Diet scores and prediction of general and abdominal obesity in the Melbourne Collaborative Cohort Study.

2021 ◽  
pp. 1-29
Author(s):  
Allison M Hodge ◽  
Md Nazmul Karim ◽  
James R Hébert ◽  
Nitin Shivappa ◽  
Roger L Milne ◽  
...  
Keyword(s):  
Body Size ◽  
Information Criterion ◽  
Population Based ◽  
Poor Quality ◽  
Healthy Eating Index ◽  
Inflammatory Index ◽  
Alternative Healthy Eating Index ◽  
Melbourne Collaborative Cohort Study ◽  
Group 3

Abstract Objective To ascertain which of the Alternative Healthy Eating Index 2010 (AHEI), Dietary Inflammatory Index (DII®) and Mediterranean Diet Score (MDS) best predicted body mass index (BMI) and waist-to-hip circumference ratio (WHR). Design Body size was measured at baseline (1990-94) and in 2003-7. Diet was assessed at baseline using a food frequency questionnaire, along with age, sex, socioeconomic status, smoking, alcohol drinking, physical activity, and country of birth. Regression coefficients and 95% confidence intervals 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 to 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 vs Q1 (BMI 0.41 95%CI (0.21, 0.61) and WHR 0.009 95%CI (0.006, 0.013)), and AHEI (Q5 vs 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 vs 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. Conclusion 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.

scholarly journals Association between overall diet quality and postmenopausal breast cancer risk in five Finnish cohort studies

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Satu Männistö ◽  
Kennet Harald ◽  
Tommi Härkänen ◽  
Mirkka Maukonen ◽  
Johan G. Eriksson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Diet Quality ◽  
Proportional Hazards ◽  
Postmenopausal Breast Cancer ◽  
Healthy Eating Index ◽  
Cox Proportional Hazards ◽  
Healthy Diet ◽  
Food Culture ◽  
Alternative Healthy Eating Index

AbstractThere is limited evidence for any dietary factor, except alcohol, in breast cancer (BC) risk. Therefore, studies on a whole diet, using diet quality indices, can broaden our insight. We examined associations of the Nordic Diet (mNDI), Mediterranean diet (mMEDI) and Alternative Healthy Eating Index (mAHEI) with postmenopausal BC risk. Five Finnish cohorts were combined including 6374 postmenopausal women with dietary information. In all, 8–9 dietary components were aggregated in each index, higher total score indicating higher adherence to a healthy diet. Cox proportional hazards regression was used to estimate the combined hazard ratio (HR) and 95% confidence interval (CI) for BC risk. During an average 10-year follow-up period, 274 incident postmenopausal BC cases were diagnosed. In multivariable models, the HR for highest vs. lowest quintile of index was 0.67 (95 %CI 0.48–1.01) for mNDI, 0.88 (0.59–1.30) for mMEDI and 0.89 (0.60–1.32) for mAHEI. In this combined dataset, a borderline preventive finding of high adherence to mNDI on postmenopausal BC risk was found. Of the indices, mNDI was more based on the local food culture than the others. Although a healthy diet has beneficially been related to several chronic diseases, the link with the etiology of postmenopausal BC does not seem to be that obvious.

scholarly journals Dietary Inflammatory Index is associated with Healthy Eating Index, Alternative Healthy Eating Index, and dietary patterns among Iranian adults

2020 ◽  
Vol 34 (12) ◽  
Author(s):  
Zahra Asadi ◽  
Roshanak Ghaffarian Zirak ◽  
Mahdiyeh Yaghooti Khorasani ◽  
Mostafa Saedi ◽  
Seyed Mostafa Parizadeh ◽  
...  
Keyword(s):  
Healthy Eating ◽  
Dietary Patterns ◽  
Healthy Eating Index ◽  
Dietary Inflammatory Index ◽  
Inflammatory Index ◽  
Alternative Healthy Eating Index

scholarly journals Alternative Healthy Eating Index 2010, Dietary Inflammatory Index and risk of mortality: results from the Whitehall II cohort study and meta-analysis of previous Dietary Inflammatory Index and mortality studies

2017 ◽  
Vol 118 (3) ◽  
pp. 210-221 ◽  
Author(s):  
Nitin Shivappa ◽  
James R. Hebert ◽  
Mika Kivimaki ◽  
Tasnime Akbaraly
Keyword(s):  
Healthy Eating ◽  
Mortality Risk ◽  
Cancer Mortality ◽  
Meta Analysis ◽  
Healthy Eating Index ◽  
Dietary Inflammatory Index ◽  
Inflammatory Index ◽  
Risk Of Mortality ◽  
Alternative Healthy Eating Index ◽  
Cancer Mortality Risk

AbstractWe aimed to examine the association between the Alternative Healthy Eating Index updated in 2010 (AHEI-2010), the Dietary Inflammatory Index (DIITM) and risk of mortality in the Whitehall II study. We also conducted a meta-analysis on the DII-based results from previous studies to summarise the overall evidence. Data on dietary behaviour assessed by self-administered repeated FFQ and on mortality status were available for 7627 participants from the Whitehall II cohort. Cox proportional hazards regression models were performed to assess the association between cumulative average of AHEI-2010 and DII scores and mortality risk. During 22 years of follow-up, 1001 participants died (450 from cancer, 264 from CVD). Both AHEI-2010 (mean=48·7 (sd10·0)) and DII (mean=0·37 (sd1·41)) were associated with all-cause mortality. The fully adjusted hazard ratio (HR) persd, were 0·82; 95 % CI 0·76, 0·88 for AHEI-2010 and 1·18; 95 % CI 1·08, 1·29 for DII. Significant associations were also observed with cardiovascular and cancer mortality risk. For DII, a meta-analysis (using fixed effects) from this and four previous studies showed a positive association of DII score with all-cause (HR=1·04; 95 % CI 1·03, 1·05, 28 891deaths), cardiovascular (HR=1·05; 95 % CI 1·03, 1·07, 10 424 deaths) and cancer mortality (HR=1·05; 95 % CI 1·03, 1·07,n8269).The present study confirms the validity to assess overall diet through AHEI-2010 and DII in the Whitehall II cohort and highlights the importance of considering diet indices related to inflammation when evaluating all-cause, cardiovascular and cancer mortality risk.

scholarly journals The Dietary Inflammatory Index® and Alternative Healthy Eating Index 2010 in relation to leucocyte telomere length in postmenopausal women: a cross-sectional study

2019 ◽  
Vol 8 ◽  
Author(s):  
A. T. Mickle ◽  
D. R. Brenner ◽  
T. Beattie ◽  
T. Williamson ◽  
K. S. Courneya ◽  
...  
Keyword(s):  
Physical Activity ◽  
Telomere Length ◽  
Healthy Eating ◽  
Healthy Eating Index ◽  
Dietary Inflammatory Index ◽  
Cross Sectional ◽  
Attrition Rates ◽  
Telomere Attrition ◽  
Inflammatory Index ◽  
Alternative Healthy Eating Index

Abstract Telomeres are nucleoprotein complexes that form the ends of eukaryotic chromosomes where they protect DNA from genomic instability, prevent end-to-end fusion and limit cellular replicative capabilities. Increased telomere attrition rates, and relatively shorter telomere length, is associated with genomic instability and has been linked with several chronic diseases, malignancies and reduced longevity. Telomeric DNA is highly susceptible to oxidative damage and dietary habits may make an impact on telomere attrition rates through the mediation of oxidative stress and chronic inflammation. The aim of this study was to examine the association between leucocyte telomere length (LTL) with both the Dietary Inflammatory Index® 2014 (DII®) and the Alternative Healthy Eating Index 2010 (AHEI-2010). This is a cross-sectional analysis using baseline data from 263 postmenopausal women from the Alberta Physical Activity and Breast Cancer Prevention (ALPHA) Trial, in Calgary and Edmonton, Alberta, Canada. No statistically significant association was detected between LTL z-score and the AHEI-2010 (P = 0·20) or DII® (P = 0·91) in multivariable adjusted models. An exploratory analysis of AHEI-2010 and DII® parameters and LTL revealed anthocyanidin intake was associated with LTL (P < 0·01); however, this association was non-significant after a Bonferroni correction was applied (P = 0·27). No effect modification by age, smoking history, or recreational physical activity was detected for either relationship. Increased dietary antioxidant and decreased oxidant intake were not associated with LTL in this analysis.

scholarly journals Positive Association of Dietary Inflammatory Index with Incidence of Cardiovascular Disease: Findings from a Korean Population-Based Prospective Study

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 588
Author(s):  
Imran Khan ◽  
Minji Kwon ◽  
Nitin Shivappa ◽  
James R. Hébert ◽  
Mi Kyung Kim
Keyword(s):  
Cardiovascular Disease ◽  
Positive Association ◽  
Population Based ◽  
Proportional Hazard ◽  
Dietary Inflammatory Index ◽  
Cvd Risk ◽  
Inflammatory Index ◽  
Cox Proportional Hazard ◽  
Increased Risk

Recently, diets with higher inflammatory potentials based on the dietary inflammatory index (DII®) have been shown to be associated with increased cardiovascular disease (CVD) risk in the general population. We aimed to prospectively investigate the association between the DII and CVD risk in the large Korean Genome and Epidemiology Study_Health Examination (KoGES_HEXA) cohort comprised of 162,773 participants (men 55,070; women 107,703). A validated semi-quantitative food frequency questionnaire (SQ-FFQ) was used to calculate the DII score. Statistical analyses were performed by using a multivariable Cox proportional hazard model. During the mean follow-up of 7.4 years, 1111 cases of CVD were diagnosed. Higher DII score was associated with increased risk of CVD in men (hazard ratio [HR]Quintile 5 vs. 1 1.43; 95% CI 1.04–1.96) and in women (HRQuintile 5 vs. 1 1.19; 95% CI 0.85–1.67), although not significant for women. The risk of CVD was significantly higher in physically inactive men (HRQuintile 5 vs. 1 1.80; 95% CI 1.03–3.12), obese men (HRQuintile 5 vs. 1 1.77; 95% CI 1.13–2.76) and men who smoked (HRQuintile 5 vs. 1 1.60; 95% CI 1.10–2.33), respectively. The risk of developing stroke was significantly higher for men (HRQuintile 5 vs. 1 2.06; 95% CI 1.07–3.98; p = 0.003), but not for women. A pro-inflammatory diet, as indicated by higher DII scores, was associated with increased risk of CVD and stroke among men.

scholarly journals Alternative Healthy Eating Index and mortality over 18 y of follow-up: results from the Whitehall II cohort

2011 ◽  
Vol 94 (1) ◽  
pp. 247-253 ◽  
Author(s):  
Tasnime N Akbaraly ◽  
Jane E Ferrie ◽  
Claudine Berr ◽  
Eric J Brunner ◽  
Jenny Head ◽  
...  
Keyword(s):  
Healthy Eating ◽  
Healthy Eating Index ◽  
Alternative Healthy Eating Index

scholarly journals Validation of a Web-Based Predictive Nomogram for Ipsilateral Breast Tumor Recurrence After Breast Conserving Therapy

2010 ◽  
Vol 28 (5) ◽  
pp. 718-722 ◽  
Author(s):  
Mona Sanghani ◽  
Pauline T. Truong ◽  
Rita Abi Raad ◽  
Andrzej Niemierko ◽  
Mary Lesperance ◽  
...  
Keyword(s):  
Ipsilateral Breast Tumor Recurrence ◽  
Breast Conserving Therapy ◽  
Population Based ◽  
Web Based ◽  
Group 4 ◽  
Version 2.0 ◽  
Group 3 ◽  
Group 2 ◽  
Group 1

PurposeIBTR! version 1.0 is a web-based tool that uses literature-derived relative risk ratios for seven clinicopathologic variables to predict ipsilateral breast tumor recurrence (IBTR) after breast-conserving therapy (BCT). Preliminary testing demonstrated over-estimation in high-risk subgroups. This study uses two independent population-based datasets to create and validate a modified nomogram, IBTR! version 2.0.MethodsCox regression modeling was performed on 7,811 patients treated with BCT at the British Columbia Cancer Agency (median follow-up, 9.4 years). Population-based hazard ratios were generated for the seven variables in the original nomogram. A modified nomogram was then tested against 664 patients from Massachusetts General Hospital (median follow-up, 9.3 years). The mean predicted and observed 10-year estimates were compared for the entire cohort and for four groups predefined by nomogram-predicted risks: group 1: less than 3%; group 2: 3% to 5%; group 3: 5% to 10%; and group 4: more than 10%.ResultsIBTR! version 2.0 predicted an overall 10-year IBTR estimate of 4.0% (95% CI, 3.8 to 4.2), while the observed estimate was 2.8% (95% CI, 1.6 to 4.7; P = .10). The predicted and observed IBTR estimates were: group 1 (n = 283): 2.2% versus 1.3%, P = .40; group 2 (n = 237): 3.8% versus 3.5%, P = .80; group 3 (n = 111): 6.7% versus 3.2%, P = .05; and group 4 (n = 33): 12.5% versus 8.7%, P = .50.ConclusionIBTR! version 2.0 is accurate in the majority of patients with a low to moderate risk of in-breast recurrence. The nomogram still overestimates risk in a minority of patients with higher risk features. Validation in a larger prospective data set is warranted.

scholarly journals Adaptation and Validation of Alternative Healthy Eating Index in Hemodialysis Patients (AHEI-HD) and Its Association with all-Cause Mortality: A Multi-Center Follow-Up Study

Nutrients ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1407 ◽  
Author(s):  
Tuyen Van Duong ◽  
I-Hsin Tseng ◽  
Te-Chih Wong ◽  
Hsi-Hsien Chen ◽  
Tso-Hsiao Chen ◽  
...  
Keyword(s):  
Healthy Eating ◽  
Diet Quality ◽  
Discriminant Validity ◽  
Hemodialysis Patients ◽  
Healthy Eating Index ◽  
Alternative Healthy Eating Index ◽  
All Cause Mortality ◽  
Dietary Records ◽  
A Prospective Study

A valid diet quality assessment scale has not been investigated in hemodialysis patients. We aimed to adapt and validate the alternative healthy eating index in hemodialysis patients (AHEI-HD), and investigate its associations with all-cause mortality. A prospective study was conducted on 370 hemodialysis patients from seven hospital-based dialysis centers. Dietary data (using three independent 24-hour dietary records), clinical and laboratory parameters were collected. The construct and criterion validity of original AHEI-2010 with 11 items and the AHEI-HD with 16 items were examined. Both scales showed reasonable item-scale correlations and satisfactory discriminant validity. The AHEI-HD demonstrated a weaker correlation with energy intake compared with AHEI-2010. Principle component analysis yielded the plateau scree plot line in AHEI-HD but not in AHEI-2010. In comparison with patients in lowest diet quality (tertile 1), those in highest diet quality (tertile 3) had significantly lower risk for death, with a hazard ratio (HR) and 95% confidence intervals (95%CI) of HR: 0.40; 95%CI: 0.18 – 0.90; p = 0.028, as measured by AHEI-2010, and HR: 0.37; 95%CI: 0.17–0.82; p = 0.014 as measured by AHEI-HD, respectively. In conclusion, AHEI-HD was shown to have greater advantages than AHEI-2010. AHEI-HD was suggested for assessments of diet quality in hemodialysis patients.

Abstract MP20: Dietary Quality and Mortality among Myocardial Infarction Survivors

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Shanshan Li ◽  
Stephanie E Chiuve ◽  
Alan Flint ◽  
Jennifer Pai ◽  
John Forman ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Healthy Eating ◽  
Cardiovascular Mortality ◽  
Disease Risk ◽  
The United States ◽  
Healthy Eating Index ◽  
Dietary Quality ◽  
Alternative Healthy Eating Index ◽  
All Cause Mortality

Background: Despite the increase in the prevalence of non-fatal Myocardial Infarction (MI) in the United States, evidence based recommendations for diet post-MI are limited and established primarily from studies of short duration. Objective: Using data from the Nurses’ Health Study and the Health Professional Follow-Up Study, we assessed dietary quality, measured by the recently developed Alternative Healthy Eating Index 2010 (AHEI2010), to evaluate diet post-MI and changes in diet from pre- to post-MI in relation to all-cause and cardiovascular mortality. Method and Results: We included 2,258 women and 1,840 men who were free of cardiovascular disease, stroke or cancer at the time of enrollment (1976 for women and 1986 for men), and survived a first MI during the follow up through 2008. Individuals were free of stroke at the time of initial MI onset, provided both pre-MI exposure information and at least one post-MI food frequency questionnaire (FFQ). During follow-up, we confirmed 682 all cause and 336 cardiovascular deaths for women, and 451 all cause and 222 cardiovascular deaths for men. The median survival time after initial MI was 8.7 years for women and 9.0 years for men. The Alternative Healthy Eating Index 2010 (AHEI2010) was developed based on a comprehensive review of the relevant literature to determine foods and nutrients most consistently associated with lower chronic disease risk and has the following 11 components: vegetables, fruits, nuts and legumes, red meat and processed meats, sugar-sweetened beverages, alcohol, polyunsaturated fat (no EPA or DHA), trans fat, omega-3 fat (EPA and DHA), whole grains and sodium intake. We used Cox proportional hazards models with time since initial MI onset as the underlying time scale and adjusted for medication use, medical history, and lifestyles factors. After pooling the results from both cohorts, the adjusted HR was 0.76 (95%CI: 0.60-0.96) for all-cause mortality and 0.74 (95%CI: 0.51-1.05) for cardiovascular mortality, between the highest and lowest quintile of the AHEI2010. A greater increase in AHEI2010 score from the pre- to post-MI period comparing Q5 (highest increase) vs. Q1 (lowest increase), was significantly associated with lower all-cause mortality (pooled HR= 0.71, 95%CI: 0.55-0.90) and cardiovascular mortality (pooled HR= 0.59, 95%CI: 0.41- 0.86). Conclusions: Our results suggest that post-MI patients who consume a higher quality diet, which has been associated with lower risk of CHD in primary prevention, have lower all-cause mortality. The current dietary recommendations for secondary prevention among MI patients need to be updated to reflect current scientific knowledge and to offer comprehensive advice on overall healthy diet quality.

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