Gang Li1, Hui-Kun Wu2, Xiao-Wei Wu3, Zhe Cao4, Yuan-Chao Tu5, Yi Ma6, Bo-Ning Li6, Qiu-Yue Peng6, Jian Cheng7, Bing Wu8, Zhongyu Zhou9. 1. Emergency Department, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China; Hubei Province Academy of Traditional Chinese Medicine, Wuhan, China. Electronic address: marty007@163.com. 2. Department of Hepatology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China; Institute of Hepatology, Hubei Province Academy of Traditional Chinese Medicine, Wuhan, China. 3. Department of Thoracic Surgery, TongJi Hospital, TongJi Medical College, Huazhong University of Science and Technology, Wuhan, China. 4. Department of Cardiology, The Central Hospital of Wuhan, Wuhan, China. 5. Hubei Province Academy of Traditional Chinese Medicine, Wuhan, China. 6. Emergency Department, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China. 7. Emergency Department, Wuhan General Hospital of Guangzhou Military Command, Wuhan, China. 8. Department of Cardiology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China. 9. Department of Acupuncture, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.
Abstract
OBJECTIVES: A body shape index (ABSI) and body roundness index (BRI) were reported to predict diabetes and hypertension in general population, but their validity was regularly questioned. The aim of this study was to evaluate whether ABSI and BRI are the best anthropometric indices to reflect metabolic syndrome (MetS), insulin resistance (IR), and inflammatory factors in obese and overweight Chinese adults. METHODS: Cross-sectional data on sociodemographic, lifestyle, anthropometric indices, clinical characteristics, and biochemical measurements were collected for 1442 Chinese obese and overweight adults. Logistic regression analysis examined the associations between anthropometric indices with incidences of MetS and IR in both sexes. Furthermore, the correlation between anthropometric indices and inflammatory factors was assessed. RESULTS: Multivariate regression analysis depicting BRI and waist circumference (WC) were associated significantly with MetS and IR. BRI had the highest odds ratios (ORs) for IR and WC had the highest ORs for MetS in all anthropometric indices. However, ABSI did not exhibit any association between the MetS and IR. The ABSI adjusted regression coefficients (β values) were 0.403 for high-sensitivity C reactive protein, 0.077 for tumor necrosis factor-α, and 0.022 for interleukin-6. BRI and WC were also significantly associated with three inflammatory factors. Comparing the lowest with the highest quintile, BRI had the largest ORs for MetS (OR, 5.778; 95% confidence interval [CI], 2.954-11.303; P < 0.01) and IR (OR, 6.212; 95% CI, 2.912-13.250; P < 0.01). CONCLUSION: Only BRI and WC, not ABSI, can significantly determine the presence of MetS and IR. BRI showed the optimal capability to identify IR in obese and overweight population.
OBJECTIVES: A body shape index (ABSI) and body roundness index (BRI) were reported to predict diabetes and hypertension in general population, but their validity was regularly questioned. The aim of this study was to evaluate whether ABSI and BRI are the best anthropometric indices to reflect metabolic syndrome (MetS), insulin resistance (IR), and inflammatory factors in obese and overweight Chinese adults. METHODS: Cross-sectional data on sociodemographic, lifestyle, anthropometric indices, clinical characteristics, and biochemical measurements were collected for 1442 Chinese obese and overweight adults. Logistic regression analysis examined the associations between anthropometric indices with incidences of MetS and IR in both sexes. Furthermore, the correlation between anthropometric indices and inflammatory factors was assessed. RESULTS: Multivariate regression analysis depicting BRI and waist circumference (WC) were associated significantly with MetS and IR. BRI had the highest odds ratios (ORs) for IR and WC had the highest ORs for MetS in all anthropometric indices. However, ABSI did not exhibit any association between the MetS and IR. The ABSI adjusted regression coefficients (β values) were 0.403 for high-sensitivity C reactive protein, 0.077 for tumor necrosis factor-α, and 0.022 for interleukin-6. BRI and WC were also significantly associated with three inflammatory factors. Comparing the lowest with the highest quintile, BRI had the largest ORs for MetS (OR, 5.778; 95% confidence interval [CI], 2.954-11.303; P < 0.01) and IR (OR, 6.212; 95% CI, 2.912-13.250; P < 0.01). CONCLUSION: Only BRI and WC, not ABSI, can significantly determine the presence of MetS and IR. BRI showed the optimal capability to identify IR in obese and overweight population.
Authors: Katarzyna Iłowiecka; Paweł Glibowski; Justyna Libera; Wojciech Koch Journal: Int J Environ Res Public Health Date: 2022-09-19 Impact factor: 4.614