| Literature DB >> 34463897 |
Ji Bian1, Man Zhang2, Feng Li3, Jie Gao4, Zhexue Wei1, Zijing Liu1, Xiaoming Wang2, Wen Jiang2, Jianchao Bian5.
Abstract
Iodine excess typically affects thyroid function in the human body and may damage carotid artery. Four investigation plots with different water iodine levels were selected in Shandong Province, China. These included a low, medium, and high iodine group and an iodine excess group whose water iodine content was < 10, 50-150, 150-300, and > 300 μg/L, respectively. Residents aged 20-65 years answered a questionnaire and underwent carotid artery ultrasonography, and their height, weight, and urinary iodine concentrations were measured. A total of 2026 individuals participated in the study. Urinary iodine concentration increased with increased water iodine levels. The medial thickening rate and intimal roughness rate in the iodine excess group were significantly higher than in the other three groups. After controlling for factors such as gender, age, and BMI, iodine excess remained as a risk factor for carotid intima-media thickening. Excess water iodine in the external environment is a risk factor for intima-media thickening of the carotid artery, suggesting that iodine excess may cause vascular injury and promote atherosclerosis.Entities:
Keywords: Atherosclerosis; Carotid artery; Intima-media thickness; Iodine excess
Mesh:
Substances:
Year: 2021 PMID: 34463897 PMCID: PMC9132815 DOI: 10.1007/s12011-021-02872-2
Source DB: PubMed Journal: Biol Trace Elem Res ISSN: 0163-4984 Impact factor: 4.081
Characteristics of the study participants, by group
| Variable | Low | Medium | High | Excessive |
|---|---|---|---|---|
| Gender | ||||
| Male | 184 | 153 | 213 | 175 |
| Female | 306 | 336 | 336 | 323 |
| Age | 49.89 ± 9.17 | 48.27 ± 9.70 | 49.64 ± 10.05 | 48.98 ± 9.60 |
| Wine | ||||
| Never | 346 | 368 | 379 | 371 |
| Drinking | 135 | 115 | 149 | 116 |
| Ever | 9 | 6 | 21 | 11 |
| Smoking | ||||
| Never | 361 | 401 | 394 | 396 |
| Smoking | 106 | 71 | 131 | 81 |
| Ever | 23 | 17 | 24 | 21 |
| Prevalence of hypertension | 25.51% | 18.20% | 21.68% | 27.31% |
| Prevalence of diabetes | 4.49% | 3.89% | 4.37% | 6.63% |
| BMI | ||||
| < 24 | 178 | 186 | 230 | 154 |
| 24–28 | 198 | 173 | 183 | 203 |
| ≥ 28 | 114 | 130 | 136 | 141 |
BMI was calculated by height and weight and categorized as < 24 kg/m2, 24–28 kg/m2, and > 28 kg/m2, according to guidelines for the prevention and control of overweight and obesity in Chinese adults
Distribution of urinary iodine, by group
| Percentile | Low | Medium | High | Excessive |
|---|---|---|---|---|
| 25 | 61.50 | 144.25 | 171.30 | 517.95 |
| 50 | 93.20 | 235.60 | 276.80 | 829.80 |
| 75 | 157.40 | 372.40 | 488.50 | 1264.95 |
Morphology and hemodynamic indexes of the carotid artery, by group
| Variable | Low | Medium | High | Excessive | |
|---|---|---|---|---|---|
| Left | D (mm) | 6.3 ± 0.74 | 5.86 ± 0.74* | 5.89 ± 0.74* | 5.99 ± 0.86*#& |
| PSV (cm/s) | 73.50 ± 15.96 | 73.76 ± 18.59 | 73.71 ± 18.31 | 80.61 ± 19.19*#& | |
| EDV (cm/s) | 22.06 ± 6.23 | 21.09 ± 6.27 | 22.07 ± 6.92 | 22.05 ± 7.88 | |
| RI | 0.69 ± 0.08 | 0.71 ± 0.07 | 0.70 ± 0.08 | 0.72 ± 0.14*& | |
| PI | 1.08 ± 0.18 | 1.11 ± 0.18* | 1.08 ± 0.19 | 1.14 ± 0.23*#& | |
| IMT | 0.67 ± 0.13 | 0.63 ± 0.16* | 0.65 ± 0.20 | 0.74 ± 0.26*#& | |
| Right | D (mm) | 6.43 ± 0.71 | 5.85 ± 0.75* | 5.99 ± 0.79*# | 6.05 ± 0.74*# |
| PSV (cm/s) | 72.79 ± 16.28 | 70.67 ± 18.24 | 72.79 ± 17.99 | 73.29 ± 17.71 | |
| EDV (cm/s) | 21.21 ± 5.80 | 20.84 ± 7.14 | 21.21 ± 6.09 | 19.97 ± 7.83*& | |
| RI | 0.70 ± 0.07 | 0.70 ± 0.08 | 0.70 ± 0.08 | 0.71 ± 0.19 | |
| PI | 1.10 ± 0.17 | 1.09 ± 0.19 | 1.10 ± 0.17 | 1.14 ± 0.24*#& | |
| IMT | 0.67 ± 0.13 | 0.63 ± 0.15* | 0.64 ± 0.16* | 0.75 ± 0.23*#& | |
| Intima-media thickening | 4.24% | 5.70% | 7.54%* | 22.81%*#& | |
| Roughness rate | 31.53% | 35.63% | 31.48% | 42.38%*#& | |
D internal diameter of the carotid artery, PSV peak systolic velocity, EDV end diastolic velocity, RI resistance index, PI pulsatility index, IMT intima-media thickness of the carotid artery. *p < 0.05 vs. low group, #p < 0.05 vs. medium group, &p < 0.05 vs. high group
Logistic regression analysis of carotid intima-media thickening
| Index | Coefficient of partial regression β | Wald χ2 | OR | 95% Confidence interval | ||
|---|---|---|---|---|---|---|
| Iodine group | 121.130 | 0.000 | ||||
| Low | Reference | |||||
| Medium | 0.491 | 2.100 | 0.147 | 1.634 | 0.841 | 3.176 |
| High | 0.579 | 4.169 | 0.041 | 1.785 | 1.023 | 3.113 |
| Excessive | 2.133 | 72.190 | 0.000 | 8.443 | 5.161 | 13.811 |
| BMI | 7.905 | 0.019 | ||||
| < 24 kg/m2 | Reference | |||||
| 24–28 kg/m2 | -0.021 | 0.012 | 0.912 | 0.979 | 0.670 | 1.429 |
| > 28 kg/m2 | 0.456 | 5.089 | 0.024 | 1.578 | 1.062 | 2.347 |
| Age | 35.525 | 0.000 | ||||
| 20–40 | Reference | |||||
| 40–50 | 0.341 | 1.145 | 0.285 | 1.406 | 0.753 | 2.624 |
| 50–60 | 0.949 | 9.713 | 0.002 | 2.582 | 1.422 | 4.689 |
| 60–65 | 1.515 | 21.923 | 0.000 | 4.550 | 2.413 | 8.579 |
| Hypertension | 0.783 | 22.177 | 0.000 | 2.189 | 1.580 | 3.032 |
| Smoking | 7.421 | 0.024 | ||||
| No smoking | Reference | |||||
| Smoking at present | 0.627 | 7.420 | 0.006 | 1.872 | 1.192 | 2.938 |
| Smoking in the past | 0.380 | 1.023 | 0.312 | 1.462 | 0.701 | 3.050 |
| Constant | -4.370 | 101.820 | 0.000 | 0.013 | ||
BMI was calculated by height and weight and categorized as < 24 kg/m2, 24–28 kg/m2, and > 28 kg/m2, according to guidelines for the prevention and control of overweight and obesity in Chinese adults. Age was categorized as 20–40, 40–50, 50–60, and 60–65 years old