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Parents' reported food preparation time is
inversely associated with energy density of
children's
ad libitum laboratory meals
CV Shehan1, HA Schlechter2, TL Cravener2, JE Hayes1, and KL
Keller1,2
1 - Department of Food Science
2 - Department of Nutritional Sciences
Pennsylvania State University
University Park, Pennsylvania
Children do not meet most
dietary recommendations.
USDA (2013) “Diet Quality of
Children Age 2-17 Years as
Measured by the Healthy Eating
Index-2010”
Food Preparation and Diet Quality
o Increased food prep time  increased diet quality in young
adults
o Fewer meals eaten outside the home
o Less usage of high energy density (ED) convenience foods
o Family meals associated with better nutritional outcomes
Could the time that parents spend
on food preparation influence
children’s food choices and outside
the home?Larson et al. (2006, 2007, 2011). Journal of the American Dietetic Association
Larson and Story (2009). Annals of Behavioral Medicine.
Study Overview
• Data comes from a children’s food
liking/intake study
• Two visits to the Children’s Eating Behavior
Lab
• Parents filled out various online questionnaires
• Children tasted and rated their liking of foods
• Children ate an ad libitum test meal
• Participants encouraged to visit during their
usual meal times
• Parents and children separated to minimize
bias
Research Study for 4-6 year-olds
Help us understand what
drives food choices for kids!
You will be compensated $40 for your time.
Interested? Please call us at 814-863-9841 to learn more
about this exciting study!
FoodChoiceStudy
814-863-9841
FoodChoiceStudy
814-863-9841
FoodChoiceStudy
814-863-9841
FoodChoiceStudy
814-863-9841
FoodChoiceStudy
814-863-9841
FoodChoiceStudy
814-863-9841
FoodChoiceStudy
814-863-9841
FoodChoiceStudy
814-863-9841
FoodChoiceStudy
814-863-9841
This study is being conducted by Dr. Kathleen Keller in the Department of Nutritional Sciences
and is approved by the Institutional Review Board (IRB) of Penn State University.
Participants
Minimum Maximum Mean S.D.
Age (years) 4.0 6.9 5.4 0.8
BMI percentile 4 99 51.6 27.7
n %
Child’s Sex
Male
Female
34
27
55.7
44.3
Child’s BMI Class**
Not Overweight Or Obese
Overweight Or Obese
52
8
86.7
13.3
Race And Ethnicity
White, Non-Hispanic
Non-white and/or Hispanic
49
12
80.3
19.7
**One data point missing
Overall n= 61*; 95% retention rate
*n for data analysis = 57; 3 participants
dropped out of the study and 1 participant’s
survey data was corrupted
n %
Parent in Study
Mother
Father
54
6
90
10
Stay-at-home
Parent
Yes
No
33
28
46
54
Test Meal
0 1 2 3 4 5 6
Tomatoes
Broccoli
Red Grapes
Ketchup
Chicken Nuggets
Cookies
Potato Chips
Energy Density (kcal/g)
Children had ad libitum access to foods for 30 minutes.
Socioeconomic Status
• Measurements of income and education
• How many people live in your household?
• What is the highest level of education you have
completed?
• Categorical: Less than High Hchool  Graduate
Degree
• Which of these categories describes your 2012
gross household income?
• Collected as categorical variable
Socioeconomic Status
• Transformed income categories to continuous variable
• Median of each income range
• Per capita income to account for variability in family size
• Estimate / # people in household
Category
Estimated
Gross
Income
Per Capita
(Family of
4)
Per Capita
(Family of
8)
Less than $20,000 $10,000 $2500 $5000
$20,000 - $35,000 $27,500 $6875 $3475.50
$36,000 - $50,000 $44,000 $11,000 $5500
$51,000 - $75,000 $63,000 $15,750 $7875
$76,000 - $100,000 $88,000 $22,000 $11,000
More than $100,000 $120,000 $30,000 $15,000
Test Meal
Min Max Mean S.D.
Energy Intake
(kCal)
218 1112 618 196
Test Meal Mass (g) 79.2 703.5 336.51 126.1
Food ED (kCal/g)
1.26 4.49 2.80 0.62
Parental Reports
Minimum Maximum Mean S.D.
Household Income
(USD) *
< 20,000 > 100,000 59,418 35,189
Per Capita Income
(USD) *
2,000 40,000 14,488 9,989
Household Size
Food Preparation Time
(hours)
1.0 16.0 7.7 4.0
*estimated values for mean and standard deviation
0
1
2
3
4
5
0 5 10 15 20
TestMealEnergyDensity
(kCal/g)
Reported Home Food Preparation Time (hours/week)
Significant negative correlation
between reported food preparation
time and test meal energy density
* r= -.34, p= .01
Children whose parents spend 10+ hours on food
prep per week ate significantly lower ED meals than
their peers.
*
b
0
1
2
3
4
AverageEnergyDensity
(kCal/g)
5 or fewer hours/week Between 5 and 10 hours per week
10 or more hours/week
A
*One-Way ANOVA and LSD showed significant difference from other groups at p=.005
B*
A
0
1
2
3
4
5
$- $20,000 $40,000
EnerguyDensity
(kCal/g)
Per capita Income
r= - .05, p= .795
No associations were found between socioeconomic
status and and test meal energy density
n=46
n=11
0
1
2
3
4
5
EnergyDensity
(kCal/g)
Bachelor’s Degree No Bachelor’s
Degree
p= .343
Household Income Education
0
1
2
3
4
5
-3 -2 -1 0 1 2 3
MealEnergyDensity
(kCal/g)
Income/Prep Time Residual Z-Score
Food preparation time is negatively
associated with meal energy density,
regardless of family income, education, or
parental work status
r= -.36, p =
________
Limitations
• Limited participant diversity
• Limited sample size for analysis (n=57)
• Limited number of visits– children’s food intake is
variable
• Test meals may not be indicative of normal intake
patterns
• Awareness of parental monitoring among some
children
• Parents asked not to discuss the study between visits, but….
Future Research
• Increase sample size and participant diversity
• Design and test targeted interventions
• Study related concepts/behaviors in parents
• Types of food prepared at home
• Food preparation skill and nutrition knowledge
• Attitudes toward the importance of food
Bill Watterson, Calvin and Hobbes
Conclusions
• Food preparation time is a significant predictor of children’s food
choices away from home.
• Reported time spent on food preparation is negatively related with child-
selected test meal ED
• SES was not shown to be a significant predictor of children’s food
choices away from home.
• Neither family income nor parental education level was associated with
test meal energy density
• But the case isn’t closed…
The amount of time parents
spend on food preparation may
influence the quality of children’s
food choices away from their
parents and their home.
Thank you!
• My study participants and their families
• The Children’s Eating Behavior Lab
• Carol Byrd-Bredbenner - Rutgers
Have an idea? Let’s talk! cvs121@psu.edu
Any questions?

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Catherine's SSIB Presentation

  • 1. Parents' reported food preparation time is inversely associated with energy density of children's ad libitum laboratory meals CV Shehan1, HA Schlechter2, TL Cravener2, JE Hayes1, and KL Keller1,2 1 - Department of Food Science 2 - Department of Nutritional Sciences Pennsylvania State University University Park, Pennsylvania
  • 2. Children do not meet most dietary recommendations. USDA (2013) “Diet Quality of Children Age 2-17 Years as Measured by the Healthy Eating Index-2010”
  • 3. Food Preparation and Diet Quality o Increased food prep time  increased diet quality in young adults o Fewer meals eaten outside the home o Less usage of high energy density (ED) convenience foods o Family meals associated with better nutritional outcomes Could the time that parents spend on food preparation influence children’s food choices and outside the home?Larson et al. (2006, 2007, 2011). Journal of the American Dietetic Association Larson and Story (2009). Annals of Behavioral Medicine.
  • 4. Study Overview • Data comes from a children’s food liking/intake study • Two visits to the Children’s Eating Behavior Lab • Parents filled out various online questionnaires • Children tasted and rated their liking of foods • Children ate an ad libitum test meal • Participants encouraged to visit during their usual meal times • Parents and children separated to minimize bias Research Study for 4-6 year-olds Help us understand what drives food choices for kids! You will be compensated $40 for your time. Interested? Please call us at 814-863-9841 to learn more about this exciting study! FoodChoiceStudy 814-863-9841 FoodChoiceStudy 814-863-9841 FoodChoiceStudy 814-863-9841 FoodChoiceStudy 814-863-9841 FoodChoiceStudy 814-863-9841 FoodChoiceStudy 814-863-9841 FoodChoiceStudy 814-863-9841 FoodChoiceStudy 814-863-9841 FoodChoiceStudy 814-863-9841 This study is being conducted by Dr. Kathleen Keller in the Department of Nutritional Sciences and is approved by the Institutional Review Board (IRB) of Penn State University.
  • 5. Participants Minimum Maximum Mean S.D. Age (years) 4.0 6.9 5.4 0.8 BMI percentile 4 99 51.6 27.7 n % Child’s Sex Male Female 34 27 55.7 44.3 Child’s BMI Class** Not Overweight Or Obese Overweight Or Obese 52 8 86.7 13.3 Race And Ethnicity White, Non-Hispanic Non-white and/or Hispanic 49 12 80.3 19.7 **One data point missing Overall n= 61*; 95% retention rate *n for data analysis = 57; 3 participants dropped out of the study and 1 participant’s survey data was corrupted n % Parent in Study Mother Father 54 6 90 10 Stay-at-home Parent Yes No 33 28 46 54
  • 6. Test Meal 0 1 2 3 4 5 6 Tomatoes Broccoli Red Grapes Ketchup Chicken Nuggets Cookies Potato Chips Energy Density (kcal/g) Children had ad libitum access to foods for 30 minutes.
  • 7. Socioeconomic Status • Measurements of income and education • How many people live in your household? • What is the highest level of education you have completed? • Categorical: Less than High Hchool  Graduate Degree • Which of these categories describes your 2012 gross household income? • Collected as categorical variable
  • 8. Socioeconomic Status • Transformed income categories to continuous variable • Median of each income range • Per capita income to account for variability in family size • Estimate / # people in household Category Estimated Gross Income Per Capita (Family of 4) Per Capita (Family of 8) Less than $20,000 $10,000 $2500 $5000 $20,000 - $35,000 $27,500 $6875 $3475.50 $36,000 - $50,000 $44,000 $11,000 $5500 $51,000 - $75,000 $63,000 $15,750 $7875 $76,000 - $100,000 $88,000 $22,000 $11,000 More than $100,000 $120,000 $30,000 $15,000
  • 9. Test Meal Min Max Mean S.D. Energy Intake (kCal) 218 1112 618 196 Test Meal Mass (g) 79.2 703.5 336.51 126.1 Food ED (kCal/g) 1.26 4.49 2.80 0.62
  • 10. Parental Reports Minimum Maximum Mean S.D. Household Income (USD) * < 20,000 > 100,000 59,418 35,189 Per Capita Income (USD) * 2,000 40,000 14,488 9,989 Household Size Food Preparation Time (hours) 1.0 16.0 7.7 4.0 *estimated values for mean and standard deviation
  • 11. 0 1 2 3 4 5 0 5 10 15 20 TestMealEnergyDensity (kCal/g) Reported Home Food Preparation Time (hours/week) Significant negative correlation between reported food preparation time and test meal energy density * r= -.34, p= .01
  • 12. Children whose parents spend 10+ hours on food prep per week ate significantly lower ED meals than their peers. * b 0 1 2 3 4 AverageEnergyDensity (kCal/g) 5 or fewer hours/week Between 5 and 10 hours per week 10 or more hours/week A *One-Way ANOVA and LSD showed significant difference from other groups at p=.005 B* A
  • 13. 0 1 2 3 4 5 $- $20,000 $40,000 EnerguyDensity (kCal/g) Per capita Income r= - .05, p= .795 No associations were found between socioeconomic status and and test meal energy density n=46 n=11 0 1 2 3 4 5 EnergyDensity (kCal/g) Bachelor’s Degree No Bachelor’s Degree p= .343 Household Income Education
  • 14. 0 1 2 3 4 5 -3 -2 -1 0 1 2 3 MealEnergyDensity (kCal/g) Income/Prep Time Residual Z-Score Food preparation time is negatively associated with meal energy density, regardless of family income, education, or parental work status r= -.36, p = ________
  • 15. Limitations • Limited participant diversity • Limited sample size for analysis (n=57) • Limited number of visits– children’s food intake is variable • Test meals may not be indicative of normal intake patterns • Awareness of parental monitoring among some children • Parents asked not to discuss the study between visits, but….
  • 16. Future Research • Increase sample size and participant diversity • Design and test targeted interventions • Study related concepts/behaviors in parents • Types of food prepared at home • Food preparation skill and nutrition knowledge • Attitudes toward the importance of food Bill Watterson, Calvin and Hobbes
  • 17. Conclusions • Food preparation time is a significant predictor of children’s food choices away from home. • Reported time spent on food preparation is negatively related with child- selected test meal ED • SES was not shown to be a significant predictor of children’s food choices away from home. • Neither family income nor parental education level was associated with test meal energy density • But the case isn’t closed…
  • 18. The amount of time parents spend on food preparation may influence the quality of children’s food choices away from their parents and their home.
  • 19. Thank you! • My study participants and their families • The Children’s Eating Behavior Lab • Carol Byrd-Bredbenner - Rutgers Have an idea? Let’s talk! cvs121@psu.edu

Editor's Notes

  1. Too much added sugar, refined grains, fat, and salt Not enough fruits, vegetables, and whole grains
  2. Part of a larger cross-sectional food liking and intake study
  3. 3 dropouts
  4. Participants divided into groups by amount of food prep: Group 1: Five or fewer hours spent on food prep Group 2: between 5 and 10 hours spent on food prep Group 3: 10 or more hours spent on food prep Children whose parents who report spending ten or more hours per week on food preparation ate significantly lower ED test meals. One-Way ANOVA: F(2,55) = 4.557, p = . 015 ; LSD followup: less than 5 and 5-10 (p=.565), less than 5 and 10+ (p= .024), 5-10 and 10+ (p=.005)
  5. Household Income and Meal ED are not correlated and income does not affect the food prep/ED relationship.
  6. Primarily white, non-Hispanic population Lower SES groups not well-represented Majority of parents had Bachelor’s degree or higher Majority of families with annual income > 50K College town population – not representative of most places Many highly educated people with a low income (grad students, post-docs) Many children coming from academic families – different values?
  7. What are they preparing at home? Does it matter what they prepare? How much do they know about food? How skilled are they at food preparation? How confident do they feel about cooking?
  8. Ideas for follow up studies Repeat this one, but…. Increase number of participants Increase number of test meals Perform study in variety of environments (urban, rural, etc.) Potential Intervention Studies Teach parents food prep skills Get parents more interested in cooking, food, and nutrition