Table 1. Summary of demographic characteristics (safety population).
Demographic Characteristics | Control (N=45) |
Sham Control (N=43) | Biofield Energy Therapy (N=44) |
---|---|---|---|
Age (Years) | |||
Mean ± SD | 37.5 ± 7.15 | 35.6 ± 6.71 | 32.5 ± 7.78 |
Median | 38.00 | 36.00 | 32.00 |
Min, Max | 21, 54 | 23, 49 | 20, 49 |
p value: 0.0172 | |||
Sex [n (%)] | |||
Male | 22 (48.89) | 21 (48.84) | 21 (47.73) |
Female | 23 (51.11) | 22 (51.16) | 23 (52.27) |
p value: 0.9924 | |||
Race [n (%)] | |||
South Asian | 45 (100) | 43 (100) | 44 (100) |
Other | 0 (0.00) | 0 (0.00) | 0 (0.00) |
p value: NE | |||
Height (cm) | |||
Mean ± SD | 158.5 ± 10.60 | 160.2 ± 11.25 | 158.1 ± 9.36 |
Median | 159.00 | 162.00 | 158.00 |
Min, Max | 137, 182 | 138, 180 | 141, 178 |
p value: 0.8103 | |||
Weight (kg) | |||
Mean ± SD | 61.894 ± 9.16 | 65.285 ± 14.28 | 61.888 ± 10.05 |
Median | 61.65 | 62.00 | 61.83 |
Min, Max | 43.45, 85.60 | 44.1, 93.50 | 37.1, 89.05 |
p value: 0.4608 | |||
BMI (kg/m2) | |||
Mean ± SD | 24.78 ± 3.83 | 25.37 ± 4.51 | 24.86 ± 4.31 |
Median | 24.50 | 24.30 | 24.65 |
Min, Max | 18.8, 32.20 | 18.8, 34.60 | 18.6, 34.80 |
p value: 0.9191 | |||
Marital Status [n (%)] | |||
Divorced | 3 (6.67) | 1 (2.33) | 1 (2.27) |
Married | 34 (75.56) | 38 (88.37) | 29 (65.91) |
Married but separated | 1 (2.22) | 1 (2.33) | 2 (4.55) |
Single | 5 (11.11) | 3 (6.98) | 10 (22.73) |
Widow | 2 (4.44) | 0 (0.00) | 0 (0.00) |
Widower | 0 (0.00) | 0 (0.00) | 2 (4.55) |
p value: 0.1240 | |||
Smoking history [n (%)] | |||
Previous | 0 (0.00) | 0 (0.00) | 0 (0.00) |
Current | 0 (0.00) | 0 (0.00) | 0 (0.00) |
Never | 0 (0.00) | 1 (2.33) | 0 (0.00) |
p value: NE |
BMI = body mass index; BMI = weight (kg)/height (m2), cm = centimeter; kg = kilogram; N = number of subjects in the specified treatment group; Max = maximum; Min = minimum; n = number of subjects in the specified category; SD = standard deviation; NE = not estimable. The percentages were based on number of subjects in the specified treatment group. For continuous variables, the p-value was calculated by using one-way Analysis of Variance (ANOVA) and for categorical variables, the p-value was calculated by using the Chi square test.