CClinicalTrials.gg
CompletedNCT06193967Updated Dec 3, 2025Results posted

Enhancing Child Dietary Self-monitoring

An interventional study of Caregiver Praise and Gamification in Nutrition, Healthy, sponsored by The University of Tennessee, Knoxville. Completed at 1 site in United States. Open to participants aged 8 Years to 100 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-12-03.

Sponsored by The University of Tennessee, Knoxville · Not applicable, Interventional, and Other

Phase
Not applicable
Study type
Interventional
Enrollment
19
Allocation
Randomized
Ages
8 Years to 100 Years
Sex
All
01

Study summary

The goal of this clinical trial was to test the preliminary efficacy of a digital dietary self-monitoring (dDSM) log that uses positive reinforcement strategies (caregiver praise and gamification) to improve child engagement in DSM. The main aims were to:

  • Conduct a proof-of-concept trial that examines the effects of positive reinforcement on child DSM behaviors.
  • Explore differences in children's intrinsic motivation.

Participating children will be instructed to self-monitor their daily intake of targeted food groups (fruits, vegetables, sweet and salty snack foods, and sugar-sweetened beverages) for 4 weeks using a personal web-based DSM log. Each child-caregiver dyad will be randomly assigned to 1 of 4 conditions: BASIC, PRAISE, GAME, or PRAISE+GAME. For PRAISE and PRAISE+GAME conditions, caregivers will be instructed to provide daily process praise to their child related to DSM behaviors. For GAME and PRAISE+GAME conditions, logs will integrate three game mechanics: points, levels, and a virtual pet. Points will be accumulated for engaging in DSM behaviors, and accrual of points will evolve a virtual pet over time.

Read the detailed description

The objective of the proposed study was to test the usability, acceptability, and preliminary efficacy of a digital dietary self-monitoring (dDSM) log that used positive reinforcement strategies (caregiver praise and gamification) to improve child engagement in DSM.

For this proof of concept trial, a mobile-optimized, web-based dDSM log was developed to test the two positive reinforcement strategies: caregiver praise and gamification. The dDSM log was developed as a mobile-optimized website, rather than an app, so that phone operating systems were not a limitation of use. Families were therefore able to access the dDSM log from a computer, smartphone, or other internet-enabled device. All dDSM logs included three basic features: 1) the ability to log targeted food groups with amounts and servings consumed, 2) the ability to indicate logging was complete for the day, and 3) access to a help feature that provided guidance on tracking and serving sizes. Children were instructed to self-monitor their daily intake of the following food groups: fruits, vegetables, sweet and salty snack foods, and sugar-sweetened beverages (SSBs). DSM focused on these four food groups because they had an established influence on health. Fruit and vegetable consumption was associated with a decreased risk of chronic disease, and reduced consumption of energy-dense foods like sweet and salty snacks and SSBs was recommended for weight loss in children. Additionally, these food groups were frequently targeted in childhood obesity treatment and were easily understood by young children.

Using a 2x2 factorial design, each child-caregiver dyad was randomly assigned to 1 of 4 conditions: BASIC, PRAISE, GAME, or PRAISE+GAME. Each child was provided a unique URL to access a personal dDSM log with the appropriate, randomly assigned features (praise and/or gamification). For PRAISE and PRAISE+GAME conditions, caregivers were instructed to provide daily process praise to their child related to DSM behaviors. While DSM was frequently implemented within treatment, children in the proposed study engaged in DSM without a concurrent intervention to tightly control the influence of the independent variables on DSM behaviors only (as compared to having all adult caregivers learn how to praise or having caregivers focus their praise on achieving dietary goals, which were both standard components of family-based childhood obesity interventions). Thus, only caregivers randomized to PRAISE or PRAISE+GAME were instructed on praise and, in the absence of dietary goals for intervention, caregivers had only one behavior (DSM) to praise. For GAME and PRAISE+GAME conditions, logs integrated three game mechanics: points, levels, and a virtual pet. Points were accumulated for engaging in DSM behaviors, and the accrual of points evolved a virtual pet over time, acting as a digital token economy. The number of points to level up increased with each level, so that each consecutive level was harder to attain than the previous one. At the end of the 4-week DSM period, families who completed follow-up assessments received two $25 gift cards (one for the caregiver, one for the child) and were provided access to a short online behavioral nutrition education program.

The primary DSM outcomes were frequency (i.e., the number of days any food/beverage item was tracked or logging was marked complete) and timing (i.e., how many sessions of recording were completed each day and whether foods/beverages were logged on the day of intake). On days in which no targeted food group was consumed, children had the ability to mark logging as complete for the day (Figure 1a). Indicating logging was complete in the absence of any tracked foods was considered a "tracked" day. Pre-post changes in intrinsic motivation were also examined.

02

Conditions studied

  • Nutrition, Healthy
03

In context

Lead sponsor

The University of Tennessee, Knoxville is the lead sponsor of 95 studies on the registry; 6 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
8 Years to 100 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Families with children ages 8-12 years with body mass index (BMI)-for-age ≥ 5th percentile who report eating foods/beverages (any serving size) from ≥2 targeted food groups (fruits, vegetables, sweet and salty snack foods, and SSBs) on ≥3 days/week each and who have an adult caregiver ≥18 years of age willing to participate
  • Family has reliable access to the internet via phone, computer, or another device that the child is able and permitted to operate

Exclusion criteria

Exclusion Criteria:

  • Child has major psychiatric diseases or organic brain syndromes
  • Family does not live in the greater Knoxville area
  • Family does not speak English
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Factorial assignment
Masking
None (open label)
Enrollment
19 participants (actual)

Study arms

  • No intervention
    BASIC

    Children will be asked to track their intake of fruits, vegetables, sweet and salty snack foods, and sugary drinks in the web-based dietary self-monitoring (DSM) log for 4 weeks. Each child will be provided with a personal URL to access their log, which can be accessed from any internet-capable device (computer, phone, etc.). Caregivers will be asked to review their child's log each day and complete a caregiver check-in in the DSM log.

  • Experimental
    PRAISE

    In addition to conditions of the BASIC group, caregivers will also be asked to provide praise to their child for engaging in DSM over the 4 weeks. Additionally, when the caregiver completes caregiver check-ins in the DSM log, they will receive a prompt to also complete a praise check-in.

    Behavioral: Caregiver Praise

  • Experimental
    GAME

    In addition to the conditions of the BASIC group, the child's log will also include a virtual pet that evolves over time as he/she uses the log. As the child earns points, the pet will level up and grow over time.

    Behavioral: Gamification

  • Experimental
    PRAISE+GAME

    In addition to conditions of the BASIC group, caregivers will also be asked to provide praise to their child for engaging in DSM over the 4 weeks. Additionally, when the caregiver completes caregiver check-ins in the DSM log, they will receive a prompt to also complete a praise check-in. The child's log will also include a virtual pet that evolves over time as he/she uses the log. As the child earns points, the pet will level up and grow over time.

    Behavioral: Caregiver Praise · Behavioral: Gamification

Interventions

  • BehavioralCaregiver Praise

    Caregivers will provide praise for child's engagement in dietary self-monitoring behaviors as a form of positive reinforcement

  • BehavioralGamification

    DSM logs will include gamification (points, levels, virtual pets) as positive reinforcement for child's engagement in dietary self-monitoring behaviors

06

What researchers measure

Primary outcomes

  1. Dietary Self-monitoring Frequency, Overall

    I.e., number of days with any logging. DSM frequency has been shown to predict success in family-based based childhood overweight and obesity programs. A day will be counted as "tracked" if any food or beverage is logged on that day or, if no food or beverage is logged, the "Logging Complete" button is clicked.

    Time frame: 4 weeks

  2. Dietary Self-monitoring Frequency, Weekly

    I.e., number of days with any logging per week

    Time frame: 4 weeks

  3. Proportion of Items Tracked on Day of Intake, Overall

    Proportion of food/beverage items that were tracked on the day of intake across the 4-week DSM period

    Time frame: 4 weeks

  4. Proportion of Items Tracked on Day of Intake, Weekly

    Proportion of food/beverage items that were tracked on the day of intake by week

    Time frame: 4 weeks

  5. Number of Logging Sessions, Overall

    The average number of logging sessions per day. Sessions were considered distinct tracking events if they occurred \>15 minutes apart.

    Time frame: 4 weeks

  6. Number of Logging Sessions, Weekly

    The average number of logging sessions per day. Sessions were considered distinct tracking events if they occurred \>15 minutes apart.

    Time frame: 4 weeks

Secondary outcomes

  1. Child Intrinsic Motivation

    Gamification and caregiver praise may differentially affect child motivation to engage in DSM. The Task Evaluation Questionnaire of the Intrinsic Motivation Inventory (IMI) was used to determine whether there were differences in pre-post changes in child intrinsic motivation. This questionnaire consists of 22 items and utilizes a 5-point Likert scale (not at all true to very true) to assess interest/enjoyment, perceived choice, perceived competence, and pressure/tension. At baseline, the measure was administered after the child has practiced using the log with the research assistant so that he or she had some familiarity with the behavior before completing the measure. Scales range from 1 to 7, with a higher score indicating a greater degree of the respective motivation subdomain.

    Time frame: 4 weeks

  2. Child Motivation to Change Eating Behaviors

    Child's motivation to change eating habits will be measured, as this may influence engagement in DSM. Children will be asked to complete the 8-item diet subscale of the Motivation to Exercise and Diet Questionnaire-Adapted for Children (MED-C), which is based on self-determination theory. The MED-C diet subscale utilizes a 5-point Likert scale (never to always) and includes 5 items related to motivation and 3 items related to self-determination theory needs (autonomy, competence, relatedness). This validity of the questionnaire has been tested in children aged 7 to 11 years. Scale ranges from 0 to 32, with a higher score indicating greater motivation to change eating habits.

    Time frame: 4 weeks

  3. Child Dietary Intake, Fruit

    The act of self-monitoring a behavior may result in reactivity, or improvements in the monitored behavior in the absence of other intervention. Thus, child dietary intake will also be assessed at baseline and follow-up using the Block Food Screener for Ages 2-17 2007. The instrument asks about intake in the "last week" and focuses on take of fruit, fruit juices, vegetables, potatoes (including French fries), whole grains, animal-based proteins, dairy, legumes, saturated fat, added sugars (in sweetened cereals, sugar sweetened beverages), glycemic load and glycemic index. It takes approximately 10-12 minutes to complete.

    Time frame: 4 weeks

  4. Child Dietary Intake, Vegetables Excluding Potatoes

    The act of self-monitoring a behavior may result in reactivity, or improvements in the monitored behavior in the absence of other intervention. Thus, child dietary intake will also be assessed at baseline and follow-up using the Block Food Screener for Ages 2-17 2007. The instrument asks about intake in the "last week" and focuses on take of fruit, fruit juices, vegetables, potatoes (including French fries), whole grains, animal-based proteins, dairy, legumes, saturated fat, added sugars (in sweetened cereals, sugar sweetened beverages), glycemic load and glycemic index. It takes approximately 10-12 minutes to complete.

    Time frame: 4 weeks

  5. Child Dietary Intake, Potatoes

    The act of self-monitoring a behavior may result in reactivity, or improvements in the monitored behavior in the absence of other intervention. Thus, child dietary intake will also be assessed at baseline and follow-up using the Block Food Screener for Ages 2-17 2007. The instrument asks about intake in the "last week" and focuses on take of fruit, fruit juices, vegetables, potatoes (including French fries), whole grains, animal-based proteins, dairy, legumes, saturated fat, added sugars (in sweetened cereals, sugar sweetened beverages), glycemic load and glycemic index. It takes approximately 10-12 minutes to complete.

    Time frame: 4 weeks

  6. Child Dietary Intake, Sweet & Salty Snack Foods

    The act of self-monitoring a behavior may result in reactivity, or improvements in the monitored behavior in the absence of other intervention. Thus, child dietary intake will also be assessed at baseline and follow-up using the Block Food Screener for Ages 2-17 2007. The instrument asks about intake in the "last week" and focuses on take of fruit, fruit juices, vegetables, potatoes (including French fries), whole grains, animal-based proteins, dairy, legumes, saturated fat, added sugars (in sweetened cereals, sugar sweetened beverages), glycemic load and glycemic index. It takes approximately 10-12 minutes to complete.

    Time frame: 4 weeks

  7. Child Dietary Intake, Sugar-sweetened Beverages

    The act of self-monitoring a behavior may result in reactivity, or improvements in the monitored behavior in the absence of other intervention. Thus, child dietary intake will also be assessed at baseline and follow-up using the Block Food Screener for Ages 2-17 2007. The instrument asks about intake in the "last week" and focuses on take of fruit, fruit juices, vegetables, potatoes (including French fries), whole grains, animal-based proteins, dairy, legumes, saturated fat, added sugars (in sweetened cereals, sugar sweetened beverages), glycemic load and glycemic index. It takes approximately 10-12 minutes to complete.

    Time frame: 4 weeks

07

Results

Posted Dec 3, 2025

Participant flow

Participant flow — Overall Study
MilestoneBASICPRAISEGAMEPRAISE+GAME
Started5554
Children5554
Caregivers5554
Completed5554
Not completed0000

Outcome measures

PrimaryDietary Self-monitoring Frequency, Overall

I.e., number of days with any logging. DSM frequency has been shown to predict success in family-based based childhood overweight and obesity programs. A day will be counted as "tracked" if any food or beverage is logged on that day or, if no food or beverage is logged, the "Logging Complete" button is clicked.

Time frame:
4 weeks
Reported as:
Mean · days
Dietary Self-monitoring Frequency, Overall
daysNo Caregiver PraiseCaregiver PraiseNo GamificationGamification
Dietary Self-monitoring Frequency, Overall23.0 ± 1.424.3 ± 1.422.0 ± 1.325.3 ± 1.4
Statistical analysis
  • No Caregiver Praise vs Caregiver Praise · ANOVA · p = >0.05
  • No Gamification vs Gamification · ANOVA · p = >0.05
PrimaryDietary Self-monitoring Frequency, Weekly

I.e., number of days with any logging per week

Time frame:
4 weeks
Reported as:
Mean · days
Dietary Self-monitoring Frequency, Weekly
daysNo Caregiver PraiseCaregiver PraiseNo GamificationGamification
Week 16.8 ± 0.16.8 ± 0.16.7 ± 0.16.9 ± 0.1
Week 26.0 ± 0.46.5 ± 0.45.9 ± 0.46.6 ± 0.4
Week 35.4 ± 0.56.5 ± 0.55.4 ± 0.56.5 ± 0.5
Week 44.8 ± 0.74.6 ± 0.84.0 ± 0.75.4 ± 0.8
Statistical analysis
  • No Caregiver Praise vs Caregiver Praise vs No Gamification vs Gamification · ANOVA · p = <0.001
PrimaryProportion of Items Tracked on Day of Intake, Overall

Proportion of food/beverage items that were tracked on the day of intake across the 4-week DSM period

Time frame:
4 weeks
Reported as:
Mean · proportion of items tracked
Proportion of Items Tracked on Day of Intake, Overall
proportion of items trackedNo Caregiver PraiseCaregiver PraiseNo GamificationGamification
Proportion of Items Tracked on Day of Intake, Overall0.73 ± 0.050.69 ± 0.060.70 ± 0.050.73 ± 0.06
Statistical analysis
  • No Caregiver Praise vs Caregiver Praise · ANOVA · p = >0.05
  • No Gamification vs Gamification · ANOVA · p = >0.05
PrimaryProportion of Items Tracked on Day of Intake, Weekly

Proportion of food/beverage items that were tracked on the day of intake by week

Time frame:
4 weeks
Reported as:
Mean · proportion of items tracked
Proportion of Items Tracked on Day of Intake, Weekly
proportion of items trackedNo Caregiver PraiseCaregiver PraiseNo GamificationGamification
Week 10.84 ± 0.060.82 ± 0.070.82 ± 0.060.84 ± 0.07
Week 20.71 ± 0.090.68 ± 0.090.68 ± 0.090.71 ± 0.09
Week 30.69 ± 0.090.61 ± 0.090.64 ± 0.090.66 ± 0.09
Week 40.67 ± 0.120.52 ± 0.130.59 ± 0.120.59 ± 0.13
Statistical analysis
  • No Caregiver Praise vs Caregiver Praise vs No Gamification vs Gamification · ANOVA · p = 0.01
PrimaryNumber of Logging Sessions, Overall

The average number of logging sessions per day. Sessions were considered distinct tracking events if they occurred \>15 minutes apart.

Time frame:
4 weeks
Reported as:
Mean · logging sessions/day
Number of Logging Sessions, Overall
logging sessions/dayNo Caregiver PraiseCaregiver PraiseNo GamificationGamification
Number of Logging Sessions, Overall24.6 ± 2.821.5 ± 2.922.4 ± 2.823.7 ± 2.9
Statistical analysis
  • No Caregiver Praise vs Caregiver Praise · ANOVA · p = >0.05
  • No Gamification vs Gamification · ANOVA · p = >0.05
PrimaryNumber of Logging Sessions, Weekly

The average number of logging sessions per day. Sessions were considered distinct tracking events if they occurred \>15 minutes apart.

Time frame:
4 weeks
Reported as:
Mean · logging sessions/day
Number of Logging Sessions, Weekly
logging sessions/dayNo Caregiver PraiseCaregiver PraiseNo GamificationGamification
Week 17.0 ± 0.67.2 ± 0.77.1 ± 0.67.1 ± 0.7
Week 28.1 ± 1.25.2 ± 1.37.2 ± 1.26.1 ± 1.3
Week 35.0 ± 0.85.6 ± 0.95.0 ± 0.85.6 ± 0.9
Week 44.5 ± 0.73.3 ± 0.73.1 ± 0.74.7 ± 0.7
Statistical analysis
  • No Caregiver Praise vs Caregiver Praise vs No Gamification vs Gamification · ANOVA · p = <0.0001
SecondaryChild Intrinsic Motivation

Gamification and caregiver praise may differentially affect child motivation to engage in DSM. The Task Evaluation Questionnaire of the Intrinsic Motivation Inventory (IMI) was used to determine whether there were differences in pre-post changes in child intrinsic motivation. This questionnaire consists of 22 items and utilizes a 5-point Likert scale (not at all true to very true) to assess interest/enjoyment, perceived choice, perceived competence, and pressure/tension. At baseline, the measure was administered after the child has practiced using the log with the research assistant so that he or she had some familiarity with the behavior before completing the measure. Scales range from 1 to 7, with a higher score indicating a greater degree of the respective motivation subdomain.

Time frame:
4 weeks
Reported as:
Mean · Units on a scale
Child Intrinsic Motivation
Units on a scaleNo Caregiver PraiseCaregiver PraiseNo GamificationGamification
Interest/enjoyment4.7 ± 0.63.9 ± 0.63.3 ± 0.65.2 ± 0.6
Perceived competence5.4 ± 0.44.7 ± 0.54.4 ± 0.45.6 ± 0.4
Perceived choice4.8 ± 0.45.5 ± 0.45.4 ± 0.44.8 ± 0.4
Pressure/tension1.8 ± 0.33.5 ± 0.31.9 ± 0.32.4 ± 0.3
Statistical analysis
  • No Caregiver Praise vs Caregiver Praise · ANCOVA · p = >0.05
  • No Gamification vs Gamification · ANCOVA · p = >0.05
SecondaryChild Motivation to Change Eating Behaviors

Child's motivation to change eating habits will be measured, as this may influence engagement in DSM. Children will be asked to complete the 8-item diet subscale of the Motivation to Exercise and Diet Questionnaire-Adapted for Children (MED-C), which is based on self-determination theory. The MED-C diet subscale utilizes a 5-point Likert scale (never to always) and includes 5 items related to motivation and 3 items related to self-determination theory needs (autonomy, competence, relatedness). This validity of the questionnaire has been tested in children aged 7 to 11 years. Scale ranges from 0 to 32, with a higher score indicating greater motivation to change eating habits.

Time frame:
4 weeks
Reported as:
Mean · Units on a scale
Child Motivation to Change Eating Behaviors
Units on a scaleNo Caregiver PraiseCaregiver PraiseNo GamificationGamification
Child Motivation to Change Eating Behaviors30.9 ± 0.730.4 ± 0.830.1 ± 0.731.2 ± 0.8
Statistical analysis
  • No Caregiver Praise vs Caregiver Praise · ANCOVA · p = >0.05
  • No Gamification vs Gamification · ANCOVA · p = >0.05
SecondaryChild Dietary Intake, Fruit

The act of self-monitoring a behavior may result in reactivity, or improvements in the monitored behavior in the absence of other intervention. Thus, child dietary intake will also be assessed at baseline and follow-up using the Block Food Screener for Ages 2-17 2007. The instrument asks about intake in the "last week" and focuses on take of fruit, fruit juices, vegetables, potatoes (including French fries), whole grains, animal-based proteins, dairy, legumes, saturated fat, added sugars (in sweetened cereals, sugar sweetened beverages), glycemic load and glycemic index. It takes approximately 10-12 minutes to complete.

Time frame:
4 weeks
Reported as:
Mean · cup equivalents
Child Dietary Intake, Fruit
cup equivalentsNo Caregiver PraiseCaregiver PraiseNo GamificationGamification
Child Dietary Intake, Fruit1.2 ± 0.20.9 ± 0.20.9 ± 0.21.2 ± 0.2
Statistical analysis
  • No Caregiver Praise vs Caregiver Praise · ANCOVA · p = >0.05
  • No Gamification vs Gamification · ANCOVA · p = >0.05
SecondaryChild Dietary Intake, Vegetables Excluding Potatoes

The act of self-monitoring a behavior may result in reactivity, or improvements in the monitored behavior in the absence of other intervention. Thus, child dietary intake will also be assessed at baseline and follow-up using the Block Food Screener for Ages 2-17 2007. The instrument asks about intake in the "last week" and focuses on take of fruit, fruit juices, vegetables, potatoes (including French fries), whole grains, animal-based proteins, dairy, legumes, saturated fat, added sugars (in sweetened cereals, sugar sweetened beverages), glycemic load and glycemic index. It takes approximately 10-12 minutes to complete.

Time frame:
4 weeks
Reported as:
Mean · cup equivalents
Child Dietary Intake, Vegetables Excluding Potatoes
cup equivalentsNo Caregiver PraiseCaregiver PraiseNo GamificationGamification
Child Dietary Intake, Vegetables Excluding Potatoes.6 ± .1.6 ± .1.4 ± .1.8 ± .1
Statistical analysis
  • No Caregiver Praise vs Caregiver Praise · ANCOVA · p = >0.05
  • No Gamification vs Gamification · ANCOVA · p = 0.03
SecondaryChild Dietary Intake, Potatoes

The act of self-monitoring a behavior may result in reactivity, or improvements in the monitored behavior in the absence of other intervention. Thus, child dietary intake will also be assessed at baseline and follow-up using the Block Food Screener for Ages 2-17 2007. The instrument asks about intake in the "last week" and focuses on take of fruit, fruit juices, vegetables, potatoes (including French fries), whole grains, animal-based proteins, dairy, legumes, saturated fat, added sugars (in sweetened cereals, sugar sweetened beverages), glycemic load and glycemic index. It takes approximately 10-12 minutes to complete.

Time frame:
4 weeks
Reported as:
Mean · cup equivalents
Child Dietary Intake, Potatoes
cup equivalentsNo Caregiver PraiseCaregiver PraiseNo GamificationGamification
Child Dietary Intake, Potatoes.2 ± .04.2 ± .04.1 ± .03.3 ± .04
Statistical analysis
  • No Caregiver Praise vs Caregiver Praise · ANCOVA · p = >0.05
  • No Gamification vs Gamification · ANCOVA · p = 0.02
SecondaryChild Dietary Intake, Sweet & Salty Snack Foods

The act of self-monitoring a behavior may result in reactivity, or improvements in the monitored behavior in the absence of other intervention. Thus, child dietary intake will also be assessed at baseline and follow-up using the Block Food Screener for Ages 2-17 2007. The instrument asks about intake in the "last week" and focuses on take of fruit, fruit juices, vegetables, potatoes (including French fries), whole grains, animal-based proteins, dairy, legumes, saturated fat, added sugars (in sweetened cereals, sugar sweetened beverages), glycemic load and glycemic index. It takes approximately 10-12 minutes to complete.

Time frame:
4 weeks
Reported as:
Mean · g
Child Dietary Intake, Sweet & Salty Snack Foods
gNo Caregiver PraiseCaregiver PraiseNo GamificationGamification
Child Dietary Intake, Sweet & Salty Snack Foods36.5 ± 7.946.5 ± 8.438.3 ± 8.044.7 ± 8.5
Statistical analysis
  • No Caregiver Praise vs Caregiver Praise · ANCOVA · p = >0.05
  • No Gamification vs Gamification · ANCOVA · p = >0.05
SecondaryChild Dietary Intake, Sugar-sweetened Beverages

The act of self-monitoring a behavior may result in reactivity, or improvements in the monitored behavior in the absence of other intervention. Thus, child dietary intake will also be assessed at baseline and follow-up using the Block Food Screener for Ages 2-17 2007. The instrument asks about intake in the "last week" and focuses on take of fruit, fruit juices, vegetables, potatoes (including French fries), whole grains, animal-based proteins, dairy, legumes, saturated fat, added sugars (in sweetened cereals, sugar sweetened beverages), glycemic load and glycemic index. It takes approximately 10-12 minutes to complete.

Time frame:
4 weeks
Reported as:
Mean · kilocalories
Child Dietary Intake, Sugar-sweetened Beverages
kilocaloriesNo Caregiver PraiseCaregiver PraiseNo GamificationGamification
Child Dietary Intake, Sugar-sweetened Beverages28.1 ± 7.826.0 ± 8.233.2 ± 7.720.9 ± 8.2
Statistical analysis
  • No Caregiver Praise vs Caregiver Praise · ANCOVA · p = >0.05
  • No Gamification vs Gamification · ANCOVA · p = >0.05

Adverse events

Collected over 4 weeks. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Children: BASIC0/5 (0%)0/5 (0%)0/5 (0%)
Children: PRAISE0/5 (0%)0/5 (0%)0/5 (0%)
Children: GAME0/5 (0%)0/5 (0%)0/5 (0%)
Children: PRAISE+GAME0/4 (0%)0/4 (0%)0/4 (0%)
Parent: BASIC0/5 (0%)0/5 (0%)0/5 (0%)
Parent: PRAISE0/5 (0%)0/5 (0%)0/5 (0%)
Parent: GAME0/5 (0%)0/5 (0%)0/5 (0%)
Parent: PRAISE+GAME0/4 (0%)0/4 (0%)0/4 (0%)

Baseline characteristics

Numbers include both child and caregiver participants

Age, Continuous
Age, Continuous(years)BASICPRAISEGAMEPRAISE+GAMETotal
Mean7.7 ± 4.09.2 ± 1.110.8 ± 1.39.3 ± 1.39.1 ± 2.6
Age, Continuous
Age, Continuous(years)BASICPRAISEGAMEPRAISE+GAMETotal
Mean43.0 ± 2.643.0 ± 7.144.0 ± 3.641.0 ± 6.742.8 ± 4.9
Sex: Female, Male
Sex: Female, Male(Participants)BASICPRAISEGAMEPRAISE+GAMETotal
Female423211
Male13228
Sex: Female, Male
Sex: Female, Male(Participants)BASICPRAISEGAMEPRAISE+GAMETotal
Female335415
Male22004
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)BASICPRAISEGAMEPRAISE+GAMETotal
Hispanic or Latino10001
Not Hispanic or Latino455418
Unknown or Not Reported00000
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)BASICPRAISEGAMEPRAISE+GAMETotal
Hispanic or Latino00000
Not Hispanic or Latino555419
Unknown or Not Reported00000
Race (NIH/OMB)
Race (NIH/OMB)(Participants)BASICPRAISEGAMEPRAISE+GAMETotal
American Indian or Alaska Native00000
Asian01001
Native Hawaiian or Other Pacific Islander00000
Black or African American00011
White435214
More than one race11013
Unknown or Not Reported00000
Race (NIH/OMB)
Race (NIH/OMB)(Participants)BASICPRAISEGAMEPRAISE+GAMETotal
American Indian or Alaska Native00000
Asian01001
Native Hawaiian or Other Pacific Islander00000
Black or African American00011
White535215
More than one race01012
Unknown or Not Reported00000

5 further baseline measures are reported on the registry.

08

Study locations

1 site
  • University of Tennessee
    Knoxville, Tennessee 37996, United States
09

References and documents

Publications

  • Germann JN, Kirschenbaum DS, Rich BH. Child and parental self-monitoring as determinants of success in the treatment of morbid obesity in low-income minority children. J Pediatr Psychol. 2007 Jan-Feb;32(1):111-21. doi: 10.1093/jpepsy/jsl007. Epub 2006 Jun 14. PubMed 16775083 ↗
  • Mockus DS, Macera CA, Wingard DL, Peddecord M, Thomas RG, Wilfley DE. Dietary self-monitoring and its impact on weight loss in overweight children. Int J Pediatr Obes. 2011 Aug;6(3-4):197-205. doi: 10.3109/17477166.2011.590196. Epub 2011 Jul 4. PubMed 21722068 ↗
  • Saelens BE, McGrath AM. Self-monitoring adherence and adolescent weight control efficacy. Children's Health Care. 2003;32(2):137-152.
  • Dalle Grave R, Centis E, Marzocchi R, El Ghoch M, Marchesini G. Major factors for facilitating change in behavioral strategies to reduce obesity. Psychol Res Behav Manag. 2013 Oct 3;6:101-10. doi: 10.2147/PRBM.S40460. PubMed 24124398 ↗
  • Guideline Development Panel for Treatment of Obesity, American Psychological Association. Summary of the clinical practice guideline for multicomponent behavioral treatment of obesity and overweight in children and adolescents. Am Psychol. 2020 Feb-Mar;75(2):178-188. doi: 10.1037/amp0000530. PubMed 32052993 ↗
  • Favell JE. The power of positive reinforcement: a handbook of behavior modification. Charles C Thomas; 1977.
  • Griffiths LA, Douglas SM, Raynor HA. The role of structure in dietary approaches for the treatment of pediatric overweight and obesity: A critical review. Obes Rev. 2021 Sep;22(9):e13266. doi: 10.1111/obr.13266. Epub 2021 May 5. PubMed 33955110 ↗
  • Henggeler SW, Sheidow AJ. Empirically supported family-based treatments for conduct disorder and delinquency in adolescents. J Marital Fam Ther. 2012 Jan;38(1):30-58. doi: 10.1111/j.1752-0606.2011.00244.x. Epub 2011 Sep 20. PubMed 22283380 ↗
  • Freeman JB, Garcia AM. Family based treatment for young children with OCD: therapist guide. Oxford University Press; 2008.
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  • Kumar VS, Wentzell KJ, Mikkelsen T, Pentland A, Laffel LM. The DAILY (Daily Automated Intensive Log for Youth) trial: a wireless, portable system to improve adherence and glycemic control in youth with diabetes. Diabetes Technol Ther. 2004 Aug;6(4):445-53. doi: 10.1089/1520915041705893. PubMed 15320998 ↗
  • Cafazzo JA, Casselman M, Hamming N, Katzman DK, Palmert MR. Design of an mHealth app for the self-management of adolescent type 1 diabetes: a pilot study. J Med Internet Res. 2012 May 8;14(3):e70. doi: 10.2196/jmir.2058. PubMed 22564332 ↗
  • Klingensmith GJ, Aisenberg J, Kaufman F, Halvorson M, Cruz E, Riordan ME, Varma C, Pardo S, Viggiani MT, Wallace JF, Schachner HC, Bailey T. Evaluation of a combined blood glucose monitoring and gaming system (Didget(R)) for motivation in children, adolescents, and young adults with type 1 diabetes. Pediatr Diabetes. 2013 Aug;14(5):350-7. doi: 10.1111/j.1399-5448.2011.00791.x. Epub 2011 Jun 23. PubMed 21699639 ↗
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Study documents

  • Protocol and statistical analysis plan · Nov 7, 2024
  • Informed consent form · Apr 17, 2024

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: No

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Dec 3, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06193967
Lead sponsor
The University of Tennessee, Knoxville
Responsible party
Hollie Raynor (Executive Associate Dean of Research & Operations, College of Education, Health, and Human Sciences, The University of Tennessee, Knoxville) — Principal investigator
First posted
Jan 5, 2024
Start date
Apr 4, 2024
Primary completion
Dec 4, 2024
Completion
Dec 4, 2024
Results posted
Dec 3, 2025
Last update
Dec 3, 2025

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Dec 2025. You cannot join it, but the record below documents what was studied.

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