Adherence to the Mediterranean Diet Across the League of Arab States: A Systematic Review
Abstract
1. Introduction
2. Methods
2.1. Literature Search
2.2. Selection Criteria for Studies
2.3. Data Extraction and Quality Assessment
2.4. Data Analysis
3. Results
3.1. Study Selection
3.2. Study Characteristics
3.3. MD Adherence Levels
3.4. MD Adherence Subgroups
3.5. Quality Assessment of the Included Studies
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Parameter | Inclusion Criteria | Exclusion Criteria |
---|---|---|
Date Range | 2010 to November 2024 | N/A |
Population | At least around 1000 participants in the sample size. Arabic-speaking populations that reside in an Arab League member state. | Much less than 1000 participants as the sample size. Non-Arab or Arabic-speaking populations. Arab diaspora residing outside an Arab League member state. Individuals with chronic illnesses or co-morbidities (e.g., IBD, CVD, diabetes, kidney disease, cancer, HIV), or with impaired food autonomy (e.g., dementia, Alzheimer’s, schizophrenia). Specific subpopulations (e.g., pregnant women, centenarians or elderly people, athletes). Studies conducted amid the COVID-19 pandemic. |
Measures of interest | Mediterranean diet adherence | N/A |
Language | English | All other languages. |
Study type | Peer-reviewed original research articles | Non-peer-reviewed articles. Study protocols. Narratives. Similar article types. Gray literature. Communications. White papers. Conference proceedings. |
Authors, Year | Target Population (Country) | Study Design | Sample Size * | MD Assessment Tool or Scoring System | Results |
---|---|---|---|---|---|
Naja et al., 2019 [48] | Adults over 20 years old (Lebanon) | Cross-sectional | 2610 | LMD, rMED score, Med-DQI, aMed | Low adherence to the MD was observed, with the majority of participants falling between low and moderate adherence, and a minority having high adherence. A higher adherence to the MD was associated with lower water use. All four MD scores were associated with lower greenhouse emissions. |
El Kinany et al., 2021 [42] | Adults over 18 years old (Morocco) | Cross-sectional | 1492 | MMD | Close adherence to the MD was associated with reduced overweight/obesity risk among Moroccan adults. Those with high adherence to the MD had a 39% reduced risk of excess weight compared with participants in the lowest compliance category. |
Shatwan et al., 2021 [43] | Adults 20–55 years old (Gulf countries: Saudi Arabia, Oman, Kuwait) | Cross-sectional | 961 | MEDAS | The highest adherence to the MD was associated with a decrease in two obesity indicators, body mass index and hip circumference. Low adherence to the MD was reported among participants from three Gulf countries. |
Naja et al., 2015 [49] | Adults between 20 and 55 years old (Lebanon) | Cross-sectional | 2048 | MedDietScore, IMI, rMED score, Med-DQI, MDS, Derivation of the LMD | Men, smokers, younger and less physically active participants, and those with lower education levels were less likely to adhere to an MD dietary pattern. |
El Rhazi et al., 2012 [50] | Adults over 18 years old (Morocco) | Cross-sectional | 2214 | A simplified score of MDS | Adherence to the MD is declining across the Moroccan population, regardless of age or education level. This is especially pronounced in rural communities, among individuals who live alone, and among those residing in affluent households. |
Elmskini et al., 2024 [47] | Adults over 18 years old (Morocco) | Cross-sectional | 1776 | MedDietScore | Compared to students of medical and paramedical sciences, those in both human and social sciences, natural sciences, and engineering showed higher MD adherence scores. Participants who attended nutrition-related training had higher MD adherence scores than those who did not. Similarly, non-overweight students had significantly higher MD adherence scores compared to their overweight/obese peers. |
Hashim et al., 2024 [44] | Adults over 25 years old (UAE) | Cross-sectional | 1314 | MEDAS | The study participants had a moderate adherence score. The MD adherence score was associated with physical activity. Nutrition information from dietitians and social media were the two most strongly related predictors for higher adherence. Being a smoker and from a non-Mediterranean country was associated with lower adherence scores. |
Zeenny et al., 2024 [46] | Adults over 18 years old (Lebanon) | Cross-sectional. | 2048 | LMDS | Higher adherence to the MD was associated with older age, being female, married, participating in regular physical activity, and having cardiovascular disease and diabetes. Adherence was negatively related to current and previous smokers and those with higher distress levels. |
Biggi et al. 2024 [45] | Adults between the ages of 18–79 (Tunisia and Morocco) | Cross-sectional. | 1617 (Morrocco: 803, Tunisia: 814) | MEDAS | Medium to low adherence was reported among Tunisian and Moroccan participants, with higher adherence observed in Morocco. Positive attitudes toward the healthiness of food were the strongest predictor of adherence, whereas picky eating was a significant negative predictor in both countries. Health motivations positively influenced adherence to the MD among Moroccans. Price and convenience were substantial barriers among Tunisians, whereas a preference for local and seasonal foods promoted adherence among Moroccans. |
Tool (Theoretical Range) | Used by | Utilized Score Cut-Offs | ||
---|---|---|---|---|
Low | Moderate | High | ||
MEDAS (0–13) | [43,44] | 0–5 | 6–7 | 8–13 |
[45] | 0–5 | 6–9 | More than 10 | |
aMed (0–9) | [48] | 0–2.9 | 3–5.9 | 6–9 |
rMed score (0–18) | [48,49] | 0–6.9 | 7–11.9 | 12–18 |
Med-DQI (0–14) | [48,49] | 0–4.6 | 4.7–9.3 | 9.4–14 |
LMD (9–27) | [48,49] | 9–14.9 | 15–20.9 | 21–27 |
MMD (0–12) | [42] | 0–6 | - | 7–12 |
IMI (0–11) | [49] | 0–3.6 | 3.7–7.3 | 7.4–11 |
MedDietScore (0–55) | [49] | 0–18.3 | 18.4–36.6 | 36.7–55 |
[47] | Not used | Not used | Not used | |
MDS (0–9) | [49] | 0–2.9 | 3–5.9 | 6–9 |
Simplified MDS (0–8) | [50] | 0–4 | - | 5–8 |
LMDS (0–64) | [46] | Not used | Not used | Not used |
Authors, Year | Country (Sample Size) | MD Adherence Tool (Tool’s Origin) | Mean Score ± SD | Classification of Mean (Standardized Tertiles) | Classification of Mean (Original Study Cut-Offs) | Distribution of Adherence Categories Reported by the Study * | ||
---|---|---|---|---|---|---|---|---|
Low | Moderate | High | ||||||
Naja et al., 2019 [48] | Lebanon (2610) | LMD (Lebanon) rMED score (Spain) Med-DQI (France) aMed (US) | NR | NA | NA | LMD: 29.8%, rMED: 21.7% Med-DQI: 27.8% aMED: 32% | LMD: 57.5% rMED: 71.5% Med-DQI: 65% aMED: 59.2% | LMD: 12.7% rMED: 6.8% Med-DQI: 7.2% aMED: 8.8% |
El Kinany et al., 2021 [42] | Morrocco (1492) | MMD (Morrocco) | NR | NA | NA | 21.0% | 56.0% | 23.0% |
Shatwan et al., 2021 [43] | Gulf countries (961) | MEDAS (Spain) | 5.9 ± 2.03 | Low (0–5) | Low (0–5) | 44.4% | 33.1% | 22.4% |
Naja et al., 2015 [49] | Lebanon (2048) | MedDietScore (Greece) IMI (Italy) rMED score (Spain) Med-DQI (France) MDS (Europe) LMD (Lebanon) | MedDietScore: 27.23 ± 4.65 IMI: 3.56 ± 1.76 rMED: 8.27 ± 2.49 Med-DQI: 6.20 ± 1.81 MDS: 4.18 ± 1.49 LMD: 17.38 ± 3.40 | MedDietScore: Moderate (18.4–36.6) IMI: Low (0–3.6) rMED: Moderate (6.1–12) Med-DQI: Moderate (4.7–9.3) MDS: Moderate (3–5.9) LMD: Moderate (15–20.9) | MedDietScore: Moderate (18.4–36.6) IMI: Low (0–3.6) rMED: Moderate (6.1–12) Med-DQI: Moderate (4.7–9.3) MDS: Moderate (3–5.9) LMD: Moderate (15–20.9) | NR | NR | NR |
El Rhazi et al., 2012 [50] | Morocco (2214) | A simplified score of MDS (Greece) | 5.1 ± 1.2 | Moderate (2.68–5.33) | High (5–8) | 29.9% | NA | 70.1% |
Elmskini et al., 2024 [47] | Morocco (1776) | MedDietScore (Greece) | 23.27 ± 5.47 | Moderate (18.4–36.6) | No categorization implemented | NR | NR | NR |
Hashim et al., 2024 [44] | UAE (1314) | MEDAS (Spain) | 5.96 ± 1.92 | Moderate (4.34–8.66) | Low (0–5) | 36.0% | 41.0% | 23.0% |
Zeenny et al., 2024 [46] | Lebanon (2048 [Females: 1054; Males: 994]) | LMDS (Lebanon) | Females: 30.90 ± 4.59 Males: 30.17 ± 4.84 | Moderate for both (42.7–64) | No categorization implemented | NR | NR | NR |
Biggi et al., 2024 [45] | Morocco (803) Tunisia (814) | MEDAS (Spain) | Morrocco: 7.62 ± 1.84; Tunisia: 7.21 ± 1.91 | Moderate for both (4.34–8.66) | Moderate for both (6–9) | Morocco: 11.8%, Tunisia: 19.4% | Morocco: 73.6%, Tunisia: 69.3% | Morocco: 14.6%, Tunisia: 11.3% |
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Faris, M.E.; Benajiba, N.; Aboul-Enein, B.H.; Abu Shihab, K.; Alshaalan, R.; Aldahash, R.; Almoayad, F. Adherence to the Mediterranean Diet Across the League of Arab States: A Systematic Review. Healthcare 2025, 13, 2217. https://doi.org/10.3390/healthcare13172217
Faris ME, Benajiba N, Aboul-Enein BH, Abu Shihab K, Alshaalan R, Aldahash R, Almoayad F. Adherence to the Mediterranean Diet Across the League of Arab States: A Systematic Review. Healthcare. 2025; 13(17):2217. https://doi.org/10.3390/healthcare13172217
Chicago/Turabian StyleFaris, MoezAlIslam E., Nada Benajiba, Basil H. Aboul-Enein, Katia Abu Shihab, Rasha Alshaalan, Rehab Aldahash, and Fatmah Almoayad. 2025. "Adherence to the Mediterranean Diet Across the League of Arab States: A Systematic Review" Healthcare 13, no. 17: 2217. https://doi.org/10.3390/healthcare13172217
APA StyleFaris, M. E., Benajiba, N., Aboul-Enein, B. H., Abu Shihab, K., Alshaalan, R., Aldahash, R., & Almoayad, F. (2025). Adherence to the Mediterranean Diet Across the League of Arab States: A Systematic Review. Healthcare, 13(17), 2217. https://doi.org/10.3390/healthcare13172217