MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Br J Nutr. 2019 Oct 28;122(8):928-935. doi: 10.1017/S0007114519001776.
Evidence from randomised controlled trials supports beneficial effects of total dairy products on body weight, fat and lean mass, but evidence on associations of dairy types with distributions of body fat and lean mass is limited. We aimed to investigate associations of total and different types of dairy products with markers of adiposity, and body fat and lean mass distribution. We evaluated cross-sectional data from 12 065 adults aged 30-65 years recruited to the Fenland Study between 2005 and 2015 in Cambridgeshire, UK. Diet was assessed with an FFQ. We estimated regression coefficients (or percentage differences) and their 95 % CI using multiple linear regression models. The medians of milk, yogurt and cheese consumption were 293 (interquartile range (IQR) 146-439), 35·3 (IQR 8·8-71·8) and 14·6 (IQR 4·8-26·9) g/d, respectively. Low-fat dairy consumption was inversely associated with visceral:subcutaneous fat ratio estimated with dual-energy X-ray absorptiometry (-2·58 % (95 % CI -3·91, -1·23 %) per serving/d). Habitual consumption per serving/d (200 g) of milk was associated with 0·33 (95 % CI 0·19, 0·46) kg higher lean mass. Other associations were not significant after false discovery correction. Our findings suggest that the influence of milk consumption on lean mass and of low-fat dairy consumption on fat mass distribution may be potential pathways for the link between dairy consumption and metabolic risk. Our cross-sectional findings warrant further research in prospective and experimental studies in diverse populations.
来自随机对照试验的证据支持全脂乳制品对体重、脂肪和瘦体重的有益影响,但关于乳制品类型与体脂和瘦体重分布关系的证据有限。我们旨在研究全脂和不同类型乳制品与肥胖标志物以及体脂和瘦体重分布的关系。我们评估了 2005 年至 2015 年期间在英国剑桥郡芬兰研究中招募的 12065 名 30-65 岁成年人的横断面数据。饮食使用 FFQ 进行评估。我们使用多元线性回归模型估计回归系数(或百分比差异)及其 95%置信区间。牛奶、酸奶和奶酪的中位数摄入量分别为 293(四分位间距(IQR)146-439)、35.3(IQR 8.8-71.8)和 14.6(IQR 4.8-26.9)g/d。低脂乳制品的摄入量与双能 X 射线吸收法估计的内脏:皮下脂肪比率呈负相关(每服务/天 1 份减少 2.58%(95%CI -3.91,-1.23%))。每服务/天(200 克)的牛奶摄入与 0.33(95%CI 0.19,0.46)kg 的瘦体重增加有关。经过虚假发现校正后,其他关联并不显著。我们的研究结果表明,牛奶摄入对瘦体重的影响和低脂乳制品摄入对脂肪质量分布的影响可能是乳制品摄入与代谢风险之间联系的潜在途径。我们的横断面研究结果需要在不同人群的前瞻性和实验性研究中进一步研究。