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. 2013 Jun 11;185(9):E409–E416. doi: 10.1503/cmaj.120567

Table 2:

Primary and secondary outcomes after 26 and 52 weeks*

Outcomes Naturopathic care Mean or % ± SE
n = 124
Control Mean or % ± SE
n = 122
Estimated difference (control – naturopathic care) (95% CI)
Primary outcomes
Metabolic syndrome, %
 26 wk 38.11 ± 0.04 53.05 ± 0.04 −14.94% (−26.49% to −3.39%)
 52 wk 31.58 ± 0.04 48.48 ± 0.05 −16.90% (−29.55% to −4.25%)
10-year cardiovascular risk, %
 26 wk 8.99 ± 0.44 11.35 ± 0.47 −2.36 (−3.66 to −1.09)
 52 wk 7.74 ± 0.46 10.81 ± 0.47 −3.07 (−4.35 to −1.78)
Secondary outcomes
Weight, kg
 26 wk 82.44 ± 0.68 83.76 ± 0.70 −1.32 (−3.25 to 0.61)
 52 wk 83.81 ± 1.07 83.59 ± 1.09 0.22 (−2.78 to 3.22)
Low-density lipoprotein, mmol/L
 26 wk 3.54 ± 0.10 3.71 ± 0.10 −0.17 (−0.44 to −0.11)
 52 wk 3.49 ± 0.10 3.50 ± 0.09 −0.01 (−0.28 to 0.25)
High-density lipoprotein, mmol/L
 26 wk 1.18 ± 0.04 1.13 ± 0.04 0.05 (−0.06 to 0.16)
 52 wk 1.18 ± 0.04 1.04 ± 0.04 0.14 (0.04 to 0.24)
Triglyceride, mmol/L
 26 wk 2.69 ± 0.37 2.46 ± 0.38 0.23 (−0.82 to 1.27)
 52 wk 2.2 ± 0.19 2.23 ± 0.19 −0.03 (−0.56 to 0.5)
Ratio of total cholesterol to HDL
 26 wk 5.12 ± 0.14 5.33 ± 0.15 −0.21 (−0.61 to 0.19)
 52 wk 4.84 ± 0.16 5.63 ± 0.16 −0.79 (−1.24 to −0.35)
Glycated hemoglobin, %
 26 wk 5.69 ± 0.04 5.77 ± 0.05 −0.08 (−0.21 to 0.04)
 52 wk 5.64 ± 0.05 5.78 ± 0.05 −0.14 (−0.29 to 0)
Fasting blood glucose, mmol/L
 26 wk 5.78 ± 0.13 6.12 ± 0.13 −0.34 (−0.70 to 0.02)
 52 wk 8.10 ± 0.88 7.62 ± 1.23 0.48 (−2.50 to 3.45)
Systolic blood pressure
 26 wk 120.27 ± 1.08 125.53 ± 1.10 −5.26 (−8.30 to −2.22)
 52 wk 117.45 ± 1.12 124.00 ± 1.13 −6.55 (−9.70 to −3.42)
Diastolic blood pressure
 26 wk 80.42 ± 0.68 82.80 ± 0.69 −2.38 (−4.29 to −0.47)
 52 wk 78.36 ± 0.92 81.69 ± 0.93 −3.33 (−5.92 to −0.75)

Note: CI = confidence interval, SE = standard error.

*

To account the repeated measure at 26 weeks, we used repeated-measures analysis of covariance in a mixed model by including the baseline value as a covariate for the continuous data and a generalized estimating equations approach for the binary data.

Evaluated by multiple imputation.