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. Author manuscript; available in PMC: 2014 Jul 1.
Published in final edited form as: Eur J Clin Nutr. 2013 Nov 13;68(1):91–96. doi: 10.1038/ejcn.2013.230

Table 3.

Linear associations of sugar intake with chronic disease risk factors, and means of those risk factors stratified by quartile of sugar intake (n = 380–1039)1

Sugar intake2,3
(range, g/d)
β4
(95% CI)
P
n Quartile 1
(23 – <66)
Quartile 2
(66– <93)
Quartile 3
(93 – <121)
Quartile 4
(121 – <217)
SBP, mm Hg 879 116.7 ± 1.0 118.4 ± 0.8 117.7 ± 0.8 120.2 ± 0.8 0.78 (0.14, 1.43) 0.018
DBP, mm Hg 881 68.6 ± 0.8 70.7 ± 0.6 70.8 ± 0.6 71.5 ± 0.7 0.88 (0.39, 1.37) <0.00015
Triglycerides, mg/dL6 911 66.0 (62.4, 69.8) 74.8 (71.3, 78.5) 81.0 (77.1, 85.0) 81.9 (77.6, 86.4) 6.09 (3.98, 8.20) <0.00015
Cholesterol, mg/dL 921 226.3 ± 3.3 229.8 ± 2.6 215.6 ± 2.6 208.6 ± 2.9 −5.09
(−7.21, −2.97)
<0.00015
HDL, mg/dL 919 65.8 ± 1.1 64.9 ± 1.0 61.0 ± 1.1 59.7 ± 1.1 −1.62 (−2.42, −0.82) <0.00015
LDL, mg/dL 921 148.5 ± 2.6 148.4 ± 2.2 138.7 ± 2.3 130.6 ± 2.5 −5.08 (−7.21, −2.97) <0.00015
Leptin, ng/mL6 810 6.8 (6.3, 7.4) 6.9 (6.4, 7.4) 7.0 (6.5, 7.5) 7.4 (6.8, 8.0) 4.44 (1.43, 7.53) 0.0045
Adiponectin, µg/mL 959 10.4 ± 0.4 9.7 ± 0.3 9.6 ± 0.3 9.5 ± 0.3 −0.32 (−0.57, −0.06) 0.015
Ghrelin, pg/mL 809 424.1 ± 11.1 424.2 ± 10.0 411.6 ± 10.8 404.5 ± 11.8 −0.65 (−9.11, 7.81) 0.88
HbA1c, % 960 5.6 ± 0.02 5.5 ± 0.02 5.5 ± 0.02 5.5 ± 0.02 −0.02 (−0.03, 0.00) 0.09
Glucose, mg/dL 1038 94.2 ± 0.7 93.0 ± 0.6 92.3 ± 0.6 92.9 ± 0.6 −0.03 (−0.51, 0.44) 0.90
Insulin, µU/dL6 787 12.2 (11.4, 13.0) 12.0 (11.4, 12.8) 12.6 (11.8, 13.4) 12.6 (11.8, 13.5) 2.29 (−0.14, 4.78) 0.069
HOMA-IR6 782 2.8 (2.6, 3.0) 2.7 (2.5, 2.9) 2.9 (2.7, 3.1) 2.9 (2.7, 3.1) 2.42 (−0.18, 5.11) 0.064
IGF-I, ng/mL 386 272.8 ± 9.5 246.3 ± 8.7 250.9 ± 8.5 248.0 ± 9.2 −3.53 (−10.34, 3.28) 0.31
CRP, mg/dL6 782 0.08 (0.07, 0.10) 0.11 (0.09, 0.13) 0.10 (0.08, 0.12) 0.13 (0.10, 0.15) 5.91 (−0.97, 13.3) 0.094
IL-6, µg/L6 379 0.08 (0.06, 0.13) 0.10 (0.07, 0.12) 0.09 (0.07, 0.12) 0.09 (0.07, 0.12) 3.94 (−6.03, 15.0) 0.45
1

Sample size varies because of outliers and missing data. Multiple linear regression models were adjusted for age (continuous), sex, BMI (continuous), smoking status (yes or no), and year of data collection. Abbreviations: SBP, systolic blood pressure; DBP, diastolic blood pressure; HOMA-IR, homeostasis model of insulin resistance; IGF-I, Insulin-like growth factor I; CRP, C-reactive protein; IL-6, interleukin-6.

2

Sugar intake was estimated using the formula: ln(sugar intake) = 13.07 + 0.33(δ13C) − 0.23(δ15N) (19)

3

Means of chronic disease risk biomarkers by quartile of sugar intake are least squares means (±SE), adjusted for age (continuous), sex, BMI (continuous), and smoking status (yes or no). Geometric means (95% CI) are given for log-transformed variables.

4

Slopes are interpreted as change in chronic disease risk factor for each 25g increase in total sugar intake

5

Associations remained statistically significant after Bonferroni-Holm correction

6

Log-transformed values were used for regression analyses; slopes have been back transformed for ease of interpretation and are interpreted as percentage change in the chronic disease risk factor for each 25g increase in sugar intake