Predictive power of a body shape index and traditional anthropometric indicators for cardiovascular disease: a cohort study in rural Xinjiang, China
Background A body shape index (ABSI) has been proven to be related to a population’s CVD incidence. However, the application of this indicator has produced different results. Aim This study aimed to evaluate the applicability of the ABSI in predicting the incidence of CVD in rural Xinjiang, China, a...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-01-01
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| Series: | Annals of Human Biology |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/03014460.2022.2049874 |
| _version_ | 1797685199455125504 |
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| author | Tao Wu Bin Wei Yan-peng Song Xiang-hui Zhang Yi-zhong Yan Xin-ping Wang Jiao-long Ma Mulatibieke Keerman Jing-yu Zhang Jia He Ru-lin Ma Heng Guo Dong-sheng Rui Shu-xia Guo |
| author_facet | Tao Wu Bin Wei Yan-peng Song Xiang-hui Zhang Yi-zhong Yan Xin-ping Wang Jiao-long Ma Mulatibieke Keerman Jing-yu Zhang Jia He Ru-lin Ma Heng Guo Dong-sheng Rui Shu-xia Guo |
| author_sort | Tao Wu |
| collection | DOAJ |
| description | Background A body shape index (ABSI) has been proven to be related to a population’s CVD incidence. However, the application of this indicator has produced different results. Aim This study aimed to evaluate the applicability of the ABSI in predicting the incidence of CVD in rural Xinjiang, China, and compare it with waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and body mass index (BMI). Subjects and methods 5375 people aged 18 years or older were included in the study. We used the Cox proportional hazard model to evaluate the relationship between WC, WHR, WHtR, BMI, and ABSI and the incidence of CVD, the area under the curve (AUC) to evaluate the predictive power of each anthropometric index for the incidence of CVD, and restricted cubic splines are used to analyse the trend relationship between anthropometric indicators and the incidence of CVD. Results After multivariate adjustment, standardised WC, WHR, WHtR, BMI, and ABSI all positively correlated with the incidence of CVD. WC had the highest HR (95% CI) value, 1.64 (1.51–1.78), and AUC (95% CI) value, 0.7743 (0.7537–0.7949). ABSI had the lowest HR (95% CI) value, 1.21(1.10–1.32), and AUC (95% CI) value, 0.7419 (0.7208–0.7630). In the sex-specific sensitivity analysis, the predictive ability of traditional anthropometric indicators for the incidence of CVD is higher than that of ABSI. Conclusions In the rural areas of Xinjiang, the traditional anthropometric indicators of WC had better ability to predict the incidence of CVD than ABSI. |
| first_indexed | 2024-03-12T00:40:43Z |
| format | Article |
| id | doaj.art-dde92fb5d9f64fa9b8be9736f33ed6c2 |
| institution | Directory Open Access Journal |
| issn | 0301-4460 1464-5033 |
| language | English |
| last_indexed | 2024-03-12T00:40:43Z |
| publishDate | 2022-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Annals of Human Biology |
| spelling | doaj.art-dde92fb5d9f64fa9b8be9736f33ed6c22023-09-15T08:45:19ZengTaylor & Francis GroupAnnals of Human Biology0301-44601464-50332022-01-01491273410.1080/03014460.2022.20498742049874Predictive power of a body shape index and traditional anthropometric indicators for cardiovascular disease: a cohort study in rural Xinjiang, ChinaTao Wu0Bin Wei1Yan-peng Song2Xiang-hui Zhang3Yi-zhong Yan4Xin-ping Wang5Jiao-long Ma6Mulatibieke Keerman7Jing-yu Zhang8Jia He9Ru-lin Ma10Heng Guo11Dong-sheng Rui12Shu-xia Guo13Department of Public Health, Shihezi University School of MedicineThe First Affiliated Hospital of Shihezi University Medical CollegeThe First Affiliated Hospital of Shihezi University Medical CollegeDepartment of Public Health, Shihezi University School of MedicineDepartment of Public Health, Shihezi University School of MedicineDepartment of Public Health, Shihezi University School of MedicineDepartment of Public Health, Shihezi University School of MedicineDepartment of Public Health, Shihezi University School of MedicineDepartment of Public Health, Shihezi University School of MedicineDepartment of Public Health, Shihezi University School of MedicineDepartment of Public Health, Shihezi University School of MedicineDepartment of Public Health, Shihezi University School of MedicineDepartment of Public Health, Shihezi University School of MedicineDepartment of Public Health, Shihezi University School of MedicineBackground A body shape index (ABSI) has been proven to be related to a population’s CVD incidence. However, the application of this indicator has produced different results. Aim This study aimed to evaluate the applicability of the ABSI in predicting the incidence of CVD in rural Xinjiang, China, and compare it with waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and body mass index (BMI). Subjects and methods 5375 people aged 18 years or older were included in the study. We used the Cox proportional hazard model to evaluate the relationship between WC, WHR, WHtR, BMI, and ABSI and the incidence of CVD, the area under the curve (AUC) to evaluate the predictive power of each anthropometric index for the incidence of CVD, and restricted cubic splines are used to analyse the trend relationship between anthropometric indicators and the incidence of CVD. Results After multivariate adjustment, standardised WC, WHR, WHtR, BMI, and ABSI all positively correlated with the incidence of CVD. WC had the highest HR (95% CI) value, 1.64 (1.51–1.78), and AUC (95% CI) value, 0.7743 (0.7537–0.7949). ABSI had the lowest HR (95% CI) value, 1.21(1.10–1.32), and AUC (95% CI) value, 0.7419 (0.7208–0.7630). In the sex-specific sensitivity analysis, the predictive ability of traditional anthropometric indicators for the incidence of CVD is higher than that of ABSI. Conclusions In the rural areas of Xinjiang, the traditional anthropometric indicators of WC had better ability to predict the incidence of CVD than ABSI.http://dx.doi.org/10.1080/03014460.2022.2049874body mass indexwaist circumferencewaist-to-height ratiochinese uygurchinese kazakh |
| spellingShingle | Tao Wu Bin Wei Yan-peng Song Xiang-hui Zhang Yi-zhong Yan Xin-ping Wang Jiao-long Ma Mulatibieke Keerman Jing-yu Zhang Jia He Ru-lin Ma Heng Guo Dong-sheng Rui Shu-xia Guo Predictive power of a body shape index and traditional anthropometric indicators for cardiovascular disease: a cohort study in rural Xinjiang, China Annals of Human Biology body mass index waist circumference waist-to-height ratio chinese uygur chinese kazakh |
| title | Predictive power of a body shape index and traditional anthropometric indicators for cardiovascular disease: a cohort study in rural Xinjiang, China |
| title_full | Predictive power of a body shape index and traditional anthropometric indicators for cardiovascular disease: a cohort study in rural Xinjiang, China |
| title_fullStr | Predictive power of a body shape index and traditional anthropometric indicators for cardiovascular disease: a cohort study in rural Xinjiang, China |
| title_full_unstemmed | Predictive power of a body shape index and traditional anthropometric indicators for cardiovascular disease: a cohort study in rural Xinjiang, China |
| title_short | Predictive power of a body shape index and traditional anthropometric indicators for cardiovascular disease: a cohort study in rural Xinjiang, China |
| title_sort | predictive power of a body shape index and traditional anthropometric indicators for cardiovascular disease a cohort study in rural xinjiang china |
| topic | body mass index waist circumference waist-to-height ratio chinese uygur chinese kazakh |
| url | http://dx.doi.org/10.1080/03014460.2022.2049874 |
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