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.
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).
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
PREVENTION
Masking
SINGLE
Enrollment
103
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).
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.
Time frame: change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
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.
Time frame: change from baseline to 6 months post-baseline
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.
Time frame: change from baseline to 12 months post-baseline
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.
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Time frame: change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
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.
Time frame: change from baseline to 6-months post baseline
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.
Time frame: change from baseline to 12-months post baseline
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.
Time frame: change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
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.
Time frame: change from baseline to 6-months post-baseline
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.
Time frame: change from baseline to 12-months post-baseline
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."
Time frame: change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
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."
Time frame: change from baseline to 6-months post baseline
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."
Time frame: change from baseline to 12-months post baseline
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
Time frame: change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
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
Time frame: change from baseline to 6-months post baseline
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
Time frame: change from baseline to 12-months post baseline
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..
Time frame: change from baseline to immediate post-intervention (i.e, 9 weeks post-baseline)
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.
Time frame: change from baseline to 6-months post baseline
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.
Time frame: change from baseline to 12-months post baseline
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)
Time frame: change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
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)
Time frame: change from baseline to 6-months post-baseline
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)
Time frame: change from baseline to 12-months post-baseline
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.
Time frame: change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)
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.
Time frame: change from baseline to 9 weeks post-baseline (i.e., immediate post-intervention)