| Literature DB >> 35935391 |
Amir Reza Sajjadieh Khajouui1, Jamshid Najafian2, Reza Talebzadeh3, Majid Nejati4, Mohaddeseh Behjati5.
Abstract
Introduction: Coronary Atherosclerosis is the leading cause of death and disability worldwide. Atherosclerosis could be detected noninvasively by coronary calcification, measured by calcium score in CT angiography. Dietary factors are influential in the evolution of coronary plaques, and one of the most prevalent drinks is black tea. We aimed to evaluate the effects of black tea on coronary calcium scores.Entities:
Keywords: Atherosclerosis; Black Tea; Calcification; Coronary Artery
Year: 2022 PMID: 35935391 PMCID: PMC9339727 DOI: 10.34172/jcvtr.2022.12
Source DB: PubMed Journal: J Cardiovasc Thorac Res ISSN: 2008-5117
Figure 1Frequency of demographic characteristics and cardiac risk factors in terms of tea intake
|
|
|
| ||||||
|
|
|
|
|
|
|
| ||
| Age mean ± SD (year) | 57.46 ± 11.6 | 62.36 ± 9.97 | 0.02 | 62.4 ± 10 | 59.2 ± 11.9 | 55.8 ± 11.3 | 0.011 | |
| Sex N (%) | Male | 86(52.4) | 22(61.1) | 0.34 | 22(61.1) | 42(53.8) | 44(51.2) | 0.6 |
| Female | 78(47.6) | 14(38.9) | 14(38.9) | 36(46.2) | 42(48.8) | |||
| Occupation | Worker | 9(5.5) | 4(11.1) | 0.55 | 4(11.1) | 3(3.8) | 6(7) | 0.81 |
| Employee | 25(15.2) | 6(16.7) | 6(16.7) | 11(14.1) | 14(16.3) | |||
| Free job | 43(26.2) | 6(16.7) | 6(16.7) | 23(29.5) | 20(23.3) | |||
| Household | 67(40.9) | 14(38.9) | 14(38.9) | 31(39.7) | 36(41.9) | |||
| Retired | 20(12.2) | 6(16.7) | 6(16.7) | 10(12.8) | 10(11.6) | |||
| Cardiovascular risk factors | Family history | 74(45.1) | 14(38.9) | 0.5 | 14(38.9) | 38(48.7) | 36(41.9) | 0.54 |
| Hypertension | 72(43.9) | 16(44.4) | 0.95 | 16(44.4) | 32(41) | 40(46.5) | 0.78 | |
| Smoking | 19(11.6) | 8(22.2) | 0.091 | 8(22.2) | 8(10.3) | 11(12.8) | 0.21 | |
| Hyperlipidemia | 60(36.6) | 18(50) | 0.14 | 18(50) | 27(34.6) | 33(38.4) | 0.29 | |
| Diabetes | 26(15.9) | 9(25) | 0.19 | 9(25) | 9(11.5) | 17(19.8) | 0.16 | |
Figure 2Distribution of demographic variables, cardiovascular risk factors and tea intake based on calcium scores
|
|
|
| |
| Age | <50 | 87.7 ± 28 | <0.001 |
| ≥ 50 | 379.6 ± 42.9 | ||
| Sex | Male | 292.2 ± 43.2 | 0.62 |
| Female | 326.7 ± 54.8 | ||
| Occupation | Worker | 253 ± 129.5 | 0.87 |
| Employer | 230.5 ± 63.4 | ||
| Free job | 325.8 ± 69.3 | ||
| Household | 331.4 ± 60.5 | ||
| Retired | 321.9 ± 88.3 | ||
| Tea consumption (glasses) | No | 674.9 ± 154.7 | 0.001 |
| 1-3 | 269.5 ± 46.9 | ||
| ≥ 3 | 261.1 ± 45.2 | ||
| Family history | Yes | 314.8 ± 47.5 | 0.82 |
| No | 299.4 ± 49.4 | ||
| Hypertension | Yes | 252.4 ± 41.6 | 0.07 |
| No | 378.9 ± 56.5 | ||
| Smoking | Yes | 635.8 ± 147.1 | <0.001 |
| No | 256.9 ± 30.8 | ||
| Hyperlipidemia | Yes | 451.1 ± 69.1 | <0.001 |
| No | 216.6 ± 32.4 | ||
| Diabetes | Yes | 414.9 ± 98.4 | 0.08 |
| No | 263.7 ± 33.5 |
Figure 3Frequency of disease stage in terms of tea consumption
|
|
|
| |||
|
|
|
| |||
| Number of affected vessels (%) | Normal | 5(23.8) | 27(32.1) | 29(30.5) | 0.16 |
| Inconsiderable | 2(9.5) | 27(32.1) | 27(28.4) | ||
| One vessel | 1(4.8) | 9(10.7) | 12(12.6) | ||
| Two vessel | 4(19) | 5(6) | 7(7.4) | ||
| Three vessel | 9(42.9) | 16( 19) | 20(21.1) | ||
| Coronary artery disease | Non-significant | 7(33.3) | 54(64.3) | 56(58.9) | 0.037 |
| Significant | 14(66.7) | 30(35.7) | 39(41.1) | ||
Effect of demographic variables, cardiovascular risk factors and tea intake on calcium scores
|
|
|
|
| ||||
|
|
|
|
|
|
| ||
| Tea consumption | Yes | 102(91.9) | 77(86.5) | 4.65(1.66-13.06 | 0.004 | 4.36(1.84-10.36) | 0.001 |
| no | 9(8.1) | 12(13.5) | |||||
| Amount of tea consumption | No | 9(8.1) | 12(13.5) | 1.11(0.63-1.95) | 0.7 | - | - |
| 1-3 glasses | 45(40.5) | 39(43.8) | |||||
| ≥ 3 glasses | 57(51.4) | 38(42.7) | |||||
| Age | <50 | 39(35.1) | 10(11.2) | 3.73(1.62-8.61) | 0.002 | 3.57(1.62-7.87) | 0.002 |
| ≥ 50 | 72(64.9) | 79(88.8) | |||||
| Sex | Female | 52(46.8) | 40(44.9) | 1.25(0.58-2.65 | 0.57 | - | - |
| Male | 59(53.2) | 49(55.1) | |||||
| Occupation | Worker | 9(8.1) | 4(4.5) | 0.98(0.71-1.36 | 0.91 | - | - |
| Employer | 19(17.1) | 12(13.5) | |||||
| Free job | 23(20.7) | 26(29.2) | |||||
| Household | 47(42.3) | 34(38.2) | |||||
| Retired | 13(11.7) | 13(14.6) | |||||
| Family history | No | 61(55) | 51(57.3) | 1.04(0.55-1.98) | 0.90 | - | - |
| yes | 50(45) | 38(42.7) | |||||
| Hypertension | No | 69(62.2) | 43(48.3) | 1.84(0.93-3.62) | 0.079 | 1.79(0.97-3.33) | 0.064 |
| Yes | 42(37.8) | 46(51.7) | |||||
| Smoking | No | 101(91) | 72(80.9) | 2.04(0.79-5.3) | 0.14 | 2.26(0.9-5.67) | 0.082 |
| Yes | 10(9) | 17(19.1) | |||||
| Hyperlipidemia | No | 74(66.7) | 48(53.9) | 1.26(0.65-2.43) | 0.5 | - | - |
| Yes | 37(33.3) | 41(46.1) | |||||
| Diabetes | No | 93(82.8) | 72(80.9) | 0.86(0.37-2) | 0.72 | - | - |
| Yes | 18(16.2) | 17(19.1) | |||||
*Using Logistic regression by Inter method. ** Using Logistic regression by backward conditional method