A review of harmonization methods for studying dietary patterns

Gurugubelli, Venkata Sukumar; Fang, Hua; Shikany, James M.; Balkus, Salvador V; Rumbut, Joshua; Ngo, Hau; Wang, Honggang; Allison, Jeroan J.; Steffen, Lyn M.

doi:10.1016/j.smhl.2021.100263

Cited by 7 publications

(2 citation statements)

References 82 publications

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“…As inherent in all retrospective data harmonization techniques, the two approaches presented here are also subject to limitations including the complexity and necessity of expert domain knowledge to pool data, and the possibility that, despite best efforts, some data may not be comparable across cohorts due to, for instance, gross heterogeneity in measures. When the available data are not comparable, there is risk of data loss (66). Moreover, and also inherent to data harmonization, details with regard to the observational context can get lost.…”

Section: Limitationsmentioning

confidence: 99%

The DREAM BIG project as a model for harmonizing early measures of parental care and parent-child interactions across epidemiological cohorts

Szekely,

Laplante,

Tiemeier

et al. 2023

Front. Child Adolesc. Psychiatry

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Parenting is a key contributor to child development. The effects of parenting, however, also depend on child characteristics, including genetic factors. A more complete appraisal of the role of parenting thus requires a comprehensive developmental model which explores questions about parenting behavior, child susceptibility to parenting, and child psychopathology. Moving forward, we need to not only be concerned about sample sizes that limit testing of comprehensive models but also the need to replicate findings across multiple settings and samples. A consortium which harmonises key measures offers the opportunity to examine these questions. The Developmental Research in Environmental Adversity, Mental health, BIological susceptibility and Gender (DREAM BIG) consortium includes six international longitudinal prospective birth cohorts to explore the early life origins of major psychiatric disorders in childhood. Here, we will provide a brief overview of parental care research, methodological limitations, and two exciting recent attempts (i.e., the DREAM BIG consortium and the CATS-project), that address key methodological challenges.

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Section: Limitationsmentioning

confidence: 99%

The DREAM BIG project as a model for harmonizing early measures of parental care and parent-child interactions across epidemiological cohorts

Szekely,

Laplante,

Tiemeier

et al. 2023

Front. Child Adolesc. Psychiatry

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“…The complexity arises from the inherent difficulties in combining and evaluating existing evidence given the heterogeneity in the study populations and the cognitive and dietary assessment methods employed, the different diet patterns and cognitive outcomes examined, and the differential length of the follow-up or timing of outcome assessment across studies (11). Thus far, there has been a lack of standardizing dietary intake and cognitive test data prior to data analysis (12)(13)(14). This hinders the interpretation of the study results and, consequently, limits the effectiveness of systematic reviews and meta-analyses in guiding dietary recommendations (15).…”

Section: Introductionmentioning

confidence: 99%

Diet patterns associated with cognitive decline: methods to harmonize data from European and US cohort studies

Ayala-Garcia,

Soldevila-Domenech,

et al. 2024

Front. Nutr.

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The impact of dietary intake on cognitive outcomes and dementia prevention is a topic of increasing interest. Meta-analyses of observational studies, mostly conducted within US and European populations, have reported benefits of healthy diet patterns on cognitive performance, but results from individual studies have been inconsistent. These inconsistencies are likely due to the diverse methodology used in studies, including different diet and cognitive function assessment instruments, follow-up periods, and analytical methods, which make drawing conclusions relevant to dietary guidance challenging. The objective of this project is to describe a protocol to conduct a retrospective harmonization study on dietary intake and cognitive health using data from European and US studies. The recommendations resulting from the project can be used to support evidence-based synthesis for future iterations of the Dietary Guidelines for Americans or other population-based dietary guidance. Additionally, this study will serve as a harmonization guide for future research on the relationship between diet patterns and cognition. The approach outlined ultimately aims to optimize resources and expedite research efforts for dementia prevention.

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Intelligent Grouping Method of Science and Technology Projects Based on Data Augmentation and SMOTE

Zhou

2022

Applied Artificial Intelligence

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A review of harmonization methods for studying dietary patterns

Cited by 7 publications

References 82 publications

The DREAM BIG project as a model for harmonizing early measures of parental care and parent-child interactions across epidemiological cohorts

The DREAM BIG project as a model for harmonizing early measures of parental care and parent-child interactions across epidemiological cohorts

Diet patterns associated with cognitive decline: methods to harmonize data from European and US cohort studies

Intelligent Grouping Method of Science and Technology Projects Based on Data Augmentation and SMOTE

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