PDF(Pubmed)
Abstract：
Existing research shows an inconsistent correlation between whole-grain intake and obesity risk, with limited study on the dose-response relationship. Here, we aimed to examine this association and dose-response relationship among U.S. adults who participated in a NHANES (2003-2018). The intake of whole grain was collected and calculated from two rounds of 24 h dietary recall. Obesity was categorized based on body mass index (BMI) and waist circumference (WC). Weighted multivariable logistic regression models were used to calculate the odds of obesity according to whole-grain intake, and the dose-response relationship was modeled by restricted cubic spline regression. Among the 27,862 participants, 38.3% had general obesity, while 58.3% had abdominal obesity. After multivariate adjustment of potential confounders, the participants in the highest quintile of whole-grain intake had a lower prevalence of general obesity (OR 0.79; 95% CI 0.72-0.88) and abdominal obesity (OR 0.80; 95% CI 0.73-0.89) compared with those in the lowest category. Spline regression showed an inversely linear dose-response association between whole-grain intake and the prevalence of general obesity and abdominal obesity. In conclusion, a higher whole-grain intake was associated with lower odds of obesity, both general and abdominal. Our findings highlight the importance of increasing the whole-grain intake to prevent and manage obesity.
摘要：
现有研究表明，全谷物摄入量与肥胖风险之间存在不一致的相关性，对剂量-反应关系的研究有限。这里,我们旨在研究参加NHANES(2003-2018)的美国成年人之间的这种关联和剂量-反应关系.从两轮24小时饮食召回中收集并计算全谷物的摄入量。根据体重指数（BMI）和腰围（WC）对肥胖进行分类。采用加权多变量logistic回归模型根据全谷物摄入量计算肥胖几率,剂量-反应关系采用约束三次样条回归模型。在27,862名参与者中，38.3%有一般性肥胖,58.3%有腹部肥胖。在对潜在混杂因素进行多变量调整后，与最低类别的参与者相比,全谷物摄入量最高的1/5的参与者的一般肥胖(OR0.79;95%CI0.72~0.88)和腹型肥胖(OR0.80;95%CI0.73~0.89)的患病率较低.样条回归显示，全谷物摄入量与一般肥胖和腹部肥胖的患病率之间存在反线性剂量反应关系。总之,较高的全谷物摄入量与较低的肥胖几率相关，一般和腹部。我们的发现强调了增加全谷物摄入量以预防和控制肥胖的重要性。
