Menu Close

Dietary Pattern Trajectories during 15 Years of Follow-up and HbA1c, Insulin Resistance and Diabetes Prevalence among Chinese Adults

Citation

Batis, Carolina R.; Mendez, Michelle A.; Sotres-Alvarez, Daniela T.; Gordon-Larsen, Penny; & Popkin, Barry M. (2014). Dietary Pattern Trajectories during 15 Years of Follow-up and HbA1c, Insulin Resistance and Diabetes Prevalence among Chinese Adults. Journal of Epidemiology and Community Health, 68(8), 773-779. PMCID: PMC4082755

Abstract

Background: Most research on dietary patterns and health outcomes does not include longitudinal exposure data. We used an innovative technique to capture dietary pattern trajectories and their association with hemoglobin A1c (HbA1c), homeostasis model of insulin resistance (HOMA-IR), and prevalence of newly diagnosed diabetes.
Methods: We included 4,096 adults with three to six waves of diet data (1991–2006) and biomarkers measured in 2009 from the China Health and Nutrition Survey. Diet was assessed with three 24-hour recalls and a household food inventory. We used a dietary pattern previously identified with reduced rank regression that positively predicted diabetes in 2006 (high in wheat products and soy milk and low in rice, legumes, poultry, eggs, and fish). We estimated a score for this dietary pattern for each subject at each wave. Using latent class trajectory analysis, we grouped subjects with similar dietary pattern score trajectories over time into five classes.
Results: Three trajectory classes were stable over time, and in two classes the diet became unhealthier over time (upward trend in dietary pattern score). Among two classes with similar scores in 2006, the one with the lower (healthier) initial score had an HbA1c 1.64% lower (-1.64 [95% confidence interval= -3.17, -0.11]) and nonsignificantly a HOMA-IR 6.47% lower (-6.47 [-17.37, 4.42]) and lower odds of diabetes (0.86 [0.44, 1.67]).
Conclusions: Our findings suggest that dietary pattern trajectories with healthier scores longitudinally had a lower HbA1c compared to those with unhealthier scores, even when the trajectories had similar scores in the end point.

URL

http://dx.doi.org/10.1136/jech-2013-203560

Reference Type

Journal Article

Year Published

2014

Journal Title

Journal of Epidemiology and Community Health

Author(s)

Batis, Carolina R.
Mendez, Michelle A.
Sotres-Alvarez, Daniela T.
Gordon-Larsen, Penny
Popkin, Barry M.

PMCID

PMC4082755