Association between an anti-inflammatory and anti-oxidant dietary pattern and diabetes in British adults: results from the national diet and nutrition survey rolling programme years 1–4

Dietary patterns related to triglyceride glucose index and risk of type 2 diabetes: a large-scale cohort study

Background

Triglyceride glucose (TyG) index has been proposed as a credible and simple surrogate indicator for insulin resistance. The primary aim of this study was to novelly examine the associations between dietary patterns reflecting variations in circulating TyG index and the risk of type 2 diabetes mellitus (T2DM).

Methods

This study included 120,988 participants from the UK Biobank, all of whom completed multiple 24-h dietary assessments. Dietary pattern scores were derived using reduced-rank regression (RRR) and Least Absolute Shrinkage and Selection Operator (LASSO) regression, based on the TyG index and approximately 80 food groups. The associations between the TyG index, related dietary pattern scores, and T2DM risk were evaluated using Cox regression models.

Results

During a median follow-up period of 11.2 years, 3,585 participants developed T2DM. A higher TyG index was significantly associated with an increased risk of T2DM. The two dietary patterns derived from RRR and LASSO showed a strong correlation (ρ = 0.88, p < 0.001) and shared similar characteristics at higher scores, including greater intakes of margarine, meat, fruit juice, and potatoes, alongside lower intakes of green vegetables, oily fish, yogurt, nuts and seeds, and dried fruits. Corresponding blood profiles, including elevated levels of C-reactive protein and HbA1c, along with reduced levels of HDL-C and docosahexaenoic acid, substantiated the dietary pattern assessments. The adjusted hazard ratios (HRs) for T2DM risk were 1.52 (95% CI: 1.33-1.73, p trend <0.001) and 1.48 (95% CI: 1.30-1.69, p trend <0.001) for dietary patterns derived using RRR and LASSO, respectively, comparing the highest to the lowest quintiles.

Conclusion

The findings suggest that a higher TyG index and specific dietary patterns, characterized by higher intakes of margarine, meat, fruit juice, and potatoes, and lower intakes of green vegetables, oily fish, yogurt, nuts and seeds, and dried fruits, are associated with an increased risk of developing T2DM. These results underscore the potential of dietary modifications targeting these patterns to mitigate T2DM risk.

Dietary Inflammatory Index in relation to Type 2 Diabetes: A Meta-Analysis

BACKGROUND AND AIMS

Epidemiologic studies show a strong association between chronic inflammation and type 2 diabetes (T2D). Diet may also affect the risk of T2D by modulating inflammation. This meta-analysis aimed to assess the relation of dietary inflammatory index (DII) and risk of T2D.

METHODS

PubMed and Scopus were systematically searched from their inception to September 2020 to identify relevant studies. Relative risks, hazard ratios, or odds ratios (OR), with their corresponding 95% confidence intervals (95% CI), were calculated and pooled using a random-effects model.

RESULTS

A total of 48 different studies, with a total sample size of 1,687,424 participants, were eligible to be included in this meta-analysis. In the overall analysis, no significant association was observed between DII and risk of T2D (OR = 1.03, 95% CI: 0.91 to 1.15), with significant evidence for heterogeneity (I 2  = 96.5%, P < 0.001); however, higher DII was identified as being significantly related to increased risk of T2D in high quality studies (OR = 1.58, 95% CI: 1.15 to 2.17). In the stratified analysis by the dietary assessment tool, background disease, and sex of participants, DII showed no significant association with T2D.

CONCLUSIONS

Higher DII might be associated with an increased risk of T2D. Additional well-designed studies are required to confirm this finding.

Associations of Dietary Patterns and Incident Type 2 Diabetes in a Community Population Cohort From Southwest China

Background

The prevalence of type 2 diabetes (T2D) is rising rapidly worldwide, but there are scant empirical data on the association between diet and diabetes in Southwest China.

Methods

In this prospective community-population cohort study from Guizhou Province, China since 2010, 7,023 eligible adults were included. Dietary information was obtained by face-to-face interviews with a semi-quantitative food frequency questionnaire, and dietary patterns were derived by factor analysis. The hazard ratios (HR) and 95% confidence intervals (95% CI) were estimated for the associations between various dietary patterns and incident T2D risk by cox proportional hazard model.

Results

Until 2020, a total of 749 new T2D cases were identified during the average follow-up of 7.05 years and the incidence was 14.75/1,000 person-years. Two main dietary patterns from the food frequency questionnaire were identified by factor analysis, i.e., vegetable-grain pattern and junk food pattern. In the multivariate analysis, 28 and 20% lower risks of T2D were observed at the low intake of junk food pattern (HR: 0.72, 95% CI: 0.61, 0.87) and the high intake of vegetable-grain pattern (HR: 0.80, 95% CI: 0.67, 0.95) after adjustment for potential confounding factors, compared with the medium intake of such patterns, respectively. Positive linear relationships were found between fasting plasma glucose (FPG) at follow-up and its change with junk food pattern, while there were inverse linear associations with vegetable-grain pattern.

Conclusion

Higher adherence to vegetable-grain patterns and lower adherence to junk food patterns significantly lowered T2D incidence among the population in Southwest China. Moving toward a healthier dietary model deserves more attention to develop interventions for the prevention of T2D.

A posteriori dietary patterns and their association with systemic low-grade inflammation in adults: a systematic review and meta-analysis

CONTEXT

A posteriori dietary patterns are promising ways of uncovering potential public health strategies for the prevention of systemic, low-grade, inflammation-related, chronic noncommunicable diseases.

OBJECTIVE

To investigate and summarize the current evidence on the association between a posteriori dietary patterns and systemic, low-grade inflammation in adults.

DATA SOURCES

MEDLINE, EMBASE, Web of Science, and LILACS were searched.

DATA EXTRACTION

Data screening, extraction, and quality assessment were performed independently by 2 investigators. Meta-analysis with random effects was conducted. Differences and similarities between reduced rank regression-derived dietary patterns were assessed.

RESULTS

Healthy dietary patterns are inversely and the Western dietary pattern is positively associated with inflammation (r = -0.13, 95% confidence interval -0.20 to -0.06; and r = 0.11, 95% confidence interval, 0.09-0.12, respectively). Reduced rank regression-derived anti-inflammatory dietary patterns are consistently characterized by high intake of fresh fruits and inflammatory dietary patterns are consistently characterized by high intake of red and processed meat and low intake of vegetables.

CONCLUSION

Favoring the substitution of a Westernized diet for a healthy diet may lower inflammation, which might improve the prevention of some chronic noncommunicable diseases.

Validation and adaptation of the empirical dietary inflammatory pattern across nations: A test case

OBJECTIVE

The empirical dietary inflammatory pattern (EDIP) assesses the inflammatory potential of diet in the US population. The aim of this study was to assess the applicability of the EDIP to a Brazilian population.

METHODS

Data from 19- to 75-y-old participants of two editions of the cross-sectional population-based Health Survey of Sao Paulo (HS-SP) were used to validate the EDIP (n = 269; HS-SP 2008), develop an EDIP adapted to a Sao Paulo population, the EDIP-SP (n = 441; HS-SP 2008), and replicate EDIP-SP results in an independent sample (n = 501; HS-SP 2015). Dietary data was assessed through two 24-h recalls and one validated food frequency questionnaire. Plasma C-reactive protein (CRP), and nine other inflammatory biomarkers were determined. EDIP was tested for its association with the 10 inflammatory biomarkers. For development of the EDIP-SP, 21 food groups and their contributions to plasma CRP levels were modeled using a stepwise multiple linear regression adjusted for age and sex.

RESULTS

The EDIP was not associated with concentrations of inflammatory biomarkers in a Brazilian population. The components of EDIP-SP were processed meats (β = 0.27; P = 0.082), fruits and vegetables (β = -0.12; P = 0.018), and rice and beans (β = -0.27; P = 0.007). EDIP-SP significantly predicted dietary quality (β = -6.1; P < 0.001) and its inflammatory potential was replicated among men (β = 0.36; P = 0.01), but not among women (β = 0.05; P = 0.82).

CONCLUSION

EDIP was adapted to the Sao Paulo population. EDIP-SP, composed of high processed meat intake and low intake of fruits and vegetables, and rice and beans, constitutes an important tool to investigate dietary quality based on its inflammatory potential, in Brazilian populations.

The Dietary Inflammatory Index Is Associated With Diabetes Severity

OBJECTIVE

The Dietary Inflammatory Index (DII) is a recently developed dietary inflammation assessment tool. The current study examined the association between DII and the presence and severity of diabetes in adults age ≥20 years.

RESEARCH DESIGN AND METHODS

Cross-sectional analysis of 4434 adult participants in the National Health and Nutrition Examination Survey (NHANES 2013 to 2014). The DII was calculated based on 24-hour dietary recall data. Linear and logistic regression models were used to estimate the relationship and control for possible confounding factors.

RESULTS

Among 4434 participants, mean age was 49.4 years, mean BMI (body mass index) was 29.3 kg/m², and mean DII (higher is more inflammatory) was 0.65 (range, -3.41 to +9.05). The mean DII scores in participants with and without diabetes were 0.79 and 0.50, respectively (P = .0098). Participants with Hemoglobin A1c (HgbA1c) >9% had higher DII scores than those with 6.5% to 9% HgbA1c (1.37 vs 0.54, P = .0002) and those with <6.5% HgbA1c (1.37 vs 0.50, P < .0001). With 1 point increase in the DII score, odds of having diabetes increased by 13% (95% CI, 1.02 to 1.24). Among the individuals with diabetes, we also observed a significant association between severity of diabetes and DII scores; with 1 point increase in DII score, the odds of having HgbA1c higher than 9% increased by 43% (95% CI, 1.21 to 1.68).

CONCLUSIONS

The DII had a significant association with diabetes and a stronger association when HgbA1c >9%. Further research will help clarify the association between inflammation and diet and the utility of the DII as a tool in risk assessment and management of patients with diabetes.

Dietary Patterns Related to Triglyceride and High-Density Lipoprotein Cholesterol and the Incidence of Type 2 Diabetes in Korean Men and Women

We aimed to examine whether dietary patterns that explain the variation of triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) ratio were associated with the incidence of type 2 diabetes in Korean adults. We included a total of 5097 adults without diabetes at baseline with a mean follow-up of 11.54 years. Usual diet was assessed by a validated food frequency questionnaire, and serum levels of TG and HDL-C were measured at baseline. We derived dietary pattern scores using 41 food groups as predictors and the TG/HDL-C ratio as a response variable in a stepwise linear regression. We calculated the odds ratio (OR) with the 95% confidence interval (CI) of type 2 diabetes according to pattern scores using multivariate logistic regression. A total of 1069 incident cases of type 2 diabetes were identified. A list of foods characterizing the dietary pattern differed by sex. Higher dietary pattern scores were associated with an increased risk of type 2 diabetes; ORs (95% CIs) comparing extreme quintiles were 1.53 (1.12–2.09; p for trend = 0.008) for men and 1.33 (0.95–1.86; p for trend = 0.011) for women. Our study suggests the evidence that dietary patterns associated with low levels of TG/HDL-C ratio may have the potential to reduce the burden of type 2 diabetes.

Sex consideration in diet-biomarker-related indices: a systematic review

OBJECTIVE

An index of biomarkers derived from dietary factors (diet-biomarker-related index) identifies foods and nutrients that encompass physiological potentials and provides scientific evidence for dietary patterns that increase the risk of disease associated with specific biomarkers. Although men and women have different dietary patterns and physiological characteristics, sex is not often considered when investigators develop a diet-biomarker-related index. We aimed to review whether epidemiological studies developed diet-biomarker-related indices in a sex-specific way.

DESIGN

We systematically searched for epidemiological studies that developed diet-biomarker-related indices, including (i) biomarker prediction indices that include dietary factors as explanatory variables and (ii) dietary patterns to explain biomarker variations, in the PubMed and EMBASE databases. We qualitatively reviewed the sex consideration in index development.

RESULTS

We identified seventy-nine studies that developed a diet-biomarker-related index. We found that fifty-four studies included both men and women. Of these fifty-four studies, twenty-nine (53·7 %) did not consider sex, eleven (20·3 %) included sex in the development model, seven (13·0 %) considered sex but did not include sex in the development model, and seven (13·0 %) derived a diet-biomarker-related index for men and women separately. A list of selected dietary factors that explained levels of biomarkers generally differed by sex in the studies that developed a diet-biomarker-related index in a sex-specific way.

CONCLUSIONS

Most studies that included both men and women did not develop the diet-biomarker-related index in a sex-specific way. Further research is needed to identify whether a sex-specific diet-biomarker-related index is more predictive of the disease of interest than an index without sex consideration.

Dietary Pattern and Macronutrients Profile on the Variation of Inflammatory Biomarkers: Scientific Update

It is known that the dietary pattern and macronutrients profile may influence the expression and secretion of inflammatory biomarkers, and the low-grade inflammation is associated with the manifestation of noncommunicable chronic diseases. Therefore, this review aimed to present and discuss the role of dietary patterns and macronutrients on the variation of inflammatory markers related to NCD risk. Scientific evidences within the last five years based on clinical trials, case-controls, cohorts, and cross-sectional studies indicate that normocaloric, carbohydrate-moderated, low-glycemic index, protein-moderated, monounsaturated and polyunsaturated fatty acid-rich, omega-3, and low-saturated fat diets display positive effects on the inflammatory state, both in healthy individuals and in those with cardiovascular risk, although the second group seems to benefit more from changes in the dietary profile.

Dietary Patterns Derived by Reduced Rank Regression Are Inversely Associated with Type 2 Diabetes Risk across 5 Ethnic Groups in the Multiethnic Cohort

Background: Reduced rank regression (RRR) is an approach to identify dietary patterns associated with biochemical markers and risk of type 2 diabetes (T2D). Objective: We aimed to derive dietary patterns associated with adiponectin, leptin, C-reactive protein (CRP), and triglycerides (TGs) and to examine the prospective associations of these patterns with T2D risk in 5 ethnic/racial groups with differences in T2D rates. Methods: The Multiethnic Cohort (MEC) included 215,831 African-American, Japanese-American, Latino, Native Hawaiian, and white adults living in Hawaii and California who completed a validated quantitative food-frequency questionnaire in 1993-1996. T2D status was based on self-report with confirmation by administrative data. Serum CRP and TGs and plasma adiponectin and leptin were measured ∼10 y after baseline in a subset (n = 10,008) of participants. RRR was applied to dietary data and biomarker information of 10,008 MEC participants in the combined population and in each ethnic/racial group. RRR-derived dietary patterns, simplified by removal of foods that were not found to be important, were subsequently evaluated for association with T2D risk in 155,316 cohort members (8687 incident T2D cases diagnosed by 2010) by using Cox proportional hazards regression. Results: Combining ethnic/racial groups, we identified a dietary pattern low in processed and red meat, sugar-sweetened beverages, diet soft drinks, and white rice and high in whole grains, fruit, yellow-orange vegetables, green vegetables, and low-fat dairy that was inversely associated with CRP, TGs, and leptin and positively related to adiponectin. Comparing extreme tertiles, the dietary pattern predicted a 16-28% significantly lower T2D risk in the combined study population and also separately in African Americans, Japanese Americans, Latinos, Native Hawaiians, and whites. Ethnicity-specific derived patterns varied only modestly from the overall pattern and resulted in comparable associations with T2D. Conclusion: This identified dietary pattern may lower T2D risk through its impact on adipokines, by lowering chronic inflammation and dyslipidemia across 5 ethnic/racial groups.