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Association between longitudinal dietary patterns and changes in obesity: a population-based cohort study
Liuyan Zheng1, Xinyue Lu1, Jianhui Guo2
1Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Frontiers in Public Health
|December 18, 2023
Summary
Maintaining healthy low-carbohydrate and low-fat diets can significantly reduce obesity risk. This study identified distinct dietary and adiposity trajectories in Chinese adults, linking unhealthy patterns to increased adverse outcomes.
Area of Science:
- Nutrition Science
- Public Health
- Epidemiology
Background:
- Inconclusive research exists on the relationship between dietary patterns and obesity trends.
- Understanding dietary and adiposity trajectories is crucial for public health interventions.
Purpose of the Study:
- To describe dietary and adiposity trajectories in Chinese adults.
- To assess the association between dietary trajectories and changes in body mass index (BMI) and waist-to-hip ratio (WHR).
Main Methods:
- Utilized data from 3,643 Chinese adults (1997-2015) from the China Health and Nutrition Survey.
- Employed group-based multitrajectory modeling for dietary and adiposity patterns.
- Assessed associations using logistic regression analysis.
Main Results:
- Identified four distinct low-carbohydrate (LCD) and low-fat diet (LFD) score trajectories.
- Revealed three adiposity trajectories based on BMI and WHR trends.
- Unhealthy dietary trajectories were associated with a higher risk of adverse adiposity outcomes compared to sustained healthy diets.
Conclusions:
- Maintaining healthy LCD and LFD patterns is key to reducing obesity risk.
- Dietary interventions targeting specific trajectories may mitigate adiposity progression.
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