Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-23T07:15:29.309Z Has data issue: false hasContentIssue false

Usual dietary fibre intake according to diabetes status in USA adults – NHANES 2013–2018

Published online by Cambridge University Press:  11 January 2023

Derek C. Miketinas*
Affiliation:
Department of Nutrition and Food Sciences, Texas Woman’s University, Houston, TX, USA
Wesley J. Tucker
Affiliation:
Department of Nutrition and Food Sciences, Texas Woman’s University, Houston, TX, USA Institute for Women’s Health, Texas Woman’s University, Houston, TX, USA
Crystal C. Douglas
Affiliation:
Department of Nutrition, Metabolism, & Rehabilitation Sciences, The University of Texas Medical Branch, Galveston, TX, USA
Mindy A. Patterson
Affiliation:
Department of Nutrition and Food Sciences, Texas Woman’s University, Houston, TX, USA Institute for Women’s Health, Texas Woman’s University, Houston, TX, USA
*
*Corresponding author: Derek C. Miketinas, email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

It is unknown if fibre intake differs across diabetes status in USA adults and is associated with glycaemic outcomes. This cross-sectional analysis utilised National Health and Nutrition Examination Survey cycles 2013–2018 data to estimate usual total dietary fibre intake in USA adults and across diabetes status (no diabetes, prediabetes and type II diabetes (T2D)). Associations among dietary fibre intake and glycaemic outcomes were also reported across groups. Adults (≥ 19 years) with at least one dietary recall were included. Diabetes status was determined from self-report data and measured HbA1c. Independent samples t tests were used to compare mean (se) intake across sub-populations. 14 640 adults (51·3 % female) with 26·4 % and 17·4 % classified as having prediabetes and T2D, respectively. Adults with T2D reported greater mean (se) dietary fibre intake compared with no T2D for females (9·5 (0·13) v. 8·7 (0·11) g/1000 kcal/d and males (8·5 (0·12) v. 7·7 (0·11) g/1000 kcal/d; P < 0·01)). However, only 4·2 (0·50)% and 8·1 (0·90)% of males and females with T2D, respectively, met the adequate intake for fibre. Fibre intake was associated with lower insulin (β = −0·80, P < 0·01), serum glucose (β = −1·35, P < 0·01) and Homeostatic Model Assessment for Insulin Resistance (β = −0·22, P < 0·01) in adults without diabetes, and no relationships in adults with prediabetes or T2D were found. Although dietary fibre intake was highest among adults with T2D, intake was suboptimal across all groups. In adults without diabetes, dietary fibre intake was associated with improved glycaemic outcomes and insulin resistance; however, these associations were attenuated by anthropometric and lifestyle covariates.

Type
Research Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Nutrition Society

According to recent Centers for Disease Control and Prevention estimates, roughly half (49·3 %) of all USA adults have either type 2 diabetes (T2D) or prediabetes(1) with diagnosed diabetes cases tripling by 2060(Reference Lin, Thompson and Cheng2). Without treatment, complications from diabetes can lead to a multitude of health-related problems such as CVD, kidney failure and limb amputations(1). T2D is a multifactorial disease, caused by a wide range (20–80 %) of genetic and environmental factors(Reference Ali3), including poor dietary intake(Reference Sami, Ansari and Butt4), and physical inactivity(Reference Lee, Shiroma and Lobelo5). In fact, diet and exercise-based lifestyle interventions have been shown to significantly reduce the progression of T2D in adults with overweight/obesity and impaired glucose tolerance(Reference Knowler, Barrett-Connor and Fowler6Reference Li, Zhang and Wang8). Furthermore, the 2022 American Diabetes Association Standards of Medical Care recommend appropriate dietary intake combined with physical activity for diabetes prevention(9). While a one-size-fits-all dietary plan has not been established to prevent (or treat) T2D(Reference Evert, Dennison and Gardner10), individuals with or at risk for developing T2D should consume the recommended amount, or adequate intake (AI; 14 g/1000 kcal/d, or 25 g/d for women and 38 g/d for men) for dietary fibre(Reference Lupton, Brooks and Butte11). Although high fibre intake (≥ 50 g/d) has been shown to modestly lower HbA1c, most recommendations are based on dietary fibre’s apparent benefits for coronary heart disease risk reduction(Reference Chamberlain, Johnson and Leal12,Reference Jovanovski, Nguyen and Kurahashi13) .

Dietary fibre is a non-digestible carbohydrate found naturally in plant-based foods such as whole grains, fruits and vegetables, legumes, beans, peas and nuts. Fibre exhibits beneficial health effects that differ according to physiological function (viscosity and fermentability) instead of solubility. Viscous fibres can entrap nutrients, slow digestion, and promote feelings of fullness, which can attenuate postprandial glucose response(Reference Jovanovski, Khayyat and Zurbau14). Metabolites produced in the large intestine from the fermentation of certain fibres have been shown to improve insulin sensitivity(Reference Pedersen, Gudmundsdottir and Nielsen15). In fact, intake of microbiota-accessible fibres can improve glycaemic and cardiometabolic outcomes in adults with T2D(Reference Xu, Fu and Qiao16).

Several prospective and cross-sectional studies indicated that adequate dietary fibre intake can reduce the risk of developing T2D. A meta-analysis of observational trials reported that dietary fibre (25–29 g/d) reduced the risk of developing T2D by 16 % and increased dietary fibre intake (> 30 g/d) provided additional protection against CVD, T2D and colorectal and breast cancer(Reference Reynolds, Mann and Cummings17). An inverse, dose–response relationship (RR 0·70) between high-fibre, healthy plant-based food adherence and risk of T2D has also been reported(Reference Lee and Park18). Ultra-processed or ‘highly processed’ foods are altered from their raw state to improve characteristics such as texture or shelf-life and often possess suboptimal nutrient quality, such as low fibre(Reference Monteiro and Astrup19). A recent meta-analysis of observational studies reported a positive relationship (RR 1·74) between ultra-processed food intake and risk of T2D(Reference Moradi, Hojjati Kermani and Bagheri20). These results demonstrate that adequate dietary fibre intake may help in the prevention of T2D. Unfortunately, 95 % of USA adults do not meet the recommendations for dietary fibre with a mean daily fibre intake of 16·2 g/d(21).

While dietary fibre appears to have a linear, dose-dependent response on diabetes risk and consuming higher amounts can improve diabetes-related outcomes, the amount of fibre consumed by USA adults with prediabetes and T2D remains unexplored. Here, we estimated the usual intake of dietary fibre (without supplements) using data from the National Health and Nutrition Examination Survey (NHANES) cycles 2013–2018 across diabetes status: no diabetes, prediabetes or T2D. We hypothesised that there would be no differences in dietary fibre intake across groups. We also assessed the association between dietary fibre intake (g/d) and glycaemic outcomes. We hypothesised that there would be modest associations among dietary fibre intake and some glycaemic markers across diabetes groups.

Methods

Study design

This secondary analysis of the NHANES data included survey cycles from 2013 to 2018. The NHANES utilises a complex, multi-stage probability sampling design that provides a nationally representative sample of the non-institutionalised USA population. NHANES personnel collected data first from an in-home interview followed by a visit to the mobile examination centre in which dietary and laboratory measurements were collected. Details of the survey design and protocol are available online(22,23) .

Subjects

Inclusion criteria for this analysis were non-pregnant adults (≥ 19 years) with at least one reliable 24-h dietary recall for the NHANES 2013–2018. Pregnancy status was determined from self-reported pregnancy status or a positive urinary pregnancy test. Respondents were grouped by diabetes category (no diabetes, prediabetes or T2D). The T2D and prediabetes groups were identified by either a self-reported physician diagnosis or having a HbA1c ≥ 6·5 % or a HgA1c between 5·7 and 6·4 %, respectively. Demographics including gender, age, race/ethnicity, family income:poverty ratio and educational attainment were collected.

Smoking status was defined as current, former and never cigarette smokers based on the two variables SMQ020 and SMQ040. Alcohol consumption categories were classified as none, moderate and excessive intake based on reported intake of no alcohol consumption, 1–2 drinks per day for women (1–3 drinks per day for men) and 3 or more drinks per day for women (four or more drinks per day for men) over the past 12 months.

Diabetes medication use and statin medication use were determined from responses to the prescription medications questionnaire. Use for either class of medication was determined by reported consumption of a medication based on the ICD-10-CM codes for each medication.

Dietary assessment

A trained dietary interviewer administered a 24-h dietary recall using the automated multiple pass method during the mobile examination centre visit(Reference Blanton, Moshfegh and Baer24,Reference Moshfegh, Rhodes and Baer25) . Following the MEC visit, a second dietary recall via telephone was collected 3–11 d later. Dietary fibre intake was described as g/d and g/1000 kcal/d. Dietary fibre intake from supplements was not considered in this analysis.

Laboratory measures

HbA1c (%) was measured using the Tosoh G8 glycohemoglobin analyzer using whole blood. Serum glucose (mg/dl) was measured using the hexokinase enzymatic method on a Roche/Hitachi Cobas C Chemistry Analyzer-C311. A subsample of respondents was asked to fast for 9 h, including those with T2D, to provide fasting measurements for insulin and plasma glucose. Fasting plasma glucose (mg/dl) was also measured using the hexokinase enzymatic method. Fasting insulin (uU/ml) was measured using the Tosoh AIA-PACK IRI, a two-site immunoenzymometric assay. Homeostatic Model Assessment for Insulin Resistance was calculated using the following equation: (insulin (uU/ml) × glucose (mmol/l))/22·5. HOMA-%B was calculated using the following equation: (20 × insulin (uU/ml))/(glucose (mmol/l)–3·5).

Statistical analyses

All analyses were conducted using SAS software version 9·4 (SAS Institute Inc.). The appropriate sample weights were used to account for the complex sampling design. Differences in continuous and categorical variables were tested using independent samples t tests and Rao-Scott χ 2 tests, respectively. A P-value < 0·01 was considered statistically significant.

The National Cancer Institute (NCI) method (amount only model) was used to assess usual intake for dietary fibre across subgroups of interest(Reference Tooze, Kipnis and Buckman26). In short, the NCI method involves a two-part model using the MIXTRAN and DISTRIB macros created by the NCI. First, it assesses the probability of consumption on a given day while controlling for covariates. Second, it assesses the amount of food on the consumption day(s) on a transformed scale while controlling for covariates (e.g. dietary recall sequence, weekend recall, etc.). Usual intake is the probability of consumption multiplied by the amount consumed. Next, the BRR_PVALUE_CI macro is employed to calculate standard error using Balanced Repeated Replication variance estimation. For nutrients consumed daily, part 1 is not necessary for analysis; this is called the amount-only model.

To test for the relationship between dietary fibre intake and glycaemic outcomes, we used regression models calibrated for measurement error using the NCI method(Reference Kipnis, Midthune and Buckman27). We ran the models separately for each subgroup of interest (no diabetes, prediabetes and T2D). For each outcome, we ran three models with varying levels of covariates:

Model 1: Age, race/ethnicity, gender, education, family income:poverty ratio, statin use, survey cycle

Model 2: Model 1 covariates + BMI, waist circumference, hypertension

Model 3: Model 2 covariates + smoking status, physical activity and alcohol use

For those with T2D, age at diabetes diagnosis and diabetes medication use were included as covariates for all models. We described the effect of dietary fibre intake on glycaemic outcomes as the slope of the regression (β) and as the differences in the glycaemic outcomes between the 75th and 25th percentile of dietary fibre consumption.

Results

Sample population

Characteristics of the sample can be found in Table 1. The sample size included 14 640 USA adults (51·3 % female), mostly non-Hispanic white (> 58 % for each category) with a mean age of 43·3 (0·3) years, 54·6 (0·4) years, 59·9 (0·4) years in the no diabetes, prediabetes and T2D groups, respectively. Adults with T2D were less likely to be college graduates, have a lower income-to-poverty ratio, more likely to have obesity, have a higher waist circumference, be a former smoker and less likely to consume alcohol compared with adults with no diabetes and prediabetes.

Table 1. Characteristics of USA adults stratified across diabetes categories

T2D, type 2 diabetes; GED, General Educational Development.

Values are mean (se) from individuals with at least one day of reliable intake data from NHANES 2013–2018. Diabetes category was determined through either self-report of physician diagnosis or HbA1c values. Similar symbols indicate significant differences. aGroups were compared using independent samples t tests and Rao-Scott χ 2 tests for continuous and categorical variables, respectively. Pairwise differences in continuous variables are indicated by different capital letters.

bThe proportions do not sum to 100 % given that the ‘Other’ race/ethnicity category is not represented.

cModerate and excessive alcohol consumption for women was defined as consuming 1–2 drinks/d and 3 or more drinks/d, respectively, and 1–3 drinks/d and 4 or more drinks/d for men, respectively.

More than half of the sample were classified as having no diabetes (56·2 %), while 26·4 % had prediabetes and 17·4 % had T2D. The prevalence of T2D increased among the age groups. For example, for adults with T2D, 93·7 % were 40 years and older. In the prediabetes category, 44·0 % were ≥60 years, 37·9 % were 40–59 years and 18·1 % were 20–39 years of age. On the contrary, most adults with no diabetes (78·2 %) were less than 60 years.

Usual daily total fibre intake in all adults and by sex

The usual daily total fibre intake overall and by sex can be found in Table 2. Overall, the mean fibre intake was 8·4 g/1000 kcal/d with only 4·0 % of USA adults meeting the AI for dietary fibre. Adult females had higher fibre intake (8·8 g/1000 kcal/d) than males (7·9 g/1000 kcal/d; P < 0·001) with only 5·3 % of females and 2·6 % of males meeting the AI.

Table 2. Usual daily total fibre intake in USA adults

AI, adequate intake.

Values are mean (se) from individuals with at least one day of reliable intake data from NHANES 2013–2018. Total dietary fibre does not include fibre supplements.

* P < 0·001 between-sex groups.

Usual daily total fibre intake across sex, age and diabetes category

In contrast to our hypothesis, adults with T2D had the highest dietary fibre intake (9·5 g/1000 kcal/d for females; 8·5 g/1000 kcal/d for males) compared with those with no diabetes and prediabetes (P < 0·01 across diabetes category within sex group) as shown in Table 3. Although adults with T2D had the highest dietary fibre intake, only 8·1 % of females and 4·2 % of males met the AI for dietary fibre. Adults with prediabetes had the second highest dietary fibre intake (8·8 g and 7·9 g/1000 kcal/d for females and males, respectively); only 5·3 % of females and 2·5 % of males with prediabetes met the AI. The lowest dietary fibre intake was reported among adults with no diabetes (8·7 g and 7·7 g/1000 kcal/d for females and males, respectively) and only 4·8 % of females and 2·3 % of males met the AI.

Table 3. Usual daily total fibre intake in USA adults across sex and diabetes category

AI, adequate intake; T2D, type 2 diabetes.

Values are mean (se) from individuals with at least one day of reliable intake data from NHANES 2013–2018. Total dietary fibre does not include fibre supplements. Similar symbols indicate P < 0·01 across diabetes category within the same-sex group.

Dietary fibre intake differed with age across diabetes categories and within the same sex. Older adults (≥ 60 years) reported the highest dietary fibre intake across each diabetes category within the same sex (P < 0·01; Table 4). The fibre intake for older adults ranged from 9·3–9·8 g/1000 kcal/d for females to 8·5–8·9 g/1000 kcal/d for males. Dietary fibre intake ranged 8·4–9·1 g/1000 kcal/d for females and 7·7–8·1 g/1000 kcal/d for males between 40 and 59 y. Adults 20–39 years had fibre intake that ranged between 8·2–8·6 g/1000 kcal/d for females and 7·3–7·7 g/1000 kcal/d for males.

Table 4. Usual daily total fibre intake in USA adults by sex, diabetes and age categories

AI, adequate intake; T2D, type 2 diabetes.

Values are mean (se) from individuals with at least one day of reliable intake data from NHANES 2013–2018. Total fibre does not include supplements. Similar symbols indicate P < 0·01 across age groups within the same diabetes and sex category.

Association between usual daily total fibre intake and glycaemic outcomes across diabetes category

Dietary fibre intake was associated with lower fasting insulin (β = −0·80, P < 0·01), fasting glucose (β = −1·35, P < 0·01) and Homeostatic Model Assessment for Insulin Resistance (β = −26·96, P < 0·01) in adults with no diabetes (Table 5). These associations were only found in Model 1. No associations between glycaemic outcomes and dietary fibre intake were observed in adults with prediabetes or T2D.

Table 5. Association between dietary fibre intake (g/d) and glycaemic outcomes in USA adults across diabetes category

B, regression coefficient; DIFF, difference in outcome of interest between the 25th and 75th percentile of fibre intake; HOMA-IR, Homeostatic Model Assessment for Insulin Resistance; HOMA-β, Homeostasis Model Assessment of β-cell Function; LCLM, lower confidence limit for the mean; T2D, type 2 diabetes; UCLM, upper confidence limit for the mean.

Linear regression was used to identify relationships among fibre intake and glycaemic outcomes. Dietary fibre did not include fibre from supplements.

Age at diabetes diagnosis and diabetes medication use were included as covariates for all three models for those with T2D only.

* Model 1 covariates: statin use, age, race/ethnicity, gender, education, income:poverty ratio and survey cycle.

Model 2 covariates: model 1 covariates plus BMI, waist circumference and hypertension diagnosis.

Model 3 covariates: model 2 covariates plus smoking status, physical activity and alcohol use.

Discussion

We examined data from the NHANES cycles 2013–2018 to estimate usual total dietary fibre intake among USA adults according to diabetes category. Current study findings are concerning as overall dietary fibre intake was well below recommendations across all diabetes categories. Although dietary fibre intake was highest among adults with T2D and lowest in adults with no diabetes, no group met the current AI recommendation of 14 kcal/1000 g/d. In addition, no relationship was observed between dietary fibre intake and glycaemic outcomes in adults with prediabetes and T2D, possibly due to inadequate intake. In contrast, lower fasting glucose and insulin concentrations were associated with higher dietary fibre intake in adults with no diabetes.

The characteristics of adults with T2D in our sample are similar to other reports. Here, we show that adults with T2D are older, less likely to be a college graduate, have a lower income-to-poverty ratio and have higher rates of obesity. Data from the Centers for Disease Control and Prevention exhibit 26·8 % of adults ≥ 65 years have T2D compared with 17·5 % of 45–65 years and 4·2 % of 18–44 years(28). Low socio-economic status, assessed here using education attainment and income:poverty ratio, is associated with T2D. In the same Centers for Disease Control and Prevention report, adults with a lower income:poverty ratio of < 100 % (14·1 %) and less than high school education (13·3 %) were more likely to have a T2D diagnosis(28). Both variables are indicators of socio-economic status. In addition, 89·0 % of adults with T2D had a BMI ≥ 25 kg/m2 and were more likely to be a former smoker (36·4 %),(28) which is similar to our sample where 89·0 % were overweight or obese and 35·0 % were former smokers.

The low intake of fibre reported among this sample is not surprising. According to earlier NHANES data (2009–2010), the USA population consumes an average of 16·2 g of fibre per day(21). After controlling for energy, fibre density by sex was similarly low (8–10 g/1000 kcal/d for females and 7–9 g/1000 kcal/d for males)(21). We observed similar results where dietary fibre intake ranged from 8·7–9·5 g/1000 kcal/d in females to 7·7–8·5 g/1000 kcal/d for males across diabetes categories. Clear associations between low intake of fibre-rich foods such as fruits, vegetables, and whole grains and poor overall diet quality have been well established as indicated by the 2015-Healthy Eating Index score of 57·7 out of 100(Reference Shan, Rehm and Rogers29). In addition, our results found that older adults (> 60 years) consume more fibre than the other age groups. Similarly, others have shown increased dietary fibre and improved diet quality (Healthy Eating Index score of 64) among ≥ 70 years old adults compared with the youngest age group (Healthy Eating Index score of 53)(30). Shifts in dietary patterns that include higher quality nutrient-dense foods may partially explain why older adults consume the most fibre.

Despite numerous accounts of dietary fibre’s health benefits, overall intake among this USA sample was suboptimal. It is unclear why dietary fibre intake is so poor, but plausible explanations include inadequate knowledge of fibre-rich foods, high processed food intake, limited financial resources or following diet trends or fads that are known to be low in fibre such as low-carbohydrate or ketogenic diets(Reference Quagliani and Felt-Gunderson31,Reference Storz and Ronco32) . We also found that adults with T2D diagnosis reported the greatest fibre intake. While this finding is contrary to our hypothesis, it is possible that a chronic disease diagnosis prompts dietary change. Stretliz et al. reported that following T2D diagnosis, adults make healthy dietary changes including decreasing energy and fat intake and increasing dietary fibre intake(Reference Strelitz, Ahern and Long33). In addition, a recent study found that adults diagnosed with T2D consumed more higher quality carbohydrates, plant and animal proteins, unsaturated fatty acids and less low-quality carbohydrates than those with undiagnosed diabetes(Reference Yin, Huang and Liu34). Diabetes prevention and management strategies highlight behavioural changes necessary to prevent or delay T2D. In fact, the National Diabetes Prevention Program, a Center for Disease Control and Prevention-led lifestyle change program, promotes eating well and instructs participants on increasing dietary fibre and making food selections based on dietary fibre content(35).

Contrary to earlier reports and our hypothesis, we did not discern a relationship between dietary fibre and glycaemic outcomes in adults with prediabetes or T2D. It is plausible that this absence of a relationship is due to low dietary fibre intake in our population. Other studies have reported associations with glycaemic outcomes when dietary fibre intake is met or exceeded. For example, in normal weight adult males with T2D who consumed 65 g plant fibre/d for 2 weeks had reduced or eliminated insulin requirements, and most had decreased fasting and postprandial glucose concentrations, compared with a control diet(Reference Anderson and Ward36). Another study found that adults with T2D consuming a high fibre (36·3 g/d) vegan diet decreased HbA1c concentrations and body weight more than those randomised to a standard American Diabetes Association diet providing 19·0 g dietary fibre/d at 22 weeks(Reference Barnard, Cohen and Jenkins37). In addition, 43 % of participants in the vegan diet group had reduced reliance on glucose-lowering medications compared with 26 % in the American Diabetes Association group(Reference Barnard, Cohen and Jenkins37). These studies included dietary fibre that met or exceeded the current recommendations, as well as the average amounts observed in this analysis, may have led to major improvements in glycaemic outcomes.

Associations among dietary fibre, diabetes status and glycaemic outcomes have been explored in other countries. Finnish adults without diabetes who consumed greater dietary fibre intake (> 15·55 g/d) had a reduced risk for diabetes development following a Diabetes Prevention Program compared with those with lower fibre intake (< 10·85 g/d)(Reference Lindström, Peltonen and Eriksson38). Chinese adults who consumed ≥ 7·2 g fibre/d had no change in HbA1c,(Reference Fu, Xu and Ni39) and Italian adults with and without diabetes consumed similar amounts of fibre albeit intake was below recommendations(Reference Guastadisegni, Donfrancesco and Palmieri40). Still, dietary fibre intake outside the USA is suboptimal, but higher intake has been associated with a reduced risk of developing diabetes in some studies.

This study has several strengths. We estimated usual total dietary fibre, the long-term evaluation of daily intake, according to the NCI method. The validity of the NCI method has been previously recognised as a tool to mitigate the effects of measurement error to provide unbiased estimates of usual intake(Reference Tooze, Kipnis and Buckman26). Our sample consisted of a large, representative group of USA adults. Also, diabetes category was determined using data from the personal interview as well as biomarkers. The inclusion of blood biomarkers enabled us to assess for relationships between dietary fibre intake and glycaemic outcomes.

The NHANES is an established and on-going nationally represented dataset, but limitations for secondary data analysis exist and must be acknowledged. The dietary analyses do not include fibre supplements, and as such, outcomes may not be representative of usual intake. Fibre supplements are an isolated fibre source that can conveniently promote increased fibre intake. One meta-analysis did show improved glycaemic outcomes in adults with T2D after consuming a soluble fibre supplement(Reference Xie, Gou and Peng41), and perhaps including fibre supplements along with dietary fibre intake would have elicited different glycaemic outcomes. Fibre viscosity and fermentability, which possess unique physiological effects, were not distinguished and limit our understanding on fibre classification and glycaemic outcomes(Reference McRorie42). Though trained interviewers collect the 24-h diet recall using the automated multiple pass method(Reference Blanton, Moshfegh and Baer24,Reference Moshfegh, Rhodes and Baer25) , we recognise that the data re self-reported and prone to recall bias. Lastly, although we did not find associations among glycaemic outcomes in adults with prediabetes or T2D, adequate dietary fibre has been shown to improve other T2D risk factors, such as elevated blood lipids(Reference Barnard, Cohen and Jenkins37,Reference Chandalia, Garg and Lutjohann43) , overweight and obesity(Reference Allison and Edelstein Sharon44) and incidence of CVD and mortality(Reference Strelitz, Ahern and Long33). These outcomes were not assessed in the present study.

In conclusion, older adults and adults diagnosed with T2D consumed more dietary fibre than adults with no diabetes or prediabetes. However, no group consumed the recommended AI for dietary fibre. Although higher fibre intake was associated with lower fasting glucose and insulin in adults with no diabetes, these associations were not found in adults with prediabetes or T2D, which may be related to suboptimal dietary fibre intake. Moreover, the observed associations were attenuated when BMI, waist circumference and hypertension status were included as covariates. Future studies should focus on glycaemic, as well as CVD risk, outcomes across diabetes status where the AI for fibre is met or exceeded. Given the protective health benefits of dietary fibre, it is imperative that we implement strategies to support increased intake of dietary fibre in the USA diet.

Acknowledgements

None.

No funding to disclose.

Conceptualisation, D. C. M., M. A. P., W. J. T., and C. C. D.; Methodology, D. C. M., M. A. P., W. J. T., and C. C. D.; Formal Analysis, D. C. M.; Writing- Original Draft Preparation, M. A. P.; Writing - Review & Editing, M. A. P., D. C. M., W. J. T., and C. C. D. All authors read and approved the final version of the manuscript.

There are no conflicts of interest.

References

Centers for Disease Control and Prevention (2022) National Diabetes Statistics Report (Internet). https://www.cdc.gov/diabetes/data/statistics-report/index.html (accessed July 2022).Google Scholar
Lin, J, Thompson, TJ, Cheng, YJ, et al. (2018) Projection of the future diabetes burden in the United States through 2060. Popul Health Metric 16, 19.CrossRefGoogle ScholarPubMed
Ali, O (2013) Genetics of type 2 diabetes. World J Diabetes 4, 114.CrossRefGoogle ScholarPubMed
Sami, W, Ansari, T, Butt, NS, et al. (2017) Effect of diet on type 2 diabetes mellitus: a review. Int J Health Sci 11, 65.Google ScholarPubMed
Lee, IM, Shiroma, EJ, Lobelo, F, et al. (2012) Lancet Physical Activity Series Working Group. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 380, 219229.Google Scholar
Knowler, WC, Barrett-Connor, E, Fowler, SE, et al. (2002) Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. NEJM 346, 393403.Google ScholarPubMed
Lindstrom, J, Louheranta, A, Mannelin, M, et al. (2003) Finnish Diabetes Prevention Study Group. The Finnish Diabetes Prevention Study (DPS) lifestyle intervention and 3-year results on diet and physical activity. Diabetes Care 26, 32303236.Google Scholar
Li, G, Zhang, P, Wang, J, et al. (2008) The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study. Lancet 371, 17831789.CrossRefGoogle Scholar
American Diabetes Association Professional Practice Committee & American Diabetes Association Professional Practice Committee (2022) 3. Prevention or delay of type 2 diabetes and associated comorbidities: standards of medical care in diabetes—2022. Diabetes Care 45, S39S45.Google Scholar
Evert, AB, Dennison, M, Gardner, CD, et al. (2019) Nutrition therapy for adults with diabetes or prediabetes: a consensus report. Diabetes Care 42, 731754.CrossRefGoogle ScholarPubMed
Lupton, JR, Brooks, J, Butte, NF, et al. (2002) Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids, vol 5. Washington, DC: National Academy Press. pp. 589768.Google Scholar
Chamberlain, JJ, Johnson, EL, Leal, S, et al. (2018) Cardiovascular disease and risk management: review of the American diabetes association standards of medical care in diabetes 2018. Ann Intern Med 168, 640650.CrossRefGoogle Scholar
Jovanovski, E, Nguyen, M, Kurahashi, Y, et al. (2022) Are all fibres created equal with respect to lipid lowering? Comparing the effect of viscous dietary fibre to non-viscous fibre from cereal sources: a systematic review and meta-analysis of randomised controlled trials. Br J Nutr 5, 113.Google Scholar
Jovanovski, E, Khayyat, R, Zurbau, A, et al. (2019) Should viscous fiber supplements be considered in diabetes control? Results from a systematic review and meta-analysis of randomized controlled trials. Diabetes Care 42, 755766.CrossRefGoogle ScholarPubMed
Pedersen, HK, Gudmundsdottir, V, Nielsen, HB, et al. (2016) Human gut microbes impact host serum metabolome and insulin sensitivity. Nature 535, 376381.CrossRefGoogle ScholarPubMed
Xu, B, Fu, J, Qiao, Y, et al. (2021) Higher intake of microbiota-accessible carbohydrates and improved cardiometabolic risk factors: a meta-analysis and umbrella review of dietary management in patients with type 2 diabetes. Am J Clin Nutr 113, 15151530.CrossRefGoogle ScholarPubMed
Reynolds, A, Mann, J, Cummings, J, et al. (2019) Carbohydrate quality and human health: a series of systematic reviews and meta-analyses. Lancet 393, 434445.CrossRefGoogle Scholar
Lee, Y & Park, K (2017) Adherence to a vegetarian diet and diabetes risk: a systematic review and meta-analysis of observational studies. Nutrients 9, 603.CrossRefGoogle Scholar
Monteiro, CA & Astrup, A (2022) Does the concept of ‘ultra-processed foods’ help inform dietary guidelines, beyond conventional classification systems? YES. Am J Clin Nutr 116, 14761481.CrossRefGoogle ScholarPubMed
Moradi, S, Hojjati Kermani, MA, Bagheri, R, et al. (2021) Ultra-processed food consumption and adult diabetes risk: a systematic review and dose-response meta-analysis. Nutrients 13, 4410.CrossRefGoogle Scholar
US Department of Agriculture ARS What We Eat in America: Nutrient Intakes from Food by Gender and Age. National Health and Nutrition Examination Survey (NHANES) 2009–2010. https://www.ars.usda.gov/ARSUserFiles/80400530/pdf/0910/tables_1-40_2009-2010.pdf (accessed July 2022).Google Scholar
Centers for Disease Control and Prevention (2017) NCHS NHANES 2017–2018 Procedure Manuals (Internet). https://wwwn.cdc.gov/nchs/nhanes/continuousnhanes/manuals.aspx?BeginYear=2017 (accessed February 2021).Google Scholar
Centers for Disease Control and Prevention (2018) NCHS NHANES Survey Methods and Analytic Guidelines (Internet). https://wwwn.cdc.gov/nchs/nhanes/analyticguidelines.aspx#analytic-guidelines (accessed February 2021).Google Scholar
Blanton, CA, Moshfegh, AJ, Baer, DJ, et al. (2006) The USDA Automated Multiple-Pass Method accurately estimates group total energy and nutrient intake. J Nutr 136, 25942599.Google ScholarPubMed
Moshfegh, AJ, Rhodes, DG, Baer, DJ, et al. (2008) The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. Am J Clin Nutr 88, 324332.CrossRefGoogle ScholarPubMed
Tooze, JA, Kipnis, V, Buckman, DW, et al. (2010) A mixed-effects model approach for estimating the distribution of usual intake of nutrients: the NCI method. Stat Med 29, 28572868.CrossRefGoogle ScholarPubMed
Kipnis, V, Midthune, D, Buckman, DW, et al. (2009) Modeling data with excess zeros and measurement error: application to evaluating relationships between episodically consumed foods and health outcomes. Biom 65, 10031010.CrossRefGoogle ScholarPubMed
Centers for Disease Control and Prevention (2020) National Diabetes Statistics Report: Estimates of Diabetes and its Burden in the United States, 2020. Atlanta, GA: US Department of Health and Human Services.Google Scholar
Shan, Z, Rehm, CD, Rogers, G, et al. (2019) Trends in dietary carbohydrate, protein, and fat intake and diet quality among US adults, 1999–2016. JAMA 322, 11781187.CrossRefGoogle ScholarPubMed
US Department of Agriculture ARS What We Eat in America: Nutrient intakes from Food by Gender and Age. National Health and Nutrition Examination Survey (NHANES) 2017–2018. https://www.ars.usda.gov/ARSUserFiles/80400530/pdf/1718/Table_1_NIN_GEN_17.pdf (accessed July 2022).Google Scholar
Quagliani, D & Felt-Gunderson, P (2017) Closing America’s fiber intake gap: communication strategies from a food and fiber summit. Am J Lifestyle Med 11, 8085.Google ScholarPubMed
Storz, MA & Ronco, AL (2022) Nutrient intake in low-carbohydrate diets in comparison to the 2020–2025 Dietary Guidelines for Americans: a cross-sectional study. Br J Nutr 22, 114.Google Scholar
Strelitz, J, Ahern, AL, Long, GH, et al. (2019) Changes in behaviors after diagnosis of type 2 diabetes and 10-year incidence of cardiovascular disease and mortality. Cardiovasc Diabetol 18, 12.CrossRefGoogle ScholarPubMed
Yin, J, Huang, Y, Liu, G, et al. (2022) Trends in dietary macronutrient composition and diet quality among US adults with diagnosed and undiagnosed elevated glycemic status: a serial cross-sectional study. Am J Clin Nutr 115, 16021611.Google ScholarPubMed
Cdc.gov. (2021) Curricula and Handouts (Internet). https://www.cdc.gov/diabetes/prevention/resources/curriculum.html (accessed July 2022).Google Scholar
Anderson, JW & Ward, K (1979) High-carbohydrate, high-fiber diets for insulin-treated men with diabetes mellitus. Am J Clin Nutr 32, 23122321.Google ScholarPubMed
Barnard, ND, Cohen, J, Jenkins, DJ, et al. (2006) A low-fat vegan diet improves glycemic control and cardiovascular risk factors in a randomized clinical trial in individuals with type 2 diabetes. Diabetes Care 29, 17771783.Google Scholar
Lindström, J, Peltonen, M, Eriksson, JG, et al. (2006) High-fibre, low-fat diet predicts long-term weight loss and decreased type 2 diabetes risk: the Finnish Diabetes Prevention Study. Diabetologia 49, 912920.CrossRefGoogle ScholarPubMed
Fu, J, Xu, K, Ni, X, et al. (2022) Habitual Dietary fiber intake, fecal microbiota, and hemoglobin A1c level in Chinese patients with type 2 diabetes. Nutrients 14, 1003.CrossRefGoogle ScholarPubMed
Guastadisegni, C, Donfrancesco, C, Palmieri, L, et al. (2020) Nutrients intake in individuals with hypertension, dyslipidemia, and diabetes: an Italian survey. Nutrients 12, 923.CrossRefGoogle ScholarPubMed
Xie, Y, Gou, L, Peng, M, et al. (2021) Effects of soluble fiber supplementation on glycemic control in adults with type 2 diabetes mellitus: a systematic review and meta-analysis of randomized controlled trials. Clin Nutr 40, 18001810.Google ScholarPubMed
McRorie, JW Jr (2015) Evidence-based approach to fiber supplements and clinically meaningful health benefits, part 1: what to look for and how to recommend an effective fiber therapy. Nutr Today 50, 82.CrossRefGoogle ScholarPubMed
Chandalia, M, Garg, A, Lutjohann, D, et al. (2000) Beneficial effects of high dietary fiber intake in patients with type 2 diabetes mellitus. N Engl J Med 342, 13921398.CrossRefGoogle ScholarPubMed
Diabetes Prevention Program Research Group Sylvetsky, Allison, C, Edelstein Sharon, L, et al. (2017) A high-carbohydrate, high-fiber, low-fat diet results in weight loss among adults at high risk of type 2 diabetes. J Nutr 147, 20602066.Google Scholar
Figure 0

Table 1. Characteristics of USA adults stratified across diabetes categories

Figure 1

Table 2. Usual daily total fibre intake in USA adults

Figure 2

Table 3. Usual daily total fibre intake in USA adults across sex and diabetes category

Figure 3

Table 4. Usual daily total fibre intake in USA adults by sex, diabetes and age categories

Figure 4

Table 5. Association between dietary fibre intake (g/d) and glycaemic outcomes in USA adults across diabetes category