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Trajectories of an unhealthy dietary pattern from 1991 to 2006 and diabetes in Chinese adults: A new approach to study longitudinal diet
Author(s) -
Ruvalcaba Carolina Batis,
Popkin Barry
Publication year - 2013
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.27.1_supplement.847.5
Subject(s) - demography , diabetes mellitus , medicine , china , refined grains , latent class model , zoology , food science , mathematics , biology , statistics , geography , endocrinology , whole grains , archaeology , sociology
We used an innovative technique to capture trajectories of a dietary pattern and assess their relationship to diabetes. We included 4780 adults with 3 to 6 waves of diet data (1991 to 2006) and HbA1c measure in 2009 from the China Health and Nutrition Survey. Diet was assessed by a household food inventory and three 24‐h recalls. We used Reduced Rank Regression (SAS 9.3) to identify a dietary pattern in 2006 that positively predicted HbA1c (high in wheat flour, buns & breads, cookies, pastries & deep‐fried wheat, corn, and soy‐milk; and low in rice, fresh leafy vegetables and lard & butter). A score for this pattern was estimated for each subject at each wave. We used Latent class trajectory analysis (Mplus 6) to group subjects that share similar trajectories of their dietary pattern's score over time. We estimated the prevalence ratio (PR) for diabetes (HbA1c ≥6.5) adjusting by age, gender, geographical region and education: The results provide insights into how the trajectory of an unhealthy dietary pattern affects diabetes. The highest prevalence was among those that started high and increase their score over time (# 2); whereas those that started even higher, but had an important decrease over time (# 5) had a prevalence close to those that remained low the entire follow‐up (# 1).Trajectory PR (95% CI) # intercept slope1 −1.2 0.03 1 2 1.8 0.08 2.3 (1.5, 3.6) 3 1.4 0.00 1.9 (1.4, 4.5) 4 0.0 0.02 1.3 (0.9, 1.8) 5 2.9 −0.19 1.2 (0.7, 2.3)Grant Funding Source : CONACYT (grant 212018), NIH (R01‐ HD30880), the Fogarty International Center (D43‐TW009077)