An Integrated Nutrition Intervention to Promote Healthy Eating Habits for Children With ASD

Autism Spectrum Disorder Clinical Trial

Official title:

An Integrated Nutrition Intervention Through the Part C Early Intervention Services to Promote Healthy Eating Habits for Children With ASD

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT05194345
• Other study ID #: STUDY002968
• Status: Active, not recruiting
• Phase: N/A
• Start date: January 27, 2022
• Est. completion date: May 31, 2024

Study information

• Verified date: May 2024
• Source: University of South Florida
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

There is an unmet need for nutrition interventions that address both autism spectrum disorder (ASD) specific feeding challenges and unbalanced eating habits among children with ASD to prevent future chronic health conditions. Children with ASD tend to consume few fruit and vegetables and mainly high-energy dense foods, including sugar-sweetened beverages and processed snacks. Obesity prevalence in children with ASD is up to 40% higher than in typically developing children, and recent studies show significantly elevated risks of hyperlipidemia and hypertension among individuals with ASD, regardless of using psychotropic medications. Our interdisciplinary team conducted a preliminary study to examine diet quality and mealtime behaviors among diverse children with ASD in Florida (34% Hispanic/Latino) and parental preferences for nutrition interventions. Based on the study findings, we developed the manual for our nutrition intervention, Autism Eats, for children with ASD enrolled in the Part C of Individuals with Disabilities Education Act (IDEA) Early Intervention (EI) services. Our Autism Eats manual and parent materials are based on ASD-specific feeding strategies such as food chaining combined with behaviorally-focused nutrition intervention strategies such as goal setting and weekly meal planning to promote healthy eating. Among children with ASD enrolled in Part C EI services in Florida, we will conduct a randomized controlled trial (RCT) with the nutrition intervention program, Autism Eats, and the enhanced usual care (EUC) comparison program. The Autism Eats intervention is to prevent problematic mealtime behaviors and promote development of healthy eating habits. We expect that implementing the Autism Eats will be feasible and the intervention will be well-received by EI providers and parent-child dyads. We will examine differences in children's food intakes (fruit and vegetables), food variety, diet quality, and problematic mealtime behaviors between children in Autism Eats and those in the EUC groups at post-intervention and 5-month follow-up from baseline.

Description:

The aim of the study is to evaluate the feasibility and preliminary efficacy of Autism Eats in improving dietary intake and mealtime behaviors of children with ASD. We will enroll 30 early intervention (EI) providers who work with dyads of parent and child with ASD (n=48) and randomly assign them into either the Autism Eats or Enhanced Usual Care (EUC) group. We will test the feasibility of enrollment, implementation, and evaluation of Autism Eats. We expect that Autism Eats will be feasible and well-received by EI providers and parent-child dyads. Feasibility will be determined by benchmarks set in each of the following categories: (1) reach/participation; (2) attrition; (3) completion; (4) fidelity; (5) compatibility; and (6) positive participant feedback. To assess the preliminary efficacy of Autism Eats for improving child dietary intake and mealtime behaviors, we will use a validated tool to assess dietary intake of children and problematic mealtime behaviors. While evaluation of outcomes is more appropriate for a fully-powered clinical trial, we will examine variance and effect sizes of key outcomes at baseline, post-intervention, and 5-month follow-up. We will examine differences in children's food intakes (fruit and vegetables), food variety, diet quality, and problematic mealtime behaviors between children in Autism Eats and those in the EUC groups at post-intervention and 5-month follow-up from baseline. As an exploratory aim, we will explore whether child weight status differs between Autism Eats and EUC groups at 5-month follow-up assessment. Height and weight of children will be measured, and weight-for-length based on the CDC growth chart (birth to 3 years)17 will be calculated and weight status will be determined by the percentile chart by sex. The long-term goal is to identify and implement interventions in early childhood that improve health trajectories in populations with ASD.

Random assignment will be made utilizing a random number generator after baseline data collection is completed. The Autism Eats intervention consists of ten 25-minute weekly lessons, two monthly booster sessions, social media components, and provider training and on-going support. Lessons integrate ASD-specific feeding strategies such as repeated exposures, food chaining, and making regular mealtime routines and behaviorally-focused nutrition content and activities utilizing goal setting, healthy meal planning, monitoring progress, strategies to overcome barriers, and creating healthy home food environment. The EI providers are well-trained to use personalized intervention and coaching approach in their Part C EI services, which will be applied to Autism Eats activities as well (e.g., using the child's favorite foods for lesson activities). Both in-person and telehealth versions of the intervention manual will be available (in case of the COVID-19 pandemic service restriction). There is no content difference between in-person and telehealth versions of the program, except that instructions for providers are tailored to each setting. To maintain scientific control for attention threats and increase rigor, EUC families will also receive a one-time 25-minute session on nutrition and publicly available web-based information on healthy eating (e.g., We Can! materials) weekly over 10-weeks to correspond with the number of Autism Eats sessions. These strategies have been successfully used as comparison offerings in previous RCTs.

The primary outcome measure is dietary intake: food groups, food variety, and diet quality. Data collection times are at baseline, post-intervention (about 10-11 weeks from baseline), and 5-month follow-up from baseline. Three-day food records will be completed by parents and data will be entered into the NCI Automated Self-administered 24-hour Dietary Recall (ASA24) by research assistants. We focus on average daily fruit and vegetables and daily food variety. For all children aged 2 years or older, diet quality will be determined by the Healthy Eating Index's total and sub-component scores (adequacy vs. moderation food categories). There are two secondary outcome measures. The first is problematic mealtime behaviors. The time frame is baseline, post-intervention, and 5-month follow-up from baseline. The Brief Autism Mealtime Behavior Inventory (BAMBI), which is validated and used in many previous research studies will be used to assess children with ASD's problematic mealtime behaviors. Parents will complete the survey via REDCap. The BAMBI contains 18 questions and sues a 5-point scale, with response options ranging from 1 (Never) to 5 (Almost every meal), for reporting the frequency of a behavior. Each question also has a yes or no option for parents to indicate if they perceive the behaviors as problematic. The BAMBI includes the subscales of Limited Variety, Food Refusal, and Features of Autism. The survey takes about 5 minutes to complete. The second is anthropometric- height and weight. The time frame is baseline and 5-month follow-up from baseline. Parents will be given options for their child's and their own anthropometric assessments. They can come to the USF office and get children's and their own height and weight measured by a trained research assistant (RA) or a RA can visit participants' house to use the same portable stadiometer and weight scale. If only virtual height and weight measurement is accessible (due to the COVID-19 pandemic), a metal ruler and a bathroom weight scale will be sent to the participant's house and a RA instructed assessment will be virtually completed. As a standard weight status assessment for birth to 36 months, weight-for-length based on the CDC growth chart will be calculated and weight status will be determined by the percentile chart by sex. Parent BMI will be calculated and used as a covariate in data analyses. If height and weight information is available for the spouse of the participating parent or the other biological father/mother, it will be recorded on the form.

For our RCT, we will enroll a total of 48 parent-child dyads with a randomization between Autism Eats intervention and EUC comparison group. The sample size and power calculation was not formally performed because we do not have our own reference effect size values for the study outcomes and because it is not cost-effective to conduct a full-scale RCT without preliminary data. However, based on our previous studies and literature on calculating preliminary RCT sample sizes, our target sample size of 48 parent-child dyads can be justified. We are using the size of the parent-child dyads because children's dietary behavioral outcomes are the primary RCT outcomes. According to Whitehead et al. (2015) in Statistical Methods in Medical Research journal, pilot RCTs do not have the same objectives as a main trial and using formal power considerations is usually not necessary. We justify our target sample size based on their pilot sample size calculations and recommendations. With an estimated small effect size (0.2), an n=25 pilot RCT sample size (per arm) is recommended. For a medium standardized effect size (0.5), a sample size of 15 per arm is recommended. Based on previous nutrition education literature and from our own experiences, we anticipate seeing a small to medium preliminary effect size (approximately 0.3-0.4) conservatively, and therefore, our sample size of 48 parent-child dyads satisfies their pilot RCT sample size recommendations.

Specific Analyses for the Individual Study Aims: Aim 2a. Test the feasibility of enrollment, implementation, and evaluation of Autism Eats. We hypothesize that Autism Eats will be feasible and well received by EI providers and parent-child dyads, which will be assessed with (1) reach/participation; (2) attrition; (3) completion; (4) fidelity; (5) compatibility; and (6) qualitative feedback from participants. The rates of reach, participation, attrition, and completion will be computed. Descriptive statistics will be used to examine data distributions and frequencies. If there is substantial variability in attrition, completion, fidelity, and compatibility, we will examine the relations of such variables with any other variables we collect during the study such as demographic variables of EI providers and parent-child dyads.

Aim 2b.To assess the preliminary efficacy of Autism Eats on child dietary intake and mealtime behaviors. While evaluation of outcomes is more appropriate for a fully-powered RCT, we will examine variance and effect sizes of key outcomes from pre-to post-intervention, as well as post-intervention to 5-month follow-up using non-parametric tests and confidence intervals. We expect differences in children's food group intakes, variety, diet quality, and mealtime behaviors between children who participate in Autism Eats and those in the EUC groups at post-intervention and 5-month follow-up from baseline. We will first assess whether Autism Eats and EUC groups are balanced through randomization in terms of demographic variables at baseline. For each outcome variable, we will use boxplots and scatterplots with confidence intervals to visually inspect the changes across pre-intervention, post-intervention, and 5-month follow-up by group along with descriptive statistics. Also, nonparametric longitudinal analysis will be conducted for each outcome variable with time as a within-subject factor and treatment condition as a between-subject factor to examine the difference in changes between Autism Eats and EUC groups.

Exploratory Aim. We will explore whether weight status of children are different between Autism Eats and EUC groups at 5-month follow-up assessment. Descriptive statistics and visual inspection will be used to summarize weight status by group and effect sizes will be computed. Similar to the analysis of the primary outcomes, we will conduct nonparametric analysis to compare the changes in weight status at 5-month follow-up between Autism Eats and EUC groups. Note that parent BMI will be included as a covariate in the analysis.

Biological variables. Sex: Given the sex difference in ASD prevalence, in addition to the primary data analyses as described above, data distributions will be analyzed by sex. We will then explore how male and female students respond to our intervention differently through qualitative interviews with selected sub-samples. Recommendations will be created to address any sex differences. Genetic factors: Family history of ASD and parent BMI will be measured and considered as covariates. Potential confounding factors to be considered in the analytic models. Parentage, sex, race/ethnicity, baseline child's weight status, parent education, and family income. Examine demographic variations in response to the Autism Eats intervention. Correlation will be used to examine associations between demographic variations (age, sex, race/ethnicity, SES, and baseline weight status) outcomes of the Autism Eats(food intakes, food variety, diet quality, mealtime behaviors, and weight percentile).

Attrition and Missing Data. We aim <20% dropout due to study withdrawal. Every effort will be made to prevent dropouts/missing data, and to complete relevant assessments for participants who drop out or are withdrawn, including reasons why the intervention was ended. To handle the dropout problem in this trial, we will first analyze data to see whether dropout was related to certain baseline measures and demographic variables. We will report the dropout rate and compare the distributions of baseline measures and demographic variables.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 51
• Est. completion date: May 31, 2024
• Est. primary completion date: May 24, 2024
• Accepts healthy volunteers: No
• Gender: All
• Age group: N/A to 36 Months

Eligibility

Inclusion Criteria:

• Children should be enrolled in the early intervention (EI) service and diagnosed with ASD determined by clinical assessment such as the Autism Diagnostic Observation Schedule (ADOS) or another validated evaluation tool (e.g., Gilliam Autism Rating Scale, GARS-3), if available, or be at-risk/monitored for ASD with a pending diagnosis at the time of screening. Children birth to 36 months are eligible for the EI services, and therefore, age of our research participants will range from birth to 36 months. The ASD diagnosis verification process occurs in two steps: (1) during screening; and (2) at the 5-month follow up assessment, taking into consideration the pending diagnosis at screening and potential changes in diagnosis status due to the young age of the children.

• Both the child and the parent should be available during the EI service time.

• Parents should be 18 years or older and speak fluent English and/or Spanish

Exclusion Criteria:

• Children who are on exclusive breastfeeding, medicines that may interact with appetite and food consumption, having severe GI conditions such as irritable bowel syndrome, diagnosed with feeding disorders or severe food selectivity (consuming fewer than 5 food items), or other serious medical comorbidities such as cancer.

• Children who are receiving the EI service at a daycare setting or other than home setting.

• Parent and child with ASD who have previously participated in a similar nutrition intervention study will also be excluded.

• Parent's first language is not English or Spanish.

Related Conditions & MeSH terms

• Autism Spectrum Disorder

Intervention

Behavioral:
• Autism Eats nutrition intervention
The Autism Eats intervention group will spend about 8.5 hours over 5 months (baseline, post intervention, and 5-month follow-up assessments are 30 minutes each, 25-30 minutes weekly sessions for up to 10 weeks, two 25-30 minutes monthly booster sessions, and a 60-minute exit interview). The Autism Eats intervention group EI provider will spend about 12 hours over 5 months (two 90-minutes training sessions, 25-30 minutes weekly sessions for up to 10 weeks, two 25-30 minutes monthly booster sessions, 10-minute fidelity checklist completion after each session, and a 60-minute exit interview).
• We Can! enhanced usual care
We Can! EUC control group will spend about 3 hours over 5 months (baseline, post intervention, and 5-month follow-up assessments are 30 minutes each, one 25-30 minute nutrition session, and a 60-minute exit interview). We Can! EUC control group EI provider will spend about 4.5 hours over 5 months (two 90-minutes training sessions, one 25-30 minutes session, 1-2-minute written material distribution at their 9 weekly EI sessions, and a 60-minute exit interview).

Locations

Country	Name	City	State
United States	University of South Florida	Tampa	Florida

Sponsors (1)

Lead Sponsor	Collaborator
University of South Florida

Country where clinical trial is conducted

United States, 

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* Note: There are 66 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Other	demographic characteristics	A survey with questions on sex, race/ethnicity, family history of ASD, age, parental education, income, insurance status, and history of other illnesses and comorbid health conditions such as epilepsy, sleep disorders, and anxiety disorders will be asked at baseline through the REDCap.	Baseline
Other	reach/participation, as measured in number of people reached and percent participation	We will track and document the number of early intervention (EI) providers reached by email, flyers, and introductory session, and the proportion of eligible providers agree to participate. Similarly, the number of parents reached and those who respond to the invitation will be documented, and document the proportion of parents who agree to participate in the study. A master tracking log will be used. Greater than 60% eligible providers and parent-child dyads agree to participate will be considered feasible.	Baseline
Other	attrition, in percentage	Our target attrition rate is below 20%. We will monitor and document reasons for dropping out, and clearly indicate whether it was the provider or the parent who decide to drop out.	End of study (5-month follow-up)
Other	intervention completion, in percentage	Lesson completion checklist adapted from our pilot study and previous research will be used. % completion rate will be calculated.	End of study (5-month follow-up)
Other	fidelity, as measured in a 5-point scale	To ensure that the intervention/EUC is implemented as intended, randomly selected sessions (20%) will be observed by a RA or video-recorded for later coding and check whether all lesson components are consistently implemented as designed across EI providers, adapting the 5-point scale from a previous clinical trial.	End of study (5-month follow-up)
Other	compatibility, as measured in a 5-point scale of the provider exit survey/interview	Since the intervention and EUC will be implemented through an existing early intervention (EI) service system, we will examine whether our intervention sessions fit the context of the EI services as well as the needs, expectations, and values of the EI providers on a 5-point scale, using an exit survey. Compatibility of the intervention content and activities for different levels of children's autism features and symptoms will also be examined with qualitative exit interviews with the EI providers.	End of study (5-month follow-up)
Other	parent BMI, as measured in kg/m² calculated from height (m) and weight (kg).	Parent height and weight will be assessed by a trained research assistant or it will be self-reported via REDCap survey. Parent height will be measured with a stadiometer and weight will be measured on a scale. If they are unavailable for assessment, data will be self-reported. Parent BMI (kg/m²) will be calculated and used as a covariate/mediator in data analyses.	Baseline, 5-month follow-up
Other	change in child feeding practices, as measured in mean on the Child Feeding Questionnaire using a 5-point scale.	Items are measured using a five-point Likert-type scale. Parental beliefs and attitudes regarding child feeding practices are measured in seven domains; perceived responsibility (mean of three items), parent perceived weight (mean of four items), perceived child weight (mean of three items), parents' concerns about child weight (mean of three items), monitoring (mean of three items), restriction (mean of eight items), pressure to eat (mean of four items). Mean scores of each domain will be calculated at each time point. The possible range is 1-5.	Baseline, 5-month follow-up
Primary	Change in fruit and vegetable intake from baseline, as measured by the daily amount of fruit and vegetables consumed by children	Change in daily fruit and vegetable intake based on 3-day food records. Daily amount of fruit and vegetable intake from each child participant will be estimated based on parent report 3-day food records. The change amount of fruit and vegetable intake at post- from the baseline and at 5-month follow-up from the baseline will be compared between the intervention and the enhanced usual care (EUC) control groups.	baseline, post-intervention (10 weeks from baseline), and 5-month follow-up
Primary	Change in food variety from baseline, as measured by the daily food counts consumed by children	Change in daily food counts based on 3-day food records. Daily number of food items from each child participant will be estimated based on parent report 3-day food records. The change in number of daily food items at post- from the baseline and at 5-month follow-up from the baseline will be compared between the intervention and the enhanced usual care (EUC) control groups.	baseline, post-intervention (10 weeks from baseline), and 5-month follow-up
Primary	Change in diet quality from baseline, as measured by mean Healthy Eating Index (HEI) score from the food records. HEI score ranges from 0 to 100.	Change in HEI score based on 3-day food records. Daily mean HEI score from each child participant will be estimated based on parent report 3-day food records. The change in HEI score at post- from the baseline and at 5-month follow-up from the baseline will be compared between the intervention and the enhanced usual care (EUC) control groups.	baseline, post-intervention (10 weeks from baseline), and 5-month follow-up
Secondary	Change in mealtime behaviors, as measured by total score of the Brief Autism Mealtime Behavior Inventory (score ranges 5-90).	The Brief Autism Mealtime Behavior Inventory (BAMBI), which is validated and used in many previous research studies will be used to assess children with ASD's problematic mealtime behaviors. Parents will complete the survey via REDCap. The BAMBI contains 18 questions using a 5-point scale, with response options ranging from 1 (Never) to 5 (Almost every meal), for reporting the frequency of a behavior. The score ranges from 5-90. The higher the score indicated higher problematic mealtime behaviors. Each question also has a yes or no option for parents to indicate if they perceive the behaviors as problematic. The BAMBI includes the subscales of Limited Variety, Food Refusal, and Features of Autism. The survey takes about 5 minutes to complete.	Baseline, post-intervention (10 weeks from baseline), and 5-month follow-up
Secondary	Change in child's weight-for-length/BMI percentile (calculated with height & weight), as measured by percentile on the CDC weight-for-length/BMI-for-age growth chart.	Parents will be given options for their child's anthropometric assessments. They can come to the USF office and get children's height and weight measured by a trained research assistant (RA) or a RA can visit participants' house to use a portable stadiometer and a weight scale. If only virtual height and weight measurement is accessible (due to the COVID-19 pandemic), a metal ruler and a bathroom weight scale will be sent to the participant's house and a RA instructed assessment will be virtually completed. As a standard weight status assessment for birth to 36 months, weight-for-length percentile for under 2 years and BMI percentile for 2 years or older will be calculated based on the CDC growth chart.	Baseline, 5-month follow-up