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. Author manuscript; available in PMC: 2014 Nov 1.
Published in final edited form as: J Nutr Educ Behav. 2013 Jul 25;45(6):661–668. doi: 10.1016/j.jneb.2013.06.003

Table 3. Adjusted Associations a of Frequency of Carbohydrate Counting Use with CVD Risk Factors among Participants who were Exclusively Taught Carbohydrate Counting, Stratified by Weight Status (n=499).

Underweight/Normal Weight Who Were Exclusively Taught Carbohydrate Counting Overweight/Obese Who Were Exclusively Taught Carbohydrate Counting


Used Carbohydrate Counting Often Used Carbohydrate Counting Sometimes/Never Used Carbohydrate Counting Often Used Carbohydrate Counting Sometimes/Never
LDL-Cholesterol (mg/dL) 93.7 (8.2) 96.5 (9.5) 98.4 (6.5) 101.3 (8.7)
HDL-Cholesterol (mg/dL) 63.2 (4.3) 60.5 (5.0) 58.8 (3.9) 58.9 (5.2)
Total Cholesterol (mg/dL) 166.7 (10.0) 182 (11.6) 171.8 (8.3) 174.1 (11.2)
Triglycerides (mg/dL)* 56.3 (12.1) 98.6 (14.1) 72.5 (14.9) 69.1 (20.0)
A1c (%)* 8.3 (0.4) 9.4 (0.4) 8.4 (0.4) 8.3 (0.5)
SBP (mm Hg) 106.0 (2.6) 106.2 (3.05) 106.5 (2.3) 100.9 (2.9)
DBP (mm Hg) 65.8 (2.2) 69.4 (2.6) 65.4 (2.2) 63.5 (2.7)
a

Separate, multivariate linear regression models estimating mean value and standard errors for CVD risk factor by use of exclusive carbohydrate counting, adjusted for race/ethnicity, sex, parental education, age at visit, study site, diabetes duration, and insulin regimen stratified by weight. Referent category is “used carbohydrate counting often.”

*

For underweight/normal participants, significant difference between youth who used carbohydrate counting “sometimes/never” versus those who used the approach “often”, p<0.05.