Introduction

Coeliac disease (CD) is an autoimmune condition that entails chronic enteropathy and affects ~1% of the general population [1]. It is triggered by the ingestion of gluten in genetically predisposed individuals, and it is characterized by specific serological and histological findings [1]. Currently, the only effective therapy available is strict lifetime adherence to a gluten-free diet (GFD), which leads to the remission of symptoms and to the normalization of serological and histological patterns in most patients [1].

Due to the prevalence of CD and to the recent identification and mass-media spreading of the non-coeliac gluten sensitivity condition, which has been self-reported by up to 13% of the population [2], a significant proportion of people in industrialized countries are currently consuming GFDs. However, GFD can be nutritionally incomplete if education steps are not taken. Numerous studies have tried to assess the dietary intakes of CD patients on GFD and have found mixed results [3,4,5,6,7]. Some studies blamed GFD to be unbalanced, leaning toward high-fat intake, especially of saturated fats [8, 9]. This aspect might increase cardiovascular risk throughout patients’ life [10]. This is especially true for pediatric patients who may start GFD at a very early age.

Data on GFD dietary assessments mostly come from single-center studies reflecting the local habits. A worldwide picture would be helpful to verify whether the GFD is appropriate and to identify potential areas of improvement for the patient’s health and wellbeing. Therefore, the primary aim of this systematic review and meta-analysis was to comprehensively assess the absolute and relative dietary intakes in terms of macro and micronutrients of GFDs followed by adult and pediatric CD patients in the world.

Methods

The present systematic review was performed according to the guidelines of the preferred reporting items for systematic review and meta-analyses (PRISMA-P; see Supplementary Table 1) [11]. The methodological quality of the included studies was rated through the Newcastle–Ottawa scale [12], which was simplified to two items (i.e., representativeness of the exposed cohort and assessment of outcome) given the outcome of interest, i.e., the absolute and relative proportion of macro- and micro-nutrients in GFD.

Literature search and study selection

A comprehensive literature search was independently performed by three investigators (MG; LF; US) up to October 2022 by querying PubMed, Scopus, and Scholar using controlled vocabulary, medical subject headings (MeSH) terms, and using different combinations of the following terms: “gluten-free diet”, “composition”, “nutrition”, “coeliac disease”, “nutrient intake”, “micronutrient intake”, “macronutrient intake”, “vitamin intake”, “mineral intake” and “fiber intake”. The PubMed search string was: (diet, gluten free[MeSH Terms]) OR (composition[All fields] OR nutrition[All fields]) AND (coeliac disease[MeSH Terms]).

We included studies on coeliac patients on GFD providing data on the average daily absolute energy intake or the average daily percentage or absolute intake of nutrients, i.e., carbohydrates, proteins, fats, saturated fats, fibers, sodium, calcium, iron, magnesium, and vitamin D. Papers with information on at least one nutrient and assessing daily intake with 24-h, 3-day or 7-day dietary records were included. Prospective and retrospective studies with no minimum number of patients, published in the English language were considered for inclusion. We excluded studies published in abstract form or considering non-CD patients on GFD. CD patients were defined as those with a confirmed diagnosis of CD based on clinical symptoms, immunological tests, and histopathological pictures of biopsies taken from the duodenum.

Titles and abstracts were first screened. Subsequently, the authors assessed the full body of potentially relevant screened studies and included those satisfying the inclusion criteria. Disputes were resolved by collegial discussion. The reason for excluding studies from the selection process was recorded.

Data extraction

The same three authors who performed the search (MG; LF; US) extracted data independently from the included studies on a pre-specified datasheet. Discrepancies were resolved by verifying from the full text of the study of concern. The following data were extracted from each study: design and country, number of centers involved, study size, demographics of patients (i.e., mean age and gender distribution), duration of GFD, absolute and relative macronutrient (i.e., carbohydrates, proteins, fats, saturated fats, and fibers) and micronutrient (i.e., sodium, calcium, iron, magnesium, and vitamin D) intake. For the purpose of the analyses, data on absolute energy intake expressed as KJ or MJ were converted into Kcal. Values expressed as mmol/day were converted into g/day or mg/day, as appropriate.

Outcome assessment

The primary outcome was the average daily percentage of intake of nutrients provided by the GFD. The key secondary outcome was the absolute daily average intake of energy (Kcal) and nutrients for the GFD, according to age groups (<9, 9–<13, 13–<18, and >18). In the age stratification analysis, five studies could not be included as age distribution was not available. Studies providing outcome data separately for males and females were included on a per-arm basis. However, a stratified analysis by gender was not feasible due to the limited number of studies providing data separately for males and females.

To offer an easy interpretation of data to all health professionals, especially those not specialized in nutrition, the recommended intakes provided by the “Dietary Reference Values for nutrients—Summary Report” of the European Food Safety Authority (EFSA) [13] were taken into consideration as benchmark. Given the global overview of this study, the “2020–2025 Dietary Guidelines for Americans” of the U.S. Dept. of Health and Human services and U.S. Dept. of Agriculture [14] were also considered.

Statistical analysis

Means were pooled through a random effects model, and presented as point estimates with a 95% confidence interval (CI). Statistical heterogeneity was computed through the I2 statistic, defined as high if I2 > 50%, and tested through the Q2 test (statistical significance set as p < 0.1). To explore possible sources of heterogeneity, we performed meta-regression and subgroup analyses. Variables potentially impacting on the outcomes were selected a priori and included: publication year, country, study design, and mean age of patients. In meta-regression analysis, we computed the R2 statistic, being the proportion of variance explained by the model for each potential predictor. In subgroup analysis, we compared subsets through a likelihood ratio test to assess for significant differences. To investigate publication bias, we drew a funnel plot and performed the Egger regression test. All the analyses were performed with R statistical software [15] with metafor package [16].

Results

Study characteristics and quality

The literature search yielded 3515 articles (Fig. 1). Based on the inclusion criteria, 38 published articles were included in the systematic review, for a total of 2114 CD patients on a GFD. The patients’ age ranged from 8 to 59 years, and 32–95% were females. Twenty-nine studies [1774 (84%) patients] were performed in Europe, and 9 [340 (16%) patients] outside Europe. Twenty-two studies [1048 (49.6%) patients] were retrospective in design, whereas 16 [1066 (50.4%) patients] prospective. The publication year ranged from 1994 to 2022. The GFD mean duration ranged from 1 to 21 years. Characteristics and main outcomes of the included studies are summarized in Table 1.

Fig. 1: Main steps of the study.
figure 1

This PRISMA flow diagram summarizes the search and study selection process results.

Table 1 Characteristics of the included studies.

Nutrient intakes as a percentage of the gluten-free diet

Main outcomes are reported in Fig. 2. Nineteen studies including 1351 coeliac subjects on GFD reported data on the daily average percentage intake of carbohydrates [the pooled result was 47.8% (CI, 45.7–49.8%) with high heterogeneity (I2 = 98%)]. Nineteen studies including 1274 coeliac subjects on GFD reported data on the daily average percentage intake of proteins [the pooled result was 15.5% (CI, 14.8–16.2%) with high heterogeneity (I2 = 96%)]. Twenty studies including 1388 coeliac subjects on GFD reported data on the daily average percentage intake of fats [the pooled result was 35.8% (CI, 34.5–37%) with high heterogeneity (I2 = 95%)]. Fifteen studies including 1138 coeliac subjects on GFD reported data on the daily average percentage intake of saturated fats. The study by Larretxi et al. was considered an outlier and excluded from analysis. [17] The pooled result was 13.2% (CI, 12.4–14%) with high heterogeneity (I2 = 96%).

Fig. 2: Random effect meta-analysis of average daily percentage intakes of macronutrients.
figure 2

a Carbohydrates: summary effect = 47.8%, 95% CI (45.7–49.8%). b Proteins:summary effect = 15.5%, 95% CI (14.8–16.2%). c Fats:summary effect = 35.8%, 95% CI (34.5–37.0%). d Saturated fats: summary effect = 13.2% (of total fats), 95% CI (12.4–14.0%). Squares show mean values, the square’s size the weight while the lines reflect 95% confidence intervals (CI). Diamonds show pooled estimates.

Absolute nutrient intakes of the gluten-free diet

The overall pooled average intakes are reported in Fig. 3. All data showed high heterogeneity (I2). The average daily energy intake was 1995 Kcal (CI 1884–2106; I2 = 98%) with 239 g (CI 226–252, I2 = 96%) of carbohydrates, 77 g (CI 72–81, I2 = 97%) of proteins, 78 g (CI 73–83, I2 = 97%) of fats, 27 g (CI 23–31, I2 = 99%) of saturated fats, and finally 16 g (CI 15–18, I2 = 98%) of fiber.

Fig. 3: Random effect meta-analysis of average daily absolute intakes of energy and macronutrients.
figure 3

a Energy: summary effect = 1995 kcal/day, 95% CI (1884–2106). b Carbohydrates: summary effect = 239 g/day, 95% CI (226–252). c Proteins: summary effect = 77 g/day, 95% CI (72–81). d Fats: summary effect = 78, 95% CI (73–83). e Saturated fats: summary effect = 27 g/day, 95% CI (23–31). f Fibers: summary effect = 16 g/day, 95% CI (15–18). Squares show mean values, the square’s size the weight while the lines reflect 95% confidence intervals (CI). Diamonds show pooled estimates.

Macronutrient and fiber intakes presented by age-stratification are summarized in Supplementary Figs. 13. The overall pooled average daily fiber intake was 15.5 g (CI 13.6–17.3) with high heterogeneity (I2 = 98%) with the following age-distribution: 13.4 (CI 8.4–18.5) g for children <9 years old, 12 (CI 9.3–14.7) g for children aged 9–<13, 13.3 (CI 7.8–18.8) g for adolescents aged 13–<18, and 18.9 (CI 16.5–21.4) g for adults (see Supplementary Fig. 2). The EFSA adequate fiber intake is 2 g/239 kcal (1MJ) from the age of 1 year and 25 g/day or 1.8–2.9 g/MJ in adults [13]. Applying the EFSA recommendations based on the average daily absolute energy intake (Supplementary Fig. 1a), the expected daily fiber intakes are as follows: 14.4 g for children <9 years old, 15.3 g between 9 and 13 years, and 18.3 g between 13 and 18 years. The expected fiber intake for adults is 18.8 g/day considering the average value (2.4 g/MJ) of the range above indicated.

The overall pooled average daily calcium intake was 896.2 (CI 787.8–1004.6) mg with high heterogeneity (I2 = 96%). When stratified by age, average calcium intake fulfilled recommendation in adults, but it did not in preadolescence and adolescence [578.0 (CI 224.7–931.2) mg for children <9 years old, 811.6 (CI 579.4–1043.7) mg for children aged 9–<13, 671.4 (CI 286.1–1056.7) mg for adolescents aged 13–<18, and 1004.9 (CI 866–1143.9) mg for adults] (Supplementary Fig. 4). Magnesium had a pooled average daily intake of 258.8 (CI 199.1–318.4) mg with high heterogeneity (I2 = 99%). Magnesium assumption complied with recommendation only in adults (357.2 CI 322.4–392.1 mg vs. 173.4 CI 68.2–278.7 mg in children <9 years old, 178.7 CI 114.6–242.7 mg in 9–<13 years old, and 184.6 CI 44.1–325.1 mg in 13–18 years old) (Supplementary Fig. 4). Daily iron intake averaged 10.7 (CI 8.9–12.5) mg with high heterogeneity (I2 = 99%). Adults (13.2 mg, CI 11.3–15) met the daily recommendations, whereas this was not true for preadolescents and adolescents [7.5 CI 4.7–10.2 mg <9 years old, 8 CI 5.3–10.8 mg in 9–<13, and 8.1 CI 3.0–13.2 mg in 13–18) (Supplementary Fig. 4). The overall pooled average daily vitamin D intake was 3.3 (CI 1.6–4.9) mcg with high heterogeneity (I2 = 99%). The EFSA vitamin D recommended adequate intake is 15 mcg/day for all healthy individuals over 1 year of age [13]. The lowest intakes occurred in children and adolescents [0.8 (CI −0.4–2.0) mcg for children <9 years old, 3.1 (CI 1.3–4.9) mcg for children aged 9–<13, 1.6 (CI −1.3–4.5) mcg for adolescents between 13 and 18 years old, and 5.1 (CI 1.4–8.8) mcg for adults] (Supplementary Fig. 5). Average daily sodium intake was 2203.9 (CI 1683.5–2724.4) mg with high heterogeneity (I2 = 99%), with the highest consumption in young children and adults (1725.6 CI 513.5–2937.7 mg in children <9 years old, 1707 CI 1079–2335 mg in 9–<13 years old, 1419 CI −29.4–2867.4 in 13–18 years old, and 2986.8 CI 2481.2–3492.5 mg in adults) (Supplementary Fig. 5).

Sensitivity analysis and publication bias

The heterogeneity impact of study design, publication year, country, and proportion of male patients is shown in Tables 2 and 3. In Northern Europe, GFDs had more saturated fats, as percentage (p < 0.001), and more absolute calories and nutrients except for sodium. Calcium (p < 0.001) resulted significantly higher in Northern than in Southern Europe. In Southern Europe, the percentage intake of protein (p = 0.04) and total fat (0.024) was higher than in Northern Europe. High fiber intake (p = 0.008) appears to be associated with prospective studies. Throughout years of publication, the absolute energy intake and quantity of carbohydrates significantly decreased (p 0.01 and p 0.001, respectively). This trend included protein, fat and saturated fat, calcium, magnesium, and iron intakes even though results were not statistically significant. Males consumed a higher relative proportion of saturated fats than females (p = 0.017).

Table 2 Subgroup meta-analysis according to country (i.e., Northern vs. Southern Europe).
Table 3 Metaregression analysis according to study design (i.e., prospective vs. retrospective), publication year and male gender.

The methodological quality of the included studies was judged as low, mostly due to retrospective design and unspecified adherence of patients to GFD. Study quality evaluation is detailed in Table 4. No significant publication bias was detected on the primary outcome (i.e., the percentage average daily intake of nutrients provided by the GFD), according to both the visual inspection of funnel plots (see Fig. 4) and the regression tests (p = 0.178, p = 0.492, p = 0.793, and p = 0.606 for carbohydrate, protein, fat, and saturated fat intake respectively).

Table 4 Study quality evaluation according to a modified Newcastle–Ottawa scale.
Fig. 4: Funnel plot visual inspection of average daily intakes of nutrients.
figure 4

A Carbohydrates; B Proteins; C Fats; D Saturated fats.

Discussion

These systematic review and meta-analysis explored quality and quantity of GFD. The GFDs tended to abound in fats and especially saturated fats and to be inadequate in fiber intake. Further, calcium, magnesium and iron intakes were particularly inadequate among adolescents, whereas the vitamin D intake was insufficient for both children and adults. Protein intakes were overrepresented in all patients, while daily energy tended to be below recommendations. Most of these results are comparable to trends seen in the general population living in Western countries [18]. However, considering that GFD is a lifelong requirement for CD patients and these patients usually benefit from a follow-up, it is reasonable to guide them through valid eating habits. These eating habits may be even more effective if they take place in early life so as to be perpetuated thereafter.

In this analysis, GFDs tend to display a reversed trend in carbohydrate content, leaning toward the lower end of the EFSA recommended range, with a shift toward fats, which can cover more than 40% of the daily caloric intake [17, 19, 20]. This shift is a mimic of the high-fat (>35 E%) and low-carbohydrates (<50 E%) diet, whose long-term effects are unknown although some metabolic derangements potentially harm the vascular system due to chronic lipid profile unbalance and hyperhomocysteinemia [20,21,22]. When classified by age, absolute figures showed that teenagers consumed the largest quantity of total and saturated fat among all age groups. Preference for saturated fat seemed to start at 9 years of age and progressively increased peaking in adolescence. Such eating patterns can set the stage for early atherosclerosis and other metabolic dysfunctions in adulthood [21]. In a long-term follow-up study in Scottish CD patients, the authors found a four-fold increased standardized mortality ratio due to cerebrovascular diseases in childhood-diagnosed cases [23]. This result was not significant, but adequately powered follow-up studies are required. In this meta-regression analysis men had a considerable intake of saturated fats. This result is compatible with the hypothesis that men are motivated by the “strong taste” and are more prone to eating fatty and junk food than women [24]. Future studies may investigate this interesting association.

The overall dietary fiber intake was between 12 and 19 g/day among all age groups, being out of range for all. More specifically, the average fiber intake reached 93% of EFSA recommendations [13] in children below 9 years of age, 79% in those below 13 years, and 73% in adolescents. As for adults, fiber intake (19 g/day) was insufficient if the benchmark was the absolute recommended value of 25 g/day, but adequate when related to the average daily absolute energy intake. To have more than a benchmark can be confusing and this aspect needs to be considered when proposing reference intakes. In our opinion, the computation of fiber intake based on energy is more appropriate. When considering the USDA guidelines [14], fiber intakes did not reach two-thirds of the recommendations due to the more generous reference values in all age groups. It is not easy to introduce fiber when adhering to a GFD especially if people tend to stick to commercial products and do not use naturally gluten-free cereals. A recent population-based study in Sweden highlighted how the change from gluten-containing to GFD has led to a different food selection in adolescents [25]. Other recent systematic reviews underlined several nutritional deficiencies or excesses, which include some of our results [26,27,28]. In all these studies, it has been clear that CD patients need to be educated to adhere to a balanced diet, to the selection of naturally gluten-deprived food and pseudo-cereals during their follow-ups. Advocacy of a food composition database of gluten-free products in Canada was also suggested by Jamieson et al. [29]. Food labels will certainly improve knowledge of both CD patients and health professionals and will contribute to changes in eating habits. These changes should occur during youth to prevent the occurrence of non-communicable diseases. A low fiber intake, on top of being associated with constipation [30], may be an indirect cardiometabolic risk factor, expose to overweight due to a less satiating effect of food [31] and modify the microbiota.

Our study tried to expand previous isolated evidence showing that GFD may lead to micro-nutrient deficiencies [3]. Several nutrients such as calcium, magnesium and iron were insufficiently assumed in adolescents. Vitamin D dietary intake was also insufficient among all age groups, being at the lowest intake in children under 9 years, who did not reach 20% of the recommendations. These findings may imply both general and specific consequences such as skeletal alterations with reduced peak bone and increased risk of atopy and autoimmunity [32]. On the contrary, sodium intake was acceptable in children and adolescents, peaking in adults. This result was unexpected as saturated fat and sodium are often combinedly present in food items and sodium is also highly assumed when animal protein intakes are excessive. Sodium intake was assessed only in a small number of studies compared to other nutrients and this may explain the results.

Insightful hints come from the sensitivity analyses. Firstly, Northern Europe countries compared to Southern Europe yielded GFDs richer in saturated fats and calcium. One explanation might be related to the higher dietary content in butter and margarine in Northern Europe, compared with the higher consumption of olive oil in Southern Europe. Similar latitudinal comparisons could not be obtained in studies performed in the United States of America. Secondly, the absolute daily content in total calories tended to decrease over time. In detail, carbohydrate reduction was statistically significant in most recent studies. This may reflect a tendency toward a remodulation of GFD diets with a reduction of simple sugars. Intake of several other nutrients (i.e., calcium, iron, protein, fat and saturated fat) seems to have decreased over time. This might be explained by a decline in consumption of milk and red meat in recent years [33]. Nonetheless, such data should be taken cautiously, as metaregression and subgroup meta-analysis generally yield exploratory and not confirmatory results.

Our meta-analysis has strengths and limitations. The quality of most of the included studies was low, owing to the retrospective nature and the limited sample size. Moreover, the studies covered an extensive time span. This may imply changes in lifestyles, in selection of gluten-free products as well as changes in methodology assessment of investigators who have had access to different amount of information over the years. The list of gluten-free food has expanded considerably and food labels, even with a minimal description of nutrients, were not present in the past. Most studies were performed in Europe. The dietary intake assessment was not carried out uniformly across all studies, and not all studies reported exhaustive information on the patients’ characterization. Moreover, the analysis stratified by age groups was based on the mean age of the included subjects as the studies reported. Furthermore, very few studies covered nutrient intakes in children and adolescents. To monitor the diet of these age groups is an action to target. Taken altogether, such limitations clearly affect the degree of confidence in our estimates. However, we followed the PRISMA recommendations [11] for conducting systematic reviews and meta-analyses to offer a first comprehensive overview of gluten-free dietary patterns followed by CD patients belonging to all age groups, highlighting the pro and cons of such diet.

In conclusion, GFDs can expose to nutrient imbalance with potential health consequences in the long run. Whether that is due to specific nutrients, the whole diet and/or lifestyle habits is still to be determined. Given that life-long adherence to a GFD is the only treatment for CD, a thorough nutritional guidance (taking advantage of follow-ups) must be provided at any age but especially during youth, when disease prevention is possible and mandatory. These nutritional tips can also guide people with other diseases demanding GFD.