TRABAJO ORIGINAL
Food preferences and their
“decision contexts” as predictors of dietary pattern.
Preferencias
alimentarias y su contexto de decisión como predictores del
patrón alimentario.
María M Andreatta(1,2), María L del Campo(2), Adrián
Carbonetti(1), Alicia Navarro(2)
Revista Facultad de Ciencias
Medicas 2011; 68(1): 14-19
( ) Centro de
Investigaciones y Estudios sobre Cultura y Sociedad - Unidad
Ejecutora, CONICET. Gral. Paz 154, 2º piso, Córdoba Capital.
(2) Escuela de Nutrición, Facultad de Ciencias Médicas,
Universidad Nacional de Córdoba. Pabellón de las Escuelas,
E. Barros s/n, Ciudad Universitaria, Córdoba Capital.
E-mail:
alicianavarro74@yahoo.com.ar ;
maryandreatta@hotmail.com
Introduction
A growing number of epidemiological studies on diet and
its association with nutritional status or the risk for
developing certain pathologies, such as the non-communicable
diseases – such as cancer, diabetes and cardiovascular
diseases - have been carried out and published in the last
decades
(1). These studies have mainly focused on food
consumption and nutrient intake and their relationship with
metabolic aspects
(2), being food frequency questionnaire –
FFQ – the usual method for estimating dietary intake in
epidemiological studies because it provides a valid and
reliable estimate of the usual food intake in a variety of
populations
(3, 4).
Although studies on nutrient and food intake have
contributed to the understanding of the development of
several highly prevalent diseases, it does not show why,
where or how people choose certain foods and reject others
(5). It has been suggested that previous experiences and
knowledge about nutritition, health status, availability and
access to food, culture, position in the social scale,
gender, and the influence of the mass media all of them have
an impact on most of the daily food choices
(2, 6-8). In addition, the specificity of the relationship between
society and nature at every historical period also affects
food choices
(9). All these issues belong to what we have
called the “food decision context”.
It is worthy to bear in mind that people eat meals, and not
just isolated foods. These meals or preparations are usually
the result of a combination of foods, according to precise
rules. Moreover, even certain single-food cooking
preparations follow rules
(10). The way food is turned into
meals using specific procedures and technologies, also
involves people’s conceptions about diet, health, gender and
their belonging to society ranks
(10, 11).
Summing up, the complex human dietary behaviour cannot be
understood by simply using food frequency methods alone. It
is also necessary to elucidate why some foods are chosen and
others are rejected, and why foods are combined in certain
manners
(12). Consequently, food preference and its decision
context approach may explain more accurately these issues.
Thus, the FPQ is a quick and easy approach to assess usual
diet
(13). In the present study, we decided to design and
validate a FPQ to be applied in adult subjects for
nutritional epidemiological studies.
Materials and Methods
Food preference questionnaire design
Unidimensionality, simplicity, speed, responsiveness and
understandability were the criteria considered in designing
this FPQ
(14, 15). An informed consent form was also
elaborated
(16).
A pilot study was performed with three
adults of both sexes before applying the FPQ with the sample.
Subjects and data collection
The fieldwork was carried out between February and April of
2010 in Córdoba, a Mediterranean city of 1.300.000
inhabitants located in Argentina.
The FPQ was applied to 60 adult subjects of both sexes,
living in Córdoba and nearby cities of the Greater Córdoba
region, taking as a reference a previous study of FFQ
validation carried out by our group
(4). People with
digestive tract diseases or with long-term modifications of
their diet were excluded. The subjects were contacted in a
private clinic and a public hospital of Córdoba city and
interviewed after signing the informed consent. It is
important to note that the sample was obtained from a
hospital population, since this FPQ will be used in future
studies devoted to search the relationship between food
preferences and non-communicable diseases, and patients will
be contacted at the same location where the FPQ was applied.
Subjects were requested to point out their food preferences,
ingredients and method of preparation, culinary learning
resources, sources of recipes, purchasing strategies of each
food preparation and cultural roots of the decision to
consume that food. They were also requested to specify the
frequency of consumption of each preparation, information
that was used as an indicator of dietary patterns, and
permitted further validation of the FPQ
(17). Other
epidemiological information collected at the interview
included sex, weight and height, age, educational attainment,
employment status, health insurance, housing conditions,
income, and perception of food in relation to the health-disease
process. All these data are relevant in order to understand
the context of the food decision.
The study was conducted following all the international
ethical norms for research in human populations
(16) and was
approved by the Ethics Review Board of Health Research of
the Ministry of Health of the Province of Córdoba.
Statistical analysis
The validity of the FPQ was estimated through the
correlation between the number of subjects who indicated a
preference for a particular preparation and the frequency of
its consumption. As previously explained the frequency of
consumption is the reference method for estimating dietary
intake
(14, 17).
The Spearman correlation coefficient (rs) was calculated by
using SPSS 17.0. The coefficient of determination (r2) was
also computed in order to estimate the percentage of data
variability explained by the association between the two
variables (18, 19).
Results
Relevant characteristics of interviewed subjects
A descriptive analysis showed that 62% (n = 37) of the
individuals were men and 38% (n = 23), women, being the
average age 55.6±16 years old. Three social strata were
defined by considering the employment status and educational
attainment
(20). Data showed that 50% (n =32) of the people
belonged to the lowest stratum, 25% (n=16) to the middle
stratum, and the other 25 % (n=16) to the highest stratum,
respectively.
Food preferences and frequency of consumption
Over 194 favourite meals or foods were mentioned during the
interviews. In order to allow statistical processing, these
food preferences – FP – were regrouped into ten categories
according to their main ingredients and methods of
preparation. These groups are listed below:
- FP 1: Roasted, baked, grilled or fried red meats or
sausages served with or without vegetables and/or cereals.
- FP 2: Roasted, baked, grilled or fried poultry served with
or without vegetables and/or cereals.
- FP 3: Mixed preparations cooked by moist heat, such as:
stew, rice with chicken, paella, soup, pickles, and sauces.
- FP 4: Preparations of cereals, cereal products or potatoes,
with vegetables and/or meat, such as: pasta, pizza, polenta,
pies, steak sandwiches, potato cake, and potato chips.
- FP 5: Milk, yogurt, ice cream and flan.
- FP 6: Vegetables, salads, chop suey.
- FP 7: Fruits.
- FP 8: Bakery: criollos (variety of typical bread with a
high content of salt and animal or/and vegetable fat), white
bread and crackers served with or without jam, cheese and/or
butter.
- FP 9: Cheese.
- FP 10: Seafood; roasted or grilled fish served with or
without vegetables or cereals; sushi.
The average monthly frequency of consumption (MFC) was
calculated for each group.
As shown in Figure 1, most people preferred the red meat
group (n=77) and the group with preparations of cereals,
cereal products or potatoes (n=56). In addition, the most
frequently consumed foods were those of the fruit group (MFC=440),
the red meat group (MFC=372), and mixed preparations cooked
by moist heat (MFC=285). The greatest overlaps between FP
and the frequency of consumption were observed in the food
chosen by poultry group (FP2 n=5 and MFC=45) and the bakery
group (FP8 n=3 and MFC=30).
 |
Fig. 1:
Food preferences and their frequency of consumption.
Córdoba, 2010 |
.
FPQ validity to estimate dietary pattern
The correlation between the number of subjects who indicated
a preference for a particular preparation, and its frequency
of consumption gave a result of rs=0.5 (p <0.1). This value
indicates a moderate correlation between the two variables.
Figure 2 shows the linear trend of correlation. Thus, the
dietary patterns of adult population from Córdoba could be
estimated by assessing food preferences.
 |
Fig. 2:
Correlation between food preferences and frequency
of consumption. Córdoba, 2010. |
The determination coefficient had a value of r2= 0.25. This
indicates that 25% of the dietary pattern of these subjects
was explained by their preferences, whereas the biological,
psychological and socio-cultural components of the food
decision context, in additon to their complex relations, may
also contribute in a certain degree to understand better the
choice of food intake.
Discussion
The aim of this study was to develop a quick and easy
questionnaire to assess the usual diet of adults through
their food preferences. We found that the dietary patterns
and usual food intake could be estimated by assessing the
food preferences of the studied population, given that the
Spearman correlation was rs = 0.5 for a confidence level of
90%.
Food preferences (FP) have been used for decades by
marketing departments in the food industry to satisfy the
consumption and tastes of people, whereas the quali-quantitative
frequency of food consumption (FF) has been the preferred
approach to assess the usual intake in epidemiological
studies on non-communicable diseases
(3, 4, 21-24). Although
both strategies are closely related, it is generally
considered that the FP method only provides a rough
approximation to the actual food consumption. Nevertheless,
recent research has found significant correlations between
both methods. Drewnowski and Hann
(25) investigated the
association between FP and food consumption in college women
and found a correlation of 0.4 between the two variables.
Another similar study conducted with college students of
both sexes in Mexico, gave a correlation of 0.48
(13). Also,
a current and more complex investigation revealed that
dietary patterns related to cardiovascular risk in adult
males could be efficiently estimated through FP
(26).
Using the coefficient of determination, we have shown that
the influence of the so-called “food decision context" is
very important in the construction of FP and dietary
patterns. In fact, it has been previously demonstrated that
adult FP are strongly influenced by age, sex, health status,
educational level and income
(27-29). Similarly, the local
or regional food culture, position in the social scale and
the mass media are significantly involved in everyday food
choices
(2, 6-8). Economic access to food also determines
and interacts with the other aspects of the food decision
context. Regarding this latter factor, in the present study
we observed that although most subjects preferred meals from
the group of red meat, fruits were the most frequently
consumed, as expected
(30,31). Due to red meats are
expensive, they cannot be consumed as frequently as desired
(10). On the other hand, the general belief that fruits are
"healthier" than red meats is gaining acceptance. Therefore,
we can speculate that fruits are consumed more often because
they are considered “good for health”, despite them not
being chosen as favorite foods
(32). Similarly, meals
prepared with vegetables and dairy products were frequently
consumed but only had a moderate preference.
Besides, the preference and the frequency of consumption of
preparations based on cereals and cereal products or
potatoes with meat and/or vegetables, such as pasta, pizza,
pies, and steak sandwiches, among others - and mixed
preparations cooked by moist heat, such as stew, rice with
chicken, and soup, among others - followed the same trend of
preferences. Both these types of meals are very popular
(30), forming part of Argentinean food culture and also are
cheaper, which could explain why they are among the favorite
foods with a high frequency of consumption
(10).
Food preferences have the capability of introducing the
affective or attitudinal component of the usual diet,
compared with the method of frequency which is based on the
recallinf of past intake of the surveyed subjects
(25). These two methodologies not only correlate significantly,
but also complement each other since they effectively
evaluate different aspects of the same phenomenon: the diet
of human groups related to a particular place and time.
In conclusion, the FPQ is a valid instrument for a quick and
easy estimate of consumption and dietary patterns in adults.
It also has the advantage of not relying on the recalling of
the past regular diet, as in the case of the FFQ. Moreover,
the inclusion of the food decision context is a valuable
approach to examine the socio-cultural and individual
processes that influence the food preferences of individuals,
thus on the health preservation and avoidance of the risk of
related diseases.
ACKNOLEDGMENTS
This work was supported by SeCyT-UNC
and CONICET.
The authors are indebted to Professors Oscar
Pautasso (MD, PhD) and Susana Asia de Leoni (MD, PhD)
for facilitating the conduction of the surveys in
the Sanatorio del Salvador and the Hospital Nacional
de Clínicas, respectively.
We also acknowledge the help given by Eliana Álvarez
Di Fino and Sofía Alzuarena in applying the FPQ, as
well as to Aldo R. Eynard (MD, MS, PhD) and Ernesto
Grasso (MD) for their suggestions and careful
revision of the manuscript.
The authors are grateful to Paul David Hobson (PhD),
native speaker, for his technical assistance in the
English revision.
|
Reference
1. Byers T. The role of epidemiology in developing
nutritional recommendations: past, present and future. Am J
Clin Nutr; 1999, 69:1304s-08s.
Full text
2. Mela DJ. Food Choice and Intake: The Human Factor.
Proceedings of the Nutrition Society; 1999, 58:513–521.
PubMed
Full text
3. Willett WC, Sampson L. Dietary assessment methods.
Proceedings of the second international conference. Am J
Clin Nutr; 1995, 65:1097S–368S.
4. Navarro A, Osella AR, Guerra V, Muñoz SE, Lantieri MJ,
Eynard AR. Reproducibility and validity of a food-frequency
questionnaire in assessing dietary intakes and food habits
in epidemiological studies in Argentina. J Exp Clin Cancer
Res; 2001, 20: 365-370.
PubMed
5. Bellisle F. How and why should we study ingestive
behaviors in humans? Food Qual Pref; 2009, 20: 539-544.
6. De Garine I, Vargas LA. Introducción a las
investigaciones antropológicas sobre alimentación y
nutrición. Cuadernos de Nutrición; 1997, 20: 21-28.
PubMed
7. Logue AW. The psychology of eating and drinking, an
introduction. Freeman and Company. New York, USA, 1998. 2ª
ed.
8. Birch LL. Development of Food Preferences. Ann Rev Nutr;
1999, 19: 41–62.
PubMed
9. Hintze S. Apuntes para un abordaje multidisciplinario.
In: Álvarez M, Pinotti L V, comp. Procesos Socioculturales y
Alimentación. Editorial Del Sol México, 1997, p.15.
10. Aguirre P. Estrategias de Consumo: Que Comen los
Argentinos que Comen. Miño y Davila Editores. Buenos Aires,
2005.
11. Fischler C. El (h) omnívoro. El gusto, la cocina y el
cuerpo. Editorial Anagrama. Barcelona, 1995.
12. Contreras Hernández JJ, Gracia Arnaiz M. Alimentación y
Cultura. Perspectivas antropológicas. Editorial Ariel.
Barcelona, 2005.
13. Díaz Mejía MC. Preferencias Alimentarias como
Alternativa al Estudio de Patrón Dietético. Rev Esp Nutr
Comunitaria; 2002, 8: 29-34.
14. Polit DF, Hungler BP. Investigación Científica en
Ciencias de la Salud. Editorial Mc Graw-Hill Interamericana.
Filadelfia, 1995. 5ª ed.
15. Casas Anguita J, Repullo Labradora JR, Donado Campos J.
La encuesta como técnica de investigación. Elaboración de
cuestionarios y tratamiento estadístico de los datos (II).
Escuela Nacional de Sanidad. Madrid, 2002.
16. CIOMS/Council for International Organizations of Medical
Sciences. International Ethical Guidelines for Biomedical
Research Involving Human Subjects. [on line] CIOMS.
Switzerland, 2002 [Consulted 14/10/2009] Available at:
http://www.cioms.ch/publications/guidelines/guidelines_nov_2002_blurb.htm
17. Willett WC. Nutritional Epidemiology. Monographs in
Epidemiology and Biostatistics. Vol. 15. Oxford University
Press. Oxford, 1990.
18. Bland JM, Altman DG. Statistical methods for assessing
agreement between two methods of clinical measurement.
Lancet; 1986, 1: 307-310.
PubMed
19. Conover WJ. Practical nonparametric statistics. John
Wiley & Sons. New York, 1998. 3rd. ed.
20. Vinocur P. Metodología de la Investigación Evaluativa.
In: Evaluación de un Programa de Alimentación Escolar: el
caso argentino. OPS/OMS. Buenos Aires, 1990, p. 2, 9-19.
21. Tuorila H, Cardello AV, Lesher LL. Antecedents and
consequences of expectations related to fat-free and
regular-fat foods. Appetite; 1994, 23:247–63.
Abstract
22. Gould J, Densk GA. Children’s preferences for product
attributes of ready-to-eat pre-sweetened cereals. J Food
Prod Mark; 1996, 3:19–38.
23. Hess MA. Taste: the neglected nutrition factor. J Am
Diet Assoc; 1997, 97:S205-S207.
PubMed
24. DeSarbro W, Young MR, Rangaswamy A. A parametric
multidimensional unfolding procedure for incomplete
nonmetric preference/choice set data in marketing research.
J Mark Res; 1997, 34: 499–516.
Abstract
25. Drewnowski A, Hann C. Food preferences and reported
frequencies of food consumption as predictors of current
diet in young women. Am J Clin Nutr; 1999, 70:28–36.
Full
text
26. Duffy VB, Lanier SA, Hutchins HL, Pescatello LS, Johnson
MK, Bartoshuk LM. Food preference questionnaire as a
screening tool for assessing dietary risk of cardiovascular
disease within health risk appraisals. J Am Diet Assoc;
2007, 107:237-45.
PubMed
27. Harnack L, Block G, Lane S. Influence of selected
environmental and personal factors on dietary behavior for
chronic disease prevention: a review of the literature. J
Nutr Educ; 1997, 29:306–12.
Abstract
28. Drewnowski A. Taste preferences and food intake. Annu
Rev Nutr; 1997, 17:237-53.
29. Drewnowski A, Henderson SA, Hann CS, Barratt-Fornell A.
Age and food preferences influence dietary intakes of breast
care patients. Health Psychology; 1999, 18: 570-578.
PubMed
30. Andreatta MM, Navarro A, Muñoz SE, Aballay L, Eynard AR.
Dietary patterns and food groups are linked to the risk of
urinary tract tumors in Argentina. Eur J Cancer Prev; 2010,
19: 478-484.
PubMed
31. Navarro A, Muñoz SE, Eynard AR. Diet, feeding habits and
risk of colorectal cancer in Córdoba, Argentina. J Exp Clin
Cancer Res;1995, 14: 287–91.
Abstract
32. Orlando MF, Andreatta MM, del Campo ML, Navarro A.
Representaciones Sociales de la Alimentación y el Proceso
Salud-Enfermedad en sujetos con cáncer en Córdoba,
Argentina. 2010 [manuscript under consideration].

|