Established diet quality indices are not universally associated with body composition in young adult women

2021 ◽  
pp. 1-24
Author(s):  
Sofija E. Zagarins ◽  
Alayne G. Ronnenberg ◽  
Elizabeth R. Bertone-Johnson

Abstract Objective: To determine which established diet quality indices best predict weight-related outcomes in young women. Design: In this cross-sectional analysis, we collected dietary information using the Harvard Food Frequency Questionnaire (FFQ), and measured body fat percentage (BF%) by duel-energy X-ray absorptiometry. We used FFQ data to derive five diet quality indices: Recommended Food Score (RFS), Healthy Eating Index 2015 (HEI-2015), Alternate Healthy Eating Index 2010 (AHEI-2010), alternate Mediterranean Diet Score (aMED), Healthy Plant-Based Diet Index (HPDI). Setting: University of Massachusetts at Amherst Participants: n=260 healthy women aged 18-30 Results: The AHEI-2010 and HPDI were associated with body mass index (BMI) and BF%, such that a 10-point increase in either diet score was associated with a 1.2 percentage-point lower BF% and a 0.5 kg/m2 lower BMI (P<0.05). Odds of excess body fat (i.e., BF%>32%) were 50% lower for those in the highest vs. lowest tertile of the AHEI-2010 (P=0.04). Neither the RFS nor HEI-2015 were associated with BMI or BF%; the aMED was associated with BMI but not BF%. Conclusions: These results suggest that diet quality tends to be inversely associated with BMI and BF% in young women, but that this association is not observed for all diet quality indices. Diet indices may have limited utility in populations where the specific healthful foods and food groups emphasized by the index are not widely consumed. Future research should aim to replicate these findings in longitudinal studies that compare body composition changes over time across diet indices in young women.

2018 ◽  
Author(s):  
Fang Fang Zhang

Dietary patterns capture the overall diet and its constituent foods and nutrients, representing a powerful approach to identifying the effect of nutrition on health and disease. In this review, we describe the two main approaches being used to characterize dietary patterns: a prior approach that defines dietary patterns using predefined diet quality indices, and a posterior approach that derives dietary patterns using factor or cluster analysis. Methods to define diet quality indices (Healthy Eating Index, Alternative Healthy Eating Index, Alternative Mediterranean Diet Score, Dietary Approaches to Stop Hypertension Score) are presented, and their similarities and differences are discussed among the different approaches. We review the recent evidence on the relationships between dietary patterns and cancer outcomes, including all-cancer incidence and mortality and the incidence of colorectal, breast, prostate, and lung cancers. Despite the different methods that are used to characterize dietary patterns in different studies, results consistently suggest that adherence to existing dietary guidelines is associated with a reduced risk of cancer incidence and mortality. Given the important role of dietary patterns in cancer prevention, clinicians need to consider providing appropriate nutrition counseling  to improve patients’ dietary patterns. Continuous efforts need to be devoted to better characterize the relationships between dietary patterns and cancer risk by studying specific cancer types, different cancer subtypes, and population subgroups, with a better approach that can accurately assess dietary patterns throughout the life cycle. This review contains 3 figures, 6 tables and 91 references Key words: Alternative Healthy Eating Index, breast cancer, cancer incidence, cancer mortality, cluster analysis, colorectal cancer, Dietary Approaches to Stop Hypertension, dietary patterns, diet quality index, factor analysis, Healthy Eating Index, lung cancer, Mediterranean Diet Score, prostate cancer, Recommended Food Score


2021 ◽  
Author(s):  
Zeinab Naeini ◽  
Negin Aghazadeh ◽  
Elmira Karimi ◽  
Zahra Esmaeily ◽  
Faezeh Abaj ◽  
...  

Abstract Background: Although many studies suggest an association between BDNF Val66Met with eating disorders and obesity especially in type 2 diabetes mellitus (T2DM), the interaction between BDNF Val66Met polymorphism and diet quality indices in diabetic patients have not been investigated yet. The current study was aimed to evaluate the interaction between the diet quality indices including Healthy Eating Index (HEI), Diet Quality Index-International (DQI-I), Phytochemical Index (PI) and BDNF Val66Mat (rs6265) polymorphism on markers of inflammation, and oxidative stress in T2DM patients.Methods: This current cross-sectional study was conducted on 634 Iranian T2DM patients aged 35–65 years of both genders were randomly recruited. Dietary intakes was estimated by a food frequency questionnaire (FFQ) with 148 food items. All participants were categorized into three categories, based on DQI, HEI, and PI scores. The interactions were tested using analysis of covariance (ANCOVA) in adjusted and unadjusted models.Results: There were significant gene-diet interactions between BDNF Val66Met polymorphism and HEI, DQI, and PI scores in modulating body mass index (BMI) and waist circumference (WC) values. Our results showed that higher scores for all diet-quality indices were significantly associated with a lower BMI and WC values after adjustment (P Interactions < 0.05). We also observed a significant interaction between the DQI scores and Val66Met polymorphism on level of superoxide dismutase (SOD) (p-interaction= 0.01). The highest quartile of DQI was associated with elevated level of SOD in the Val/Met and Met/Met genotype group. Moreover, the interaction between the DQI scores and Val66Met polymorphism on total antioxidant capacity (TAC) tended to be significant.Conclusions: Higher scores for all diet-quality indices were significantly associated with a lower BMI and WC values. There were significant differences for PTX and PGF2A among HEI tertiles. The interaction between the polymorphism and DQI on TAC and SOD levels were significant.


2021 ◽  
Vol 11 ◽  
Author(s):  
Yu-Hua Zhang ◽  
Zhuo Li ◽  
Ming-Zi Tan

ObjectivesThe relationship between diet quality indices and risk of ovarian and endometrial cancers were unclear. We aimed at conducting a systematic review to evaluate the epidemiological evidence.MethodsEmbase, PubMed, Web of Science and Scopus databases were searched for eligible studies up to December 2020. Epidemiological studies reported the association of the diet quality with risk of ovarian and endometrial cancers were evaluated.ResultsEleven eligible studies were identified, of which six studies were case-control studies, four were cohort studies, and one was case-cohort study. All studies were considered as high-quality with low risk of bias. Seven studies evaluated the association of diet quality with risk of ovarian cancer. Four studies reported null association for diet quality indices such as Healthy Eating Index (HEI)-2005, HEI-2010, Mediterranean Diet Score (MDS) and Recommended Foods Score (RFS). Two studies reported significantly inverse association for Alternate Healthy Eating Index (AHEI)-2010 and Healthy Diet Score (HDS) indices. One study reported significantly increased risk of ovarian cancer associated with higher level of Dietary Guidelines for Americans Index. Dose-response analysis showed pooled relative risks of 0.98 (95%Cl: 0.95, 1.01) and 0.94 (95%Cl: 0.77, 1.13) for each 10 points increase in the HEI-2005 and AHEI-2010 indices. Seven studies evaluated the association of diet quality with risk of endometrial cancer. Three studies reported significantly inverse association of diet quality as assessed by the MDS and Diet Score Quintiles with risk of endometrial cancer. Four studies reported null association for other diet quality indices including HEI-2005, HEI-2010, RFS and HDS. Dose-response analysis showed a pooled relative risk of 0.87 (95%CI: 0.81, 0.93) for one unit increment of the MDS.ConclusionThis study suggests little evidence on the association between diet quality and risk of ovarian cancer. Adherence to high quality diet, as assessed by MDS, might be associated with lower the risk of endometrial cancer.


Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Stephanie Harrison ◽  
Didier Brassard ◽  
Simone Lemieux ◽  
Benoit Lamarche

Background: Canadian dietary guidelines include a recommendation to limit the consumption of foods high in saturated fats (SFA), regardless of their dietary source. The same guidelines also recommend consumption of lean red meat and low-fat dairy products. Yet, the association between the consumption of SFA from different food sources and diet quality is currently unknown. The objective of this study was to examine associations between SFA from various food sources and different indices of diet quality. Methods: Analyses are based on a sample of 11 106 respondents representative of Canadian adults (19-70 y) from the 2015 Canadian Community Health Survey (CCHS 2015). Dietary intakes and diet quality indices were calculated using a single interview-administered 24-hour recall. Food sources of SFA were classified according to the 2019 Canada’s Food Guide categories: 1) vegetables and whole fruits, 2) whole grain foods and 3) protein foods (including dairy and meat, among others). Foods not included in these three categories were grouped as All other foods . The 2010 alternative Healthy eating index (aHEI), the 2015 Healthy eating index (HEI-2015) and the 2007 Canadian Healthy eating index (C-HEI) were calculated. Due to the unreliability of data for trans-fat consumption in the CCHS 2015 database, the trans-fat subscore of the aHEI was removed from the original score. Results: While total SFA intake and SFA from All other foods were inversely correlated with all indices of diet quality (-0.55<r<-0.10, all p<0.001), associations with SFA from dairy and meat were inconsistent. SFA from dairy were inversely correlated (p<0.001) with the aHEI (r=-0.14) and the HEI-2015 (r=-0.16) but showed a weak positive correlation with the C-HEI (r=0.05, p<0.001). SFA from meat were negatively correlated with the aHEI (r=-0.21, p<0.001) and positively correlated with the C-HEI (r=0.11, p<0.001). Removing subscores directly related to SFA intake in diet quality indices yielded positive correlations between SFA from dairy and the HEI-2015 (r=0.13, p<0.001) and the C-HEI (r=0.19, p<0.001). Conclusion: Consumption of SFA from different food sources are inconsistently associated with different indices of overall diet quality. Unsurprisingly, SFA from All other foods , which include low nutritive value foods, showed the strongest negative correlation with all diet quality scores. These results provide further support to the notion that guidance on SFA in future health policies should focus on food sources rather than on total intake of SFA.


Author(s):  
Guo-Chong Chen ◽  
Rhonda Arthur ◽  
Yasmin Mossavar-Rahmani ◽  
Xiaonan Xue ◽  
Bernhard Haring ◽  
...  

The potential role of nutritional factors in the development of peripheral arterial disease (PAD) remains poorly understood. We evaluated multiple recommended eating patterns as reflected by predefined diet quality indices in relation to long-term risk of PAD. We included 138 506 US postmenopausal women in the Women’s Health Initiative who had no known PAD at baseline (1993–1998). Four diet quality indices, including alternate Mediterranean diet index, alternate Healthy Eating Index-2010, Dietary Approaches to Stop Hypertension diet index, and Healthy Eating Index-2015, were derived using dietary information collected by a validated food frequency questionnaire at baseline. Incident cases of symptomatic PAD in the lower extremities were ascertained and adjudicated through March 2019 via medical record review. During a median 18.6 years of follow-up, 1036 incident PAD cases were identified. After multivariable adjustment, all diet quality scores were significantly and inversely associated with 21% (for alternate Healthy Eating Index 2010) to 34% (for Dietary Approaches to Stop Hypertension index) lower risk of PAD when comparing the highest with the lowest quartiles (all P -for-trend values ≤0.010). Among contributing food groups and nutrients, intakes of legumes, dietary fiber, and vegetable protein were associated lower risk of PAD, while intakes of unprocessed red meat, processed meat, and regular soft drinks were associated with higher risk. In a broad sample of US postmenopausal women, adhering to different recommended eating patterns is associated with lower risk of PAD. Our findings suggest that current clinical and public health strategies that recommend healthful eating patterns may also be applicable to PAD prevention.


Author(s):  
Youjin Kim ◽  
Sophia Lu ◽  
Jennifer E. Ho ◽  
Shih‐Jen Hwang ◽  
Chen Yao ◽  
...  

Background Biological mechanisms underlying the association of a healthy diet with chronic diseases remain unclear. Targeted proteomics may facilitate the understanding of mechanisms linking diet to chronic diseases. Methods and Results We examined 6360 participants (mean age 50 years; 54% women) in the Framingham Heart Study. The associations between diet and 71 cardiovascular disease (CVD)‐related proteins were examined using 3 diet quality scores: the Alternate Healthy Eating Index, the modified Mediterranean‐style Diet Score, and the modified Dietary Approaches to Stop Hypertension diet score. A mediation analysis was conducted to examine which proteins mediated the associations of diet with incident CVD and all‐cause mortality. Thirty of the 71 proteins were associated with at least 1 diet quality score ( P <0.0007) after adjustment for multiple covariates in all study participants and confirmed by an internal validation analysis. Gene ontology analysis identified inflammation‐related pathways such as regulation of cell killing and neuroinflammatory response (Bonferroni corrected P <0.05). During a median follow‐up of 13 years, we documented 512 deaths and 488 incident CVD events. Higher diet quality scores were associated with lower risk of CVD ( P ≤0.03) and mortality ( P ≤0.004). After adjusting for multiple potential confounders, 4 proteins (B2M [beta‐2‐microglobulin], GDF15 [growth differentiation factor 15], sICAM1 [soluble intercellular adhesion molecule 1], and UCMGP [uncarboxylated matrix Gla‐protein]) mediated the association between at least 1 diet quality score and all‐cause mortality (median proportion of mediation ranged from 8.6% to 25.9%). We also observed that GDF15 mediated the association of the Alternate Healthy Eating Index with CVD (median proportion of mediation: 8.6%). Conclusions Diet quality is associated with new‐onset CVD and mortality and with circulating CVD‐related proteins. Several proteins appear to mediate the association of diet with these outcomes.


2014 ◽  
Vol 27 (5) ◽  
pp. 605-617 ◽  
Author(s):  
Kênia Mara Baiocchi de Carvalho ◽  
Eliane Said Dutra ◽  
Nathalia Pizato ◽  
Nádia Dias Gruezo ◽  
Marina Kiyomi Ito

Various indices and scores based on admittedly healthy dietary patterns or food guides for the general population, or aiming at the prevention of diet-related diseases have been developed to assess diet quality. The four indices preferred by most studies are: the Diet Quality Index; the Healthy Eating Index; the Mediterranean Diet Score; and the Overall Nutritional Quality Index. Other instruments based on these indices have been developed and the words 'adapted', 'revised', or 'new version I, II or III' added to their names. Even validated indices usually find only modest associations between diet and risk of disease or death, raising questions about their limitations and the complexity associated with measuring the causal relationship between diet and health parameters. The objective of this review is to describe the main instruments used for assessing diet quality, and the applications and limitations related to their use and interpretation.


2021 ◽  
Author(s):  
Fariba Koohdani ◽  
Zeinab Naeini ◽  
Negin Aghazadeh ◽  
Elmira Karimi ◽  
Zahra Esmaeily ◽  
...  

Abstract Background: Although many studies suggest an association between BDNF Val66Met with eating disorders and obesity especially in type 2 diabetes mellitus (T2DM), the interaction between BDNF Val66Met polymorphism and diet quality indices in diabetic patients have not been investigated yet. The current study was aimed to evaluate the interaction between the diet quality indices including Healthy Eating Index (HEI), Diet Quality Index-International (DQI-I), Phytochemical Index (PI) and BDNF Val66Mat (rs6265) polymorphism on markers of inflammation, and oxidative stress in T2DM patients.Methods: This current cross-sectional study was conducted on 634 Iranian T2DM patients aged 35–65 years of both genders were randomly recruited. Dietary intakes was estimated by a food frequency questionnaire (FFQ) with 148 food items. All participants were categorized into three categories, based on DQI, HEI, and PI scores. The interactions were tested using analysis of covariance (ANCOVA) in adjusted and unadjusted models.Results: There were significant gene-diet interactions between BDNF Val66Met polymorphism and HEI, DQI, and PI scores in modulating body mass index (BMI) and waist circumference (WC) values. Our results showed that higher scores for all diet-quality indices were significantly associated with a lower BMI and WC values after adjustment (P Interactions < 0.05). We also observed a significant interaction between the DQI scores and Val66Met polymorphism on level of superoxide dismutase (SOD) (p-interaction= 0.01). The highest quartile of DQI was associated with elevated level of SOD in the Val/Met and Met/Met genotype group. Moreover, the interaction between the DQI scores and Val66Met polymorphism on total antioxidant capacity (TAC) tended to be significant.Conclusions: Higher scores for all diet-quality indices were significantly associated with a lower BMI and WC values. There were significant differences for PTX and PGF2A among HEI tertiles. The interaction between the polymorphism and DQI on TAC and SOD levels were significant.


Nutrients ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 26 ◽  
Author(s):  
Macy Mears ◽  
Lisa Tussing-Humphreys ◽  
Leah Cerwinske ◽  
Christy Tangney ◽  
Susan Hughes ◽  
...  

Osteoarthritis (OA) is a leading cause of immobility in the United States and is associated with older age, inflammation, and obesity. Prudent dietary patterns have been associated with disease prevention, yet little evidence exists describing diet quality (DQ) in older overweight or obese African American (AA) adults with OA and its relation to body composition. We conducted a secondary data analysis of a dataset containing alternate Healthy Eating Index-2010 (AHEI-2010), body composition, OA severity, and serum interleukin-6 (IL-6) data from 126 AA females (aged 60–87 years) with OA to examine the relationships between these variables. Our sample had poor DQ and reported having higher OA severity as measured by the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Interleukin-6 was negatively correlated with AHEI-2010, and AHEI-2010 and the WOMAC physical function subcategory (WOMACpf) were significant predictors of IL-6 (odds ratio (OR): 0.95, 95% confidence interval (CI) 0.92–0.99 and 1.04, 95% CI 1.01–1.07, respectively, p < 0.05) but not body composition. In conclusion, AHEI-2010 and WOMACpf were significant predictors of inflammation (IL-6) and AHEI-2010 accounted for ~16% of the variation of IL-6 (inflammation) in this sample.


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