Goh Louise G H, Dhaliwal Satvinder S, Welborn Timothy A, Lee Andy H, Della Phillip R
School of Public Health, Curtin Health Innovation Research Institute, Curtin University, Perth, Western Australia, Australia.
Sir Charles Gairdner Hospital, Hospital Avenue, Nedlands, Perth, Western Australia, Australia.
BMJ Open. 2014 May 22;4(5):e004702. doi: 10.1136/bmjopen-2013-004702.
The objectives of this study were to determine whether the cross-sectional associations between anthropometric obesity measures, body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR), and calculated 10-year cardiovascular disease (CVD) risk using the Framingham and general CVD risk score models, are the same for women of Australian, UK and Ireland, North European, South European and Asian descent. This study would investigate which anthropometric obesity measure is most predictive at identifying women at increased CVD risk in each ethnic group.
Cross-sectional data from the National Heart Foundation Risk Factor Prevalence Study.
Population-based survey in Australia.
4354 women aged 20-69 years with no history of heart disease, diabetes or stroke. Most participants were of Australian, UK and Ireland, North European, South European or Asian descent (97%).
Anthropometric obesity measures that demonstrated stronger predictive ability of identifying women at increased CVD risk and likelihood of being above the promulgated treatment thresholds of various risk score models.
Central obesity measures, WC and WHR, were better predictors of cardiovascular risk. WHR reported a stronger predictive ability than WC and BMI in Caucasian women. In Northern European women, BMI was a better indicator of risk using the general CVD (10% threshold) and Framingham (20% threshold) risk score models. WC was the most predictive of cardiovascular risk among Asian women.
Ethnicity should be incorporated into CVD assessment. The same anthropometric obesity measure cannot be used across all ethnic groups. Ethnic-specific CVD prevention and treatment strategies need to be further developed.
本研究的目的是确定在使用弗雷明汉心血管疾病风险评估模型和一般心血管疾病风险评分模型计算得出的10年心血管疾病(CVD)风险方面,澳大利亚、英国和爱尔兰、北欧、南欧及亚洲裔女性的人体测量肥胖指标(体重指数(BMI)、腰围(WC)和腰臀比(WHR))之间的横断面关联是否相同。本研究将调查在每个种族群体中,哪种人体测量肥胖指标在识别心血管疾病风险增加的女性方面最具预测性。
来自国家心脏基金会风险因素患病率研究的横断面数据。
澳大利亚基于人群的调查。
4354名年龄在20 - 69岁之间、无心脏病、糖尿病或中风病史的女性。大多数参与者为澳大利亚、英国和爱尔兰、北欧、南欧或亚洲裔(97%)。
在识别心血管疾病风险增加的女性以及高于各种风险评分模型公布的治疗阈值的可能性方面,具有更强预测能力的人体测量肥胖指标。
中心性肥胖指标WC和WHR是心血管疾病风险更好的预测指标。在白人女性中,WHR的预测能力强于WC和BMI。在北欧女性中,使用一般心血管疾病(10%阈值)和弗雷明汉(20%阈值)风险评分模型时,BMI是更好的风险指标。WC在亚洲女性中对心血管疾病风险的预测性最强。
种族因素应纳入心血管疾病评估。不能在所有种族群体中使用相同的人体测量肥胖指标。需要进一步制定针对不同种族的心血管疾病预防和治疗策略。