |||
| Freelancer | 72 (21.8) | 26 (25.2) | |||
| other | 187 (56.5) | 41 (39.8) | |||
| Mother's occupation | Civil servant | 6 (1.8) | 6 (5.8) | 5.925 | 0.115 |
| Tech worker | 46 (13.9) | 17 (16.5) | |||
| Freelancer | 85 (25.7) | 28 (27.2) | |||
| other | 194 (58.6) | 52 (50.5) | |||
| Father's education | Undergraduate | 263 (79.5) | 69 (67.0) | 12.849 | 0.002 |
| Bachelors | 65 (19.6) | 28 (27.2) | |||
| Postgraduate | 3 (0.9) | 6 (5.8) | |||
| Mother's education | Undergraduate | 266 (80.4) | 72 (69.9) | 12.832 | 0.002 |
| Bachelors | 65 (19.6) | 28 (27.2) | |||
| Postgraduate | 0 (0) | 3 (2.9) |
Demographic characteristics of participants in the TD and ASD groups.
Performed by 2-sample t-test for normally distributed variables and chi-square test for categorical variables.
Values are mean (±SD).
TD, typically developing; ASD, autism spectrum disorder.
3.2 Reliability and validity of the Chinese version of the BAMBI
The scale's reliability is assessed through internal consistency by using Cronbach's alpha. Cronbach's alpha of the total BAMBI was 0.849, indicating good internal consistency for the full scale (Table 2). Pearson correlation analyses of the total BAMBI scale and subscales revealed significant correlations with r values ranging from 0.580 to 0.912 (P < 0.01, Figure 1).
Table 2
| BAMBI | Cronbach's α (N = 434) | GFI | CFI | IFI | RMSEA | CR | AVE |
|---|---|---|---|---|---|---|---|
| Total BAMBI | 0.849 | 0.829 | 0.819 | 0.821 | 0.074 | – | – |
| Limited Variety | 0.744 | – | – | – | – | 0.747 | 0.379 |
| Food Refusal | 0.734 | – | – | – | – | 0.736 | 0.361 |
| Feature of Autism | 0.455 | – | – | – | – | – | – |
Cronbach's α and confirmatory factor analysis in Chinese version BAMBI.
BAMBI, brief autism mealtime behavior inventory; GFI, goodness of fit index; CFI, comparative fit index; IFI, incremental fit index; RMSEA, root mean square error of approximation; CR, composite reliability; AVE, average variance extracted.
Figure 1
The confirmatory factor analysis demonstrated that the values for fit indices fell within the acceptable to good ranges (GFI = 0.901, CFI = 0.819, IFI = 0.821, RMSEA = 0.074). The composite reliability (CR) values and average variance extracted (AVE) for the two dimensions of LV and FR are 0.747, 0.736 and 0.379, 0.361, respectively (Table 2).
Scores between typically developing children and ASD cases were compared to test the discriminant ability of BAMBI. The ASD group scored significantly higher than the typically developing group in total BAMBI and subscales (Table 3).
Table 3
| BAMBI | TD (N = 331) | ASD (N = 103) | H | P valueb |
|---|---|---|---|---|
| Total BAMBI | 32 (27, 40) | 41 (35, 47) | 57.88 | <0.001 |
| Limited Variety | 17 (14, 21) | 22 (18, 25) | 36.74 | 0.001 |
| Food Refusal | 7 (6, 9) | 8 (7, 12) | 16.94 | <0.001 |
| Feature of Autism | 8 (6, 9) | 11 (9, 13) | 103.33 | <0.001 |
Scores between TD group and ASD groupa.
Values are median (IQR).
Equality between groups by Kruskal–Wallis equality-of-populations rank test.
BAMBI, brief autism mealtime behavior inventory; TD, typically developing; ASD, autism spectrum disorder.
3.3 Comparison of problematic mealtime behaviors between groups
Referring to 34 as the BAMBI cutoff point (29), 76.7% of problematic feeders were identified in ASD group. Compared with typically developing children, children with autism were significantly more likely to exhibit 10 problematic behaviors (Table 4).
Table 4
| Mealtime behaviors | TD (%) | ASD (%) | χ2 | P valuea |
|---|---|---|---|---|
| Q1: Cries or screams during mealtimes | 35 (10.57) | 25 (24.27) | 12.37 | <0.001 |
| Q2: Turns his/her face or body away from food | 54 (16.31) | 35 (33.98) | 15.04 | <0.001 |
| Q3: Not remain seated at the table until the meal is finished | 87 (26.28) | 51 (49.51) | 19.55 | <0.001 |
| Q4: Expels (spits out) food that he/she has eaten | 43 (12.99) | 22 (21.36) | 4.32 | 0.038 |
| Q5: Is aggressive during mealtimes (hitting, kicking, scratching others) | 14 (4.23) | 4 (3.88) | 0.02 | 0.878 |
| Q6: Displays self-injurious behavior during mealtimes (hitting self, biting self) | 0 | 1 (0.97) | - | 0.013 |
| Q7: Is disruptive during mealtimes (pushing/throwing utensils, food) | 51 (15.41) | 21 (20.39) | 1.41 | 0.235 |
| Q8: Closes his/her mouth tightly when food is presented | 33 (9.97) | 17 (16.50) | 3.29 | 0.070 |
| Q9: Inflexible about mealtime routines (e.g., times for meals, seating arrangements, place settings) | 101 (30.51) | 82 (79.61) | 77.65 | <0.001 |
| Q10: Not willing to try new foods | 93 (28.10) | 78 (75.73) | 74.64 | <0.001 |
| Q11: Dislikes certain foods and won’t eat them | 103 (31.12) | 37 (35.92) | 0.83 | 0.362 |
| Q12: Refuses to eat foods that require a lot of chewing (e.g., eats only soft or pureed foods) | 48 (14.50) | 33 (32.04) | 15.92 | <0.001 |
| Q13: Prefers the same foods at each meal | 98 (29.61) | 43 (41.75) | 5.28 | 0.022 |
| Q14: Prefers “crunchy” foods (e.g., snacks, crackers) | 99 (29.91) | 50 (48.54) | 12.10 | 0.001 |
| Q15: Not accepts or prefers a variety of foods | 81 (24.47) | 74 (71.84) | 76.79 | <0.001 |
| Q16: Prefers to have food served in a particular way | 92 (27.79) | 33 (32.04) | 0.69 | 0.406 |
| Q17: Prefers only sweet foods (e.g., candy, sugary cereals) | 185 (55.89) | 63 (61.17) | 0.89 | 0.345 |
| Q18: Prefers food prepared in a particular way (e.g., eats mostly fried foods, cold cereals, raw vegetables) | 118 (35.65) | 44 (42.72) | 1.68 | 0.195 |
Problematic mealtime behaviors between TD group and ASD group.
Performed by chi-square test or Fisher's Exact Test.
TD, typically developing; ASD, autism spectrum disorder.
The top 3 problematic mealtime behaviors were as follows: inflexible about mealtime routines (79.61%), unwilling to try new foods (75.73%) and not accepts or prefers a variety of foods (71.84%).
3.4 Association between mealtime behaviors and GI symptoms
The multivariable regression model revealed positive association between BAMBI total score and 6-GSI scores (β = 3.95, z = 12.38, 95% CI: 3.32–4.58, P < 0.001) after adjusting age, gender, parental education levels (postgraduate, bachelor, undergraduate), and parental occupations (civil servant, tech worker, freelancer, others).
4 Discussion
In this study, a general reliability and validity test on BAMBI was performed to ensure its applicability in a Chinese context. The results of the reliability and validity tests suggest that it can be used as a dietary behavior screening tool for children with autism in China. Through BAMBI, we identified 76.7% of ASD presenting dietary behavior issues in China, which is consistent with previous research (29). These behaviors correspond to varying degrees of gastrointestinal symptoms. Therefore, early use of targeted assessment tools to evaluate dietary behaviors in children with autism is an important aspect of a comprehensive assessment of autism.
Our study revealed Cronbach's coefficient of 0.849 for total BAMBI, indicating good internal consistency of the BAMBI. The 2 primary outcome subscales also indicated good reliability: 0.744 for Limited Variety and 0.734 for Food Refusal. Because of the lower coefficient alpha of 0.455 for Feature of Autism (26), it has been excluded from further analyses. Although the confirmatory factor analysis results were not reported in other articles on BAMBI (26), we conducted a structural validity analysis for the Chinese version BAMBI. The correlation analysis demonstrated better r values (r: 580–0.912) than did the original data (r: 0.45–0.54) (20). While the value of average variance extracted (AVE) and composite reliability (CR) for the 2 main scales were found to be more than 0.36 and 0.70 respectively, indicating the presence of convergent and discriminant validity for BAMBI. However, further research through larger sample for BAMBI is still needed to verify its usage in Chinese culture.
Consistent with previous research, our data also showed severe food selectivity behaviors in children with autism in China. Our findings revealed that 2 out of the top 3 items belong to the Limited Variety, indicating a strong preference for certain foods among affected children. Although some reports suggest that food selectivity in children with ASD is associated with sensory sensitivity (30, 31), more research indicates a stronger correlation with stereotyped behaviors in these children. The effectiveness of behavioral intervention, such as the food chaining method (32), in treating food selectivity in children has been confirmed (33, 34), highlighting the potential clinical value of behavior management in addressing dietary issues. Besides, the higher incidence of problematic mealtime behaviors in Chinese ASD children was also observed compared to the Chinese American children in the United States (35). This may be related to the relatively mature early intervention system and social support for children with autism in western countries (36). In contrast, in China, these resources may be relatively lacking, leading to children with autism facing more challenges in their eating behaviors (37). Additionally, the high dietary behavioral issues reported in BAMBI in the ASD group (76.7%) may be due to response bias, as parents of those children with dietary behavioral issues tend to respond to the questionnaire survey compared to parents of children with no such issues, which deserves further investigation.
Finally, linear regression model suggested that BAMBI scores have a statistically significant predictive effect on GI symptoms in ASD cases. The dietary behavior of children with autism may be a target for comprehensive intervention (38) and is an important aspect of behavioral therapy (39). Due to the dietary behaviors of individuals with ASD often occurring at home, training in Applied Behavior Analysis (ABA) and Reflective Functioning (RF) for parents of children with ASD is more important (40).
Several limitations warrant further discussion. Firstly, although our data suggests that the validity and reliability of BAMBI are acceptable, the third subscale was not included in the subsequent analysis, and a larger sample size may be needed in the future to further validate and optimize the BAMBI scale. Secondly, dietary behavior habits are related to dietary habits, but we didn't collect family food logs to conduct further analysis on the dietary differences. Thirdly, due to the small sample size, a larger study is needed to verify some of the observations.
In summary, BAMBI is a validated tool for assessing dietary behaviors in autistic children in China. Compared with their typically developing peers, ASD children presented more dietary behavior problems. This study emphasizes the identification of abnormal eating behaviors in early childhood for early intervention.
Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by the Ethics Board of Guizhou Provincial People's Hospital (2024-138). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants' legal guardians/next of kin.
Author contributions
LiZ: Project administration, Writing – original draft, Writing – review & editing, Formal analysis. YZ: Writing – review & editing, Writing – original draft. ZP: Writing – original draft, Data curation, Investigation. YC: Writing – original draft, Data curation, Investigation. LaZ: Data curation, Investigation, Writing – original draft. LL: Data curation, Investigation, Writing – original draft. YW: Conceptualization, Funding acquisition, Project administration, Supervision, Writing – review & editing. HZ: Conceptualization, Funding acquisition, Project administration, Supervision, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by the National Natural Science Foundation of China (Grant no.: 82360279) and the Shanghai Shenkang Hospital Development Center (Grant no.: SHDC12024106).
Acknowledgments
The authors would like to thank all the children and parents for their participation, and the staff of the four hospitals for their support.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1.
LordCElsabbaghMBairdGVeenstra-VanderweeleJ. Autism spectrum disorder. Lancet. (2018) 392:508–20. 10.1016/S0140-6736(18)31129-2
2.
ZeidanJFombonneEScorahJIbrahimADurkinMSSaxenaSet alGlobal prevalence of autism: a systematic review update. Autism Res. (2022) 15:778–90. 10.1002/aur.2696
3.
MaennerMJWarrenZWilliamsARAmoakoheneEBakianAVBilderDAet alPrevalence and characteristics of autism spectrum disorder among children aged 8 years—autism and developmental disabilities monitoring network, 11 sites, United States, 2020. Mmwr Surveill Summ. (2023) 72:1–14. 10.15585/mmwr.ss7202a1
4.
RussellGStapleySNewlove-DelgadoTSalmonAWhiteRWarrenFet alTime trends in autism diagnosis over 20 years: a UK population-based cohort study. J Child Psychol Psychiatry. (2022) 63:674–82. 10.1111/jcpp.13505
5.
ZhouHXuXYanWZouXWuLLuoXet alPrevalence of autism spectrum disorder in China: a nationwide multi-center population-based study among children aged 6 to 12 years. Neurosci. Bull. (2020) 36:961–71. 10.1007/s12264-020-00530-6
6.
YapCXHendersAKAlvaresGAWoodDKrauseLTysonGWet alAutism-related dietary preferences mediate autism-gut microbiome associations. Cell. (2021) 184:5916–31. 10.1016/j.cell.2021.10.015
7.
BaraskewichJvon RansonKMMcCrimmonAMcMorrisCA. Feeding and eating problems in children and adolescents with autism: a scoping review. Autism. (2021) 25:1505–19. 10.1177/1362361321995631
8.
EspositoMMirizziPFaddaRPirolloCRicciardiOMazzaMet alFood selectivity in children with autism: guidelines for assessment and clinical interventions. Int J Environ Res Public Health. (2023) 20:5092. 10.3390/ijerph20065092
9.
NimbleyEGoldsLSharpeHGillespie-SmithKDuffyF. Sensory processing and eating behaviours in autism: a systematic review. Eur Eat Disord Rev. (2022) 30:538–59. 10.1002/erv.2920
10.
ByrskaABlazejczykIFarugaAPotaczekMWilczynskiKMJanas-KozikM. Patterns of food selectivity among children with autism spectrum disorder. J Clin Med. (2023) 12:5469. 10.3390/jcm12175469
11.
WenzellMLPulverSLMcMahonMRubioEKGillespieSBerryRCet alClinical correlates and prevalence of food selectivity in children with autism spectrum disorder. J Pediatr. (2024) 269:114004. 10.1016/j.jpeds.2024.114004
12.
LeaderGO'ReillyMGilroySPChenJLFerrariCMannionA. Comorbid feeding and gastrointestinal symptoms, challenging behavior, sensory issues, adaptive functioning and quality of life in children and adolescents with autism spectrum disorder. Dev Neurorehabil. (2021) 24:35–44. 10.1080/17518423.2020.1770354
13.
ChistolLTBandiniLGMustAPhillipsSCermakSACurtinC. Sensory sensitivity and food selectivity in children with autism spectrum disorder. J Autism Dev Disord. (2018) 48:583–91. 10.1007/s10803-017-3340-9
14.
DaSRGomesDL. Eating behavior and nutritional profile of children with autism spectrum disorder in a reference center in the Amazon. Nutrients. (2024) 16:452. 10.3390/nu16030452
15.
AmadiCNOrishCNFrazzoliCOrisakweOE. Dietary interventions for autism spectrum disorder: an updated systematic review of human studies. Psychiatriki. (2022) 33:228–42. 10.22365/jpsych.2022.073
16.
SharpWGBurrellTLBerryRCStubbsKHMcCrackenCEGillespieSEet alThe autism managing eating aversions and limited variety plan vs parent education: a randomized clinical trial. J Pediatr. (2019) 211:185–92. 10.1016/j.jpeds.2019.03.046
17.
MartinsYYoungRLRobsonDC. Feeding and eating behaviors in children with autism and typically developing children. J Autism Dev Disord. (2008) 38:1878–87. 10.1007/s10803-008-0583-5
18.
LaudRBGirolamiPABoscoeJHGulottaCS. Treatment outcomes for severe feeding problems in children with autism spectrum disorder. Behav Modif. (2009) 33:520–36. 10.1177/0145445509346729
19.
AndersonSEMustACurtinCBandiniLG. Meals in our household: reliability and initial validation of a questionnaire to assess child mealtime behaviors and family mealtime environments. J Acad Nutr Diet. (2012) 112:276–84. 10.1016/j.jada.2011.08.035
20.
LukensCTLinscheidTR. Development and validation of an inventory to assess mealtime behavior problems in children with autism. J Autism Dev Disord. (2008) 38:342–52. 10.1007/s10803-007-0401-5
21.
CastroKPerryISFerreiraGPMarchezanJBeckerMRiesgoR. Validation of the brief autism mealtime behavior inventory (bambi) questionnaire. J Autism Dev Disord. (2019) 49:2536–44. 10.1007/s10803-019-04006-z
22.
ThullenMBonsallA. Co-parenting quality, parenting stress, and feeding challenges in families with a child diagnosed with autism spectrum disorder. J Autism Dev Disord. (2017) 47:878–86. 10.1007/s10803-016-2988-x
23.
ShmayaYEilat-AdarSLeitnerYReifSGabisLV. Meal time behavior difficulties but not nutritional deficiencies correlate with sensory processing in children with autism spectrum disorder. Res Dev Disabil. (2017) 66:27–33. 10.1016/j.ridd.2017.05.004
24.
ProschanMA. Sample size re-estimation in clinical trials. Biom J. (2009) 51:348–57. 10.1002/bimj.200800266
25.
MeralBFidanA. A study on turkish adaptation, validity and reliability of the brief autism mealtime behavior inventory (bambi). Procedia Soc Behav Sci. (2014) 116:403–8. 10.1016/j.sbspro.2014.01.230
26.
LambogliaARomanoRValenteDBerardiACavalliGGiovannoneFet alBrief autism mealtime behavior inventory (bambi): Italian translation and validation. Children. (2023) 10:1201. 10.3390/children10071201
27.
SchneiderCKMelmedRDBarstowLEEnriquezFJRanger-MooreJOstremJA. Oral human immunoglobulin for children with autism and gastrointestinal dysfunction: a prospective, open-label study. J Autism Dev Disord. (2006) 36:1053–64. 10.1007/s10803-006-0141-y
28.
SantosJ. Cronbach’s alpha: a tool for assessing the reliability of scales. J Extension. (1999) 37:1–5.
29.
DeMandAJohnsonCFoldesE. Psychometric properties of the brief autism mealtime behaviors inventory. J Autism Dev Disord. (2015) 45:2667–73. 10.1007/s10803-015-2435-4
30.
PaneraiSCataniaVIngogliaSRuccellaDFerriRZingaleMet alEating and sensory features of children with autism spectrum disorder and their typically developing peers. Am J Occup Ther. (2023) 77:7706205040. 10.5014/ajot.2023.050226
31.
MalhiPSainiSBhartiBAttriSSankhyanN. Sensory processing dysfunction and mealtime behavior problems in children with autism. Indian Pediatr. (2021) 58:842–5.
32.
FishbeinMCoxSSwennyCMogrenCWalbertLFrakerC. Food chaining: a systematic approach for the treatment of children with feeding aversion. Nutr Clin Pract. (2006) 21:182–4. 10.1177/0115426506021002182
33.
VolkertVMVazPC. Recent studies on feeding problems in children with autism. J Appl Behav Anal. (2010) 43:155–9. 10.1901/jaba.2010.43-155
34.
BredaCSanteroSContiMVCenaH. Programmes to manage food selectivity in individuals with autism spectrum disorder. Nutr Res Rev. (2025) 38:112–25. 10.1017/S0954422424000052
35.
GrayHLChiangHM. Brief report: mealtime behaviors of Chinese American children with autism spectrum disorder. J Autism Dev Disord. (2017) 47:892–7. 10.1007/s10803-016-2993-0
36.
BebbingtonABeechamJ. Social services support and expenditure for children with autism. Autism. (2007) 11:43–61. 10.1177/1362361307070911
37.
LiFLiQShenQZhangXLengHLiuYet alThe support needs of parents of children with autism spectrum disorder: a qualitative study based on the nurturing care framework. J Adv Nurs. (2024):1–14. 10.1111/jan.16681
38.
SharpWGVolkertVMScahillLMcCrackenCEMcElhanonB. A systematic review and meta-analysis of intensive multidisciplinary intervention for pediatric feeding disorders: how standard is the standard of care?J Pediatr. (2017) 181:116–24. 10.1016/j.jpeds.2016.10.002
39.
VolkertVMBurrellLBerryRCWaddleCWhiteLBottiniSet alIntensive multidisciplinary feeding intervention for patients with avoidant/restrictive food intake disorder associated with severe food selectivity: an electronic health record review. Int J Eat Disord. (2021) 54:1978–88. 10.1002/eat.23602
40.
HodgesAKHathawayKLMcMahonMVolkertVMSharpWG. Treatment of feeding concerns in children with autism spectrum disorder: a systematic review of behavioral interventions with caregiver training. Behav Modif. (2023) 47:936–58. 10.1177/01454455221137328
Summary
Keywords
autism spectrum disorder, reliability and validity, dietary behavior, brief autism mealtime behavior inventory, gastrointestinal problem
Citation
Zhang L, Zhang Y, Peng Z, Chen Y, Zhang L, Liang L, Wang Y and Zhou H (2025) Assessment of mealtime behaviors in Chinese children with autism spectrum disorder. Front. Pediatr. 13:1597023. doi: 10.3389/fped.2025.1597023
Received
20 March 2025
Accepted
30 May 2025
Published
12 June 2025
Volume
13 - 2025
Edited by
Cheuk-Wing Fung, Hong Kong Children’s Hospital, Hong Kong SAR, China
Reviewed by
Zeynep Göker, Ankara City Hospital, Türkiye
Stephenie Liu, Child Assessment Service, China
Updates
Copyright
© 2025 Zhang, Zhang, Peng, Chen, Zhang, Liang, Wang and Zhou.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yi Wang yiwang@shmu.edu.cn Hao Zhou zhouhao_ekyy@fudan.edu.cn
†These authors have contributed equally to this work
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.