Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Rd, Melbourne, VIC3004, Australia.
Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Public Health Nutr. 2021 Dec;24(18):6157-6168. doi: 10.1017/S1368980021001713. Epub 2021 Apr 20.
To ascertain which of the Alternative Healthy Eating Index (AHEI) 2010, Dietary Inflammatory Index (DII®) and Mediterranean Diet Score (MDS) best predicted BMI and waist-to-hip circumference ratio (WHR).
Body size was measured at baseline (1990-1994) and in 2003-2007. Diet was assessed at baseline using a FFQ, along with age, sex, socio-economic status, smoking, alcohol drinking, physical activity and country of birth. Regression coefficients and 95 % CI for the association of baseline dietary scores with follow-up BMI and WHR were generated using multivariable linear regression, adjusting for baseline body size, confounders and energy intake.
Population-based cohort in Melbourne, Australia.
Included were data from 11 030 men and 16 774 women aged 40-69 years at baseline.
Median (IQR) follow-up was 11·6 (10·7-12·8) years. BMI and WHR at follow-up were associated with baseline DII® (Q5 v. Q1 (BMI 0·41, 95 % CI 0·21, 0·61) and WHR 0·009, 95 % CI 0·006, 0·013)) and AHEI (Q5 v. Q1 (BMI -0·51, 95 % CI -0·68, -0·35) and WHR -0·011, 95 % CI -0·013, -0·008)). WHR, but not BMI, at follow-up was associated with baseline MDS (Group 3 most Mediterranean v. G1 (BMI -0·05, 95 % CI -0·23, 0·13) and WHR -0·004, 95 % CI -0·007, -0·001)). Based on Akaike's Information Criterion and Bayesian Information Criterion statistics, AHEI was a stronger predictor of body size than the other diet scores.
Poor quality or pro-inflammatory diets predicted overall and central obesity. The AHEI may provide the best way to assess the obesogenic potential of diet.
确定替代健康饮食指数(AHEI)2010、饮食炎症指数(DII®)和地中海饮食评分(MDS)中哪一个能更好地预测 BMI 和腰臀比(WHR)。
在基线(1990-1994 年)和 2003-2007 年期间测量身体大小。使用 FFQ 在基线时评估饮食,同时评估年龄、性别、社会经济地位、吸烟、饮酒、身体活动和出生地。使用多变量线性回归生成与随访 BMI 和 WHR 相关的基线饮食评分的回归系数和 95%CI,调整基线身体大小、混杂因素和能量摄入。
澳大利亚墨尔本的一个基于人群的队列。
包括基线时年龄为 40-69 岁的 11030 名男性和 16774 名女性的数据。
中位数(IQR)随访时间为 11.6 年(10.7-12.8 年)。随访时的 BMI 和 WHR 与基线 DII®(Q5 比 Q1(BMI 0.41,95%CI 0.21,0.61)和 WHR 0.009,95%CI 0.006,0.013)和 AHEI(Q5 比 Q1(BMI-0.51,95%CI-0.68,-0.35)和 WHR-0.011,95%CI-0.013,-0.008)相关。随访时的 WHR,但不是 BMI,与基线 MDS(第三组最地中海式 v. G1(BMI-0.05,95%CI-0.23,0.13)和 WHR-0.004,95%CI-0.007,-0.001)相关。基于赤池信息量准则和贝叶斯信息准则统计,AHEI 是预测身体大小的更好指标。
不良或促炎饮食预测整体和中心性肥胖。AHEI 可能是评估饮食致肥胖潜力的最佳方法。