Introduction
The Mediterranean diet (MedDiet) is the traditional eating style in nations bordering the Mediterranean Sea [
1]. It features substantial consumption of fruits, vegetables, whole-grain bread, rice, legumes, and nuts, with moderate intakes of fish, dairy (especially cheese and yogurt), and restricted red meat and saturated fats [
2]. Scientific literature links MedDiet adherence to reduced non-communicable disease occurrence in adults, including cancer, metabolic syndrome, hypertension, and cardiovascular diseases [
3]. In young individuals, MedDiet adherence is associated with anti-inflammatory benefits [
4], higher health-related quality of life [
5], lower depression symptoms [
6], cognitive performance [
7], physical fitness [
8], and reduced body mass index and obesity risk [
9]. Despite these benefits, about half of European children and adolescents show limited adherence to the MedDiet [
10].
Several factors may influence young individuals’ adherence to the MedDiet, with embracing a healthy lifestyle recognized as a relevant factor [
11]. In this context, the 24-h movement recommendations for physical activity, sedentary behavior, and sleep duration have shifted the focus from individual elements to the incorporation of all movement-related pursuits throughout the entire day [
12]. Numerous health and developmental outcomes have been linked to physical activity, sleep duration, and sedentary behaviors (e.g., screen time) among young people [
13,
14]. While most studies have investigated these behaviors in isolation, there is a recent shift toward a more unified approach, considering the interconnected and mutually dependent nature of 24-h movement behaviors [
15,
16]. Addressing these behaviors collectively aims to enhance health outcomes, such as reducing the risk of depression, obesity, and type 2 diabetes [
13,
15,
17‐
19]. Despite the claimed health advantages, a recent meta-analysis revealed that only 7.1% of young people worldwide followed the 24-h movement recommendations [
20].
To date, only a limited number of studies have explored the joint connection between the 24-h movement recommendations and dietary habits [
21‐
23], with only one specifically investigating this association with adherence to the MedDiet in adolescents [
21]. For instance, Thivel et al. [
22] observed that children meeting all three 24-h movement recommendations reported a healthier dietary pattern compared to those not meeting any of these three recommendations. Specifically, Tapia-Serrano et al. [
21] observed that adolescents meeting all three 24-h movement recommendations had higher odds of optimal adherence to the MedDiet; increased consumption of fruit/fruit juice, vegetables, fish, and cereals or grains (for breakfast); and lower consumption of commercially baked goods or pastries (for breakfast) and sweets and candy. Despite these studies, there is currently no research examining this relationship in early childhood.
Integrating the 24-h movement recommendations with dietary guidelines could potentially enhance effectiveness compared to promoting these recommendations independently in public health strategies [
24]. Thus, educators and health professionals might find the potential connection between the 24-h recommendations and various components of the MedDiet noteworthy for upcoming nutritional interventions. Therefore, this study aims to achieve two objectives: (1) assess the association between meeting all three 24-h movement recommendations and adherence to the MedDiet in early childhood and (2) examine whether participants meeting all three 24-h movement recommendations demonstrate greater adherence to individual MedDiet foods/components than those not meeting these recommendations.
Results
Table
1 shows the main characteristics of the study participants. Overall, 21% of the participants examined met all three 24-h movement recommendations. The proportion of participants with optimal adherence to the MedDiet was 43%. According to the 24-h movement recommendation status, the proportion of participants who had an optimal adherence to the MedDiet was higher in those who met all three 24-h movement recommendations (54%) than in those who did not (40%).
Table 1
Descriptive data of the study participants in the SENDO project enrolled between January 2015 and June 2023 (N = 822)
Age (years) | 4.5 (1.0) | 5.5 (0.5) | < 0.001 |
Sex | | | |
Boys (%) | 331 (51) | 95 (56) | 0.270 |
Girls (%) | 321 (49) | 75 (44) | |
Weight (kg) | 18.0 (3.1) | 20.0 (3.7) | < 0.001 |
Height (cm) | 109.0 (8.0) | 114.0 (8.8) | < 0.001 |
Body mass index (kg/m2) | 15.4 (1.9) | 15.5 (1.9) | 0.896 |
Body mass index (z-score)a | 0.2 (1.4) | 0.2 (1.3) | 0.874 |
Mother’s educational level | | | |
Non-university studies (%) | 143 (22) | 25 (15) | 0.048 |
University studies (%) | 509 (78) | 145 (85) | |
KIDMED (score) | 7.0 (3.0) | 8.0 (2.8) | < 0.001 |
Regular medicationb | | | |
No (%) | 417 (64) | 117 (69) | 0.274 |
Yes (%) | 235 (36) | 53 (31) | |
Adherence to the MedDiet (status) | | | |
Non-optimal (%) | 390 (60) | 79 (47) | 0.002 |
Optimal (%) | 262 (40) | 91 (55) | |
Table
2 depicts the unadjusted and adjusted odds ratios of having optimal adherence to the MedDiet according to meeting all three 24-h movement recommendation status. After adjusting for several covariates and considering the presence of siblings, greater odds of having an optimal adherence to the MedDiet were found for participants meeting all three 24-h movement recommendations (OR = 1.96, 95% CI 1.33–2.87,
p = 0.001) in comparison with their counterparts not meeting these recommendations. Table
S1 shows a significant linear trend between the number of 24-h movement recommendations met and the odds of having an optimal adherence to the MedDiet. Further detail on this association can be found in Table
S1.
Table 2
Odds of having an optimal adherence to the Mediterranean diet based on the number of 24-h movement recommendations met in early childhood
Not meeting all three | Reference | Reference |
Meeting all three | 1.71 (1.22–2.41, p = 0.002) | 1.96 (1.33–2.87, p = 0.001) |
Table
3 indicates the predictive margins and average marginal effects of reporting each specific KIDMED item based on meeting all three 24-h movement recommendation status. Significant differences were found for item 1 (“Takes a fruit or fruit juice every day”) (
p = 0.012), item 2 (“Has a second fruit every day”) (
p = 0.001), and item 3 (“Has fresh or cooked vegetables regularly once a day”) (
p = 0.018). For item 4 (“Consumes nuts regularly (at least 2–3 times per week)”), a borderline significant association was observed (
p = 0.082). Additional information reporting the predictive margins based on the number of 24-h movement recommendations met can be found in Table
S2.
Table 3
Predictive marginsa and average marginal effectsb of meeting all three 24-h movement recommendations based on each specific item of the Mediterranean Diet Quality Index in children and adolescents
Takes a fruit or fruit juice every dayc | 94 (92, 95) | 98 (95, 100) | 4.3 (0.9, 7.6) | 0.012 |
Has a second fruit every dayc | 65 (61, 68) | 78 (71, 85) | 13 (5.2, 21) | 0.001 |
Has fresh or cooked vegetables regularly once a dayc | 74 (71, 77) | 83 (77, 89) | 8.4 (1.5, 15) | 0.018 |
Has fresh or cooked vegetables more than once a dayc | 36 (32, 39) | 42 (35, 50) | 6.9 (− 1.7, 16) | 0.115 |
Consumes fish regularly (at least 2–3 times per week)c | 77 (74, 81) | 83 (77, 89) | 5.4 (− 1.4, 12) | 0.119 |
Goes more than once a week to a fast-food (hamburger) restaurant‡ | 1.0 (0.2, 1.7) | 1.8 (− 1.1, 4.7) | 0.8 (− 2.2, 3.8) | 0.586 |
Likes pulses and eats them more than once a weekc | 94 (93, 96) | 95 (91, 99) | 0.7 (− 3.7, 5.2) | 0.747 |
Consumes pasta or rice almost every day (5 or more times per week)c | 29 (25, 32) | 34 (26, 42) | 4.9 (− 4.1, 14) | 0.288 |
Has cereals or grains (bread, etc.) for breakfastc | 66 (63, 70) | 64 (56, 72) | − 2.0 (− 11, 6.9) | 0.655 |
Consumes nuts regularly (at least 2–3 times per week)c | 24 (21, 28) | 32 (24, 39) | 7.4 (− 9.5, 16) | 0.082 |
Uses olive oil at homec | 68 (65, 72) | 72 (65, 79) | 3.6 (− 4.0, 11) | 0.352 |
Skips breakfastd | 3.7 (2.1, 5.2) | 5.7 (1.4, 10) | 2.3 (− 3.2, 7.9) | 0.405 |
Has a dairy product for breakfast (yogurt, milk, etc.)c | 82.3 (79, 85) | 85 (80, 91) | 3.1 (− 3.8, 10) | 0.377 |
Has commercially baked goods or pastries for breakfastd | 31.9 (28, 36) | 28 (20, 35) | − 4.3 (− 13, 4.1) | 0.320 |
Takes two yogurts and/or some cheese (40 g) dailyc | 17 (14, 20) | 21 (14, 27) | 3.3 (− 4.2, 11) | 0.385 |
Takes sweets and candy several times every dayd | 8.0 (5.9, 10) | 12 (6.4, 17) | 3.7 (− 2.2, 9.7) | 0.219 |
Discussion
This study represents the first exploration of the relationship between 24-h movement recommendations and adherence to the MedDiet in early childhood. In summary, our results suggest that children adhering to all three recommendations were more likely to have a higher KIDMED score and follow the MedDiet compared to those not meeting these recommendations. Specifically, higher odds were observed for consuming one piece of fruit or fruit juice daily, a second piece of fruit daily, and fresh or cooked vegetables among those meeting all three 24-h movement recommendations, in contrast to their counterparts not meeting these recommendations. These findings align with previous research conducted in different populations, including children [
22,
32] and adolescents [
21,
23], as well as a review by Fournier et al. [
24], which advocates for the integration of nutritional recommendations within the framework of 24-h movement recommendations. Notably, while such associations have been explored in older age groups, this study is the first to investigate this relationship in early childhood. Several potential reasons may account for these findings.
One possible explanation for the observed relationship between adherence to 24-h movement recommendations and adherence to the MedDiet may be attributed to the phenomenon of clustering among healthy and unhealthy behaviors [
33,
34]. The concept of clustering is grounded in the understanding that lifestyle influences are diverse and interconnected [
33]. In line with this concept, a previous review highlighted the close relationship and interconnected nature of 24-h movement behaviors and dietary patterns [
24]. The adoption of healthier behaviors can trigger a ripple effect, leading to the establishment of other beneficial habits. Conversely, unhealthy behaviors tend to cluster, forming a cycle that is challenging to break [
24,
35]. Indeed, a systematic review and meta-analysis reported that children and adolescents with higher adherence to the MedDiet tend to engage in higher levels of physical activity, exhibit greater physical fitness, and participate in less sedentary lifestyles [
34]. Engaging in physical activity can serve as a pathway to adopting other positive habits, as knowledge, experiences, skills, and self-confidence gained from one behavior can transfer and influence the adoption of others [
36]. Regular physical activity can assist in establishing a routine and forming healthy habits. Once a routine is established, individuals may find it easier to incorporate other healthy behaviors, such as maintaining a Mediterranean-style diet [
37]. Likewise, engaging in one positive behavior, like regular physical activity, can lead to positive reinforcement and a sense of well-being [
38]. This positive reinforcement may motivate individuals to adopt other healthy habits, including maintaining a balanced and nutritious diet [
39]. Success in one health behavior can boost an individual’s self-efficacy in their ability to make positive changes, which may spill over into other areas of life, making it more likely for individuals to adopt and sustain healthy behaviors [
40]. These factors collectively provide possible explanations for the observed dose–response relationship in our analyses.
Another potential reason for the observed relationship may be linked to the role of appetite control. A review by Julian et al. [
41] highlighted that studies investigating energy balance regulation suggest that favorable movement behavior profiles are associated with healthier eating habits and enhanced appetite control. Moreover, excessive TV viewing among young individuals has been associated with increased food consumption, especially of more palatable and less satiating foods like high-calorie snacks and sugar-sweetened beverages. This phenomenon is attributed to the “mindless eating” hypothesis [
42,
43]. According to this hypothesis, when children and adolescents spend extended periods in front of screens, they may become less attentive to their eating habits as they engage in other activities simultaneously [
44]. Furthermore, the role of sleep duration could be another contributing factor. A meta-analysis indicated that short sleep duration was specifically linked to unhealthier eating habits, such as lower fruit/vegetable consumption [
45]. It is possible that sleep restriction may promote hedonic stimuli in the brain, altering brain connectivity and increasing the reward value of food [
46], especially unhealthy foods [
47]. Consistent with this, a recent review suggested that while the evidence on the association between sleep duration and levels of appetite-regulating hormones in adolescents is conflicting, insufficient sleep may impact dietary choices by enhancing the reward value of foods, particularly those high in carbohydrates [
48].
Moreover, it is possible that engaging in physical activity might stimulate hunger, potentially leading to an increased intake of food to compensate for the energy expended during the activity [
49]. Notably, engaging in physical activity before a meal has been associated with a reduction in immediate energy intake, especially when there is a shorter time gap between exercise and eating [
50]. Additionally, inadequate sleep duration has been linked to a lower basal metabolic rate, reduced physical activity, and increased sedentary behaviors among young children [
51]. Therefore, a hypothesis emerges that young children adhering to 24-h movement recommendations for physical activity, recreational screen time, and sleep duration during early childhood may maintain a more active lifestyle, possibly requiring higher energy expenditure for their daily activities. In this context, fruits, rich in carbohydrates, and nuts, abundant in fats, could serve as valuable sources of fuel to meet the elevated energy demands associated with an active lifestyle.
Another possible explanation may be found in the role of essential nutrients. As mentioned earlier, individuals who are physically active may have increased energy demands, leading to a greater need for essential and non-essential nutrients such as vitamins and minerals. This heightened nutritional requirement could serve as a motivation for them to adopt healthier eating habits. For example, vitamin B6 is crucial for the proper release of glycogen stored in muscles and the liver, ensuring a continuous supply of energy during exercise. Fruits and vegetables, as components of the MedDiet, could contribute to a higher fiber intake [
52]. It is conceivable that individuals meeting 24-h movement recommendations may have a greater fiber intake, aligning with findings from a previous study in children [
32]. Considering an active lifestyle’s higher energy and fiber demands to support proper digestive system function [
53], a diet rich in fruits and vegetables becomes beneficial. Conversely, a diet rich in ultra-processed foods, deviating from the main components of the MedDiet, might contribute to insufficiency of certain micronutrients [
54]. Therefore, it is possible that active children may require increased amounts of vitamins (e.g., vitamin C and vitamin B6) and fiber, and adherence to the MedDiet (including fruits and vegetables) could, at least partially, explain this observed association.
This study has several limitations that should be acknowledged. First, the cross-sectional design impedes the establishment of causal relationships. The relationship could be bidirectional, and future longitudinal and experimental studies are needed to discern the directionality of this association. Second, although the questionnaires used to assess movement behaviors and diet are considered valid and reliable, reliance on parent-reported data may introduce a potential for overestimation of results [
55]. Future research could enhance accuracy by incorporating device-based measurements for physical activity, sedentary behavior, and sleep duration. Third, the study did not assess parenting practices related to meal preparation and food selection, which is important given that participants in this age phase rely on meals prepared by their parents. Caution should be exercised in interpreting the results in this context. Fourth, the high proportion of mothers with university studies in both groups may limit the generalizability of findings to families with lower education levels, underscoring the need for more diverse educational level representation in future research. Finally, the observational design introduces the possibility of residual confounding by unaccounted variables. Despite these limitations, the study has notable strengths, including a substantial sample size. Analyses were adjusted for relevant factors such as age, sex, parents’ education level, and body mass index, and the presence of siblings in the household was considered through GEE models, enhancing the robustness of the results. The calculation of average marginal effects provides an intuitive technique for interpreting regression estimates, facilitating comparisons across studies [
56].
In conclusion, this study contributes additional evidence supporting the potential significance of meeting all three 24-h movement recommendations for adopting a healthier eating pattern. The observed association between adherence to 24-h movement recommendations and adherence to MedDiet in early childhood suggests that promoting these movement behaviors could enhance the beneficial effects of the MedDiet on health.
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