Predicting adolescents' intake of fruits and vegetables.
OBJECTIVE
To explore potential predictors of adolescents' fruit and vegetable intake by expanding on current theory and drawing from other adolescent research.


METHODS
This research reports on baseline and interim data from a school-based intervention study. Data were collected through surveys administered to students at the beginning and end of their 7th grade year.


METHODS
The students attended 16 public schools in Minnesota.


METHODS
Data were collected on 3878 students; approximately half were female and 67% were white. All students in the 7th grade cohort were invited to participate in the surveys and over 94% completed both surveys.


METHODS
Our dependent variable, fruit and vegetable intake, was assessed by a validated fruit and vegetable food frequency scale. Predictive factors assessed included parenting style, spirituality/religiosity, depressive symptoms, and other commonly assessed predictors.


METHODS
Generalized linear mixed model regression. Omnibus test of association using P <.05 is reported.


RESULTS
Subjective norms, barriers, knowledge, usual food choice, parenting style, spirituality/religiosity, and depressive symptoms were statistically significant predictors of intake. The model explained about 31% of the variance in fruit and vegetable consumption.


CONCLUSIONS
To better understand adolescents' fruit and vegetable intake, we must explore novel predictors. Our results need to be replicated, and more exploratory research in this field is needed.
Lytle
Leslie A
LA
Division of Epidemiology, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA. lytle@epi.umn.edu
Varnell
Sherri
S
Murray
David M
DM
Story
Mary
M
Perry
Cheryl
C
Birnbaum
Amanda S
AS
Kubik
Martha Y
MY
D000293:Adolescent; D000294:Adolescent Behavior; D017195:Adolescent Nutritional Physiological Phenomena; D015331:Cohort Studies; D004034:Diet Surveys; D005247:Feeding Behavior; D005260:Female; D005638:Fruit; D015438:Health Behavior; D006801:Humans; D016014:Linear Models; D008297:Male; D008962:Models, Theoretical; D011237:Predictive Value of Tests; D012737:Sex Factors; D012923:Social Class; D011795:Surveys and Questionnaires; D014675:Vegetables