Construct Validation of the Dietary Inflammatory Index among African Americans

Association of the dietary inflammation index with the prevalence of stroke in patients with diabetes

This study aimed to investigate the relationship between the Dietary Inflammatory Index (DII) and stroke prevalence in patients with diabetes. Data were collected from 9,914 diabetic patients who participated in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2020. Weighted multivariable logistic regression models were used to analyze the association between DII and stroke risk in diabetic patients, with restricted cubic spline (RCS) regression employed to test for nonlinear relationships. Subgroup analyses were conducted based on sex, age, race, BMI, smoking, alcohol consumption, hypertension, and coronary heart disease status. After adjusting for confounding factors, individuals in the highest DII quartile had a significantly higher risk of stroke compared to those in the lowest quartile, with an adjusted odds ratio (OR) of 1.78 (95% CI: 1.35,2.36). Additionally, each unit increase in DII was associated with a 13% increase in stroke risk (OR: 1.13, 95% CI: 1.06, 1.20). The RCS curve indicated a linear positive association between DII and stroke risk in diabetic patients. A linear positive association between DII and stroke risk was observed in patients with diabetes. Given the cross-sectional nature of the study, further research is required to establish causality.

Predictive role of the dietary inflammatory index on stroke risk among hypertensive patients

This study aims to evaluate the association between the dietary inflammatory index (DII) and stroke risk in hypertensive patients. Data were sourced from the National Health and Nutrition Examination Survey (NHANES) spanning 1999-2020, including 23,712 hypertensive patients. DII scores were calculated based on dietary intake data, and stroke diagnoses were determined through self-reported physician diagnoses. The relationship between DII and stroke risk was assessed using multivariable logistic regression models. Dose-response relationships and subgroup differences were explored through stratified analysis and restricted cubic spline (RCS) methods. Key dietary factors associated with stroke were identified using least absolute shrinkage and selection operator (LASSO) regression and incorporated into a risk prediction nomogram model. The model's discriminatory ability for stroke was evaluated using receiver operating characteristic (ROC) curves. After adjusting for confounding factors, the highest DII quartile was associated with an adjusted odds ratio (OR) of 1.44 (95% CI 1.19, 1.74) for stroke compared to the lowest quartile, and each unit increase in DII was associated with an OR of 1.08 (95% CI 1.04-1.13) for stroke prevalence. The RCS curve demonstrated a nonlinear relationship between DII and stroke, with a turning point at 0.29. The nomogram model based on key dietary factors identified by LASSO regression had an area under the curve (AUC) of 70.93% (95% CI 69.81%-72.06%). There is a nonlinear relationship between DII and stroke risk in hypertensive patients. Given the inherent limitations of a cross-sectional study design, further research is needed to establish causality.

Association between dietary inflammatory index and cardiovascular-kidney-metabolic syndrome risk: a cross-sectional study

BACKGROUND

Dietary inflammation has been linked to various diseases. The dietary inflammatory index (DII) is a tool used to assess the inflammatory potential of a diet. The aim of this study was to explore the relationship between the DII and the risk of developing cardiovascular-kidney-metabolic syndrome (CKMS) in a U.S.

POPULATION

METHODS

Cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2020, which included 24,071 participants, were analyzed. CKMS was defined as the coexistence of cardiometabolic syndrome (CMS) and chronic kidney disease (CKD). The DII was calculated on the basis of the anti-inflammatory and pro-inflammatory scores of foods and nutrients. Weighted multivariable logistic regression models were used to estimate the associations between the DII and the risk of developing CKMS. Restricted cubic spline (RCS) regression was conducted to test nonlinear relationships. Subgroup analyses were performed by sex, age, race, smoking status, and alcohol consumption status.

RESULTS

After adjusting for confounders, compared with those of the lowest quartile of the DII, the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for higher DII quartiles were 1.17 (0.93-1.47), 1.43 (1.13-1.81), and 1.76 (1.42-2.18), respectively. Each one-unit increase in the DII was associated with a 12% greater risk of developing CKMS (OR: 1.12, 95% CI: [1.08, 1.18]). RCS regression indicated a significant nonlinear positive association between the DII and the risk of developing CKMS.

CONCLUSIONS

This study revealed a nonlinear positive association between the DII and the risk of developing CKMS in the U.S.

POPULATION

Further longitudinal studies are needed to establish causality and explore the underlying biological mechanisms involved.

Association of Dietary Inflammatory Index with Lipid Accumulation Product: A Population-Based Study in the U.S

Numerous studies suggest that the Dietary Inflammatory Index (DII) is inversely associated with the onset of various diseases; however, the relationship between DII and the Lipid Accumulation Product (LAP) remains unclear. This research intends to explore the association between DII and LAP across different people to inform dietary practices and manage body lipid levels effectively. Data were gathered from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018, examining a cohort of 17,790 participants. Linear regression analysis, along with sensitivity analysis, was used to investigate the association between the Dietary Inflammatory Index (DII) and the Lipid Accumulation Product (LAP). Additionally, subgroup analysis was performed to ascertain if the correlation between DII consumption with LAP varied depending on the population or situations. After accounting for possible confounding variables, a significant positive association between DII with LAP was observed [in model 1 (β= 2.01, 95% CI = 1.40, 2.63, p < 0.001), in model 2 (β = 1.47, 95% CI = 0.83, 2.10, p < 0.001), and model 3 (β = 0.86, 95% CI = 0.25, 1.47, p=0.006)]. Subgroup analyses indicated that this association between DII and LAP persisted across various age groups, among males, and in populations without cancer, cardiovascular diseases, chronic kidney issues, diabetes, hypertension, and non-smokers, among others. The results from the sensitivity analysis imply that the findings made in this research are reliable and consistent. Following an analysis of the data, the results indicated a positive relationship between DII and LAP. This research establishes a basis for additional investigations into the connection between inflammatory diets and circumstances such as diabetes, metabolic syndrome, and nonalcoholic fatty liver disease.

Plasma metabolomic signature of a proinflammatory diet in relation to breast cancer risk: a prospective cohort study

BACKGROUND

A proinflammatory diet has been linked to an increased risk of breast cancer. However, the underlying metabolic roles remain to be elucidated.

OBJECTIVES

This study aimed to investigate the metabolic mechanism between proinflammatory diet and breast cancer risk.

METHODS

This prospective study included 273,324 females from the UK Biobank. The dietary inflammatory potential was assessed via an energy-adjusted dietary inflammatory index (E-DII) based on a 24-h recall questionnaire. The plasma metabolome was profiled via high-throughput nuclear magnetic resonance spectroscopy. A metabolic signature was constructed by summing selected metabolite concentrations weighted by the coefficients via absolute shrinkage and selection operator analysis. Multivariate Cox regression was applied to assess the associations of the E-DII and metabolic signature with breast cancer risk.

RESULTS

We constructed a metabolic signature comprising 26 metabolites associated with a proinflammatory diet. These metabolites primarily included lipoproteins, amino acids, fatty acids, and ketone bodies. Both the E-DII and metabolic signature were positively associated with breast cancer risk [hazard ratio (HR) comparing the highest quintile with the lowest quintile: 1.17; 95% CI: 1.04, 1.32; and 1.21; 95% CI: 1.01, 1.46, respectively]. Furthermore, we found that saturated fatty acids to total fatty acids percentage and acetone concentration were positively associated (HR: 1.20; 95% CI: 1.04, 1.37; HR: 1.15; 95% CI: 1.01, 1.32, respectively), whereas the degree of unsaturation was inversely associated with breast cancer risk (HR: 0.86; 95% CI: 0.75, 0.99).

CONCLUSIONS

We identified a metabolic signature that reflects a proinflammatory diet and is associated with increased risk of breast cancer.

Dietary Inflammatory Index Is Differentially Associated With Cardiometabolic Health After Pregnancy on the Basis of Adverse Pregnancy Outcome Exposure

BACKGROUND

Inflammatory diets may influence risk of cardiovascular disease. Subsequent cardiovascular disease is also influenced by adverse pregnancy outcomes (APOs) such as preterm birth, small-for-gestational-age birth, gestational diabetes, and hypertensive disorders of pregnancy. However, the associations between inflammatory diet, APOs, and cardiometabolic health remain unclear.

METHODS AND RESULTS

We used data from the nuMoM2b (Nulliparous Pregnancy Outcomes Study Monitoring Mothers-to-Be) HHS (Heart Health Study) to assess the relationship between dietary quality and cardiometabolic health. We calculated Energy-Adjusted Dietary Inflammatory Index scores representing the inflammatory burden in a person's diet. We used linear regression to determine the association between Energy-Adjusted Dietary Inflammatory Index score and cardiometabolic outcomes. We performed stratified analyses for outcomes with a significant interaction between Energy-Adjusted Dietary Inflammatory Index and APO. Data were available from 3249 participants at a median of 3.1 years after delivery. Higher Energy-Adjusted Dietary Inflammatory Index scores were associated with higher body mass index (B=0.29 kg/m2 [95% CI, 0.16-0.42]), waist circumference (0.66 cm [95% CI, 0.39-0.93]), diastolic blood pressure (0.26 mm Hg [95% CI, 0.09-0.44]), mean arterial pressure (0.23 mm Hg [95% CI, 0.06-0.40]), triglycerides (2.11 mg/dL [95% CI, 1.05-3.18]), creatinine (2.78 mg/dL [95% CI, 1.13-4.44]), insulin (exp[B]=1.04 [95% CI, 1.03-1.05]) and C-reactive protein (exp[B]=1.07 [95% CI, 1.04-1.10]), and lower high-density lipoprotein cholesterol (-0.41 mg/dL [95% CI, -0.66 to -0.37]) (all P<0.01). Significant interactions with APO (P<0.05) were identified for body mass index and waist circumference, with stratified analysis revealing stronger associations for individuals with APOs.

CONCLUSIONS

A more proinflammatory diet was associated with worse cardiometabolic health measures, and these relationships differed by a person's APO history. Further investigation should establish how dietary modifications after pregnancy may potentially mitigate cardiovascular disease risk.

Sex differences in the association of dietary inflammatory index with chronic kidney disease in US adults

Studies on the association between dietary inflammatory index (DII) and chronic kidney disease (CKD) are limited. We aimed to examine the association between DII and CKD among U.S. adults with particular attention paid to sex differences. A total of 19317participants were included in this study. The exposure variable was DII, which was calculated based on overall inflammatory effect scores. The outcome was CKD, defined as estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 or urinary albumin/creatinine (uACR) ≥ 30 mg/g. The mean (SD) of age our study participants was 47.84 (18.35); and the mean (SD) of DII was 1.50 (1.91) (median 1.74). In multivariate logistic regression analysis, we observed that the OR value (95%CI) of CKD is 1.19 (1.14, 1.23), 1.12 (1.06, 1.19), and 1.16 (1.06, 1.27) in models 1, 2 and 3 for Per SD increment of DII. Compared with Participants with Q1(DII < 0.15), the adjusted ORs for participants in Q2 (0.15 ≤ DII < 1.74), Q3 (1.74 ≤ DII < 3.02) and Q4 (≥ 3.02)were 1.46 (95% CI 1.14-1.88), 1.55 (95% CI 1.20-1.99) and 1.52 (95% CI 1.17, 1.98) ( p for trend < 0.05), respectively. However, this study observed that the independent positive correlation between DII and CKD appeared in women rather than men. Higher DII levels were significantly and linearly associated with an increased prevalence of chronic kidney disease, and sex modified the association. This suggests that gender-specific dietary interventions can be developed to reduce the risk of CKD.

Early prediction of cognitive impairment in adults aged 20 years and older using machine learning and biomarkers of heavy metal exposure

Background

Cognitive impairment poses a growing health challenge as populations age. Heavy metals are implicated as environmental risk factors, but their role is not fully understood. Machine learning can integrate multi-factorial data to predict cognitive outcomes.

Objective

To develop and validate machine learning models for early prediction of cognitive impairment risk using demographics, clinical factors, and biomarkers of heavy metal exposure.

Method

A retrospective analysis was conducted using 2011-2014 NHANES data. Participants aged ≥ 20 underwent cognitive testing. Variables included demographics, medical history, lifestyle factors, and blood and urine levels of lead, cadmium, manganese, and other metals. Machine learning algorithms were trained on 90 % of data and evaluated on 10 %. Performance was assessed using metrics like accuracy, AUC, and sensitivity.

Result

A final sample of 2,933 participants was analyzed. The stacking ensemble model achieved the best performance with an AUC of 0.778 for test data, sensitivity of 0.879. Important predictors included age, gender, hypertension, education, urinary cadmium and blood manganese levels.

Conclusion

Machine learning can effectively predict cognitive impairment risk using comprehensive clinical and exposure data. Incorporating heavy metal biomarkers enhanced prediction and provided insights into environmental contributions to cognitive decline. Prospective studies are needed to validate models over time.

Quality of reporting health behaviors for multiple sclerosis (QuoRH-MS): A scoping review to inform intervention planning and improve consistency of reporting

BACKGROUND

Multiple sclerosis (MS) is a neurological condition that necessitates a multidisciplinary approach to aid those living with MS in managing their disease. Health behavior, or lifestyle modification, is an emerging approach to MS self-management. MS researchers utilize measurement tools to ensure that interventions are best suited to the outcomes, thereby potentially influencing practice. The aim of this study was to investigate which tools are being used for health behavior management studies in people living with MS and develop an aid for tool selection.

METHODS

A scoping review guided by the PRISMA-Sc checklist and the JBI manual for evidence synthesis was employed with a systematic search strategy executed across four scientific databases: Medline, PubMed, CINAHL, and Cochrane Libraries. The types of assessment tools used were extracted from the included studies. Each tool was categorized into the health behavior intervention discipline (nutrition, exercise, and psychology) and then subcategorized by the tool's purpose. The frequency of use was determined for each tool. Reporting of validation of the assessment tools were collated to inform a tool selection checklist.

RESULTS

The review identified a total of 248 tools (12 nutrition, 55 exercise, and 119 psychology unique reports) from 166 studies. Seventy-seven multidimensional tools were identified including measures of quality of life, fatigue, and functional scales. Only 88 studies (53%) referred to the validity of the tools. The most commonly reported tools were the dietary habits questionnaire (n = 4, nutrition), 6-minute walk test (n = 17, exercise), Symbol Digits and Modalities Test, and Hospital Anxiety and Depression Scale (n = 15 each, psychology) with the Expanded Disability Status Scale reported 43 times.

CONCLUSION

Evidence from interventions may inform practice for health professionals. This review provides insights into the range of tools reported across health behavior intervention studies for MS and offers a guide toward more consistent reporting of study methods.

Meta-analysis of the association between dietary inflammation index and C-reactive protein level

BACKGROUND

There have been various clinical studies on the effect of dietary inflammatory index (DII) on circulating inflammatory biomarkers, but the findings from these are contradictory. The aim of the present study was to clarify any association.

METHODS

The PubMed, Embase, Web of Science and Cochrane Library database were searched for relevant studies from inception February 2021. There were no language restrictions. Two investigators independently selected eligible studies. Measures of association were pooled by using an inverse-variance weighted random-effects model. The heterogeneity among studies was examined using the I2 index. Publication bias, sensitivity and subgroup analyses were also performed.

RESULTS

A total of 13 cross-sectional studies were identified, involving 54,813 participants. The adjusted pooled OR of C-reactive protein (CRP) levels for the highest (the most pro-inflammatory diet) versus lowest (the most anti-inflammatory diet) DII categories was 1.25 (95% CI: 1.18-1.32; I2  = 59.4%, P = .002). Subgroup analyses suggested the main source of study heterogeneity was the geographic area (Asia, Europe, or USA) and CRP levels (>3 mg/L or others). This finding was remarkably robust in the sensitivity analysis.

CONCLUSION

The meta-analysis suggests that more pro-inflammatory DII scores were positively associated with CRP, the DII scores can be useful to assess the diet inflammatory properties and its association with low-grade inflammation.

Associations of dietary inflammatory index with low estimated glomerular filtration rate, albuminuria and chronic kidney disease in U.S adults: Results from the NHANES 2011-2018

BACKGROUND AND AIMS

Chronic Kidney Disease (CKD) is characterized by a high inflammation status with ever-increasing prevalence, and defined as low estimated glomerular filtration rate (eGFR) or albuminuria. Both low eGFR and albuminuria can have independent effects on the body. The dietary inflammatory index (DII) is a validated tool used to assess the inflammatory potential of the diet. We aim to explore not only the association between DII and CKD, but also the associations of DII with low eGFR and albuminuria, respectively. In addition, their associations in different subgroups remain to be explored.

METHODS AND RESULTS

18,070 participants from the 2011-2018 NHANES with complete data of dietary intake and laboratory data were involved in our study. The data of 24-hour dietary recall interview was used to calculate DII, CKD could be reflected by laboratory data of creatinine and albumin. Then weighted multivariate logistic regression models and subgroup analyses were performed. The prevalence of low eGFR, albuminuria and CKD were 6.8%, 9.8% and 14.5%, respectively. A positive association between DII and low eGFR was observed (OR=1.12, 95%CI: 1.05-1.21), Q2, Q3 and Q4 are positively associated with a significant 39%, 65% and 71% increased risk of low eGFR compared with Q1 (P for trend<0.05). DII was also associated with CKD (OR=1.06, 95%CI: 1.01-1.11).

CONCLUSION

Significant positive associations of DII with CKD and low eGFR were observed. But we didn't find such association between DII and albuminuria.

Impact of the anti-inflammatory diet on serum high-sensitivity C-Reactive protein and new-onset frailty in community-dwelling older adults: A 7-year follow-up of the Kashiwa cohort study

AIM

Chronic inflammation is a pathophysiological cause of age-related diseases, including frailty. Although diet is a determinant of inflammation, few prospective studies have investigated its role in frailty onset. This study used the dietary inflammatory index to investigate whether a proinflammatory diet affects the incidence of frailty in a 7-year follow-up of older Japanese adults.

METHODS

We enrolled community-dwelling older adults without frailty from the 2014 Kashiwa cohort study. Energy-adjusted dietary inflammatory index (E-DII) scores were calculated using a brief self-administered diet history questionnaire. Serum high-sensitivity C-reactive protein (hsCRP) levels were measured by immunoassays. Frailty was defined as meeting three of Fried's five phenotypic criteria. Cox regression was used to analyze associations between E-DII scores and new-onset frailty after adjusting for relevant confounders.

RESULTS

Overall, 95 (11.7%) of 811 participants (73.7 ± 4.8 years, women 47.3%) developed new-onset frailty during the 7-year follow-up. The baseline E-DII scores significantly correlated with log-hsCRP levels, even after adjustment (β = 0.075, P = 0.035). The highest tertile of E-DII scores (proinflammatory diet) showed a 2.03 times (95% confidence interval, 1.22-3.36) higher risk of new-onset frailty than that associated with the lowest tertile (P = 0.006). When E-DII was calculated on the basis of anti-inflammatory food parameters only, the highest tertile showed a 2.32 times (95% confidence interval, 1.36-3.95) higher risk than that associated with the lowest tertile (P = 0.002).

CONCLUSIONS

E-DII scores significantly correlated with serum hsCRP levels. High E-DII scores caused by low intake of anti-inflammatory foods are associated with frailty incidence. For community-dwelling older adults, dietary interventions that lower E-DII scores (e.g., encouraging dietary fiber intake) may help prevent frailty. Geriatr Gerontol Int 2024; 24: 189-195.

Diet Inflammatory Index among Regularly Physically Active Young Women and Men

Recently, special attention has been paid to the relationship between diet and inflammation in the body. A factor that influences both diet and inflammation is physical activity. The aim of this study was to assess the inflammatory potential of the diets of young people engaging in regular physical activity. The participants were physical education students (n = 141 men and n = 151 women). The measurements included basic anthropometric parameters and a 4-day nutritional history from which the dietary inflammatory index (DII) was calculated. The average DII for female students was 2.09 ± 1.52, and that for male students was 0.21 ± 1.69. Consumption of all macro- and micronutrients was significantly higher among women and men with the lowest DII value (corresponding to an anti-inflammatory diet). The female and male students consuming anti-inflammatory diets were characterized by greater lean body mass (LBM), and, for the male students, a lower body fat content, compared to those whose diets were pro-inflammatory. Young and regularly physically active people are also exposed to the pro-inflammatory nature of their diets, whose long-term effects may lead to health problems.

Interaction between Meal-timing and Dietary Inflammatory Potential: Association with Cardiometabolic Endpoints in a 3-month Prospective Analysis

BACKGROUND

Diet quality is a moderator of cardiometabolic markers. The timing of dietary intake may be an important determinant; however, previous results have been mixed. Complex mechanisms may result in an interaction between diet timing and quality.

OBJECTIVES

This study aimed to examine the association between fasting duration and first and last mealtime and inflammatory and lipid biomarkers. We also explored the interactions between Energy-density Dietary Inflammatory Index (E-DII) scores and meal-timing on inflammatory and lipid biomarkers.

METHODS

This study was a secondary data analysis of a dietary intervention. Assessments occurred at baseline and 3-months. Three unannounced 24-hour dietary recalls estimated diet for calculation of E-DII scores, nighttime fasting duration, and first and last mealtime. Cardiometabolic markers were obtained from a fasting blood sample. Multiple linear regression of baseline data was used for Aim 1. For Aim 2, the interaction between E-DII change over 3 months and the meal-timing metrics were used to estimate changes in cardiometabolic markers.

RESULTS

Most participants (n=95) were female (81%) and White (62%) and they had an average age of 46.9 ± 13.4 years and BMI of 31.4 ± 7.1 kg/m2. Every one-hour longer fasting duration was associated with increased total cholesterol (β=5.79, p=0.01), LDL-cholesterol (β=4.47, p=0.03), and LDL:HDL ratio (β=0.08, p=0.04). For every 30-minute later first mealtime, increases in total cholesterol, LDL-cholesterol and LDL:HDL ratios also were observed. Anti-inflammatory E-DII changes were associated with reduced total cholesterol and LDL-C (among participants with shorter fasting durations, later last mealtime, or earlier first mealtime) and C-reactive protein (CRP, among earlier first mealtime and shorter fasting duration).

CONCLUSIONS

This study provides evidence for interaction between dietary timing and quality on cardiometabolic biomarkers. Worsening lipid profiles seen with longer fasting durations may be an artifact of skipped or delayed breakfast, underlining the potential importance of food consumption early in the morning.

CLINICALTRIALS

GOV IDENTIFIER

NCT02382458 (https://clinicaltrials.gov/ct2/show/NCT02382458).

Construct Validation of the Dietary Inflammatory Index (DII) among Young College-Aged Women

The Dietary Inflammatory Index (DII) is designed to assess the inflammatory potential of the diet. While previous research has utilized DII among college-aged women, no study to date has validated it in this population. We conducted a construct validation of DII among 393 healthy women aged 18-31 years against a robust panel of 14 inflammatory biomarkers, including CRP, IL-1β, IL-4, IL-6, IL-10, and TNF-α, which were used in the development of DII. Three linear regression models were constructed: (1) an age-adjusted model, (2) the most parsimonious model based on likelihood ratio tests, and (3) a fully adjusted model for age, race, body mass index, waist circumference, physical activity, smoking status, and nonsteroidal anti-inflammatory drug use. DII was derived from the Harvard food frequency questionnaire and categorized into quartiles. Consistent with our hypothesis, DII was negatively and significantly associated with back-transformed IL-10 levels, confirming that a more pro-inflammatory diet was associated with lower levels of an anti-inflammatory cytokine (Model 3: Q4 vs. Q1 β = 0.62; 95% CI: 0.42, 0.93; p-trend = 0.04). While validated in other populations, DII may not be a suitable tool for assessing the inflammatory potential of the diet among college-aged women.

Dietary inflammatory index (DII) is correlated with the incidence of non-alcoholic fatty liver disease (NAFLD): Fasa PERSIAN cohort study

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) is a prevalent liver disease predisposing patients to life-threatening conditions, including cirrhosis. There is evidence that the incidence of NAFLD is related to the individuals' dietary patterns; however, it is still remaining unknown whether the inflammatory potential of various foods/dietary patterns can directly predict a higher incidence of NAFLD.

METHODS

In this cross-sectional cohort study, we investigated the relationship between the inflammatory potential of various food items and the incidence/odds of NAFLD. We used data from Fasa PERSIAN Cohort Study comprising 10,035 individuals. To measure the inflammatory potential of diet, we used the dietary inflammatory index (DII®). Fatty liver index (FLI) was also calculated for each individual to identify the presence of NAFLD (cut-off = 60).

RESULTS

Our findings showed that higher DII is significantly associated with increased incidence/odds of NAFLD (OR = 1.254, 95% CI: 1.178-1.334). Additionally, we found out that higher age, female gender, diabetes mellitus, hypertriglyceridemia, hypercholesterolemia, and hypertension are other predictors of developing NAFLD.

CONCLUSIONS

It can be concluded that consuming foods with a higher inflammatory potential is associated with a greater risk of developing NAFLD. Additionally, metabolic diseases, including dyslipidemia, diabetes mellitus, and hypertension, can also predict the incidence of NAFLD.

Severity of Inflammation Is Associated with Food Intake in Hospitalized Geriatric Patients-A Merged Data Analysis

The extent to which inflammation impacts food intake remains unclear, serving as a key risk factor for malnutrition as defined by the Global Leadership Initiative on Malnutrition (GLIM). To address this, we analyzed a large, merged dataset of geriatric hospitalized patients across Europe. The study included 1650 consecutive patients aged ≥65 year from Germany, Italy, Finland, Denmark, and Poland. Nutritional intake was assessed using the first item of the Mini Nutritional Assessment Short Form; C-reactive protein (CRP) levels were measured using standard procedures. In total (age 79.6 ± 7.4 year, 1047 females), 23% exhibited moderate to severe inflammation, and 12% showed severe inflammation; 35% showed moderate reductions in food intake, and 28% were considered malnourished. Median CRP levels differed significantly between patients with severe, moderate, and no decrease in food intake. Among patients with a CRP level of 3.0-4.99 mg/dL, 19% experienced a severe decrease in food intake, while 66% experienced moderate to severe decreases. Regression analysis revealed that inflammation was the most prominent risk factor for low food intake and malnutrition, surpassing other factors such as age, gender, infection, and comorbidity. A CRP level of ≥3.0 mg/dL is associated with reduced food intake during last 3 months in two thirds of hospitalized geriatric patients and therefore indicative for a high risk of malnutrition.

Machine learning for the prediction of cognitive impairment in older adults

OBJECTIVE

The purpose of this study was to develop and validate a predictive model of cognitive impairment in older adults based on a novel machine learning (ML) algorithm.

METHODS

The complete data of 2,226 participants aged 60-80 years were extracted from the 2011-2014 National Health and Nutrition Examination Survey database. Cognitive abilities were assessed using a composite cognitive functioning score (Z-score) calculated using a correlation test among the Consortium to Establish a Registry for Alzheimer's Disease Word Learning and Delayed Recall tests, Animal Fluency Test, and the Digit Symbol Substitution Test. Thirteen demographic characteristics and risk factors associated with cognitive impairment were considered: age, sex, race, body mass index (BMI), drink, smoke, direct HDL-cholesterol level, stroke history, dietary inflammatory index (DII), glycated hemoglobin (HbA1c), Patient Health Questionnaire-9 (PHQ-9) score, sleep duration, and albumin level. Feature selection is performed using the Boruta algorithm. Model building is performed using ten-fold cross-validation, machine learning (ML) algorithms such as generalized linear model (GLM), random forest (RF), support vector machine (SVM), artificial neural network (ANN), and stochastic gradient boosting (SGB). The performance of these models was evaluated in terms of discriminatory power and clinical application.

RESULTS

The study ultimately included 2,226 older adults for analysis, of whom 384 (17.25%) had cognitive impairment. After random assignment, 1,559 and 667 older adults were included in the training and test sets, respectively. A total of 10 variables such as age, race, BMI, direct HDL-cholesterol level, stroke history, DII, HbA1c, PHQ-9 score, sleep duration, and albumin level were selected to construct the model. GLM, RF, SVM, ANN, and SGB were established to obtain the area under the working characteristic curve of the test set subjects 0.779, 0.754, 0.726, 0.776, and 0.754. Among all models, the GLM model had the best predictive performance in terms of discriminatory power and clinical application.

CONCLUSIONS

ML models can be a reliable tool to predict the occurrence of cognitive impairment in older adults. This study used machine learning methods to develop and validate a well performing risk prediction model for the development of cognitive impairment in the elderly.

The Inflammatory Potential of Diet and Pain Incidence: A Cohort Study in Older Adults

BACKGROUND

Despite its importance, evidence regarding pain prevention is inadequate. Leveraging the growing knowledge on how diet regulates inflammation, we examined the association of 3-year changes in the inflammatory potential of diet with pain incidence over the subsequent 3 years.

METHODS

We used data from 819 individuals aged ≥60 years and free of pain in 2012, drawn from the Spanish Seniors-ENRICA-1 cohort. The inflammatory potential of diet was estimated via a validated diet history and 2 indices: the dietary inflammatory index (DII) and the empirical dietary inflammatory index (EDII). The frequency, severity, and number of locations of incident pain were combined into a scale that classified participants as suffering from no pain, intermediate pain, or highest pain.

RESULTS

Shifting the diet toward a higher inflammatory potential was associated with subsequent increased risk of highest pain (fully-adjusted relative risk ratio [95% confidence interval] per 1-standard deviation increment in the DII and the EDII = 1.45 [1.16,1.80] and 1.21 [0.98,1.49], respectively) and intermediate pain (0.99 [0.75,1.31] and 1.37 [1.05,1.79]). The 3 components of the pain scale followed similar trends, the most consistent one being pain severity (moderate-to-severe pain: DII = 1.39 [1.11,1.74]; EDII = 1.35 [1.08,1.70]). The association of increasing DII with highest incident pain was only apparent among the less physically active participants (2.08 [1.53,2.83] vs 1.02 [0.76,1.37]; p-interaction = .002).

CONCLUSION

An increase in the inflammatory potential of diet was associated with higher pain incidence over the following years, especially among the less physically active participants. Future studies in older adults should assess the efficacy of pain prevention interventions targeting the inflammatory potential of diet.

Associations between dietary and blood inflammatory indices and their effects on cognitive function in elderly Americans

OBJECTIVE

To determine the correlations between dietary and blood inflammation indices in elderly Americans and their effects on cognitive function.

METHODS

This research extracted data from the 2011-2014 National Health and Nutrition Examination Survey for 2,479 patients who were ≥60 years old. Cognitive function was assessed as a composite cognitive function score (Z-score) calculated from the results of the Consortium to Establish a Registry for Alzheimer's Disease Word Learning and Delayed Recall tests, the Animal Fluency test, and the Digit Symbol Substitution Test. We used a dietary inflammatory index (DII) calculated from 28 food components to represent the dietary inflammation profile. Blood inflammation indicators included the white blood cell count (WBC), neutrophil count (NE), lymphocyte count (Lym), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), neutrophil-albumin ratio (NAR), systemic immune-inflammation index [SII, calculated as (peripheral platelet count) × NE/Lym], and systemic inflammatory response index [SIRI, calculated as (monocyte count) × NE/Lym]. WBC, NE, Lym, NLR, PLR, NAR, SII, SIRI, and DII were initially treated as continuous variables. For logistic regression, WBC, NE, Lym, NLR, PLR, NAR, SII, and SIRI were divided into quartile groups, and DII was divided into tertile groups.

RESULTS

After adjusting for covariates, WBC, NE, NLR, NAR, SII, SIRI, and DII scores were markedly higher in the cognitively impaired group than in the normal group (p < 0.05). DII was negatively correlated with the Z-score when combined with WBC, NE, and NAR (p < 0.05). After adjusting for all covariates, DII was positively correlated with SII in people with cognitive impairment (p < 0.05). Higher DII with NLR, NAR, SII, and SIRI all increased the risk of cognitive impairment (p < 0.05).

CONCLUSION

DII was positively correlated with blood inflammation indicators, and higher DII and blood inflammation indicators increased the risk of developing cognitive impairment.

Association between dietary inflammatory index and atherosclerosis cardiovascular disease in U.S. adults

Objective

To evaluate the association between dietary inflammatory index (DII) and Atherosclerotic cardiovascular disease (ASCVD) among U.S. adults.

Methods

We collected data from National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. Adults who reported complete information to diagnose ASCVD and calculate DII were included. We used three models to differentially adjust the covariates, including age, sex, race or ethnicity, education level, smoking status, poverty, insurance, body mass index, hyperlipemia, hypertension, and diabetes. Logistic regression was used to estimate the Odds Ratio (OR) and 95% confidence interval (95% CI) for ASCVD grouped by DII deciles. We additionally conducted spline smoothing with the generalized additive model (GAM) and the log-likelihood ratio to examine the non-linear relationship between DII and ASCVD. If exists, the segmented linear regression will be used to detect the cutoff point. The subgroup analyses were stratified by various atherosclerotic cardiovascular diseases (i.e., CHD, angina, heart attack, and stroke) and sex.

Results

A total of 48,733 participants (mean age, 47.13 ± 0.19 years) with 51.91% women were enrolled, of which 5,011 were diagnosed with ASCVD. In the crude model, participants in the five highest deciles (D6, 7, 8, 9, and 10) of DII score had a significantly higher risk of having ASCVD compared to those in the first decile. In the fully adjusted model, those in the tenth decile [OR = 1.47, 95% CI = (1.18,1.84)] of DII had a significantly increased risk of ASCVD compared to the first decile. Notably, when DII is above 3, the ASCVD risk increased by 41% for each one increase in DII [OR = 1.41, 95% CI = (1.15,1.73)]. This relationship was more pronounced in females.

Conclusion

Our study revealed a positive and non-linearly association between DII and ASCVD in U.S. adults. This relationship was more pronounced in females. The findings provide a reference for future research and diet recommendations.

Association between Dietary Inflammatory Index and Sarcopenia: A Meta-Analysis

Background: The dietary inflammatory index (DII) is thought to be related to many healthy events. However, the association between the DII and sarcopenia remains unclear. Methods: The meta-analysis was conducted to evaluate the effects of the DII on the risk of sarcopenia utilizing available studies. Up to September 2022, Cochrane, PubMed, Web of Science, Medline, and EMBASE databases were searched to evaluate the relationships between the DII and sarcopenia. A random‒effects model was used to calculate the effect size and 95% confidence intervals (CIs). Result: Eleven studies with 19,954 participants were included in our meta-analysis. The results indicated that a high DII increased the risk of sarcopenia (OR = 1.16, 95%CI [1.06, 1.27], p < 0.05). The result of the dose−response analysis showed that the risk of sarcopenia increased by 1.22 times for each 1-point increase in the DII score (OR = 1.22, 95%CI [1.12, 1.33], p < 0.05). Conclusion: The meta-analysis demonstrated that the DII is associated with sarcopenia. Considering some limitations in this study, more studies are needed to verify this relationship.

The Dietary Inflammatory Index Is Associated with Subclinical Mastitis in Lactating European Women

Subclinical mastitis (SCM) is an inflammatory state of the lactating mammary gland, which is asymptomatic and may have negative consequences for child growth. The objectives of this study were to: (1) test the association between the dietary inflammatory index (DII®) and SCM and (2) assess the differences in nutrient intakes between women without SCM and those with SCM. One hundred and seventy-seven women with available data on human milk (HM) sodium potassium ratio (Na:K) and dietary intake data were included for analysis. Multivariable logistic regression was used to examine the association between nutrient intake and the DII score in relation to SCM. Women without SCM had a lower median DII score (0.60) than women with moderate (1.12) or severe (1.74) SCM (p < 0.01). A one-unit increase in DII was associated with about 41% increased odds of having SCM, adjusting for country and mode of delivery, p = 0.001. Women with SCM had lower mean intakes of several anti-inflammatory nutrients. We show for the first time exploratory evidence that SCM may be associated with a pro-inflammatory diet and women with SCM have lower intakes of several antioxidant and anti-inflammatory nutrients.

Relationship between leisure-time physical activity and depressive symptoms under different levels of dietary inflammatory index

Depressive symptoms are major public health problems. Leisure-time Physical activity (LPA) and dietary inflammatory preference are emerging factors that tends to affect the mental health status. There is limited evidence regarding the joint influence of LPA and dietary status on the prevalence of depression. This study was a cross-sectional study, which used a nationwide represented sample from the National Health and Nutrition Examination Survey (NHANES) to assess the relationship among LPA, diet status and depression. Depression and LPA status was reported by the 9-item Patient Health Questionnaire (PHQ-9) and Physical Activity Questionnaire (PAQ), respectively. To assess dietary inflammatory preferences, dietary inflammatory index (DII) was applied based on a 24-h dietary recall interview. A total of 11,078 subjects was included in this study and weighted participants were 89,682,020. Weighted multivariable linear regression showed that DII was negatively associated with LPA after full adjustment, with β (95% CI): -0.487 (-0.647, -0.327). Weighted multivariable logistic regression showed that LPA was significantly associated with depressive symptoms after full adjustment, with odds ratios OR (95% CIs): 0.986 (0.977, 0.995). By DII stratification analysis, this phenomenon was also existed in groups with anti-inflammatory diet. Mediation effect analysis was further performed, which showed that DII significantly mediating the association between LPA and depression with proportion mediated as 3.94%. Our findings indicated the mediating role of DII in the association between LPA condition and incident depression. More well-designed studies are still needed to validate the causal relationship.

Association between Dietary Inflammatory Index and serum Klotho concentration among adults in the United States

Background

Klotho is a hormone that emerges as an antiaging biomarker. However, the influence of the dietary pattern’s inflammatory potential on serum Klotho levels in human populations, especially in a general adult population, remains unknown. This study aimed to evaluate the relationship between the dietary inflammatory index (DII) and serum Klotho concentrations in individuals living in the United States. 

Methods 

From the 2007–2016 National Health and Nutrition Examination Survey database, data of participants who completed the full 24-h dietary history and underwent serum Klotho testing were analyzed. The association between DII and serum Klotho concentrations was estimated using multivariable linear regression models. We also conducted segmented regression model to examine the threshold effect of DII on serum Klotho concentrations.

Results

A total of 10,928 participants were included, with a median serum Klotho concentration of 805.20 pg/mL (IQR: 657.58 − 1001.12) and a median DII of 1.43 (IQR: − 0.16 − 2.82). Multivariable regression showed that participants with high DII scores were associated with low serum Klotho concentrations; when classifying DII into quartiles, after full adjustment, participants in DII quartiles 3 and 4 showed a decrease in Klotho levels (25.27 and 12.44 pg/ml, respectively) compared with those in the lowest quartile (quartile 1) (95% CI: − 41.80, − 8.73 and − 29.83, 4.95, respectively; P for trend = 0.036). The segmented regression showed that the turning point value of DII was − 1.82 (95% CI: − 2.32, − 0.80). A 1-unit increase in DII was significantly associated with lower Klotho levels by − 33.05 (95% CI: − 52.84, − 13.27; P = 0.001) when DII ranges from − 5.18 to − 1.82; however, the relationship was not significant when DII ranges from − 1.82 to 5.42 (P > 0.05). Furthermore, stratified analyses indicated that the observed associations between DII and serum Klotho concentration were stronger among those aged ≥ 56 years, those with normal weight, and those without chronic kidney disease (P for interaction = 0.003, 0.015, and 0.041, respectively).

Conclusions

In summary, we indicated that there was a dose–response relationship between DII and serum Klotho concentrations, suggesting that adhering to an anti-inflammatory diet has beneficial effects on aging and health by increasing the serum Klotho concentration.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03228-8.

klotho deficiency linked to multiple premature-aging syndromes and a short lifespan

Proinflammatory cytokines, including TNF-α, IFN-γ, and IL-6, downregulate α-Klotho gene expression

Dietary Inflammatory Index was developed as a tool to determine the inflammatory potential of diet

We found that there was a dose–response relationship between DII and circulating concentrations of klotho in a nationally representative population of American adults.

Association of the Dietary Inflammatory Index with Depressive Symptoms among Pre- and Post-Menopausal Women: Findings from the National Health and Nutrition Examination Survey (NHANES) 2005-2010

During their lifetime, 20% of US women experience depression. Studies have indicated that a high Dietary Inflammatory Index (DII) score is associated with high C-reactive protein (CRP) levels and depression. No previous study has compared the association of the DII with different measures of depression (e.g., somatic, cognitive) among pre- and post-menopausal women. We used data from 2512 pre-menopausal and 2392 post-menopausal women from the National Health and Nutrition Examination Survey (NHANES) 2005−2010 database. We ran linear and logistic regression models to compare the association of the DII with survey-measured depression among pre- and post-menopausal women. We further assessed the mediation effect of CRP on the association of the DII and depression, using structural equation modeling. The odds of experiencing depression among pre-menopausal women was higher for all DII quartiles compared to the reference group (i.e., DII Q1), with an odds ratio (OR) of 3.2, 5.0, and 6.3 for Q2, Q3, and Q4, respectively (p < 0.05). Among post-menopausal women, only Q4 had 110% higher odds of experiencing depression compared to Q1 (p = 0.027). No mediation effect of CRP was found between DII and any of our depression outcome measures. Our findings suggest that lifestyle habits, such as diet, may have a stronger influence on mental health among pre-menopausal women than post-menopausal women.

The Association Between Dietary Inflammatory Index and Cognitive Performance in Older Adults Aged 60 Years and Older

Background

Neuroinflammation has been linked to the development of cognitive performance. Epidemiological evidence on dietary inflammatory potential and cognitive performance is scarce. We evaluated the association between dietary inflammatory index (DII) and cognitive performance in older adults.

Methods

This study included adults aged 60 years or older from the 2011–2014 National Health and Nutrition Examination Survey. The DII scores were calculated based on 27 nutritional parameters. Cognitive performance was assessed with four cognitive tests: the Digit Symbol Substitution Test (DSST, n = 2,780), the Consortium to Establish a Registry for Alzheimer’s Disease Word Learning (CERAD-WL, n = 2,859) and Delayed Recall (CERAD-DR, n = 2,857), and the Animal Fluency (AF, n = 2,844) tests. Restricted cubic splines and logistic regression were adopted to assess the associations.

Results

Comparing the highest to lowest tertile of DII scores, the odds ratio (95% CI) of lower cognitive functioning was 1.97 (1.08–3.58) [P-trend = 0.02, per 1 unit increment: 1.17 (1.01–1.38)] on DSST, 1.24 (0.87–1.76) [P-trend = 0.24, per 1 unit increment: 1.09 (0.96–1.23)] on CERAD-WL, 0.93 (0.57–1.51) [P-trend = 0.74, per 1 unit increment: 1.02 (0.87–1.20)] on CERAD-DR, and 1.76 (1.30–2.37) [P-trend < 0.01, per 1 unit increment: 1.17 (1.05–1.29)] on AF. The above-mentioned associations were observed in both men and women. In non-linear dose–response analysis, the association between DII and lower cognitive functioning was not significant at lower DII scores up to 3.0, after which the association was significant and the curve rose steeply.

Conclusion

Higher DII is associated with lower scores on DSST and AF tests in older adults.

Diet Quality and Dietary Inflammatory Index Score among Women's Cancer Survivors

The purpose of this study was to investigate Healthy Eating Index 2015 (HEI-2015) and Energy-Adjusted Dietary Inflammatory Index (E-DII^TM) scores in women's cancer survivors and to examine socio-economic (SES) characteristics associated with these two diet indices. In this cross-sectional study, survivors of women's cancers completed a demographic questionnaire and up to three 24-h dietary recalls. HEI-2015 and E-DII scores were calculated from average intakes. One-way ANOVA was used to examine the association of various demographic factors on HEI-2015 and E-DII scores. Pearson Correlation was used to calculate the correlation between the two scores. The average HEI-2015 score was 55.0 ± 13.5, lower than the national average, and average E-DII was -1.14 ± 2.24, with 29% of women having a more pro-inflammatory and 71% a more anti-inflammatory diet. Diets with higher HEI-2015 scores were associated with more anti-inflammatory diets (r = -0.67, p < 0.001). Those having a graduate degree (F(2,49) = 3.6, p = 0.03) and completing cancer treatment > 4 years ago (F(2,49) = 4.8, p = 0.01) had higher HEI-2015 scores. There were no associations between SES and E-DII scores. The diet quality of women's cancer survivors is comparatively low, but many achieved an anti-inflammatory diet; a promising avenue for preventing recurrence. There is an urgent need to involve health care professionals in the guidance of women's cancer survivors to improve diet quality and prevent cancer recurrence.

The Association between Energy-Adjusted Dietary Inflammatory Index, Body Composition, and Anthropometric Indices in COVID-19-Infected Patients: A Case-Control Study in Shiraz, Iran

BACKGROUND AND AIMS

Inflammation is strongly associated with the severity and mortality rate of SARS-CoV-2 disease (COVID-19). Dietary factors have a crucial role in preventing chronic and systemic inflammation. This study aimed to evaluate the association between energy-adjusted dietary inflammatory index (E-DII) scores and body composition parameters in COVID-19-infected patients compared to noninfected controls.

METHODS

A total of 133 COVID-19-infected patients and 322 noninfected controls were selected and enrolled from the Cohort Study of Employees of Shiraz University of Medical Sciences. E-DII score was calculated based on a validated food frequency questionnaire (FFQ) and body composition was measured using In-Body 770 equipment. Logistic regression models were utilized to estimate the odds ratio (OR).

RESULTS

In the control group, the mean E-DII score was significantly lower than the case group (-2.05 vs. -0.30, P ≤ 0.001), indicating that the diet of COVID-19-infected subjects was more proinflammatory than the controls. For every 1 unit increase in E-DII score, the odds of infection with COVID-19 was nearly triple (OR: 2.86, CI: 2.30, 3.35, P ≤ 0.001). Moreover, for each unit increase in body mass index (BMI), the odds of infection to COVID-19 increased by 7% (OR: 1.07, CI: 1.01, 1.13, P = 0.02). No significant difference was observed for other anthropometric parameters.

CONCLUSION

The findings revealed that obese people and those consuming a more proinflammatory diet were more susceptible to coronavirus infection. Therefore, maintaining ideal body weight and consuming a more anti-inflammatory diet can decrease the probability of COVID-19 infection.

Dietary Inflammatory Index and Cross-Sectional Associations with Inflammation, Muscle Mass and Function in Healthy Old Adults

IMPORTANCE

Inflammaging is considered a driver of age-related loss of muscle mass and function (sarcopenia). As nutrition might play a role in this process, the Dietary Inflammatory Index® (DII) has been developed to quantify the inflammatory potential of an individual diet.

OBJECTIVES

We aimed to examine associations between the DII, inflammation, oxidative stress and sarcopenia-related parameters in healthy old compared to young adults.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study included data of 79 community-dwelling, healthy old adults (65-85 years) and 59 young adults (18-35 years) who participated in a randomized controlled trial from April to December 2019.

MEASUREMENTS

The DII was computed with dietary data collected from 24-h recall interviews. Associations between the DII, inflammatory and oxidative stress markers as well as bioimpedance-derived body composition, handgrip strength and gait speed were determined with multiple linear regression analyses adjusted for age, sex, physical activity and insulin resistance.

RESULTS

Regression analyses revealed significant relationships between a higher interleukin (IL) 6 and IL-6:IL-10-ratio and higher percentage fat mass (%FM), waist-to-height-ratio (WHtR) as well as lower percentage skeletal muscle mass (%SMM) and gait speed exclusively in old adults. Subsequent analyses showed that IL-6 was associated with a pro-inflammatory diet as indicated by a higher DII, again exclusively in old adults (beta coefficient (β)= 0.027, standard error (SE) 0.013, p=0.037). While the DII was not related with handgrip strength or oxidative stress in neither old nor young adults, linear models confirmed that a higher DII was inversely associated with gait speed in old participants (β= -0.022, SE 0.006, p<0.001). Finally, a pro-inflammatory diet was significantly associated with higher %FM, WHtR and lower %SMM in both age groups.

CONCLUSION AND RELEVANCE

A pro-inflammatory diet reflected by the DII is associated with higher systemic inflammation, slower gait speed as well as lower muscle mass in old adults. Intervention studies are needed to examine whether anti-inflammatory dietary approaches can help to improve muscle mass and function and thus minimize the risk for sarcopenia in the long-term.

The association between an energy-adjusted dietary inflammatory index and inflammation in rural and urban Black South Africans

OBJECTIVE

To quantify the inflammatory potential of the diet of rural and urban Black South Africans using an adapted energy-adjusted dietary inflammatory index (AE-DII) and to investigate its relationship with inflammatory and cardio-metabolic disease risk markers. Dietary inflammatory potential has not been investigated in African populations.

DESIGN

Cross-sectional investigation.

SETTING

Rural and urban sites in the North West province of South Africa.

PARTICIPANTS

1885 randomly selected, apparently healthy Black South Africans older than 30 years.

RESULTS

AE-DII scores ranged from -3·71 to +5·08 with a mean of +0·37. AE-DII scores were significantly higher in men (0·47 ± 1·19) than in women (0·32 ± 1·29), and in rural (0·55 ± 1·29) than urban participants (0·21 ± 1·19). Apart from its dietary constituents, AE-DII scores are primarily associated with age, rural-urban status and education. Contrary to the literature, alcohol consumption was positively associated with AE-DII scores. Of the four tested inflammatory and thirteen cardio-metabolic biomarkers, the AE-DII was only significantly negatively associated with albumin and HDL cholesterol, and positively with waist circumference and fasting glucose, upon full adjustment.

CONCLUSION

Rural men consumed the most pro-inflammatory diet, and urban women the least pro-inflammatory diet. The diet of the participants was not overtly pro- or anti-inflammatory and was not associated with measured inflammatory markers. The inflammatory potential of alcohol at different levels of intake requires further research. Understanding dietary inflammatory potential in the context of food insecurity, unhealthy lifestyle practices and lack of dietary variety remains limited.

The dietary inflammatory index is inversely associated with depression, which is minimally mediated by C-reactive protein

Depression affects 8% of adults in America and is one of the leading causes of disability in Western countries. The dietary inflammatory index (DII) has previously been reported to be associated with inflammation and depression. However, no study to date has looked at the potential mediating effect of inflammation on the association of DII and depression. We hypothesized that the association of DII and depression would be both statistically and clinically mediated substantially by inflammation. We assessed these associations using the cross-sectional National Health and Nutrition Examination Survey (NHANES) 2005-2010 database. Our analysis included 10,022 participants aged 20 years and older. Inflammation was assessed with C-reactive protein (CRP) levels. Diet was measured using two 24 hour dietary recalls. Depression was assessed using the 9-item Patient Health Questionnaire (PHQ-9), which has a score range of 0 to 27, with the higher score showing more severe depressive symptoms. Comparing the highest to lowest DII quartiles, the mean score difference for depression was 0.47 units (95% CI 0.24-0.70, P-trend <.001) in the multivariable adjusted model. In the sex-stratified models, the results remained significant only among females, with the mean score difference of 0.72 (95% CI 0.34-1.10, P-trend <.001). CRP mediated 3.6% of the association between DII and depression in the total population in the fully adjusted model, which was statistically significant (P-trend <.001) but not clinically significant. No mediation association was found in the sex-stratified models. Further studies are needed to assess the associations with various inflammatory biomarkers in larger and more diverse populations.

Women with Abnormal Mammographic Findings and High Neutrophil-to-Lymphocyte Ratio have the Worst Dietary Carbohydrate Quality Index

INTRODUCTION

There are gaps in knowledge in breast cancer prevention studies focusing on interactions among mammographic findings, inflammation, and diet, especially those related to carbohydrates.

OBJECTIVE

We aimed to verify the association among mammographic findings, inflammatory markers, and carbohydrate quality index (CQI) in women.

METHODOLOGY

This was a cross-sectional study of 532 women assisted in a healthcare service. The enrolled women were divided into two groups according to their mammographic findings: those without and those with abnormal mammographic findings. Two 24-hour dietary reminders were applied, and CQI was determined based on four components: fibers, glycemic index, ratio between whole and total grains, and ratio between solid and total carbohydrates. The neutrophil-to-lymphocyte ratio (NLR) was calculated as an inflammatory marker.

RESULTS

There were 178 (33.5%) women with abnormal mammographic findings, and 20 (3.8%) had NLR. There was no association between CQI and mammographic findings and NLR. Women with abnormal mammographic findings and high NLR had lower CQI (p = 0.039) and lower whole total ratio (p = 0.024).

CONCLUSION

Women with abnormal findings and high NLR had worse CQI and worse overall total grain ratio.

Diet scores and prediction of general and abdominal obesity in the Melbourne collaborative cohort study

OBJECTIVE

To ascertain which of the Alternative Healthy Eating Index (AHEI) 2010, Dietary Inflammatory Index (DII®) and Mediterranean Diet Score (MDS) best predicted BMI and waist-to-hip circumference ratio (WHR).

DESIGN

Body size was measured at baseline (1990-1994) and in 2003-2007. Diet was assessed at baseline using a FFQ, along with age, sex, socio-economic status, smoking, alcohol drinking, physical activity and country of birth. Regression coefficients and 95 % CI for the association of baseline dietary scores with follow-up BMI and WHR were generated using multivariable linear regression, adjusting for baseline body size, confounders and energy intake.

SETTING

Population-based cohort in Melbourne, Australia.

PARTICIPANTS

Included were data from 11 030 men and 16 774 women aged 40-69 years at baseline.

RESULTS

Median (IQR) follow-up was 11·6 (10·7-12·8) years. BMI and WHR at follow-up were associated with baseline DII® (Q5 v. Q1 (BMI 0·41, 95 % CI 0·21, 0·61) and WHR 0·009, 95 % CI 0·006, 0·013)) and AHEI (Q5 v. Q1 (BMI -0·51, 95 % CI -0·68, -0·35) and WHR -0·011, 95 % CI -0·013, -0·008)). WHR, but not BMI, at follow-up was associated with baseline MDS (Group 3 most Mediterranean v. G1 (BMI -0·05, 95 % CI -0·23, 0·13) and WHR -0·004, 95 % CI -0·007, -0·001)). Based on Akaike's Information Criterion and Bayesian Information Criterion statistics, AHEI was a stronger predictor of body size than the other diet scores.

CONCLUSIONS

Poor quality or pro-inflammatory diets predicted overall and central obesity. The AHEI may provide the best way to assess the obesogenic potential of diet.

Association of the inflammatory potential of diet and lower urinary tract symptoms among men in the United States

BACKGROUND

Inflammation is crucial in the pathogenesis of lower urinary tract symptoms (LUTS) in men. Diet modulates inflammation. Therefore, diet could be a modifiable factor in male LUTS prevention and treatment. We aimed to investigate the association between dietary inflammatory potential and male LUTS.

METHODS

We used two cycles of National Health and Nutrition Examination Survey (NHANES) with self-report LUTS data. We calculated the dietary inflammatory index (DII) based on a 24 h diet recall and evaluated male LUTS. Clinical LUTS was defined as two or more coexisting symptoms. We used univariate and multivariate logistic regression models, the smooth curve fitting to analyze the relationship between clinical LUTS and the DII score. Subgroup analyses were conducted.

RESULTS

We observed a positive non-linear relationship between clinical LUTS and DII. We found that when DII was higher than the inflection point 2.39, a 1-unit increase in DII was associated with 26.1% higher adjusted odds of clinical LUTS. Subgroup analyses showed that the DII score was only positively correlated with clinical LUTS risk in non-drinkers, smokers, and non-obese people (DII >2.39).

CONCLUSIONS

Inflammation might be the key mechanism bridging dietary consumption to male LUTS. Excessive pro-inflammatory food intake (DII >2.39) warrants special vigilance, especially for non-drinkers, smokers, and non-obese men.

Association between Diet Quality Indices and Incidence of Type 2 Diabetes in the Melbourne Collaborative Cohort Study

Type 2 diabetes mellitus is a common condition whose incidence is increasing worldwide, and for which obesity and diet are important risk factors. The aim of this study was to assess the association of three diet quality scores with diabetes risk and how much of the association was mediated through body size. The Melbourne Collaborative Cohort Study recruited 41,513 men and women aged 40-69 years during 1990-1994. At baseline, data were collected on lifestyle and diet, anthropometric measures were performed. Incident diabetes was assessed by self-report at follow-up surveys in 1994-1998 and 2003-2007. The associations between the dietary inflammatory index (DII^®), Mediterranean Diet Score (MDS) and the Alternative Healthy Eating Index-2010 and incident diabetes were assessed using Poisson regression, adjusting for age, sex, physical activity, smoking, alcohol consumption, socio-economic status (area based) and family history of diabetes. Data from 39,185 participants were included in the analysis and 1989 cases of diabetes were identified. Both DII and AHEI-2010 were associated with diabetes incidence, but MDS was not. In the top quintile of DII (most pro-inflammatory) vs. the least inflammatory quintile IRR was 1.49 95% CI (1.30, 1.72), p trend across quintiles <0.001. For AHEI-2010 the IRR was 0.67 (0.58, 0.78), p trend <0.001 for the healthiest vs. the least healthy quintile. Mediation analysis indicated that body size (body mass index/waist to hip ratio) mediated 35-48% of the association with incident diabetes for the AHEI and DII. Healthier diets may reduce risk of diabetes both by reducing weight gain and other mechanisms such as reducing inflammation.

A new mathematical approach to improve the original dietary inflammatory index (DII) calculation

Accumulating evidence links dietary intake to inflammatory processes involved in non-communicable disease (NCD) development. The dietary inflammatory index (DII) designed by Shivappa et al. has been shown to capture the inflammatory potential of dietary behavior in a large number of epidemiological studies. Thus, the DII may serve as future tool to assess someone's nutritional inflammatory capacities and hence, the individual risks for NCD development later in life. The calculation method of the DII, however, can benefit from alternative mathematical steps, particularly regarding the transformation from standardized daily food consumption to percentile scores. Here, we provide novel approaches, the scaling-formula (SF) and scaling-formula with outlier detection (SFOD) methods, with the aim to optimize the DII calculation method proposed by Shivappa and colleagues. We illustrate on simulated data specific limitations of the original DII calculation and show the benefits of the SF/SFOD by using simulated data and data from the prospective TEENDIAB study cohort, which supports the application of SF/SFOD in future epidemiological and clinical studies.

The Association Between Dietary Inflammatory Potential and Sex Hormones in Male Children and Adolescents Aged 6-19 Years

Aims

This study aimed to assess the relationship between dietary inflammatory index (DII) and sex hormones in male children and adolescents aged 6-19 years.

Methods

We obtained data from the 2013-2016 National Health and Nutrition Examination Survey (NHANES). Male participants aged 6-19 years old with the complete data of DII and sex hormones were included. Weighted multiple regression analysis and subgroup analysis were preformed to estimate the independent relationship between DII and sex hormones.

Results

A total of 1717 male participants with the average age of 13.02 ± 3.82 years were enrolled, of whom 41.3% (n=713) were children and 58.47% (n=1004) were adolescents. In children, mean DII was 0.18 ± 1.67, with scores ranging from -4.53 to 4.08. As for adolescents, the mean DII was 0.36 ± 1.98, mean total testosterone (TT) was 376.94 ± 206.69 ng/dl overall. A negative association between DII with TT and estradiol (E2) was observed (TT: β=-11.97, P=0.0006; E2: β=-0.45, P=0.0108) in male adolescent. Subgroup analysis and interaction test results indicated that this association was similar in male adolescents with different body mass index. No statistically significant association was observed in children.

Conclusions

Pro-inflammatory diet was associated with lower TT and E2 level in male adolescent, while no association with statistical significance between them was observed in male children. However, more studies are still needed to validate the causal relationship between DII and sex hormones.

Elevated Dietary Inflammation Among Supplemental Nutrition Assistance Program Recipients Provides Targets for Precision Public Health Intervention

INTRODUCTION

The Supplemental Nutrition Assistance Program was designed to prevent food insecurity among low-income Americans and has been linked to improvements in pregnancy health, long-term child development, and criminal recidivism. However, the pursuit of food security does not ensure nutritional sufficiency, and the program has not improved diet quality or cardiometabolic mortality (i.e., heart disease, stroke, diabetes). In this study, longitudinal cohort data are used to identify by Supplemental Nutrition Assistance Program status the proinflammatory characteristics that predispose to chronic disease.

METHODS

Between 2015 and 2018, annual 24-hour dietary recalls were conducted with 409 residents from low-income, urban neighborhoods in Columbus and Cleveland, Ohio (statistical analysis started in 2019). The Dietary Inflammatory Index was calculated. It provides empirically validated estimates of the internal inflammation that each diet should produce; higher Dietary Inflammatory Index scores have been associated with elevated inflammatory biomarkers. Finally, associations between Supplemental Nutrition Assistance Program and Dietary Inflammatory Index were evaluated, and dietary components that differed by Supplemental Nutrition Assistance Program status were identified.

RESULTS

Supplemental Nutrition Assistance Program recipients had higher Dietary Inflammatory Index scores (+0.40, 95% CI=0.09, 0.70) and a consistently lower intake of 4 anti-inflammatory nutrients (dietary fiber, β-carotene, magnesium, vitamin E) than nonrecipients. Vitamin D intake did not differ by Supplemental Nutrition Assistance Program status but was well below the Recommended Daily Allowance in this sample.

CONCLUSIONS

Supplemental Nutrition Assistance Program recipients had elevated Dietary Inflammatory Index scores, implying higher diet-driven inflammation. This was due, in part, to low intake of 4 anti-inflammatory food components, which were higher yet still nutritionally insufficient among nonrecipients. Findings highlight specific nutritional targets for improving public health through dietary change.

Factors associated with the inflammatory potential of the Brazilian population's diet

The aim of the study was to assess the inflammatory potential of the Brazilian population's diet and its association with demographic, socio-economic and anthropometric characteristics. A cross-sectional study was performed with 34 003 individuals aged 10 years and older, evaluated by the National Diet and Nutrition Survey from the Consumer Expenditure Survey (POF 2008-2009). The Energy-adjusted Dietary Inflammatory Index (E-DII™) was determined using thirty-four dietary parameters calculated through non-consecutive 2-d dietary records. Positive scores indicate a pro-inflammatory diet, while negative scores indicate an anti-inflammatory diet. A bivariate and multivariate linear regression analysis based on a hierarchical theoretical model was performed to verify the factors associated with the E-DII. The mean of the E-DII was 1·04 (range of -4·77 to +5·98). The highest values of the pro-inflammatory E-DII were found among adolescents (1·42; P < 0·001) and individuals with higher income (1·10; P < 0·001) and level of education (1·18; P < 0·001). In the final model, the E-DII was associated with higher income quartiles and was higher in the Northeast and South regions, in white people, individuals with ≥9 years of education and adults and adolescents age group. The Brazilian population consumes a diet with high inflammatory potential, especially adolescents, white people and those with higher income and level of education. Thus, the index presented uneven distribution among the population, emphasising groups with higher dietary inflammatory potential. The socio-economic risk profile of a diet with higher inflammatory potential in medium-income countries is different from what is observed in high-income nations.

Inflammation as a diagnostic criterion in the GLIM definition of malnutrition-what CRP-threshold relates to reduced food intake in older patients with acute disease?

Background/objectives

In the recently introduced GLIM diagnosis of malnutrition (Global Leadership Initiative on Malnutrition), details of how to classify inflammation as an etiologic criterion are lacking. This study aimed to determine at what level of serum C-reactive protein (CRP) the risk of low food intake increases in acutely ill older hospitalized patients.

Subjects/methods

A total of 377 patients, who were consecutively admitted to a geriatric acute care ward, were analyzed. Nutritional intake was determined using the food intake item of Nutritional Risk Screening and the plate diagram method and patients were grouped into three categories as >75%, 50–75% and ≤50% of requirements. CRP was analyzed according to standard procedures and patients were classified into different CRP groups as follows: 0.0–0.99 mg/dl, 1.0–1.99 mg/dl, 2.0–2.99 mg/dl, 3.0–4.99 mg/dl, 5.0–9.99 mg/dl and ≥10.0 mg/dl.

Results

Of the total population (mean age of 82.2 ± 6.6 years; 241 females), 82 (22%) had intake <50% of requirements and 126 (33%) demonstrated moderate to severe inflammation. Patients with food intake <50% of requirements had a significantly higher median CRP level compared to patients with food intake >75% of requirements (P < 0.001). The group with serum-CRP levels above 3.0 mg/dl had a markedly higher proportion of patients with low food intake; i.e., <50% and <75% of the requirements.

Conclusion

A serum-CRP of 3.0 mg/dl appears to be a reasonable threshold of acute inflammation leading to reduced food intake to serve as an orientation with regard to the inflammation criterion of the GLIM diagnosis in acutely ill older patients.

Healthy Behaviors Associated with Changes in Mental and Physical Strength in Urban African American and White Adults

Over time, adherence to healthy behaviors may improve physical and mental strength which is essential for successful aging. A plausible mechanism is the reduction of inflammation. Research on the association of risky health behaviors on change in strength with age is limited. This study examined changes in the inflammatory potential of the diet, smoking, illicit drug use with changes in strength in a racially and socioeconomically diverse adult sample from the Healthy Aging in Neighborhoods of Diversity Across the Life Span study. The dietary inflammatory index (DII) was calculated from 35 food components derived from multiple 24-h dietary recalls. Strength was evaluated by handgrip strength (HGS), SF-12 PCS and SF-12 MCS (physical and mental component scores). Repeated measures analyses were used to examine associations. At baseline, mean age was 48.4 ± 0.25 years, 56% of the sample were women, and 58% African American. Significant 4-way interactions were found between age, race, socioeconomic status, and DII for women, on change in HGS (p < 0.05) and in SF-12 PCS (p < 0.05) and for men, in change in SF-12 PCS (p < 0.05). Improvements in SF-12 MCS were associated with all three health behaviors as main effects. This study provided evidence that changes towards improving healthy behaviors, diet with anti-inflammatory potential, not smoking cigarettes and not using illicit drugs, were associated with improved strength. Health professionals, especially registered dietitians and health coaches, should create lifestyle interventions to reduce inflammation targeting change in more than one risky health behavior.

Diet-Related Inflammation is Associated with Major Depressive Disorder in Bahraini Adults: Results of a Case-Control Study Using the Dietary Inflammatory Index

PURPOSE

This case-control study aimed to examine the association between the inflammation potential of the diet and depression.

PATIENTS AND METHODS

Ninety-six patients with major depression disorder were matched with 96 age- and sex-matched healthy controls. Energy-adjusted DII (E-DIITM) scores were calculated based on the participants' responses to a detailed nutritional assessment using a quantitative food frequency questionnaire. Descriptive results were reported. Logistic regression was used to estimate odds ratios and 95% confidence intervals associated with E-DII scores and depression adjusting for covariates including age, sex, body mass index, comorbidities, level of education, and employment.

RESULTS

The mean E-DII score of participants in the study was 1.32±1.08, indicating a generally pro-inflammatory diet. Patients with depression had elevated E-DII scores compared to age- and sex-matched controls with E-DII scores of 1.72± 1.09 vs 0.90±0.90, respectively (P=0.001). Results of logistic regression analysis revealed that patients with depression were nearly three times more likely to be in the extreme ends of pro-inflammatory diet (OR 2.75; 95% CI 1.82-4.15).

CONCLUSION

Adult Bahraini patients with depression have higher dietary inflammation potential compared to the general population controls. Further research is needed to confirm these results and provide effective interventions to reduce the burden of this dietary inflammation.

The Dietary Inflammatory Index Is Associated with Low Muscle Mass and Low Muscle Function in Older Australians

Age-associated chronic, low grade systemic inflammation has been recognised as an important contributing factor in the development of sarcopenia; importantly, diet may regulate this process. This cross-sectional study examined the association of diet-related inflammation with components of sarcopenia. Participants (n = 809) aged 60–95 years from the Geelong Osteoporosis Study were studied. Body composition was measured by dual energy X-ray absorptiometry. In this study, low appendicular lean mass (ALM/height², kg/m²) was defined as T-score < −1 and low muscle function as Timed-Up-and-Go >10 s over 3 m (TUG > 10). Dietary inflammatory index (DII^®) scores, based on specific foods and nutrients, were computed using dietary data collected from a food frequency questionnaire. Associations between DII scores and low muscle mass and low muscle function, alone and combined, were determined using linear and logistic regression. After adjusting for covariates, higher DII score was associated with lower ALM/height² (β −0.05, standard error (SE) 0.02, p = 0.028), and higher natural log-transformed (ln) (TUG) (β 0.02, standard error 0.01, p = 0.035) and higher likelihood for these components combined (odds ratio 1.33, 95% confidence interval 1.05 to 1.69, p = 0.015). A pro-inflammatory diet, as indicated by higher DII score, is associated with lower muscle mass, poorer muscle function and increased likelihood for the combination of low muscle mass and low muscle function. Further studies investigating whether anti-inflammatory dietary interventions could reduce the risk of sarcopenia are needed.

Dietary inflammatory potential in relation to the gut microbiome: results from a cross-sectional study

Diet has direct and indirect effects on health through inflammation and the gut microbiome. We investigated total dietary inflammatory potential via the literature-derived index (Dietary Inflammatory Index (DII®)) with gut microbiota diversity, composition and function. In cancer-free patient volunteers initially approached at colonoscopy and healthy volunteers recruited from the medical centre community, we assessed 16S ribosomal DNA in all subjects who provided dietary assessments and stool samples (n 101) and the gut metagenome in a subset of patients with residual fasting blood samples (n 34). Associations of energy-adjusted DII scores with microbial diversity and composition were examined using linear regression, permutational multivariate ANOVA and linear discriminant analysis. Spearman correlation was used to evaluate associations of species and pathways with DII and circulating inflammatory markers. Across DII levels, α- and β-diversity did not significantly differ; however, Ruminococcus torques, Eubacterium nodatum, Acidaminococcus intestini and Clostridium leptum were more abundant in the most pro-inflammatory diet group, while Akkermansia muciniphila was enriched in the most anti-inflammatory diet group. With adjustment for age and BMI, R. torques, E. nodatum and A. intestini remained significantly associated with a more pro-inflammatory diet. In the metagenomic and fasting blood subset, A. intestini was correlated with circulating plasminogen activator inhibitor-1, a pro-inflammatory marker (rho = 0·40), but no associations remained significant upon correction for multiple testing. An index reflecting overall inflammatory potential of the diet was associated with specific microbes, but not overall diversity of the gut microbiome in our study. Findings from this preliminary study warrant further research in larger samples and prospective cohorts.

Associations between dietary inflammatory index and sleep problems among adults in the United States, NHANES 2005-2016

OBJECTIVES

To examine the associations between Dietary Inflammatory Index (DII) scores and sleep measures of sleep duration and self-reported sleep disturbance.

DESIGN

Cross-sectional study.

SETTING

The United States.

PARTICIPANTS

Participants from the 2005-2016 National Health and Nutrition Examination Survey (NHANES) who were 20 years old or older (n = 30,121).

MEASUREMENTS

Sleep duration, classified as short (≤6 hours), long (≥9 hours) and recommended (6-9 hours) duration, and the presence of self-reported sleep disturbance were the outcome variables. The energy-adjusted DII (E-DII) was computed based on the dietary intake data using a single-day 24-hour dietary recall. Multinomial logistic regression was used to examine the associations.

RESULTS

After adjusting for confounders, participants in the highest quintile (most proinflammatory E-DII) had a 40% increase in the odds of short sleep duration compared to the lowest quintile (most anti-inflammatory E-DII)(OR_quintile5vs1 = 1.40 [95% confidence interval {CI}, 1.21, 1.61]). The odds of short sleep duration was increased by 26% in quintile 4 compared to quintile 1 (OR _quintile4vs1 = 1.26 [95% CI, 1.10, 1.43]). Similarly, the odds of long sleep duration was increased in higher E-DII quintiles (OR_quintile5vs1 = 1.23 [95% CI, 1.03, 1.46] and OR_quintile4vs1 = 1.24 [95% CI, 1.03, 1.49]). Participants in the highest E-DII quintile also were more likely to report sleep disturbances (OR_quintile5vs1 = 1.14 [95% CI, 1.02, 1.27]).

CONCLUSIONS

Adults consuming proinflammatory diets were more likely to have short sleep duration, long sleep duration, and/or self-reported sleep disturbances. Future, especially longitudinal, studies need to examine the impact of anti-inflammatory diets in mitigating extreme sleep durations and sleep disturbances.

Inflammatory potential of diet and risk of incident knee osteoarthritis: a prospective cohort study

Background

To examine the relation between inflammatory potential of diet and incident knee osteoarthritis (OA) and the role of BMI in the association of interest.

Methods

In the Osteoarthritis Initiative, the energy-adjusted dietary inflammatory index (E-DII™) scores were calculated based on the Block Brief 2000 Food Frequency Questionnaire and categorized into sex-specific quartiles. Outcomes were incident (1) radiographic knee OA (ROA) (i.e., a KL grade ≥ 2) and (2) symptomatic knee OA (SxOA) (i.e., a combination of frequent knee pain and ROA). We fitted generalized estimating equation models to examine the association between E-DII scores and incident knee OA. We performed mediation analyses to assess the potential mediation by BMI in the DII-OA relation.

Results

Over a 48-month follow-up period, 232 and 978 knees developed ROA and SxOA, respectively. Compared with the lowest (most anti-inflammatory) E-DII quartile, the odds ratio (OR) of incident ROA for the highest (most pro-inflammatory) E-DII quartile was 1.73 (95% confidence interval (CI) 1.15 to 2.62, P_trend = 0.007). The corresponding OR for SxOA was 1.43 (95% CI 1.16 to 1.76, P_trend = 0.001). The DII-OA association was significantly mediated via BMI with an indirect effect of 1.08 (95% CI 1.04, 1.13) for ROA and 1.13 (95% CI 1.09, 1.16) for SxOA, accounting for 20.4% and 44.5% of the total effect, respectively.

Conclusions

A higher inflammatory potential of diet increased the risk of knee OA. The association was significantly mediated via BMI. Targeting the inflammatory potential of diet may be beneficial to reduce the risk of knee OA.

Deep frying cooking oils promote the high risk of metastases in the breast-A critical review

Deep-frying is the most common food preparation method, manifestations of color, taste, flavor, and fried consistency. The beneficial role of vegetable oils become deteriorate when repeatedly treated with higher temperature and air. Repeatedly heated cooking oils (RCO) produce various byproducts, containing polycyclic aromatic hydrocarbons (PAHs) and aldehydes, well-known to be a carcinogenic, mutagenic, and tumorigenic properties. RCO is nowadays one of the often consumed media for cooking and frying, which intake can cause various unhealthy adverse effects including various cancer in the multiple organs. Hence, the present comprehensive study targets to provide the intake of RCO elevate the risks of human breast cancer. The data on RCO and its impacts were obtained via various electronic findings and library databases. Notable studies have confirmed that the effects of RCO have been attributed to their unfavorable effects, and underlying molecular mechanisms can also strongly promoting tumorigenic effects in the mammary organ.

Examining Regional Differences of Dietary Inflammatory Index and Its Association with Depression and Depressive Symptoms in Korean Adults

The relationship between the dietary inflammatory index (DII^®) and depression and depressive symptoms in South Korean adults remains unclear. This study aimed to examine the overall relationship between the DII and depression in South Korea and to evaluate the association between the DII and depressive symptoms and depression across regions among Korean adults aged ≥19 years. A total of 15,929 study participants were selected from the Korea National Health and Nutrition Examination Survey (KNHANES) 2014–2017. Energy-adjusted (E-DII) scores were calculated using 24-h dietary recall data. Depression and depressive symptoms were measured on the basis of the Korean version of the Patient Health Questionnaire 9-item scale, a doctor’s diagnosis of depression, and self-reported depressive symptom-related questionnaire. Overall, 4.2% of the participants had depression, with notable gender differences (i.e., 2.4% in men and 6.2% in women). Korean adults residing in the Capital area, Chungcheong-do and Jeju-do, and with diets in the highest tertile of the E-DII (most pro-inflammatory diet) had significantly increased odds of having depression and depressive symptoms compared with those in the lowest tertile of the E-DII (most anti-inflammatory diet) after controlling for covariates (adjusted odds ratio (AOR): 1.44, 95% confidence interval (CI): 1.04–1.99; AOR 2.97, 95% CI 1.36–6.52; AOR 4.06, 95% CI 1.56–10.53, respectively). No association between the E-DII and depression/depressive symptoms was found in other regions of South Korea. A pro-inflammatory diet is associated with greater odds of depression and depressive symptoms, with distinct regional differences. The present study provides evidence regarding existing regional differences in the association of the E-DII with depression and depressive symptoms.