Co-Development of Three Dietary Indices to Facilitate Dietary Intake Assessment of Pediatric Crohn’s Disease Patients
Publication: Canadian Journal of Dietetic Practice and Research
18 April 2024
Abstract
Literature on dietary behaviours of the pediatric Crohn’s Disease (CD) population and the relationship between dietary intake and CD activity is limited. Three dietary indices were developed and tested to conduct dietary pattern analysis in pediatric patients with CD consuming a free diet following remission induction via exclusive enteral nutrition (n = 11). Index scores underwent descriptive and inferential analysis. The mean adjusted scores (out of 100) for the Pediatric Western Diet Index, Pediatric Prudent Diet Index, and Pediatric-Adapted 2010 Alternate Healthy Eating Index (PA2010-AHEI) were 29.82 ± 15.22, 34.25 ± 15.18, and 51.50 ± 11.69, respectively. The mean Western-to-Prudent ratio was 0.94 ± 0.55. A significant correlation (r = −0.71) and relationship (F[1, 9] = 9.04, P < 0.05, R2 = 0.501) between the Western-to-Prudent ratio and PA2010-AHEI was found. The results suggest participants were not following a Western or Prudent diet, and were consuming foods not captured by the indices. More research is needed to describe dietary intake of individuals with CD, validate dietary indices in diverse samples, and explore the utility of these indices in CD assessment and treatment. The co-authors hope this work will stimulate/inspire subsequent interprofessional, dietitian-led research on this topic.
Résumé
La littérature sur les comportements alimentaires de la population pédiatrique atteinte de la maladie de Crohn (MC) et sur la relation entre l’apport alimentaire et l’activité de la MC est limitée. Trois indices alimentaires ont été créés et testés en vue d’analyser les habitudes alimentaires de patients pédiatriques atteints de la MC et ayant une alimentation libre après induction d’une rémission par nutrition entérale exclusive (n = 11). Les scores associés aux indices ont fait l’objet d’une analyse descriptive et inférentielle. Les scores moyens ajustés (sur 100) pour l’Indice pédiatrique d’alimentation occidentale, l’Indice pédiatrique d’alimentation prudente et l’Indice alternatif d’alimentation saine de 2010 adapté pour les enfants (PA2010-AHEI) étaient respectivement de 29,82 ± 15,22, 34,25 ± 15,18 et 51,50 ± 11,69. Le ratio occidentale/prudente moyen était de 0,94 ± 0,55. Une corrélation (r = −0,71) et une relation (F[1, 9] = 9,04, p < 0,05, R2 = 0,501) significatives ont été observées entre le ratio occidentale/prudente et le PA2010-AHEI. Les résultats suggèrent que les participants ne suivaient pas une alimentation occidentale ou prudente et qu’ils consommaient des aliments non pris en compte par les indices. Des recherches supplémentaires sont nécessaires pour décrire les apports alimentaires des personnes atteintes de MC, valider les indices alimentaires dans divers échantillons et explorer l’utilité de ces indices dans l’évaluation et le traitement de la MC. Les coauteurs espèrent que ce travail encouragera la tenue d’autres recherches interprofessionnelles menées par des diététistes à ce sujet.
INTRODUCTION
The role of medical nutrition therapy (MNT) in the modulation of intestinal health in individuals with inflammatory bowel disease (IBD) is supported by the effectiveness of exclusive enteral nutrition (EEN), the administration of a nutritionally complete, liquid formula (most often polymeric, i.e. composed of whole macronutrients) while excluding all other oral intake for 6 weeks or longer [1,2]. In mild to moderate Crohn’s Disease (CD), one type of IBD, EEN has been associated with a remission rate of approximately 80% [3–6]. Early relapse upon return to a free diet (food intake ad libitum) following EEN and the ineffectiveness of partial enteral nutrition (PEN; typically 25–75% of total energy requirements) with a free diet as an alternative MNT suggests that the success of EEN is related to exclusion of certain dietary components [6–11]. Recent research has implicated food additives, such as emulsifiers (e.g. carrageenan, carboxymethylcellulose) in impaired intestinal health, including inflammatory changes and degradation of the mucous layer, which separates the intestinal wall from pathogens and commensal microorganisms [12–14]. Other dietary components are thought to have a protective effect on intestinal health. For example, the fermentation of non-digestible carbohydrates (e.g. dietary fibre, resistant starch) produces short-chain fatty acids in the large intestine; these are involved in maintenance of the mucus layer, immune modulation, and decreased intestinal lumen pH, which can inhibit the growth of pathogens [15–17].
Literature on specific dietary components (i.e. nutrients, foods) and intestinal health provides potential insight into CD pathophysiology but relies heavily on animal models, and mechanisms are not fully understood [12–17]. Furthermore, nutrients and foods impact one another, making it difficult to study independent effects. This is relevant to literature interpretation, as individuals eat mixed meals, rather than isolated nutrients/foods [18–20]. Approaching the diet-disease link from the perspective of the overall diet (dietary pattern) can help address these limitations and offers a more practical approach, rationale that has been recognized by several clinical practice guidelines [21–23].
The Western and Prudent dietary patterns have been repeatedly identified and evaluated in the context of chronic disease prevention using a posteriori analysis (e.g. factor analysis) [24–26]. The Western pattern is associated with an increased risk of chronic disease associated with an inflammatory response, including IBD [27–30]. It is characterized by a high intake of animal protein, fried and processed foods, additives, refined grains, high glycemic index carbohydrates, high-fat dairy products, and added sugar [20,27,31,32]. Conversely, the Prudent pattern is associated with a decreased risk of chronic disease and is consistent with MNT that have been found to have a positive impact on chronic disease risk and/or inflammatory markers [31,33–38]. It emphasizes vegetables, fruits, legumes, whole grains, nuts, fish, poultry, low-fat dairy products, and is low in processed foods and often high in fibre and resistant starch [20,27,31,39]. Examples of MNT consistent with the Prudent pattern include the Mediterranean Diet and Dietary Approaches to Stop Hypertension.
The CD–dietary pattern relationship has not been fully described. A Canadian case-controlled study in pediatric patients with newly diagnosed CD (n = 149) identified four dietary patterns through factor analysis that explained approximately one-quarter of the variance in the dietary data [31]. A Prudent pattern was identified and was significantly negatively associated with CD development. In girls, a Western pattern was significantly associated with CD development. While a partial Western pattern (lower in animal protein) was identified in boys, there was no significant relationship with CD. Factor analysis using retrospective data on adolescent dietary habits from the Nurses Health Study II had similar results [33]. The Prudent pattern was associated with a decreased risk of CD and no significant relationship with the Western pattern was observed [33]. The Crohn’s Disease Exclusion Diet (CDED) is a whole-food dietary treatment for pediatric CD [6,10,40–42]. It excludes or limits certain foods and food additives characteristic of the Western pattern and emphasizes lean protein sources, fibre, and resistant starch [6,10,40]. In a 12-week randomized controlled trial in pediatric patients with mild to moderate CD (n = 74), the CDED with PEN had a remission rate comparable to EEN [6]. Its utility as a mono- or co-first line or rescue therapy has also been described in a recently published case series [40]. The CD treatment-with-eating diet, another novel dietary therapy, aims to recreate EEN using food by excluding certain dietary components and matching macronutrient and micronutrient intake [43]. An open-label trial in pediatric patients with mild to moderate CD found that 60% of participants (n = 5) were in clinical remission after 9 weeks of treatment [43]. Limitations of the literature described above include use of retrospective data and lack of standardized dietary intake assessment tools and protocols.
The observed relationships between dietary patterns and chronic disease and the success of novel dietary therapies in the treatment of pediatric CD highlight the importance of assessing dietary patterns at different points in CD disease course. Therefore, this work had two objectives: (1) develop and evaluate three dietary indices, and (2) using dietary pattern analysis (DPA), describe the dietary patterns of Canadian Maritime pediatric patients with CD after return to free diet post remission induction via EEN [44,45].
METHODS
Study design
Dietary intake data from a metagenomic approach to diagnosis, induction, and maintenance of deep remission following EEN in pediatric CD (MAREEN) Study were used to complete observational cross-sectional retrospective DPA.
MAREEN (2014–2017) generated data on a comprehensive clinical-, biomarker-, genetic-, and metagenomic-based approach to diagnosis, remission induction (via EEN), and remission maintenance of pediatric CD [44,45]. Participants starting EEN induction or re-induction therapy (week 0) were followed throughout the treatment course (12 weeks) and to week 96. A polymeric formula was used for EEN (consistent with standard EEN protocol at the treatment site).
The secondary analysis of the MAREEN dietary intake data via DPA is discussed in this paper and was approved by the IWK Health Centre (file number 1016081) and Mount Saint Vincent University (file number 2017-153) Research Ethics Boards.
Participants
Participants (n = 17) were prospectively recruited via MAREEN in Summer 2016. Participants were receiving care through the IWK Health Centre, including remission induction or re-induction via EEN.
Data collection and analysis
A 77-item semi-quantitative food frequency questionnaire (FFQ) [46] was used to collect data on dietary intake in the previous week. Three dietary indices were developed and used to complete DPA. The Western and Prudent pattern were chosen due to their wide use, acceptance, and role in health and disease literature, and the 2010 Alternate Healthy Eating Index (2010-AHEI) as it considers foods that are associated with favourable health outcomes and has been associated with lower risk of chronic disease [20,27–37,39,47–50]. The development of each index was informed by published dietary indices (Supplementary Table 1), and the most current Canada’s Food Guide (2007) at the time of analysis completion [24–26,51]. Components for the Pediatric Prudent Diet Index (PPDI) and the Pediatric Western Diet Index (PWDI) were developed based on the work of Hu et al. [52,53]. The 2010-AHEI was adapted using pediatric nutrient and food group intake guidelines to create the Pediatric Adapted 2010-AHEI (PA2010-AHEI). The dietary indices reflect current (at the time of analysis) MNT for IBD that include serving size guidelines, and school food and nutrition programing guidelines [6,10,54] (see supplementary Tables 2 to 12 for a detailed description of index development, components, and scoring).
The FFQs were analyzed by NutritionQuest [46], and a score for the PPDI, PWDI, and PA2010-AHEI was determined for each participant. The PPDI and PWDI scores were adjusted to be out of 100. The Western-to-Prudent ratio was also calculated for each participant. Scores for each index and the Western-to-Prudent ratio underwent descriptive analysis using IBM® SPSS® Statistics 24.0 (IBM SPSS Statistics for Windows, Version 28.0. Armonk, NY: IBM Corp, 2021). The correlation and relationship between the ratio and PA2010-AHEI scores were investigated using two-tailed Pearson’s correlation and simple linear regression, respectively. The assumptions of normality were tested prior to conducting Pearson’s correlation by assessing measures of central tendency (mean, median), kurtosis, skewness, and the Shapiro–Wilk test for each index and the ratio. For linear regression, the assumption of linearity and homoscedasticity were tested using plots of standardized residuals against standardized predicted values.
RESULTS
Participants
Seventeen participants were enrolled in MAREEN at FFQ administration in Summer 2016. Eleven (three female, eight male) returned a completed FFQ (response rate 64.7%) and were included in the secondary analysis. Respondents were 11–17 years of age and 14–112 weeks from MAREEN baseline (week 0).
Dietary index scores
Full results for the PPDI, PWDI, and PPDI to PWDI ratio are presented in Table 1.
PPDI: The mean (± standard deviation) adjusted total score (out of 100) was 34.25 ± 15.18 and the scores ranged from 16.50 to 66.33. The fruit component had the highest mean score (9.75 ± 0.58), and the fish component had the lowest mean score (1.00 ± 1.06). The vegetable component had the second highest mean score (4.16 ± 3.28). The maximum score (10) was observed for vegetable, dark yellow vegetable, and fruit. The minimum score (0) was only observed for fish and poultry.
PWDI: The mean adjusted total score (out of 100) was 29.82 ± 15.22. The refined grains component had the highest mean score (8.18 ± 4.05), followed by the high-energy drink component (3.58 ± 3.12). The high-fat dairy component had the lowest mean score (0.00 ± 0.00), as all participant scores were zero. The remaining components had a mean score of less than five. The maximum score (10) was observed for all components except high-fat dairy. The minimum score (0) was observed for all components except lunch meat.
PPDI to PWDI ratio: The mean ratio for the unadjusted total scores was 1.07 ± 0.62, with a range of 1.74 (minimum 0.29, maximum 2.04). For adjusted total scores, the mean was 0.94 ± 0.55 with a range of 1.53 (minimum 0.26, maximum 1.78).
PA2010-AHEI (see Table 2 for full results): The mean total score (out of 100) was 51.50 ± 11.69 and the total scores ranged from 34.19 to 67.81. The fruit component had the highest mean score (9.75 ± 0.58), followed by omega-3 fats (8.29 ± 1.72), polyunsaturated fatty acids (6.59 ± 1.83), and sugar-sweetened beverages (5.11 ± 3.77). Whole grains had the lowest mean score (1.90 ± 1.43). The maximum score (10) was not observed for this component or red/processed meat, trans fat, and polyunsaturated fatty acids. The minimum (0) score was observed for sugar-sweetened beverages, trans fat, and sodium.
Table 1.
SD = standard deviation.
a
Total score is out of 70.
b
Total adjusted score is out of 100.
c
Total score is out of 80.
Table 2.
AHEI, Alternate Healthy Eating Index; SD, standard deviation.
a
Total score is out of 100.
Correlation and regression
The assumptions of normality were not violated by the dietary index score data. A significant (P < 0.05) strong negative correlation (r = −0.71) between the Western-to-Prudent ratio and the PA2010-AHEI scores was observed. A significant relationship between the ratio and PA2010-AHEI was also seen (F[1, 9] = 9.04, P < 0.05, R2 = 0.501), and the ratio score explained 50.1% of the variance in the PA2010-AHEI scores. The slope coefficient was −13.27 (95% CI [−23.26, −3.29]) and was significantly different from 0 (P < 0.05).
DISCUSSION
This paper describes the development of three novel dietary indices and presents findings from DPA in a sample of Canadian pediatric patients with CD, following return to free diet after remission induction via EEN. The results suggest that the sample was consuming foods from both the Western and Prudent pattern. The observed non-adherence to either pattern may be due to low intake of certain components. The average component scores from the indices reflected low intake of whole grains, vegetables, lean poultry, fatty fish, legumes and high-fat dairy products, and moderate intake of nuts and red and processed meat.
The sample’s intake may be similar to the general Canadian population, with the exception of dairy product intake [30,55–58]. The average number of servings of milk and alternatives consumed per day by Canadians 2–18 years old is 2.10–3.30 [59]. Fluid milk and fortified soy beverages are an important source of milk and alternatives for this age group, and about one quarter consumed are high in fat and/or sugar [59]. Other high-fat and/or high-sugar dairy products (e.g. cheese, dairy-based desserts) are also major sources of this food group for this age [57]. No participants consumed more than two servings of high-fat dairy products per day. This could indicate intake of mostly low-fat dairy products (not assessed) or an overall low intake of dairy products. Ongoing supplemental EN, as per local protocol, could also contribute to low dairy intake.
Low intake of a variety of foods has been described in individuals with IBD. Tsiountsioura et al. found that compared to healthy controls, Scottish children with CD had a lower daily intake of dairy products, fish, and fruits and vegetables [60]. Maconi et al. found over one-third of adult patients with IBD intentionally changed their diet due to symptoms, including reducing milk, cheese, fat, and high-fibre food intake [61]. Similarly, a review on disordered eating habits in gastrointestinal (GI) disorders found that patients consumed less food than healthy individuals and suggested that reducing food intake was a way to cope with/control symptoms [62]. Evidence of food restriction in GI disorders and the sample’s low to moderate intake of the four food groups raises the question of what other foods are being consumed by this population.
It is possible that the Canadian pediatric CD population consumes a high amount of “other foods” (e.g., oils/fats, condiments, snack foods), like the general Canadian population [56]. The previously mentioned study in Scottish children found that children with CD had a higher daily intake of jams, chips, and savoury snacks than controls [60]. In Canadian children with CD, pre-diagnosis dietary patterns high in condiments, desserts, chips, and snack foods have been reported [31]. Since the three indices did not capture intake of these foods, the sample may have had a high intake of “other foods”.
Another potential explanation for the observed index scores is high consumption of liquids. A prior analysis of the MAREEN dietary data found that three of the eleven participants were consuming less than 600 g of solid food per day [63]. This suggests the participants had either inadequate intake or were consuming liquids as well. Since ongoing supplemental EN in addition to free diet is recommended as an adjunct therapy for remission maintenance after remission induction via EEN, and the mean scores for the PWDI high energy drinks component and PA2020-AHEI sugar-sweetened beverages component reflect low intake of these liquids (less than one standard pop can per day), it is possible the sample was consuming EN formula and other liquids not captured by the FFQ/indices [64]. For example, a pre-diagnosis dietary pattern with higher liquid consumption has been described in Canadian girls with CD [31].
Despite the observed significant negative correlation and relationship between the Western-to-Prudent ratio and the PA2010-AHEI, only half the variance in the PA2010-AHEI scores was explained by the ratio. This may be due to differences in the components of the three indices. The PA2010-AHEI does not capture four components included in the PWDI (high-fat dairy products, eggs, potatoes) and PPDI (poultry). It also assesses nut and sodium intake, which are not part of the other indices. Variability in the indices’ assessment of certain dietary intake (e.g., omega-3) may have impacted correlation. Additionally, the Western-to-Prudent ratio results were interpreted with the assumption that if an individual has a high PWDI score, they have a low PPDI score (and vice versa); this would be violated in the context of high or low intake of foods from both patterns.
The results of the analysis help describe the dietary intake of pediatric patients with CD; however, more research is needed in larger, diverse samples to develop a full understanding of this population’s dietary pattern following remission induction via EEN and at other points in disease course. Additional data could assist with development of a standard whole-food-based MNT for pediatric CD, which is an emerging area of research. More information on this population’s habitual dietary intake could also help with the implementation of MNT, as patients required to make dietary changes benefit from tailored, comprehensive nutrition education strategies [65,66].
Dietary indices can also be used to assess adherence to MNT for CD, such as the CDED. Using a validated tool to assess adherence to MNT can contribute to evidence for and the understanding of the therapy’s effectiveness. Integrating validated measurements of adherence into dietary intervention protocols would also support monitoring and allow for identification of patients who require additional education and/or support to achieve adherence. Since dietary indices do not capture all dietary intake, they should be used to assess/monitor adherence in conjunction with other dietary intake assessment methods and detailed review of intake by a trained clinician within an interdisciplinary setting [67,68].
There are several limitations to this work. The indices did not completely describe the sample’s intake, a limitation inherent to a priori analysis and FFQs. Recall bias and completion of the FFQ at home without support from clinicians may have impacted data quality. The analysis used a small sub-sample of the MAREEN Study, and demographic information (except age and sex) and markers of nutrition status and disease activity were not part of the analysis protocol. Therefore, the results may not be representative of the entire MAREEN sample, the Canadian pediatric CD population, or different demographic groups within this population. Dietary intake, and therefore index scores, may vary depending on disease activity and nutrition status. It should be noted that small sample sizes are common in pediatric CD research and the FFQ response rate is similar to those reported in the literature [6,10,69–71]. However, seasonal activities may have impacted the response rate.
RELEVANCE TO PRACTICE
The results of this work contribute to the existing knowledge of dietary intake of Canadian pediatric patients with CD and demonstrate the PPDI, PWDI, and the PA2010-AHEI have potential utility in dietary assessment of this population. While index validation studies are needed, this work highlights an opportunity to stimulate standardization of dietary assessment in pediatric CD. Rigorous dietary assessment methodology that includes standardized tools and administration protocols has the potential to strengthen data on the diet–CD relationship and further contribute to the prevention and treatment of CD. As dietary assessment is implemented in this population, consultation with appropriate nutrition and foods academics, clinicians, and professionals is needed to ensure appropriate data collection methods and tools are used.
Supplementary material
Supplementary data are available with the article through the journal Web site at https://doi.org/10.3148/cjdpr-2024-005
Acknowledgements
The authors thank all participants and their families who made this study possible. The MIRAPeds team was involved in the MAREEN Study implementation and supported the completion of the DPA. Leah Boulos (Maritime SPOR SUPPORT Unit) assisted in the literature review of existing Canadian and American dietary pattern indices.
Financial support: The MAREEN Study has received funding from the North American Society for Pediatric Gastroenterology, Hepatology and Nutrition (NASPGHAN) through the NASPGHAN Foundation Young Investigators Development Award (2013–2015.) In addition, JVL was supported by a Canadian Institutes of Health Research (CIHR)-Canadian Association of Gastroenterology-Crohn’s Colitis Canada New Investigator Award (2015–2019), a Canada Research Chair Tier 2 in Translational Microbiomics (2018–2019) and a Canadian Foundation of Innovation John R. Evans Leadership fund (awards #35235 and #36764), a Nova Scotia Health Research Foundation (NSHRF) establishment award (2015–2017), an IWK Health Centre Research Associateship, a Future Leaders in IBD project grant, a donation from the MacLeod family, a CIHR-SPOR-Chronic Diseases grant (Inflammation, Microbiome, and Alimentation: Gastro-Intestinal and Neuropsychiatric Effects: the IMAGINE-SPOR Chronic Disease Network), and the Wetenschappelijke Adviesraad of Stichting Steun Emma kinderziekenhuis. SG was supported by a Mount Saint Vincent University New Scholar Grant (grant number 42-0-165426) during the study period. AH received a CIHR Canada Graduate Scholarship for the 2016/2017 academic year. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
Competing interests: AH reports travel support from The Wolfson Medical Centre Pediatric Inflammatory Bowel Disease (PIBD) Retreat Grant. JVL reports consulting, travel and/or speaker fees, and research support from AbbVie, Janssen, Nestlé Health Science, Novalac, Pfizer, Merck, P&G, GSK, Illumina, and Otsuka. SG, BM, MP, LC, JC, and AO declare no actual or perceived conflict of interest.
Note: A previous version of this article was published with incomplete authorship; the current version is complete and correct.
REFERENCES
1
Penagini F, Dilillo D, Borsani B, Cococcioni L, Galli E, Bedogni G, et al. Nutrition in pediatric inflammatory bowel disease: from etiology to treatment. A systematic review. Nutrients, 2016;8:334.
2
Logan M, Gkikas K, Svolos V, Nichols B, Milling S, Gaya DR, et al. Analysis of 61 exclusive enteral nutrition formulas used in the management of active Crohn’s disease—new insights into dietary disease triggers. Aliment Pharmacol Ther. 2020;51(10):935–47.
3
Mallon D and Suskind D. Nutrition in pediatric inflammatory bowel disease. Nutr Clin Pract. 2010:335–9.
4
Zachos M, Tondeur M, and Griffiths A. Enteral nutritional therapy for induction of remission in Crohn’s disease. Cochrane Database Syst Rev. 2007;24:CD000542.
5
Wiskin A, Wootton S, and Beattie R. Nutrition issues in pediatric Crohn’s disease. Nutr Clin Pract. 2007;22:214–22.
6
Levine A, Wine E, Assa A, Sigall Boneh R, Shaoul R, Kori M, et al. Crohn’s disease exclusion diet plus partial enteral nutrition induces sustained remission in a randomized controlled trial. Gastroenterology, 2019;157:440–50.
7
Johnson T, Macdonald S, Hill S, Thomas A, and Murphy M. Treatment of active Crohn’s disease in children using partial enteral nutrition with liquid formula: a randomised controlled trial. Gut, 2006;55:356–61.
8
Cameron F, Gerasimidis K, Papangelou A, Missiou D, Garrick V, Cardigan T, et al. Clinical progress in the two years following a course of exclusive enteral nutrition in paediatric patients with Crohn’s disease. Aliment Pharmacol Ther. 2013;37:622–9.
9
El-Matary W. Enteral nutrition as a primary therapy of Crohn’s disease: the pediatric perspective. Nutr Clin Pract. 2009;24:91–7.
10
Sigall-Boneh R, Pfeffer-Gik T, Segal I, Zangen T, Boaz M, and Levine A. Partial enteral nutrition with a Crohn’s disease exclusion diet is effective for induction of remission in children and young adults with Crohn’s disease. Inflamm Bowel Dis. 2014 Aug;20(8):1353–60.
11
Wall CL, Gearry RB, and Day AS. Treatment of active Crohn’s disease with exclusive and partial enteral nutrition: a pilot study in adults. Inflamm Intest Dis. 2018 Jul;2(4):219–27.
12
Levine A and Wine E. Effects of enteral nutrition on Crohn’s disease: clues to the impact of diet on disease pathogenesis. Inflamm Bowel Dis. 2013;19:1322–29.
13
Martino J, Van Limbergen J, and Cahill L. The role of Carrageenan and Carboxymethylcellulose in the development of intestinal inflammation. Front Pediatr. 2017;1:96.
14
Kamada N, Seo S, Chen G, and Núñez G. Role of the gut microbiota in immunity and inflammatory disease. Nat Rev Immunol. 2013;13:321–35.
15
Rapozo D, Bernardazzi C, and de Souza H. Diet and microbiota in inflammatory bowel disease: the gut in disharmony. World J Gastroenterol. 2017 Mar;23(12):2124–40.
16
Koh A, De Vadder F, Kovatcheva-Datchary P, and Bäckhed F. From dietary fiber to host physiology: short-chain fatty acids as key bacterial metabolites. Cell, 2016;165:1332–45.
17
Ríos-Covián D, Ruas-Madiedo P, Margolles A, Gueimonde M, de Los Reyes-Gavilán C, and Salazar N. Intestinal short chain fatty acids and their link with diet and human health. Front Microbiol. 2016;7:185.
18
Ocké M. Evaluation of methodologies for assessing the overall diet: dietary quality scores and dietary pattern analysis. Proc Nutr Soc. 72;191–9.
19
Panagiotakos D. A-priori versus a-posterior methods in dietary pattern analysis: a review in nutrition epidemiology. Nutr Bull. 2008 Nov;33(4):311–5.
20
Hu F. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13:3–9.
21
Khoury M, Bigras J-L, Cummings EA, Harris KC, Hegele RA, Henderson M, et al. The detection, evaluation, and management of dyslipidemia in children and adolescents: a Canadian Cardiovascular Society/Canadian Pediatric Cardiology Association Clinical Practice Update. Can J Cardiol. 2022;38:1168–79.
22
Pearson GJ, Thanassoulis G, Anderson TJ, Barry AR, Couture P, Dayan N, et al. 2021 Canadian Cardiovascular Society Guidelines for the management of dyslipidemia for the prevention of cardiovascular disease in adults. Can J Cardiol. 2021;37:1129–50.
23
Sievenpiper J, Chan C, Dworatzek P, Freeze C, and Williams S. Diabetes Canada 2018 Clinical Practice Guidelines for the Prevention and Management of Diabetes in Canada: nutrition therapy. Can J Diabetes, 2018, 42, S64–79.
24
Matsunaga M, Hurwitz E, and Li D. Development and evaluation of a dietary approaches to stop hypertension dietary index with calorie-based standards in equivalent units: a cross-sectional study with 24-hour dietary recalls from adult participants in the National Health and Nutrition Examination Survey 2007–2010. J Acad Nutr Diet. 2018;118:62–73.
25
Rumawas M, Dwyer J, McKeown N, Meigs J, Rogers G, and Jacques P. The development of the Mediterranean-style dietary pattern score and its application to the American Diet in the Framingham Offspring Cohort. J Nutr. 2009;139:1150–6.
26
Cheng G, Duan R, Kranz S, Libuda L, and Zhang L. Development of a dietary index to assess overall diet quality for Chinese school-aged children: the Chinese Children Dietary Index. J Acad Nutr Diet. 2016;116:608–17.
27
Kant A. Dietary patterns and health outcomes. J Am Diet Assoc. 2004;104:615–35.
28
Lane E, Zisman T, and Suskind D. The 340 Microbiota in inflammatory bowel disease: current and therapeutic insights. J Inflamm Res. 2017;10:63–73.
29
Pastorino S. The association of adult lifecourse body mass index, waist circumference and dietary patterns with type 2 diabetes incidence in the MRC National Survey of Health and Development. London, UK: University College London; 2014.
30
Jessri M, Wolfinger R, Lou W, and L’Abbé M. Identification of dietary patterns associated with obesity in a Nationally Representative Survey of Canadian Adults: application of a priori, hybrid, and simplified dietary pattern techniques. Am J Clin Nutr. 2017;105:669–84.
31
D’Souza S, Lambrette P, Ghadirian P, Deslandres C, Morgan K, Seidman E, et al. Dietary patterns and risk for Crohn’s disease in children. Inflamm Bowel Dis. 2008;14:367–73.
32
Brand-Miller J, Holt S, Pawlak D, and McMillan J. Glycemic index and obesity. Am J Clin Nutr. 2002;76:281S–5S.
33
Ananthakrishnan A, Khalili H, Song M, Higuchi L, Richter J, Nimptsch K, et al. High school diet and risk of Crohn’s disease and ulcerative colitis. Inflamm Bowel Dis. 2015;21:2311–9.
34
Jenkins D, Kendall C, McKeown-Eyssen G, Josse R, Silverberg J, Booth G, et al. Effect of a low-glycemic index or a high-cereal fiber diet on type 2 diabetes: a randomized trial. JAMA. 2008;300:2742–53.
35
Sievenpiper J and Dworatzek P. Food and dietary pattern-based recommendations: an emerging approach to clinical practice guidelines for nutrition therapy in diabetes. Can J Diabetes. 2013;37:51–7.
36
Azadbakht L, Surkan P, Esmaillzadeh A, and Willett W. The dietary approaches to stop hypertension eating plan affects C-reactive protein, coagulation abnormalities, and hepatic function tests among type 2 diabetic patients. J Nutr. 2011;141:1083–8.
37
Nutrition Evidence Library. A Series of Systematic Reviews on the Relationship between Dietary Patterns and Health Outcomes. Alexandria, VA: United States Department of Agriculture; 2014, p. 501.
38
Khalili H, Håkansson N, Chan S, Chen Y, Lochhead P, Ludvigsson J, et al. Adherence to a Mediterranean diet is associated with a lower risk of later-onset Crohn’s disease: results from two large prospective cohort studies. Gut, 2020;9:1637–44.
39
Li F, Hou L, Chen W, Chen P, Lei C, Wei Q, et al. Associations of dietary patterns with the risk of all-cause, CVD and stroke mortality: a meta-analysis of prospective cohort studies. Br J Nutr. 2015;113:16–24.
40
Scarallo L, Banci E, Pierattini V, and Lionetti P. Crohn’s disease exclusion diet in children with Crohn’s disease: a case series. Curr Med Res Opin. 2021;37:1115–20.
41
Nestle Health Science ModuLife The Link Between Crohn’s Disease & Diet Nestle Health Science. Available from: https://mymodulife.com/ (accessed on 24 June 2020).
42
Levine A, Sigall Boneh R, and Wine E. Evolving role of diet in the pathogenesis and treatment of inflammatory bowel diseases. Gut, 2018;67:1726–738.
43
Svolos V, Hansen R, Nichols B, Quince C, Ijaz U, Papadopoulou R, et al. Treatment of active Crohn’s disease with an ordinary food-based diet that replicates exclusive enteral nutrition. Gastroenterology, 2019;156:1354–67.
44
Jones C, Connors J, Dunn K, Bielawski J, Comeau A, Langille M, et al. Bacterial taxa and functions are predictive of sustained remission following exclusive enteral nutrition in pediatric Crohn’s disease. Inflamm Bowel Dis. 2020;26:1026–37.
45
Connors J, Dunn K, Allott J, Bandsma R, Rashid M, Otley A, et al. The relationship between fecal bile acids and microbiome community structure in pediatric Crohn’s disease. ISME J. 2020;14:702–13.
46
NutritionQuest Assessment and Analysis Services [cited 15 September 2017]. Available from: https://nutritionquest.com/assessment/list-of-questionnaires-and-screeners/.
47
McCullough M, Feskanich D, Stampfer M, Giovannucci E, Rimm E, Hu F, et al. Diet quality and major chronic disease risk in men and women: moving toward improved dietary guidance. Am J Clin Nutr. 2002;76:1261–71.
48
Belin R, Greenland P, Allison M, Martin L, Shikany J, Larson J, et al. Diet quality and the risk of cardiovascular disease: the Women’s Health Initiative (WHI). Am J Clin Nutr. 2011;94:49–57.
49
Chiuve S, Fung T, Rimm E, Hu F, McCullough M, Wang M, et al. Alternative dietary indices both strongly predict risk of chronic disease. J Nutr. 2012;142:1009–18.
50
Fung T, McCullough M, van Dam R, and Hu F. A prospective study of overall diet quality and risk of type 2 diabetes in women. Diabetes Care. 2007;30:1753–7.
51
Health Canada Eating Well with Canada’s Food Guide 2007 [cited 28 June 2020]. Available from: https://www.canada.ca/en/health-canada/services/food-nutrition/reports-publications/eating-well-canada-food-guide-2007-development-food-intake-pattern.html.
52
Hu F, Rimm E, Smith-Warner S, Feskanich D, Stampfer M, Ascherio A, et al. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr. 1999;69:243–9.
53
Hu F, Rimm E, Stampfer M, Ascherio A, Spiegelman D, and Willett W. Prospective study of major dietary patterns and risk of coronary heart disease in men. Am J Clin Nutr. 2000;72:912–21.
54
Nova Scotia Department of Education and Nova Scotia Department of Health Promotion and Protection. Food and Beverage Standards for Nova Scotia Public Schools; Nova Scotia, CA, 2006. [cited 20 June 2023] Available from: https://www.ednet.ns.ca/docs/foodnutritionfoodbeveragestandard.pdf.
55
Wadsworth L, McHugh T, Thompson A, Campagna P, Durant M, Murphy R, et al. Dietary intake of Nova Scotia youth in grades 7 and 11. Can J Diet Pract Res. 2012;73:14–20.
56
Garriguet D. Canadians’ eating habits. Health Rep. 2007;18:17–32.
57
Health Canada The Development and Use of a Surveillance Tool: The Classification of Foods in the Canadian Nutrient File According to Eating Well with Canada’s Food Guide; Ottawa (Cad), 2014. [cited 20 June 2023] Available from: https://publications.gc.ca/collections/collection_2014/sc-hc/H164-158-2-2014-eng.pdf.
58
Hosseini S, Papanikolaou Y, Isalm N, Rashmi P, Shamloo A, and Vatanparast H. Consumption patterns of grain-based foods among children and adolescents in Canada: evidence from Canadian Community Health Survey-Nutrition 2015. Nutrients, 2019;11:623.
59
Jessri M, Nishi M, and L’Abbe M. Assessing the nutritional quality of diets of Canadian Children and Adolescents using the 2014 Health Canada Surveillance Tool Tier System. BMC Public Health. 2016;16:381.
60
Tsiountsioura M, Wong J, Upton J, McIntyre K, Dimakou D, Buchanan E, et al. Detailed assessment of nutritional status and eating patterns in children with gastrointestinal diseases attending an outpatients clinic and contemporary healthy controls. Eur J Clin Nutr. 2014;68:700–6.
61
Maconi G, Ardizzone S, Cucino C, Bezzio C, Russo A, and Bianchi Porro G. Pre-illness changes in dietary habits and diet as a risk factor for inflammatory bowel disease: a case-control study. World J Gastroenterol. 2010;16:4297–307.
62
Satherley R, Howard R, and Higgs S. Disordered eating practices in gastrointestinal disorders. Appetite, 2015;84:240–50.
63
MacLellan A, Connors J, MacIntyre B, Douglas G, Dunn K, Bielawski J, et al. Fibre intake is associated with microbiome changes in pediatric Crohn’s disease patients following remission induction with exclusive enteral nutrition. J Crohns Colitis. 2017;11:477.
64
Ruemmele F, Veres G, Kolho K, Griffiths A, Levine A, Escher J, et al. Consensus guidelines of ECCO/ESPGHAN on the medical management of pediatric Crohn’s disease. J Crohns Colitis. 2014;8:1179–207.
65
Kim H, Song H, Han H, Kim K, and Kim M. Translation and validation of the dietary approaches to stop hypertension for Koreans intervention: culturally tailored dietary guidelines for Korean Americans with high blood pressure. J Cardiovasc Nurs. 2013;28:514–23.
66
Grant S, Noseworthy R, Thompson A, Seider M, O’Connor D, Josse R, et al. The effect of low glycaemic index education on satisfaction, knowledge, behaviour, and glycaemic control in women with gestational diabetes. Can. J. Diabetes. 2017;41:S18.
67
Mai J, Pilcher R, and Frommelt-Kuhle M. Fostering interprofessional collaboration and critical thinking between nursing and physical therapy students using high-fidelity simulation. J Interprofess Educ Pract. 2018;10:37–40.
68
Miles A, Friary P, Jackson B, Sekula J, and Braahuis A. Simulation-based dysphagia training: teaching interprofessional clinical reasoning in a hospital environment. Dysphagia, 2016;31:407–15.
69
Johansson L, Solvoll K, Opdahl S, Bjørneboe GE, and Drevon C. Response rates with different distribution methods and reward, and reproducibility of a quantitative food frequency questionnaire. Eur J Clin Nutr. 1997;1997:346–53.
70
Rashid M, Haskett J, Parkinson McGraw L, Noble A, van Limbergen J, and Otley A. Teaching families of children with celiac disease about gluten-free diet using distributed education: a pilot study. Can J Diet Pract Res. 2021;82:38–40.
71
Myhre J, Anderson L, Holvik K, Astup H, and Kristiansen A. Means of increasing response rates in a Norwegian dietary survey among infants – results from a pseudo-randomized pilot study. BMC Med Res Methodol. 2019;19:9.
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Published In
Canadian Journal of Dietetic Practice and Research
Volume 85 • Number 3 • September 2024
Pages: 161 - 168
Editor: Naomi Cahill
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Version of record online: 18 April 2024
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© 2024.
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AntoniaHarveyPDt, MScAHN, JessicaMannetteMA, RotemSigall-BonehRD, MSc, BradMacintyreBScH, MatthewParrottPhD, LeahCahillRD/PDt, PhD, JessicaConnorsPhD, AnthonyOtleyMD, MSc, JenniferHaskettPDt, BSNH, Johanvan LimbergenMD, PhD, and ShannanGrantPDt, MSc, PhD. 2024. Co-Development of Three Dietary Indices to Facilitate Dietary Intake Assessment of Pediatric Crohn’s Disease Patients. Canadian Journal of Dietetic Practice and Research.
85(3): 161-168. https://doi.org/10.3148/cjdpr-2024-005
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