Department of Pediatrics School of Medicine and Biomedical Sciences, University at Buffalo, Farber Hall, Room G56, 3435 Main Street, Building #26, Buffalo, New York, 14214-3000, USA.
Obesity (Silver Spring). 2014 Jun;22(6):1394-9. doi: 10.1002/oby.20661. Epub 2013 Dec 6.
Food reinforcement and delay discounting (DD) independently predict body mass index (BMI), but there is no research studying whether these variables interact to improve prediction of BMI.
BMI, the relative reinforcing value of high (PMAXHED ) and low (PMAXLED ) energy dense food, and DD for $10 and $100 future rewards (DD10 , DD100 ) were measured in 199 adult females.
PMAXHED (P = 0.017), DD10 (P = 0.003), and DD100 (P = 0.003) were independent predictors of BMI. The interaction of PMAXLED × DD10 (P = 0.033) and DD100 (P = 0.039), and PMAXHED × DD10 (P = 0.038) and DD100 (P = 0.045) increased the variance accounted for predicting BMI beyond the base model controlling for age, education, minority status, disinhibition, and dietary restraint. Based on the regression model, BMI differed by about 2 BMI units for low versus high food reinforcement, by about 3 BMI units for low versus high DD, and by about 4 BMI units for those high in PMAXHED , but low in DD versus high in PMAXHED and high in DD.
Reducing DD may help prevent obesity and improve treatment of obesity in those who are high in food reinforcement.
食物强化和延迟折扣(DD)独立预测体重指数(BMI),但目前尚无研究探讨这些变量是否相互作用以提高 BMI 的预测能力。
在 199 名成年女性中测量了 BMI、高(PMAXHED)和低(PMAXLED)能量密集型食物的相对强化值以及 10 美元和 100 美元未来奖励的 DD(DD10、DD100)。
PMAXHED(P = 0.017)、DD10(P = 0.003)和 DD100(P = 0.003)是 BMI 的独立预测因子。PMAXLED × DD10(P = 0.033)和 DD100(P = 0.039)以及 PMAXHED × DD10(P = 0.038)和 DD100(P = 0.045)的相互作用增加了预测 BMI 的方差,超过了年龄、教育程度、少数族裔身份、抑制解除和饮食克制等因素的基础模型。基于回归模型,食物强化度低与高相比,BMI 差异约为 2 个单位;DD 程度低与高相比,BMI 差异约为 3 个单位;PMAXHED 程度高但 DD 程度低与 PMAXHED 程度高且 DD 程度高相比,BMI 差异约为 4 个单位。
降低 DD 可能有助于预防肥胖症,并改善那些食物强化度高但 DD 程度高的肥胖症患者的治疗效果。