ORIGINAL ARTICLE

Evaluation of dietary quality in patients with functional gastrointestinal symptoms: a Norwegian single centre study

 

Ida Marie Holm1, Sissi Christiane Stove Lorentzen1, Monica Hauger Carlsen2, Jørgen Valeur3,4, Tonje Mellin-Olsen1 and Hanna Fjeldheim Dale1,3*

1Department of Clinical Support, Lovisenberg Diaconal Hospital, Oslo, Norway; 2Department of Nutrition, University of Oslo, Oslo, Norway; 3Unger-Vetlesen Institute, Lovisenberg Diaconal Hospital, Oslo, Norway; 4Institute of Clinical Medicine, University of Oslo, Oslo, Norway

Popular scientific summary

Abstract

Background: Poor dietary quality has been described as a contributor to symptoms in subjects with functional gastrointestinal (GI) symptoms. Hitherto, the focus in dietary evaluation and treatment in this patient group has mainly been on avoiding individual nutrient deficiencies, and less attention has been given to the dietary pattern and the overall food quality. Hence, we aim to describe and evaluate the dietary quality in patients with functional GI symptoms.

Methods: Patients with GI symptoms and a diagnosis of irritable bowel syndrome or inflammatory bowel disease in remission, consecutively referred to a clinical dietitian for nutritional guidance, were included. All participants completed a 7-day weighed food record. The intake of foods, energy, macro- and micronutrients was computed. Dietary quality was evaluated by intake frequencies based on a predefined food index, combined with assessing achievement of nutrient intake recommendations.

Results: A total of 35 patients were included. Intake frequencies of red meat, cheese and sweets were high, whereas intake frequencies of green leafy vegetables, berries, nuts, whole grain and legumes were low. The total intake of vegetables, fruit, berries, fish and nuts was lower than current recommendations, and the intake corresponded to intake below recommendations for several micronutrients, including vitamins D, C and A; iodine; folate; potassium; and selenium.

Conclusion: The group of patients with GI symptoms had overall inadequate dietary quality. Low intake of nutrient-dense food groups considered as beneficial for health corresponded with insufficient intake of several micronutrients. We recommend that dietary evaluation should focus on the intake of food groups, rather than nutrients, in the treatment of patients with functional GI symptoms, to ensure a better evaluation of dietary quality.

Keywords: Nutritional evaluation; dietary patterns; irritable bowel syndrome; inflammatory bowel disease; Mediterranean diet; gut-microbiota interaction

 

Citation: Food & Nutrition Research 2024, 68: 10692 - http://dx.doi.org/10.29219/fnr.v68.10692

Copyright: © 2024 Ida Marie Holm et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license.

Received: 5 April 2024; Revised: 18 November 2024; Accepted: 19 November 2024; Published: 23 December 2024

*Hanna Fjeldheim Dale, Unger-Vetlesen Institute, Lovisenberg Diaconal Hospital, Postboks 4970 Nydalen, 0440 Oslo, Norway. Email: hanna.dale@outlook.com

Competing interests and funding: The authors declare no potential conflicts of interest.

To access the supplementary material, please visit the article landing page

 

Functional gastrointestinal (GI) symptoms are common in patients with irritable bowel syndrome (IBS) and inflammatory bowel disease (IBD) (1, 2). These are gut-microbiota-related disorders, and diet is a central contributor to both risk of disease and generation of symptoms (35). Diets with poor dietary quality, such as the ‘Western diet’ with higher intake of fast food and ‘lower quality’ foods such as red meat, sugary and ultra-processed foods have been associated with the severity of symptoms and negative alterations in the gut microbiota in this patient group (610). In contrast, dietary patterns in line with the Mediterranean diet have been associated with beneficial gut-microbiota alterations and improvement in GI symptoms (1012).

Dietary management of functional GI symptoms commonly includes restriction or elimination of specific foods or food groups (13). Elimination diets are associated with risk of nutrient deficiencies and unhealthy dietary patterns, unless supported by appropriate guidance (14, 15). Patients with IBS and IBD are also known to exhibit food-avoidance behaviour and follow self-imposed dietary restrictions (1618), which highlights the importance of ensuring nutritional adequacy in the treatment of this patient group.

To date, the traditional evaluation of diet has been focusing mainly on the intake of energy, macro- and micronutrients, whilst less attention has been given the dietary pattern and the overall dietary quality in patients with functional GI symptoms (10). The traditional evaluation approach to dietary assessment, which focuses mainly on assessing individual nutrient deficiencies and comparing it with reference values intended for a healthy population, can be regarded as limited. Implementing knowledge about the diet-gut microbiota interaction by considering the overall dietary quality, rather than adjusting individual dietary components, may help optimise dietary treatment in patients with functional GI symptoms (19, 20). Hence, including scores for dietary diversity compared with a reference diet known to be beneficial for this particular patient group may add valuable information when evaluating and adjusting patients’ dietary patterns (21).

Here, we describe and evaluate the dietary quality of patients with functional GI symptoms related to IBS and quiescent IBD, as defined by adherence to a Mediterranean dietary index (MIND diet), combined with achievement of specific nutrient intake recommendations.

Methods

Study design

This study was completed between March and December 2021 at the outpatient gastroenterology clinic at Lovisenberg Diaconal Hospital (LDH). Consecutive patients referred to a clinical dietitian with symptoms of IBS according to the Rome IV criteria (22) and a diagnosis of IBS or IBD in remission were eligible for inclusion. Exclusion criteria included: ongoing intestinal inflammation, a diagnosed eating disorder and inability to complete written food records. Participants were recruited during their first appointment with a dietitian at the outpatient clinic, and all participants completed a 7-day consecutive weighed food record (WFR). This study was approved by the data protection officer at LDH, and all participants signed an informed consent form before inclusion.

Evaluation of dietary quality

The definition of dietary quality varies between studies. In the current study, we evaluate dietary quality using two previously suggested metrics: Dietary diversity (number of different foods consumed) and nutrient adequacy (achievement of recommended intake) (23). Evaluation of dietary diversity was done by calculating intake frequencies according to a predefined food index, based on the MIND diet as defined by Morris et al. (21). The MIND diet is based on the Mediterranean and DASH diets (24) and was selected as the Mediterranean diet is a dietary pattern suggested to be beneficial in the treatment of functional GI symptoms (12). The original definitions from the MIND diet index were revised to include the full variety of foods reported in the WFR. Olive oil and margarine were not captured sufficiently by the WFR and were therefore omitted from the data analysis. We report MIND diet references for optimal frequency intake of food groups, but not the total MIND diet scores. The frequency of intake of the MIND diet food groups was calculated on a weekly basis. Evaluation of nutrient adequacy was calculated based on the dietary intake reported in the WFR and compared with the Norwegian dietary recommendations (25).

The weighed food record

Participants received a printed WFR booklet together with a digital scale (Beneco, Mod. 9810). They were instructed to weigh all food and drink prior to intake for seven consecutive days. All subjects were as asked to provide detailed descriptions of each food item and weigh and subtract any leftovers. For foods and meals consumed outside of the home, the participants were asked to describe serving sizes using standard household units or other recognisable descriptions.

Calculation of dietary intake

Total energy intake, food intake and intake of macro- and micronutrients were computed using the food composition database AE-21 and the dietary assessment system Kostberegningssystemet (KBS, version 7.4, 2021–2022) developed at the Department of Nutrition, University of Oslo, Norway. Food items or dishes that were missing in the food database were substituted with comparable items/dishes. If no comparable item/dish was found in the database, the nutrition information and/or recipe for the item/dish in question or a comparable item/dish was imported from other food databases, information from food producers, retailers or recipe databases available online. Calculated intake was compared to recommended intake of macro- and micronutrients according to the Norwegian guidelines current in 2022 (25).

Statistics

Statistical analysis was performed in SPSS (IBM SPSS statistics 28.0.1.1) and Microsoft Excel (Microsoft Excel 16.0). Graphical illustrations were made in GraphPad Prism version 10 (Dotmatics, Boston, USA). Characteristics of the study population are described using descriptive statistics. Categorical variables are presented as frequencies (n) and percentages (%). Variables showing normal distribution are presented as mean and 95% confidence interval (95% CI), and variables showing skewed distribution are presented as median and 25th and 75th percentiles (25th, 75th).

Results

Baseline characteristics

A total of 58 participants were recruited, of which 11 withdrew and 12 were excluded due to incomplete dietary registration. In total, 35 participants completed the 7-day WFR and were included in the final analysis. The majority of the participants were females diagnosed with IBS. Baseline characteristics are shown in Table 1.

Table 1. Descriptive characteristics of participants
Baseline characteristics All participants, n = 35
IBS/IBD 28/7
Female/male 26/9
Age, mean (95% CI) 36.8 (33.2, 40.4)
Body mass index, median (25th, 75th) 24.7 (21.8, 26.3)
IBS, irritable bowel syndrome; IBD, inflammatory bowel disease.

Evaluation of intake frequencies according to MIND diet index

Frequency counts of intake of different food groups (counted as servings) as defined in the MIND diet and the MIND diet cut-offs values are presented in Fig. 1. The intake of red meat and cheese was reported on average once a day, and the intake of pastries and sweets was reported more than 4 days a week, all higher than what is considered beneficial according to the MIND diet cut-offs. Intake frequency of green leafy vegetables, berries, nuts, whole grain and legumes was lower than what is considered beneficial according to the cut-offs. Intake frequencies of vegetables, fish, poultry, wine and fast fried foods were in accordance with the cut-off values.

Fig 1
Fig. 1. Frequency of intake of different food groups presented as counts per week, as defined in the MIND diet, for the 35 patients with functional gastrointestinal symptoms, including recommended MIND diet cut-offs for each food group (21). The black line on the violin plot shows the median intake.

Intake of different food groups

Table 2 describes the total intake of different food groups as calculated from the WFRs. Women had lower median intakes of several of the food groups compared to men. Bread constituted the majority of the participants’ intake of grains, and only a small part of the median intake of vegetables was leafy green vegetables. The intake of both berries and nuts was also low. Participants’ intake of red meat was more than double that of fish, and the median daily intake of legumes was zero. The combined intake of food that can be categorised as ‘pastries and sweets’ (cakes, pastries, biscuits, chocolate and sweets) was 18 g/day.

Table 2. Median daily food intake from the weighed food record, in grams per day, amongst all participants, women and men
Food group Intake*, g/d
All participants, n = 35 Women, n = 26 Men, n = 9
Median 25th, 75th Median 25th, 75th Median 25th, 75th
Bread 83 39, 119 69 31, 113 195 91, 262
Breakfast cereals 6 0, 25 6 0, 24 0 0, 25
Rice 13 0, 52 13 0, 50 20 0, 62
Pasta 0 0, 22 0 0, 22 0 0, 28
Potatoes 31 11, 44 20 10, 42 41 37, 49
All vegetables 147 71, 202 153 104, 222 135 62, 171
Leafy vegetables 6 0, 17 1 0, 13 17 6, 25
Fruit 47 15, 133 45 16, 98 129 10, 185
Berries 3 0, 19 4 0, 18 3 0, 28
Juice and smoothies 44 2, 110 47 6, 112 40 1, 129
Nuts 5 0, 25 5 0, 30 6 0, 15
Meat, red 57 26, 88 47 25, 71 57 23, 172
Meat, white 30 18, 48 27 7, 48 31 2, 92
Fish 25 14, 46 23 13, 42 38 32, 83
Eggs 20 0, 47 20 0, 51 9 0. 47
Legumes 0 0, 7 0 0, 7 4 0, 22
Milk and dairy products 251 135, 331 252 113, 494 245 137, 308
Fermented products 0 0, 72 13 0, 91 0 0, 54
Cheese 41 21, 59 38 20, 58 42 9, 72
Margarine, oils 5 1, 11 4 1, 9 13 2, 17
Butter 1 0, 5 0 0, 6 4 0, 4
Cakes, pastries and biscuits 6 0, 23 6 0, 24 2 0, 30
Chocolate and sweets 12 4, 33 11 3, 29 32 0, 52
Potato crisps 0 0, 16 0 0, 11 14 0, 46
Sugar-sweetened soft drinks 0 0, 32 0 0, 30 0 0, 47
Artificially sweetened soft drinks 29 0, 165 32 0, 200 0 0, 84
Coffee 186 34, 301 141 5, 230 299 238, 586
Tea 26 0, 260 18 0, 244 26 0, 427
Beer 47 0, 143 0 0, 143 94 47, 329
Wine 29 0, 93 59 0, 130 0 0, 57
*Estimates are based on dietary intake from the weighed food records and presented as median and 25th and 75th percentiles due to skewed distributions of data.

Intake of energy and macronutrients

The intake of energy and macronutrients is presented in Table 3. The average energy intake was 8.0 MJ per day. The intake of saturated fatty acids was higher than recommended, at 13.2% of total energy intake (E%). Dietary fibre intake was lower than recommended at 22.3 g/day, and the total intake of carbohydrates was also lower than recommended. The average intakes of the remaining macronutrients, including added sugar and alcohol, were in adherence with the Norwegian dietary recommendations.

Table 3. Estimated intakes of energy (MJ/day) and energy-providing nutrients (E%) for all study participants, women and men
Nutrient Estimated dietary intake* Recommended daily intake**
All participants, n = 35 Women, n = 26 Men, n = 9
Mean (95% CI)
Energy, MJ/d 8.0 (7.4, 8.6) 7.4 (6.7, 8.1) 9.7 (8.6, 10.7)
Protein, E% 17 (16, 18) 17 (16, 19) 17 (15, 18) 10–20
Saturated fat, E% 13 (12, 14) 13 (12, 15) 13 (12, 15) <10
Carbohydrates, E% 38 (36, 40) 38 (35, 40) 38 (34, 42) 45–60
Dietary fibre, g/d 22 (19, 25) 21 (15, 28) 25 (16, 33) ≥25***
Median (25th, 75th)
Fat, E% 41 (34, 43) 40 (33, 43) 41 (37, 43) 25–40
Monounsaturated fat, E% 16 (13, 17) 15 (12, 17) 17 (14, 20) 10–20
Polyunsaturated fat, E% 6.5 (5, 7.3) 6.6 (5.6, 7.3) 6.4 (5.0, 9.8) 5–10
Omega-3, E% 1.2 (0.8, 1.8) 1.1 (0.8, 1.8) 1.2 (0.9, 1.8) ≥0,5
Added sugar, E% 3.3 (2.3, 5.7) 3.3 (2.3, 4.8) 4.0 (2.7, 7.8) <10
Alcohol, E% 2.9 (0.6, 7.2) 3.6 (0.9, 8.5) 2.9 (0.3, 6.2) <5
E%, percentage of total energy intake.
*Intake estimates are based on data from the weighed food records and are presented as mean and 95% CI for normally distributed variables. Variables with skewed distribution are presented as median and 25th and 75th percentiles.
**Intake recommendations for the general adult population from the Norwegian dietary guidelines (25).
***≥25 g/day is the minimum recommendation for women, whilst men are recommended ≥35 g/day (25).

Intake of micronutrients

The tables showing total intakes of micronutrients as well as degree of non-adherence to dietary recommendations for each micronutrient are provided in the Supplementary Material. The intakes of vitamins D, C and A; iodine; folate; potassium; and selenium were lower than recommended for both women and men.

Nearly 75% of participants consumed insufficient amounts of vitamin A. The median intake of vitamin D was 4.8 mg amongst the women and 3.4 mg amongst the men. None of the participants consumed sufficient vitamin D. Whilst the median intake of vitamin C was almost in line with the recommended intake, more than half of the participants reported intakes below recommended levels.

The intake of iodine was 99.3 mg amongst women and 72.9 mg amongst men, with 80% of all participants not meeting recommended intake levels. More than 75% had insufficient intakes of folate, with median intake at 226 mg. More than 50% of participants consumed enough potassium, and over 70% consumed insufficient amounts of selenium. Only 4% of women had sufficient intake of iron, with a median intake of 9.4 mg. Half of the participants had insufficient intakes of calcium. Additionally, half of the participants had higher sodium intakes than recommended.

Discussion

To our knowledge, this is the first study reporting on dietary quality in patients with GI symptoms by including measures for dietary diversity based on a gut-microbiota-specific beneficial reference diet. The dietary diversity measured by intake frequencies of defined food groups showed that the patients had lower intake frequencies than recommended for several food groups shown to be beneficial for patients with GI disease (12, 21), including green leafy vegetables, berries, nuts, whole grain and legumes. These findings were supported by data on total daily food intake, showing that the intake of vegetables, fruit, berries, whole grain, fish and nuts was low compared with the Norwegian dietary guidelines (25). The reported intake corresponded to intake below recommendations for several micronutrients, including vitamins D, C and A; iodine; folate; potassium; and selenium. Taken together, we found the dietary quality in the group of patients with functional GI symptoms to be inadequate.

For clinical practice, it should be noted that the low reported intakes of micronutrients correspond with low reported intakes of nutrient-dense food groups supplying the micronutrients in question. For example, the low intakes of vegetables, fruit and berries correspond with insufficient intakes of folate and vitamin C. The intake of fish, which was also low, may explain the observed insufficiencies in the intake of vitamin D and iodine. This suggests that a food-based approach can be useful in assessing patients’ diets as well as in the targeting of dietary interventions amongst these patients.

The selection of food groups in this study was based on the wish to investigate the consumptions of foods that may indicate adherence to dietary patterns considered beneficial for patients with functional GI symptoms. As a Mediterranean dietary pattern is suggested to be beneficial in patients with GI symptoms (12, 26), we chose to include the MIND diet index in the current evaluation of dietary quality. Whilst the MIND diet is the only dietary index that uniquely specifies green leafy vegetables and berries, which provides dietary fibre and may be of relevance for the gut microbiota, the clinical relevance of adhering to these food groups has not been investigated (21). Although a study investigating adherence to the MIND diet and the risk of IBS did not find significant associations (27), increasing evidence suggests the use of a Mediterranean dietary pattern in the treatment of already existing GI symptoms (12, 26). The MIND diet classification does not particularly define ultra-processed foods. Ultra-processed foods, including several additives, are suggested to negatively impact the GI tract (10, 28). Notably, it could have strengthened the study to also include the NOVA classification for describing the intake of ultra-processed foods in the current IBS population (29).

Our findings are partly in line with previously reported results on dietary intake in subjects with GI symptoms. A recent study describing dietary intake and nutritional status in newly diagnosed IBD patients reported higher total intake of vegetables, fruit, berries, bread whole grain products, coffee, soft drinks and fish, and lower intakes of milk, cheese and alcohol than what was found amongst the participants in our study (30, 31). Comparable to our results, they reported a high proportion of insufficient dietary intakes of several micronutrients (30). Of note, these data were based on a food frequency questionnaire (FFQ) and not weighed measures; hence, the deviating findings may reflect differences between the dietary assessment methods. Interestingly, a recent cross-sectional observational trial of American adults highlights the importance of a food-based approach when evaluating diet related to GI health (32). They present that higher dietary quality, seen as habitual intake of legumes, vegetables and soluble fibres, is negatively correlated with markers for GI inflammation (32).

The intake of red meat in our population was within the recommendations and low compared to both the general population and IBD patients (25, 30, 33). The low meat intake could correspond with the low iron levels detected; hence, it has to be highlighted that although meat is considered to reduce the food quality in the current evaluation, meat contributes with a lot of beneficial nutrient when eaten in recommended amounts. The intake of sweets was lower than expected compared to the general population (33). The reported intake of dietary fibre was also lower than recommended, corresponding to the low reported intake of bread and other whole grain cereals, vegetables, fruits and berries. Low fibre intake has been reported in other studies on comparable populations and may be related to perceived intolerance to carbohydrate-containing foods, of which intake was also low, and likely related to the reduction of FODMAPs (16, 18, 30, 34). The low fibre intake raises clinical concerns related to both overall health and concerns related to the gut microbiota (35, 36). The dietary intake of saturated fat was higher than recommended but comparable to that of the general population and of other patients with functional GI symptoms (25, 30, 33).

Notably, the average energy intake amongst the participants was generally low compared to estimated energy needs. Keeping food records and weighing food items are known to cause dietary change due to self-monitoring, particularly with multiple recording days, and underreporting is particularly common for foods considered as unhealthy (37, 38). It is likely that underreporting may have affected our results, and that the participants in fact have diets of even worse quality than captured by the WFR, as unhealthy foods are likely underreported. In addition, food-avoidance is a known issue in patients with functional GI symptoms and may be particularly likely in a sample of untreated patients (16, 18), which might explain the low intakes reported for several food groups, such as legumes, nuts and vegetables. The intake frequency of MIND diet food groups that are considered beneficial was calculated even from ultra-processed foods, for example, tomato sauce counting as ‘vegetables’ although present in an ultra-processed dish such as ready-bought pizza, lasagna or pasta. Ultra-processed foods constitute a large share of peoples diets today, and there is concern regarding the role of ultra-processed foods in affecting dietary quality, as well as in the etiology/symptom generation of functional GI symptoms, which have yet to be explored sufficiently (26, 39).

In conclusion, our findings show that the group of patients with GI symptoms investigated had overall inadequate dietary quality. Low intake of nutrient-dense food groups considered as beneficial for health, including vegetables, fruit, berries, whole grain, nuts, legumes and fish corresponded with insufficient intake of several micronutrients. We recommend that dietary evaluation should focus on the intake of food groups, rather than nutrients, in the treatment of patients with functional GI symptoms, to capture a better evaluation of dietary quality.

Author contributions

TMO, SCSL, MHC and IMH designed the study. SCSL, IMH and HFD carried out the data collection. IMH performed the data analysis and drafted the content. HFD prepared the final manuscript. IMH, SCSL, MHC, JV and TMO critically reviewed the manuscript. All authors approved the final version of the manuscript.

References

1. Longstreth GF, Thompson WG, Chey WD, Houghton LA, Mearin F, Spiller RC. Functional bowel disorders. Gastroenterology 2006; 130(5): 1480–91. doi: 10.1053/j.gastro.2005.11.061
2. Fairbrass KM, Costantino SJ, Gracie DJ, Ford AC. Prevalence of irritable bowel syndrome-type symptoms in patients with inflammatory bowel disease in remission: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol 2020; 5(12): 1053–62. doi: 10.1016/S2468-1253(20)30300-9
3. García-Montero C, Fraile-Martínez O, Gómez-Lahoz AM, Pekarek L, Castellanos AJ, Noguerales-Fraguas F, et al. Nutritional components in western diet versus Mediterranean diet at the gut microbiota-immune system interplay. Implications for Health and Disease. Nutrients. 2021; 13(2): 699. doi: 10.3390/nu13020699
4. Chicco F, Magrì S, Cingolani A, Paduano D, Pesenti M, Zara F, et al. Multidimensional impact of Mediterranean diet on IBD patients. Inflamm Bowel Dis. 2021; 27(1): 1–9. doi: 10.1093/ibd/izaa097
5. Hillestad EMR, van der Meeren A, Nagaraja BH, Bjørsvik BR, Haleem N, Benitez-Paez A, et al. Gut bless you: the microbiota-gut-brain axis in irritable bowel syndrome. World J Gastroenterol 2022; 28(4): 412–31. doi: 10.3748/wjg.v28.i4.412
6. Shau JP, Chen PH, Chan CF, Hsu YC, Wu TC, James FE, et al. Fast foods – are they a risk factor for functional gastrointestinal disorders? Asia Pac J Clin Nutr 2016; 25(2): 393–401. doi: 10.6133/apjcn.2016.25.2.28
7. Tap J, Störsrud S, Le Nevé B, Cotillard A, Pons N, Doré J, et al. Diet and gut microbiome interactions of relevance for symptoms in irritable bowel syndrome. Microbiome 2021; 9(1): 74. doi: 10.1186/s40168-021-01018-9
8. Buscail C, Sabate JM, Bouchoucha M, Kesse-Guyot E, Hercberg S, Benamouzig R, et al. Western dietary pattern is associated with irritable bowel syndrome in the French NutriNet cohort. Nutrients 2017; 9(9): 986. doi: 10.3390/nu9090986
9. Rizzello F, Spisni E, Giovanardi E, Imbesi V, Salice M, Alvisi P, et al. Implications of the westernized diet in the onset and progression of IBD. Nutrients 2019; 11(5): 1033. doi: 10.3390/nu11051033
10. Dale HF, Lorentzen SCS, Mellin-Olsen T, Valeur J. Diet-microbiota interaction in irritable bowel syndrome: looking beyond the low-FODMAP approach. Scand J Gastroenterol 2023; 58(12): 1366–77. doi: 10.1080/00365521.2023.2228955
11. Paduano D, Cingolani A, Tanda E, Usai P. Effect of three diets (low-FODMAP, Gluten-free and Balanced) on irritable bowel syndrome symptoms and health-related quality of life. Nutrients 2019; 11(7): 1566. doi: 10.3390/nu11071566
12. Staudacher HM, Mahoney S, Canale K, Opie RS, Loughman A, So D, et al. Clinical trial: a Mediterranean diet is feasible and improves gastrointestinal and psychological symptoms in irritable bowel syndrome. Aliment Pharmacol Ther 2024; 59(4): 492–503. doi: 10.1111/apt.17791
13. National Institute for Health and Care Excellence. Clinical guidelines. Irritable bowel syndrome in adults: diagnosis and management. London: National Institute for Health and Care Excellence (UK) ; 2017.
14. Slomski A. The low-FODMAP diet helps IBS symptoms, but questions remain. JAMA 2020; 323(11): 1029–31. doi: 10.1001/jama.2020.0691
15. Ireton-Jones C, Weisberg MF. Management of irritable bowel syndrome: physician-dietitian collaboration. Nutr Clin Pract 2020; 35(5): 826–34. doi: 10.1002/ncp.10567
16. Melchior C, Algera J, Colomier E, Törnblom H, Simrén M, Störsrud S. Food Avoidance and restriction in irritable bowel syndrome: relevance for symptoms, quality of life and nutrient intake. Clin Gastroenterol Hepatol 2022; 20(6): 1290–8.e4. doi: 10.1016/j.cgh.2021.07.004
17. Limdi JK, Aggarwal D, McLaughlin JT. Dietary practices and beliefs in patients with inflammatory bowel disease. Inflamm Bowel Dis 2016; 22(1): 164–70. doi: 10.1097/MIB.0000000000000585
18. Marsh A, Kinneally J, Robertson T, Lord A, Young A, Radford-Smith G. Food avoidance in outpatients with inflammatory bowel disease – who, what and why. Clin Nutr ESPEN 2019; 31: 10–16. doi: 10.1016/j.clnesp.2019.03.018
19. de Castro MM, Corona LP, Pascoal LB, Miyamoto JÉ, Ignacio-Souza LM, de Lourdes Setsuko Ayrizono M, et al. Dietary patterns associated to clinical aspects in Crohn’s disease patients. Sci Rep 2020; 10(1): 7033. doi: 10.1038/s41598-020-64024-1
20. Armet AM, Deehan EC, O’Sullivan AF, Mota JF, Field CJ, Prado CM, et al. Rethinking healthy eating in light of the gut microbiome. Cell Host Microbe 2022; 30(6): 764–85. doi: 10.1016/j.chom.2022.04.016
21. Morris MC, Tangney CC, Wang Y, Sacks FM, Barnes LL, Bennett DA, et al. MIND diet slows cognitive decline with aging. Alzheimers Dement 2015; 11(9): 1015–22. doi: 10.1016/j.jalz.2015.04.011
22. Mearin F, Lacy BE, Chang L, Chey WD, Lembo AJ, Simren M, et al. Bowel disorders. Gastroenterology 2016; 150(6): 1393–1407. doi: 10.1053/j.gastro.2016.02.031
23. Miller V, Webb P, Micha R, Mozaffarian D. Defining diet quality: a synthesis of dietary quality metrics and their validity for the double burden of malnutrition. Lancet Planet Health 2020; 4(8): e352–70. doi: 10.1016/S2542-5196(20)30162-5
24. Morris MC. Nutrition and risk of dementia: overview and methodological issues. Ann N Y Acad Sci 2016; 1367(1): 31–7. doi: 10.1111/nyas.13047
25. Nasionalt råd for ernæring. Kostråd for å fremme folkehelsen og forebygge kroniske sykdommer: metodologi og vitenskapelig kunnskapsbidrag. Oslo: Helsedirektoratet; 2011.
26. Hashash JG, Elkins J, Lewis JD, Binion DG. AGA clinical practice update on diet and ntritional therapies in patients with inflammatory bowel disease: expert review. Gastroenterology 2024; 166(3): 521–32. doi: 10.1053/j.gastro.2023.11.303
27. Nouri-Majd S, Salari-Moghaddam A, Hassanzadeh Keshteli A, Esmaillzadeh A, Adibi P. The association between adherence to the MIND diet and irritable bowel syndrome. Dig Dis 2022; 40(2): 198–205. doi: 10.1159/000517015
28. Wu S, Yang Z, Liu S, Zhang Q, Zhang S, Zhu S. Ultra-processed food consumption and long-term risk of irritable bowel syndrome: a large-scale prospective cohort study. Clin Gastroenterol Hepatol 2024; 7: 1497–1507.e5. doi: 10.1016/j.cgh.2024.01.040
29. Monteiro CA, Cannon G, Lawrence M, Costa Louzada ML, Pereira Machado P. Ultra-processed foods, diet quality, and health using the NOVA classification system. Rome: Food and Agriculture Organization of the United Nations.; 2019.
30. Zerouga I. Master thesis: dietary and FODMAP intake in newly diagnosed inflammatory bowel disease patients and associations with irritable bowel syndrome. Oslo, Norway: University of Oslo; 2021.
31. Zerouga I, Valeur J, Sommer C, Cvancarova Småstuen M, Medhus AW, Lund C, et al. Dietary intake and nutritional status in patients with newly diagnosed inflammatory bowel disease: insights from the IBSEN III study. Scand J Gastroenterol. 2024; 15: 1–9. doi: 10.1080/00365521.2024.2313056
32. Bouzid YY, Wilson SM, Alkan Z, Stephensen CB, Lemay DG. Lower diet quality associated with subclinical gastrointestinal inflammation in healthy United States adults. J Nutr 2024; 154(4): 1449–60. doi: 10.1016/j.tjnut.2024.02.030
33. Totland TH, Melnæs BK, Lundberg-Hallén N, Hellan-Kigen KM, Lund-Blix NA, Myhre JB, et al. Norkost 3: En landsomfattende kostholdsundersøkelse blant menn og kvinner i Norge i alderen 18–70 år, 2010–2011. Oslo: Helsedirektoratet; 2012.
34. Halmos EP, Power VA, Shepherd SJ, Gibson PR, Muir JG. A diet low in FODMAPs reduces symptoms of irritable bowel syndrome. Gastroenterology 2014; 146(1): 67–75.e5. doi: 10.1053/j.gastro.2013.09.046
35. Hillestad EMR, Van Der Meeren A, Nagaraja BH, Bjørsvik BR, Haleem N, Benitez-Paez A, et al. Gut bless you: the microbiota-gut-brain axis in irritable bowel syndrome. World J Gastroenterol 2022; 28(4): 412–31. doi: 10.3748/wjg.v28.i4.412
36. Simrén M, Tack J. New treatments and therapeutic targets for IBS and other functional bowel disorders. Nat Rev Gastroenterol Hepatol 2018; 15(10): 589–605. doi: 10.1038/s41575-018-0034-5
37. Willett W. Nutritional epidemiology. 3rd ed. Boston, USA: Oxford University Press; 2013.
38. FAO. Dietary assessment: a resource guide to method selection and application in low resource settings. Rome: Food and Agriculture Organization of the United Nations; 2018.
39. Lane MM, Gamage E, Du S, Ashtree DN, McGuinness AJ, Gauci S, et al. Ultra-processed food exposure and adverse health outcomes: umbrella review of epidemiological meta-analyses. BMJ 2024; 384: e077310. doi: 10.1136/bmj-2023-077310