| Literature DB >> 29203966 |
Yutaka Odanaka1, Kimitaka Takitani1, Hiroshi Katayama1, Hiroshi Fujiwara2, Kanta Kishi1, Noriyasu Ozaki1, Atsuko Ashida1, Ryuzo Takaya3, Hiroshi Tamai1.
Abstract
Endothelial dysfunction is the early predictive factor for the development of atherosclerosis and future cardiovascular diseases in adulthood. The prevalence of endothelial dysfunction in children and early adolescents is increasing worldwide. Peripheral arterial tonometry is a noninvasive technique for assessing peripheral microvascular function and is used as a validated marker of endothelial function. We assessed anthropometric parameters, blood pressure, arterial stiffness, and peripheral endothelial function in 157 Japanese early adolescents (75 boys and 82 girls). We measured peripheral endothelial function by using peripheral arterial tonometry to determine the reactive hyperemia index, and assessed the association of reactive hyperemia index with parameters of anthropometry and arterial stiffness. The mean reactive hyperemia index of all subjects was 1.85 ± 0.6, and there was no difference of reactive hyperemia index according to sex. Reactive hyperemia index was significantly associated with systolic and diastolic blood pressures, and had no correlation with anthropometric parameters and arterial stiffness markers. The reactive hyperemia index values among Japanese early adolescents were similar to those reported in previous studies on children and early adolescents. This noninvasive technique may be useful for the assessment of microvascular endothelial function among children and early adolescents.Entities:
Keywords: early adolescents; endothelial function; peripheral arterial tonometry
Year: 2017 PMID: 29203966 PMCID: PMC5703786 DOI: 10.3164/jcbn.17-58
Source DB: PubMed Journal: J Clin Biochem Nutr ISSN: 0912-0009 Impact factor: 3.114
The clinical characteristics for healthy adolescents
| Mean ± SD, median (IQR) | Total ( | Male ( | Female ( | |
|---|---|---|---|---|
| Age | 14 (1) | 14 (2) | 14 (1) | 0.45 |
| Height | 160.0 ± 7.1 | 163.8 ± 6.7 | 156.4 ± 5.3 | <0.0001 |
| Weight | 48.5 ± 6.3 | 50.5 ± 6.5 | 46.7 ± 5.5 | 0.0001 |
| Waist circumference | 66.0 ± 4.9 | 66.8 ± 4.7 | 65.2 ± 5.0 | 0.01 |
| Body fat percentage | 15.7 ± 4.8 | 12.3 ± 3.8 | 18.9 ± 3.0 | <.0001 |
| BMI percentage | 38 ± 21 | 38 ± 22 | 38 ± 20 | 0.78 |
| SBP | 113 ± 13 | 114 ± 13 | 111 ± 12 | 0.12 |
| DBP | 64 ± 10 | 64 ± 10 | 64 ± 9 | 0.46 |
| HR | 70.5 ± 9.6 | 68.9 ± 8.5 | 72.0 ± 10.2 | 0.04 |
| RHI | 1.85 ± 0.60 | 1.82 ± 0.66 | 1.87 ± 0.54 | 0.27 |
| R-PWV | 909 ± 105 | 914 ± 119 | 904 ± 91 | 0.66 |
| L-PWV | 917 ± 108 | 919 ± 14 | 915 ± 93 | 0.94 |
| R-ABI | 1.02 ± 0.09 | 1.03 ± 0.09 | 1.02 ± 0.08 | 0.59 |
| L-ABI | 1.03 ± 0.10 | 1.03 ± 0.10 | 1.02 ± 0.10 | 0.38 |
PWV, brachial-ankle wave velocity; ABI, ankle brachial index; SBP, systolic BP; DBP, diastolic BP; HR, heart rate; IQR, interquartile range. Data were analyzed with ANOVA, the nonparametric Kruskal-Waillis signed-rank test, or the χ2 test.
Fig. 1Change of reactive hyperemia index (RHI) with age among boys and girls. Number of subjects and mean ± SD by age are represented.
Significant determinants of RHI univariate correlation analysis
| r value | ||
|---|---|---|
| Age | 0.78 | 0.43 |
| Height | –0.52 | 0.6 |
| BW | 0.12 | 0.9 |
| Waist circumference | 0.58 | 0.56 |
| Body fat percentage | 0.41 | 0.68 |
| BMI percentile | 0.29 | 0.76 |
| SBP | –2.48 | 0.01 |
| DBP | –4.26 | <0.0001 |
| HR | 0.28 | 0.77 |
| R-PWV | 1.44 | 0.15 |
| L-PWV | 1.41 | 0.16 |
| R-ABI | 1.85 | 0.06 |
| L-ABI | 2.12 | 0.03 |
Abbreviations are listed in Table 1.
Significant determinants of RHI multiple correlation analysis
| r value | ||
|---|---|---|
| Age | 0.75 | 0.45 |
| Height | –0.09 | 0.92 |
| Weight | 0.29 | 0.77 |
| Waist circumference | 0.56 | 0.57 |
| Body fat percentage | –0.36 | 0.71 |
| BMI percentile | 0.03 | 0.97 |
| SBP | –2.13 | 0.03 |
| DBP | –3.21 | 0.001 |
| HR | 1.42 | 0.16 |
| R-PWV | –0.16 | 0.87 |
| L-PWV | 1.05 | 0.29 |
| R-ABI | 0.95 | 0.34 |
| L-ABI | 1.37 | 0.17 |
Abbreviations are listed in Table 1.