ArticleNutrients2018
Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey).
Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Dietary Intake Assessment Using a Novel, Generic Meal-Based Recall and a 24-Hour Recall: Comparison Study.Journal of medical Internet research · 2024Trial
- TREE-REGULARIZED BAYESIAN LATENT CLASS ANALYSIS FOR IMPROVING WEAKLY SEPARATED DIETARY PATTERN SUBTYPING IN SMALL-SIZED SUBPOPULATIONS.The annals of applied statistics · 2025Article
- Comparison of Meal Patterns Across Common Racial Groups in the UK and the USA, Examining Associations with Weight Status and Diet Quality: a Secondary Analysis of NDNS and NHANES Datasets.Journal of racial and ethnic health disparities · 2025Article
- Evaluation of daily eating patterns on overall diet quality using decision tree analyses.The American journal of clinical nutrition · 2024Article
- The association between dietary pattern and visceral adiposity index, triglyceride-glucose index, inflammation, and body composition among Iranian overweight and obese women.Scientific reports · 2023Article
- A Clustering Approach to Meal-Based Analysis of Dietary Intakes Applied to Population and Individual Data.The Journal of nutrition · 2022Article
- An Ultra-Processed Food Dietary Pattern Is Associated with Lower Diet Quality in Portuguese Adults and the Elderly: The UPPER Project.Nutrients · 2021Article
- Association between dietary patterns and risk of breast cancer in Chinese female population: a latent class analysis.Public health nutrition · 2021Article
- Meal Pattern Analysis in Nutritional Science: Recent Methods and Findings.Advances in nutrition (Bethesda, Md.) · 2021Review
- Dietary Diversity in Nepal: A Latent Class Approach.Food and nutrition bulletin · 2021Article
- Article
- Late and Instable Sleep Phasing is Associated With Irregular Eating Patterns in Eating Disorders.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2020Article
- Food Combinations in Relation to the Quality of Overall Diet and Individual Meals in Japanese Adults: A Nationwide Study.Nutrients · 2020Article
- Patterns of Diet, Physical Activity, Sitting and Sleep Are Associated with Socio-Demographic, Behavioural, and Health-Risk Indicators in Adults.International journal of environmental research and public health · 2019Article
- The Evolutionary Trends of Health Behaviors in Chinese Elderly and the Influencing Factors of These Trends: 2005⁻2014.International journal of environmental research and public health · 2019Article
- Regularity of Breakfast Consumption and Diet: Insights from National Adult Nutrition Survey.Nutrients · 2018Article
- Applying a meal coding system to 16-d weighed dietary record data in the Japanese context: towards the development of simple meal-based dietary assessment tools.Journal of nutritional science · 2018Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nutritional data reduction methods are widely applied in nutrition epidemiology in order to classify individuals into meaningful groups with similar dietary patterns. To date, none of the existing studies have applied latent class analysis to examine dietary patterns which include meal types consumed throughout a day. We investigated main meal patterns followed on weekend and weekdays, and evaluated their associations with cardio-metabolic biomarkers. The analyses were performed within the NANS (National Adult Nutrition Survey) a cross-sectional national food consumption survey of 1500 nationally representative Irish adults. A total number of seven dietary patterns were identified using latent class analysis. The typical meal pattern followed by the majority of the population was characterized by consumption of cereal or toast for breakfast, skipping or consuming a sandwich for light meal, and meat or fish with potatoes, pasta or vegetables for the main meal. Eating patterns differed on weekends, and those participants who consumed meat and eggs for breakfast instead of breakfast cereal and skipped light meal were more likely to have an unhealthier dietary pattern, a higher diastolic blood pressure, and increased serum ferritin. The application of data reduction techniques to simplify the multifaceted nature of dietary data is a useful approach to derive patterns, which might shed further light on the typical dietary patterns followed by populations.
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