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Article

Comparison of Adherence to Mediterranean Diet between Spanish and German School-Children and Influence of Gender, Overweight, and Physical Activity

by
Lena Grams
1,*,†,
Anne-Katrin Nelius
2,†,
Guadalupe Garrido Pastor
1,
Manuel Sillero-Quintana
1,
Óscar L. Veiga
3,
Denise Homeyer
2 and
Momme Kück
2
1
Faculty of Science, Physical Activity and Sports (INEF), Technical University of Madrid (UPM), 28040 Madrid, Spain
2
Institute of Sports Medicine, Hannover Medical School, 30625 Hannover, Germany
3
Department of Physical Education, Sport and Human Movement, Autonomous University of Madrid (UAM), 28049 Madrid, Spain
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Nutrients 2022, 14(21), 4697; https://doi.org/10.3390/nu14214697
Submission received: 30 September 2022 / Revised: 2 November 2022 / Accepted: 3 November 2022 / Published: 7 November 2022

Abstract

:
Background: Poor dietary habits and low levels of physical activity (PA) have a strong tendency to track from childhood into adulthood. The Mediterranean Diet (MD) is known to be extremely healthy, associated with lower BMI and a lower risk of obesity in children and adolescents. Therefore, adherence to the MD was compared between Spanish (n = 182) and German (n = 152) children aged 10 to 13 years to examine a possible more “westernized” diet in Spain with a non-Mediterranean country, that traditionally prefers a “Western diet” and to determine the association between adherence to the MD and gender, body composition, and PA levels. Methods: In the German observational longitudinal cohort study and the Spanish cohort study, body composition and questionnaires (KIDMED, Diet Quality (IAES)) were obtained, and accelerometers (Actigraph) were applied to detect PA. Results: Girls had higher BMI-standard deviation score (SDS) than boys and Spanish girls were less active than boys. Differences were detected in MD habits, such as favorable fruit-, vegetables-, fish-intakes, and dairy products in Spanish children and unfavorable consumptions of fast food, processed bakery goods, candies, and sweet beverages in German children. Independently of country, girls, children with lower BMI-SDS and children with higher PA level were related with better diet quality. Conclusion: Spanish children showed higher adherence to MD and diet quality (IAES) compared to German children, but there was a trend toward a more “westernized” diet. Gender, body composition, and PA influenced nutrition regardless of country.

1. Introduction

Overweight and obesity are a global burden and a tremendous problem for children and adolescents, with one in three children living with overweight or obesity [1]. Being overweight or obese seems to be the result of several factors and the causes are still not known entirely [2]. However, one reason is an unhealthy lifestyle behavior, such as poor dietary habits, high sedentary time, and low levels of physical activity (PA), which has a strong tendency to track from childhood into adulthood [3,4]. Bull et al. concluded that PA has benefits for various health outcomes, such as physical fitness, cardio-metabolic health, bone health, cognitive outcomes, mental health, and reduced adiposity [5]. To achieve this, the World Health Organization (WHO) recommends for children and adolescents (aged 5–17 years) at least an average of 60 min/day of moderate to vigorous intensity PA. Amounts of sedentary time is recommended to be reduced, especially screen time.
In addition to PA, nutrition plays a key role in health and is closely related. A healthy diet is defined by the WHO as health-promoting and disease-preventing [6]. It provides adequacy without excess of macro- and micro-nutrients from nutritious foods and avoids the consumption of health-harming substances. A nutritious food is described as “one that provides beneficial nutrients (e.g., protein, vitamins, minerals, essential amino acids, essential fatty acids, or dietary fiber) and minimizes potentially harmful elements (e.g., quantities of sodium, saturated fats, sugars)” [7]. The combination of different foods in a diet and the quantity, variety, and frequency with what they are consumed are defined as dietary pattern. These patterns may be traditional or based on a special interest, such as a plant-based diet without animal products.
The “Mediterranean diet” (MD) is traditionally the preferred dietary pattern in Spain. It is high in plant-based foods, such as fresh fruits and vegetables, whole grains, legumes, seeds, and nuts and low in animal-based foods, mainly fatty and processed meats [8]. Olive oil is its principal source of added fat and high to moderate intakes of fish and seafood. Eggs and white meat should be eaten moderately (2–4 times per week) [9]. The MD is characterized by a low content of saturated fatty acids and high in mono-saturated fatty acids, together with high amounts of fiber and complex carbohydrates. Additionally, several social and gastronomical aspects characterize a particular lifestyle. The MD combines ingredients from local agriculture, recipes, and traditional cooking methods [10], which are also the same principles of sustainable nutrition. Furthermore, a low red meat intake should be beneficial to maintain a healthy planet nowadays, as meat production accounts for the most significant adverse environmental impact on Earth [11].
Even though MD is the traditional diet pattern, the adherence to it is only moderate in the Mediterranean adult population in the past 10 years [12] and the same trend toward a more “westernized” diet can be observed among children and adolescents in Mediterranean countries [13]. In contrast to MD, the “Western diet” is rather low in fruits and vegetables, and high in fat and sodium. It consists of large portions, with high amounts of energy, excess sugar, low fiber, and high saturated and trans fats, which increase calories and low-density lipoproteins, resulting in an increased risk of developing atherosclerosis [14].
Consequences of low levels of PA and poor nutrition in adolescents have become important topics of scientific interest in Spain and Europe. Results from the Spanish HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) study proved that being physically active is the most significant and protective outcome in adolescents to reduce cardio-metabolic risk [15]. Results from another Spanish study found that 25% are overweight and 10% suffer from obesity in children aged 8–13 in 2012 [16]. In Germany, where the “Western diet” is more common, data from the KIGGS (German Health Interview and Examination Survey for Children and Adolescents) study in Germany demonstrate that 15% of children and adolescents aged 3–17 years are overweight and 6% suffer from obesity [17]. Börnhorst et al. found that one-third of the children between 2 and 9 years old, who participated in the European study IDEFICS (Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS), did not reach the guidelines (D-A-CH Reference Values for the European Population) for carbohydrate intake (50%) and exceeded the recommendations for fat intake (30–35%) [18]. Less than 10% reached the recommendations for water intake of 1 L per day. Except for Estonia, sugar intake in all other participating countries (Germany, Belgium, Italy, Sweden, Spain, Hungary, and Cyprus) exceeded the recommendations by 20%, and in Germany, by 30% [19].
Previous research indicates that the adherence to the principles of MD is associated with lower BMI and a lower risk of obesity in children and adolescents [20,21], and that its beneficial implications both for clinical and environmental aspects should be exported to other countries [22]. Therefore, the adherence to MD was compared between Spanish and German children aged 10 to 13 years to examine a possible more “westernized” diet in Spain with a non-Mediterranean country, that traditionally prefers a “Western diet”, and to determine the association between adherence to MD and gender, body composition, and PA levels.

2. Methods

Baseline data from two separate studies in Spain and Germany were analyzed. In the Spanish cohort study, 182 children participated from six public schools in Madrid’s central area, with high sociocultural status and ethnicity variability. The district and schools were selected by the funder, since the foundation (Fundación Maratón) was looking for schools to promote physical activity and health in critical environment. To collect data on nutrition and physical activity, they contacted the Technical and Autonomous University of Madrid for health professionals. Data were obtained between October and December 2015. Participating children and their parents gave written consent before initiating the study, which was approved by the ethics committee of the Universidad Politécnica de Madrid (UPM, PIA 12009-11, Date: 5 March 2015) and based on the guidelines of the Helsinki Declaration. One hundred fifty-two children from two secondary schools in northern Germany (Lower Saxony and North Rhine-Westphalia) participated in the German observational longitudinal cohort study “Rebirth active school”, which also showed high variability in sociocultural status, but took place in cities smaller than Madrid. As “Rebirth active school” was a pilot study, secondary schools were asked to participate. The overall goal was to integrate a physical activity program into the school day, achieving WHO recommendations on PA. Further details are published by Memaran et al. [23]. Data were obtained between April and June 2017 as baseline of an overall 3-year study period. Participating children and their parents gave written consent, and the study was approved by the Hannover Medical School ethics committee (Number 1790, Date: 9 January 2017), based on the guidelines of the Helsinki Declaration. Inclusion criteria in both studies was school affiliation. Exclusion criteria included being at home on the day of data collection.

2.1. Anthropometrics

In both studies, height and weight were measured using a portable stadiometer (Spain: SECA 213, SECA, Azcapotzalco, Mexico; SECA 764, Seca GmbH & Co. KG, Hamburg, Germany) in light clothes without shoes. Hip circumference was measured with a standard centimeter. All anthropometric measurements were recorded according to the International Society for the Advancement of Kinanthropometry principles [24]. Each measurement was carried out at least two times and, if the percentage of measurement error was insufficient (>1%), a third measurement was performed. For two measurements, the mean was taken as the outcome variable, and for three measurements, the median [24].
According to the German population, height, weight, BMI, and hip circumference were transformed to standard deviation scores (SDS) to compare the two countries normalized by age and gender [25]. “Overweight” was defined as BMI-SDS over 1.282 and “obese” as BMI-SDS over 1.881 [26]. Therefore, three groups “normal weight”, overweight”, and “obese” were used in the nutrition analysis. For PA analysis, “overweight” and “obese” were combined to one group, and two groups “normal weight” and “overweight” were used. In both studies, all measurements were performed by previously trained medical personnel or sports scientists in a one-to-one situation.

2.2. Questionnaires

To assess the adherence to the Mediterranean diet in children, the Mediterranean Diet Quality Index or KIDMED was used [27]. KIDMED was the first to assess adherence to Mediterranean dietary patterns in children and youth [27]. The psychometric investigating properties of this index have also been used in other countries not classified as Mediterranean geographies, such as Portugal [28]. It consists of 16 questions that are answered “yes” or “no”. Thirteen questions have a positive aspect (score +1) and three a negative aspect (score −1). The KIDMED is the sum of these scores, ranging from −3 to 13. It is categorized as “very low or deficient quality” (KIDMED ≤ 3), “need to improve the eating pattern to adjust it to the Mediterranean model” (KIDMED from 4 to 7), and “optimal Mediterranean diet” (KIDMED ≥ 8). To compare the questionnaires of both projects, three questions with a positive aspect had to be skipped (nuts intake, rice and starchy food, and the usage of olive oil at home). They have been deleted for the German study since, for example, most German children did not know, which oil was being used for cooking at home. All other questions were part of both studies. Therefore, the KIDMED ranged from −3 up to 10.
The Index of a healthy Alimentation diet for the Spanish population (IASE) is a rapid and affordable method to estimate the quality of the diet in the Spanish population [29]; it uses secondary data from the Spanish National Health and Nutrition Survey and the feeding guidelines. The IASE identifies the frequency intakes of food groups using 9 of the 12 food groups intake described in the Spanish National Health and Nutrition Survey (ENS-06). It includes 10 variables, 9 questions, and a variable “diet-variety” calculated from the answers to the 9 questions. The first five questions represent the consuming of the main groups of alimentations (grains and derivatives, fruits, vegetables, dairy products, and meat) and the remaining four represent the achievement of reference nutritional objectives (total fat, saturated fat, cholesterol, and socio), asking for cold-processed meats, sweets, and beverages. Every variable gets a score from 0 to 10 with higher scores representing better diet quality. The sum of the scores makes it possible to calculate the IASE with a maximum value of 100 and to classify the diet into three categories: “Healthy feeding” (score > 80), “need-for-change” (score between 50 and 80), and “little healthy” (score < 50) following the recommendations of the Spanish Feeding Guidelines [29,30].
Both questionnaires were translated into German from the scientifically published English version by native speakers and back-translated to avoid errors. The original Spanish version was used in the Spanish study. Questionnaires were completed at the beginning of each test day and each child was interviewed in a one-to-one situation by previously trained sports scientists.
KIDMED and IASE were used complementarily for in-depth analysis of dietary quality, since KIDMED was designed for use in children and adolescents, and IASE supplements additional information to the KIDMED results.

2.3. Accelerometers

The accelerometer models used in the Spanish study were the ActiGraph GT1M, GT3X, and GT3X+ (Actigraph TM, LLC, Fort Walton Beach, FL, USA) worn at the hip and the ActiGraph GT9X Link (Actigraph TM, LLC, Fort Walton Beach, FL, USA) worn at the non-dominant wrist in the German study. The GT1M device is a uniaxial accelerometer, while all other devices are triaxial accelerometers. The generations GT1M and GT3X+ showed strong agreement in children under free-living condition and thus were used in the Spanish study [31,32]. Instructions on how to wear the accelerometer were explained to participants on the day of device delivery. In addition, this information was provided to parents/guardians and school administrators in written form. The Spanish children wore the device for 7 consecutive days attached on an elastic band on their lower back, whereas the German children wore it for at least 3 consecutive weekdays and 1 weekend on their non-dominant wrist. All participants were asked to take off their accelerometer for water activities, such as swimming and taking a shower or when going to sleep.
Data were downloaded and analyzed using Actilife software (version 6.13.4 in the German study, version 6.62 in the Spanish study, Actigraph TM, Pensacola, FL, USA). In the Spanish study, a daily recording duration of at least 10 h per day was required to be included in the analysis and for the classification of physical activity into light, moderate, and vigorous intensity, the cut-off points proposed in the HELENA study were used [33]. In the German study, the cut-off points from Chandler et al. were used, and at least 1152 min per day must have been recorded [34]. Mean time per day spent in light, moderate, and vigorous intensity were calculated. Since both studies used different devices, different wearing positions, and different minimum requirements for valid days, for each country the mean time per day in moderate and vigorous intensity spent during weekdays, weekend days, and all valid days was calculated separately. Then, the percentage of weekend days compared to weekdays was determined and the PA levels were sent as “low” for being in the first tertile of all valid days, “medium” for being in the middle tertile, and “high” for being in the third tertile.

2.4. Statistics

All data are given as mean ± standard deviation. Normal distribution was tested using the Kolmogorov-Smirnov test. Distribution of the data was tested with a Chi-squared test. Differences between the two groups were tested with an unpaired t-test for parametric data, respectively, and a Mann-Whitney-U test was used for non-parametric data with Hedges’ g as the effect size. The interaction of country and gender was computed with an ANOVA with eta squared η2 as the effect size. All post-hoc tests were corrected by Bonferroni’s method. Odd ratios were calculated with a forward stepwise binary logistic regression. A backwards multiple linear regression was used to determine the relationship between KIDMED and IAES as a dependent variable, and country, gender, BMI group, and PA level as independent variables. The significance level was set at 0.05. All calculations were carried out with SPSS (version 27, Armonk, NY, USA).

3. Results

A total of 334 boys and girls were included in the analysis, 152 from Germany and 182 from Spain. There were no significant differences between both countries (see Table 1). The girls showed higher weight, BMI, and waist circumference than the boys. The interaction between gender and country was significant for age.
The analysis of the SDS-scores showed no significant differences for the interaction of gender and country (see Figure 1). Height-SDS differed significantly between both countries with higher values for Germany (η2 = 0.01) and the girls had significantly higher BMI-SDS than the boys (η2 = 0.01). BMI-SDS and hip circumference-SDS of German and Spanish girls were above zero.
The PA level distribution showed a significant difference for gender and BMI group in Spain. Spanish girls were less active than the boys and the overweight group was less active than the normal weight (see Table 2). The activity on weekend days was lower than on weekdays with a higher decrease in Spain than in Germany (Germany 80.4 ± 36.5%; Spain 70.3 ± 32.2%; p = 0.014; g = 0.30).
Table 3 shows the results of the each KIDMED question by country, with 10 out of 13 questions showing significant differences between both countries. The KIDMED score was 3.45 ± 1.99 for Germany and 6.15 ± 1.95 for Spain, with no significant differences between gender (pANOVA = 0.078) and the interaction gender and country (pANOVA = 0.486), but it differed significantly between the two countries (pANOVA < 0.001; η2 = 0.32).
Odd ratios for all KIDMED questions are displayed in Figure 2. The Spanish children showed a higher probability of answering “yes” for six out of nine KIDMED questions with a positive aspect and a lower probability of answering “yes” for all questions with a negative aspect. Children with a higher PA level had simultaneously a higher probability to eat a second serving of fruits per day and a lower one to eat commercially baked goods or pastries for breakfast. The multiple linear regression showed positive relationships between Spain, girls, and higher PA level (see Figure 2).
The IASE and its variables are shown in Table 4. The IASE and nine out of ten variables were significantly higher in the Spanish children than in the German ones. The classification in the three categories was significantly different (p < 0.001): “Little healthy” (Germany 65.3%, Spain 0%), “need-for-change” (Germany 34.0%, Spain 52.2%), and “healthy feeding” (Germany 0.7%, Spain 47.8%).
Figure 3 displays the results of the multiple linear regression. The IASE and nine of its variables showed a positive relationship with Spain. The girls had a positive relationship with the IASE and the BMI group had a negative relationship with fresh or cooked vegetables per day, indicating that the higher the BMI-SDS, the unhealthier the answer.

4. Discussion

The aim of the present study was to compare the adherence to the MD between Spain and a non-Mediterranean country in school children aged 10–13 and to determine the association between adherence to MD and gender, body composition, and PA levels. Results showed that Spanish children had a higher adherence to MD and diet quality (IAES) compared to German children, but there was a trend toward a more “westernized” diet among the Spanish children studied. Gender, body composition, and PA influenced nutrition regardless of country.
When analyzing both countries together, females reached higher results in both nutritional scores (KIDMED and IAES) compared to the males. Summarizing these results from the KIDMED and IAES, the Spanish children showed higher adherence to MD compared to German children, but although the MD is accepted and promoted in Germany, the German children reached scores well beyond their Spanish counterparts. Therefore, the probability of answering “yes” to the questions of KIDMED with a positive aspect was only higher for Spanish children and to the questions with a negative aspect only for German children.
Similar results showed the questions for IAES, where only Spanish children had a positive relationship with healthier answers. Since three questions with a positive aspect and adherence to MD were not asked out of the original KIDMED, the results could not be categorized. Therefore, the probability of answering “yes” to the questions of KIDMED with a positive aspect was only higher for Spanish children and to the questions with a negative aspect only for German children. Similar results showed the questions for IAES, where only Spanish children had a positive relationship with healthier answers. Since three questions with a positive aspect from the original KIDMED were not asked, the results could not be categorized. However, the results showed that neither country would reach very low adherence to MD as the German children reached at least 3.45 ± 1.99. The Spanish children (6.15 ± 1.95) were closer to achieve good adherence to MD, knowing that the three missing items are typically for MD (olive oil, nuts, and grain foods). Therefore, it is rather unlikely that the German group would achieve higher scores and would “need to improve their eating pattern to adjust it to the MD” according to the reference values of KIDMED.
Data from the second wave of the German KIGGS study analyzed over 1353 adolescents, which showed inadequate consumption of fruits, vegetables, starchy, and milk/dairy products, and exceeded the intake of meat and sugar-sweetened beverages [4]. These results are in line with those of this study, compared to the Spanish children. It should be noted, however, that this study applied food-frequency questionnaires, which did not include questions regarding quantities (e.g., g/day) of food, such as in KIGGS. A review from Garcia–Cabrera et al. analyzed 18 studies (17 southern European studies and one from Chile regarding adherence to the MD in children and young adults 2–25 years) [13]. Only 10% of all 24,067 participants had a high adhesion to the MD applying the KIDMED, while 21% showed low adhesion. A study by Farajian et al., with 4786 Greek children comparable in age, showed that 45% had a low adherence to the MD and only 5% showed high adherence [35]. Lopez-Gil et al. found in 26% of his study population optimal adherence to MD, applying the KIDMED questionnaire [36]. All these results show not only the relevance of the geographical location, but also a moderate adherence to MD, which showed the need to improve the MD in these countries [37].
Similarly, the IAES data reflected the “need-for-changes” in the quality of the diet of the German children. Recommendations for a healthy diet recommend at least 5 portions of fruit and vegetable intake per day. Fruit intake was significantly higher in Spain (91% vs. 70%). Similarly, 75% of the Spanish group compared to 57% of the German group ate vegetables once per day. Children with higher PA levels consumed more often a second serving of fruits per day, regardless of country. The highest difference was displayed when analyzing the consumption of fish per week (Spain 81%, German 35%). However, in a study by Mariscal et al. [38], comparing the Spanish group to another comparable Spanish population, it appears that various intakes have been dropped (e.g., fruits, vegetables, dairy products). However, on the contrary, the consumption of fish increased from 42% up to 81%. Spain has a vast coast where fish and other sea product intakes are usual, and their availability and fair prices could be a determinant of higher consumption. It is quite common to purchase sea products from many little shops or fisheries located in the town on different areas than the supermarkets. Furthermore, in Spain, which is traditionally associated with Catholic beliefs, a meat-free diet with fish and sea products is practiced during the Fridays of Lent. Even in a town, such as Madrid, which has no coastline, the fish availability is great. Furthermore, typical Spanish recipes use sea products for cooking. These changes, some positive, but also negative, may be explained by Interventions and promotion of healthy foods in schools. Typically unhealthy intakes associated with the “Western diet” were found in German children, who had significantly higher intakes of fast food, commercially baked goods, ate sweets and candies several times per day, and skipped their breakfast more often. Biblioni et al. found the “Western” dietary pattern often among boys, while the “Mediterranean” dietary pattern was mainly followed by girls, which is in line with this study [39].
These “need for changes” for the German children are important, as meal patterns, such as skipped breakfast, have been suggested as a marker of an inappropriate dietary intake among adolescents [40]. Similarly, eating frequency was identified as a risk factor for obesity in both boys and girls [41]. Hoyland et al. found that breakfast has beneficial effects in school children on cognitive function compared to those who attend school fasting [42]. Forkert et al. found an increased waist circumference in European girls with low physical activity levels, which is an indicator of being overweight or obese [43]. When skipping breakfast, they found a strong relation between total and abdominal obesity. Poor adherence to MD was shown to be closely related to obesity in Greek school-children [44]. Flieh et al. found a strong relationship between free sugar intake and obesity in 843 European adolescents [45].
In Spain, it has been described that more than 80% of all ultra-processed food add sugar [46]. Specifically, children consuming higher amounts of sweet beverages demonstrated significantly increased amounts of LDL, tryglyceride, and cholesterol and lower amounts of HDL [47]. More specifically, Hebestreit et al. mentioned the association between daily energy intake and age-gender-specific BMI, which should be detected in future studies, since a relationship seems to be noticeable [48].
The results on obesity and overweight did not show significant differences between German and Spanish children. According to the KIGGS reference population, 20% of the German group and 11% of the Spanish group were overweight or obese, with a tendency toward more overweight or obese children in Germany [25]. The KIGGS study showed that 15% of German children and adolescents aged 3–17 years were overweight and 6% suffered from obesity [17]. Regardless of country, girls had a significantly higher BMI and hip circumference compared to boys. Compared to the reference population, the BMI-SDS and hip circumference SDS of the girls were even above zero [25]. Additionally, the Spanish girls were less active than the Spanish boys, and the same results were found in the overweight or obese Spanish pupils. In contrast, the German children did not show these differences.
PA level has shown to have an influence in this study independently of country and is known to be beneficial for various health outcomes. In addition, it is most effective in adolescents to reduce cardio-metabolic risk as well as overweight and obesity [5,15]. Furthermore, being physically active is related to better quality of life in children and adolescents [49]. Moradell et al. concluded the findings from the international multicenter cross-sectional HELENA study, proving that those adolescents who met the PA guidelines and screentime recommendations had higher intakes of healthy foods (e.g., fruits, vegetables, and dairy products) [3]. Similarly, Lopez-Gil et al. found high associations of PA level and MD scores [36]. PA level has been associated with food choice, and cereals, fruits, and vegetables appeared more likely in the diet of active adults and children [50]. Lazarou et al. (2010) found a healthy diet in children who maintained high levels of PA, which was also found in [36,51,52]. Ottevaere et al. found higher fruit intake in most active males compared to the lowest PA group [53]. The German KIGGS study (2nd wave) found associations between PA levels and consumption of healthy food and beverages in German children and adolescents [52].
In addition to lower PA level in the Spanish girls, the results of this study demonstrate a significant difference in PA during the week and weekend with higher PA at weekdays. This suggests that school hours may be an ideal setting for increasing PA levels and decreasing sedentary activity, since children spend most of their time in this environment [54]. Moreover, it could be used to advise them on how to be physically active during the weekend. The school rhythm may have influenced PA behavior [55]. In Spain, school days generally end at 5 pm compared to German school days which generally end at 3 pm. This difference in time might explain the PA results in this study. These results reflect the huge potential in using long school days for intermitted PA, since sedentary time is increased the longer children are at school during the week [56]. Furthermore, the school setting may be an ideal setting for increasing PA levels. There might be a possibility of developing outdoor physical education programs. For example, these programs could focus on food sustainability from an early age to contribute to expanding responsible food consumption habits while promoting physical activity in the natural environment.

5. Limitations

Since both studies have been developed independently, recruitment and measurement protocols differed. With regard to nutrition, a full comparison of the KIDMED was not possible, since three questions were skipped, for example, more than half of the German children did not know which oil was being used at home, as sunflower oil and butter are also very common for cooking in Germany. Furthermore, due to the focus and time frame of the German study, no validation of the German translation of the questionnaires was performed. A direct comparison of physical activity between both countries was not possible since accelerometers worn at different body parts (hip vs. wrist) and different types of accelerometers were used. Therefore, the PA values for each country were calculated separately by tertiles.

6. Conclusions

In summary, Spanish children had higher adherence and quality regarding MD compared to German children. Huge differences were detected in typical MD habits, such as fruit-, vegetables-, fish-intakes, and dairy products. In contrast, German children had higher intakes of fast food, processed bakery goods, candies, and sweet beverages. Independently of country, for girls, children with lower BMI-SDS and children with higher PA level were related with better diet quality. However, since girls of both countries had higher BMI-SDS and the Spanish girls were less active than boys, they are at risk of poorer diet quality. Knowing that the majority of the pupils in both countries spent most of their daytime in schools including their lunch, a possible way to influence and change habits on PA and nutrition seems apparent.

Author Contributions

Conceptualization, L.G., A.-K.N. and M.K.; methodology, L.G., A.-K.N. and M.K.; formal analysis, M.K.; writing—original draft preparation, L.G., A.-K.N. and M.K.; writing—review and editing, L.G., A.-K.N., G.G.P., Ó.L.V., M.S.-Q., D.H. and M.K.; visualization, M.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by: REBIRTH active school: Braukmann-Wittenberg-Herz-Stiftung and Fundación Maratón: ICOMEN and Government of Madrid (Chamberí Section).

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the ethic committee of the Hannover Medical School (Germany: REBIRTH active school, ID Number 1790, Date: 01 September 2017) and the ethics committee of the Universidad Politécnica de Madrid (Spain: UPM, PIA 12009-11, Date: 05 March 2015).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Acknowledgments

Axel Haverich, director of the Department of Cardiothoracic, Transplantation and Vascular Surgery (HTTG), Hannover Medical School, for initiating the project REBIRTH active school.

Conflicts of Interest

The authors declare no conflict of interest.

Study Registration

Germany: German clinical trials: REBIRTH active school (DRKS-ID der Studie: DRKS00012371).

References

  1. World Health Organization. WHO Guidelines on Physical Activity and Sedentary Behaviour: Web Annex: Evidence Profiles; WHO: Geneva, Switzerland, 2020. [Google Scholar]
  2. Lehmann, F.; Varnaccia, G.; Zeiher, J.; Lange, C.; Jordan, S. Influencing factors of obesity in school-age children and adolescents—A systematic review of the literature in the context of obesity monitoring. J. Health Monit. 2020, 5, 2–23. [Google Scholar] [PubMed]
  3. Moradell, A.; Santaliestra-Pasías, A.M.; Aparicio-Ugarriza, R.; Huybrechts, I.; Bertalanné Szommer, A.; Forsner, M.; González-Gross, M.; Kafatos, A.; Androutsos, O.; Michels, N.; et al. Are Physical Activity and Sedentary Screen Time Levels Associated with Food Consumption in European Adolescents? HELENA Study 2022, 1–12. [Google Scholar] [CrossRef] [PubMed]
  4. Brettschneider, A.; Barbosa, C.L.; Haftenberger, M.; Lehmann, F.; Mensink, G.B. Adherence to food-based dietary guidelines among adolescents in Germany according to socio-economic status and region: Results from Eating Study as a KiGGS Module (EsKiMo) II. Public Health Nutr. 2021, 24, 1216–1228. [Google Scholar] [CrossRef] [PubMed]
  5. Bull, F.C.; Al-Ansari, S.S.; Biddle, S.; Borodulin, K.; Buman, M.P.; Cardon, G.; Carty, C.; Chaput, J.-P.; Chastin, S.; Chou, R.; et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br. J. Sports Med. 2020, 54, 1451–1462. [Google Scholar] [CrossRef] [PubMed]
  6. World Health Organization. 2022. Available online: https://www.who.int/news-room/fact-sheets/detail/healthy-diet (accessed on 27 July 2022).
  7. Neufeld, L.M.; Hendriks, S.; Hugas, M. Healthy Diet: A Definition for the United Nations Food Systems Summit 2021; Real Academia de Ingeniería: Madrid, Spain, 2021; ISBN 978-84-95662-77-4. [Google Scholar]
  8. Cena, H.; Calder, P.C. Defining a healthy diet: Evidence for the role of contemporary dietary patterns in health and disease. Nutrients 2020, 12, 334. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Bach-Faig, A.; Berry, E.M.; Lairon, D.; Reguant, J.; Trichopoulou, A.; Dernini, S.; Medina, F.X.; Battino, M.; Belahsen, R.; Miranda, G.; et al. Mediterranean diet pyramid today. Science and cultural updates. Public Health Nutr. 2011, 14, 2274–2284. [Google Scholar] [CrossRef] [Green Version]
  10. Donini, L.M.; Serra-Majem, L.; Bulló, M.; Gil, Á.; Salas-Salvadó, J. The Mediterranean diet: Culture, health and science. Br. J. Nutr. 2015, 113, S1–S3. [Google Scholar] [CrossRef] [Green Version]
  11. Aguilera, E.; Piñero, P.; Infante Amate, J.; González de Molina, M.; Lassaletta, L.; Sanz Cobeña, A. Emisiones de Gases de Efecto Invernadero en el Sistema Agroalimentario y Huella de Carbono de la Alimentación en España; Real Academia de Ingeniería: Madrid, Spain, 2020. [Google Scholar]
  12. Obeid, C.A.; Gubbels, J.S.; Jaalouk, D.; Kremers, S.P.; Oenema, A. Adherence to the Mediterranean diet among adults in Mediterranean countries: A systematic literature review. Eur. J. Nutr. 2022, 61, 3327–3344. [Google Scholar] [CrossRef]
  13. Cabrera, S.G.; Fernández, N.H.; Hernández, C.R.; Nissensohn, M.; Román-Viñas, B.; Serra-Majem, L. KIDMED test; prevalence of low adherence to the Mediterranean Diet in children and young; a systematic review. Nutr. Hosp. 2015, 32, 2390–2399. [Google Scholar]
  14. Rakhra, V.; Galappaththy, S.L.; Bulchandani, S.; Cabandugama, P.K. Obesity and the Western Diet: How We Got Here. Mo. Med. 2020, 117, 536–538. [Google Scholar]
  15. Cristi-Montero, C.; Chillón, P.; Labayen, I.; Casajus, J.A.; Gonzalez-Gross, M.; Vanhelst, J.; Manios, Y.; Moreno, L.A.; Ortega, F.B.; Ruiz, J.R. Cardiometabolic risk through an integrative classification combining physical activity and sedentary behavior in European adolescents: HELENA study. J. Sport Health Sci. 2019, 8, 55–62. [Google Scholar] [CrossRef] [PubMed]
  16. Sánchez-Cruz, J.; Jiménez-Moleón, J.J.; Fernández-Quesada, F.; Sánchez, M.J. Prevalence of child and youth obesity in Spain in 2012. Rev. Española Cardiol. (Engl. Ed.) 2013, 66, 371–376. [Google Scholar] [CrossRef]
  17. Schienkiewitz, A.; Brettschneider, A.; Damerow, S.; Rosario, A.S. Übergewicht und Adipositas im Kindes-und Jugendalter in Deutschland–Querschnittergebnisse aus KiGGS Welle 2 und Trends. J. Health Monit. 2018, 3. [Google Scholar]
  18. Börnhorst, C.; Consortia, O.B.O.T.I.A.T.I.; Huybrechts, I.; Hebestreit, A.; Krogh, V.; De Decker, A.; Barba, G.; Moreno, L.A.; Lissner, L.; Tornaritis, M.; Molnár, D.; et al. Usual energy and macronutrient intakes in 2–9-year-old European children. Int. J. Obes. 2014, 38, S115–S123. [Google Scholar] [CrossRef] [Green Version]
  19. Svensson, A.; Larsson, C.; Eiben, G.; Lanfer, A.; Pala, V.; Hebestreit, A.; Huybrechts, I.; Fernández-Alvira, J.M.; Russo, P.; Koni, A.C.; et al. European children’s sugar intake on weekdays versus weekends: The IDEFICS study. Eur. J. Clin. Nutr. 2014, 68, 822–828. [Google Scholar] [CrossRef]
  20. Serra-Majem, L.; García-Closas, R.; Ribas, L.; Pérez-Rodrigo, C.; Aranceta, J. Food patterns of Spanish schoolchildren and adoles-cents: The enKid Study. Public Health Nutr. 2001, 4, 1433–1438. [Google Scholar] [CrossRef]
  21. Mendez, M.A.; Popkin, B.M.; Jakszyn, P.; Berenguer, A.; Tormo, M.J.; Sanchéz, M.J.; Quirós, J.R.; Pera, G.; Navarro, C.; Martinez, C.; et al. Adherence to a Mediterranean diet is associ-ated with reduced 3-year incidence of obesity. J. Nutr. 2006, 136, 2934–2938. [Google Scholar] [CrossRef] [Green Version]
  22. Finicelli, M.; Di Salle, A.; Galderisi, U.; Peluso, G. The Mediterranean Diet: An Update of the Clinical Trials. Nutrients 2022, 14, 2956. [Google Scholar] [CrossRef]
  23. Memaran, N.; Schwalba, M.; Borchert-Mörlins, B.; von der Born, J.; Markefke, S.; Bauer, E.; von Wick, A.; Epping, J.; von Maltzahn, N.; Heyn-Schmidt, I.; et al. Gesundheit und Fitness von deutschen Schulkindern. Ergeb. Physiol. 2020, 168, 597–607. [Google Scholar] [CrossRef] [Green Version]
  24. Stewart, A.; Marfell-Jones, M.; Olds, T.; De Ridder, H. International society for the advancement of kinanthropometry: International standards for anthropometric assessment. Int. Soc. Adv. Kinanthropometry 2011, 115. [Google Scholar]
  25. Neuhauser, H.; Schienkiewitz, A.; Rosario, A.S.; Dortschy, R.; Kurth, B. Referenzperzentile für Anthropometrische Maßzahlen und Blutdruck aus der Studie zur Gesundheit von Kindern und Jugendlichen in Deutschland (KiGGS); Robert Koch-Institut: Berlin, Germany, 2013. [Google Scholar]
  26. Kromeyer-Hauschild, K.; Wabitsch, M.; Kunze, D.; Geller, F.; Geiß, H.C.; Hesse, V.; Von Hippel, A.; Jaeger, U.; Johnsen, D.; Korte, W.; et al. Perzentile für den Body-mass-Index für das Kindes-und Jugendalter unter Heranziehung verschiedener deutscher Stichproben. Mon. Kinderheilkd. 2001, 149, 807–818. [Google Scholar] [CrossRef] [Green Version]
  27. Serra-Majem, L.; Ribas, L.; Ngo, J.; Ortega, R.M.; García, A.; Pérez-Rodrigo, C.; Aranceta, J. Food, youth and the Mediterranean diet in Spain. Development of KIDMED, Mediterranean Diet Quality Index in children and adolescents. Public Health Nutr. 2004, 7, 931–935. [Google Scholar]
  28. Rei, M.; Severo, M.; Rodrigues, S. Reproducibility and validity of the Mediterranean Diet Quality Index (KIDMED Index) in a sample of Portuguese adolescents. Br. J. Nutr. 2021, 126, 1737–1748. [Google Scholar] [CrossRef] [PubMed]
  29. Norte Navarro, A.I.; Ortiz Moncada, R. Calidad de la dieta española según el índice de alimentación saludable. Nutr. Hosp. 2011, 26, 330–336. [Google Scholar] [PubMed]
  30. Aranceta-Bartrina, J.; Partearroyo, T.; López-Sobaler, A.M.; Ortega, R.M.; Varela-Moreiras, G.; Serra-Majem, L.; Pérez-Rodrigo, C. Updating the food-based dietary guidelines for the Spanish population: The Spanish society of community nutrition (senc) proposal. Nutrients 2019, 11, 2675. [Google Scholar] [CrossRef]
  31. Robusto, K.M.; Trost, S.G. Comparison of three generations of ActiGraph™ activity monitors in children and adolescents. J. Sports Sci. 2012, 30, 1429–1435. [Google Scholar] [CrossRef]
  32. Vanhelst, J.; Béghin, L.; Salleron, J.; Ruiz, J.R.; Ortega, F.B.; Ottevaere, C.; Molnar, D.; Kafatos, A.; Manios, Y.; Widhalm, K.; et al. Impact of the choice of threshold on physical activity patterns in free living conditions among adolescents measured using a uniaxial accelerometer: The HELENA study. J. Sports Sci. 2014, 32, 110–115. [Google Scholar] [CrossRef]
  33. Ruiz, J.R.; Ortega, F.B.; Martinez-Gomez, D.; Labayen, I.; Moreno, L.A.; De Bourdeaudhuij, I.; Manios, Y.; Gonzalez-Gross, M.; Mauro, B.; Molnar, D.; et al. Objectively measured physical activity and sedentary time in European adolescents: The HELENA study. Am. J. Epidemiol. 2011, 174, 173–184. [Google Scholar] [CrossRef] [Green Version]
  34. Chandler, J.; Brazendale, K.; Beets, M.; Mealing, B. Classification of physical activity intensities using a wrist-worn accelerome-ter in 8–12-year-old children. Pediatr. Obes. 2016, 11, 120–127. [Google Scholar] [CrossRef]
  35. Farajian, P.; Risvas, G.; Karasouli, K.; Pounis, G.D.; Kastorini, C.M.; Panagiotakos, D.B.; Zampelas, A. Very high childhood obesity preva-lence and low adherence rates to the Mediterranean diet in Greek children: The GRECO study. Atherosclerosis 2011, 217, 525–530. [Google Scholar] [CrossRef]
  36. López-Gil, J.F.; Brazo-Sayavera, J.; García-Hermoso, A.; Yuste Lucas, J.L. Adherence to Mediterranean Diet related with physical fitness and physical activity in schoolchildren aged 6–13. Nutrients 2020, 12, 567. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Mattavelli, E.; Olmastroni, E.; Bonofiglio, D.; Catapano, A.L.; Baragetti, A.; Magni, P. Adherence to the Mediterranean Diet: Impact of Geographical Location of the Observations. Nutrients 2022, 14, 2040. [Google Scholar] [CrossRef] [PubMed]
  38. Mariscal-Arcas, M.; Rivas, A.; Velasco, J.; Ortega, M.; Caballero, A.M.; Olea-Serrano, F. Evaluation of the Mediterranean Diet Qual-ity Index (KIDMED) in children and adolescents in Southern Spain. Public Health Nutr. 2009, 12, 1408–1412. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. del Mar Bibiloni, M.; Martínez, E.; Llull, R.; Pons, A.; Tur, J.A. Western and Mediterranean dietary patterns among Balearic Is-lands’ adolescents: Socio-economic and lifestyle determinants. Public Health Nutr. 2012, 15, 683–692. [Google Scholar] [CrossRef] [Green Version]
  40. Sjöberg, A.; Hallberg, L.; Höglund, D.; Hulthen, L. Meal pattern, food choice, nutrient intake and lifestyle factors in The Göte-borg Adolescence Study. Eur. J. Clin. Nutr. 2003, 57, 1569–1578. [Google Scholar] [CrossRef]
  41. del Mar Bibiloni, M.; Martinez, E.; Llull, R.; Juarez, M.D.; Pons, A.; Tur, J.A. Prevalence and risk factors for obesity in Balearic Is-lands adolescents. Br. J. Nutr. 2010, 103, 99–106. [Google Scholar] [CrossRef] [Green Version]
  42. Hoyland, A.; Dye, L.; Lawton, C.L. A systematic review of the effect of breakfast on the cognitive performance of children and adolescents. Nutr. Res. Rev. 2009, 22, 220–243. [Google Scholar] [CrossRef] [Green Version]
  43. Forkert, E.C.O.; De Moraes, A.C.F.; Carvalho, H.B.; Manios, Y.; Widhalm, K.; González-Gross, M.; Gutierrez, A.; Kafatos, A.; Censi, L.; De Henauw, S.; et al. Skipping breakfast is associated with adiposity markers especially when sleep time is adequate in adolescents. Sci. Rep. 2019, 9, 6380. [Google Scholar] [CrossRef] [Green Version]
  44. George, E.S.; Gavrili, S.; Itsiopoulos, C.; Manios, Y.; Moschonis, G. Poor adherence to the Mediterranean diet is associated with increased likelihood of metabolic syndrome components in children: The Healthy Growth Study. Public Health Nutr. 2021, 24, 2823–2833. [Google Scholar] [CrossRef]
  45. Flieh, S.M.; Moreno, L.A.; Miguel-Berges, M.L.; Stehle, P.; Marcos, A.; Molnár, D.; Widhalm, K.; Béghin, L.; De Henauw, S.; Kafatos, A.; et al. Free sugar consumption and obesity in Eu-ropean adolescents: The HELENA study. Nutrients 2020, 12, 3747. [Google Scholar] [CrossRef]
  46. Latasa, P.; Louzada, M.; Martinez Steele, E.; Monteiro, C. Added sugars and ultra-processed foods in Spanish households (1990–2010). Eur. J. Clin. Nutr. 2018, 72, 1404–1412. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Saeedi, P.; Haszard, J.; Stoner, L.; Skeaff, S.; Black, K.E.; Davison, B.; Harrex, H.; Meredith-Jones, K.; Quigg, R.; Wong, J.E.; et al. Relationships between Dietary Patterns and Indices of Arterial Stiffness and Central Arterial Wave Reflection in 9–11-Year-Old Children. Children 2020, 7, 66. [Google Scholar] [CrossRef] [PubMed]
  48. Hebestreit, A.; Börnhorst, C.; Barba, G.; Siani, A.; Huybrechts, I.; Tognon, G.; Eiben, G.; Moreno, L.A.; Fernández Alvira, J.M.; Loit, H.M.; et al. Associations between energy intake, daily food intake and energy density of foods and BMI z-score in 2–9-year-old European children. Eur. J. Nutr. 2014, 53, 673–681. [Google Scholar] [CrossRef] [Green Version]
  49. Spengler, S.; Woll, A. The more physically active, the healthier? The relationship between physical activity and health-related quality of life in adolescents: The MoMo study. J. Phys. Act. Health 2013, 10, 708–715. [Google Scholar] [CrossRef]
  50. Bellisle, F. Food choice, appetite and physical activity. Public Health Nutr. 1999, 2, 357–361. [Google Scholar] [CrossRef]
  51. Lazarou, C.; Panagiotakos, D.B.; Matalas, A. Physical activity mediates the protective effect of the Mediterranean diet on chil-dren’s obesity status: The CYKIDS study. Nutrition 2010, 26, 61–67. [Google Scholar] [CrossRef] [PubMed]
  52. Manz, K.; Mensink, G.B.M.; Finger, J.D.; Haftenberger, M.; Brettschneider, A.-K.; Barbosa, C.L.; Krug, S.; Schienkiewitz, A. Associations between physical activity and food intake among children and adolescents: Results of KiGGS Wave 2. Nutrients 2019, 11, 1060. [Google Scholar] [CrossRef] [Green Version]
  53. Ottevaere, C.; Huybrechts, I.; Cuenca-Garcia, M.; De Bourdeaudhuij, I.; Gottrand, F.; Kafatos, A.; Le Donne, C.; Moreno, L.A.; Widhalm, K.; De Henauw, S.; et al. Relationship between self-reported dietary intake and physical activity levels among adolescents: The HELENA study. Int. J. Behav. Nutr. Phys. Act. 2011, 8, 8. [Google Scholar] [CrossRef] [Green Version]
  54. Kriemler, S.; Meyer, U.; Martin, E.; van Sluijs, E.M.; Andersen, L.B.; Martin, B.W. Effect of school-based interventions on physical activity and fitness in children and adolescents: A review of reviews and systematic update. Br. J. Sports Med. 2011, 45, 923–930. [Google Scholar] [CrossRef] [Green Version]
  55. Vanhelst, J.; Beghin, L.; Duhamel, A.; De Henauw, S.; Molnar, D.; Vicente-Rodriguez, G.; Manios, Y.; Widhalm, K.; Kersting, M.; Polito, A.; et al. Relationship between school rhythm and physical activity in adolescents: The HELENA study. J. Sports Sci. 2017, 35, 1666–1673. [Google Scholar]
  56. Bachner, J.; Sturm, D.J.; Demetriou, Y. Accelerometer-measured physical activity and sedentary behavior levels and patterns in female sixth graders: The CReActivity Project. Int. J. Environ. Res. Public Health 2021, 18, 32. [Google Scholar] [CrossRef] [PubMed]
Figure 1. The 95% confidence intervals of SDS-scores and results of ANOVA. Bold: p < 0.05.
Figure 1. The 95% confidence intervals of SDS-scores and results of ANOVA. Bold: p < 0.05.
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Figure 2. Odd ratios for each KIDMED question for country, gender, BMI group, and PA level. Blue: Questions with a positive aspect (+1); red: Questions with a negative aspect (−1). PA: Physical activity.
Figure 2. Odd ratios for each KIDMED question for country, gender, BMI group, and PA level. Blue: Questions with a positive aspect (+1); red: Questions with a negative aspect (−1). PA: Physical activity.
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Figure 3. Regression coefficients for KIDMED and IASE and its variables for country, gender, BMI group, and PA level. PA: Physical activity; IASE: Healthy feeding indicator.
Figure 3. Regression coefficients for KIDMED and IASE and its variables for country, gender, BMI group, and PA level. PA: Physical activity; IASE: Healthy feeding indicator.
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Table 1. Country characteristics divided by gender.
Table 1. Country characteristics divided by gender.
GermanySpainGenderCountryGender × Country
TotalBoysGirlsTotalBoysGirlspη2pη2pη2
N15282701828696
Age (years)11.4 ± 0.611.5 ± 0.611.3 ± 0.611.4 ± 0.611.4 ± 0.711.5 ± 0.60.583<0.010.908<0.010.0250.02
Height (m)1.50 ± 0.081.50 ± 0.081.50 ± 0.081.49 ± 0.081.48 ± 0.081.50 ± 0.080.319<0.010.0760.010.335<0.01
Weight (kg)45.6 ± 12.544.3 ± 11.647.0 ± 13.443.9 ± 11.742.2 ± 11.445.4 ± 11.70.0270.010.1570.010.855<0.01
BMI (kg/m2)20.0 ± 4.319.5 ± 4.020.5 ± 4.519.6 ± 3.919.1 ± 3.820.1 ± 3.90.0220.020.363<0.010.941<0.01
Hip circumference (cm)82.1 ± 10.280.3 ± 9.584.2 ± 10.782.1 ± 9.279.8 ± 8.984.2 ± 9.0<0.0010.050.778<0.010.844<0.01
Table 2. PA level distribution for gender and BMI group by country.
Table 2. PA level distribution for gender and BMI group by country.
GermanySpain
PA Level PA Level
LowMediumHighpLowMediumHighp
Boys (n)2518160.091182840<0.001
42.4%30.5%27.1%20.9%32.6%46.5%
Girls (n)152225433221
24.2%35.5%40.3%44.8%33.3%21.9%
Normal weight (n)3233310.7404954590.014
33.3%34.4%32.3%30.2%33.3%36.4%
Overweight (n)87101262
32.0%28.0%40.0%60.0%30.0%10.0%
PA: Physical activity.
Table 3. KIDMED questions by country.
Table 3. KIDMED questions by country.
Germany
(%)
Spain
(%)
p
Fruit or fruit juice daily70.291.2<0.001
Second serving of fruit daily57.067.00.062
Fresh or cooked vegetables daily56.775.3<0.001
Fresh or cooked vegetables > 1/day31.333.00.751
Regular fish consumption (at least 2–3/week)34.981.3<0.001
>1/week fast-food (hamburger) restaurant53.012.1<0.001
Pulses > 1/week71.581.30.035
Cereal or cereal product for breakfast92.081.90.007
No breakfast45.718.1<0.001
Dairy product for breakfast80.795.6<0.001
Commercially baked goods or pastries for breakfast44.727.50.001
Two yoghurts and/or 40 g cheese daily49.369.2<0.001
Sweets and candy several times a day52.73.3<0.001
Table 4. IASE and its variables by country.
Table 4. IASE and its variables by country.
Germany Spain
Mean ± SDnMean ± SDnpHedges’ g
IASE4 6.0 ± 10.014478.3 ± 7.9180<0.001−3.62
Cereal or cereal products per day7.33 ± 2.431499.55 ± 1.79182<0.001−1.05
Fresh or cooked vegetables per day4.17 ± 1.821509.00 ± 1.87182<0.001−2.60
Fruit or fruit juice per day4.65 ± 1.811509.67 ± 1.13182<0.001−3.40
Dairy products per day5.03 ± 2.511509.92 ± 0.52182<0.001−2.82
Meat per week7.26 ± 2.741467.73 ± 2.391820.185−0.18
Pulses per week5.61 ± 3.971488.41 ± 2.24181<0.001−0.89
Cold-processed meats per week3.30 ± 3.081474.86 ± 2.56181<0.001−0.56
Sweets and candy per week3.12 ± 2.651495.07 ± 2.19182<0.001−0.81
Sugary beverages per week3.74 ± 3.151496.16 ± 2.73181<0.001−0.82
Diet-variety1.55 ± 1.441527.96 ± 1.60182<0.001−4.19
IASE: Healthy feeding indicator.
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Grams, L.; Nelius, A.-K.; Pastor, G.G.; Sillero-Quintana, M.; Veiga, Ó.L.; Homeyer, D.; Kück, M. Comparison of Adherence to Mediterranean Diet between Spanish and German School-Children and Influence of Gender, Overweight, and Physical Activity. Nutrients 2022, 14, 4697. https://doi.org/10.3390/nu14214697

AMA Style

Grams L, Nelius A-K, Pastor GG, Sillero-Quintana M, Veiga ÓL, Homeyer D, Kück M. Comparison of Adherence to Mediterranean Diet between Spanish and German School-Children and Influence of Gender, Overweight, and Physical Activity. Nutrients. 2022; 14(21):4697. https://doi.org/10.3390/nu14214697

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Grams, Lena, Anne-Katrin Nelius, Guadalupe Garrido Pastor, Manuel Sillero-Quintana, Óscar L. Veiga, Denise Homeyer, and Momme Kück. 2022. "Comparison of Adherence to Mediterranean Diet between Spanish and German School-Children and Influence of Gender, Overweight, and Physical Activity" Nutrients 14, no. 21: 4697. https://doi.org/10.3390/nu14214697

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