Akter Sharmin, Dawson John A, Kahathuduwa Chanaka N, Chin Shao-Hua, Binks Martin
Department of Nutritional Sciences Texas Tech University Lubbock Texas.
Physician Assistant Program Midland Texas Tech University Health Sciences Center Lubbock Texas.
Obes Sci Pract. 2019 Dec 2;6(2):152-161. doi: 10.1002/osp4.394. eCollection 2020 Apr.
Identifying predictors of early weight loss may have value in predicting longer-term success in weight loss programmes. This study examined if weight history variables (ie, weight cycling history [WCH], age of onset of obesity [AOO]), and preintervention Three-Factor Eating Questionnaire (TFEQ) and Power of Food Scale (PFS) scores predicted weight loss (WL) and fat mass loss (FML) following a 3-week calorie restriction intervention.
Thirty-two participants (19-60 y; body mass index [BMI] 30-39.9 kg/m) participated in a 3-week calorie restriction intervention (1120 kcal/d) as part of a larger clinical trial with 28 completers included in the current analyses. Preintervention WCH, AOO, TFEQ, and PFS subscale scores were collected, and WL and FML were measured. Multiple linear regression analyses were performed to predict WL and FML for relevant covariates in this study.
WCH, AOO, preintervention TFEQ subscale scores, and PFS subscale scores did not predict WL (all s > .08) or FML (s > .06) except, PFS-food tasted scores significantly predicted WL ( = -0.40, = .03).
Although these variables were not robust predictors, results for at least the PFS suggest there may be value in further exploring this measure using larger sample sizes.
识别早期体重减轻的预测因素可能对预测减肥计划的长期成功具有价值。本研究调查了体重史变量(即体重循环史[WCH]、肥胖发病年龄[AOO])以及干预前的三因素饮食问卷(TFEQ)和食物力量量表(PFS)得分是否能预测为期3周的热量限制干预后的体重减轻(WL)和脂肪量减少(FML)。
32名参与者(19 - 60岁;体重指数[BMI] 30 - 39.9 kg/m²)参与了为期3周的热量限制干预(1120千卡/天),这是一项更大规模临床试验的一部分,本分析纳入了28名完成者。收集了干预前的WCH、AOO、TFEQ和PFS子量表得分,并测量了WL和FML。进行了多元线性回归分析,以预测本研究中相关协变量的WL和FML。
WCH、AOO、干预前TFEQ子量表得分和PFS子量表得分均不能预测WL(所有p > .08)或FML(p > .06),但PFS - 食物味道得分显著预测了WL(β = -0.40,p = .03)。
虽然这些变量不是有力的预测因素,但至少PFS的结果表明,使用更大样本量进一步探索该指标可能具有价值。