Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-23T22:10:22.492Z Has data issue: false hasContentIssue false

Adherence to the Mediterranean Diet in medical students

Published online by Cambridge University Press:  11 May 2023

Sonia González-Sosa
Affiliation:
Department of Internal Medicine, Hospital Universitario de Gran Canaria Doctor Negrín, Las Palmas de Gran Canaria, Barranco La Ballena s/n 35012 Las Palmas, GC, Spain Faculty of Health Sciences, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe, s/n. 35016 Las Palmas, GC, Spain
Jose Juan Ruiz-Hernández
Affiliation:
Department of Internal Medicine, Hospital Universitario de Gran Canaria Doctor Negrín, Las Palmas de Gran Canaria, Barranco La Ballena s/n 35012 Las Palmas, GC, Spain Faculty of Health Sciences, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe, s/n. 35016 Las Palmas, GC, Spain
Alicia Puente-Fernández
Affiliation:
Department of Internal Medicine, Hospital Universitario de Gran Canaria Doctor Negrín, Las Palmas de Gran Canaria, Barranco La Ballena s/n 35012 Las Palmas, GC, Spain Faculty of Health Sciences, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe, s/n. 35016 Las Palmas, GC, Spain
José María Robaina-Bordón
Affiliation:
Department of Internal Medicine, Hospital Universitario de Gran Canaria Doctor Negrín, Las Palmas de Gran Canaria, Barranco La Ballena s/n 35012 Las Palmas, GC, Spain Faculty of Health Sciences, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe, s/n. 35016 Las Palmas, GC, Spain
Alicia Conde-Martel*
Affiliation:
Department of Internal Medicine, Hospital Universitario de Gran Canaria Doctor Negrín, Las Palmas de Gran Canaria, Barranco La Ballena s/n 35012 Las Palmas, GC, Spain Faculty of Health Sciences, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe, s/n. 35016 Las Palmas, GC, Spain
*
*Corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Objective:

The protective effect of the Mediterranean Diet (MeDi) is undisputed. However, adherence to MeDi has decreased in recent years, particularly in young people. The aim of this study was to evaluate adherence to MeDi in medical students and to assess the influence of knowledge acquisition as well as other factors on dietary compliance.

Design:

A cross-sectional study was conducted on medical students. The data were obtained through anonymous surveys that collected demographic characteristics, medical history, alcohol and tobacco consumption, physical activity and adherence to MeDi – using 14-point Mediterranean Diet Adherence Score (MEDAS) –. Adherence to MeDi and related factors were evaluated by univariate and multivariable analysis.

Participants:

Medical students from the first to the sixth year of the 2018–2019 academic year.

Setting:

The study was conducted at the university of Las Palmas de Gran Canaria.

Results:

Of 589 respondents (73 % women) mean aged 22 years (range 18–39), 58·9 % showed good adherence to MeDi. Adherence was significantly associated with age (P = 0·017) but not with sex or the presence of comorbidities. Independently, adherence to MeDi was higher in last academic courses (OR = 2·1; 95 % CI = 1·3, 3·2; P = 0·001), in those who consumed alcohol more frequently (OR = 1·5; 95 % CI = 1·0, 2·1; P = 0·039) and in those who practiced more exercise (OR = 1·5; 95 % CI = 1·2, 1·9; P < 0·001).

Conclusions:

Half of all medical students did not have a good adherence to MeDi. Adherence was higher at older age in higher academic years and related to greater physical activity. It would be convenient to quantify dietary knowledge as well as implement nutritional educational programmes, favouring a healthy lifestyle.

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Nutrition Society

The concept of Mediterranean Diet (MeDi) was introduced in the late 1950s, describing the dietary habits found throughout the Mediterranean coast(Reference Keys and Grande1). Traditional MeDi is characterised by a high consumption of vegetables, fruits, legumes, nuts, unrefined cereals, fish and olive oil and a low consumption of dairy products and red meat(Reference Estruch, Ros and Salas-Salvadó2,Reference Willett, Sacks and Trichopoulou3) . The Mediterranean dietary pattern has been consistently shown to provide a grade of protection against CVD and main non-infectious chronic diseases, such as cancer or diabetes(Reference Estruch, Ros and Salas-Salvadó2Reference Mentella, Scaldaferri and Ricci7). A wide range of studies support MeDi as an effective preventive tool to reduce morbidity and mortality in the general population(Reference Estruch, Ros and Salas-Salvadó2,Reference Sofi, Cesari and Abbate8,Reference Kastorini, Panagiotakos and Chrysohoou9) .

MeDi compliance has declined dramatically in recent years(Reference Bonaccio, Di Castelnuovo and Costanzo5,Reference Sofi, Cesari and Abbate8) . Particularly, young adults are strongly influenced by socio-cultural changes and tend to develop unhealthy eating habits and decrease their MeDi consumption(Reference Papadaki, Hondros and Scott10Reference Guillem-Saiz, Wang and Guillem-Saiz13). There are multiple factors that affect the quality of diet: demographic characteristics, unhealthy behaviours – such as sedentary lifestyle – and family and social influence(Reference Lipsky, Nansel and Haynie14). In fact, a possible association has been established between the social context – eating more frequently outside home and accompanied – and changes in dietary habits(Reference Maugeri, San-Lio and Favara15). In addition, alcohol consumption is an important aspect in undergraduate students, a population prone to risky alcohol consumption(Reference Davoren, Demant and Shiely16,Reference Messina, D’Angelo and Ciccarelli17) .

Although measuring the level of adherence to a Mediterranean dietary pattern is not easy, it is of great importance for dietary advice in routine clinical practice(Reference Olmedo-Requena, González-Donquiles and Dávila-Batista18). For this purpose, diet quality indices have been proposed to assess the degree of adherence to MeDi and its health benefits(Reference Zaragoza-Martí, Cabañero-Martínez and Hurtado-Sánchez19,Reference Schröder, Fitó and Estruch20) .

On the other hand, it has been shown that increased nutritional knowledge is associated with improved dietary habits(Reference Bonaccio, Di Castelnuovo and Costanzo5,Reference Fiore, Ledda and Rapisarda21,Reference Rodrigo Vega, Ejeda Manzanera and Gonzalez Panero22) . Likewise, it is assumed that greater knowledge and better habits influence a better transmission of nutritional advice(Reference Saliba, Sammut and Vickers23,Reference Vickers, Kircher and Smith24) . The latter is increasingly required in health professionals due to the previously described. Adherence to MeDi by medical students has been little studied(Reference Fiore, Ledda and Rapisarda21,Reference Durá-Travé and Castroviejo-Gandarias25) . Their knowledge is of interest because, in addition to assessing the MeDi compliance of university students, they are future health professionals.

The purpose of this study is to evaluate the use of MeDi by medical undergraduate students and to analyse the influence of knowledge acquired over the years of study as well as other factors on dietary compliance.

Material and methods

Study design

This is a cross-sectional observational study to assess adherence to MeDi in medical students.

Population, study scope and recruitment

The study population included students enrolled in the medical degree of the Faculty of Health Sciences of the University of Las Palmas de Gran Canaria. It involved students from first to sixth year of the 2018–2019 academic year. Likewise, the candidates to medical resident interns of the province of Las Palmas of the same year. The only inclusion criteria was to belong to one of these courses at the time of the study. The only exclusion criteria was a refusal to participate. A survey was carried out and sent by e-mail and handed out on paper to all students. All students who responded to the survey (61·85 %) were included.

Variables of interest and data collection

A survey was carried out (see Appendix 1), collecting data on age, sex, weight and height as self-referenced. BMI was estimated and categorised according to WHO criteria as: underweight (IMC < 18·5 kg/m2), normal weight (IMC ≥ 18·5 years < 25 kg/m2), overweight (IMC ≥ 25 years < 30 kg/m2) and obese (IMC ≥ 30 kg/m2)(26). In addition, personal medical history (hypertension, diabetes, dyslipidaemia…) and lifestyle-related variables such as physical activity and alcohol-tobacco consumption are detailed. In relation to physical activity, the fundamental components of the training load(Reference Verjoshanski27) are included: (1) the frequency with which physical activity is performed – none, 1–2 sessions per week or greater than or equal to 3 sessions; (2) the volume of time per session – less than 30 min, 30 min to one hour or more than 1 hour and (3) the subjective intensity of the exercise performed – light, moderate, intense or maximum. Alcohol consumption was also collected, including questions from the AUDIT-C questionnaire(Reference Bush, Kivlahan and McDonell28Reference Reinert and Allen30), a short version of the AUDIT test consisting of the first three items of the AUDIT, including frequency and amount of alcohol consumption and frequency of binge drinking. The AUDIT-C cut-off point of ≥ 4 in men and ≥ 3 in women was used to identify hazardous alcohol consumption(Reference Reinert and Allen30). The 14-point Mediterranean Diet Adherence Score (MEDAS-14) questionnaire, widely validated for the Spanish population(Reference Schröder, Fitó and Estruch20) and in its English version(Reference Papadaki, Johnson and Toumpakari31) and simple to complete,(Reference Estruch, Ros and Salas-Salvadó2,Reference Schröder, Fitó and Estruch20) was used to record adherence to MeDi. The MEDAS-14 includes fourteen dichotomous response questions (yes/no) and the total adherence score ranges from a minimum of zero points to a maximum of fourteen and a score of nine points or more is considered good diet adherence(Reference Schröder, Fitó and Estruch20).

The questionnaires were completed through anonymous and voluntary surveys carried out in paper or electronic format. It was necessary to contact them in person or through institutional mail. If no initial response was obtained, up to three contacts were made.

Ethical considerations

This study was authorised by the Ethics and Clinical Research Committee of the University Hospital of Gran Canaria Doctor Negrín. Likewise, the approval of the Faculty of Health Sciences of the University of Las Palmas de Gran Canaria was also granted.

Statistical analysis

The data were analysed with the statistical package IBM SPSS software (IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 26.0., IBM Corp.). Categorical variables are expressed as percentages and quantitative variables as mean and sd or median and interquartile range, depending on whether or not the distribution was normal. Normality of the quantitative variables was assessed using the Kolmogorov–Smirnov test.

To evaluate the relationship between qualitative variables, the Chi-square test or Fisher’s exact test was used, and for the association between quantitative variables and MeDi compliance, the Student’s t test or the Mann–Whitney U test was used, depending on whether or not the variables followed a normal distribution. To identify the variables independently associated with MeDi, a multivariable analysis was performed using logistic regression in which the variables that were significantly related in the univariate analysis were included. These variables were age, gender, academic year, physical activity, alcohol and tobacco consumption. Differences with a P value < 0·05 were considered significant.

Results

Of 589 medical students included in the study, 430 (73 %) were female and 159 (27 %) were male with a mean age of 22·1 years (sd: 3·1), range: 18 to 39, median 22 (interquartile range: 22–24).

From the total, 242 (41·1 %) were in the first to third year of their degree course and 347 (58·9 %) were in the second cycle, including resident opponents. The distribution according to academic year is detailed in Table 1.

Table 1 Distribution of students according to academic course

Abs freq, absolute frequency; IQR, interquartilic range.

According to BMI, 70·6 % (416) of the subjects included in the study were normal weight, 9 % (53) were underweight, 15·1 % (89) were overweight and 5·3 % (31) were obese, i.e. 20·4 % (120) were overweight or obese.

In relation to cardiovascular risk factors, 8 (1·4 %) reported hypertension, 3 (0·5 %) diabetes and 3 (0·5 %) dyslipidemia.

Regarding smoking habit, 559 (94·9 %) respondents reported not smoking, 9 (1·5 %) were smokers and 21 (3·6 %) defined themselves as ex-smokers (≥ 1 year without smoking).

In relation to alcohol consumption, the mean AUDIT-C score was 2·74 (± 2·01), being higher in males (3·4 ± 2·3) compared to females (2·5 ± 1·8) (P < 0·001). Seventy-nine percent of the students consumed alcohol at least once a month, and one-third (35·3 %) between 2 and 4 times a month, with 5 % consuming alcohol four times a week or more. The amount consumed per occasion was at least 3–4 drinks in one-third of the cases (32·4 %), with 8·5 % consuming more than five drinks. Half of the students (49·9 %) had risky alcohol consumption, with no differences according to sex (50·5 % in females and 48·4 % in males, P = 0·66), or age (22·0 v. 22·1 years; P = 0·84). However, a significant association was observed between risky alcohol consumption and tobacco consumption (80 % v. 48·3 %; P = 0·001; OR: 4·3, 95 % CI: 1·7, –10·6), and belonging to the highest medical school grades (5th or 6th grade v. 1st to 4th grades; 57·2 v. 45·3; P = 0·007; OR: 1·6, 95 % CI: 1·1, –2·3).

When it comes to physical activity, 71 % exercised at least once a week compared with 29 % who did not exercise regularly. The amount of time spent was less than 30 min per session in 10·7 %, from 30 min to 1 hour in 42·1 % and more than 1 hour in 23·8 %. Finally, exercise intensity was mild in 8·8 %, moderate in 39·4 % and intense maximum in 29·4 %.

The majority of the respondents (76·1 %) did not usually cook at home. There were a tendency to cook at home in second-cycle students compared to first-cycle students (28·7 % v. 20·2 %; P = 0·07).

Adherence to MeDi was acceptable in 58·9 % students. Table 2 shows the individualised analysis of the MEDAS-14 questions, globally and by sex. The mean MEDAS-14 score obtained was 8·9 (±1·9) points, with no differences according to sex (8·9 (±1·9) in women and 8·72 (± 2·0) in men (P = 0·46)). Fish or seafood consumption was significantly higher in men (42·1 % v. 25·1 %; P < 0·001). Consumption of white meat was higher in women (85·6 % v. 77·4 %; P = 0·017) and women consumed significantly less red meat (76·7 % women consumed less than once a day v. 68·6 % men; P = 0·043). Women also tended almost significantly to a higher consumption of vegetables (62·3 % v. 53·5 %; P = 0·051). There were no significant differences in the rest of the MEDAS-14 questions according to sex.

Table 2 Answer to each MEDAS-14 individual question and differences between women and men

* P < 0·05.

Relationship between the different variables and adherence to Mediterranean Diet

As shown in Table 3, adherence to MeDi was not related to sex; nevertheless, greater adherence to MeDi was observed at older age (P = 0·017).

Table 3 Relation between Mediterranean adherence and demographic characteristics, academic course, tobacco use and culinary habits

sd, standard deviation.

In the analysis by academic year (Fig. 1), MeDi consumption was higher in students in the second cycle (fourth to sixth year of studies and medical opponents) compared to students in the first three years (OR = 2·3; 95 % CI: 1·6, 3·1; P < 0·001).

Fig. 1 Differences in Mediterranean Diet adherence by academic years

No higher adherence to MeDi was observed in those who cooked at home compared to those who did not. Nor was it observed in normal-weight patients with respect to overweight or obese patients.

In relation to tobacco consumption, there was no statistically significant but close relationship (P = 0·06) in favour of a better dietary habit in non-smokers.

The frequency of alcohol consumption was associated with adherence to MeDi (P = 0·008): students who consumed alcohol two or more times per month showed a significantly higher adherence to MeDi (P = 0·002) (Table 4). However, MeDi compliance was not associated with the amount consumed per occasion (P = 0·350).

Table 4 Relation between Mediterranean adherence and physical activity and alcohol consumption

AUDIT-C, Alcohol Use Disorder Identification Test–Consumption.

AUDIT-C cut-off = low-risk drinking (score < 3 in women and < 4 in men) and hazardous drinking (score ≥ 3 in women and ≥ 4 in men).

Adherence to MeDi was highly significantly associated (P < 0·001) with the performance of physical activity (Table 4), both with frequency (P < 0·001), intensity (P = 0·003) and volume of exercise performed (P = 0·001). Figure 2 represents a summary of the results described above in a more visual form.

Fig. 2 Most relevant variables associated to Mediterranean Diet

Multivariable analysis

The significant association between greater adherence to MeDi in second-cycle students compared to first-cycle students was maintained (OR = 2·1; 95 % CI = 1·3, 3·2; P = 0·001). Similarly, MeDi consumption was higher in those who consumed alcohol two or more times a month (OR = 1·5; 95 % CI = 1·0, 2·1; P = 0·039) and those who were physically active (OR = 1·5; 95 % CI = 1·2, 1·9; P < 0·001). The remaining variables were not independently associated with MeDi compliance although tobacco use showed a trend toward statistical significance in its negative association with MeDi consumption (OR = 0·5; 95 % CI: 0·2, 1·01; P = 0·055) (Table 5).

Table 5 Multivariable analysis to evaluate the factors independently associated with adherence to the Mediterranean Diet

Discussion

Adherence to MeDi was acceptable in 59 % of undergraduate medical students. This degree of adherence, despite not being optimal, is notably better than that obtained in other studies in Spanish undergraduates in general, which show good adherence in only 36 %(Reference López-Moreno, Garcés-Rimón and Miguel32) and 34 %(Reference Cobo-Cuenca, Garrido-Miguel and Soriano-Cano33), using the same MEDAS-14 questionnaire. Other studies using different questionnaires have also observed a low percentage of university students with good compliance(Reference García-Meseguer, Cervera-Burriel and Vico-García11).

This difference could be justified by the evidence that future physicians, compared to the overall university population, probably show greater concern for their health. Indeed, it is worth noting that MeDi compliance was significantly higher in students with higher grades. In this case, since these are medical students, it could be considered that nutrition knowledge may be increased. This could support that higher MeDi knowledge is related to higher MeDi adherence. In fact, there are studies that support that teaching in nutrition-food subjects implies greater adherence to MeDi(Reference Rodrigo Vega, Ejeda Manzanera and Gonzalez Panero22). An Italian study that evaluated nutritional knowledge and its association with adherence to MeDi showed a significant association between both: the greater the nutritional knowledge, the greater the adherence to MeDi(Reference Aureli and Rossi34). Furthermore, a study that compared differences in terms of adherence to MeDi in health science students during their first academic year with respect to the second found greater adherence at the end of the second academic year, which could be justified by greater knowledge about dietary habits(Reference Sanchez-Fideli, Gutiérrez-Hervás and Rizo-Baeza35). Nevertheless, another study that analysed adherence to MeDi in medical students in Italy did not observe that being in the first or last courses influenced the results(Reference Fiore, Ledda and Rapisarda21).

Likewise, in our study, adherence to MeDi increases significantly with age. This association has also been described recently in children and adolescents in Italy(Reference Bonaccorsi, Furlan and Scocuzza36), although contrary results, lower adherence at older age, are described in most studies included in a meta-analysis that also assessed adherence to MeDi in children and adolescents(Reference Iaccarino-Idelson, Scalfi and Valerio37).

It is worth emphasising that lifestyle habits are developed from childhood and become entrenched in adolescence. Diet of young people and especially of university students poses an important challenge, as it may involve major changes in their lifestyle. In fact, another systematic review confirmed that the diet of adolescents tends to be characterised by an unsatisfactory dietary intake(Reference Moreno, Gottrand and Huybrechts38). The importance that nutritional education can have on medical students should be emphasised, given that physicians have a very important role and opportunity to advise their patients on diet.

In the individualised analysis of the MEDAS-14 questions, a low overall consumption of fish was observed, a fact previously noted in university students(Reference López-Moreno, Garcés-Rimón and Miguel32,Reference Cobo-Cuenca, Garrido-Miguel and Soriano-Cano33) , but it was significantly higher in men, contrary to what was described by Cobo-Cuenca(Reference Cobo-Cuenca, Garrido-Miguel and Soriano-Cano33). It was also observed that women consume more white meat compared to men who consume significantly more red meat, hamburgers or sausages. A higher consumption of red meat has been previously described in men, as well as a higher consumption of vegetables in women(Reference Predieri, Sinesio and Monteleone39), an aspect that in this study was also found to be close to statistical significance. It has been described in the literature that in Western societies women tend to show better dietary habits and give more importance to body weight than men(Reference Arganini, Saba and Comitato40). These aspects contributing to the better adherence to MeDi observed in several studies in young women(Reference Bonaccorsi, Furlan and Scocuzza36,Reference La Fauci, Alessi and Assefa41) , as well as in medical students(Reference Fiore, Ledda and Rapisarda21). However, other studies show no differences according to sex(Reference Iaccarino-Idelson, Scalfi and Valerio37), as in our results. Similar findings, that gender does not influence adherence to MeDi have been observed in studies in university students in Spain(Reference López-Moreno, Garcés-Rimón and Miguel32) and Lebanon(Reference Karam, Bibiloni and Serhan42).

It is worth mentioning that the percentage of overweight obesity in our sample is 20·9 %, similar to other studies(Reference Cobo-Cuenca, Garrido-Miguel and Soriano-Cano33). Even though this series did not find a relationship between overweight obesity and adherence to MeDi, another study in Italian adolescents found that good adherence to MeDi significantly reduced the likelihood of overweight obesity(Reference Mistretta, Marventano and Antoci43). Other studies have reported weight gain in patients with increased adherence to MeDi mainly at the expense of lean mass(Reference Cobo-Cuenca, Garrido-Miguel and Soriano-Cano33).

On the other hand, cooking at home was not related to adherence to MeDi. Some studies(Reference Papadaki, Hondros and Scott10,Reference Durá-Travé and Castroviejo-Gandarias25) report that students who live away from home develop worse habits than those who live at home, associating this with a decrease in the intake of home-cooked meals. In a similar vein, a study showed that eating away from home was associated with a lower trend to consume vegetables, fruits and legumes and a higher predisposition to consume processed meat, salty snacks and carbonated beverages(Reference Maugeri, San-Lio and Favara15).

About smoking, a trend toward greater adherence to MeDi was observed in non-smokers, probably in relation to a healthier lifestyle. Some authors describe the same association between a lack of adherence to a healthy diet and tobacco consumption(Reference Roig Grau, Rodríguez Roig and Delgado Juncadella44,Reference Elizondo, Guillén and Aguinaga45) .

In relation to alcohol consumption, approximately one over three students (35·3 %) consume alcohol 2 to 4 times a month and 5 % 2–3 times a week. In this study, a greater adherence to MeDi was found in students with a higher frequency of alcohol consumption. This is somewhat expected since MeDi includes regular moderate ethanol consumption, mainly in the form of wine. A Spanish study of health science students found a strong association between adherence to MeDi and those who consumed alcohol such as wine or beer compared to both abstainers and consumers of other distilled beverages(Reference Scholz, Navarrete-Muñoz and García de la Hera46). Regarding the benefit of moderate alcohol consumption, specifically wine, several authors report that despite discretely increasing the risk of some types of cancer, it is consistently associated with a reduction in cardiovascular risk and, therefore, has an overall protective effect on total mortality(Reference Arredondo Bruce and del Risco Morales47). Nevertheless, other studies suggest that the protective associations between alcohol consumption and mortality may be attributable in part to inappropriate selection of the reference group and weak adjustment for confounding factors(Reference Knott, Coombs and Stamatakis48). Therefore, there is controversy as to whether or not moderate alcohol consumption should be recommended as part of a balanced and healthy diet.

However, MeDi compliance was not associated with the beverages consumed per occasion. It is important to highlight a pattern of consumption characterised by drinking large amounts in short periods of time, or binge drinking, which is frequently observed in young people. This alcohol consumption deviates from MeDi drinking pattern and can have significant negative repercussions on health. In our study, an 8·5 % of the respondents were at risk for alcohol consumption. Two recent Spanish studies, one of them involving first-year university students(Reference Romero-Rodríguez, Amezcua-Prieto and Morales-Suárez-Varela49) and the other one all-year science students(Reference López-Moreno, Garcés-Rimón and Miguel32), concluded that 16·9 % and 26·2 %, respectively, had a risky alcohol consumption. These percentages are higher than in our sample of medical students and correlate with that described in other studies on university students. In deed, in a systematic review assessing alcohol consumption in Irish and UK university students,(Reference Davoren, Demant and Shiely16) over 20 % exceeded sensible limits each week, and a high frequency of at-risk consumption was observed. Another recent study conducted in Italy(Reference Messina, D’Angelo and Ciccarelli17) also shows a high percentage of high-risk (53·3 %) drinkers.

Furthermore, in our series, risk alcohol consumption is associated with smoking and with higher medical courses, which could point to poor stress management among our students. All this suggests the need to carry out an intervention program with the aim of reducing alcohol consumption and making future health professionals aware of the risks of alcohol and other toxic habits such as smoking. It is important to know about alcohol use in students, and to make them aware of its risks, especially in future health professionals.

Regarding physical activity, a highly significant association with MeDi was observed in our study. Several studies have shown an association between adherence to MeDi and physical activity in children and adolescents(Reference Iaccarino-Idelson, Scalfi and Valerio37). In addition, several studies support that good physical fitness and high adherence to MeDi are associated in isolation and in combination with a higher quality of life and lower morbidity and mortality(Reference Evaristo, Moreira and Lopes50).

Limitations and strengths

This study has several limitations. The cross-sectional nature of the study precludes establishing causality. The fact that the sample consisted of medical students and the voluntary nature of the survey may have influenced those included in the study were more concerned about a healthy diet. Furthermore, the use of questionnaires as a method of dietary assessment is limited by the fact that veracity of the data depends on the correct understanding of the questions and the accuracy of the information provided. Finally, no analytical determinations nor information on additional determinants of dietary choices such as economic or social determinants were collected. In relation to alcohol consumption, not having established the type of alcohol consumed (fermented or distilled beverage) limits the interpretation of the data.

Despite these limitations, the large sample size of the study and the non-exclusion of any student from participating allows us to obtain representative data on adherence to MeDi by medical students. Another strong point is the participation of students from all courses, which enables us to analyse the differences between them.

Conclusions

MeDi compliance by medical students was 58·9 %, being significantly higher at older age and in higher academic years. It was also significantly related to greater physical activity.

This could support the greater knowledge about nutrition and diseases, the greater dietary compliance. However, it would be useful to quantify the dietary knowledge of medical students and see its direct relationship with a better dietary habit.

It should be noted that almost one in two medical students have a risky alcohol consumption and one-third did not engage in regular physical exercise. This added to the above suggests the need to implement early nutritional and healthy lifestyle educational programs for university students in general and even more so for future health professionals.

Acknowledgements

Acknowledgements: not applicable. Authorship: The first author contributed with design of the study, data collection, analysis and drafting of the report. The second and last authors contributed to the conception, design and analysis of data. All authors contributed to revising the manuscript critically. Ethics pf human subject participation: This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving research study participants were approved by the Ethics and Clinical Research Committee of the University Hospital of Gran Canaria Doctor Negrín. Verbal informed consent was obtained from all subjects. Verbal consent was witnessed and formally recorded.

Financial support:

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Conflict of interest:

The authors declare that they have no conflict of interest.

References

Keys, A & Grande, F (1957) Role of dietary fat in human nutrition. III - diet and the epidemiology of coronary heart disease. Am J Public Health Nations Health 47, 15201530. https://doi.org/10.2105/ajph.47.12.1520.CrossRefGoogle ScholarPubMed
Estruch, R, Ros, E, Salas-Salvadó, J et al. (2013) Primary prevention of cardiovascular disease with a Mediterranean diet. N Engl J Med 368, 12791290. https://doi.org/10.1056/NEJMoa1200303.CrossRefGoogle ScholarPubMed
Willett, WC, Sacks, F, Trichopoulou, A et al. (1995) Mediterranean diet pyramid: a cultural model for healthy eating. Am J Clin Nutr 61, 1402S1406S. https://doi.org/10.1093/ajcn/61.6.1402S.CrossRefGoogle ScholarPubMed
Abellán Alemán, J, Zafrilla Rentero, MP, Montoro-García, S et al. (2016) Adherence to the ‘Mediterranean Diet’ in Spain and its relationship with cardiovascular risk (DIMERICA Study). Nutrients 8, 680. https://doi.org/10.3390/nu8110680.CrossRefGoogle Scholar
Bonaccio, M, Di Castelnuovo, A, Costanzo, S et al. (2013) Nutrition knowledge is associated with higher adherence to Mediterranean diet and lower prevalence of obesity. Results from the Moli-Sani study. Appetite 68, 139146. https://doi.org/10.1016/j.appet.2013.04.026.CrossRefGoogle ScholarPubMed
Serra-Majem, L, Román-Viñas, B, Sanchez-Villegas, A et al. (2019) Benefits of the Mediterranean diet: epidemiological and molecular aspects. Mol Aspects Med 67, 155. https://doi.org/10.1016/j.mam.2019.06.001.CrossRefGoogle ScholarPubMed
Mentella, MC, Scaldaferri, F, Ricci, C et al. (2019) Cancer and Mediterranean diet: a review. Nutrients 11, 20592085. https://doi.org/10.3390/nu11092059.CrossRefGoogle ScholarPubMed
Sofi, F, Cesari, F, Abbate, R et al. (2008) Adherence to Mediterranean diet and health status: meta-analysis. BMJ 337, a1344. https://doi.org/10.1136/bmj.a1344.CrossRefGoogle ScholarPubMed
Kastorini, C-M, Panagiotakos, DB, Chrysohoou, C et al. (2016) Metabolic syndrome, adherence to the Mediterranean diet and 10-year cardiovascular disease incidence: the ATTICA study. Atherosclerosis 246, 8793. https://doi.org/10.1016/j.atherosclerosis.2015.12.025.CrossRefGoogle Scholar
Papadaki, A, Hondros, G, Scott, JA et al. (2007) Eating habits of university students living at, or away from home in Greece. Appetite 49, 169176. https://doi.org/10.1016/j.appet.2007.01.008.CrossRefGoogle ScholarPubMed
García-Meseguer, MJ, Cervera-Burriel, F, Vico-García, C et al. (2014) Adherence to Mediterranean diet in a Spanish university population. Appetite 78, 156164. https://doi.org/10.1016/j.appet.2014.03.020.CrossRefGoogle Scholar
Sánchez-Socarrás, V & Aguilar-Martínez, A (2014) Food habits and health-related behaviors in a university population. Nutr Hosp 31, 449457. https://doi.org/10.3305/nh.2015.31.1.7412.Google Scholar
Guillem-Saiz, P, Wang, Y, Guillem-Saiz, J et al. (2017) Lifestyle, adherence to Mediterranean diet, anthropometric characteristics in a group of universitary health sciences students. Rev Esp Nutr Comunitaria 23, 5764. https://doi.org/10.14642/RENC.2017.23.2.5218.Google Scholar
Lipsky, LM, Nansel, TR, Haynie, DL et al. (2017) Diet quality of US adolescents during the transition to adulthood: changes and predictors. Am J Clin Nutr 105, 14241432. https://doi.org/10.3945/ajcn.116.150029.CrossRefGoogle ScholarPubMed
Maugeri, A, San-Lio, RM, Favara, G et al. (2022) Impact of eating context on dietary choices of college students: evidence from the HEALTHY-UNICT project. Nutrients 14, 4418. https://doi.org/10.3390/nu14204418.CrossRefGoogle ScholarPubMed
Davoren, MP, Demant, J, Shiely, F et al. (2016) Alcohol consumption among university students in Ireland and the United Kingdom from 2002 to 2014: a systematic review. BMC Public Health 16, 173. https://doi.org/10.1186/s12889-016-2843.CrossRefGoogle ScholarPubMed
Messina, MP, D’Angelo, A, Ciccarelli, R et al. (2021) Knowledge and practice towards alcohol consumption in a sample of university students. Int J Environ Res Public Health 18, 9528. https://doi.org/10.3390/ijerph18189528.CrossRefGoogle Scholar
Olmedo-Requena, R, González-Donquiles, C, Dávila-Batista, V et al. (2019) Agreement among Mediterranean diet pattern adherence indexes: MCC-Spain study. Nutrients 11, 488. https://doi.org/10.3390/nu11030488.CrossRefGoogle ScholarPubMed
Zaragoza-Martí, A, Cabañero-Martínez, MJ, Hurtado-Sánchez, JA et al. (2018) Evaluation of Mediterranean diet adherence scores: a systematic review. BMJ Open 8, e019033. https://doi.org/10.1136/bmjopen-2017-019033.CrossRefGoogle ScholarPubMed
Schröder, H, Fitó, M, Estruch, R et al. (2011) A short screener is valid for assessing Mediterranean diet adherence among older Spanish men and women. J Nutr 141, 11401145. https://doi.org/10.3945/jn.110.135566.CrossRefGoogle Scholar
Fiore, M, Ledda, C, Rapisarda, V et al. (2015) Medical school fails to improve Mediterranean diet adherence among medical students. Eur J Public Health 25, 10191023. https://doi.org/10.1093/eurpub/ckv127.CrossRefGoogle ScholarPubMed
Rodrigo Vega, M, Ejeda Manzanera, JM, Gonzalez Panero, MP et al. (2014) Changes in the adherence to the Mediterranean diet in students of grades of teaching and nursing after completing a course on nutrition. Nutr Hosp 30, 11731180. https://doi.org/10.3305/nh.2014.30.5.7714.Google Scholar
Saliba, M, Sammut, MR, Vickers, KS et al. (2011) Health behaviour counselling in primary care: general practitioner – reported rate and confidence. Malta Med J 23, 2228.Google Scholar
Vickers, KS, Kircher, KJ, Smith, MD et al. (2007) Health behavior counseling in primary care: provider-reported rate and confidence. Fam Med 39, 730735.Google ScholarPubMed
Durá-Travé, T & Castroviejo-Gandarias, A (2011) Adherence to a Mediterranean Diet in a college population. Nutr Hosp 26, 602608. https://doi.org/10.3305/nh.2011.26.3.4891.Google Scholar
World Health Organization (WHO) (1995) Physical status: the use of and interpretation of anthropometry, report of a WHO expert committee. World Health Organ Tech Rep Ser 854, 1452.Google Scholar
Verjoshanski, LV (1990) Sports Training: Planning and Programming. Barcelona, Spain: Martínez Roca.Google Scholar
Bush, K, Kivlahan, DR, McDonell, MB et al. (1998) The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol use disorders identification test. Arch Intern Med 158, 17891795. https://doi.org/10.1001/archinte.158.16.1789.CrossRefGoogle ScholarPubMed
Palacio-Vieira, J, Segura, L, Anderson, P et al. (2018) Improving screening and brief intervention activities in primary health care: secondary analysis of professional accuracy based on the AUDIT-C. J Eval Clin Pract 24, 369374. https://doi.org/10.1111/jep.12854.CrossRefGoogle ScholarPubMed
Reinert, DF & Allen, JP (2007) The alcohol use disorders identification test: an update of research findings. Alcohol Clin Exp Res 31, 185199. https://doi.org/10.1111/j.1530-0277.2006.00295.x.CrossRefGoogle ScholarPubMed
Papadaki, A, Johnson, L, Toumpakari, Z et al. (2018) Validation of the English version of the 14-item Mediterranean diet adherence screener of the PREDIMED study, in people at high cardiovascular risk in the UK. Nutrients 10, 138. https://doi.org/10.3390/nu10020138.CrossRefGoogle ScholarPubMed
López-Moreno, M, Garcés-Rimón, M, Miguel, M et al. (2021) Adherence to Mediterranean diet, alcohol consumption and emotional eating in Spanish university students. Nutrients 13, 3174. https://doi.org/10.3390/nu13093174.CrossRefGoogle ScholarPubMed
Cobo-Cuenca, AI, Garrido-Miguel, M, Soriano-Cano, A et al. (2019) Adherence to the Mediterranean diet and its association with body composition and physical fitness in Spanish university students. Nutrients 11, 2830. https://doi.org/10.3390/nu11112830.CrossRefGoogle Scholar
Aureli, V & Rossi, L (2022) Nutrition knowledge as a driver of adherence to the Mediterranean diet in Italy. Front Nutr 9, 804865. https://doi.org/10.3389/fnut.2022.804865.CrossRefGoogle Scholar
Sanchez-Fideli, MA, Gutiérrez-Hervás, AI, Rizo-Baeza, M et al. (2018) Longitudinal study about the adherence to Mediterranean diet patterns in health sciences students. Rev Esp Nutr Hum Diet 22, 413. https://doi.org/10.14306/renhyd.22.1.362.Google Scholar
Bonaccorsi, G, Furlan, F, Scocuzza, M et al. (2020) Adherence to Mediterranean diet among students from primary and middle school in the Province of Taranto, 2016–2018. Int J Environ Res Public Health 17, 5437. https://doi.org/10.3390/ijerph17155437.CrossRefGoogle ScholarPubMed
Iaccarino-Idelson, P, Scalfi, L & Valerio, G (2017) Adherence to the Mediterranean diet in children and adolescents: a systematic review. Nutr Metab Cardiovasc Dis 27, 283299. https://doi.org/10.1016/j.numecd.2017.01.002.CrossRefGoogle Scholar
Moreno, LA, Gottrand, F, Huybrechts, I et al. (2014) Nutrition and lifestyle in European adolescents: the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) study. Adv Nutr 5, 615623S. https://doi.org/10.3945/an.113.005678.CrossRefGoogle ScholarPubMed
Predieri, S, Sinesio, F, Monteleone, E et al. (2020) Gender, age, geographical area, food neophobia and their relationships with the adherence to the Mediterranean diet: new insights from a large population cross-sectional study. Nutrients 12, 1778. https://doi.org/10.3390/nu12061778.CrossRefGoogle Scholar
Arganini, C, Saba, A, Comitato, R et al. (2012) Gender Differences in Food Choice and Dietary Intake in Modern Western Societies. Public Health Social and Behavioral Health. Croatia: Jay Maddock. www.intechopen.com (accessed April 2022).Google Scholar
La Fauci, V, Alessi, V, Assefa, DZ et al. (2020) Mediterranean diet: knowledge and adherence in Italian young people. Clin Ter 171, e437e443. https://doi.org/10.7417/CT.2020.2254.Google ScholarPubMed
Karam, J, Bibiloni, M, Serhan, M et al. (2021) Adherence to Mediterranean diet among Lebanese University Students. Nutrients 13, 1264. https://doi.org/10.3390/nu13041264.CrossRefGoogle ScholarPubMed
Mistretta, A, Marventano, S, Antoci, M et al. (2017) Mediterranean diet adherence and body composition among Southern Italian adolescents. Obes Res Clin Pract 11, 215226. https://doi.org/10.1016/j.orcp.2016.05.007.CrossRefGoogle ScholarPubMed
Roig Grau, I, Rodríguez Roig, R, Delgado Juncadella, A et al. (2021) Smoking and its relationship with lifestyles in a primary care consultation. Prev Tab 23, 1928.Google Scholar
Elizondo, JJ, Guillén, F & Aguinaga, I (2006) Disparities in food consumption and nutrient intake among in relation to smoking. An Sist Sanit Navar 29, 3746. https://doi.org/10.4321/s1137-66272006000100004.Google ScholarPubMed
Scholz, A, Navarrete-Muñoz, EM, García de la Hera, M et al. (2016) Alcohol consumption and Mediterranean Diet adherence among health science students in Spain: the DiSA-UMH Study. Gac Sanit 30, 126132. https://doi.org/10.1016/j.gaceta.2015.10.011.CrossRefGoogle ScholarPubMed
Arredondo Bruce, A & del Risco Morales, O (2014) Cardio protector action of the alcohol moderated usage. Rev Médica Electrónica 36, 181194.Google Scholar
Knott, CS, Coombs, N, Stamatakis, E et al. (2015) All cause mortality and the case for age specific alcohol consumption guidelines: pooled analyses of up to 10 population based cohorts. BMJ 350, h384. https://doi.org/10.1136/bmj.h384.CrossRefGoogle ScholarPubMed
Romero-Rodríguez, E, Amezcua-Prieto, C, Morales-Suárez-Varela, M et al. (2022) Alcohol use and family-related factors among Spanish university students: the unHicos project. BMC Public Health 22, 1573. https://doi.org/10.1186/s12889-022-13900-8.CrossRefGoogle ScholarPubMed
Evaristo, OS, Moreira, C, Lopes, L et al. (2018) Associations between physical fitness and adherence to the Mediterranean diet with health-related quality of life in adolescents: results from the LabMed Physical Activity Study. Eur J Public Health 28, 631635. https://doi.org/10.1093/eurpub/cky043.CrossRefGoogle Scholar
Figure 0

Table 1 Distribution of students according to academic course

Figure 1

Table 2 Answer to each MEDAS-14 individual question and differences between women and men

Figure 2

Table 3 Relation between Mediterranean adherence and demographic characteristics, academic course, tobacco use and culinary habits

Figure 3

Fig. 1 Differences in Mediterranean Diet adherence by academic years

Figure 4

Table 4 Relation between Mediterranean adherence and physical activity and alcohol consumption

Figure 5

Fig. 2 Most relevant variables associated to Mediterranean Diet

Figure 6

Table 5 Multivariable analysis to evaluate the factors independently associated with adherence to the Mediterranean Diet