Deakin University, Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Geelong Campus, Victoria 3220, Australia.
University of Glasgow, BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, 126 University Pl, Glasgow G12 8TA, United Kingdom; Physical Activity and Health Research Unit, University Católica del Maule, Talca 3466706, Chile.
Prev Med. 2022 May;158:107035. doi: 10.1016/j.ypmed.2022.107035. Epub 2022 Mar 26.
Few studies have derived dietary patterns based on intake of discretionary foods and beverages and examined associations with genetic risk and obesity. We examined associations between dietary patterns based on discretionary foods, saturated fatty acids (SFA), and fiber, with a polygenetic risk score (PRS) for obesity and risk of overall obesity, central obesity and high body fat (BF) up to 9.7 years later. Data from 11,735 adults from the UK Biobank cohort study were used. Dietary patterns were derived from 24-h dietary assessments using reduced rank regression (response variables: discretionary foods and beverages [%E]; SFA [%E]; fiber density [g/MJ]). Cox proportional hazard models were used to investigate associations between dietary patterns and incident overall obesity, central obesity and high BF, with interactions by PRS. Three dietary patterns (DP) were identified. DP1, correlated positively with discretionary foods and SFA, inversely with fiber, was associated with higher risk of central obesity (hazard ratio: 1.08; 95% confidence interval: 1.02, 1.14). DP2, correlated positively with discretionary foods and fiber, inversely with SFA, was not associated with obesity incidence. DP3, correlated positively with SFA and fiber, inversely with discretionary foods, was associated with lower risk of central obesity (hazard ratio: 0.92; 95% confidence interval: 0.87, 0.98). There was limited evidence of interactions with PRS. A dietary pattern high in high-SFA and low-fiber discretionary foods and beverages was associated with higher risk of obesity, independent of genetic predisposition.
很少有研究基于可自由支配食物和饮料的摄入量来推导饮食模式,并研究其与遗传风险和肥胖的关联。我们研究了基于可自由支配食物、饱和脂肪酸 (SFA) 和纤维的饮食模式与肥胖多基因风险评分 (PRS) 以及超重、中心性肥胖和高体脂 (BF) 之间的关联,随访时间长达 9.7 年。研究数据来自英国生物库队列研究的 11735 名成年人。使用简化秩回归法从 24 小时膳食评估中得出饮食模式(因变量:可自由支配食物和饮料 [%E];SFA [%E];纤维密度 [g/MJ])。使用 Cox 比例风险模型研究饮食模式与超重、中心性肥胖和高 BF 的发生风险之间的关联,同时考虑 PRS 的交互作用。确定了三种饮食模式 (DP)。DP1 与可自由支配食物和 SFA 呈正相关,与纤维呈负相关,与中心性肥胖的风险增加相关(风险比:1.08;95%置信区间:1.02,1.14)。DP2 与可自由支配食物和纤维呈正相关,与 SFA 呈负相关,与肥胖的发生无关。DP3 与 SFA 和纤维呈正相关,与可自由支配食物呈负相关,与中心性肥胖的风险降低相关(风险比:0.92;95%置信区间:0.87,0.98)。与 PRS 相互作用的证据有限。一种高 SFA 和低纤维的可自由支配食物和饮料的饮食模式与肥胖的风险增加有关,独立于遗传易感性。