| Literature DB >> 35659192 |
Yingwei Wang1, Guangxia Li2, Jing Qi3, Ting Gong4, Xiudong Li1, Fanghe Liu5, Xuejing Bi6, Yang Zhao6, Meihua Liang7, Xiaodong Zheng8, Yuandong Qiao9.
Abstract
BACKGROUND: Endothelial dysfunction appears early in the development of cardiovascular disease and is associated with type 2 diabetes. We, therefore, tested the hypothesis that endothelial dysfunction is already present in healthy Chinese adolescent participants at risk of type 2 diabetes and associates with physical activity.Entities:
Keywords: Flow-mediated dilation; Physical activity; Type 2 diabetes
Mesh:
Year: 2022 PMID: 35659192 PMCID: PMC9164499 DOI: 10.1186/s12872-022-02653-2
Source DB: PubMed Journal: BMC Cardiovasc Disord ISSN: 1471-2261 Impact factor: 2.174
Demographic characteristics of Chinese adolescent with a family history versus control adolescent
| Control group (n = 62) | Group with family | ||
|---|---|---|---|
| Age (years) | 20.16 ± 0.16 | 19.92 ± 0.15 | 0.2695 |
| Gender (males %) | 29 (46.77) | 23 (35.38) | 0.1920 |
| BMI (kg/m2) | 21.21 ± 0.33 | 22.57 ± 0.51 | 0.0300* |
| Vessel size (mm) | 2.958 ± 0.062 | 2.902 ± 0.052 | 0.4915 |
| Total cholesterol (mg/dL) | 4.31 ± 0.09 | 4.35 ± 0.11 | 0.7487 |
| HDL-c (mg/dL) | 1.37 ± 0.03 | 1.33 ± 0.04 | 0.3962 |
| LDL-c (mg/dL) | 2.61 ± 0.10 | 2.62 ± 0.09 | 0.9269 |
| Glucose (mmol/L) | 4.70 ± 0.04 | 4.66 ± 0.04 | 0.4948 |
| GHb | 5.38 ± 0.02 | 5.36 ± 0.03 | 0.6491 |
| CRP (mg/dL) | 1.08 ± 0.15 | 1.38 ± 0.21 | 0.2577 |
Data are means ± S.E.M. P values were calculated using Student's t-test analysis
Noncategorical parameters were compared by the chi-square test
CRP C-reactive protein, GHb glycated hemoglobin
*P < 0.05
Fig. 1Compare FMD in control and healthy Chinese adolescents with a family history of type 2 diabetes (T2D). A Females display better FMD compare with the males in the whole cohort participants. B FMD was lower in participants with a family history of type 2 diabetes (T2D). P values were calculated using Student's t-test analysis
Associaton between metabolic profiles level and presence of FMD across the family history of T2D
| Control | With a family history of T2D | |||
|---|---|---|---|---|
| r (%95 CI) | r (%95 CI) | |||
| Cholesterol | − 0.1204 (− 0.3576 to 0.1313) | 0.3471 | 0.1012 (− 0.1445 to 0.3350) | 0.4190 |
| HDL | 0.4619 (0.2417–0.6368) | 0.0001 | 0.4960 (0.2885 to 0.6589) | < 0.0001 |
| LDL | − 0.2431 (− 0.4630 to 0.00503) | 0.0549 | 0.08992 (− 0.1556 to 0.3249) | 0.4727 |
| Glucose | − 0.06423 (− 0.3072 to 0.1866) | 0.6170 | − 0.1013 (− 0.3352 to 0.1443) | 0.4181 |
| CRP | 0.1207 (− 0.1310 to 0.3579) | 0.3459 | − 0.06875 (− 0.3058 to 0.1763) | 0.5833 |
| HbAlc | 0.1074 (− 0.1442 to 0.3460) | 0.4020 | 0.01497 (− 0.2279 to 0.2561) | 0.9050 |
Data are presented as means ± S.E.M. or as median (interquartile range) for non-normally distributed variables. P values were calculated using ANOVA
CI confidence interval
Fig. 2The intercorrelation between FMD and PA score. A Compare PA scores in control and healthy Chinese adolescents with a family history of type 2 diabetes (T2D). B The intercorrelation between FMD and PA scores in the whole cohort. C The intercorrelation between FMD and PA scores in control male adolescent. D The intercorrelation between FMD and PA scores in male adolescent with a family history of T2D. E The intercorrelation between FMD and PA scores in control female adolescent. F The intercorrelation between FMD and PA scores in female adolescents with a family history of T2D. P values were calculated using Student's t-test analysis. Correlation analysis was done by Pearson correlation