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 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 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.

BMI, long-term changes in BMI, and risk of cancer mortality in a large cohort study.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1502-1502
Author(s):  
Niloofar Taghizadeh ◽  
Judith M. Vonk ◽  
H. Marike Boezen
Keyword(s):  
Breast Cancer ◽  
Prostate Cancer ◽  
Lung Cancer ◽  
Cohort Study ◽  
Mortality Risk ◽  
Cancer Mortality ◽  
Lung Cancer Mortality ◽  
Prostate Cancer Mortality ◽  
Risk Of Mortality ◽  
Cancer Mortality Risk

1502 Background: There are indications of an association between Body Mass Index (BMI) and risk of different cancer types. There is dispute whether this association differs between males and females. Methods: We studied the association of BMI at the first survey with risk of mortality from the most common types of cancer (lung, colorectal, breast and prostate cancer) in a large general population-based cohort study (Vlagtwedde-Vlaardingen, 1965-1990) with follow-up on mortality status until 2009. Additionally, we assessed this association based on tertiles of the annual change in BMI (defined as the difference between BMI at last survey and first survey divided by the time between last and first survey). We used 3 categories of BMI (< 25 kg/m2, 25-30 kg/m2, and ≥ 30 kg/m2) and changes in BMI (< 0.02 kg/m2/yr, 0.02-0.2 kg/m2/yr, and > 0.2 kg/m2/yr) in the analyses. The multivariate Cox regression model was adjusted for age, smoking, gender. Analyses were additionally stratified by gender and smoking. Results: Among all 8645 subjects, 1194 died due to cancer (lung cancer: 275; colorectal cancer: 134; breast cancer: 117; prostate cancer: 83). Mortality from all types of cancer was significantly increased in subjects with BMI > 30 kg/m2 (HR (95 % CI)) = 1.22 (1.00-1.48)), especially in females (1.38 (1.06-1.81)) and in never smokers (1.39 (1.02-1.90)). Prostate cancer mortality was significantly increased in males with BMI 25-30 kg/m2 (2.04 (1.90-3.83)) and > 30 kg/m2 (2.61 (1.02-6.67)). This association between prostate cancer mortality and BMI was higher in smokers. Lung cancer mortality risk was decreased in subjects with BMI 25-30 kg/m2 (0.71 (0.54-0.93)) and > 30 kg/m2 (0.82 (0.50-1.32)), especially in males, in smokers, and in smoking males. There were no significant associations between BMI and colorectal or breast cancer mortality nor between change in BMI and mortality from all analyzed types of cancer. Conclusions: We show that an increase in BMI is associated with an increased risk of mortality from all types of cancer in females and with an increased mortality risk from prostate cancer in males but with a decreased lung cancer mortality risk, especially in males. More research is needed into the biological mechanisms that link BMI to cancer.

Hs-CRP and all-cause, cardiovascular, and cancer mortality risk: A meta-analysis

2017 ◽  
Vol 259 ◽  
pp. 75-82 ◽  
Author(s):  
Yunwei Li ◽  
Xiaoming Zhong ◽  
Guanchang Cheng ◽  
Cuihua Zhao ◽  
Lei Zhang ◽  
...  
Keyword(s):  
Mortality Risk ◽  
Cancer Mortality ◽  
Meta Analysis ◽  
Hs Crp ◽  
Cancer Mortality Risk

scholarly journals Nut consumption on all-cause, cardiovascular, and cancer mortality risk: a systematic review and meta-analysis of epidemiologic studies

2015 ◽  
Vol 101 (4) ◽  
pp. 783-793 ◽  
Author(s):  
Giuseppe Grosso ◽  
Justin Yang ◽  
Stefano Marventano ◽  
Agnieszka Micek ◽  
Fabio Galvano ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mortality Risk ◽  
Cancer Mortality ◽  
Meta Analysis ◽  
Epidemiologic Studies ◽  
Cancer Mortality Risk

scholarly journals Birth size and cancer prognosis: a systematic review and meta-analysis

2019 ◽  
Vol 11 (4) ◽  
pp. 309-316
Author(s):  
Shantanu Sharma ◽  
Charu Kohli ◽  
Linda Johnson ◽  
Louise Bennet ◽  
Nele Brusselaers ◽  
...  
Keyword(s):  
Birth Weight ◽  
Mortality Risk ◽  
Cancer Mortality ◽  
Meta Analysis ◽  
Breast Cancer Mortality ◽  
Cancer Prognosis ◽  
Birth Length ◽  
Statistical Heterogeneity ◽  
Study Characteristics ◽  
Cancer Mortality Risk

AbstractThere is an established link between birth parameters and risk of adult-onset cancers. The Developmental Origins of Health and Disease concept provides potential underlying mechanisms for such associations, including intrauterine exposure to endogenous hormones (androgens and estrogens), insulin-like growth factors, etc. However, there is conflicting evidence on the association between birth parameters and the cancer mortality risk. Therefore, we aimed to review and analyse the available data on the association linking birth weight and birth length with cancer mortality. Eleven studies were identified, published until April 2019. A significant association between birth weight and the prognosis of cancer (overall) was found (relative risk, RR 1.06, 95% confidence interval, CI: 1.01, 1.11), with low heterogeneity (I2 = 27.7%). In addition, higher birth weight was associated with poorer prognosis of prostate cancer (RR 1.21, 95% CI: 1.02, 1.44). However, the association of birth weight with breast cancer mortality risk in women was not significant (RR 1.16, 95% CI: 0.93, 1.44), which might be due to high statistical heterogeneity (I2 = 67.9%). Birth length was not associated with cancer mortality risk (RR 1.0, 95% CI: 0.90–1.11). It might be inferred that birth parameters are not associated with cancer mortality as strongly as with the risk of developing cancer. Also, the association between birth parameters and cancer mortality risk is not uniform and varies according to its subtypes, and study characteristics/design. This highlights the need for further prospective studies.

Dietary inflammatory index and healthy eating index-2015 are associated with rheumatoid arthritis

2021 ◽  
pp. 1-21
Author(s):  
Sajedeh Jandari ◽  
Negin Mosalmanzadeh ◽  
Mohammad Reza Shadmand Foumani Moghadam ◽  
Davood Soleimani ◽  
Nitin Shivappa ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Healthy Eating ◽  
Diet Quality ◽  
Odds Ratio ◽  
Dietary Habits ◽  
Healthy Eating Index ◽  
Dietary Quality ◽  
Dietary Inflammatory Index ◽  
Convenience Sample ◽  
Inflammatory Index

ABSTRACT Objective: Many arthritic patients have the belief that dietary habits can worsen or ameliorate their symptoms. Whether diet quality can modify the risk of rheumatoid arthritis (RA) is an issue of continued scientific debate and interest. Therefore, we aimed to examine the association between both overall diet quality and the overall diet inflammatory potential on the risk of RA. Design: Overall diet quality and the overall inflammatory potential of the diet were evaluated with the use of Dietary Inflammatory Index (DII) and the Healthy Eating Index (HEI)-2015, respectively. Both DII and HEI-2015 scores were calculated based on a validated semi-quantitative Food Frequency Questionnaire (FFQ). Multivariable-adjusted odds of RA were calculated across tertiles of HEI, and Energy-adjusted DII (E-DII) scores using binary logistic regression. Setting: Mashhad, Iran Participants: 50 newly diagnosed RA cases and 100 well-matched healthy people controls. Results: Individuals in the highest tertile of DII scores, indicating the most pro-inflammatory diet, were about three times more likely to have RA than those in the lowest tertile (Odds Ratio: 2.99; 95%CI: 1.08 to 8.24; P-trend:0.037), whereas individuals in the highest tertile of HEI scores, indicating more top dietary quality, had a significantly lower odds of RA than those in the lowest tertile (Odds Ratio: 0.33; 95%CI: 0.12 to 0.87; P-trend:0.024). Conclusion: Our findings show that E-DII and HEI-2015 are positively and negatively associated, respectively, with the odds of RA in a convenience sample of Iranians. These results highlight the importance of overall diet quality in modulating the risk of RA.

scholarly journals Food intake, Healthy Eating Index and Dietary inflammatory index in patients with Psoriatic Arthritis

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Beatriz Leite ◽  
Melissa Morimoto ◽  
Patricia Genaro ◽  
Nitin Shivappa ◽  
James Hèbert ◽  
...  
Keyword(s):  
Psoriatic Arthritis ◽  
Food Intake ◽  
Healthy Eating ◽  
Healthy Eating Index ◽  
Dietary Reference Intake ◽  
Dietary Inflammatory Index ◽  
Food Record ◽  
Inflammatory Index ◽  
High Prevalence ◽  
Inflammatory Pattern

AbstractPsoriatic Arthritis (PsA) is a chronic inflammatory disease that are associated with multiple comorbidities, particularly metabolic syndrome (MetS), obesity, hypertension and diabetes. These findings brought up a potential link between adiposity and psoriasis/ PsA. Though a healthy diet could improve some aspects related to MetS, as well as painful joints and skin lesions in patients with PsA, the aim of this study is to describe the main particularities related to food intake and nutrient consumption, including the dietary inflammatory index (DII) and the healthy eating index (HEI), in patients with PsA. A total of 97 patients with PsA were included in this cross-sectional study. Food intake was evaluated by using a 3-day food-record, HEI and the DII. Energy was adjusted using the residual method in order to control the effects of energy intake when evaluating micronutrient intake. Weight, waist of circumference, Body Mass Index (BMI) and disease activity (PASI, BSA, BASDAI, DAS28-ESR, DAS28-CRP and MDA) were also evaluated. The inferential analysis included t-student test, Pearson's correlation and Tukey's test. Kolmogorov-Smirnov test was used to define normality. Level of significance was set as p < 0.05. Patients with PsA had hypercaloric diet and inadequate consumption of sodium, vitamin A, vitamin E, magnesium, zinc and copper when compared to Dietary Reference Intake. The HEI had low score (63.2 ± 10.2), suggesting that more than 90% of the patients had inappropriate diet and need nutritional intervention. Moreover, the DII score was high (+ 2.48 ± 0.9), highlighting a pro-inflammatory pattern. It was also observed an increase of BMI (mean 30.5 ± 5.7 kg/m2), waist circumference (103.13 ± 13.26 cm) and a high prevalence of MetS (54.6%). Our data showed patients with PsA had high prevalence of MetS, low quality of food intake, diet inadequacy and a pro-inflammatory pattern, especially regarding antioxidants intake.

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