Journal
NUTRIENTS
Volume 13, Issue 8, Pages -Publisher
MDPI
DOI: 10.3390/nu13082835
Keywords
dietary patterns; trajectories; overweight; obesity; Chinese adults
Categories
Funding
- Study of Diet and Nutrition Assessment and Intervention Technology from Active Health and Aging Technologic Solutions Major Project of National Key RD Program [2020YFC2006300]
- National Institutes of Health (NIH) [R01-HD30880, DK056350, R24 HD050924, R01-HD38700]
- NIH Fogarty International Center [5D43TW007709, 5D43TW009077]
- Carolina Population Center, University of North Carolina at Chapel Hill [5 R24 HD050924]
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Different dietary pattern trajectories among Chinese adults have diverse associations with the risk of overweight/obesity.
It is essential to understand the impact of different dietary pattern trajectories on health over time. Therefore, we aimed to explore the long-term trajectories of dietary patterns among Chinese adults and examine the prospective association between different trajectory groups and the risk of overweight/obesity. The sample was 9299 adults aged 18 years or older from the China Health and Nutrition Survey (CHNS) between 1991 and 2018. We used factor analysis to identify dietary patterns and group-based trajectory modeling to identify dietary pattern trajectories. Three trajectories of a southern pattern and a modern pattern and four trajectories of a meat pattern were identified. Participants who followed the highest initial score and a slight decrease trajectory (OR = 1.63; 95% CI: 1.04, 2.54) of the meat dietary pattern were positively associated with risk of overweight/obesity when compared with the lowest initial score trajectory. The southern dietary pattern and the modern dietary pattern trajectories of participants in Group 2 (OR = 0.64; 95% CI: 0.51, 0.81; OR = 0.76; 95% CI: 0.63, 0.91) and Group 3 (OR = 0.71; 95% CI: 0.54, 0.91; OR = 0.64; 95% CI: 0.44, 0.90) were associated with lower risk of overweight/obesity when compared with Group 1. We observed that dietary pattern trajectories have different associations with overweight/obesity among Chinese adults.
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