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The Dietary Patterns Methods Project: synthesis of findings across cohorts and relevance to dietary guidance.

ABSTRACT: The Dietary Patterns Methods Project (DPMP) was initiated in 2012 to strengthen research evidence on dietary indices, dietary patterns, and health for upcoming revisions of the Dietary Guidelines for Americans, given that the lack of consistent methodology has impeded development of consistent and reliable conclusions. DPMP investigators developed research questions and a standardized approach to index-based dietary analysis. This article presents a synthesis of findings across the cohorts. Standardized analyses were conducted in the NIH-AARP Diet and Health Study, the Multiethnic Cohort, and the Women's Health Initiative Observational Study (WHI-OS). Healthy Eating Index 2010, Alternative Healthy Eating Index 2010 (AHEI-2010), alternate Mediterranean Diet, and Dietary Approaches to Stop Hypertension (DASH) scores were examined across cohorts for correlations between pairs of indices; concordant classifications into index score quintiles; associations with all-cause, cardiovascular disease (CVD), and cancer mortality with the use of Cox proportional hazards models; and dietary intake of foods and nutrients corresponding to index quintiles. Across all cohorts in women and men, there was a high degree of correlation and consistent classifications between index pairs. Higher diet quality (top quintile) was significantly and consistently associated with an 11-28% reduced risk of death due to all causes, CVD, and cancer compared with the lowest quintile, independent of known confounders. This was true for all diet index-mortality associations, with the exception of AHEI-2010 and cancer mortality in WHI-OS women. In all cohorts, survival benefit was greater with a higher-quality diet, and relatively small intake differences distinguished the index quintiles. The reductions in mortality risk started at relatively lower levels of diet quality. Higher scores on each of the indices, signifying higher diet quality, were associated with marked reductions in mortality. Thus, the DPMP findings suggest that all 4 indices capture the essential components of a healthy diet.

SUBMITTER: Liese AD

PROVIDER: S-EPMC4336525 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature

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The Dietary Patterns Methods Project: synthesis of findings across cohorts and relevance to dietary guidance.

Liese Angela D AD Krebs-Smith Susan M SM Subar Amy F AF George Stephanie M SM Harmon Brook E BE Neuhouser Marian L ML Boushey Carol J CJ Schap TusaRebecca E TE Reedy Jill J

The Journal of nutrition 20150121 3

The Dietary Patterns Methods Project (DPMP) was initiated in 2012 to strengthen research evidence on dietary indices, dietary patterns, and health for upcoming revisions of the Dietary Guidelines for Americans, given that the lack of consistent methodology has impeded development of consistent and reliable conclusions. DPMP investigators developed research questions and a standardized approach to index-based dietary analysis. This article presents a synthesis of findings across the cohorts. Stan ...[more]

PMID: 25733454

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Project description:BackgroundIt is currently unknown if within high-quality dietary intake there exist distinct dietary patterns associated with health benefits that are identifiable with multidimensional dietary pattern analyses. The purpose of this study was to identify specific dietary patterns and groups therein and their associations with all-cause, CVD, and cancer mortality.MethodsWe conducted sex-specific k-means cluster analyses within Healthy Eating Index 2015 (HEI-2015) quintile 5 in 3 US cohorts [NIH-American Association of Retired Persons Diet and Health Study (AARP), the Multiethnic Cohort (MEC), Women's Health Initiative Observational Study (WHI OS)], clusters ranging from n = 1190 to n = 12,007. Characterizations incorporated HEI-2015 overall and component-specific percentage adherence goals, using untruncated and truncated radar graphs and shape analyses. Using cohort- and sex-specific Cox proportional hazards models, associations of quintile 5 clusters with all-cause, cardiovascular disease (CVD), and cancer mortality were evaluated relative to quintile 1.ResultsIn each cohort sex-specific sample, 3 identified clusters included 16%-62% of participants, providing evidence for variation within high-quality dietary intake. Clusters revealed commonalities in total fruits and whole fruits intakes that exceeded goals and high sodium intake. Dairy and whole grain intakes oftentimes fell below goal. Some clusters were in addition characterized by total vegetables, greens & beans, and seafood & plant protein intakes exceeding goals. All high-quality dietary patterns were associated with a multivariable-adjusted significant 15%-26% lower risk of all-cause death than diet intake in quintile 1 (except for cluster 2 in WHI OS), and with a 16%-25% lower risk of CVD mortality in the AARP and MEC cohorts. Cancer mortality results were inconsistent.ConclusionsMultiple ways to achieve a high-quality diet were identified and significant associations with lower all-cause and CVD mortality were seen in some cohorts.

Project description:BackgroundDiet is increasingly recognized as an important determinant of human fertility, with most research focused on specific nutrients or food groups. However, there has been limited assessment of the effect of dietary patterns on fertility.ObjectivesWe evaluated the association between 4 dietary patterns [the alternative Mediterranean Diet (aMed), the Healthy Eating Index-2010 (HEI-2010), the Danish Dietary Guidelines (DDGI), and the Dietary Inflammatory Index (DII)] and fecundability in 2 preconception cohorts of couples trying to conceive: SF (SnartForaeldre.dk) in Denmark and PRESTO (Pregnancy Study Online) in North America.MethodsParticipants completed a baseline questionnaire on sociodemographic, anthropometric, and lifestyle factors and, 10 d later, a validated cohort-specific FFQ. We used data from these respective FFQs to calculate adherence to each dietary pattern. Participants completed bimonthly follow-up questionnaires for ≤12 mo or until pregnancy, whichever came first. We restricted analyses to 3429 SF and 5803 PRESTO participants attempting pregnancy for ≤6 cycles at enrollment. We used proportional probabilities regression models to estimate fecundability ratios (FRs) and 95% CIs, adjusting for potential confounders.ResultsGreater DII, indicative of a less anti-inflammatory diet (i.e., poorer diet quality), was associated with reduced fecundability in both SF and PRESTO (DII ≥ -1.5 compared with < -3.3: FR: 0.83; 95% CI: 0.71, 0.97 and FR: 0.82; 95% CI: 0.73, 0.93, respectively). In PRESTO, greater adherence to the aMed or to the HEI-2010 was associated with greater fecundability. In SF, there was no appreciable association between the aMed and fecundability, whereas greater adherence to the DDGI was associated with greater fecundability.ConclusionsIn prospective preconception cohort studies from Denmark and North America, higher-quality diets, including diets lower in inflammatory effects, were associated with greater fecundability.

Project description:BackgroundAutism spectrum disorder (autism) is a complex neurodevelopmental condition with pronounced behavioral, cognitive, and neural heterogeneities across individuals. Here, our goal was to characterize heterogeneity in autism by identifying patterns of neural diversity as reflected in BOLD fMRI in the way individuals with autism engage with a varied array of cognitive tasks.MethodsAll analyses were based on the EU-AIMS/AIMS-2-TRIALS multisite Longitudinal European Autism Project (LEAP) with participants with autism (n = 282) and typically developing (TD) controls (n = 221) between 6 and 30 years of age. We employed a novel task potency approach which combines the unique aspects of both resting state fMRI and task-fMRI to quantify task-induced variations in the functional connectome. Normative modelling was used to map atypicality of features on an individual basis with respect to their distribution in neurotypical control participants. We applied robust out-of-sample canonical correlation analysis (CCA) to relate connectome data to behavioral data.ResultsDeviation from the normative ranges of global functional connectivity was greater for individuals with autism compared to TD in each fMRI task paradigm (all tasks p < 0.001). The similarity across individuals of the deviation pattern was significantly increased in autistic relative to TD individuals (p < 0.002). The CCA identified significant and robust brain-behavior covariation between functional connectivity atypicality and autism-related behavioral features.ConclusionsIndividuals with autism engage with tasks in a globally atypical way, but the particular spatial pattern of this atypicality is nevertheless similar across tasks. Atypicalities in the tasks originate mostly from prefrontal cortex and default mode network regions, but also speech and auditory networks. We show how sophisticated modeling methods such as task potency and normative modeling can be used toward unravelling complex heterogeneous conditions like autism.

Dataset Information

The Dietary Patterns Methods Project: synthesis of findings across cohorts and relevance to dietary guidance.

Publications

The Dietary Patterns Methods Project: synthesis of findings across cohorts and relevance to dietary guidance.

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