The Value of Four Anthropometric Indicators for Identifying Left Ventricular Hypertrophy in Chinese Hypertensive Patients
Left ventricular hypertrophy (LVH) has been classified separately as an independent risk factor for hypertension. However, comparisons between different body size indices and left ventricular hypertrophy (LVH) in hypertensive populations have not been reported yet. In this study, we enrolled 4,639 h...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | International Journal of Hypertension |
| Online Access: | http://dx.doi.org/10.1155/2022/6842825 |
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| author | Bokai Cheng Nan Lu Ge Song Jiaojiao Qiu Jing Dong Shuang Cai Yongkang Su Jin Sun Anhang Zhang Qiligeer Bao Man Li Shouyuan Ma Yan Zhang Ping Zhu Shuxia Wang |
| author_facet | Bokai Cheng Nan Lu Ge Song Jiaojiao Qiu Jing Dong Shuang Cai Yongkang Su Jin Sun Anhang Zhang Qiligeer Bao Man Li Shouyuan Ma Yan Zhang Ping Zhu Shuxia Wang |
| author_sort | Bokai Cheng |
| collection | DOAJ |
| description | Left ventricular hypertrophy (LVH) has been classified separately as an independent risk factor for hypertension. However, comparisons between different body size indices and left ventricular hypertrophy (LVH) in hypertensive populations have not been reported yet. In this study, we enrolled 4,639 hypertensive patients from rural China. Anthropometric indices and cardiovascular disease risk factor variables were measured and analyzed using Spearman’s correlation, logistic regression, and receiver operating characteristic (ROC) curve analyses. Patients in the highest quartile of body size indices were more likely to have left ventricular hypertrophy than those in the lowest quartile; these indices were BMI (adjusted OR: 3.55, 95% CI: 2.90; 4.35), WC (adjusted OR: 2.23, 95% CI: 1.84; 2.70), WHR (adjusted OR: 1.44, 95% CI: 1.18; 1.75), and WHtR (adjusted OR: 3.23, 95% CI: 2.62; 3.99). The areas under the ROC curves of BMI (AUC: 0.628, 95% CI: 0.612; 0.644), WHtR (AUC: 0.628, 95% CI: 0.560; 0.593), WHR (AUC: 0.530, 95% CI: 0.513; 0.547), and WC (AUC: 0.576, 95% CI: 0.513; 0.547) were all above 0.5, which indicated that the four anthropometric indicators may be associated with LVH. The four anthropometric indicators of obesity were identified as risk factors for LVH. Weight control might help reduce the risk of left ventricular hypertrophy. |
| format | Article |
| id | doaj-art-f1b93bfc67544338904b4994a942fd1e |
| institution | Kabale University |
| issn | 2090-0392 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Hypertension |
| spelling | doaj-art-f1b93bfc67544338904b4994a942fd1e2025-02-03T01:06:35ZengWileyInternational Journal of Hypertension2090-03922022-01-01202210.1155/2022/6842825The Value of Four Anthropometric Indicators for Identifying Left Ventricular Hypertrophy in Chinese Hypertensive PatientsBokai Cheng0Nan Lu1Ge Song2Jiaojiao Qiu3Jing Dong4Shuang Cai5Yongkang Su6Jin Sun7Anhang Zhang8Qiligeer Bao9Man Li10Shouyuan Ma11Yan Zhang12Ping Zhu13Shuxia Wang14Medical School of Chinese PLAMedical School of Chinese PLADepartment of GeriatricsDepartment of GeriatricsDepartment of GeriatricsMedical School of Chinese PLAMedical School of Chinese PLAMedical School of Chinese PLAMedical School of Chinese PLAMedical School of Chinese PLAMedical School of Chinese PLADepartment of Geriatric CardiologyDepartment of OutpatientMedical School of Chinese PLAMedical School of Chinese PLALeft ventricular hypertrophy (LVH) has been classified separately as an independent risk factor for hypertension. However, comparisons between different body size indices and left ventricular hypertrophy (LVH) in hypertensive populations have not been reported yet. In this study, we enrolled 4,639 hypertensive patients from rural China. Anthropometric indices and cardiovascular disease risk factor variables were measured and analyzed using Spearman’s correlation, logistic regression, and receiver operating characteristic (ROC) curve analyses. Patients in the highest quartile of body size indices were more likely to have left ventricular hypertrophy than those in the lowest quartile; these indices were BMI (adjusted OR: 3.55, 95% CI: 2.90; 4.35), WC (adjusted OR: 2.23, 95% CI: 1.84; 2.70), WHR (adjusted OR: 1.44, 95% CI: 1.18; 1.75), and WHtR (adjusted OR: 3.23, 95% CI: 2.62; 3.99). The areas under the ROC curves of BMI (AUC: 0.628, 95% CI: 0.612; 0.644), WHtR (AUC: 0.628, 95% CI: 0.560; 0.593), WHR (AUC: 0.530, 95% CI: 0.513; 0.547), and WC (AUC: 0.576, 95% CI: 0.513; 0.547) were all above 0.5, which indicated that the four anthropometric indicators may be associated with LVH. The four anthropometric indicators of obesity were identified as risk factors for LVH. Weight control might help reduce the risk of left ventricular hypertrophy.http://dx.doi.org/10.1155/2022/6842825 |
| spellingShingle | Bokai Cheng Nan Lu Ge Song Jiaojiao Qiu Jing Dong Shuang Cai Yongkang Su Jin Sun Anhang Zhang Qiligeer Bao Man Li Shouyuan Ma Yan Zhang Ping Zhu Shuxia Wang The Value of Four Anthropometric Indicators for Identifying Left Ventricular Hypertrophy in Chinese Hypertensive Patients International Journal of Hypertension |
| title | The Value of Four Anthropometric Indicators for Identifying Left Ventricular Hypertrophy in Chinese Hypertensive Patients |
| title_full | The Value of Four Anthropometric Indicators for Identifying Left Ventricular Hypertrophy in Chinese Hypertensive Patients |
| title_fullStr | The Value of Four Anthropometric Indicators for Identifying Left Ventricular Hypertrophy in Chinese Hypertensive Patients |
| title_full_unstemmed | The Value of Four Anthropometric Indicators for Identifying Left Ventricular Hypertrophy in Chinese Hypertensive Patients |
| title_short | The Value of Four Anthropometric Indicators for Identifying Left Ventricular Hypertrophy in Chinese Hypertensive Patients |
| title_sort | value of four anthropometric indicators for identifying left ventricular hypertrophy in chinese hypertensive patients |
| url | http://dx.doi.org/10.1155/2022/6842825 |
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