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. 2014 Jul 11;36(4):9683. doi: 10.1007/s11357-014-9683-7

Table 3.

Effect of yogic practice on cardio metabolic risk factors of different age groups

Parameters 20–29 years (A) 30–39 years (B) 40–50 years (C)
Before After Before After Before After
HR (beats/min) 69.0 ± .46 61.6 ± 1.33** 71.3 ± 1.97 64.6 ± 1.58 72.2 ± 1.61 67.9 ± 1.18*
SBP (mmHg) 122.6 ± 1.60 119.5 ± 1.68 129.5 ± 2.95 120.8 ± 1.60** 133.6 ± 1.8¥¥ 124.6 ± 1.43***
DBP (mmHg) 69.3 ± 0.99 68.1 ± 1.15 77.6 ± 1.50¥¥¥ 75.7 ± 1.57 84.4 ± 0.89¥¥¥ϕ ϕ 79.1 ± 0.97**
MBP (mmHg) 87.0 ± 0.95 85.2 ± 1.00 95.0 ± 1.66¥¥¥ 90.7 ± 1.26** 100.8 ± 1.03¥¥¥ϕ ϕ 94.3 ± 0.73***
DoP (mmHg bpm) 6,005.6 ± 145.9 5,254.3 ± 139.5 6,783.4 ± 234.3 5,858.2 ± 170.5 7,572.8 ± 180.7¥¥¥ϕ 6,395.4 ± 125.1***
RPP (mmHg bpm) 8,462.8 ± 223.2 7,365.3 ± 200.3 9,269.5 ± 344.8 7,791.9 ± 203.5 10,051.02 ± 271.6¥¥¥ 8,455.7 ± 191.0 ***
TC (mg/dl) 119.4 ± 5.14 112.0 ± 6.34 162.3 ± 10.00¥¥ 128.9 ± 6.60* 171.7 ± 9.88¥¥¥ 132.6 ± 7.48**
TG (mg/dl) 141.0 ± 12.42 119.3 ± 8.00 146.7 ± 11.23 131.0 ± 12.54 165.4 ± 13.4 148.9 ± 14.74
HDL-C (mg/dl) 61.7 ± 5.97 66.9 ± 4.49 60.8 ± 3.90 63.5 ± 4.24 46.0 ± 3.17 51.5 ± 4.35
LDL-C (mg/dl) 99.6 ± 5.64 75.0 ± 4.12** 111.1 ± 5.01 84.3 ± 6.88** 115.4 ± 9.29 88.6 ± 6.38*

Values are expressed as mean±SEM

HR heart rate, SBP systolic blood pressure, DBP diastolic blood pressure, MBP mean blood pressure, DoP double product, RPP rate pressure, product and bpm beats per minute, TC total cholesterol, TG triglyceride, HDL-C high-density lipoprotein cholesterol, LDL-C low-density lipoprotein cholesterol

*p < 0.05; **p < 0.01; and ***p < 0.001; comparisons were made between initial base line values and the values obtained after yogic practice of the respective group using paired “t” test. ¥¥ p < 0.01 and ¥¥¥ p < 0.001, as compared to pre-exposure values of group A; one-way ANOVA followed by Tukey–Kramer’s multiple comparison post hoc test was used to find out the difference between different age groups. ϕ p < 0.05; ϕϕ p < 0.01; as compared to pre-exposure values of group B; one-way ANOVA followed by Tukey–Kramer’s multiple comparison post hoc test were used to find out difference between different age groups