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. Author manuscript; available in PMC: 2019 Aug 1.
Published in final edited form as: J Acad Nutr Diet. 2018 Mar 1;118(8):1417–1424. doi: 10.1016/j.jand.2017.11.008

Contribution of Beverage Selection to the Dietary Quality of Preschoolers’ Packed Lunches

Maria Jose Romo-Palafox 1,, Nalini Ranjit 2, Sara J Sweitzer 3, Cindy Roberts-Gray 4, Courtney E Byrd-Williams 5, Margaret E Briley 6, Deanna M Hoelscher 7
PMCID: PMC6064657  NIHMSID: NIHMS920764  PMID: 29478941

Abstract

Background

Sweet drinks early in life could predispose to lifelong consumption and the beverage industry does not clearly define fruit drinks as part of the sweet drink category.

Objectives

To ascertain the relationship of beverage selection and dietary quality of preschoolers’ packed lunches evaluated using the Healthy Eating Index-2010.

Methods

Foods packed by parents (n=607) were observed at 30 Early Care and Education (ECE) centers on two non-consecutive days. Three level regression models were used to examine a) the dietary quality of lunches by beverage selection and b) the dietary quality of the lunch controlling for the nutrient composition of the beverage by removing it from the analysis.

Results

Fruit drinks were included in 25% of parent-packed lunches, followed by 100% fruit juice (14%), milk (14%) and flavored milk (3.7%). Lunches with plain milk had the highest HEI-2010 scores (59.3) followed by lunches with 100% fruit juice (56.9) and flavored milk (53.2). Lunches with fruit drinks had the lowest HEI scores at 48.6. After excluding the nutrient content of the beverage, the significant difference between lunches containing milk and flavored milk persisted (+5.5), the difference between fruit drinks and 100% fruit juice did not.

Conclusions

Dietary quality is associated with the type of beverage packed and these differences hold when the lunch is analyzed without the nutrient content of the beverage included.

Keywords: Dietary quality, lunch, preschool, sugary drinks, parents

INTRODUCTION

High consumption of fruit drinks (i.e. not 100% fruit juice) may in part be attributable to pervasive marketing by the beverage industry. In 2013, the beverage industry in the U.S. spent $140 million to advertise 100% fruit juice and $73 million to advertise fruit drinks. Fruit drink marketing often targets parents with messages that could lead them to believe that fruit drinks are healthy1. In a 2014 report, Harris et al. found that 100% of children’s fruit drink packages made nutrition-related and ingredient claims.1 Adding to the confusion, some brands offer both 100% fruit juice and fruit drinks with similar names and packaging.1 As many parents rely on package information to make their purchase decisions,2 claims about nutrition or health may increase confusion and influence this decision process. Parents of preschool children may have variable awareness and understanding that fruit drinks are a type of sugary beverage. For example, 97% of preschoolers’ parents in a sample considered soda to be unhealthy and only 69% thought the same about fruit drinks.2 Consistent with these perceptions, 80% of parents offered their 2–5 year-old child fruit drinks and 40% offered regular soda.

The preschool years represent a critical period for obesity prevention,3, 4 especially in light of evidence that food preferences and eating habits developed at this age track into the school years and beyond.57 The variety of foods selected at this age are strong predictors of consumption when older.8, 9 Additionally, the energy density of the foods consumed in early childhood have been associated with energy density of adult diets,8, 9 and consumption of soft drinks during infancy is positively associated with consumption at age 6.10 Preschool food preferences also have been linked to nutrient intake; strong correlations for carbohydrate and fat intake were found from age 3–5 to age 7–8.5 Children have an innate preference for sweet flavors, therefore exposure to sweet food and drinks early in life could predispose children to lifelong consumption of these products.11, 12 Conversely, providing young children with less sweet foods including a variety of vegetables and whole grains is crucial to developing acceptance of these foods for later life.1316 The American Academy of Pediatrics (AAP) encourages serving preschoolers plain milk or water and avoiding sugary drinks (i.e., beverages with added sugar) including fruit drinks.17 A recent AAP publication establishes that 100% fruit juice should be limited in preschooler’s diets and whole fruit should be offered instead, preschoolers should not consume more than 4 oz (118.3 ml) of 100% fruit juice and should not receive fruit drinks.18

Understanding the dietary patterns of preschool children, and determining whether they are in line with current guidance is necessary to inform recommendations that improve dietary quality among preschool aged children.19 Dietary patterns based on beverage consumption have been used to predict the quality of young childrens’ diets.20 Five-year-old girls who consumed sugary beverages consumed more added sugars and had lower dietary quality when compared to girls who were not consuming sugary beverages.21 Research indicates fluid milk (both whole and reduced-fat) and 100% fruit juice are the main sources of calories in U.S. preschoolers’ diets;22 and fruit drinks are the main sources of added sugars.23

The objective of this study was to ascertain the relationship of beverage selection and the dietary quality of preschoolers’ packed lunches evaluated using the Healthy Eating Index-2010 (HEI-2010) total and component scores. To our knowledge this is the first study to examine beverage selection of parent-packed lunches in the preschool setting. This study assesses (a) the contribution of beverages to the dietary quality for the meal for which the nutrient composition of beverage was included in the analysis and (b) to determine if beverage selection can serve as a marker of dietary patterns for which the nutrient composition of the beverage was not included in the analysis. We hypothesized that beverage selection contributes to the dietary quality of the lunch and can serve as a marker of dietary patterns.

METHODS

Data from the Lunch is in the Bag (LIITB) trial, collected in Texas between 2011 and 2013 were used.2426 LIITB was a multi-level behaviorally-based intervention intended for implementation at Early Care and Education (ECE) centers where parents sent lunches from home. The aim of the intervention was to increase the servings of fruits, vegetables and whole grains that parents packed in their preschoolers’ lunch.2426 The following factors were observed at baseline on two randomly selected non-consecutive weekdays: self-reported demographic information, measured child anthropometrics, direct observations of food items present in parent-packed lunches and portion consumed by the child. The pertinent Institutional Review Boards approved all measurements and procedures.

Participants

A total of 1396 ECE centers that were licensed by the State Department of Family and Protective Services were contacted via telephone survey. ECE centers were eligible for the study (n=104) if they cared for at least 15 preschool aged children who ate lunch at the ECE center daily and required parents to send meals from home; a total of 30 ECE were enrolled. Parent-child dyads (i.e. the adult who was primarily responsible for packing lunch and their 3–5 year old child) from ECE centers in 3 central Texas cities were invited to participate in the trial. Parents provided written consent for themselves and their child to participate in the study.

Measures

Demographic and weight information

Surveys were distributed to parents to report their height, weight, race/ethnicity, gender, age and marital status. Child height and weight were obtained using anthropometric measurements taken at the ECE center by trained research team members using standardized methods and equipment.27

Lunchbox Observations

Observers were trained by a Registered Dietitian to visually classify and estimate amounts of food and beverages present in packed lunches. This observational methodology was established by Sweitzer et al. and is briefly described below.26 Based on previous research from parent packed lunches at ECE centers, observers were trained to recognize and visually estimate amounts of 41 foods. After training, researchers assembled 10 test lunches (every ingredient was weighed and measured) and observers recorded food descriptions and visually estimated amounts. Based on results from the test lunches the method proved to be highly valid (ICC 0.951; 95% CI 0.91 – 0.97) and reliable (ICC 0.979; 95% CI 0.957 – 0.993).26

Before lunch, at the ECE center, trained observers recorded the foods and beverages packed by parents using standard measuring units (e.g. cups, pieces, or ounces). Two lunchbox observations on non-consecutive week days were completed for each participating child. Observers were trained to include as much detail as possible (e.g. milk in thermos was recorded as “milk, fat not specified”, milk packaged for individual sale included fat percent). During lunch the trained observers recorded the amount of food consumed by each participating child. Observers were trained to record food spilled, dropped, shared, or taken away. Quality control checks were completed for 10% of all dietary measurements in the field.

Beverage selection

Categorical variable were defined as follows: plain water, 100% fruit juice, fruit drink, plain milk (any fat level), and flavored milk (any fat level). Plain water: in the observed ECE centers, teachers poured plain water when no beverage was present in the parent-packed lunch and observers didn’t record if the plain water was packed or offered by the center. Fruit drink vs 100% fruit juice: per the Food and Drug Administration juice can be labeled as 100% if a) it contains juices directly expressed from fruits or b) reconstituted concentrate with Brix levels equivalent to juices directly expressed from fruits. Milk and flavored milk: cow’s milk and non-dairy milks (e.g. soy, almond, coconut) were coded as milk or flavored milk depending on their flavor characteristics. Meals that included more than one beverage were coded as “>1 beverage”.

Energy, Macronutrients and Healthy Eating Index (HEI)

Dietary data were analyzed with the Food Intake Analysis System (FIAS) to provide weight or volume (in grams or milliliters), energy, and macronutrient content of individual food items.28 The My Pyramid Equivalent Database (MPED) coding system was used to calculate HEI-2010 components and total scores, measuring dietary quality on a scale of 1–100.29, 30 More details on the HEI-2010 scores for this sample have been published elsewhere.31

Data analysis

Statistical Analysis System (SAS) software (version 9.4, SAS Institute, Inc., Cary, NC, USA) was used to analyze all data. Descriptive statistics were computed to determine the mean volume of beverages packed. Statistical modeling was used to examine the difference in dietary quality of lunches by beverage selection (whole meal), and to examine if this difference was sustained when the nutrient composition of the beverage was dropped from the analysis. Multivariate analyses were used to estimate the mean dietary quality (represented by HEI-2010 scores and nutrient content) across beverage categories. To account for non-independence and potential clustering of observations, three-level regression models with random intercepts at the child and ECE levels were employed to model outcomes. Regressions were also adjusted for possible confounding from child gender, age and BMI percentile. Regression-adjusted means for each HEI-2010 component score by beverage selection for packed lunches were derived from two models; a) including the nutrient content of beverages and b) without the nutrient content of beverages.

RESULTS

Sample Characteristics

Eligible ECE centers (n=104) were invited to participate in the study, resulting in a sample of 30 ECE centers in 3 central Texas cities. Lunch observation data were available for 607 preschool children age 3–5 years (mean 3.5 years) and their parents (mean 36.5 years) (Table 1). Almost all parent participants were mothers, 66% were Caucasian and 19% Hispanic. The sexes were equally represented in the children (52% boys). More than half of the households (57%) had an annual income greater than $100,000.

Table 1.

Parent and child demographicsa from the Lunch is in the Bag Trial

Child n %
Age (Mean, SD) 3.51 (0.69)
Calculated BMI percentile (Mean, SD) 56.79 (29.99)
Child BMI categories
 Underweightb 32 (5.54)
 Healthy weightc 416 (71.97)
 Overweightd 75 (12.98)
 Obesee 55 (9.52)
Race
 Caucasian 367 (66.01)
 Hispanic 105 (18.88)
 Other 84 (15.11)
Gender
 Boy 315 (52.33)
Parent n %

Age (Mean, SD) 36.51 (5.42)
Calculated BMI (Mean, SD) 24.76 (5.07)
Parent BMI categories
 Underweightf 15 (2.75)
 Healthy weightg 327 (60.00)
 Overweighth 127 (23.30)
 Obesei 76 (13.94)
Gender
 Female 499 (89.75)
Race
 Caucasian 396 (71.74)
 Hispanic 98 (17.75)
 Other 58 (10.51)
Annual family income
 Less than $59,999 92 (17.43)
 $60,000 – $79,999 52 (9.85)
 $80,000 – $99,999 83 (15.72)
 Greater than $100,000 301 (57.01)
Highest level of education
 Some college or less 96 (13.30)
 Associate or Bachelor’s degree 274 (49.37)
 Masters or Doctorate degree 185 (33.33)
Marital status
 With partner 503 (91.12)
a

Numbers for different outcome measures may vary due to missing values

b

< 5th BMI percentile

c

≥5th – <85th BMI percentile

d

≥85th – <95th BMI Percentile

e

≥95th BMI percentile

f

BMI > 18.5

g

BMI 18.5 – 24.9

h

BMI 25 – 29.9

i

BMI ≥30

Frequency of beverages packed in child lunches

The majority (62.1%) of meals (n=1,195) in this sample included a beverage other than plain water and there were no sodas in any of the lunches examined. Fruit drinks were included in 25% of the lunches, followed by 100% fruit juice (14%), milk (14%) and flavored milk (3.7%); additionally, 5.2% of meals included more than 1 beverage. A third (37%) of the parents packed the same beverage on both days, 15% only packed a beverage in one of the two observed lunches, and 17% packed different beverages on each day.

Amount and nutrient content of beverages

The mean serving of beverages differed by type of beverage and ranged from 198 ml – 250 ml for one beverage and 438 ml when the lunch included more than one beverage. The mean serving consumed by preschoolers ranged from 190 ml of flavored milk to 127 ml of whole milk. Preschoolers with more than 1 beverage in their lunch consumed, on average, 181 ml total from both beverages. The energy content ranged from 171 kcals for flavored milk to 92 kcals for fruit drinks (Table 2). The mean serving of fruit drinks had an average of 21 g of sugar, 78% from added sugars; flavored milk contained an average of 26 g of sugar, 50% added sugars; 100% fruit juices included 20 g of sugars with minimal added sugars (0.4%), and none of the sugars from non-flavored milk (11.17 g) were added sugars.

Table 2.

Nutrient composition of beverages packed in preschoolers’ lunches

100% Fruit Juice Plain Milk Fruit Drink Flavored Milk > 1 Beverage

Mean ± SD Mean ± SD Mean ± SD Mean ± SD Mean ± SD
Volume (ml) 198 ± 47 218 ± 71 224 ± 66 250 ± 31 438 ± 116
Energy (kcals) 99 ± 23 106 ± 37 92 ± 34 171 ± 32 214 ± 74
Total Fat (g) 0 ± 0 4 ± 2 0 ± 0 3 ± 2 4 ± 3
Protein (g) 0 ± 0 7 ± 2 0 ± 0 8 ± 1 7 ± 5
Carbohydrate (g) 25 ± 6 11 ± 3 23 ± 9 28 ± 5 40 ± 15
 Dietary Fiber (g) 0 ± 0 0 ± 0 0 ± 0 1 ± 1 1 ± 1
 Total sugars (g) 20 ± 5 11 ± 4 21 ± 8 26 ± 4 36 ± 13
 Added sugars (g) 0 ± 0 0 ± 0 17 ± 7 13 ± 3 14 ± 14
Calcium (mg) 97 ± 46 277 ± 109 18 ± 17 287 ± 33 315 ± 214
Vitamin C (mcg) 114 ± 38 0 ± 0 28 ± 33 1 ± 1 62 ± 67
Percent Consumed 82 ± 34 58 ± 38 74 ± 37 76 ± 35 41 ± 25

Dietary quality of whole meals per type of accompanying beverage

Additional analyses examined the association of beverage packed with dietary quality of the lunches measured using the HEI-2010 (Table 3). Higher HEI-2010 scores reflect higher dietary quality of the meal. When the full lunch was analyzed, HEI-2010 total scores (0 – 100 points) differed significantly depending on beverage type. Meals that contained milk had the highest average HEI score (59.3), followed by meals with flavored milk (53.2), and meals containing > 1 beverage (51.2). Meals that contained a fruit drink showed the lowest average HEI-2010 total score (48.6). The average HEI-2010 score for meals containing a fruit drink (48.6) were significantly lower when compared to meals with plain water (53.3), 100% fruit juice (56.9), and milk (59.3). Conversely, meals that contained milk had higher (+6.1) HEI-2010 total sores than flavored milk. The component scores that differed significantly by beverage packed were total vegetables, total fruit, dairy, fatty acids, sodium, refined grains, and empty calories.

Table 3.

Healthy Eating Index scores for preschooler lunches packed, by Beverage choice (n=607)

HEI-2010 component (maximum points) Fruit Drink 100% Fruit Juice Plain Milk Flavored Milk > 1 Beverage Plain Water

Adequacy: Standard for maximum score Meana SE Meana SE Meana SE Meana SE Meana SE Meana SE

1 Total Vegetables (5) ≥1.1 cup equiv. per 1,000 kcal With Beverage* 1.3 (0.1) 1.5 (0.2) 1.8 (0.2) 1.5 (0.3) 1.4 (0.3) 1.9 (0.1)
With Out Beverage* 1.5 (0.1) 1.2 (0.2) 2.0 (0.2) 1.7 (0.3) 1.5 (0.3) 1.9 (0.1)
1 Greens and Beans (5) ≥ 0.2 cup equiv. per 1,000 kcal With Beverage 0.4 (0.1) 0.1 (0.1) 0.4 (0.1) 0.3 (0.2) 0.1 (0.2) 0.5 (0.1)
With Out Beverage 0.4 (0.1) 0.1 (0.1) 0.5 (0.1) 0.3 (0.2) 0.1 (0.2) 0.5 (0.1)
2 Total Fruit (5) ≥0.8 cup equiv. per 1,000 kcal With Beverage*** 4.2 (0.1) 4.9 (0.2) 3.7 (0.2) 3.6 (0.3) 4.1 (0.2) 3.9 (0.1)
With Out Beverage 3.9 (0.2) 4.2 (0.2) 3.7 (0.2) 3.7 (0.3) 3.8 (0.3) 3.9 (0.2)
3 Whole Fruit (5) ≥0.4 cup equiv. per 1,000 kcal With Beverage 4.1 (0.2) 4.2 (0.2) 3.8 (0.2) 3.8 (0.3) 3.9 (0.3) 4.0 (0.2)
With Out Beverage 4.1 (0.2) 4.3 (0.2) 3.9 (0.2) 3.8 (0.3) 4.0 (0.3) 4.0 (0.2)
 Whole Grains (10) ≥1.5 oz. equiv. per 1,000 kcal With Beverage 3.5 (0.3) 3.9 (0.4) 4.4 (0.4) 3.5 (0.7) 3.0 (0.6) 3.9 (0.3)
With Out Beverage 3.7 (0.4) 4.1 (0.4) 4.6 (0.4) 3.8 (0.7) 3.3 (0.6) 3.9 (0.3)
4 Dairy (10) ≥1.3 cup equiv. per 1,000 kcal With Beverage*** 5.0 (0.3) 5.7 (0.3) 9.7 (0.3) 10.0 (0.6) 8.2 (0.5) 5.4 (0.2)
With Out Beverage 5.5 (0.3) 6.0 (0.4) 5.5 (0.4) 5.5 (0.7) 5.8 (0.6) 5.3 (0.3)
5 Total Protein Foods (5) ≥2.5 oz. equiv. per 1,000 kcal With Beverage 3.9 (0.1) 3.7 (0.2) 4.0 (0.2) 3.7 (0.3) 3.6 (0.3) 3.9 (0.1)
With Out Beverage 4.0 (0.1) 3.8 (0.2) 4.1 (0.2) 3.9 (0.3) 3.8 (0.3) 3.9 (0.1)
5,6 Seafood and Plant Proteins (5) ≥0.8 oz. equiv. per 1,000 kcal With Beverage 1.4 (0.2) 1.7 (0.2) 1.8 (0.2) 1.3 (0.4) 1.3 (0.3) 1.8 (0.2)
With Out Beverage 1.4 (0.2) 1.7 (0.2) 1.9 (0.2) 1.4 (0.4) 1.4 (0.3) 1.8 (0.2)
7 Fatty Acids (10) (PUFAs + MUFAs)/SFAs >2.5 With Beverage*** 4.5 (0.3) 4.1 (0.3) 3.0 (0.3) 2.8 (0.6) 3.1 (0.5) 5.0 (0.2)
With Out Beverage 4.5 (0.3) 4.2 (0.4) 5.2 (0.4) 4.5 (0.7) 4.7 (0.6) 5.0 (0.2)
Moderation:
Sodium (10) ≤1.1 gram per 1,000 kcal With Beverage* 5.2 (0.3) 5.7 (0.4) 5.5 (0.4) 4.8 (0.6) 6.0 (0.6) 4.7 (0.3)
With Out Beverage 4.2 (0.3) 4.6 (0.4) 4.8 (0.4) 3.8 (0.6) 3.8 (0.6) 4.6 (0.3)
Refined Grains (10) 0 ≤1.8 oz. equiv. per 1,000 kcal With Beverage*** 6.1 (0.3) 6.5 (0.3) 7.1 (0.3) 7.3 (0.6) 7.0 (0.5) 5.2 (0.2)
With Out Beverage 5.0 (0.3) 5.3 (0.4) 6.0 (0.4) 5.7 (0.7) 5.2 (0.6) 5.2 (0.2)
8 Empty Calories (20) ≤19% of energy With Beverage*** 8.9 (0.4) 14.8 (0.5) 14.2 (0.5) 10.5 (0.9) 9.9 (0.8) 13.2 (0.3)
With Out Beverage* 12.3 (0.4) 12.2 (0.5) 14.6 (0.5) 12.8 (1.0) 11.3 (0.8) 13.2 (0.3)
Total Score (100) With Beverage*** 48.6 (1.2) 56.9 (1.4) 59.3 (1.4) 53.2 (2.4) 51.9 (2.1) 53.3 (1.1)
With Out Beverage* 50.6 (1.3) 51.8 (1.5) 56.5 (1.5) 51.0 (2.5) 49.1 (2.1) 53.2 (1.1)
1

Includes any beans and peas not counted as total protein foods

2

Includes fruit juice

3

Includes all forms except juice

4

Includes all milk products and derivatives

5

Beans and peas included when the total protein foods standards was not met

6

Includes seafood, nuts, seeds, and soy products; also beans and peas counted as total protein foods

7

Ratio of Polyunsaturated fatty acids and monounsaturated fatty acids to saturated fatty acids

8

Calories from solid fats and added sugars

a

Regressed mean and Standard Error (SE) adjusted to control for cluster effect at the school and child level; as well as child age, sex and BMI

Significant at the

*

p<0.05;

**

p<0.001;

***

p<0.0001

Dietary quality of food items per type of accompanying beverage

After excluding the nutrient content of the beverages, HEI-2010 total scores for lunches differed significantly by beverage type. HEI-2010 total score for the food items of lunches packed with fruit drink (50.6) were significantly lower than the HEI-2010 total score for the food items in lunches packed with milk (56.5), and those that included plain water (53.2). Similarly, after removing the nutrient content of the beverages, the food items of lunches that contained milk had significantly higher HEI-2010 scores (5.5 point increase) than those that contained flavored milk.

After excluding the nutrient content of the beverages, there was no significant difference between the HEI-2010 total scores of lunches that contained fruit drinks compared to those that contained 100% fruit juice. After omitting the nutrient contribution of the beverage to each lunch, the effect of beverage type based on an F-test of overall significance, persisted for total vegetables, and empty calories only. Food items in lunches packed with a fruit drink had significantly lower scores for the HEI-2010 total vegetable component (1.5/5) compared to lunches packed with milk (2.0/5) or plain water (1.9/5).

DISCUSSION

The objective of this study was to quantify the impact that beverage selection has on the dietary quality of parent-packed preschool lunches, evaluated using HEI-2010 total and component scores. More than half of the meals packed included a beverage other than plain water. The mean volume of 100% fruit juice packed was 9 ml over the AAP recommendation of 127 ml per day,18 which could be appropriate assuming that these preschoolers only consume 100% fruit juice at the ECE center.

Making a simple change of beverages with added sugar for healthier alternatives (e.g., plain milk instead of flavored milk) could have decreased the added sugar content of at least a third of the lunches analyzed. At a mean serving of 225 ml, fruit drinks had 21 g of sugars, 78% of which were added sugars. One hundred percent fruit juice, found in 14% of meals, included 20 g of sugars, 99% of which are naturally occurring in fruit. The same comparison could be made with milk and flavored milk, although only 4% of lunches included the latter. Moreover, the substitution of beverages with healthier alternatives would increase the dietary quality (HEI-2010 total scores) of the meal by 8.3% when substituting fruit drinks with 100% fruit juice and by 6.1% when substituting flavored milk with plain milk. As many as 12 million children (61%) spend an average of 33 hours per week in out of the home care32,33 where they consume two or more meals and snacks and receive 50–67% of their daily energy requirements.34 Therefore, the type of food sent from home has an impact on preschooler’s overall diets regardless of the meals offered at home.

Beverage selection was associated with the overall dietary quality of the lunches that parents packed for their preschool child. Without taking into account the nutrient composition of the beverages, foods in lunches packed with plain milk as a beverage had a HEI-2010 score that was 5.5% higher compared to lunches packed with flavored milk. There was no significant difference between the HEI-2010 total scores of meals packed with fruit drinks compared to those packed with 100% fruit juice. It is noteworthy that parents who packed plain milk also packed lunches that were 4.7% and 5.9% higher in dietary quality measured with the HEI (without taking into account the nutrient composition of drinks) than those who packed 100% fruit juice and fruit drinks, respectively.

Findings from the present study suggest that parents who packed flavored milk provided foods with lower dietary quality compared to those who packed plain milk, whereas the dietary quality of foods packed by parents who packed fruit drinks did not differ from those packed by parents who offered 100% fruit juice. One potential explanation for this finding is that parents are confused about the dietary advantages of 100% fruit juice, or that they bought fruit drinks thinking they were 100% fruit juice. Beverages may be indicators of differences in sweet preference, where 100% fruit juice would be like fruit drinks, but flavored milk sweeter than plain milk. This would suggest that 100% fruit juice consumption contributes to preferences for sweet flavors. As these questions were beyond the scope of this study to assess, more research is necessary to determine if parents of preschool children can differentiate between fruit drinks and 100% fruit juice while grocery shopping, and to examine the factors influencing their purchasing decisions.

Several methodological limitations should be noted. Water consumption was not recorded consistently because ECE centers provided water when no beverage was packed; therefore, packing of water was not part of the analysis. Although observers were thoroughly trained to accurately categorize and record foods and data were cleaned meticulously, there is likely a small amount of non-systematic error in the coding of fat content due to beverages in these analyses. Refrigerator access at ECE centers was not evaluated therefore results were not adjusted for refrigeration which could impact provision of dairy. Due to the nature of this study, the sample is highly educated with high income; nevertheless, the most frequently packed beverages were sugary drinks and the dietary quality of the lunches was subpar. Finally, some ECE center policies banned sugary drinks as beverage selections but those policies were not consistently applied to fruit drinks; we hypothesize that teachers were not aware of the differences between fruit drinks and 100% fruit juice.

Strengths of the study include the use of the HEI-2010 to provide a consistent measure of dietary quality, the large sample size, and the use of a validated observation methodology. The use of the HEI-2010 provided advantages for evaluating the dietary quality of preschoolers’ packed lunches.32 The HEI controls for energy of packed lunches because all components are scored in terms of 1,000 kcals and the HEI provides an objective measurement of dietary quality with a score from 0–100 with 100 indicating the highest dietary quality. The sample size for this analysis was robust, with a final sample of 607 children. Finally, the observation methodology used has been validated26 and research staff were trained and certified before the observations of packed lunches took place.

CONCLUSIONS

Lunches sent with preschool children to ECE centers differ in dietary quality by the type of beverage packed, and these differences hold even when the lunch is analyzed without the nutrient content of the beverage included. ECE providers that wish to improve the dietary quality of parent-packed lunches can educate parents about the difference and health consequences of drinks with added sugars. More research is warranted to examine whether packing milk as a beverage may be a ‘marker food’ for a healthier lunch. It will be informative for future work to examine whether parents who select plain milk as a beverage for their child’s packed lunches have increased knowledge and/or skills to select more nutritious foods for their preschool children. Contrary to research on beverage patterns and dietary quality, parents who packed fruit drinks did not pack lunch items with significantly less dietary quality than parents who packed 100% fruit juice. ECE center directors, teachers and parents could benefit from knowledge on how to differentiate fruit drinks from 100% fruit juice, advocates and policy makers could aid by establishing guidance to industry on how to identify and market these two different products. Additional research is warranted to increase the understanding of parental beverage selections for their young children and to develop strategies to help parent pack healthier lunches.

RESEARCH SNAPSHOT.

Research Question

Is the dietary quality of the beverage packed by parents in preschoolers’ lunches consistent with the dietary quality of the rest of the food items packed?

Key Findings

Lunches differed in dietary quality by the type of beverage packed, and these differences held even when the lunch was analyzed without the nutrient content of the beverage. More research is warranted to examine whether packing milk may be a ‘marker food’ for a healthier lunch. Contrary to research on beverage patterns and dietary quality, parents who packed fruit drinks did not pack lunch items with significantly less dietary quality than parents who packed 100% fruit juice

Acknowledgments

Funding for this study was made possible by the National Cancer Institute (National Cancer Institute/NIH Grant R01CA149643) and the Michael and Susan Dell Foundation through the Michael and Susan Dell Center for Healthy Living. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute, the National Institutes of Health, or the Michael and Susan Dell Foundation. The Clinical Trials Number is NCT001292434

Footnotes

Conflict of interest disclosures: Authors do not have any conflicts of interest to disclose.

Author contributions:

M.J.R.-P., N.R., S.J.S., C.R.-G., C.E.B.-W., M.E.B., and D.M.H. designed the research. M.J.R-P. and S.J.S. conducted the research. M.J.R.-P. and N.R. analyzed the data or performed statistical analysis. M.J.R.-P. and N.R. wrote the article. M.J.R.-P. had primary responsibility for the final content. All authors read and approved the final article.

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Maria Jose Romo-Palafox, Postdoctoral Fellow, UConn Rudd Center for Food Policy & Obesity, University of Connecticut, One Constitution Plaza, Suite 600, Hartford, CT 06103.

Nalini Ranjit, Associate Professor, Health Promotion/Behavioral Sciences, Michael & Susan Dell Center for Healthy Living, University of Texas School of Public Health Austin Regional Campus, 1616 Guadalupe Street, Suite 6.300, Austin, TX 78701.

Sara J Sweitzer, Lecturer, DPD Program Director, Nutritional Sciences, School of Human Ecology, The University of Texas at Austin, 1 University Station, A2700, Austin, TX 78712.

Cindy Roberts-Gray, Program Evaluation Specialist, Third Coast R&D, Inc, 2728 Ave Q, Galveston, TX 77550.

Courtney E. Byrd-Williams, Assistant, Department of Health Promotion/Behavioral Sciences, Michael & Susan Dell Center for Health Living, University of Texas School of Public Health Austin Regional Campus, 1616 Guadalupe Street, 6.300, Austin, TX 78701.

Margaret E. Briley, Professor, Nutritional Sciences, School of Human Ecology, The University of Texas at Austin, Austin, Texas 78746.

Deanna M. Hoelscher, Director, Michael & Susan Dell Center for Healthy Living, John P. McGovern Professor in Health Promotion, Department of Health Promotion/Behavioral Sciences, University of Texas School of Public Health Austin Regional Campus, 1616 Guadalupe Street, 6.300, Austin, TX 78701.

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