Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia; Department of Cardiovascular Medicine, Alfred Hospital, Melbourne, Victoria, Australia.
Public Health. 2020 Jun;183:126-131. doi: 10.1016/j.puhe.2020.03.013. Epub 2020 Jun 1.
Obesity is one of the most common risk factors for cardiometabolic diseases in Australia and worldwide. Recent studies show that people with normal body mass index (BMI) but with central obesity are at increased risk of morbidity and mortality from cardiometabolic diseases. This risk has not been explained well. The aim of this study was to examine the magnitude, correlates and effects of normal BMI central obesity in the Australian adult population.
Longitudinal study with data linkage.
We used the Baker Biobank, which contains sociodemographic, behavioural, clinical and mortality data. Data were collected between 2000 and 2011 from 6530 adults who were between 18 and 69 years of age. Biobank data were linked to the National Death Index. A matrix of BMI and waist-to-height ratio (WHtR) and waist-to-hip ratio (WHR) were used to create adiposity categories. For analysis, we used descriptive statistics, logistic regression and cox regression models.
The overall prevalence of normal BMI central obesity was 13.4% by WHtR and 14.4% by WHR. Gender, age, BMI and physical activity were associated with normal BMI central obesity. Higher odds of multimorbidity and increased hazards of all-cause and cardiovascular mortality were associated with WHR.
WHtR and WHR, when each used with BMI, provided similar estimates of prevalence of normal BMI central obesity. However, WHR is a better predictor of all-cause and cardiovascular mortality.
肥胖是澳大利亚和全球范围内心血管代谢疾病的最常见危险因素之一。最近的研究表明,身体质量指数(BMI)正常但中心性肥胖的人患心血管代谢疾病的发病率和死亡率增加。这种风险尚未得到很好的解释。本研究旨在检查澳大利亚成年人群中 BMI 正常中心性肥胖的程度、相关性和影响。
具有数据链接的纵向研究。
我们使用了贝克生物银行(Baker Biobank),其中包含社会人口统计学、行为、临床和死亡率数据。数据收集于 2000 年至 2011 年之间,来自 6530 名年龄在 18 至 69 岁之间的成年人。生物银行数据与国家死亡指数相关联。BMI 和腰高比(WHtR)和腰臀比(WHR)矩阵用于创建肥胖类别。在分析中,我们使用了描述性统计、逻辑回归和 Cox 回归模型。
按 WHtR 计算,正常 BMI 中心性肥胖的总体患病率为 13.4%,按 WHR 计算为 14.4%。性别、年龄、BMI 和体力活动与正常 BMI 中心性肥胖有关。更高的多发病和全因及心血管死亡率的危险增加与 WHR 有关。
WHtR 和 WHR,当与 BMI 一起使用时,提供了正常 BMI 中心性肥胖患病率的相似估计。然而,WHR 是全因和心血管死亡率的更好预测指标。