Related Experiment Video
Updated: Mar 17, 2026

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
Published on: September 20, 2024
Dietary patterns of Korean Americans described by factor analysis
Eun Ju Yang1, Jean M Kerver, Won O Song
1Department of Culinary Science, Honam University, Gwangju, Korea.
Objectives:
This study tested the hypothesis that the dietary behaviors of Korean Americans (KAs) can be grouped into dietary patterns and subsequently examined relations between major dietary patterns and sociodemographic characteristics.
Methods:
A cross-sectional study was conducted with KAs residing in Michigan using a mail survey. Of 1,860 questionnaires mailed to KAs in Michigan, 637 (34%) responded and 497 first-generation KAs (263 men, 234 women, aged 30-87 y) were included in the final analyses. A factor analysis was used to identify dietary patterns from a 93-item food frequency questionnaire developed for KAs (KFFQ).
Results:
Major dietary patterns of KAs were labeled "vegetable/fruit," and "traditional Korean" in both men and women and "acculturated American" in men and "traditional American" in women. The "traditional Korean" dietary pattern was negatively associated with length of residence in the U.S. for both men and women (p < 0.01). The other major dietary patterns were not associated with other sociodemographic variables examined in men; however, the "vegetable/fruit" dietary pattern was positively associated with length of residence in the U.S. (p < 0.05) and education level (p < 0.05) in women.
Conclusions:
Dietary pattern analysis can be used to understand dietary behaviors regarding health risks of ethnically different immigrants including KAs.
Related Concept Videos
Factorial Design
Assessment of the Gastrointestinal System II: Health Perception Pattern
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
Lifestyle Factors and Health
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
Dietary Connections
One-Way ANOVA

