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Abstract

Objectives: To evaluate National School Lunch Program (NSLP) and School Breakfast Program (SBP) participation over a 7-year period before and after the implementation of the 2010 Healthy, Hunger-Free Kids Act (HHFKA), which required healthier school lunch options beginning in school year (SY) 2012-2013 and healthier school breakfast options beginning in SY2013-2014. Methods: Data were gathered from low-income, high-minority public schools in 4 New Jersey cities. We conducted longitudinal analyses of annual average daily participation (ADP) in school meals among enrolled students overall and among those eligible for free or reduced-price meals. We used linear mixed models to compare NSLP and SBP participation rates from SY2008-2009 to SY2014-2015. Results: NSLP participation rates among students overall differed little across years (from 70% to 72%). SBP rates among enrolled students were stable from the beginning of the study period to SY2013-2014 and then increased from 52% to 59%. Among students eligible for free or reduced-price meals, the ADP was lowest in SY2012-2013 (when the HHFKA was implemented) before rebounding. Conclusions: The HHFKA did not have a negative impact on school meal participation over time. Public Health Implications. The HHFKA-strengthened nutrition standards have not affected school meal participation rates. With time, students are likely to accept healthier options. (Am J Public Health. Published online ahead of print November 21, 2017: e1-e3. doi:10.2105/AJPH.2017.304102).
Impact of the 2010 US Healthy, Hunger-Free Kids
Act on School Breakfast and Lunch Participation
Rates Between 2008 and 2015
Nicole Vaudrin, MS, RD, Kristen Lloyd, MPH, Michael J. Yedidia, PhD, MPH, Michael Todd, PhD, and Punam Ohri-Vachaspati, PhD, RD
Objectives. To evaluate National School Lunch Program (NSLP) and School Breakfast
Program (SBP) participation over a 7-year period before and after the implementation of
the 2010 Healthy, Hunger-Free Kids Act (HHFKA), which required healthier school lunch
options beginning in school year (SY) 20122013 and healthier school breakfast options
beginning in SY20132014.
Methods. Data were gathered from low-income, high-minority public schools in 4 New
Jersey cities. We conducted longitudinal analyses of annual average daily participation
(ADP) in school meals among enrolled students overall and among those eligible for free
or reduced-price meals. We used linear mixed models to compare NSLP and SBP par-
ticipation rates from SY20082009 to SY20142015.
Results. NSLP participation rates among students overall differed little across years
(from 70% to 72%). SBP rates among enrolled students were stable from the beginning
of the study period to SY20132014 and then increased from 52% to 59%. Among
students eligible for free or reduced-price meals, the ADP was lowest in SY20122013
(when the HHFKA was implemented) before rebounding.
Conclusions. The HHFKA did not have a negative impact on school meal participation
over time.
Public Health Implications. The HHFKA-strengthened nutrition standards have
not affected school meal participation rates. With time, students are likely to
accept healthier options. (Am J Public Health. Published online ahead of print No-
vember 21, 2017: e1e3. doi:10.2105/AJPH.2017.304102)
The 2010 Healthy, Hunger-Free Kids Act
(Public Law 111-296; HHFKA) aligned
National School Lunch Program (NSLP)
and School Breakfast Program (SBP) re-
quirements with the Dietary Guidelines for
Americans. New NSLP meal patterns, im-
plemented in school year (SY) 20122013,
included more fruits, vegetables, and whole
grains and a gradual reduction in sodium
content. Similar SBP standards were imple-
mented during the following year (SY2013
2014).
1
Additional requirements came into
effect in SY20142015, as well as smart snacks
standards for food and beverages sold outside
of school meal programs.
2
Further changes in
the requirements are ongoing.
1
The acceptability of new meal offerings
has been evaluated in short-term longitudinal
and cross-sectional analyses.
26
According
to qualitative results, school administrators
andfoodserviceworkersperceivethat,
although students initially complained,
consumption patterns have not changed
signicantly.
3
In only 2 studies were
participationdatausedtoexaminethe
HHFKAs impact on school lunch par-
ticipation, and neither of these inves-
tigations assessed effects on the SBP,
4,5
a program that has been historically
underused.
7
In a study conducted in middle and
high schools in 11 Massachusetts school dis-
tricts, Cohen et al. found no signicant
differences in NSLP participation rates 1 year
before and 1 and 2 years after the imple-
mentation of the HHFKA among students
overall and among those receiving free
meals.
4
Using a small sample (n = 6) of
Washington State schools from a single
district, Johnson et al. evaluated NSLP
participation via meal production records
16 months before and 15 months after
implementation of the HHFKA and saw
a 1% decrease in participation among mid-
dle and high school students.
5
The relatively
narrow time frames of these studies may
be inadequate to capture changes in re-
sponse to the new regulations.
6
It is likely
that schools began making changes when
the HHFKA passed (2010) or when the
US Department of Agriculturespro-
posed ruling was issued (2011), before
the actual implementation of the
standards.
8
In this study, we used school meal par-
ticipation data over a 7-year period from
SY20082009 to SY20142015 (4 years
before and 3 years after HHFKA imple-
mentation) to analyze NSLP and SBP par-
ticipation rates in low-income, high-minority
kindergarten through grade 12 schools. Our
aim was to assess the impact of the legislation
on changes in these rates.
ABOUT THE AUTHORS
Nicole Vaudrin and Punam Ohri-Vachaspati are with the School of Nutrition and Health Promotion, Arizona State University,
Phoenix. Kristen Lloyd and Michael J. Yedidia are with the Rutgers Center for State Health Policy, New Brunswick, NJ.
Michael Todd is with the College of Nursing and Health Innovation, Arizona State University.
Correspondence should be sent to Punam Ohri-Vachaspati, PhD, RD, School of Nutrition and Health Promotion, Arizona State
University, 500 N 3rd St, Phoenix, AZ 85001 (e-mail: pohrivac@asu.edu). Reprints can be ordered at http://www.ajph.org by
clicking the Reprintslink.
This article was accepted August 16, 2017.
doi: 10.2105/AJPH.2017.304102
Published online ahead of print November 21, 2017 AJPH Vaudrin et al. Peer Reviewed Research and Practice e1
AJPH RESEARCH AND PRACTICE
METHODS
A longitudinal analysis of annual average
daily participation (ADP) in school meals was
conducted as part of the New Jersey Child
Health Study. Public schools located in 4
urban, low-income, high-minority New
Jersey cities (Camden, New Brunswick,
Newark, and Trenton) were evaluated. Each
of the cities has one public school district.
Data were gathered from the National Center
for Education Statistics and the New Jersey
Department of Agriculture. Schools were
excluded if they were missing either de-
mographic or school meal participation data
(exclusions made up less than 5% of the
original sample during each year). Numbers
of schools included varied across years as
a result of closings, openings, and recon-
gurations; 139 were included in SY2008
2009, 137 in SY20092010, 134 in
SY20102011, 131 in SY20112012, 127 in
SY20122013 (one of these schools did not
report SBP participation rates), 127 in
SY20132014, and 119 in SY20142015.
We divided ADP counts according to
payment type (full price, reduced price, free,
and total), obtained from the New Jersey
Department of Agriculture, by total school
enrollments to calculate NSLP and SBP
participation rates. We calculated participa-
tion rates among students eligible for free
or reduced-price meals, students paying full
price, and all enrolled students.
Annual school demographic data obtained
from the National Center for Education Sta-
tistics included percentages of students of
different races, percentages eligible for free or
reduced-price meals, and school grade levels.
ADP rates were square transformed to reduce
skewness. We used linear mixed models in
SPSS version 23 (SPSS Inc, Chicago, IL) to
compare repeated observations of meal par-
ticipation rates clustered within schools (that
were in turn clustered within cities) and ex-
amine pairwise between-year differences in
school meal participation rates after adjustment
for school level (elementary, middle, or high).
Models were run for all payment categories.
We back transformed estimated mean partic-
ipation rates (calculated from models in-
corporating square-transformed ADP rates) by
taking the square roots of the estimates.
RESULTS
Most of the schools were elementary
schools (75%), and students were primarily
of minority (52% Black and 43% Hispanic)
and low-income (81% eligible for free or
reduced-price meals) backgrounds. Across the
study period, ADP rates for the NSLP and the
SBP were 71% and 54%, respectively.
Comparisons of each study year with
SY20082009 (the base year) showed that
there were no signicant differences in
model-adjusted NSLP participation rates
among all enrolled students overall (Figure 1).
Although there were statistically signicant
differences when the various study years were
compared with one another, mean partici-
pation rates differed only slightly, ranging
from 70% to 72%.
The lowest NSLP participation rate (69%)
among students eligible for free or reduced-
price meals was in SY20122013, the school
year the HHFKA lunch standards were
implemented; after model adjustment, this
rate was signicantly (P<.001) lower than the
rates in both SY20112012 and SY2013
2014. Participation rates in all of the other
40
50
60
70
80
90
2008–2009 2009–2010 2010–2011 2011–2012 2012–2013 2013–2014 2014–2015
Annual Average Daily
Participation Rate, %
School Year
............................................................... ............
Implementation of the HHFKA
NSLP
SBP
64%*
73%*
69%
71%
72%
77%*
70%
82%*
71%
73%*
71%
60%*
59%*
47%
52%
55%*
52%
56%*
50%
49%
52%
49%
52%
73%*
71%
70%
59%*
71%
NSLP all students NSLP free & reduced SBP all students SBP free & reduced
*P<.05 for differences between base year (20082009) and subsequent years.
Note. HHFKA = Healthy, Hunger-Free Kids Act. Mean participation rates presented are adjusted for clustering within schools and schools clustered within cities. Models
included school level (elementary, middle, and high) as a xed effect.
FIGURE 1Annual Average Adjusted National School Lunch Program (NSLP) and School Breakfast Program (SBP) Daily Participation Rates: 4
New Jersey Cities, School Years 20082009 to 20142015
AJPH RESEARCH AND PRACTICE
e2 Research and Practice Peer Reviewed Vaudrin et al. AJPH Published online ahead of print November 21, 2017
study years (73% in SY20092010, 82% in
SY20102011, 77% in SY20112012, and
73% in both SY20132014 and SY2014
2015) were signicantly higher (P<.05) than
the rate in SY20082009 (71%) according to
linear mixed-model comparisons.
Model-adjusted SBP participation rates
among students overall were not signicantly
different (P<.05) from those of the base year
(52%) until SY20132014. Rates climbed to
59% in SY20132014 and 60% in SY2014
2015 (P<.01; Figure 1). Differences were
most pronounced among students eligible
for free or reduced-price meals, who exhibited
an increase in participation from 49% in
SY20082009 to 59% in SY20132014 and
64% in SY20142015. Similar to the NSLP,
there was a dip in SBP participation during
SY20122013 (47%), when the rate was
signicantly (P<.001) lower than in either
SY20112012 or SY20132014.
DISCUSSION
In this study, we evaluated changes in
school meal participation in low-income,
primarily minority urban schools in New
Jersey over 7 years spanning the period before
and after the alterations in school meal
standards implemented under the HHFKA.
There were no meaningful changes in NSLP
participation rates among students overall.
Among students eligible for free or reduced-
price meals, NSLP participation rates
were high during the recession (20082012)
and then dropped to their lowest levels
when the HHFKA was rst implemented in
SY20122013 before rebounding in sub-
sequent years. National data also show in-
creased NSLP participation among students
eligible for free or reduced-price meals during
the recession.
9
As noted, 2 studies examining school meal
participation, one focusing on participation
rates
4
and the other on production records as
a proxy for meal participation,
5
did not reveal
any signicant differences among students
overall
4,5
or among students receiving free
meals.
4
The SY20122013 drop in our data
may suggest an initial lack of acceptance of the
new meal standards, particularly among stu-
dents eligible for free or reduced-price meals.
However, with continued student exposure
to healthy meals, the rates rebounded in
SY20132014 and continued to increase in
SY20142015. Also, as shown in previous
research, the implementation of smart snacks
standards in SY20142015 may have affected
NSLP participation rates.
10
The higher NSLP participation rates ob-
served in our study relative to the Cohen
et al.
4
and Johnson et al.
5
studies may be
attributable to the higher percentage of stu-
dents eligible for free or reduced-price meals
(81%) than in those 2 investigations (32% and
52%, respectively). Nationally, meal partici-
pation rates are higher among students eligible
for free or reduced-price meals than among
noneligible students.
11
SBP participation rates among students
overall remained relatively unchanged until
SY20132014, when they increased by 7
percentage points. Nationally, SBP partici-
pation among students eligible for free or
reduced-price meals increased after the
HHFKAs school breakfast provisions
were implemented, and the increase in
New Jersey schools was among the highest.
7
A key feature of the HHFKA, the com-
munity eligibility provision, allows schools
with high poverty rates to offer free meals to
all students.
12
None of the schools in our
sample participated in universal free meals
before SY20142015, when 27 schools
reported providing only free meals to all
students. Participation in the community
eligibility provision and alternative breakfast
promotion projects (e.g., breakfast after the
bell programs), which have been used in all 4
of the study cities since at least SY20132014,
may have contributed to the increase in SBP
participation rates.
Overall, our results are consistent with
those of previous studies indicating that,
contrary to controversial media reports on
reactions to the new standards, the effects
of the HHFKA on school meal acceptance
and participation are minimal. With time,
students are likely to accept healthier
options.
CONTRIBUTORS
N. Vaudrin conducted the analysis and wrote the rst
draft. K. Lloyd contributed to the analysis and to the
development of the article. M. J. Yedidia conceptualized
the study and contributed to the interpretation of the
ndings and the development of the article. M. Todd
contributed to the data analysis and to the development of
the article. P. Ohri-Vachaspati conceptualized the study,
procured the data, and contributed to the analysis and the
development of the article.
ACKNOWLEDGMENTS
Funding for this project was provided by a grant from
the Robert Wood Johnson Foundation and the Eunice
Kennedy Shriver National Institute of Child Health
and Human Development (1R01HD071583-01A1).
HUMAN PARTICIPANT PROTECTION
This study was approved by the institutional review boards
of Arizona State University and Rutgers University.
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AJPH RESEARCH AND PRACTICE
Published online ahead of print November 21, 2017 AJPH Vaudrin et al. Peer Reviewed Research and Practice e3
... Studies examined breakfast participation (n ¼ 16), 17,25-39 lunch participation (n ¼ 14), [40][41][42][43][44][45][46][47][48][49][50][51][52][53] or both (n ¼ 4) 54-57 (Table 1). Studies differed in terms of the study designs (randomized controlled trial, 17,31,35,37 quasi-experimental with 25,27,29,38,42,48,[52][53][54][55] and without comparison groups, 28,30,33,34,36,41,[43][44][45][46][47]49,50,56,57 and cross-sectional 26,32,39,40,51 ) and by the level of analyses (student, 17,26,[31][32][33]37,39,45,46 school, 17,25,[27][28][29][30][31][34][35][36]38,[40][41][42][44][45][46][49][50][51][53][54][55][56][57] 27,41,43,44,[47][48][49]54 and 7 did not specify school level. 29,32,38,39,52,55,57 Most articles used administrative data to assess the outcome measure; the remaining articles used student, parent, or administrator surveys and questionnaires (n ¼ 3), 26,46,51 observation (n ¼ 1), 30 or did not specify the data source (n ¼ 2). ...
... Studies examined breakfast participation (n ¼ 16), 17,25-39 lunch participation (n ¼ 14), [40][41][42][43][44][45][46][47][48][49][50][51][52][53] or both (n ¼ 4) 54-57 (Table 1). Studies differed in terms of the study designs (randomized controlled trial, 17,31,35,37 quasi-experimental with 25,27,29,38,42,48,[52][53][54][55] and without comparison groups, 28,30,33,34,36,41,[43][44][45][46][47]49,50,56,57 and cross-sectional 26,32,39,40,51 ) and by the level of analyses (student, 17,26,[31][32][33]37,39,45,46 school, 17,25,[27][28][29][30][31][34][35][36]38,[40][41][42][44][45][46][49][50][51][53][54][55][56][57] 27,41,43,44,[47][48][49]54 and 7 did not specify school level. 29,32,38,39,52,55,57 Most articles used administrative data to assess the outcome measure; the remaining articles used student, parent, or administrator surveys and questionnaires (n ¼ 3), 26,46,51 observation (n ¼ 1), 30 or did not specify the data source (n ¼ 2). ...
... Studies differed in terms of the study designs (randomized controlled trial, 17,31,35,37 quasi-experimental with 25,27,29,38,42,48,[52][53][54][55] and without comparison groups, 28,30,33,34,36,41,[43][44][45][46][47]49,50,56,57 and cross-sectional 26,32,39,40,51 ) and by the level of analyses (student, 17,26,[31][32][33]37,39,45,46 school, 17,25,[27][28][29][30][31][34][35][36]38,[40][41][42][44][45][46][49][50][51][53][54][55][56][57] 27,41,43,44,[47][48][49]54 and 7 did not specify school level. 29,32,38,39,52,55,57 Most articles used administrative data to assess the outcome measure; the remaining articles used student, parent, or administrator surveys and questionnaires (n ¼ 3), 26,46,51 observation (n ¼ 1), 30 or did not specify the data source (n ¼ 2). 33,36 ...
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... Additionally, one study using a nationally representative sample found boys eating school lunches post-HHFKA had lower body mass index (BMI) growth than nonparticipants [38]. Further research found that under the new guidelines, students liked the meals and ate more of them [39,40]. In a more recent study, Kenney et al. [29] tested whether the HHFKA was associated with reductions in child obesity risk over time. ...
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... Additionally, the HHFKA ushered in new nutrition regulations that rolled back some of the 1970s era changes with regard to highly processed foods and substantially improved the nutritional quality of school meals (Hecht et al., 2020;Johnson et al., 2016;Smith et al., 2016). Repeated assessments have shown that the HHFKA nutrition regulations did not have a negative effect on students' enjoyment of meals (Turner & Chaloupka, 2014) and that participation in meal programs increased (Mansfield & Saviano, 2017;Vaudrin et al., 2018). ...
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School meals provide significant access to food and nutrition for children and adolescents, particularly through universal free meal mechanisms. Alongside added nutritional meal requirements under the Healthy, Hunger-Free Kids Act (2010), schools can utilize meal program and policy mechanisms such as the Community Eligibility Provision (CEP) and Breakfast after the Bell (BATB) to increase participation. This study examines longitudinal statewide school-level CEP and BATB adoption and estimates the impact on increased free and reduced-price (FRP) breakfast participation. We find that FRP breakfast participation increased for schools that utilize both CEP and BATB (14-percentage-point increase) and that CEP-participating schools are more likely to use BATB approaches such as breakfast in the classroom, grab-and-go carts, and second-chance breakfast. Additionally, using a conditional Difference-in-Differences (DiD) approach, we find that BATB adoption accounted for a 1.4-percentage-point increase in FRP school breakfasts served (p < 0.05). Study findings can inform policy and school official decision making around the policy and program mechanisms at their disposal to increase school meal participation and student nutrition.
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School nutrition programs reach approximately 30 million American children each year and provide an ideal opportunity to improve child dietary behaviors, including food waste reduction. Yet, school nutrition programs are challenging to implement and can be difficult research settings. As such, many schools seek low-cost strategies to improve diet quality and reduce food waste. This chapter explores the role of community partnerships, using Cooperative Extension as a case study, to implement nudge interventions to improve fruit and vegetable consumption while reducing waste. In this mixed-methods study, plate waste outcomes were used to evaluate the efficacy of the nudge interventions; interviews with school nutrition staff were used to assess the implementation of the intervention that was delivered in partnership with Cooperative Extension. Nutrition services staff viewed their partnerships with Cooperative Extension as a key facilitator in implementing the interventions and reportedly may not have implemented the nudges without this collaboration. These findings underscore the importance of community partnerships to facilitate innovation in school nutrition programs.
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Importance: The prevalence of obesity among youths 2 to 19 years of age in the US from 2017 to 2018 was 19.3%; previous studies suggested that school lunch consumption was associated with increased obesity. The Healthy, Hunger-Free Kids Act of 2010 (HHFKA) strengthened nutritional standards of school-based meals. Objective: To evaluate the association between the HHFKA and youth body mass index (BMI). Design, setting, and participants: This cohort study was conducted using data from the Environmental Influences on Child Health Outcomes program, a nationwide consortium of child cohort studies, between January 2005 and March 2020. Cohorts in the US of youths aged 5 to 18 years with reported height and weight measurements were included. Exposures: Full implementation of the HHFKA. Main outcomes and measures: The main outcome was annual BMI z-score (BMIz) trends before (January 2005 to August 2016) and after (September 2016 to March 2020) implementation of the HHFKA, adjusted for self-reported race, ethnicity, maternal education, and cohort group. An interrupted time-series analysis design was used to fit generalized estimating equation regression models. Results: A total of 14 121 school-aged youths (7237 [51.3%] male; mean [SD] age at first measurement, 8.8 [3.6] years) contributing 26 205 BMI measurements were included in the study. Overall, a significant decrease was observed in the annual BMIz in the period following implementation of the HHFKA compared with prior to implementation (-0.041; 95% CI, -0.066 to -0.016). In interaction models to evaluate subgroup associations, similar trends were observed among youths 12 to 18 years of age (-0.045; 95% CI, -0.071 to -0.018) and among youths living in households with a lower annual income (-0.038; 95% CI, -0.063 to -0.013). Conclusions and relevance: In this cohort study, HHFKA implementation was associated with a significant decrease in BMIz among school-aged youths in the US. The findings suggest that school meal programs represent a key opportunity for interventions to combat the childhood obesity epidemic given the high rates of program participation and the proportion of total calories consumed through school-based meals.
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The association between the health of children and adolescents with their academic success is gaining more attention nationally. Consequently, the United States federal government has enacted policies to support environmental health improvement in schools, while health- and education-focused organizations have partnered to offer guidance in support of improved student health and well-being. Still, despite federal policy and guidance documents, schools experience many challenges to implementing school wellness initiatives. This article outlines how schools can employ their internal “health champions” with community support to improve the health education and nutrition environment needs of students.
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Importance: Implemented in 2012, the Healthy, Hunger-Free Kids Act of 2010 (HHFKA) increased nutritional requirements of the National School Lunch Program (NSLP) to reverse the potential role of the NSLP in childhood obesity. Objective: To evaluate whether associations between the free or reduced-price NSLP and body mass growth differed after implementation of the HHFKA. Design, setting, and participants: This cohort study used data from 2 nationally representative cohorts of US kindergarteners sampled in 1998 to 1999 and 2010 to 2011 and followed up for 6 years, through grade 5, in the Early Childhood Longitudinal Study Kindergarten Class of 1998-1999 (ECLS-K:1999, in 2003-2004) and Kindergarten Class of 2010-2011 (ECLS-K:2011, in 2015-2016). In total, 5958 children were selected for analysis from low-income families eligible for the free or reduced-price NSLP (household income <185% of the federal poverty level) who attended public schools and had no missing data on free or reduced-price NSLP participation or on body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) at kindergarten or grades 1 and 5. Data were analyzed from January 1 to September 7, 2021. Exposures: Cross-cohort comparison of before vs after implementation of the HHFKA for free or reduced-price NSLP participation at kindergarten and grades 1 and 5. Main outcomes and measures: Body mass index difference (BMID) from obesity threshold was the difference in BMI units from the age- and sex-specific obesity thresholds (95th percentile) and is sensitive to change at high BMI. Multigroup models by cohort included weights to balance the distribution of the 2 cohorts across a wide range of covariates. A Wald test was used to assess whether associations differed between the cohorts. Results: In the final analysis, 3388 children in ECLS-K:1999 (1696 girls [50.1%]; mean [SD] age at baseline, 74.6 [4.3] months) and 2570 children in ECLS-K:2011 (1348 males [52.5%]; mean [SD] age at baseline, 73.6 [4.2] months) were included. The best fitting model for BMID change by free or reduced-price NSLP participation across the cohorts included fixed and time-varying associations. Before HHFKA implementation, grade 5 free or reduced-price NSLP participants had higher BMID, adjusted for their prior BMID trajectory, than nonparticipants (β = 0.54; 95% CI, 0.27-0.81). After HHFKA implementation, this association was attenuated (β = -0.07; 95% CI, -0.58 to 0.45), and grade 5 associations were different across cohorts (χ21 = 4.29, P = .04). Conclusions and relevance: In this cohort study using cross-cohort comparisons, children from low-income families who participated in the free or reduced-price NSLP had a higher likelihood of progression to high BMI that was no longer observed after HHFKA implementation. This finding suggests that the HHFKA may have attenuated the previous association of the NSLP with child obesity disparities.
Article
Objective This paper identifies implementation leadership characteristics in the school nutrition setting and places findings in the context of implementation leadership literature. Methods Fourteen interviews were conducted with school district leadership/staff in an urban school district. Modified grounded theory was employed. Results Four themes emerged: (1) understanding of technical/operational intervention details; (2) ability to proactively develop and communicate plans; (3) supervisory oversight; and (4) intervention framing. Themes were consistent with 4 of the 5 dimensions comprising the Implementation Leadership Scale: knowledgeable, proactive, perseverant, and distributed leadership. The supportive domain was not a major finding. An additional domain, how leaders message the intervention to staff, was identified. Conclusions and Implications Implementation leadership in school nutrition appears similar, but not identical, to leader behaviors present in the Implementation Leadership Scale. School nutrition leaders might consider involving staff early in implementation planning, incorporating technical expertise, and clearly communicating the intervention purpose to support successful implementation. Future research might explore the interplay between leadership and implementation outcomes.
Article
Introduction: In 2012, the updated U.S. Department of Agriculture school meals standards and a competitive food law similar to the fully implemented version of the national Smart Snack standards went into effect in Massachusetts. This study evaluated the impact of these updated school meal standards and Massachusetts' comprehensive competitive food standards on school food revenues and school lunch participation. Methods: Revenue and participation data from 11 Massachusetts school districts were collected from 2011 to 2014 and analyzed in 2015 using multilevel modeling. The association between the change in compliance with the competitive food standards and revenues/participation was assessed using linear regression. Results: Schools experienced declines in school food revenues of 15.40/studentinYear1frombaseline(p=0.05),duetocompetitivefoodrevenuelosses.Inschoolswith3yearsofdata,overallrevenuesreboundedbythesecondyearpostimplementation.Additionally,byYear2,schoollunchparticipationincreasedby1515.40/student in Year 1 from baseline (p=0.05), due to competitive food revenue losses. In schools with 3 years of data, overall revenues rebounded by the second year post-implementation. Additionally, by Year 2, school lunch participation increased by 15% (p=0.0006) among children eligible for reduced-price meals. Better competitive food compliance was inversely associated with school food revenues in the first year only; an absolute change in compliance by 10% was associated with a 9.78/student decrease in food revenues over the entire school year (p=0.04). No association was seen between the change in compliance and school meal participation. Conclusions: Schools experienced initial revenue losses after implementation of the standards, yet longer-term school food revenues were not impacted and school meal participation increased among children eligible for reduced-price meals. Weakening the school meal or competitive food guidelines based on revenue concerns appears unwarranted.
Article
This final rule updates the meal patterns and nutrition standards for the National School Lunch and School Breakfast Programs to align them with the Dietary Guidelines for Americans. This rule requires most schools to increase the availability of fruits, vegetables, whole grains, and fat-free and low-fat fluid milk in school meals; reduce the levels of sodium, saturated fat and trans fat in meals; and meet the nutrition needs of school children within their calorie requirements. These improvements to the school meal programs, largely based on recommendations made by the Institute of Medicine of the National Academies, are expected to enhance the diet and health of school children, and help mitigate the childhood obesity trend.
Article
Importance Effective policies have potential to improve diet and reduce obesity. School food policies reach most children in the United States.Objective To assess the nutritional quality of foods chosen by students and meal participation rates before and after the implementation of new school meal standards authorized through the Healthy Hunger-Free Kids Act.Design, Setting, and Participants This descriptive, longitudinal study examined changes in the nutritional quality of 1 741 630 school meals at 3 middle schools and 3 high schools in an urban school district in Washington state. Seventy two hundred students are enrolled in the district; 54% are eligible for free and reduced-price meals. Student food selection data were collected daily from January 2011 through January 2014 during the 16 months prior to and the 15 months after implementation of the Healthy Hunger-Free Kids Act. Exposure The Healthy Hunger-Free Kids Act.Main Outcomes and Measures Nutritional quality was assessed by calculating monthly mean adequacy ratio and energy density of the foods selected by students each day. Six nutrients were included in the mean adequacy ratio calculations: calcium, vitamin C, vitamin A, iron, fiber, and protein. Monthly school meal participation was calculated as the mean number of daily meals served divided by student enrollment. Mean monthly values of mean adequacy ratio, energy density, and participation were compared before and after policy implementation.Results After implementation of the Healthy Hunger-Free Kids Act, change was associated with significant improvement in the nutritional quality of foods chosen by students, as measured by increased mean adequacy ratio from a mean of 58.7 (range, 49.6-63.1) prior to policy implementation to 75.6 (range, 68.7-81.8) after policy implementation and decreased energy density from a mean of 1.65 (range, 1.53-1.82) to 1.44 (range, 1.29-1.61), respectively. There was negligible difference in student meal participation following implementation of the new meal standards with 47% meal participation (range, 40.4%-49.5%) meal participation prior to the implemented policy and 46% participation (range, 39.1%-48.2%) afterward.Conclusions and Relevance Food policy in the form of improved nutrition standards was associated with the selection of foods that are higher in nutrients that are of importance in adolescence and lower in energy density. Implementation of the new meal standards was not associated with a negative effect on student meal participation. In this district, meal standards effectively changed the quality of foods selected by children.
Article
Background: Salad bars have been promoted as a strategy for increasing fruit and vegetable consumption in schools. Objective: To examine school-level resources and programs associated with the presence of salad bars in elementary schools and to assess whether there were differential changes in salad bar prevalence based on school-level resources and programs before and after the new US Department of Agriculture schools meals standards were proposed (January 2011) and implemented (July 2012). Design: Repeated cross-sectional design. Data were collected annually between 2006-2007 and 2013. Setting: Nationally representative sample of 3,956 elementary schools participating in the National School Lunch Program. School personnel (ie, administrators and foodservice staff) provided data using a mail-back survey. Measures: Presence of salad bars in school was the primary outcome variable. School-level programs and resources were investigated as independent variables. Statistical analysis: Weighted logistic regression analyses examined associations between dependent and independent variables controlling for school demographic characteristics. Results: Prevalence of salad bars increased significantly from 17.1% in 2006-2007 to 29.6% in 2012-2013. The prevalence of salad bars was significantly higher among schools that participated in the Team Nutrition program (odds ratio [OR] 1.37, 95% CI 1.10 to 1.70), the Fresh Fruit and Vegetable Program (OR 1.48, 95% CI 1.13 to 1.95), a Farm to School program (OR 1.77, 95% CI 1.36 to 2.33), and where school meals were provided by a foodservice management company (OR 1.46, 95% CI 1.08 to 1.97). No association was found for schools with full-service kitchen, school gardens, those offering nutrition education, or those with dietitians/nutritionists on staff. Conclusions: Prevalence of salad bars increased significantly after the US Department of Agriculture school meal guidelines were proposed and implemented. It is likely that schools are using salad bars to offer a variety of fruits and vegetables to students, and schools with greater numbers of school-level resources and programs are better positioned for having salad bars.
Article
Background: Updated standards for meals sold through the USDA's National School Lunch Program took effect at the beginning of the 2012-2013 school year. The current study assessed the perceptions of school staff regarding student reactions to these changes in school lunches and how perceptions varied across schools. Methods: Mailback surveys were gathered from administrators and food service staff at a nationally representative sample of 557 US public elementary schools in the second half of the 2012-2013 school year. Results: Half of the respondents (56.4%) agreed that students complained about the meals at first, but 70% agreed that students like the new lunches. Perceived student complaints were significantly higher among respondents from rural schools (n=184) than from urban (n=127) or suburban (n=171) schools. Respondents at rural schools also were more likely to report that they perceived that fewer students were purchasing the meals and that students were consuming less of the meals than during the previous year. Perceived student complaints were higher at schools not offering regular (i.e., higher-fat) pizza. Respondents at socioeconomically disadvantaged schools (>66% of students eligible for free/reduced-priced meals) perceived that more students were buying lunch and that students were eating more of the meal than in the previous year. Conclusions: Perceptions of school personnel suggest reasonable acceptance of school lunches subsequent to revisions. Given the importance of offering healthful foods at school, the revised USDA meals standards are a promising strategy to improve the diets of children.
Article
Objectives: We analyzed the impact of Connecticut legislation incentivizing voluntary school district-level elimination of unhealthy competitive foods on National School Lunch Program (NSLP) participation. Methods: We analyzed data on free, reduced, and paid participation in the NSLP from 904 schools within 154 Connecticut school districts from the 2004-2005 to the 2009-2010 school year, resulting in 5064 observations of annual school-level meal participation. We used multilevel regression modeling techniques to estimate the impact of the state competitive food legislation on the count of NSLP lunches served per student in each school. Results: Overall, the state statute was associated with an increase in school lunch participation. We observed increases between 7% and 23% for middle- and high-school meal programs, and a slight decrease of 2.5% for the elementary school free meal eligibility category, leading to an estimated revenue increase of roughly $30 000 for an average school district per school year. Conclusions: This study provides support for national implementation of proposed rigorous competitive food standards that can improve the health of students while supporting local school district finances.
Healthier standards for school meals and snacks: impact on school food revenues and lunch participation rates
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Cohen JF, Gorski MT, Hoffman JA, et al. Healthier standards for school meals and snacks: impact on school food revenues and lunch participation rates. Am J Prev Med. 2016;51(4):485-492.
Nutrition standards in the National School Lunch and School Breakfast Programs: proposed rule
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School breakfast scorecard: 2013-2014 school year. Available at: http:// frac.org/wp-content/uploads/School_Breakfast_ Scorecard_SY_2013_2014.pdf
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Food Research and Action Center. School breakfast scorecard: 2013-2014 school year. Available at: http:// frac.org/wp-content/uploads/School_Breakfast_ Scorecard_SY_2013_2014.pdf. Accessed September 4, 2017.
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