Back to resultsA Trial to Increase Child Vegetable Intake Through Behavioral Strategies
Primary Purpose
Obesity, Childhood
Status
Completed
Phase
Not Applicable
Locations
Study Type
Interventional
Intervention
Parent-led behavioral strategies
Sponsored by
About this trial
This is an interventional prevention trial for Obesity, Childhood focused on measuring child vegetable intake, behavioral strategy, intervention
Eligibility Criteria
Inclusion Criteria:
- Participant child must be 9-12 years old
- Parent must be the main food preparer for the household
- The family must qualify for some form of public assistance
- Have a phone
- Must not have participated in a previous Cooking Matters for Families in the past 3 years
- Be able to read, speak, and understand English (or Spanish for Spanish-only courses).
Exclusion criteria:
*No exclusions other than those that do not meet inclusion criteria
Sites / Locations
Arms of the Study
Arm 1
Arm 2
Arm Type
Experimental
No Intervention
Arm Label
Intervention
Control
Arm Description
The intervention consisted of an enhanced Cooking Matters® for Families program that included behavioral strategies derived from behavioral economics, to be implemented by parents at home for increasing vegetable intake of low-income 9-12 year old children
The control arm consisted of the enhanced Cooking Matters® for Families program alone--without lessons about the behavioral strategies for the parents
Outcomes
Primary Outcome Measures
change in # of vegetable servings consumed by child measured by averaging vegetable serving data extracted from 3, 24-hr recalls.
Number of vegetable servings were assessed from 3, 24-hr dietary recalls, collected by trained study personnel in-person and over the phone from each child, using Nutrition Data System for Research (NDSR®)software). The 3, 24-hr recalls were averaged to come up with an aggregate # of vegetable servings.
change in # of vegetable servings consumed by child measured by averaging vegetable serving data extracted from 3, 24-hr recalls.
Number of vegetable servings were assessed from 3, 24-hr dietary recalls, collected by trained study personnel in-person and over the phone from each child, using Nutrition Data System for Research (NDSR®)software). The 3, 24-hr recalls were averaged to come up with an aggregate # of vegetable servings.
change in # of vegetable servings consumed by child measured by averaging vegetable serving data extracted from 3, 24-hr recalls.
Number of vegetable servings were assessed from 3, 24-hr dietary recalls, collected by trained study personnel in-person and over the phone from each child, using Nutrition Data System for Research (NDSR®)software). The 3, 24-hr recalls were averaged to come up with an aggregate # of vegetable servings.
Secondary Outcome Measures
change in liking of vegetables by child (liking rating scale was comprised of values across a 10-point labeled hedonic scale (1 -"Hate it" to 5 - "It's okay" to 10 - "Love it"))
Each child rated his/her liking of 37 different vegetables.The liking rating scale was comprised of values across a 10-point labeled hedonic scale (1 -"Hate it" to 5 - "It's okay" to 10 - "Love it"). This type of liking rating scale has been validated for testing with children. (Kroll, B.J. 1990. Evaluating rating scales for sensory testing with children. Food Technology, 44(11), 78-86.) An aggregate vegetable liking score representing mean liking rating across all vegetables was calculated for each child.
change in liking of vegetables by child ( liking rating scale was comprised of values across a 10-point labeled hedonic scale (1 -"Hate it" to 5 - "It's okay" to 10 - "Love it"))
Each child rated his/her liking of 37 different vegetables.The liking rating scale was comprised of values across a 10-point labeled hedonic scale (1 -"Hate it" to 5 - "It's okay" to 10 - "Love it"). This type of liking rating scale has been validated for testing with children. (Kroll, B.J. 1990. Evaluating rating scales for sensory testing with children. Food Technology, 44(11), 78-86.) An aggregate vegetable liking score representing mean liking rating across all vegetables was calculated for each child.
change in liking of vegetables by child ( liking rating scale was comprised of values across a 10-point labeled hedonic scale (1 -"Hate it" to 5 - "It's okay" to 10 - "Love it"))
Each child rated his/her liking of 37 different vegetables.The liking rating scale was comprised of values across a 10-point labeled hedonic scale (1 -"Hate it" to 5 - "It's okay" to 10 - "Love it"). This type of liking rating scale has been validated for testing with children. (Kroll, B.J. 1990. Evaluating rating scales for sensory testing with children. Food Technology, 44(11), 78-86.) An aggregate vegetable liking score representing mean liking rating across all vegetables was calculated for each child.
change in number different of vegetables tried by child
Each child was asked the question "Have you ever tried (name of vegetable)" with following response options: Yes/No/Don't know. An aggregate score per child was tabulated by summing all "yes" answers.
change in number different of vegetables tried by child
Each child was asked the question "Have you ever tried (name of vegetable)" with following response options: Yes/No/Don't know. An aggregate score per child was tabulated by summing all "yes" answers.
change in number different of vegetables tried by child
Each child was asked the question "Have you ever tried (name of vegetable)" with following response options: Yes/No/Don't know. An aggregate score per child was tabulated by summing all "yes" answers.
change in number of available vegetables in the child's home
Each of the child's parent was asked to complete a validated Home Food Inventory developed by Fulkerson and colleagues [Fulkerson JA, Nelson MC, Lytle L, Moe S, Heitzler C, Pasch KE. The validation of a home food inventory. Int J Behav Nutr Phys Act. 2008;5:55. doi:10.1186/1479-5868-5-55], to self-report the availability of different vegetables currently in their home. Response options for each question asking if the vegetable was currently in the home were "yes /no/ don't know" . Final number of available vegetables in the home was calculated by summing the number of vegetables for which the parent answered "yes."
change in number of available vegetables in the child's home
Each of the child's parent was asked to complete a validated Home Food Inventory developed by Fulkerson and colleagues [Fulkerson JA, Nelson MC, Lytle L, Moe S, Heitzler C, Pasch KE. The validation of a home food inventory. Int J Behav Nutr Phys Act. 2008;5:55. doi:10.1186/1479-5868-5-55], to self-report the availability of different vegetables currently in their home. Response options for each question asking if the vegetable was currently in the home were "yes /no/ don't know" .Final number of available vegetables in the home was calculated by summing the number of vegetables for which the parent answered "yes."
change in number of available vegetables in the child's home
Each of the child's parent was asked to complete a validated Home Food Inventory developed by Fulkerson and colleagues [Fulkerson JA, Nelson MC, Lytle L, Moe S, Heitzler C, Pasch KE. The validation of a home food inventory. Int J Behav Nutr Phys Act. 2008;5:55. doi:10.1186/1479-5868-5-55], to self-report the availability of different vegetables currently in their home. Response options for each question asking if the vegetable was currently in the home were "yes /no/ don't know" . Final number of available vegetables in the home was calculated by summing the number of vegetables for which the parent answered "yes."
change in child's body mass index (as measured by collected height (m) and weight (kg) from child)
Child Body Mass Index (BMI) was calculated from collected height and weight of child that were combined to report BMI in kg/m^2
change in child's body mass index (as measured by collected height (m) and weight (kg) from child)
Child Body Mass Index (BMI) was calculated from collected height and weight of child that were combined to report BMI in kg/m^2
change in child's body mass index (as measured by collected height (m) and weight (kg) from child)
Child Body Mass Index (BMI) was calculated from collected height and weight of child that were combined to report BMI in kg/m^2
change in child's Healthy Eating Index 2010 score (a measure of dietary quality)
Child dietary data was assessed through from 3, 24-hr dietary recalls, collected by trained study personnel in-person and over the phone using Nutrition Data System for Research (NDSR) software.The 3, 24-hr recalls were averaged to come up with an aggregate score for each nutrient. NDSR data was imported into a SAS® program (version 9.4) (SAS Institute Inc. Cary, NC 2014), created by National Institutes of Health-NCI, Division of Cancer Control & Population Studies that calculated a Healthy Eating Index 2010 score, a validated measure of dietary quality, for each child (Guenther PM, Casavale KO, Reedy J, Kirkpatrick SI, Hiza HAB, Kuczynski KJ, et al. Update of the Healthy Eating Index: HEI-2010. J Acad Nutr Diet. 2013;113:569-80..
change in child's Healthy Eating Index 2010 score (a measure of dietary quality)
Child dietary data was assessed through from 3, 24-hr dietary recalls, collected by trained study personnel in -person and over the phone using Nutrition Data System for Research (NDSR) software.The 3, 24-hr recalls were averaged to come up with an aggregate score for each nutrient. NDSR data was imported into a SAS® program (version 9.4) (SAS Institute Inc. Cary, NC 2014), created by National Institutes of Health-NCI, Division of Cancer Control & Population Studies that calculated a Healthy Eating Index 2010 score, a validated measure of dietary quality, for each child.
change in child's Healthy Eating Index 2010 score (a measure of dietary quality)
Child dietary data was assessed through from 3, 24-hr dietary recalls, collected by trained study personnel in -person and over the phone using Nutrition Data System for Research (NDSR) software.The 3, 24-hr recalls were averaged to come up with an aggregate score for each nutrient. NDSR data was imported into a SAS® program (version 9.4) (SAS Institute Inc. Cary, NC 2014), created by National Institutes of Health-NCI, Division of Cancer Control & Population Studies that calculated a Healthy Eating Index 2010 score, a validated measure of dietary quality, for each child.
change in child's dietary energy (in kilocalories) intake
Child dietary data was assessed through from 3, 24-hr dietary recalls, collected by trained study personnel in -person and over the phone using Nutrition Data System for Research (NDSR) software.The 3, 24-hr recalls were averaged to come up with an aggregate score for each nutrient (e.g., dietary energy in kilocalories)
change in child's dietary energy (in kilocalories) intake
Child dietary data was assessed through from 3, 24-hr dietary recalls, collected by trained study personnel in -person and over the phone using Nutrition Data System for Research (NDSR) software.The 3, 24-hr recalls were averaged to come up with an aggregate score for each nutrient (e.g., dietary energy in kilocalories)
change in child's dietary energy (in kilocalories) intake
Child dietary data was assessed through from 3, 24-hr dietary recalls, collected by trained study personnel in -person and over the phone using Nutrition Data System for Research (NDSR) software.The 3, 24-hr recalls were averaged to come up with an aggregate score for each nutrient (e.g., dietary energy in kilocalories)
change in child cooking skills self-efficacy as measured by a validated survey to measure child cooking self-efficacy
Child cooking skills self-efficacy was measured using scales that have shown internal consistency and test-retest reliability in a psychometric evaluation of a cooking-based nutrition education intervention among low-income 9-11 year old children (Cronbach α = ≥ 0.74, test-retest r ≥ 0.66).(Lohse B, Cunningham-Sabo L, Walters LM, Stacey JE. Valid and Reliable Measures of Cognitive Behaviors toward Fruits and Vegetables for Children Aged 9 to 11 Years. J Nutr Educ Behav. 2011;43:42-49. doi:10.1016/j.jneb.2009.12.006). Response options for the child self-efficacy questions: 1 = YES! - 5 = NO!). The child-self-efficacy scale was calculated by summing 8 items measuring self-efficacy. A lower score indicated greater self-efficacy and more positive attitudes toward cooking.
change in adult cooking skills confidence as measured by a validated survey to measure adult cooking confidence. Response options for the cooking confidence questions: (4 items, 1 = not at all confident - 5 = very confident).
Parents completed the Cooking Matters for Families Before and After Course Survey to assess change in cooking skills confidence. Internal consistency and ability of the scales to reflect positive self-reported changes were previously among low-income adults (Pinard CA, Uvena LM, Quam JB, Smith TM, Yaroch AL. Development and testing of a revised cooking matters for adults survey. Am J Health Behav. 2015;39(6):866-873. doi:10.5993/AJHB.39.6.14). Response options for the 4 cooking confidence questions: (4 items, 1 = not at all confident - 5 = very confident). An aggregate score for each parent was tabulated by averaging the 4 questions. A higher score indicated greater cooking skills confidence.
Full Information
1. Study Identification
Unique Protocol Identification Number
NCT03641521
Brief Title
A Trial to Increase Child Vegetable Intake Through Behavioral Strategies
Official Title
A Controlled-intervention Trial to Increase Child Vegetable Intake Through Parent-implemented Behavioral Strategies
Study Type
Interventional
2. Study Status
Record Verification Date
July 2019
Overall Recruitment Status
Completed
Study Start Date
September 24, 2014 (Actual)
Primary Completion Date
May 2, 2017 (Actual)
Study Completion Date
May 2, 2017 (Actual)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Sponsor
Name of the Sponsor
University of Minnesota
4. Oversight
Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No
5. Study Description
Brief Summary
A community nutrition trial among a diverse low-income population that tested the effect of parent-child cooking nutrition intervention on vegetable intake among 9-12 children.
Detailed Description
This study was a nonrandomized, controlled trial to determine whether a series of 6 weekly parent-child vegetable cooking skills classes and parent-led strategies informed by behavioral economics (1/week) (intervention group) improved dietary and non-dietary outcomes of a racially and ethnically diverse sample of low-income children (ages 9-12) more than a vegetable cooking skills program alone (control group).
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Obesity, Childhood
Keywords
child vegetable intake, behavioral strategy, intervention
7. Study Design
Primary Purpose
Prevention
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Model Description
controlled, non-randomized community nutrition intervention
Masking
Participant
Allocation
Non-Randomized
Enrollment
103 (Actual)
8. Arms, Groups, and Interventions
Arm Title
Intervention
Arm Type
Experimental
Arm Description
The intervention consisted of an enhanced Cooking Matters® for Families program that included behavioral strategies derived from behavioral economics, to be implemented by parents at home for increasing vegetable intake of low-income 9-12 year old children
Arm Title
Control
Arm Type
No Intervention
Arm Description
The control arm consisted of the enhanced Cooking Matters® for Families program alone--without lessons about the behavioral strategies for the parents
Intervention Type
Behavioral
Intervention Name(s)
Parent-led behavioral strategies
Intervention Description
Intervention parents participated in an additional 20-25-min segment led by the nutrition educator during which the week's behavioral strategy was introduced. The following six behavioral strategies were introduced (one each week) as a segment of each cooking skills session: 1) have your child help prepare vegetables for meals (Child Help), 2) use a plate that shows the amount of vegetables to include for a meal (My Plate), 3) make vegetables visible and accessible by removing other foods from the dining area during the meal and leaving the vegetables (Make Avail/Visible), 4) serve at least 2 vegetables with the meal (Serve 2), 5) serve vegetables before the meal (Serve First), and 6) use a bigger spoon to serve the vegetables (Big Spoon).
Primary Outcome Measure Information:
Title
change in # of vegetable servings consumed by child measured by averaging vegetable serving data extracted from 3, 24-hr recalls.
Description
Number of vegetable servings were assessed from 3, 24-hr dietary recalls, collected by trained study personnel in-person and over the phone from each child, using Nutrition Data System for Research (NDSR®)software). The 3, 24-hr recalls were averaged to come up with an aggregate # of vegetable servings.
Time Frame
change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
Title
change in # of vegetable servings consumed by child measured by averaging vegetable serving data extracted from 3, 24-hr recalls.
Description
Number of vegetable servings were assessed from 3, 24-hr dietary recalls, collected by trained study personnel in-person and over the phone from each child, using Nutrition Data System for Research (NDSR®)software). The 3, 24-hr recalls were averaged to come up with an aggregate # of vegetable servings.
Time Frame
change from baseline to 6 months post-baseline
Title
change in # of vegetable servings consumed by child measured by averaging vegetable serving data extracted from 3, 24-hr recalls.
Description
Number of vegetable servings were assessed from 3, 24-hr dietary recalls, collected by trained study personnel in-person and over the phone from each child, using Nutrition Data System for Research (NDSR®)software). The 3, 24-hr recalls were averaged to come up with an aggregate # of vegetable servings.
Time Frame
change from baseline to 12 months post-baseline
Secondary Outcome Measure Information:
Title
change in liking of vegetables by child (liking rating scale was comprised of values across a 10-point labeled hedonic scale (1 -"Hate it" to 5 - "It's okay" to 10 - "Love it"))
Description
Each child rated his/her liking of 37 different vegetables.The liking rating scale was comprised of values across a 10-point labeled hedonic scale (1 -"Hate it" to 5 - "It's okay" to 10 - "Love it"). This type of liking rating scale has been validated for testing with children. (Kroll, B.J. 1990. Evaluating rating scales for sensory testing with children. Food Technology, 44(11), 78-86.) An aggregate vegetable liking score representing mean liking rating across all vegetables was calculated for each child.
Time Frame
change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
Title
change in liking of vegetables by child ( liking rating scale was comprised of values across a 10-point labeled hedonic scale (1 -"Hate it" to 5 - "It's okay" to 10 - "Love it"))
Description
Each child rated his/her liking of 37 different vegetables.The liking rating scale was comprised of values across a 10-point labeled hedonic scale (1 -"Hate it" to 5 - "It's okay" to 10 - "Love it"). This type of liking rating scale has been validated for testing with children. (Kroll, B.J. 1990. Evaluating rating scales for sensory testing with children. Food Technology, 44(11), 78-86.) An aggregate vegetable liking score representing mean liking rating across all vegetables was calculated for each child.
Time Frame
change from baseline to 6-months post baseline
Title
change in liking of vegetables by child ( liking rating scale was comprised of values across a 10-point labeled hedonic scale (1 -"Hate it" to 5 - "It's okay" to 10 - "Love it"))
Description
Each child rated his/her liking of 37 different vegetables.The liking rating scale was comprised of values across a 10-point labeled hedonic scale (1 -"Hate it" to 5 - "It's okay" to 10 - "Love it"). This type of liking rating scale has been validated for testing with children. (Kroll, B.J. 1990. Evaluating rating scales for sensory testing with children. Food Technology, 44(11), 78-86.) An aggregate vegetable liking score representing mean liking rating across all vegetables was calculated for each child.
Time Frame
change from baseline to 12-months post baseline
Title
change in number different of vegetables tried by child
Description
Each child was asked the question "Have you ever tried (name of vegetable)" with following response options: Yes/No/Don't know. An aggregate score per child was tabulated by summing all "yes" answers.
Time Frame
change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
Title
change in number different of vegetables tried by child
Description
Each child was asked the question "Have you ever tried (name of vegetable)" with following response options: Yes/No/Don't know. An aggregate score per child was tabulated by summing all "yes" answers.
Time Frame
change from baseline to 6-months post-baseline
Title
change in number different of vegetables tried by child
Description
Each child was asked the question "Have you ever tried (name of vegetable)" with following response options: Yes/No/Don't know. An aggregate score per child was tabulated by summing all "yes" answers.
Time Frame
change from baseline to 12-months post-baseline
Title
change in number of available vegetables in the child's home
Description
Each of the child's parent was asked to complete a validated Home Food Inventory developed by Fulkerson and colleagues [Fulkerson JA, Nelson MC, Lytle L, Moe S, Heitzler C, Pasch KE. The validation of a home food inventory. Int J Behav Nutr Phys Act. 2008;5:55. doi:10.1186/1479-5868-5-55], to self-report the availability of different vegetables currently in their home. Response options for each question asking if the vegetable was currently in the home were "yes /no/ don't know" . Final number of available vegetables in the home was calculated by summing the number of vegetables for which the parent answered "yes."
Time Frame
change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
Title
change in number of available vegetables in the child's home
Description
Each of the child's parent was asked to complete a validated Home Food Inventory developed by Fulkerson and colleagues [Fulkerson JA, Nelson MC, Lytle L, Moe S, Heitzler C, Pasch KE. The validation of a home food inventory. Int J Behav Nutr Phys Act. 2008;5:55. doi:10.1186/1479-5868-5-55], to self-report the availability of different vegetables currently in their home. Response options for each question asking if the vegetable was currently in the home were "yes /no/ don't know" .Final number of available vegetables in the home was calculated by summing the number of vegetables for which the parent answered "yes."
Time Frame
change from baseline to 6-months post baseline
Title
change in number of available vegetables in the child's home
Description
Each of the child's parent was asked to complete a validated Home Food Inventory developed by Fulkerson and colleagues [Fulkerson JA, Nelson MC, Lytle L, Moe S, Heitzler C, Pasch KE. The validation of a home food inventory. Int J Behav Nutr Phys Act. 2008;5:55. doi:10.1186/1479-5868-5-55], to self-report the availability of different vegetables currently in their home. Response options for each question asking if the vegetable was currently in the home were "yes /no/ don't know" . Final number of available vegetables in the home was calculated by summing the number of vegetables for which the parent answered "yes."
Time Frame
change from baseline to 12-months post baseline
Title
change in child's body mass index (as measured by collected height (m) and weight (kg) from child)
Description
Child Body Mass Index (BMI) was calculated from collected height and weight of child that were combined to report BMI in kg/m^2
Time Frame
change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
Title
change in child's body mass index (as measured by collected height (m) and weight (kg) from child)
Description
Child Body Mass Index (BMI) was calculated from collected height and weight of child that were combined to report BMI in kg/m^2
Time Frame
change from baseline to 6-months post baseline
Title
change in child's body mass index (as measured by collected height (m) and weight (kg) from child)
Description
Child Body Mass Index (BMI) was calculated from collected height and weight of child that were combined to report BMI in kg/m^2
Time Frame
change from baseline to 12-months post baseline
Title
change in child's Healthy Eating Index 2010 score (a measure of dietary quality)
Description
Child dietary data was assessed through from 3, 24-hr dietary recalls, collected by trained study personnel in-person and over the phone using Nutrition Data System for Research (NDSR) software.The 3, 24-hr recalls were averaged to come up with an aggregate score for each nutrient. NDSR data was imported into a SAS® program (version 9.4) (SAS Institute Inc. Cary, NC 2014), created by National Institutes of Health-NCI, Division of Cancer Control & Population Studies that calculated a Healthy Eating Index 2010 score, a validated measure of dietary quality, for each child (Guenther PM, Casavale KO, Reedy J, Kirkpatrick SI, Hiza HAB, Kuczynski KJ, et al. Update of the Healthy Eating Index: HEI-2010. J Acad Nutr Diet. 2013;113:569-80..
Time Frame
change from baseline to immediate post-intervention (i.e, 9 weeks post-baseline)
Title
change in child's Healthy Eating Index 2010 score (a measure of dietary quality)
Description
Child dietary data was assessed through from 3, 24-hr dietary recalls, collected by trained study personnel in -person and over the phone using Nutrition Data System for Research (NDSR) software.The 3, 24-hr recalls were averaged to come up with an aggregate score for each nutrient. NDSR data was imported into a SAS® program (version 9.4) (SAS Institute Inc. Cary, NC 2014), created by National Institutes of Health-NCI, Division of Cancer Control & Population Studies that calculated a Healthy Eating Index 2010 score, a validated measure of dietary quality, for each child.
Time Frame
change from baseline to 6-months post baseline
Title
change in child's Healthy Eating Index 2010 score (a measure of dietary quality)
Description
Child dietary data was assessed through from 3, 24-hr dietary recalls, collected by trained study personnel in -person and over the phone using Nutrition Data System for Research (NDSR) software.The 3, 24-hr recalls were averaged to come up with an aggregate score for each nutrient. NDSR data was imported into a SAS® program (version 9.4) (SAS Institute Inc. Cary, NC 2014), created by National Institutes of Health-NCI, Division of Cancer Control & Population Studies that calculated a Healthy Eating Index 2010 score, a validated measure of dietary quality, for each child.
Time Frame
change from baseline to 12-months post baseline
Title
change in child's dietary energy (in kilocalories) intake
Description
Child dietary data was assessed through from 3, 24-hr dietary recalls, collected by trained study personnel in -person and over the phone using Nutrition Data System for Research (NDSR) software.The 3, 24-hr recalls were averaged to come up with an aggregate score for each nutrient (e.g., dietary energy in kilocalories)
Time Frame
change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
Title
change in child's dietary energy (in kilocalories) intake
Description
Child dietary data was assessed through from 3, 24-hr dietary recalls, collected by trained study personnel in -person and over the phone using Nutrition Data System for Research (NDSR) software.The 3, 24-hr recalls were averaged to come up with an aggregate score for each nutrient (e.g., dietary energy in kilocalories)
Time Frame
change from baseline to 6-months post-baseline
Title
change in child's dietary energy (in kilocalories) intake
Description
Child dietary data was assessed through from 3, 24-hr dietary recalls, collected by trained study personnel in -person and over the phone using Nutrition Data System for Research (NDSR) software.The 3, 24-hr recalls were averaged to come up with an aggregate score for each nutrient (e.g., dietary energy in kilocalories)
Time Frame
change from baseline to 12-months post-baseline
Title
change in child cooking skills self-efficacy as measured by a validated survey to measure child cooking self-efficacy
Description
Child cooking skills self-efficacy was measured using scales that have shown internal consistency and test-retest reliability in a psychometric evaluation of a cooking-based nutrition education intervention among low-income 9-11 year old children (Cronbach α = ≥ 0.74, test-retest r ≥ 0.66).(Lohse B, Cunningham-Sabo L, Walters LM, Stacey JE. Valid and Reliable Measures of Cognitive Behaviors toward Fruits and Vegetables for Children Aged 9 to 11 Years. J Nutr Educ Behav. 2011;43:42-49. doi:10.1016/j.jneb.2009.12.006). Response options for the child self-efficacy questions: 1 = YES! - 5 = NO!). The child-self-efficacy scale was calculated by summing 8 items measuring self-efficacy. A lower score indicated greater self-efficacy and more positive attitudes toward cooking.
Time Frame
change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
Title
change in adult cooking skills confidence as measured by a validated survey to measure adult cooking confidence. Response options for the cooking confidence questions: (4 items, 1 = not at all confident - 5 = very confident).
Description
Parents completed the Cooking Matters for Families Before and After Course Survey to assess change in cooking skills confidence. Internal consistency and ability of the scales to reflect positive self-reported changes were previously among low-income adults (Pinard CA, Uvena LM, Quam JB, Smith TM, Yaroch AL. Development and testing of a revised cooking matters for adults survey. Am J Health Behav. 2015;39(6):866-873. doi:10.5993/AJHB.39.6.14). Response options for the 4 cooking confidence questions: (4 items, 1 = not at all confident - 5 = very confident). An aggregate score for each parent was tabulated by averaging the 4 questions. A higher score indicated greater cooking skills confidence.
Time Frame
change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
10. Eligibility
Sex
All
Minimum Age & Unit of Time
9 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
Inclusion Criteria:
Participant child must be 9-12 years old
Parent must be the main food preparer for the household
The family must qualify for some form of public assistance
Have a phone
Must not have participated in a previous Cooking Matters for Families in the past 3 years
Be able to read, speak, and understand English (or Spanish for Spanish-only courses).
Exclusion criteria:
*No exclusions other than those that do not meet inclusion criteria
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Marla Reicks, PhD
Organizational Affiliation
University of Minnesota
Official's Role
Principal Investigator
12. IPD Sharing Statement
Plan to Share IPD
Yes
IPD Sharing Plan Description
Although there is no formal plan in place, the investigative team will share any of the information with other researchers (study protocol, statistical analysis plan, informed consent form, analytic code/data). We are in the process of publishing the results of our trial in a peer-reviewed journal.
IPD Sharing Time Frame
No time frame
IPD Sharing Access Criteria
Email Study Contact
Citations:
PubMed Identifier
29242140
Citation
Overcash F, Ritter A, Mann T, Mykerezi E, Redden J, Rendahl A, Vickers Z, Reicks M. Impacts of a Vegetable Cooking Skills Program Among Low-Income Parents and Children. J Nutr Educ Behav. 2018 Sep;50(8):795-802. doi: 10.1016/j.jneb.2017.10.016. Epub 2017 Dec 12.
Results Reference
result
PubMed Identifier
30036932
Citation
Overcash FM, Reicks M, Ritter A, Leak TM, Swenson A, Vickers Z. Children Residing in Low-Income Households Like a Variety of Vegetables. Foods. 2018 Jul 20;7(7):116. doi: 10.3390/foods7070116.
Results Reference
result
PubMed Identifier
31272404
Citation
Overcash FM, Vickers Z, Ritter AE, Mann T, Mykerezi E, Redden J, Rendahl AK, Davey C, Reicks M. An in-home intervention of parent-implemented strategies to increase child vegetable intake: results from a non-randomized cluster-allocated community trial. BMC Public Health. 2019 Jul 4;19(1):881. doi: 10.1186/s12889-019-7079-4.
Results Reference
derived
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A Trial to Increase Child Vegetable Intake Through Behavioral Strategies
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