study of the eating habits of the students attending the first 2 years at high school in italy
TRANSCRIPT
ORIGINAL ARTICLE
Study of the eating habits of the students attending the first2 years at high school in Italy
Calabrese Giorgio • Maj Monica • Testa Margherita •
Fioramonti Elisabetta • Rossi Filippo
Received: 18 July 2012 / Accepted: 11 December 2012 / Published online: 25 December 2012
� Springer-Verlag Italia 2012
Abstract The study involved 983 adolescents attending
the first 2 years at high school (14–15 years) in Bra
(Northern Italy). The research was aimed at studying the
essentials of food habits of adolescents while in school, at
home or away from home, their conditions and opinions
about body weight, about sport practice and the satisfaction
with their physical appearance. The involved students were
given a questionnaire and anthropometric measurements
were taken (weight and height). The percentage of under-
weight students was higher among female students than
males (8.45 vs. 3.93 %), while boys tended to be over-
weight more than girls (8.05 vs. 4.02 %). The only obesity
cases (n = 3) were found among boys. Female students
attending the Professional Institute have a higher BMI than
those at the Lyceum (21.97 vs. 21.03; P \ 0.05). No sig-
nificant differences in the BMI value have been found
among male students attending different schools. The
questionnaire results showed that almost half of the stu-
dents do not have breakfast at home while they prefer
coffee shops or vending machines. The BMI value of the
students, who have breakfast at home is lower than that of
the students, who almost never have breakfast (21.71 vs.
22.52; P \ 0.05). 42 % of meals are not eaten together
with the family, even if at home there is a person respon-
sible for the preparation of meals. Sport is practiced by
58.5 % of males and 42.6 % of females in a competitive
way and on a regular basis. 35 % of students are occa-
sionally satisfied with their physical appearance; 13.3 %
are never satisfied. A significant relationship can be found
between the satisfying ratio and gender: 66.2 % of males
are always or often satisfied, while 63.9 % of females are
unsatisfied or poorly satisfied.
Keywords Adolescents � Eating habits � Overweight
Introduction
Till now, several studies have been done to examine large
groups of students through adolescence focusing on the
behaviors that lead to obesity.
Neumark-Sztainer [1] found that adolescents who
reported to be on a diet at the beginning of their study
period, are three times more likely to become obese during
the following five years, compared to their peers, who were
not on a diet. These figures are true both for males and
females.
US data show the rising trend of the desire among
adolescents to lose weight: the percentage in 1999 was
43.3 % among girls, which rose to 59.4 % in 2007, 15.3 %
among boys rose to 26.1 %.
A recent study by Stice [2] examines psychological
profiles and behaviors among a group of 500 teenage girls
during a 4-year period. It was pointed out that diet
restrictions, radical weight control practices as vomiting
and appetite reducers, depressive symptoms and the per-
ceiving of parental obesity (but not consumption of high
fat foods or frequent exercise), can result in obesity.
C. Giorgio
Universita degli Studi del Piemonte Orientale ‘‘Amedeo
Avogadro’’, Via Perrone, 18, 28100 Novara, Italy
M. Monica � R. Filippo (&)
Istituto di Scienze degli alimenti e della nutrizione, Facolta di
Agraria, Universita Cattolica del Sacro Cuore, Via Emilia
Parmense 84, 29122 Piacenza, Italy
e-mail: [email protected]
T. Margherita � F. Elisabetta
Liceo Scientifico Classico Linguistico ‘‘Giolitti-Gandino’’,
Via Fratelli Carando 43, 12042 Bra, Cuneo, Italy
123
Mediterr J Nutr Metab (2013) 6:143–150
DOI 10.1007/s12349-012-0117-8
This study has also demonstrated how children obesity can
be related to the parents’ and to depression.
Eating disorders more often occur during adolescence,
characterized by major changes that affect the body, rela-
tionships with peers and families, autonomy and that can
seriously interfere with the realization of one’s life plan.
The most dangerous age is between 15- and 25 years
old, but earlier beginnings between 10-and 15 years old are
increasing [3].
The purpose of this study is to assess the excess weight
problems, eating habits and the satisfaction with their body
weight within a group of high school students aged
between 14 and 15 years.
Materials and methods
Subjects
The survey involved 1,066 adolescents aged 14 and
15 years, who are attending the first 2 years at high school
in Bra (Cuneo, Northern Italy); the survey has been carried
out through an anonymous 16 points questionnaire that was
given to students (Tables 3, 4, 5, 6, 7, 8, 9). Date of birth
and gender were also asked.
Answers have been submitted by 983 respondents, equal
to 92.21 %: 509 males and 474 females.
The low rate (7.79 %) of unsubmitted questionnaires
was mainly due to the absence of several students on the
day of the survey. All involved students and their parents
had given their informed consent to participate in the
survey.
Anthropometric measurements
Anthropometric measurements were performed during
routine physical examination organized by Italian Ministry
of Health for monitoring the health status of young stu-
dents. The subjects’ weight was obtained in light clothing
(dress or shorts T-shirt) on a scale (Seca) with precision of
100 g. Height was measured with a Martin stadiometer.
Body mass index (BMI) was calculated based on the
weight and height values, considering the values corre-
sponding to the 85th percentile of Frisancho [4] standards
the cut off points for the assessment of overweight and the
95th percentile for the evaluation of obesity. Teenagers
with BMI \ 5th percentile were classified as underweight.
Statistical analysis
The statistical analysis of the comparison between pro-
portions was carried out using the Chi square (v2) test.
Different BMI among types of school, or among students
that eat, and those who avoid eating breakfast and/or
snacks, or as a function of body satisfaction, have been
compared using Bonferroni’s test.
All statistical analyzes have been carried out using SAS
software 9.2 (SAS Inst., Cary, NC, USA).
Results
Anthropometric measurements
The average values of this investigation, related to students
attending the first 2 years at high school in Bra, refer to
14-year-old adolescents attending the first class and
15-year-old adolescents attending the second class.
Different gender does influence the value of the body
mass index (BMI), the percentage of underweight students
is higher among females than males (8.45 vs. 3.93 %,
P \ 0.05) (Table 1), while boys tend to be even more
overweight than girls of the same age (8.05 vs. 4.02 %;
P \ 0.05) (Table 1). The only obesity cases (n = 3) were
found among boys.
Different values of BMI have been found among stu-
dents attending different schools. Female students attend-
ing the Professional Institute have a higher BMI than those
at the Lyceum (21.97 vs. 21.03; P \ 0.05). No significant
differences in the BMI value have been found among male
students attending different schools (Table 2).
Table 1 Incidence of overweight and underweight in the considered
students’ population
Males Females P value
n (%) n (%)
Underweight 20 3.93 40 8.45 \0.05
Normal weight 445 87.43 415 87.53 NS
Overweight 41 8.05 19 4.02 \0.05
Obese 3 0.59 – – NS
Table 2 BMI average values among students from different schools
in Bra district
School BMI
Females n Males n
ITCG 21.38 ± 3.11ab 143 22.56 ± 2.97 140
Lyceum 21.03 ± 2.51a 191 22.16 ± 2.82 115
Professional 21.97 ± 3.11b 140 23.29 ± 3.78 97
Education – 22.75 ± 3.63 109
ITI – 22.83 ± 3.48 48
ITCG Accountancy Institute, ITI Industrial and Mechanical Institutea,b P \ 0.05
144 Mediterr J Nutr Metab (2013) 6:143–150
123
Answer to questionnaire
Only 53.7 % of the students always have breakfast at
home, with a predominance of males (58.2 vs. 48.7 %;
P \ 0.01), one-third (33.3 %) occasionally have breakfast
at home, the remaining 13.4 % never have breakfast at
home (Table 3).
Most students (62.2 %) always have a snack between
breakfast and lunch, while about one-fourth only some-
times (Table 3). Sandwiches are the most appreciated food
(55.8 %) followed by snack (25 %) and beverages
(19.2 %), males prefer sandwiches (58.4 % males vs.
53.0 % females), while females choose snack foods more
frequently (28.1 vs. 22.2 %) (data not shown).
Only 57.5 % of respondents have their meals at home, at
the same time and together with their family (Table 3).
In about 80 % of the families, there is a person
responsible for the preparation of meals, with no differ-
ences between schools (Table 3).
Subjects enrolled in the study are poorly involved in the
preparation of meals: 21 % often and 60 % sometimes.
Girls are more involved in the preparation of meals than
boys: 28.5 % often help in the kitchen, while only 14.3 %
of the boys do so (P \ 0.01). The results are opposite for
students, who never help in the kitchen (24.5 % males vs.
12.9 % females; P \ 0.01) (Table 3).
Most of the students prefer traditional cuisine: 63 %.
Males prefer traditional cuisine more than females (66.0 vs.
59.9 %) (Table 3).
TV advertising affects food choices: often (8.4 %),
sometimes (77.7 %), few of them declare to be indifferent
to TV advertising (13.8 %) (Table 3).
When considering the type of food consumed at break-
fast, 35.1 % of intervisted students drink milk, 25.4 % milk
with coffee and 1.5 % eats yogurt, on the whole, milk or
yogurt is part of the breakfast for the 62.0 % of the students
(Table 4). Biscuits are the most appreciated source of
carbohydrates being choose by almost 1 student out of 4
(24.8 %). Only 10 students eat fresh fruit (1.0 %), while
107 prefer chocolate cream (10.8 %) (Table 4).
Most adolescents watch TV while having meals
(48.0 %), only 31.50 % do not switch it on during lunch
time. The main activities during meals are watching TV
and talk with relatives, less relevant other activities
(Table 5).
Water is the most popular drink: 41.2 % tap or still
natural water and 29.1 % mineral water, soft drinks are in
third place (21.4 %). Wine is moderately popular, partic-
ularly among males (12.8 % of choices). Tap water is more
preferred by females than males (P \ 0.01), while the
Table 3 Questions to students on eating habits; results are expressed as absolute value with percentage in brackets
Question Males, n = 509 Females, n = 474
Yes (%) No (%) Sometimes
(%)
Yes (%) No (%) Sometimes
(%)
Do you have breakfast at home? 296 (58.2)* 60 (11.8) 153 (30.0) 231 (48.7)* 72 (15.2) 171 (36.1)
Do you have any snack or beverage between breakfast
and lunch?
333 (65.4) 59 (11.6) 117 (23.0) 278 (58.6) 60 (12.7) 136 (28.7)
At home, do you always eat at the same time and with
your family?
294 (57.8) 215 (42.2) – 271 (57.2) 203 (42.8) –
Is there a person responsible for the preparation of
meals?
419 (82.4) 90 (17.6) – 372 (78.5) 102 (21.5) –
Do you take part in the preparation of meals at home? 73 (14.3) 125 (24.6)** 312 (61.3) 135 (28.5)** 61 (12.9)** 278 (58.6)
Do you prefer typical dishes from your region? 336 (66.0) 173 (34.0) – 284 (59.9) 190 (40.1) –
Do you like eating products that have been advertised
on TV?
48 (9.4) 77 (15.3) 384 (75.3) 35 (7.4) 59 (12.4) 380 (80.2)
*,** Comparison male versus female (v2 test): * P \ 0.05; ** P \ 0.01
Table 4 Answers to the question: what do you eat for breakfast?
Results are expressed as absolute values, while percentage, on the
whole sample is in brackets
Food Answers (%)
Milk 345 (35.1)
Milk and coffee 250 (25.4)
Coffee 58 (5.9)
Yogurt 15 (1.5)
Tea 99 (10.1)
Fruit juice 10 (1.0)
Bread and fruit jam 66 (6.7)
Bread and honey 46 (4.7)
Bread and chocolate cream 107 (10.9)
Cookies 244 (24.8)
Sandwich 25 (2.5)
Fruit 10 (1.0)
Other 8 (0.8)
Mediterr J Nutr Metab (2013) 6:143–150 145
123
percentage of male students preferring wine is higher than
females one’s (P \ 0.05) (Table 6).
The percentage of students that are curious and not
biased towards new food is high. Males and females have
almost the same distrust–refusal attitude (22.2 and 22.4 %)
and curiosity attitude (77.8 and 77.6 %) (Table 7). The
opening to new eating experiences and the desire to learn
and to try new foods is not conditioned by gender.
Most of the students prefer eating out at pizzerias
(55.1 %), while 10.1 % prefer bars and 14.0 % fast food:
restaurants has been chosen by 20.6 % of the subjects.
Males prefer fast food (15.7 % M vs. 12.2 % F) and res-
taurants (23.2 % M vs. 17.7 % F). Females prefer pizzerias
(59.5 % F vs. 51.1 % M) and bars (10.3 % F vs. 9.8 % M)
(Table 8).
Among the opinions and beliefs about the factors that
influence body weight, almost half of the enrolled popu-
lation (49.8) believe it is eating habits and 32.9 % physical
activity (Table 9).
The genetic factors are considered the most important by
15.4 % of students, while the 2 % of cohort believe it
depends on the environment. Females give greater impor-
tance to food habits (54.6 %) than males (45.4 %)
(P \ 0.05).
Anthropometric measurements and eating and life
habits
Having breakfast at home does influence the BMI, students
who have breakfast at home show the lowest value of this
parameter (P \ 0.05) compared to those who occasionally
have breakfast. Difference was not so significant as com-
pared to those who never have breakfast (Table 10).
Students having both breakfast and a snack have a lower
BMI than people who avoid both meals and arrive fasted at
noon (21.48 vs. 23.14; P \ 0.05) (Table 11).
In our cohort, students who watch TV do not have a dif-
ferent BMI value (22.03 ± 3.24) as compared to that of stu-
dents who evade watching TV while eating (22.09 ± 2.98)
(data not shown).
Table 5 Answers to the questions: what do you do while having
meals? Results are expressed as absolute value, with percentage put in
brackets
Males (%) Females (%) P for v2
I speak with relatives 221 (43.4) 238 (50.2) NS
I watch TV 259 (50.9) 213 (44.9) NS
I’m quiet 20 (3.9) 14 (3.0) NS
Other 9 (1.8) 9 (1.9) NS
Table 6 Answer to question: what do you drink during your meals?
Results are expressed as absolute value, with percentage in brackets
Males (%) Females (%) P for v2
Tap or still natural water 171 (33.6) 234 (49.4) \0.01
Sparkle mineral water 148 (29.1) 138 (29.1) NS
Drinks 117 (23.0) 91 (19.2) NS
Milk 6 (1.2) 3 (0.6) NS
Wine 65 (12.8) 8 (1.7) \0.01
Nothing 2 (0.4) – NS
Table 7 Answer to question: what is your attitude towards new food
and drinks ? Results are expressed as absolute value with percentage
in brackets
Males (%) Females (%) P for v2
Distrust/rejection 113 (22.2) 106 (22.4) NS
Curiosity 396 (77.8) 368 (77.6) NS
Table 8 Answer to question: when you eat out, do you prefer…?
Results are expressed as absolute value with percentage in brackets
Males (%) Females (%) P for v2
Pizzeria 260 (51.1) 282 (59.5) NS
Bar 50 (9.8) 49 (10.3) NS
Fast food 80 (15.7) 58 (12.2) NS
Restaurant 118 (23.2) 84 (17.7) NS
I do not eat out home 1 (0.2) 1 (0.2) NS
Table 9 Answer to question: on your opinion, what does determine
the body weight? Results are expressed as absolute value with per-
centage in brackets
Males (%) Females (%) P for v2
Physical activity 182 (35.8) 141 (29.7) NS
Genetic background 82 (16.1) 69 (14.6) NS
Eating habits 231 (45.4) 259 (54.6) \0.05
Environmental factors 14 (2.7) 5 (1.0) NS
Table 10 BMI values (mean ± SD) as a function of having breakfast
at home or not
All BMI
Females Males
Always 21.71 ± 3.12a 20.96 ± 2.97a 22.30 ± 3.12a
Sometimes 22.52 ± 3.18b 21.98 ± 2.75b 23.22 ± 3.48b
Never 22.29 ± 3.10ab 21.67 ± 2.79ab 23.03 ± 3.31ab
Means in the same columns, with different superscript, significantly
differ a,b (P \ 0.05)
146 Mediterr J Nutr Metab (2013) 6:143–150
123
Sport activity and body satisfaction
Sport is practiced by the majority of the students (50.9 %),
42.6 % of the females and 58.5 % of males (Table 12): in a
competitive way 22.9 % and regularly 28 % (data not
shown). Females practicing sport regularly had a lower
BMI than subjects with a low level of sports activity
(22.91 ± 3.17 vs. 23.68 ± 3.11; P \ 0.01). In males, these
differences are not statistically significant (24.50 ± 3.19
vs. 25.01 ± 4.05).
Among those students who are always or often satisfied,
males are more than females (66.2 vs. 36.1 %; P \ 0.01),
while girls not satisfied of her body are sharply most
abundant than boys (19.0 vs. 8.1 %; P \ 0.01) (Table 13).
The level of satisfaction for own body was inversely
related to BMI, with unsatisfied subjects having a BMI
higher than students with a higher satisfaction (Table 14).
Discussion
Anthropometric measurements
If we compare the average result regarding the overweight
students (6.11 %) with that of HSBC study (Health
Behavior in School-aged Children) (25 %), conducted in
2005 [5] on ‘‘healthy and unhealthy habits’’ of adolescents
living in Piemonte, conducted by the University of Turin,
Piemonte Regional Office and Regional School Office, we
note that the percentage is considerably different, as in the
Okkio’s study [6]: 20 % of the students were overweight.
Given their low number, including obese subjects does not
modify the percentage of overweight subjects.
Difference between our study and previously cited ones
could de due to the higher level of physical activity in our
group of students: the 31.4 % of males and 13.7 % of
females practiced sport in a competitive way, while in
HBSC [5] this percentage was globally less than 20 %. The
percentage of students involved in sport practice more than
three times/weeks is also higher in our study compared to
Okkio’s study [6] 58.5 vs. 52 % for males and 42.6 vs.
40 % for females.
The fact that the highest percentage of underweight
subjects can be found among female students can be related
to their lower satisfaction with their physical appearance
that has been observed in the women cohort and to the
higher frequency of anorexia among females, even if no
anorexia cases have been reported [7].
Answers to the questionnaire
Only 53.7 % of the students always have breakfast at
home. This finding is in sharp contrast with the values of
D’Addesa et al. [8] in which 95 % of respondent students
said they eat breakfast at home. If we add the number of
students who declared to occasionally have breakfast, then
the data of our study (87 %) become more similar to
D’Addesa et al. [8]. Males always prefer having breakfast
at home (58.2 %) more than females (48.7 %) (P \ 0.05).
These data can be interpreted as the result of the fact that
a high percentage of commuter students do not wake up in
time to have breakfast at home.
The lower BMI observed in students having breakfast
compared to ones that arrived to school fasted does not
fully agree with the meta-analysis made by Rampersaud
et al. [9] who in 16 studies did not find a clear corre-
spondence between non-consumption of breakfast and
increase of the BMI value. However in 10 out of 16 studies,
a significant inverse relationship between BMI and con-
sumption of breakfast was observed.
Data on consumption of milk are slightly different (35.1
vs. 30 %) from those reported by D’Amicis et al. [10]. If we
add up values corresponding to adolescents who have yogurt
or coffee with milk, 62.3 % of respondents consume this
important source of Ca, however, more than a third does not
consume dairy foods, that according to Lombardi-Boccia
Table 11 Body Mass index (BMI) in subjects having both breakfast
and snacks or lacking both the meals (mean ± SD)
Breakfast and
snack
All BMI
Females Males
Yes (n = 356) 21.49 ± 3.11a 20.54 ± 2.98a 22.17 ± 3.03a
Never (n = 41) 23.14 ± 3.62b 22.29 ± 3.57b 24.23 ± 3.48b
Means in the same columns, with different superscript, significantly
differ a,b P \ 0.05; a,b P \ 0.01
Table 12 Levels of sport activity; results are expressed as absolute value with percentage are in brackets
Sex Level of sports activity
Competitive way (%) Regular (C 3 times/week) (%) Poor (B 2 times/week) (%) Never (B 1 times/week) (%)
Females 65 (13.7) 137 (28.9) 171 (36.1) 101 (21.3)
Males 160 (31.4) 138 (27.1 145 (28.5) 66 (13.0)
P for v2 \0.01 NS NS \0.05
Chi square value for contingency table: 44.01; P \ 0.01
Mediterr J Nutr Metab (2013) 6:143–150 147
123
et al. [11] provide the 58.13 % of Ca intake in the diet of
Italians. We could deduce a possible shortage of the mineral
in the examined adolescents. A low intake of Ca in the range
from 14 to 18 years, has also emerged from the study of
Larson et al. [12], also the national survey carried out in Italy
[13], reported an average Ca intake for children aged
10–17.9 years of: 892 mg/day for males and 770 mg/day for
females, lower than requirements fixed in 1,200 mg/day.
As far as the consumption of milk is concerned, the
study revealed that 7 % of the student population suffers
from intolerance to milk and dairy products (IMD). These
data differ from those found by Nicklas [14] where IMD is
more prevalent in adults (12.3 %), and the dominant
immunological mechanisms driving allergic reactions
change with age. Our study has not directly checked the
intolerance to lactose, but we only considered what was
declared by volunteers, our data may be therefore
overestimated.
Only 10 students are used to have fruit for breakfast, this
very low value stress the importance of educational cam-
paign for the promotion of fruit consumption at school.
The percentage of students that routinely have a snack
during the morning break is higher than 60 %, if we add
the percentage of students who have breakfast or snacks,
the result is that more than 80 % of respondents have a
secondary meal before the midday main meal.
Considering that splitting the consumption of food can
prevent the loss of control that leads to binge eating, the
obtained data are positive.
The lower BMI of students having both breakfast and
snack as compared to subjects avoiding both meals and
arrive fasted at noon confirms the importance of a regular
frequency of meals for the prevention of overweight and
obesity.
The preference that the male population gives to sand-
wiches (savory snacks–sandwiches), is in line with the
results obtained by Lioret et al. [15] that assessing the
intake of different food groups in French boys and girls
(aged 15–17 years), observed a significant increase in the
consumption of sandwiches and savory snacks in boys as
compared to girls.
The family influences the eating behaviors of children
through times, preparation of the food, models that are
offered to adolescents who are not yet fully autonomous.
Although the meal is prepared by one of the parents in most
the cases, this person not always eats with his children. The
fact that about 42 % of students eat by themselves,
deprives them of the educative role of the family and puts
them at risk of unbalanced meals.
The family organization influences the way of preparing
meals, the lowest percentage (74.7 %) of families where
there is a person responsible for preparing meals, has been
found among the families of the students who attend the
Professional School. The majority of the students who
attend this school come from families where parents are
employees and are then subject to the constraints of work
shifts or other time restrictions, therefore they cannot
always prepare meals for their children.
This finding is in agreement with the lower percentage
(46.8 %) of positive answers given by this group of stu-
dents to the question (At home, do you always have meals
at the same time and together with your family?).
The low involvement of children in the preparation of
meals can be an obstacle to the nutritional education pro-
gram because it implies a lack of knowledge of foods.
Females resulted more involved than males in the prepa-
ration of meals (28.5 vs. 14.35; P \ 0.01).
Almost half of the respondents (48.0 %) watch TV
while eating. Epstein et al. [16] have shown that watching
TV is a risk both because of physical inactivity and of
consumption of food. In their study, they demonstrated that
the increase in inactivity is associated with an increase in
food intake, while a reduction in physical inactivity is
accompanied by a spontaneous reduction in food con-
sumption. Watching TV reduces energy expenditure in
Table 13 Level of satisfaction for body aspect; results are expressed as absolute value, with percentage are in brackets
Sex Levels of body satisfaction
Fully satisfied (%) Moderately satisfied (%) Poorly satisfied (%) Not satisfied (%)
Females 62 (13.1) 109 (23) 213 (44.9) 90 (19.0)
Males 163 (32.0) 174 (34.2) 131 (25.7) 41 (8.1)
P for v2 \0.01 \0.01 \0.01 \0.01
Chi square value for contingency table: 97.02; P \ 0.01
Table 14 Relationship between BMI and satisfaction for own body
Level of satisfaction Females Males
BMI BMI
Fully satisfied 22.54 ± 2.57ab 24.30 ± 3.21a
Moderately satisfied 22.21 ± 3.37a 24.17 ± 3.25a
Poorly satisfied 23.39 ± 2.94b 24.96 ± 3.66a
Not satisfied 25.19 ± 2.91c 27.79 ± 4.35b
Means in the same columns, with different superscript, significantly
differ a,b,c P \ 0.01
148 Mediterr J Nutr Metab (2013) 6:143–150
123
case of obesity [17] and increases food intake because of
the advertising messages [18]. TV can lead to overweight
causing changes in eating habits. It is estimated that in
western countries from 20 to 25 % of daily calories are
eaten while watching TV [19]. Children often eat while
watching TV [19], and it has also been demonstrated that
TV advertising tends to promote highly energetic food
[20, 21].
Students who watch TV do not have a different BMI
value compared to subjects that watch TV while eating.
This result is not in contrast with the study by Borzekowski
[22] because our questionnaire was not asking the number
of hours that children spend watching TV or how sedentary
they are, it was asking about a habit they have while having
meals.
The fact that 70 % of the respondents consume simple
water is very important and helps to explain why a low
percentage of students are overweight. Carbonated bever-
ages have a high caloric content (40–45 kcal/100 ml),
much higher than water that has zero calories. There are no
significant differences in BMI values between students who
drink water (22.07 ± 3.07) or carbonated beverages
(21.92 ± 3.92).
The choice of beverages strongly depends on gender:
males prefer wine (12.8 % M vs. 1.7 % F); while females
prefer natural water (49.3 % F vs. 33.5 % M). There is
less difference if the choice is for carbonated beverages
(23 % M vs. 19.2 % F).
It is quite a surprising result because adolescents tend to
be suspicious towards unknown food and their diet is fairly
monotonous. The percentage of students who do not have
prejudices towards new foods is even higher that the per-
centage who like traditional food.
The role of TV considered as a guide for the food
choices of adolescents does not come out as essential. The
high propensity to consumption of new foods may also
derive from the fact that TV shows new eating styles not
only in commercials.
The fact that our cohort preference is for ‘‘pizzerias’’
shows a potential problem in nutritional education. Pizza is
a highly caloric food (271 kcal/100 g) and provides a low
fiber intake (3.8 g/100 g) [23]. In addition, pizza does not
usually come together with fruit or vegetables. Foods
purchased in bars or fast food restaurants have also the
same nutritional limits. What follows is that eating out
provides in most cases a nutritionally unbalanced food
intake.
The genetic component is considered as not so important
in determining overweight, while eating habits and physi-
cal activity play a major role. Respondents are aware that
individual behaviors help to prevent or to solve weight
problems.
Sport activity and body satisfaction
Sport is practiced by the majority of students (50.8 %): in a
competitive way (22.9 %) and regularly (28 %). These data
differ from what stated by Vieno et al. [24] whose data
show that 62 % of children regularly practice sport or
physical activity. It is clear from other national and local
surveys [25, 26] that males have a greater aptitude towards
sport (74.1 %) than girls (50.6 %).
The values expressed as a percentage show a higher
majority of males (31.4 %) practice sport in a competitive
way compared to females (13.7 %).
Kantomaa et al. [27] reported that inactive female
adolescents are doubly at risk of depression (OR = 2.3),
suffer from attention disorders especially when at
school (OR = 2.1), are triply at risk of psychosocial dis-
orders (OR = 3.2), have more psychosomatic disorders
(OR = 1.4) more often behave outside the rules or frankly
antisocially (OR = 1.8), compared to physically active
peers.
Male student is more satisfied with their physical
appearance than females. These data confirm what stated
by Pellai et al. [28] where 56 % of the boys perceived their
weight as normal, compared to 53 % of girls.
Conclusions
Eating behavior is a valuable gauge of a more general
attitude towards health and should not be considered as
isolated attitudes, but should be included within programs
that promote the wellbeing of adolescents.
In view of the fact that obesity is a major risk factor for
the onset of chronic diseases, such as diabetes, cardiovas-
cular diseases and some cancers, it is necessary to imple-
ment all possible preventive measures.
Effective prevention can be implemented during child-
hood and adolescence, when eating habits are not regular
and there is still a greater willingness to change. To obtain
some results, it is important to commit all the major edu-
cational figures that relate with children, first of all family
and teachers. The probability of changing lifestyle is higher
if the environment and the contest where adolescents live
provides various and coherent opportunities to transmit a
message of health.
Acknowledgments Bra Rotary Club and Piemonte Region have
contributed to the achievement of this study. The collaboration of
students and employees of the schools involved (Liceo Scientifico
Classico Linguistico Giolitti Gandino and Istituto Professionale
Mucci) is gratefully acknowledged.
Conflict of interest None.
Mediterr J Nutr Metab (2013) 6:143–150 149
123
References
1. Neumark-Sztainer DR, Wall MM, Haines JI, Story MT, Sher-
wood NE, van den Berg PA (2007) Shared risk and protective
factors for overweight and disordered eating in adolescents. Am J
Prev Med 33:359–369
2. Stice E, Presnell K, Shaw H, Rohde P (2005) Psychological and
behavioural risk factors for obesity onset in adolescent girls:
a prospective study. J Consult Clin Psychol 73:195–202
3. Ostuzzi R, Luxardi GL (2003) Figlie in lotta con il cibo. Baldini
Castoldi Dalai editore, Milan
4. Frisancho AR (1999) Antropometric standards for the assessment
of growth and nutritional status. The University of Michigan
Press, Michigan
5. HBSC Study (Health Behaviour in School-aged Children-Italia)
(2006) Stili di vita e salute dei giovani italiani, 11–15 anni.
Minerva Medica, Torino
6. OKkio alla Salute. Risultati dell’indagine 2010, Regione Emilia-
Romagna
7. Delle Grave R (2009) Il trattamenti dei disturbi dell’alimentazi-
one a Villa Garda. Positive Press, Verona
8. D’Addesa D, Sette S, Muli MP, Martone D, Le Donne C, Alicino
G (2002) Ristorazione scolastica: livelli di gradimento dei pasti in
un comune del Lazio. La Rivista di Scienza dell’Alimentazione
31:122–127
9. Rampersaud GC, Pereira MA, Girare BL, Adams J, Metzl JD
(2005) Breakfast habitus nutritional status, body weight and
academic performance in children and adolescents. J Am Diet
Assoc 105:743–760
10. D’Amicis A, Sette S, Turrini A, Battistini N, Carbini L, Giacchi M,
Leonardi F, Sculati O, Cataldi N (2004) L’assunzione di calcio
alimentare dei bambini italiani. La Rivista di Scienza dell’Ali-
mentazione 33:99–109
11. Lombardi-Boccia G, Aguzzi A, Cappelloni M, Di Lullo G,
Lucarini M (2003) Total-diet study: dietary intakes of macro
elements and trace elements in Italy. Br J Nutr 90:1117–1121
12. Larson NI, Neumark-Sztainer D, Harnack L, Wall M, Story M,
Eisenberg ME (2009) Calcium and dairy intake: longitudinal
trends during the transition to young adulthood and correlates of
calcium intake. J Nutr Educ Behav 41:254–260
13. Sette S, Le Donne C, Piccinelli R, Arcella D, Turrini A, Leclercq
C, on behalf of the INRAN-Scai 2005–06 Group (2010) The third
Italian National Food consumption Survey INRAN-SCAI
2005–06- Part 1: nutrient intakes in Italy. Nutr Metab Cardiovasc
Dis 21:922–932
14. Nicklas TA, Qu H, Hughes SO, He M, Wagner SE, Foushee HR,
Shewchuk RM (2011) Self-perceived lactose intolerance results
in lower intakes of calcium and dairy foods and is associated with
hypertension and diabetes in adults. Am J Clin Nutr 94:191–198
15. Lioret S, Dubuisson C, Dufour A, Touvier M, Calamassi-Tran G,
Maire B, Volatier JL, Lafay L (2010) Trends in food intake in
French children from 1999 to 2007: results from the INCA (etude
Individuelle Nationale des Consommantions Alimentaires) die-
tary surveys. Br J Nutr 103:585–601
16. Epstein LH, Roemmich JN, Paluch RA, Raynor HA (2005)
Influence of changes in sedentary behaviour on energy and
macronutrient intake in youth. Am J Clin Nutr 81:361–366
17. Robinson TN (2001) Television viewing and childhood obesity.
Pediatr Clin North Am 48:1017–1025
18. Van Evra J (1990) Television and child development. Lawrence
Erblaum Ass Publishers, Hillsdale
19. Matheson DM, Killen JD, Wang Y, Varady A, Robinson TN
(2004) Children’s food consumption during television viewing.
Am J Clin Nutr 79:1088–1094
20. Borzekowski DL, Robinson TN (2001) The 30-second effect: an
experiments revealing the impact of television commercials on
food preferences of preschoolers. J Am Diet Assoc 101:42–46
21. Jeffery RW, French SA (1998) Epidemic obesity in the United
States: are fast foods and television viewing contributing? Am J
Public Heath 88:277–280
22. IEO, Istituto Europeo di Oncologia (2009) Banca dati di compo-
sizione degli alimenti, http://www.ieo.it/bda2008/homepage.aspx.
Accessed 17 July 2012
23. Borzekowski DL, Bayer AM (2005) Body image and media use
among adolescents. Adolesc Med Clin 16:289–313
24. Vieno A, Santinello M, Martini CM (2005) Epidemiologia del
sovrappeso e dell’obesita nei preadolescenti italiani:studio sulla
relazione con attivita fisica e inattivita. Epidemiologia Psichia-
trica e Sociale 14:100–107
25. Istat (2002) Sport e attivita fisiche. Indagine Multiscopo sulle
famiglie: I cittadini e il tempo libero, anno 2000. Roma
26. Ruscello M (2000) I giovani tra scuola, sport e tempo libero.
Studio sulla condizione giovanile in provincia di Benevento,
Provincia di Benevento
27. Kantomaa MT, Tammelin TH, Ebeling HE, Taanila AM (2008)
Emotional and behavioural problems in relations to physical
activity in youth. Med Sci Sports Exerc 40:1749–1756
28. Pellai A, Brizzi L, Curci R, Sancini S, Saporetti G, Speich S,
Tosetto C (2002) Valutazione del rischio di disturbi del com-
portamento alimentare negli adolescenti del Nord Italia. Risultati
di uno studio multicentrico. Minerva Pediatr 54:139–145
150 Mediterr J Nutr Metab (2013) 6:143–150
123