Title: 36x60 poster template
1Are family meal patterns associated with overall
diet quality during the transition from early to
middle adolescence? Teri L. Burgess-Champoux,
PhD, RD, LD Nicole I. Larson, MPH, RD Dianne
Neumark-Sztainer, PhD, MPH, RD Peter J. Hannan,
MStat and Mary Story, PhD, RD Division of
Epidemiology and Community Health, School of
Public Health University of Minnesota
BACKGROUND
RESULTS
CONCLUSIONS
- Adolescence
- Energy and nutrient needs elevated to meet needs
for rapid physical growth and development. - Adolescent dietary intakes of fruits, vegetables,
whole grains, and calcium-rich foods were below
the recommended levels for both males and females
(NHANES, 1999-2002 Cook and Friday, 2004). - Poor intakes of fiber, potassium, magnesium, and
vitamins A and E were also identified as
potential problems for this age group (Moshfegh
et al. 2005). - Family meals
- Cross-sectional studies have shown that eating
frequent family meals is positively associated
with enhanced diet quality for adolescents
(Neumark-Sztainer et al. 2003 Gillman et al.
2000). - Present study extends and builds upon previous
cross-sectional research.
- Key Findings
- Continuity of regular family meals for males and
females during the transition from early to
middle adolescence was as follows None (32.2,
n215), Time 1 only (37.8, n252), Time 2 only
(8, n53), and at both Time 1 and Time 2 (22.1,
n149). - Continuity of regular family meals was positively
associated with mean daily intakes of vegetables,
calcium-rich foods, calcium, magnesium,
potassium, iron, zinc, vitamin B-6, folate, and
fiber for both male and female adolescents at
Time 2 (plt0.05) (data not shown). - Time 2 mean daily intakes of fruits, vegetables,
whole grains, potassium, magnesium, vitamin E,
and fiber were below the recommended levels for
both genders across categories of regular family
meals (data not shown).
- Adolescents who participated in regular family
meals reported healthier diets and meal patterns
compared to adolescents without regular family
meals. - Our findings are consistent with previous
cross-sectional studies and extend these findings
due to the longitudinal design. - Study limitations
- Use of self-reported data which are susceptible
to social desirability bias. - Limitations of the food frequency questionnaire
to accurately assess dietary intake. - Reduced representativeness resulting from
non-response at Time 2. - Observational study therefore, unable to
establish causality.
RESEARCH QUESTIONS AND STUDY HYPOTHESIS
IMPLICATIONS FOR FUTURE RESEARCH AND PRACTICE
- Research Questions
- Do family meal patterns during early adolescence
(middle school) predict diet quality five years
later in middle (high school) adolescence? - Do family meal patterns during early adolescence
(middle school) predict meal patterns (e.g. meal
frequency) five years later in middle (high
school) adolescence? - Hypothesis
- We hypothesized that adolescents who had
consistent family meals during early to middle
adolescence would have better overall diet
quality and eating patterns at follow-up compared
to adolescents who did not have regular family
meals.
- Regular family meals during the transition from
early to middle adolescence contribute to the
formation of future healthy eating habits and may
shape recommendations to parents, healthcare
providers, and educators regarding the importance
of shared mealtime experiences. - Disseminating information regarding mealtime
strategies, the development of food preparation
skills for parent and child, and the provision of
simple, healthy recipes are key ingredients which
may help promote family meals. - Future research should investigate the various
levels of influence (i.e. community, school,
family, and individual) which effect the
provision of regular family meals.
METHODS AND STUDY DESIGN
REFERENCES
- Project EAT (Eating Among Teens) I and II
- Study design Population-based, longitudinal
study (Ngt 2500) in middle schools and high
schools in St. Paul/Minneapolis area. - Primary aim To examine socio-environmental,
personal, and behavioral determinants of dietary
intake and weight status among adolescents. - Study sample
- n 313 (45) male, n 389 (55) female
adolescents - Mean age at Time 1 12.8 years mean age at Time
2 17.2 years - Race/ethnicity 37 White, 23 Asian, 41
African-American/Hispanic/Other - SES 16 low, 19 low-middle, 32 middle, 18
upper-middle, 15 high - Measures
- Time 1 (1998-1999), Time 2 (2003-2004)
- Classroom surveys and the Youth and Adolescent
Food Frequency Questionnaire (YAQ) (Rockett et
al. 1995). - Statistical Analyses
- Gender-stratified generalized linear modeling
across the four family meal categories adjusted
for race/ethnicity, SES, and the Time 1 outcome. - Propensity weighting for non-response bias.
-
- Cook AJ, Friday JE. Pyramid servings intakes in
the United States, 1999-2002, 1 day. Beltsville,
MDUSDA Agricultural Research Service, Community
Nutrition Research Group, CNRG Table Set 3.0. - Moshfegh A, Goldman J, Cleveland L. What We Eat
in America, NHANES 2001-2002 Usual nutrient
intakes from food compared to dietary reference
intakes. USDA Agricultural Research Service,
2005. - Neumark-Sztainer D, Hannan PJ, Story M, Croll J,
Perry C. Family meal patterns Associations with
sociodemographic characteristics and improved
dietary intake among adolescents. Journal of the
American Dietetic Association.2003103317-322. - Gillman MW, Rifas-Shiman SL, Frazier AL, Rockett
HA, Camargo CA, Field AE, Berkey CS, Colditz GA.
Familly dinner and diet quality among older
children and adolescents. Archives of Family
Medicine.20009235-240. - Rockett HR, Wolf AM, Colditz GA. Development and
reproducibility of a food frequency questionnaire
to assess diets of older children and
adolescents. Journal of the American Dietetic
Association.199595336-340.
This study was supported by Grant R40 MC 00319
(PI D. Neumark-Sztainer) from the Maternal and
Child Health Bureau (Title V, Social Security
Act), Health Resources and Services
Administration, Department of Health and Human
Services. Analyses were supported by the Bell
Institute of Health and Nutrition, General Mills
and by the Adolescent Health Protection Research
Training Program grant number T01-DP000112 (PI
L. Bearinger) from the Centers for Disease
Control and Prevention (CDC), Department of
Health and Human Services (DHHS). Its contents
are solely the responsibility of the authors and
do not necessarily represent the official views
of the CDC.
This study was supported by Grant R40 MC 00319
from the Maternal and Child Health Bureau (Title
V, Social Security Act), Health Resources and
Services Administration, Department of Health and
Human Services. Also supported in part by
Adolescent Health Protection Research Training
grant number T01-DP000112 from the Center for
Disease Control and Prevention (CDC), DHHS.