Childhood Obesity
Conditions
Keywords
Virtual Reality, Obesity, Childhood Obesity
Brief summary
The current study is a randomized pilot trial to test the feasibility of a psychoeducational virtual reality experience to increase motivation for behavior change among children with overweight or obesity.
Detailed description
The investigators will be conducting a randomized pilot trial to compare a virtual reality (VR) experience to a video. Each provides child-friendly nutrition education as well as education on consideration of future consequences (episodic future thinking). The video acts as the control condition such that we might begin to understand whether the psychological presence produced by virtual reality might increase motivation for behavior change. The VR experience consists of a game in which participants play a racing game collecting healthy or unhealthy foods on the road. Collection of healthy foods increases speed, and collection of unhealthy foods decreases speed. Participants then play in the future where the food choices they made in the past also affect how they can move in the future game. If they collected mostly unhealthy foods in the past they move slower in the future, and if they collected healthy foods in the past they move faster in the future. However, foods collected in the future game can also change their speed, and participants are able to experience both future conditions i.e. they play in the future condition depending on if they ate healthily or not in the past, and then they play in the opposite future condition. A narrator in the game provides information on making healthy choices and about considering future consequences. The control video covers similar education on making healthy choices and considering future consequences. Additionally, the control video condition also includes a short computer-based game about healthy eating. The investigators will enroll 60 English-speaking children ages 6-12 with overweight or obesity who are not in behavioral treatment to address weight and one of their parents. Participants will be recruited from the community using methods such as social media and flyers and will complete a phone-screen to determine initial eligibility. Participants determined to be eligible over the phone will come for an in-lab visit. In-lab, children will provide verbal assent and parents provide written informed consent. Children and parents will complete baseline measures, including having height and weight taken, demographic survey questions, assessment of participants' eating and physical activity behaviors, and other survey assessments selected to evaluate participants' behavioral beliefs, behavioral intentions, affect, and motivation for behavior change. Post-video or -VR participants will take the same survey assessments aimed at evaluating behavioral beliefs, intentions, affect and motivation for behavior change. Additionally, all participants will take usability assessments to determine the acceptability of the video or VR and participants randomized to the VR will complete measures to evaluate how immersive the VR seemed. At 2-week follow-up participants will again report their eating and physical activity behaviors and some cognitive measures in order to see whether the VR may have impacted behavior and cognitions.
Interventions
The virtual reality experience includes psychoeducation content about healthy eating and consideration of future consequences. It includes a game where participants are in a go kart and pick up healthy or unhealthy foods on the road. Participants play in the present and in the future.
Sponsors
Study design
Masking description
No masking. Outcomes will be assessed via surveys.
Intervention model description
Participants are randomized to control or intervention. The control condition is watching a video and playing a brief computer game, while the intervention condition consists of the virtual reality experience. Each provides child-friendly nutrition education as well as education on consideration of future consequences.
Eligibility
Inclusion criteria
This study is enrolling guardian and child dyads. Eligibility criteria include: 1. Parent is biological or legal guardian and can therefore consent on behalf of the child 2. Parent is under 80 years old and child is between 6 and 12 years old 3. Child BMI is at or above the 85th percentile for age and sex 4. Parent BMI is at or above 25
Exclusion criteria
include: 1\. Child is in behavioral weight-loss treatment (behavior weight-loss treatment will not include if their pediatrician is counseling them on their weight, but instead refers to intensive outpatient behavioral treatment for overweight/obesity only) 6. Child or parent have a history of seizures, a history of severe psychiatric conditions such as Schizophrenia or Paranoia, or use any medical devices such as pacemakers 7. Child is exhibiting any disordered eating behavior (i.e. purging, laxative or diuretic use)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in Behavioral Beliefs (Attitudes) and Intentions | At baseline and after the 10-minute, single-session, in-person intervention | Behavioral beliefs (attitudes) and intentions toward health eating were measured with items adapted from previous literature based on the Theory of Planned Behavior. Where needed, language was adapted to lower the reading level for child participants. Items were answered on 7 point Likert scales from strongly disagree (1) to strongly agree (7). Scores were summed for child attitudes (beliefs), child intentions, and caregiver intentions, self-reported by children and caregivers pre- and post-intervention. Eight items measured child attitudes towards eating healthy, with total scores ranging from 8 to 56, and greater scores indicating more positive attitudes toward eating healthier. Six items measured child intentions toward healthy eating, with total scores ranging 6 to 42, and greater scores indicating greater intentions to engage in the behavior. Four items measured caregiver intentions to help child, with total scores ranging from 4 to 28, and greater scores indicating gre |
| Acceptability as Measured by Child Interview Questions | Assessed immediately after the 10-minute, single-session, in-person virtual reality or video intervention | Assessed with child interview questions created by the study team. Questions ask children to respond by indicating which smiley face on a 5 point analog scale best represents how they feel, from 1 (unhappy/not at all) to 5 (very happy/a lot). Acceptability was assessed by asking how much the child liked the intervention, and motivation was assessed by asking the child how motivated they are to eat healthier post-intervention. Greater numbers on each question represent greater acceptability and greater post-intervention motivation, respectively. |
| Change in Self-Efficacy for Healthy Eating and Physical Activity (SE-HEPA) | Assessed at baseline (before the intervention) and immediately after the 10-minute, single-session, in-person virtual reality or video intervention | Child self-report survey measure. The Self-Efficacy for Healthy Eating and Physical Activity (SE-HEPA) measure was developed by Steele, Bindler, Power, and Daratha (2008) and is based on Motl et al.'s (2000) unidimensional measure of self-efficacy for exercise. Based on Bandura's (1977) social cognitive theory, SE-HEPA was designed to evaluate a children's or adolescents' confidence in their ability to engage in healthy eating (8 items) and physical activity behaviors (8 items). Items are answered on 5 point Likert scales from strongly disagree (1) to strongly agree (5). Scores are summed to create two subscales: self-efficacy for healthy eating, and self-efficacy for physical activity. Possible scores for each subscale range from 8 to 40, with greater scores indicating greater self-efficacy. |
| Change in Caregiver Readiness to Change Diet and Physical Activity | Items are assessed immediately pre intervention and at 2-weeks after intervention | The caregiver Readiness to Change Diet and Physical Activity items were adapted from previously used questions and designed to assess caregiver readiness to help their child change physical activity and eating behaviors. Parents self-report their intentions to help their children with healthy habits by answering Do you intend to find ways to improve the way your child eats? and Do you intend to find ways to improve your child's physical activity level? with responses from 1 (No, and I'm not intending to make changes), 2 (Yes, I intend to make changes in the next 6 months), 3 (Yes, I intend to make changes in the next month), to 4 (I'm already helping my child improve their \[eating/activity\]). Scores range from 1 to 4, with greater scores indicating greater caregiver readiness to help their child change. Items are not aggregated, and each item is analyzed separately. |
| Acceptability as Measured by the System Usability Scale | Assessed immediately after the 10-minute, single-session, in-person virtual reality or video intervention | The System Usability Scale (SUS) was used to measure usability of the intervention. The items were adapted so that the caregiver could report on their child's experience of usability. SUS consists of 10 items with five response options on a Likert scale: strongly disagree (0) to strongly agree (4). SUS yields a single number representing a composite measure of the overall usability of a system being studied, ranging from 1 to 100, with greater scores reflecting greater usability, and calculated as follows (Brooke, 1996): Each item's score contribution will range from 0 to 4. For items 1,3,5,7,and 9 the score contribution is the scale position minus 1. For items 2,4,6,8 and 10, the contribution is 5 minus the scale position. Multiply the sum of the scores by 2.5 to obtain the overall score. |
| Acceptability as Measured by the Usefulness, Satisfaction and Ease of Use Questionnaire | Assessed immediately after the 10-minute, single-session, in-person virtual reality or video intervention | The Usefulness, Satisfaction and Ease of Use Questionnaire was used to measure acceptability, specifically usefulness, ease of use, ease of learning, and satisfaction with an intervention or service. Items were adapted to have the caregivers report on their child's experience of usability. The shortened instrument used in this study (Lund, 2001) contains 19 items, and respondents indicate their agreement with each statement on a scale from 1 (strongly disagree) to 7 (strongly agree). Scores are summed to create an overall score of usability, ranging from 19 to 133, with greater scores indicating greater usability. |
| Acceptability as Measured by Degree of Immersion (for Those in the Virtual Reality Condition) | Assessed immediately after the 10-minute, single-session, in-person virtual reality intervention | Degree of Immersion in the virtual environment is assessed by parent self-report with the Presence Questionnaire (Witmer 2005). The Presence Questionnaire is a 24 item questionnaire that assesses involvement, auditory fidelity, adaption/immersion, interface quality, consistency with expectations, and haptic/visual fidelity. Given that sense of touch was not applicable to the present study, this item (23) was not included in the final score. Responses to the items are on a scale from 1 (not at all) to 7 (completely), and responses are summed to create an overall score. Potential scores range from 23 to 161, with greater scores indicating greater self-reported feelings of being immersed in the virtual environment. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Change in Child Eating Behavior | Immediately pre intervention/control and at 2 week follow-up | Parents reported on their child's eating behavior of the previous week with two different items asking parents to report the number of days per week the child ate breakfast and family dinner. |
| Change in Screen Time and Activity Behavior | Immediately pre intervention/control and at 2 week follow-up | Parents reported on their child's activity behavior of the previous week with two different items asking parents to report the average number of hours per day the child engaged in screen time and physical activity, on a scale from 1 to 5, with 1 = none; 2 = less than 1 hour per day; 3 = 1 to 2 hours per day; 4 = 3 to 4 hours per day; 5 = more than 4 hours per day. |
| Change in Child Diet | Immediately pre intervention/control and at 2 week follow-up | Parents reported on their child's eating behavior of the previous week with three different items asking parents to report the number of servings per week the child ate of fruits, vegetables, and fast foods. |
Countries
United States
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| Video (Children) This is the control condition, which views a short video and online interactive game with psychoeducational material on healthy eating and consideration of future consequences. | 13 |
| Virtual Reality (Children) This is the intervention condition, which participates in the virtual reality experience; the experience includes psychoeducational material on healthy eating and consideration of future consequences.
Virtual Reality Experience: The virtual reality experience includes psychoeducation content about healthy eating and consideration of future consequences. It includes a game where participants are in a go kart and pick up healthy or unhealthy foods on the road. Participants play in the present and in the future. | 14 |
| Video (Caregivers) This is the control condition, which views a short video and online interactive game with psychoeducational material on healthy eating and consideration of future consequences. | 13 |
| Virtual Reality (Caregivers) This is the intervention condition, which participates in the virtual reality experience; the experience includes psychoeducational material on healthy eating and consideration of future consequences.
Virtual Reality Experience: The virtual reality experience includes psychoeducation content about healthy eating and consideration of future consequences. It includes a game where participants are in a go kart and pick up healthy or unhealthy foods on the road. Participants play in the present and in the future. | 14 |
| Total | 54 |
Baseline characteristics
| Characteristic | Video (Children) | Total | Virtual Reality (Caregivers) | Video (Caregivers) | Virtual Reality (Children) |
|---|---|---|---|---|---|
| Age, Continuous | 10.02 years STANDARD_DEVIATION 2.21 | 27.43 years STANDARD_DEVIATION 19.74 | 43.71 years STANDARD_DEVIATION 8.29 | 45.31 years STANDARD_DEVIATION 6.07 | 10.66 years STANDARD_DEVIATION 1.51 |
| Ethnicity (NIH/OMB) Hispanic or Latino | 2 Participants | 4 Participants | 0 Participants | 2 Participants | 0 Participants |
| Ethnicity (NIH/OMB) Not Hispanic or Latino | 11 Participants | 50 Participants | 14 Participants | 11 Participants | 14 Participants |
| Ethnicity (NIH/OMB) Unknown or Not Reported | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) American Indian or Alaska Native | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Asian | 0 Participants | 2 Participants | 1 Participants | 0 Participants | 1 Participants |
| Race (NIH/OMB) Black or African American | 2 Participants | 13 Participants | 4 Participants | 2 Participants | 5 Participants |
| Race (NIH/OMB) More than one race | 2 Participants | 4 Participants | 0 Participants | 1 Participants | 1 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 0 Participants | 0 Participants | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) White | 9 Participants | 35 Participants | 9 Participants | 10 Participants | 7 Participants |
| Region of Enrollment United States | 13 Participants | 54 Participants | 14 Participants | 13 Participants | 14 Participants |
| Sex: Female, Male Female | 6 Participants | 36 Participants | 12 Participants | 10 Participants | 8 Participants |
| Sex: Female, Male Male | 7 Participants | 18 Participants | 2 Participants | 3 Participants | 6 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | 0 / 0 | 0 / 0 |
| other Total, other adverse events | 0 / 0 | 0 / 0 |
| serious Total, serious adverse events | 0 / 0 | 0 / 0 |
Outcome results
Acceptability as Measured by Child Interview Questions
Assessed with child interview questions created by the study team. Questions ask children to respond by indicating which smiley face on a 5 point analog scale best represents how they feel, from 1 (unhappy/not at all) to 5 (very happy/a lot). Acceptability was assessed by asking how much the child liked the intervention, and motivation was assessed by asking the child how motivated they are to eat healthier post-intervention. Greater numbers on each question represent greater acceptability and greater post-intervention motivation, respectively.
Time frame: Assessed immediately after the 10-minute, single-session, in-person virtual reality or video intervention
Population: Data were reported by the child only. This item was not collected from caregivers.
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Video | Acceptability as Measured by Child Interview Questions | Acceptability (1 question) | 3.54 score on a scale | Standard Deviation 0.84 |
| Video | Acceptability as Measured by Child Interview Questions | Motivating (1 question) | 4.08 score on a scale | Standard Deviation 1 |
| Virtual Reality | Acceptability as Measured by Child Interview Questions | Acceptability (1 question) | 4.31 score on a scale | Standard Deviation 0.48 |
| Virtual Reality | Acceptability as Measured by Child Interview Questions | Motivating (1 question) | 3.69 score on a scale | Standard Deviation 0.86 |
Acceptability as Measured by Degree of Immersion (for Those in the Virtual Reality Condition)
Degree of Immersion in the virtual environment is assessed by parent self-report with the Presence Questionnaire (Witmer 2005). The Presence Questionnaire is a 24 item questionnaire that assesses involvement, auditory fidelity, adaption/immersion, interface quality, consistency with expectations, and haptic/visual fidelity. Given that sense of touch was not applicable to the present study, this item (23) was not included in the final score. Responses to the items are on a scale from 1 (not at all) to 7 (completely), and responses are summed to create an overall score. Potential scores range from 23 to 161, with greater scores indicating greater self-reported feelings of being immersed in the virtual environment.
Time frame: Assessed immediately after the 10-minute, single-session, in-person virtual reality intervention
Population: Data were collected in Virtual Reality condition only. Data were reported by the caregivers, who reported for both the child and themselves. Only one score is reported for each child-caregiver dyad.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Virtual Reality | Acceptability as Measured by Degree of Immersion (for Those in the Virtual Reality Condition) | 116.92 score on a scale | Standard Deviation 20.22 |
Acceptability as Measured by the System Usability Scale
The System Usability Scale (SUS) was used to measure usability of the intervention. The items were adapted so that the caregiver could report on their child's experience of usability. SUS consists of 10 items with five response options on a Likert scale: strongly disagree (0) to strongly agree (4). SUS yields a single number representing a composite measure of the overall usability of a system being studied, ranging from 1 to 100, with greater scores reflecting greater usability, and calculated as follows (Brooke, 1996): Each item's score contribution will range from 0 to 4. For items 1,3,5,7,and 9 the score contribution is the scale position minus 1. For items 2,4,6,8 and 10, the contribution is 5 minus the scale position. Multiply the sum of the scores by 2.5 to obtain the overall score.
Time frame: Assessed immediately after the 10-minute, single-session, in-person virtual reality or video intervention
Population: Data were reported by the caregivers, who reported for both the child and themselves. Only one score is reported for each child-caregiver dyad.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Video | Acceptability as Measured by the System Usability Scale | 80.63 scores on a scale | Standard Deviation 10.72 |
| Virtual Reality | Acceptability as Measured by the System Usability Scale | 76.54 scores on a scale | Standard Deviation 17.66 |
Acceptability as Measured by the Usefulness, Satisfaction and Ease of Use Questionnaire
The Usefulness, Satisfaction and Ease of Use Questionnaire was used to measure acceptability, specifically usefulness, ease of use, ease of learning, and satisfaction with an intervention or service. Items were adapted to have the caregivers report on their child's experience of usability. The shortened instrument used in this study (Lund, 2001) contains 19 items, and respondents indicate their agreement with each statement on a scale from 1 (strongly disagree) to 7 (strongly agree). Scores are summed to create an overall score of usability, ranging from 19 to 133, with greater scores indicating greater usability.
Time frame: Assessed immediately after the 10-minute, single-session, in-person virtual reality or video intervention
Population: Data were reported by the caregivers, who reported for both the child and themselves. Only one score is reported for each child-caregiver dyad.
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Video | Acceptability as Measured by the Usefulness, Satisfaction and Ease of Use Questionnaire | 75.58 score on a scale | Standard Deviation 12.67 |
| Virtual Reality | Acceptability as Measured by the Usefulness, Satisfaction and Ease of Use Questionnaire | 79.31 score on a scale | Standard Deviation 15.67 |
Change in Behavioral Beliefs (Attitudes) and Intentions
Behavioral beliefs (attitudes) and intentions toward health eating were measured with items adapted from previous literature based on the Theory of Planned Behavior. Where needed, language was adapted to lower the reading level for child participants. Items were answered on 7 point Likert scales from strongly disagree (1) to strongly agree (7). Scores were summed for child attitudes (beliefs), child intentions, and caregiver intentions, self-reported by children and caregivers pre- and post-intervention. Eight items measured child attitudes towards eating healthy, with total scores ranging from 8 to 56, and greater scores indicating more positive attitudes toward eating healthier. Six items measured child intentions toward healthy eating, with total scores ranging 6 to 42, and greater scores indicating greater intentions to engage in the behavior. Four items measured caregiver intentions to help child, with total scores ranging from 4 to 28, and greater scores indicating gre
Time frame: At baseline and after the 10-minute, single-session, in-person intervention
Population: The outcome measures were analyzed separately for children and caregivers. Data below was collected by either the child only or the caregiver only, as indicated in the row title. Different measures were collected for children and caregivers, as indicated in the measure description.
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Video | Change in Behavioral Beliefs (Attitudes) and Intentions | Pre-Intervention Child Intentions toward healthy eating | 27.62 score on a scale | Standard Deviation 10.74 |
| Video | Change in Behavioral Beliefs (Attitudes) and Intentions | Post-Intervention Child Intentions toward healthy eating | 31.46 score on a scale | Standard Deviation 11.1 |
| Video | Change in Behavioral Beliefs (Attitudes) and Intentions | Pre-Intervention Child attitudes toward healthy eating | 21.31 score on a scale | Standard Deviation 7.18 |
| Video | Change in Behavioral Beliefs (Attitudes) and Intentions | Post-Intervention Child Healthy eating attitudes | 21.85 score on a scale | Standard Deviation 7.12 |
| Video | Change in Behavioral Beliefs (Attitudes) and Intentions | Pre-Intervention parent intentions toward healthy eating | 24.54 score on a scale | Standard Deviation 3.13 |
| Video | Change in Behavioral Beliefs (Attitudes) and Intentions | Post-Intervention parent intentions toward healthy eating | 25 score on a scale | Standard Deviation 3.14 |
| Virtual Reality | Change in Behavioral Beliefs (Attitudes) and Intentions | Pre-Intervention parent intentions toward healthy eating | 24.36 score on a scale | Standard Deviation 6.28 |
| Virtual Reality | Change in Behavioral Beliefs (Attitudes) and Intentions | Pre-Intervention Child Intentions toward healthy eating | 25.14 score on a scale | Standard Deviation 9.45 |
| Virtual Reality | Change in Behavioral Beliefs (Attitudes) and Intentions | Post-Intervention Child Healthy eating attitudes | 21.71 score on a scale | Standard Deviation 5.01 |
| Virtual Reality | Change in Behavioral Beliefs (Attitudes) and Intentions | Post-Intervention Child Intentions toward healthy eating | 27 score on a scale | Standard Deviation 8.8 |
| Virtual Reality | Change in Behavioral Beliefs (Attitudes) and Intentions | Post-Intervention parent intentions toward healthy eating | 26.93 score on a scale | Standard Deviation 1.94 |
| Virtual Reality | Change in Behavioral Beliefs (Attitudes) and Intentions | Pre-Intervention Child attitudes toward healthy eating | 19.36 score on a scale | Standard Deviation 4.13 |
Change in Caregiver Readiness to Change Diet and Physical Activity
The caregiver Readiness to Change Diet and Physical Activity items were adapted from previously used questions and designed to assess caregiver readiness to help their child change physical activity and eating behaviors. Parents self-report their intentions to help their children with healthy habits by answering Do you intend to find ways to improve the way your child eats? and Do you intend to find ways to improve your child's physical activity level? with responses from 1 (No, and I'm not intending to make changes), 2 (Yes, I intend to make changes in the next 6 months), 3 (Yes, I intend to make changes in the next month), to 4 (I'm already helping my child improve their \[eating/activity\]). Scores range from 1 to 4, with greater scores indicating greater caregiver readiness to help their child change. Items are not aggregated, and each item is analyzed separately.
Time frame: Items are assessed immediately pre intervention and at 2-weeks after intervention
Population: Data were reported by the caregivers only. Only one score is reported for each child-caregiver dyad. These measures were not collected from children.
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Video | Change in Caregiver Readiness to Change Diet and Physical Activity | Pre-intervention intend to help child change eating | 3.15 score on a scale | Standard Deviation 0.8 |
| Video | Change in Caregiver Readiness to Change Diet and Physical Activity | Two-week post-intervention intend to help child change eating | 3.31 score on a scale | Standard Deviation 0.86 |
| Video | Change in Caregiver Readiness to Change Diet and Physical Activity | Pre-intervention intend to help child change activity | 3.08 score on a scale | Standard Deviation 0.86 |
| Video | Change in Caregiver Readiness to Change Diet and Physical Activity | Two-week Post-intervention intend to help child change activity | 3.31 score on a scale | Standard Deviation 0.95 |
| Virtual Reality | Change in Caregiver Readiness to Change Diet and Physical Activity | Two-week Post-intervention intend to help child change activity | 3.64 score on a scale | Standard Deviation 0.63 |
| Virtual Reality | Change in Caregiver Readiness to Change Diet and Physical Activity | Pre-intervention intend to help child change eating | 3.43 score on a scale | Standard Deviation 0.51 |
| Virtual Reality | Change in Caregiver Readiness to Change Diet and Physical Activity | Pre-intervention intend to help child change activity | 3.29 score on a scale | Standard Deviation 0.73 |
| Virtual Reality | Change in Caregiver Readiness to Change Diet and Physical Activity | Two-week post-intervention intend to help child change eating | 3.86 score on a scale | Standard Deviation 0.36 |
Change in Self-Efficacy for Healthy Eating and Physical Activity (SE-HEPA)
Child self-report survey measure. The Self-Efficacy for Healthy Eating and Physical Activity (SE-HEPA) measure was developed by Steele, Bindler, Power, and Daratha (2008) and is based on Motl et al.'s (2000) unidimensional measure of self-efficacy for exercise. Based on Bandura's (1977) social cognitive theory, SE-HEPA was designed to evaluate a children's or adolescents' confidence in their ability to engage in healthy eating (8 items) and physical activity behaviors (8 items). Items are answered on 5 point Likert scales from strongly disagree (1) to strongly agree (5). Scores are summed to create two subscales: self-efficacy for healthy eating, and self-efficacy for physical activity. Possible scores for each subscale range from 8 to 40, with greater scores indicating greater self-efficacy.
Time frame: Assessed at baseline (before the intervention) and immediately after the 10-minute, single-session, in-person virtual reality or video intervention
Population: Data were reported by the child only. These data were not collected from caregivers.
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Video | Change in Self-Efficacy for Healthy Eating and Physical Activity (SE-HEPA) | Pre-intervention Physical Activity | 24.08 score on a scale | Standard Deviation 7.32 |
| Video | Change in Self-Efficacy for Healthy Eating and Physical Activity (SE-HEPA) | Post-intervention Physical Activity | 26.23 score on a scale | Standard Deviation 9.37 |
| Video | Change in Self-Efficacy for Healthy Eating and Physical Activity (SE-HEPA) | Pre-intervention healthy eating | 26.08 score on a scale | Standard Deviation 9.68 |
| Video | Change in Self-Efficacy for Healthy Eating and Physical Activity (SE-HEPA) | Post-intervention healthy eating | 28.69 score on a scale | Standard Deviation 9.89 |
| Virtual Reality | Change in Self-Efficacy for Healthy Eating and Physical Activity (SE-HEPA) | Post-intervention healthy eating | 28.07 score on a scale | Standard Deviation 7.89 |
| Virtual Reality | Change in Self-Efficacy for Healthy Eating and Physical Activity (SE-HEPA) | Pre-intervention Physical Activity | 23.64 score on a scale | Standard Deviation 8.05 |
| Virtual Reality | Change in Self-Efficacy for Healthy Eating and Physical Activity (SE-HEPA) | Pre-intervention healthy eating | 26.64 score on a scale | Standard Deviation 6.87 |
| Virtual Reality | Change in Self-Efficacy for Healthy Eating and Physical Activity (SE-HEPA) | Post-intervention Physical Activity | 26.93 score on a scale | Standard Deviation 7.73 |
Change in Child Diet
Parents reported on their child's eating behavior of the previous week with three different items asking parents to report the number of servings per week the child ate of fruits, vegetables, and fast foods.
Time frame: Immediately pre intervention/control and at 2 week follow-up
Population: Data were reported by the caregivers, who reported for on the child's behavior. Only one score is reported for each child-caregiver dyad.
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Video | Change in Child Diet | Pre-intervention Weekly intake of fruits | 3.23 servings per week | Standard Deviation 1.42 |
| Video | Change in Child Diet | Pre-intervention Weekly intake of vegetables | 2.85 servings per week | Standard Deviation 0.9 |
| Video | Change in Child Diet | Pre-intervention Weekly intake of fast foods | 2 servings per week | Standard Deviation 0.58 |
| Video | Change in Child Diet | Two-week Post-intervention Weekly intake of fruits | 2.77 servings per week | Standard Deviation 1.3 |
| Video | Change in Child Diet | Two-week Post-intervention Weekly intake of vegetables | 2.92 servings per week | Standard Deviation 1.12 |
| Video | Change in Child Diet | Two-week Post-intervention Weekly intake of fast food | 1.85 servings per week | Standard Deviation 0.56 |
| Virtual Reality | Change in Child Diet | Two-week Post-intervention Weekly intake of vegetables | 3.57 servings per week | Standard Deviation 0.94 |
| Virtual Reality | Change in Child Diet | Pre-intervention Weekly intake of fruits | 3.50 servings per week | Standard Deviation 1.09 |
| Virtual Reality | Change in Child Diet | Two-week Post-intervention Weekly intake of fruits | 3.29 servings per week | Standard Deviation 1.07 |
| Virtual Reality | Change in Child Diet | Pre-intervention Weekly intake of vegetables | 3.5 servings per week | Standard Deviation 0.86 |
| Virtual Reality | Change in Child Diet | Two-week Post-intervention Weekly intake of fast food | 1.79 servings per week | Standard Deviation 0.7 |
| Virtual Reality | Change in Child Diet | Pre-intervention Weekly intake of fast foods | 2.14 servings per week | Standard Deviation 1.1 |
Change in Child Eating Behavior
Parents reported on their child's eating behavior of the previous week with two different items asking parents to report the number of days per week the child ate breakfast and family dinner.
Time frame: Immediately pre intervention/control and at 2 week follow-up
Population: Data were reported by the caregivers, who reported for on the child's behavior. Only one score is reported for each child-caregiver dyad.
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Video | Change in Child Eating Behavior | Pre-intervention family dinner | 4.54 days per week | Standard Deviation 2.11 |
| Video | Change in Child Eating Behavior | Pre-intervention intake of breakfast | 5.54 days per week | Standard Deviation 1.61 |
| Video | Change in Child Eating Behavior | Two-week Post-intervention Weekly intake of breakfast | 5.77 days per week | Standard Deviation 1.64 |
| Video | Change in Child Eating Behavior | Two-week Post-intervention Weekly intake of family dinner | 4.85 days per week | Standard Deviation 1.72 |
| Virtual Reality | Change in Child Eating Behavior | Two-week Post-intervention Weekly intake of family dinner | 4.5 days per week | Standard Deviation 2.03 |
| Virtual Reality | Change in Child Eating Behavior | Pre-intervention family dinner | 4.93 days per week | Standard Deviation 2.5 |
| Virtual Reality | Change in Child Eating Behavior | Two-week Post-intervention Weekly intake of breakfast | 5.93 days per week | Standard Deviation 0.92 |
| Virtual Reality | Change in Child Eating Behavior | Pre-intervention intake of breakfast | 5.86 days per week | Standard Deviation 1.66 |
Change in Screen Time and Activity Behavior
Parents reported on their child's activity behavior of the previous week with two different items asking parents to report the average number of hours per day the child engaged in screen time and physical activity, on a scale from 1 to 5, with 1 = none; 2 = less than 1 hour per day; 3 = 1 to 2 hours per day; 4 = 3 to 4 hours per day; 5 = more than 4 hours per day.
Time frame: Immediately pre intervention/control and at 2 week follow-up
Population: Data were reported by the caregivers, who reported for on the child's behavior. Only one score is reported for each child-caregiver dyad.
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Video | Change in Screen Time and Activity Behavior | Pre-intervention screen time | 4.31 units on a scale | Standard Deviation 0.88 |
| Video | Change in Screen Time and Activity Behavior | Pre-intervention active hours | 2.35 units on a scale | Standard Deviation 0.72 |
| Video | Change in Screen Time and Activity Behavior | Two-week Post-intervention screen time | 3.35 units on a scale | Standard Deviation 1.05 |
| Video | Change in Screen Time and Activity Behavior | Two-week Post-intervention active hours | 2.54 units on a scale | Standard Deviation 0.8 |
| Virtual Reality | Change in Screen Time and Activity Behavior | Two-week Post-intervention active hours | 2.96 units on a scale | Standard Deviation 0.46 |
| Virtual Reality | Change in Screen Time and Activity Behavior | Pre-intervention screen time | 4.11 units on a scale | Standard Deviation 1.02 |
| Virtual Reality | Change in Screen Time and Activity Behavior | Two-week Post-intervention screen time | 3.61 units on a scale | Standard Deviation 1.2 |
| Virtual Reality | Change in Screen Time and Activity Behavior | Pre-intervention active hours | 2.89 units on a scale | Standard Deviation 0.66 |