SciELO - Scientific Electronic Library Online

 
vol.26 número4Consumo de leche entera de vaca y pérdida de masa grasa en pacientes ambulatorios con obesidad o sobrepeso en el estado de MéxicoEvaluación de la relación entre cronotipo, adherencia a la dieta mediterránea y salud cardiometabólica en adultos índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google

Compartir


Revista Española de Nutrición Humana y Dietética

versión On-line ISSN 2174-5145versión impresa ISSN 2173-1292

Rev Esp Nutr Hum Diet vol.26 no.4 Pamplona oct./dic. 2022  Epub 10-Jul-2023

https://dx.doi.org/10.14306/renhyd.26.4.1726 

INVESTIGATIONS

Food consumption and weight status among students in the third cycle of basic education and their parents: a cross-sectional study

Consumo de alimentos y estado de peso en estudiantes de tercer ciclo de educación básica y sus padres: un estudio transversal

Leandro Oliveiraa  *  , conception, design of the research and to the acquisition of the data, drafting the manuscript, analysis of the data, interpretation of data, critically revised the manuscript; Francisco Sousab  c  , contributed to conception and design of the research and to the acquisition of the data, contributed to the interpretation of data, supervision and final writing, critically review of the manuscript; Maria Graça da-Silveirad  e  , conception, design of the research and to the acquisition of the data, interpretation of data, supervision and final writing, critically review of the manuscript

aCBIOS - Universidade Lusófona's Research Center for Biosciences & Health Technologies, Lisboa, Portugal

bSchool of Social Sciences and Humanities, University of the Azores, Ponta Delgada, Azores, Portugal

cInterdisciplinary Centre of Social Sciences - Campus of the University of Azores CICS.NOVA.UAc, Ponta Delgada, Azores, Portugal

dSchool of Agrarian and Environment Sciences, University of the Azores, Angra do Heroísmo, Azores, Portugal

eBiotechnology Centre of Azores, Angra do Heroísmo, Azores, Portugal

Abstract

Introduction:

Eating behaviors acquired in childhood tend to be perpetuated in adulthood, so adherence to a healthy diet from an early age becomes important to prevent the onset of the occurrence of diet-related chronic non-communicable diseases. The aim of this study is to evaluate the food consumption of students in the third cycle of basic education and their parents and its relationship with weight status.

Methodology:

This is a cross-sectional study. Data from 358 students and 318 parents living on Terceira Island (Azores, Portugal) were included in the study. A questionnaire was developed to collect sociodemographic, dietary habits and anthropometric data, this was applied between May and June 2015. A food frequency questionnaire was used, and weight and height were used to calculate the body mass index. A descriptive analysis of the variables under study was performed and the Mann-Whitney's test was used to compare the means between groups.

Results:

A high prevalence of pre-obesity/obesity (students: 33.0%; parents: 62.4%) was found. Vegetables are consumed most often by parents while fruits, fast food and sweets are consumed more frequently by students. Normal weight students reported a higher frequency of soy, olive oil, sunflower oil, and sweets compared with overweight students, on the other hand overweight parents reported a higher frequency of consumption of milk, pork, fatty fish, potatoes, vegetables, citrus fruits, and sunflower oil, compared with normal weight parents.

Conclusions:

Given the high prevalence of pre-obesity/obesity found, as well as the high frequency of consumption of unhealthy foods, it is recommended that health promotion measures be taken in these schools.

Keywords: School; Adolescents; Children; Parents; Food

Resumen

Introducción:

Las conductas alimentarias adquiridas en la infancia tienden a perpetuarse en la edad adulta, por lo que la adherencia a una dieta saludable desde edades tempranas cobra importancia para prevenir la aparición de enfermedades crónicas no transmisibles relacionadas con la dieta. El objetivo de este estudio es evaluar el consumo de alimentos de los estudiantes del tercer ciclo de educación básica y sus padres, y su relación con el estado de peso.

Metodología:

Este es un estudio transversal. Se incluyeron datos de 358 alumnos y 318 padres residentes en la Isla Terceira (Azores, Portugal). Se elaboró un cuestionario para recoger datos sociodemográficos, de hábitos alimentarios y antropométricos, fue aplicado directamente entre mayo y junio de 2015. Se utilizó un cuestionario de frecuencia de alimentos y se utilizó el peso y la talla para calcular el índice de masa corporal. Se realizó un análisis descriptivo de las variables en estudio y se utilizó la prueba de Mann-Whitney para comparar las medias entre grupos.

Resultados:

Se encontró una alta prevalencia de pre-obesidad/obesidad (estudiantes: 33,0%; padres: 62,4%). Las verduras son consumidas con mayor frecuencia por los padres, mientras que las frutas, la comida rápida y los dulces son consumidos con mayor frecuencia por los estudiantes. Los estudiantes normopeso reportaron una mayor frecuencia de consumo de soya, aceite de oliva, aceite y dulces en comparación con los estudiantes con sobrepeso, mientras que los padres con sobrepeso reportaron una mayor frecuencia de consumo de leche, cerdo, pescado graso, papas, verduras, cítricos y aceite, en comparación con los padres de peso normal.

Conclusiones:

Dada la alta prevalencia de pre-obesidad/obesidad encontrada, así como la alta frecuencia de consumo de alimentos poco saludables, se recomienda tomar medidas de promoción de la salud en estas escuelas.

Palabras clave: Escuela; Adolescentes; Niños; Padres; Alimentos

Key messages

  1. A high prevalence of excess weight was reported in children and their parents.

  2. Vegetables are consumed most often by parents while fruits, fast food and sweets are consumed more frequently by students.

  3. Normal weight students reported a higher frequency of soy, olive oil, sunflower oil, and sweets.

  4. Overweight parents reported a higher frequency of consumption of milk, pork, fatty fish, potatoes, vegetables, citrus fruits, and sunflower oil.

Introduction

An unbalanced diet, that is, rich in processed foods and/ or with low consumption of fruit and vegetables, is a key risk factor in the etiology of many chronic diseases, such as cardiovascular diseases, certain types of cancer, diabetes, and obesity1. In Portugal, more than half of the adult population (57.1%) was overweight for their height: 22.3% of the population was classified as obese and 34.8% as pre-obese2. In childhood, the most recent study by Childhood Obesity Surveillance Initiative (COSI Portugal) 20193 reports that 11.9% of children were obese and 29.7% were overweight (including obesity). The Autonomous Region of the Azores had the highest prevalence of childhood overweight in the country (35.9%)3. Portugal presents a decrease in the prevalence of childhood obesity, following the trend of some countries4,5, even so, in 31 European countries, Portugal is the 14th with the highest prevalence of childhood obesity3.

The Portuguese dietary guidelines (Roda dos Alimentos) consist of 7 food groups of different sizes, the recommended number of servings depends on individual energy needs (Cereals and derivatives, tubers - 4 to 11; Vegetables - 3 to 5; Fruit - 3 to 5; Dairy products - 2 to 3; Meat, fish, and eggs - 1.5 to 4.5; Pulses - 1 to 2; Fats and oils - 1 to 3). It is recommended that children aged 1 to 3 years should be guided by the lower limits and active men and adolescent boys by the upper limits; the rest of the population should be guided by the intermediate values6. However, studies have shown that these recommendations have not been followed2,3.

The Portuguese population has a consumption of “Fruit” and “Vegetables” below the recommended values (13% vs. 20% and 14% vs. 23%, respectively) and a consumption of “Meat, fish and eggs” above the recommended values (17% vs. 5%)2. In the case of children, in the 5th COSI Portugal round, it was observed that the daily consumption of meat, between 2016 and 2019, decreased from 17.3% to 9.2%, maintaining, in 2019, this consumption was higher than that of fish (3.8%)3. About 80.0% of the child population consumed cookies/sweet cookies, cakes, and donuts up to 3 times a week and 71.3% consumed sugary soft drinks3.

Deviation from healthy eating guidelines is also found in other countries that report poor eating habits, characterized by a low intake of fruits, vegetables, and dairy products, along with a high intake of sugary drinks and frequent consumption of sweets and snacks7,8.

Eating habits from a very early age tend to be maintained throughout the life cycle, with implications such as being very selective and having little food variety, or high responsiveness to food stimuli and an increased risk of overweight9. It is known that children's eating behaviors and weight are difficult to directly modify, however parents' eating practices are a potential target for interventions to promote healthy eating habits and prevent overweight in children9. It is important to study food consumption among children and parents for the development of more effective community or clinical interventions to promote healthy eating habits and health-promoting foods. This study aims to evaluate and relate the food consumption of certain foods and the weight status of students in the third cycle of basic education and their parents.

Methodology

Study design and sample

This study consists of a cross-sectional observational analysis that used data from the “Health-promoting foods in a school context - more knowledge, better growth” project that aimed to improve knowledge and consumption of health-promoting foods in the school community of Terceira Island (Azores, Portugal). Data collection took place between May and June 2015. The population of this study was students of the 3rd cycle of basic education (with an expected age between 12 and 14 years old) and their respective parents from basic schools on Terceira Island. On this island there are 7 organic units of the regional education system (4 in the municipality of Angra do Heroísmo and 3 in the municipality of Praia da Vitória). Of these, 5 schools agreed to participate in the study: 3 in the municipality of Angra do Heroísmo (1 was in a rural zone, another in the city center, and another in the city outskirts), and 2 in the municipality of Praia da Vitória (1 was in a rural zone and the other in the city center). From these schools, at least 50% of the classes of each year of education of the 3rd cycle were selected randomly. Thus, our sample consisted of at least 50% of the classes in the third cycle of basic education from the 5 schools that agreed to participate in the study.

To participate in the study, students had to be enrolled in the third cycle of basic education, accept to participate in the study, and have authorization from their parents (through an informed consent form in accordance with the Declaration of Helsinki principles).

Procedure and questionnaire

The direct application questionnaire was developed to meet the objectives of the project, and was distributed by the schools, and the distribution and collection of the same by the classes were carried out by the teachers. Questionnaires for students were completed in the classroom and those for parents were completed at home. In this study, sections of the questionnaire referring to sociodemographic characterization, anthropometric assessment, and food consumption were analyzed.

The food frequency questionnaire applied was validated for the adult population10,11, comparing the information reported in it with 7-day food diaries at 4 times of the year and with samples of adipose tissue12, in addition, this questionnaire was also validated for adolescents from 13 years old13. It´s also important to highlight that this food frequency questionnaire has two versions: one for self-completion by the participant (which requires a higher level of literacy) and one to be applied by an interviewer, which has an extra section for recording the portions consumed (equal to, higher or lower than the standard average portion described)13. Since the questionnaire would be applied in that direct way, we simplified its application, and therefore we opted for a qualitative version. Thus, the questionnaire was adapted and was composed of a scale with nine frequency levels (never or less than once a month, one to three times a month, once a week, two to four times a week, five to six times a week, once a day, two to three times a day, four to five times a day, six or more times a day), and a list of 46 foods/set of foods grouped into seven categories (dairy; meat, fish, and eggs; bread, cereals and similar; vegetables; fruits; fats; drinks and miscellaneous). From this questionnaire, for the students, some foods (yogurt with probiotics, fiber-rich yogurts, fermented beverages for cholesterol reduction, and margarine with phytosterols) were excluded because they are not recommended for children and could be difficult to identify by them.

Weight and height were self-reported, the body mass index (BMI) was calculated by the formula weight (kg) / (height2) (m)14, and its classification was performed according to the criteria of the World Health Organization (for students15: BMI-for-age [5-19 years] - thinness/underweight: <-2SD, normal weight: between -2SD and +1SD, overweight: >+1SD [equivalent to BMI 25 kg/m2 at 19 years], obesity: >+2SD [equivalent to BMI 30 kg/m2 at 19 years]; and adults16: underweight [<18.5 kg/m2], normal weight (18.5 e 24.9 kg/m2), overweight [pre-obesity and obesity: >24.9 kg/m2]). The detailed information regarding the projects' methodology can be found in a previous study17.

Statistical analysis

Statistical treatment was performed with the support of IBM SPSS Statistics, version 26.0 for Windows. For the descriptive analysis, categorical variables are presented as frequencies (n and %), and continuous variables as means with standard deviations (SD). The normality was analyzed using the kurtosis and skewness, which confirmed the non-normal distribution of the sample, the Mann-Whitney's test was used to compare, the means and mean ranks of independent groups, respectively. In the application of the Mann-Whitney test, two independent groups were assumed: students and parents; normal weight students and overweight students; normal weight parents and overweight parents; the ordinal variable consisted of the frequency of food consumption. The association between variables was measured using Spearman's correlation coefficient (ρ). A value of p<0.05 was accepted for the statistical significance of the hypothesis tested.

Results

The sociodemographic characterization of the participants (students and parents) is presented in Table 1. Most students were female (56.8%), were 14 (SD=1.2) years old, lived in Angra do Heroísmo (73.9%), were Portuguese (97.8%), had a household size of 4 members (43.4%). Regarding parents, most were female (92.5%), were 42 (SD=5.9) years old, married (83.9%), lived in Angra do Heroísmo (72.1%), were Portuguese (98.1%), had completed the second cycle of basic education (corresponding to six years of schooling - 30.3%), had a household composed of four elements (48.1%) and were employed (68.1%).

Table 1. Sociodemographic characteristics. 

Students n (%) Parents n (%)
Sex n=358 n=318
Male 153 (42.4) 24 (7.5)
Female 205 (56.8) 294 (92.5)
Age (years) - Mean (standard deviation) 14 (1.2) 42 (5.9)
Marital status - n=317
Single - 10 (3.2)
Married - 266 (83.9)
Divorced - 33 (10.4)
Widower - 8 (2.5)
Nationality n=358 n=318
Portuguese 353 (97.8) 312 (98.1)
Other 5 (1.4) 6 (1.9)
City of residence n=356 n=305
Angra do Heroísmo 263 (73.9) 220 (72.1)
Praia da Vitória 93 (26.1) 85 (27.9)
Education - n=310
Basic Education - 1st cycle incomplete - 14 (4.5)
Basic Education - 1st cycle - 31 (10.0)
Basic Education - 2nd cycle - 94 (30.3)
Basic Education - 3rd cycle - 51 (16.5)
High school - 59 (19.0)
University education - 61 (19.7)
Professional situation - n=311
Employee - 211 (68.1)
Domestic - 72 (23.2)
Unemployed - 24 (7.7)
Retired - 3 (1.0)
Household n=358 n=320
Two elements 16 (4.5) 12 (3.8)
Three elements 79 (22.1 79 (24.7)
Four elements 155 (43.4) 154 (48.1)
Five or more elements 107 (30.0) 75 (23.4)
Weight status* n=312 n=294
Low weight 4 (1.3) 5 (1.7)
Normal weight 205 (65.7) 105 (35.8)
Pre-obesity 75 (24.0) 112 (38.2)
Obesity 28 (9.0) 71 (24.2)

*Classification was performed according to the criteria of the World Health Organization (for students15: BMI-for-age [5-19 years] - thinness/underweight: <-2SD, normal weight: between -2SD and +1SD, overweight, >+1SD [equivalent to BMI 25 kg/m2 at 19 years], obesity: >+2SD [equivalent to BMI 30 kg/m2 at 19 years]; and adults16: underweight [<18.5 kg/m2], normal weight [18.5 e 24.9 kg/m2], overweight [pre-obesity and obesity: >24.9 kg/m2]).

Regarding nutritional status, about 30% of students and 60% of parents were classified as being pre-obese/obese. A relationship between parents' BMI and students' BMI (r: 0.352; p<0.001) was found.

Regarding parents, most were female (92.5%), were 42 (SD=5.9) years old, married (83.9%), lived in Angra do Heroísmo (72.1%), were Portuguese (98.1%), had completed the second cycle of basic education (corresponding to six years of schooling - 30.3%), had a household composed of four elements (48.1%) and were employed (68.1%).

Regarding nutritional status, about 30% of students and 60% of parents were classified as being pre-obese/obese. A relationship between parents' BMI and students' BMI (r: 0.352; p<0.001) was found.

Table 2 reports the food consumption among students in the third cycle of basic education and their parents. In general, students and parents have a high frequency of dairy consumption (about 30% to 80%). Lean and red meat and eggs are consumed more frequently on a weekly basis (about 40% to 50% “two or more times a week”) than fish (about 20% to 30% “two or more times a week”). In relation to the group of bread, cereals and tubers, there is a daily consumption of bread, and a frequent weekly presence of rice, pasta, and potatoes. Whole grains and sweet potatoes have a low frequency of consumption, with about 70% of students and parents never consuming flaxseed or consuming less than once a month. Vegetables, fruits, and pulses have a considerable weekly consumption based on “two or more times a week”, but about 70% of the participants consume less than once a month or never consume soy. The same happens for fatty fruits and berries (50%). The consumption of oils and fats has a weekly basis with around 50% consumption two or more times a week. Of note is the low daily prevalence of olive oil consumption, which is consumed by less than 40% of the participants. Regarding beverages, there is a high daily consumption by about 80% of the participants, and weekly consumption of juices enriched with vitamin C (50%) and soft drinks (50%). About 40-50% of participants consume sweets and fast-food weekly and consume vegetable soup daily. About 40% of participants consume less than once a month or never drink green tea.

Table 2. Food consumption among students of third cycle of basic education and their parents. 

Foods Students (S) / Parents (P) n Never or less than once a month One to three times per month Once a week Two or more times per week Daily Two or more times per day p*
n (%) n (%) n (%) n (%) n (%) n (%)
Dairy
Milk S 348 6 (1.7) 7 (2.0) 9 (2.6) 69 (19.8) 88 (25.3) 169 (48.6) <0.001
P 306 18 (5.9) 13 (4.2) 16 (5.2) 47 (15.4) 128 (41.8) 84 (27.5)
Yogurts (flavors, pieces) S 349 41 (11.7) 40 (11.5) 60 (17.2) 111 (31.8) 63 (18.1) 34 (9.7) 0.021
P 296 44 (14.9) 23 (7.8) 28 (9.5) 79 (26.7) 94 (31.8) 28 (9.5)
Yogurt with Probiotics P 280 159 (56.8) 33 (11.8) 29 (10.4) 27 (9.6) 24 (8.6) 8 (2.9) -
Fiber-rich yogurts P 287 162 (56.4) 35 (12.2) 28 (9.8) 32 (11.1) 23 (8.0) 7 (2.4) -
Fermented beverages for cholesterol reduction P 292 245 (83.9) 25 (8.6) 8 (2.7) 9 (3.1) 3 (1.0) 2 (0.7) -
Cheese S 349 37 (10.6) 34 (9.7) 57 (16.3) 113 (32.4) 63 (18.1) 45 (12.9) 0.673
P 299 18 (6.0) 27 (9.0) 54 (18.1) 120 (40.1) 65 (21.7) 15 (5.0)
Meat, fish and eggs
Lean meat (chicken, turkey, rabbit) S 350 14 (4.0) 43 (12.3) 85 (24.3) 158 (45.1) 29 (8.3) 21 (6.0) 0.051
P 308 6 (1.9) 20 (6.5) 79 (25.6) 158 (51.3) 39 (12.7) 6 (1.9)
Red meat (beef, duck, etc.) S 348 37 (10.6) 51 (14.7) 68 (19.5) 142 (40.8) 28 (8.0) 22 (6.3) 0.426
P 304 22 (7.2) 43 (14.1) 81 (26.6) 129 (42.4) 20 (6.6) 9 (3.0)
Meat from the Azores (beef) S 346 20 (5.8) 51 (14.7) 85 (24.6) 143 (41.3) 27 (7.8) 20 (5.8) 0.020
P 300 24 (8.0) 45 (15.0) 82 (27.3) 127 (42.3) 17 (5.7) 5 (1.7)
Pork S 347 13 (3.7) 51 (14.7) 94 (27.1) 134 (37.1) 32 (9.2) 23 (6.6) 0.387
P 289 10 (3.5) 30 (10.4) 88 (30.4) 138 (47.8) 17 (5.9) 6 (2.1)
Lean fish (hake, pout, sea bream, etc.) S 349 57 (16.3) 88 (25.2) 106 (30.4) 70 (20.1) 18 (5.2) 10 (2.9) 0.475
P 289 74 (24.8) 54 (18.1) 75 (25.2) 79 (26.5) 12 (4.0) 4 (1.3)
Fatty fish: sardines, mackerel, tuna, salmon, etc.) S 349 44 (12.6) 92 (26.4) 91 (26.1) 103 (29.5) 10 (2.9) 9 (2.6) 0.739
P 309 29 (9.4) 70 (22.7) 116 (37.5) 77 (24.9) 12 (3.9) 5 (1.6)
Eggs S 345 8 (2.3) 34 (9.9) 101 (37.7) 162 (47.0) 26 (7.5) 14 (4.1) 0.296
P 302 1 (0.3) 19 (6.3) 113 (37.4) 146 (48.3) 18 (6.0) 5 (1.7)
Bread, cereals and similars
Bread S 347 1 (0.3) 8 (2.3) 15 (4.3) 100 (28.8) 80 (23.1) 143 (41.2) 0.370
P 293 2 (0.7) 6 (2.0) 7 (2.4) 43 (14.7) 129 (44.0) 106 (36.2)
Whole grains (including wholemeal bread) S 347 91 (26.2) 32 (9.2) 45 (13.0) 82 (23.6) 53 (15.3) 44 (12.7) 0.064
P 294 109 (37.1) 28 (9.5) 17 (5.8) 51 (17.3) 72 (24.5) 17 (5.8)
Rice S 347 3 (0.9) 12 (3.4) 41 (11.7) 215 (61.6) 34 (9.7) 44 (12.6) <0.001
P 307 4 (1.3) 11 (3.6) 55 (17.9) 199 (64.8) 24 (7.8) 14 (4.6)
Pasta S 348 4 (1.1) 13 (3.7) 50 (14.4) 203 (56.3) 40 (11.5) 38 (10.9) <0.001
P 301 4 (1.3) 15 (5.0) 61 (20.3) 185 (61.5) 21 (7.0) 15 (5.0)
Potato S 347 11 (3.2) 19 (5.5) 59 (17.0) 189 (52.4) 41 (11.8) 28 (8.1) 0.001
P 304 5 (1.6) 19 (6.3) 74 (24.3) 168 (55.3) 24 (7.9) 14 (4.6)
Sweet potato S 343 141 (41.1) 76 (22.2) 47 (13.7) 54 (15.7) 16 (4.7) 9 (2.6) 0.001
P 296 58 (19.6) 115 (38.9) 55 (18.6) 46 (15.5) 17 (5.7) 5 (1.7)
Flax seeds S 346 235 (67.9) 39 (11.3) 33 (9.5) 23 (6.6) 12 (3.5) 4 (1.2) 0.257
286 210 (73.4) 24 (8.4) 12 (4.2) 22 (7.7) 12 (4.2) 6 (2.1)
Vegetables
Vegetables (kale, cabbage, lettuce, broccoli, etc.) S 348 32 (9.2) 33 (9.5) 66 (19.0) 140 (40.2) 39 (11.2) 38 (10.9) <0.001
P 305 3 (1.0) 11 (3.6) 26 (8.5) 148 (48.5) 69 (22.6) 48 (15.7)
Fennel S 346 206 (59.5) 56 (16.2) 41 (11.8) 29 (8.4) 9 (2.6) 5 (1.4) 0.010
P 280 192 (68.6) 48 (17.1) 14 (5.0) 15 (5.4) 8 (2.9) 3 (1.1)
Roots (carrots, beets, turnips, radishes, etc.) S 348 64 (18.4) 52 (14.9) 87 (25.0) 98 (28.2) 25 (7.2) 22 (6.3) <0.001
P 295 26 (8.8) 28 (9.5) 47 (15.9) 124 (42.0) 45 (15.3) 25 (8.5)
Bulbs (garlic, onion, etc.) S 347 49 (14.1) 42 (12.1) 73 (21.0) 120 (34.6) 40 (11.5) 23 (6.6) <0.001
P 293 9 (3.1) 8 (2.7) 23 (7.8) 126 (43.0) 83 (28.3) 44 (15.0)
Vegetable Fruits (tomatoes, peppers, cucumbers, pumpkin, etc.) S 347 46 (13.3) 61 (17.6) 67 (19.3) 117 (33.7) 30 (8.6) 26 (7.5) <0.001
P 308 12 (3.9) 27 (8.8) 52 (16.9) 126 (40.9) 57 (18.5) 34 (11.0)
Pulses (beans, chickpeas, peas) S 347 42 (12.1) 62 (17.9) 96 (27.7) 100 (28.8) 30 (8.6) 17 (4.9) <0.001
P 304 8 (2.6) 34 (11.2) 76 (25.0) 141 (46.4) 28 (9.2) 17 (5.6)
Soy S 361 248 (71.5) 35 (10.1) 24 (6.9) 20 (5.8) 13 (3.7) 7 (2.0) 0.110
288 221 (76.7) 29 (10.1) 12 (4.2) 16 (5.6) 7 (2.4) 3 (1.0)
Fruits
Pineapple S 346 118 (34.1) 117 (33.8) 51 (14.7) 42 (12.1) 15 (4.3) 3 (0.9) 0.622
P 291 99 (34.0) 107 (36.8) 44 (15.1) 25 (8.6) 12 (4.1) 4 (1.4)
Apple S 347 10 (2.9) 32 (9.2) 66 (19.0) 126 (36.3) 71 (20.5) 42 (12.1) <0.001
P 307 7 (2.3) 13 (4.2) 29 (9.4) 122 (39.7) 101 (32.9) 35 (11.4)
Banana S 347 30 (8.6) 34 (9.8) 74 (21.3) 120 (34.6) 47 (13.5) 42 (12.1) 0.014
P 302 18 (6.0) 19 (6.3) 46 (15.2) 129 (42.7) 67 (22.2) 23 (7.6)
Citrus fruits (orange, lemon, etc.) S 348 41 (11.8) 46 (13.2) 62 (17.8) 120 (34.5) 43 (12.4) 36 (10.3) <0.001
P 292 17 (5.8) 16 (5.5) 41 (14.0) 125 (42.8) 71 (24.3) 22 (7.5)
Fatty fruits (walnuts, almonds, hazelnuts) S 346 175 (50.6) 91 (26.3) 36 (10.4) 30 (8.7) 9 (2.6) 5 (1.4) 0.790
P 298 157 (52.7) 72 (24.2) 31 (10.4) 16 (5.4) 12 (4.0) 10 (3.4)
Berries (blackberries, raspberries, etc) S 347 131 (37.8) 103 (29.7) 50 (14.4) 43 (12.4) 14 (4.0) 6 (1.7) <0.001
P 293 166 (56.7) 63 (21.5) 32 (10.9) 18 (6.1) 10 (3.4) 4 (1.4)
Others (pear, peach, etc.) S 345 31 (9.0) 74 (21.4) 70 (20.3) 110 (31.9) 28 (8.1) 32 (9.3) 0.263
P 296 22 (7.4) 61 (20.6) 57 (19.3) 98 (33.1) 46 (15.5) 12 (4.1)
Fats
Olive oil S 349 35 (10.0) 43 (12.3) 91 (26.1) 120 (34.4) 38 (10.9) 22 (6.3) <0.001
P 293 3 (1.0) 15 (5.1) 31 (10.6) 131 (44.7) 80 (27.3) 33 (11.3)
Sunflower oil S 343 30 (8.7) 61 (17.8) 86 (25.1) 123 (35.9) 28 (8.2) 15 (4.4) 0.723
P 292 36 (12.3) 47 (16.1) 75 (25.7) 94 (32.2) 31 (10.6) 9 (3.1)
Butter S 346 11 (3.2) 19 (5.5) 47 (13.6) 149 (43.1) 73 (21.1) 47 (13.6) 0.204
P 279 27 (9.1) 8 (2.7) 23 (7.8) 104 (35.1) 106 (35.8) 28 (9.5)
Margarine S 346 134 (38.7) 51 (14.7) 49 (14.2) 60 (17.3) 33 (9.5) 19 (5.5) 0.242
P 279 102 (36.6) 29 (10.4) 41 (14.7) 60 (21.5) 39 (14.0) 8 (2.9)
Margarine with phytosterols P 289 207 (71.6) 20 (6.9) 15 (5.2) 21 (7.3) 19 (6.6) 7 (2.4) -
Drinks and Miscellaneous
Water S 346 2 (0.6) 12 (3.5) 10 (2.9) 48 (13.9) 31 (9.0) 243 (70.2) 0.487
P 301 6 (2.0) 5 (1.7) 4 (1.3) 26 (8.6) 51 (16.9) 209 (69.4)
Green Tea S 345 165 (47.8) 61 (17.7) 32 (9.3) 46 (13.3) 19 (5.5) 22 (6.4) 0.006
P 290 124 (42.8) 32 (11.0) 20 (6.9) 50 (17.2) 34 (11.7) 30 (10.3)
Vegetables soup S 345 18 (5.2) 25 (7.2) 48 (13.9) 135 (39.1) 60 (17.4) 59 (17.1) <0.001
P 301 2 (0.7) 8 (2.7) 21 (7.0) 100 (33.2) 100 (33.2) 70 (23.3)
Juices enriched with Vitamin C S 348 28 (8.0) 41 (11.8) 69 (19.9) 132 (37.9) 39 (11.2) 39 (11.2) <0.001
P 295 68 (23.1) 49 (16.6) 50 (16.9) 70 (23.7) 38 (12.9) 20 (6.8)
Soft drinks (coca-cola, iced tea, etc.) S 349 41 (11.7) 77 (22.1) 79 (22.6) 96 (26.6) 24 (6.9) 32 (9.2) <0.001
P 306 142 (46.4) 64 (20.9) 46 (15.0) 37 (12.1) 9 (2.9) 8 (2.6)
Sweets (chocolates, gummies, etc.) S 348 21 (6.0) 72 (20.7) 94 (27.0) 109 (31.3) 23 (6.6) 29 (8.3) <0.001
P 307 71 (23.1) 90 (29.3) 79 (25.7) 55 (17.9) 8 (2.6) 4 (1.3)
Fast food (hamburgers, pizzas, fries, etc.) S 350 24 (6.9) 93 (26.6) 126 (36.0) 82 (23.4) 14 (4.0) 11 (3.1) <0.001
P 313 62 (19.8) 133 (42.5) 90 (28.8) 24 (7.7) 3 (1.0) 1 (0.3)

*p<0.05; Mann-Whitney test.

Note:For data presentation, the scale levels “two to four times a week” and “five to six times a week” were merged into “two or more times per week” and the “two to three times a day”, “four to five times a day” and “six or more times a day” were merged into “two or more times per day”.

As for food consumption among students and parents it was found that students consume milk more often than parents and less often yogurt. Meat from the Azores (beef), rice, pasta, potato, and fennel are consumed more frequently by students. Vegetables, roots, bulbs, and pulses are consumed most often by parents. Regarding fruits, apples, bananas, citrus fruits, and berries, are consumed more frequently (two or more times per day) by students. As for fats, parents report consuming olive oil more often than students. Finally, in the drinks and miscellaneous group, green tea and soup are consumed more frequently by parents, while juices enriched with vitamin C, soft drinks, sweets, and fast food are consumed more frequently by students. Most parents never consume or consume less than once a month: yogurt with probiotics, fiber-rich yogurts, fermented beverages for cholesterol reduction, and margarine with phytosterols.

Table 3 shows the differences in the frequency of food consumption between normal weight and overweight students and parents (with statistical significance). Normal weight students reported a higher frequency of soy, olive oil, sunflower oil, and sweets compared to students classified as being overweight. Overweight parents reported a higher frequency of consumption of milk, pork, fatty fish, potatoes, vegetables, citrus fruits, and sunflower oil, compared to parents classified as normal weight.

Table 3. Frequency of food consumption between normal weight and overweight students and parents. 

n Never or less than once a month One to three times per month Once a week Two or more times per week Daily Two or more times per day p*
n (%) n (%) n (%) n (%) n (%) n (%)
Students
Soybeans Normal weight 196 129 (65.8) 24 (12.2) 15 (7.7) 15 (7.7) 8 (4.1) 5 (2.6) 0.043
Overweight 101 78 (77.2) 7 (6.9) 9 (8.9) 3 (3.0) 3 (3.0) 1 (1.0)
Olive oil Normal weight 197 15 (7.6) 19 (9.6) 55 (27.9) 75 (38.1) 21 (10.7) 12 (6.1) 0.045
Overweight 102 12 (11.8) 19 (18.6) 26 (25.5) 30 (29.4) 11 (10.8) 4 (3.9)
Sunflower oil Normal weight 195 11 (5.6) 30 (15.4) 50 (25.6) 78 (40.0) 18 (9.2) 8 (4.1) 0.049
Overweight 98 11 (11.2) 18 (18.4) 25 (25.5) 34 (34.7) 6 (6.1) 4 (4.1)
Sweets Normal weight 197 6 (3.0) 40 (20.3) 49 (24.9) 73 (37.1) 13 (6.6) 16 (8.1) 0.018
101 9 (8.9) 25 (24.8) 30 (29.8) 24 (23.8) 5 (5.0) 8 (7.9)
Parents
Milk Normal weight 100 11 (11.0) 6 (6.0) 8 (8.0) 16 (16.0) 38 (38.0) 21 (21.0) 0.002
Overweight 174 5 (2.9) 7 (4.0) 8 (4.6) 24 (13.8) 78 (44.8) 52 (29.9)
Pork meat Normal weight 94 4 (4.3) 9 (9.6) 36 (38.3) 42 (44.7) 2 (2.1) 1 (1.1) 0.029
Overweight 167 4 (2.4) 18 (10.8) 44 (26.3) 85 (50.9) 12 (7.2) 4 (2.4)
Fatty fish Normal weight 101 10 (9.9) 26 (25.7) 40 (39.6) 23 (22.8) 2 (2.0) 0 (0.0) 0.044
Overweight 176 15 (8.5) 34 (19.3) 67 (38.1) 48 (27.3) 9 (5.1) 3 (1.7)
Potato Normal weight 98 0 (0.0) 6 (6.1) 31 (31.6) 56 (57.1) 3 (3.1) 2 (2.0) 0.033
Overweight 173 4 (2.3) 10 (5.8) 37 (21.4) 98 (56.6) 17 (9.8) 7 (4.0)
Vegetables Normal weight 101 1 (1.0) 1 (1.0) 13 (12.9) 56 (55.4) 19 (18.8) 11 (10.9) 0.044
Overweight 167 1 (0.6) 9 (5.8) 12 (7.0) 73 (42.4) 44 (25.6) 33 (19.2)
Citrinus fruits Normal weight 98 6 (6.1) 8 (8.2) 15 (15.3) 44 (44.9) 20 (20.4) 5 (5.1) 0.017
Overweight 165 7 (4.2) 5 (3.0) 20 (12.1) 75 (45.5) 46 (27.9) 12 (7.3)
Sunflower oil Normal weight 93 17 (18.3) 17 (18.3) 25 (26.9) 27 (29.0) 4 (4.3) 3 (3.2) 0.017
Overweight 169 13 (7.7) 27 (16.0) 47 (27.8) 60 (35.5) 19 (11.2) 3 (1.8)

*p<0.05; Mann-Whitney test.

Note 1: For data presentation, the scale levels “two to four times a week” and “five to six times a week” were merged into “two or more times per week” and the “two to three times a day”, “four to five times a day” and “six or more times a day” were merged into “two or more times per day”.

Note 2:Body Mass Index classification (cut-off points): students15 (BMI-for-age [5-19 years]: normal weight: between -2SD and +1SD, overweight: >+1SD [equivalent to BMI 25 kg/m2 at 19 years]); parents16 (normal weight [18.5 e 24.9 kg/m2], overweight [pre-obesity and obesity: >24.9 kg/m2]).

Discussion

This cross-sectional study aimed to evaluate the food consumption of certain foods by students in the third cycle of basic education and their parents. It is also intended to report your food consumption with your weight status. A high prevalence of pre-obesity/obesity was found in both groups of your sample.

In fact, our results are consistent with recent studies2 on the prevalence of overweight/obesity in Portugal, which point out the Autonomous Region of the Azores as having one of the highest prevalence of pre-obesity/obesity at the national level (adults: Portugal - 58,1%, Azores - 61.6%; children: Portugal [10-17 years old] - 32,3%2, Azores [6-8 years old] - 35,9%3).

Like other studies18-20, a relationship between parents' BMI and students' BMI was found. In fact, parents model children's eating behavior9 and lifestyle21,22. However, this study does not establish a causal relationship between these variables, so the interpretation must be careful, parents are not necessarily “blamed” for children's overweight.

In general, our dietary results are in line with those reported for the Portuguese population2, however, it appears that both children and parents do not comply with the recommendations of the Portuguese dietary guidelines6 (in terms of frequency of food consumption).

The high consumption of milk and dairy products in the Azores was corroborated by another study23. It is also worth noting that the dairy sector in the Azores is of great importance since there is a large production of milk and dairy products there, having a relevant impact on the archipelago's economy24. Besides that, it is now well established that the regular consumption of fermented foods could be beneficial to health25.

In relation to the high frequency of consumption of meat and eggs (weekly basis), it refers to what is reported in the literature that the Portuguese consume “Meat, fish and eggs” above the recommended values2. Although meat and meat products are a source of micronutrients, including iron, zinc, selenium, vitamin D, and vitamin B12, their excessive consumption can lead to several health problems (overconsumption of energy, and fat, resulting in excess weight, obesity and an increased risk of chronic diseases, like cardiovascular disease and type 2 diabetes)26. Therefore, the consumption of meat, and meat products, when integrated into a healthy diet, provides a rich source of high-quality dietary protein and essential nutrients27.

Unlike other studies, a low frequency of fish consumption was found2,28. In fact, it is known that the main motivating factors for the purchase of fish are the species, the price, and health, and that the importance of factors differs between social classes, with the price being more important for social classes with lower incomes29. It should be noted that a news item from the time when the study was carried out already reported that the quantity of fish dropped by 18% between 2010 and 2015 and the price increased by 7.8% in Azores30.

Higher consumption of olive oil would be expected since Portugal is considered a country where the Mediterranean food pattern prevails and where olive oil is the fat of choice and consumed daily. The low frequency of consumption of olive oil (daily based) reported by students may be because students who have their meals in the canteen do not identify olive oil as the fat used in the preparation of these meals. On the other hand, according to the National Food and Physical Activity Survey2, 31% of the Portuguese have low adherence to the Mediterranean dietary pattern, with moderate adherence representing 50% of the population. It is recommended to promote the consumption of olive oil as a source of fat in the context of a healthy diet. The literature has demonstrated several health benefits of olive oil consumption, namely beneficial effects on the cardiovascular system and can help to prevent cancer and diabetes mellitus31. These properties have been associated with the content of nutrients and phytochemicals, especially polyphenols and fatty acids present in olive oil32.

Although water was identified in this study as the most consumed beverage, the high consumption of soft drinks and/or juices enriched with vitamin C is a reality, especially among students, which about 20% consume them daily. These data are supported by some studies2,33,34. Consumption of soft drinks and sugary drinks only provide energy and have few nutritional benefits lacking micronutrients, vitamins, and minerals. It should also be noted that its consumption can contribute to the deterioration of health in general, with special emphasis on oral health34. Therefore, its consumption should be avoided.

According to National Food and Physical Activity Survey2, food products such as cakes, sweets, cookies, salty snacks, pizzas, soft drinks, nectars, and alcoholic beverages, which should not be part of our daily diet, represent around 21% of total consumption in the Portuguese population. These results agree with ours, especially among students.

The students in this study can be framed in an unhealthy diet pattern, like about half of Portuguese adolescents, since they have low consumption of fruits, vegetables, and pulses and higher consumption of sweets and fast food35.

Thus the consumption of fruits and vegetables and fish should be promoted, and the consumption of fast food and sweets should be discouraged, in order to adopt a healthy diet1. It cannot be stressed enough that a diet rich in processed foods and/or with low consumption of fruit and vegetables, is a key risk factor for the emergence of many chronic diseases like cardiovascular diseases, certain types of cancer, diabetes, and obesity1

The results of the differences in the frequency of food consumption between normal weight and pre-obese/obese students and parents may suggest the existence of some myths related to food36, namely that foods considered healthy or with health benefits can be consumed in large quantities such as milk, fruits, vegetables, and olive oil. In the case of the higher frequency of consumption of sweets by normal-weight students, a possible explanation is a compensation of the energy ingested with physical activity, however, this was not evaluated in this study.

According to a study37 that aimed to determine strategies that could increase the consumption of fruits and vegetables in children, some that can be used in a school context were highlighted, namely: use relevant motivators for children to increase their preference for fruit and vegetables; increase food literacy education across a range of settings; and develop salient key messages and cooking tips that could be done with parents. In this way, food education sessions and cooking workshops could be developed for students and parents. Integrate health-promoting food-related content into the school curriculum to increase health/food literacy. Admitting the importance of consuming foods of local origin, not only at an economic level, but also at an environmental level, and having verified a low consumption of some of these foods, their consumption could be promoted in these community-based interventions.

Limitations and strengths

This study has some limitations, namely its cross-sectional nature, which does not allow an assessment of the temporal relationship between food frequency and weight status, nor extrapolate the results to the general population. In addition, the use of self-administered questionnaires could lead to a social desirability bias, which may have led to the over-reporting of healthy foods and/or under-reporting of unhealthy foods or weight. However, this appears to be more likely to occur in adults than in children38.

On the other hand, it should be noted that this is a pioneering study in the Azores region that crosses data from students with their parents. In addition, the results of this study can be used to develop community-based interventions at the school level, and involve parents, in a broader way.

Conclusions

A high prevalence of pre-obesity/obesity was found. Normal weight students reported a higher frequency of soy, olive oil, sunflower oil, and sweets, on the other hand, overweight parents reported a higher frequency of consumption of milk, pork, fatty fish, potatoes, vegetables, citrus fruits, and sunflower oil. Our results suggest that is necessary to adopt public policies, involving schools, parents, and government to implement healthy eating habits and demystify some beliefs, to promote the consumption of health-promoting foods, especially the ones produced locally, to make food sustainable and contribute to the local economy.

Acknowledgements

The authors would like to express their thanks to all participants.

References

1. Jayedi A, Soltani S, Abdolshahi A, et al. Healthy and unhealthy dietary patterns and the risk of chronic disease: an umbrella review of meta-analyses of prospective cohort studies. Br J Nutr. 2020; 124(11): 1133-44. doi: 10.1017/S0007114520002330. [ Links ]

2. Lopes C, Torres D, Oliveira A, et al. Inquérito Alimentar Nacional e de Atividade Física, IAN-AF 2015-2016: Relatório de resultados. Porto: Universidade do Porto 2017. https://www.ian-af.up.pt/sites/default/files/IAN-AF%20Relat%C3%B3rio%20Resultados_0.pdfLinks ]

3. Rito A, Mendes S, Baleia J, et al. Childhood Obesity Surveillance Initiative: COSI Portugal 2019. Lisboa: Instituto Nacional de Saúde Doutor Ricardo Jorge, 2021. [ Links ]

4. Soric M, Jurak G, Ðuric S, et al. Increasing trends in childhood overweight have mostly reversed: 30 years of continuous surveillance of Slovenian youth. Sci Rep. 2020; 10(1). doi: 10.1038/s41598-020-68102-2. [ Links ]

5. Lauria L, Spinelli A, Buoncristiano M, et al. Decline of childhood overweight and obesity in Italy from 2008 to 2016: results from 5 rounds of the population-based surveillance system. BMC Public Health. 2019; 19(1). doi: 10.1186/s12889-019-6946-3. [ Links ]

6. Franchini B, Rodrigues S, Graça P, et al. A Nova Roda dos Alimentos ...um guia para a escolha alimentar diária! Nutrícias. 2004; 4: 55-56. [ Links ]

7. Al-Jawaldeh A, Taktouk M, Nasreddine L. Food Consumption Patterns and Nutrient Intakes of Children and Adolescents in the Eastern Mediterranean Region: A Call for Policy Action. Nutrients. 2020; 12(11). doi: 10.3390/nu12113345. [ Links ]

8. Jezewska-Zychowicz M, Gebski J, Kobylinska M. Food Involvement, Eating Restrictions and Dietary Patterns in Polish Adults: Expected Effects of Their Relationships (LifeStyle Study). Nutrients. 2020: 12(4). doi: 10.3390/nu12041200. [ Links ]

9. Scaglioni S, Cosmi V, Ciappolino V, et al. Factors Influencing Children's Eating Behaviours. Nutrients. 2018; 10(6). doi: 10.3390/nu10060706. [ Links ]

10. Lopes C. Alimentação e enfarte agudo do miocárdio: Estudo caso-controlo de base comunitária. 2000. Dissertação (Doutoramento em Biologia Humana) - Faculdade de Medicina da Universidade do Porto, 2000. https://hdl.handle.net/10216/9938Links ]

11. Moreira P, Sampaio D, Almeida M. Validade relativa de um questionário de frequência de consumo alimentar através da comparação com um registo alimentar de quatro dias. Acta Med Port. 2003; 16: 412-20. [ Links ]

12. Lopes C, Aro A, Azevedo A, et al. Intake and adipose tissue composition of fatty acids and risk of myocardial infarction in a male Portuguese community sample. J Am Diet Assoc. 2007; 107(2): 276-86. doi: 10.1016/j.jada.2006.11.008. [ Links ]

13. Mendes V. Assessing dietary intake in adolescents: the role of food portion size evaluation in food frequency questionnaires. 2014. Dissertação (Mestre em Epidemiologia) - Faculdade de Medicina da Universidade do Porto, 2014. https://repositorio-aberto.up.pt/bitstream/10216/78455/2/34523.pdfLinks ]

14. Khosla T, Lowe CR. Indices of obesity derived from body weight and height. Br J Prev Soc Med. 1967; 21(3): 122-8. doi: 10.1136/jech.21.3.122 [ Links ]

15. Onis M, Onyango AW, Borghi E, et al. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007; 85(9): 660-67. doi: 10.2471/blt.07.043497. [ Links ]

16. Weir CB, Jan A. BMI Classification Percentile And Cut Off Points. StatPearls. Treasure Island (FL): StatPearls Publishing. 2022. [ Links ]

17. Oliveira L, Sousa F, Silveira MG. O projeto: "Alimentos Promotores De Saúde Em Contexto Escolar - Mais Conhecimento Melhor Crescimento". Contexto & Educação. 2019; 34(108): 164-76. doi: 10.21527/2179-1309.2019.108.164-176. [ Links ]

18. Farajian P, Panagiotakos DB, Risvas G, et al. Hierarchical analysis of dietary, lifestyle and family environment risk factors for childhood obesity: the GRECO study. European Journal of Clinical Nutrition. 2014; 68(10): 1107-12. doi: 10.1038/ejcn.2014.89. [ Links ]

19. Liu Y, Chen HJ, Liang L, et al. Parent-Child Resemblance in Weight Status and Its Correlates in the United States. PLOS ONE. 2013; 8(6). e65361. doi: 10.1371/journal.pone.0065361. [ Links ]

20. Lee CY, Ledoux TA, Johnston CA, et al. Association of parental body mass index (BMI) with child's health behaviors and child's BMI depend on child's age. BMC Obes. 2019; 6(1). doi: 10.1186/s40608-019-0232-x. [ Links ]

21. Dozier SGH, Schroeder K, Lee J, et al. The Association between Parents and Children Meeting Physical Activity Guidelines. J Pediatr Nurs. 2020; 52: 70-75. doi: 10.1016/j.pedn.2020.03.007. [ Links ]

22. Nakamura D, Ogawa M, Nakamura T, et al. Impact of Parents' Comprehensive Health Literacy on BMI in Children: A Multicenter Cross-Sectional Study in Japan. J Sch Health. 2018; 88(12): 910-16. doi: 10.1111/josh.12700. [ Links ]

23. Lopes C, Torres D, Oliveira A, et al. National Food, Nutrition, and Physical Activity Survey of the Portuguese General Population 2015-2016: Summary of Results. Porto, Portugal: University of Porto, 2018. [ Links ]

24. Almeida AM, Alvarenga P, Fangueiro D. The dairy sector in the Azores Islands: possibilities and main constraints towards increased added value. Trop Anim Health Prod. 2020; 53(40). doi: 10.1007/s11250-020-02442-z. [ Links ]

25. Sanlier N, Gökcen BB, Sezgin AC. Health benefits of fermented foods. Crit Rev Food Sci Nutr. 2019; 59(3): 506-27. doi: 10.1080/10408398.2017.1383355. [ Links ]

26. Salter AM. The effects of meat consumption on global health. Rev Sci Tech. 2018; 37(1): 47-55. doi: 10.20506/rst.37.1.2739. [ Links ]

27. Giromini C, Givens DI. Benefits and Risks Associated with Meat Consumption during Key Life Processes and in Relation to the Risk of Chronic Diseases. Foods. 2022; 11(14). [ Links ]

28. Carvalho C, Correia D, Severo M, et al. Quantitative risk-benefit assessment of Portuguese fish and other seafood species consumption scenarios. Br J Nutr. 2021: 1-14. doi: 10.1017/s0007114521004773. [ Links ]

29. Coelho ACdS, Faria Junior CH, Sousa KNS. Fatores que influenciam a compra de peixes por classe social no município de Santarém-PA. Agroecossistemas. 2017; 9(1). doi: 10.18542/ragros.v9i1.4773. [ Links ]

30. APEDA. Peixe está mais caro. 2017. Available from: https://pescazores.com/peixe-esta-mais-caro/. [ Links ]

31. Foscolou A, Critselis E, Panagiotakos D. Olive oil consumption and human health: A narrative review. Maturitas. 2018; 118: 60-66. doi: 10.1016/j.maturitas.2018.10.013 [ Links ]

32. Mazzocchi A, Leone L, Agostoni C, et al. The Secrets of the Mediterranean Diet. Does (Only) Olive Oil Matter? Nutrients. 2019; 11(12). doi: 10.3390/nu11122941. [ Links ]

33. Schneider S, Schilling L, Osenbrügge N. Determinants of soft drink consumption among children and adolescents in developed countries - a systematic review. Cent Eur J Public Health. 2021; 29(4): 290-300. doi: 10.21101/cejph.a6755. [ Links ]

34. Tahmassebi JF, BaniHani A. Impact of soft drinks to health and economy: a critical review. Eur Arch Paediatr Dent. 2020; 21(1): 109-17. doi: 10.1007/s40368-019-00458-0. [ Links ]

35. Moraes MM, Oliveira B, Afonso C, et al. Dietary Patterns in Portuguese Children and Adolescent Population: The UPPER Project. Nutrients. 2021; 13(11). doi: 10.3390/nu13113851. [ Links ]

36. Florença SG, Ferreira M, Lacerda I, et al. Food Myths or Food Facts? Study about Perceptions and Knowledge in a Portuguese Sample. Foods. 2021; 10(11). doi: 10.3390/foods10112746. [ Links ]

37. Godrich SL, Davies CR, Darby J, et al. Strategies to Address the Complex Challenge of Improving Regional and Remote Children's Fruit and Vegetable Consumption. Nutrients. 2018; 10(11). doi: 10.3390/nu10111603. [ Links ]

38. Rietmeijer-Mentink M, Paulis WD, van Middelkoop M, et al. Difference between parental perception and actual weight status of children: a systematic review. Matern Child Nutr. 2013; 9(1): 3-22. doi: 10.1111/j.1740-8709.2012.00462.x [ Links ]

FundingThis study was carried out under the “Alimentos Promotores de Saúde em Contexto Escolar - mais conhecimento melhor crescimento” Project funded by Fundação Caloust Gulbenkian through the Literacy in Health 2014 contest - “Citizens and Health: improving information, improve decision”.

CitationOliveira L, Sousa F, da Silveira MG. Food consumption and weight status among students in the third cycle of basic education and their parents: a cross-sectional study. Rev Esp Nutr Hum Diet. 2022; 26(4): 324-37. doi: https://10.14306/renhyd.26.4.1726

Recibido: 19 de Julio de 2022; Aprobado: 29 de Septiembre de 2022; : 01 de Noviembre de 2022

* leandro.oliveira@ulusofona.pt

Assigned Editor

Patricio Pérez-Armijo. Universidad del País Vasco/Euskal Herriko Unibertsitatea, España.

Competing interests

The authors state that there are no conflicts of interest in preparing the manuscript.

Contribución de autoría

LO, FS and MGS contributed to conception and design of the research and to the acquisition of the data. LO drafted the manuscript. LO contributed to analysis of the data. LO, FS and MGS contributed to the interpretation of data. FS and MGS, supervision and final writing. All authors critically revised the manuscript.

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License