Coletta A M, Sanchez B, O'Connor A, Dalton R, Springer S, Koozehchian M S, Murano P S, Woodman C R, Rasmussen C, Kreider R B
Exercise and Sport Nutrition Laboratory, Human Clinical Research Facility, Department of Health and Kinesiology Texas A&M University College Station TX USA.
Cancer Control and Population Sciences Program Huntsman Cancer Institute Salt Lake City UT USA.
Obes Sci Pract. 2018 Nov 26;4(6):554-574. doi: 10.1002/osp4.305. eCollection 2018 Dec.
Genetics contribute to variability in individual response to weight-loss interventions. The objective of this study was to determine the efficacy of a commercially available exercise and weight-loss program and whether alignment of diet to genotype related to lipid metabolism promotes greater success.
Sedentary women with obesity ( = 63) had genotype (FABP2rs1799883, PPARG2rs1801282, ADRB3rs4994C3, ADRB2rs1042713, rs1042714) determined using a direct-to-consumer genetic screening kit purported to promote greater weight-loss success through dietary recommendations based on these genes. Participants were randomly assigned to follow a moderate carbohydrate (MC) or lower carbohydrate (LC) hypo-energetic diet that aligned (A) or did not align (NA) with genotype for 24 weeks while participating in a resistance training and walking program. Data were analysed by general linear model repeated measures adjusted for baseline variables and are presented as mean (95% confidence interval) changes from baseline.
Participants in the LC group experienced greater improvements ( = 0.051, η = 0.025) in per cent changes in body composition (weight: MC -3.32 [-1.4, -5.2], LC -5.82 [-4.1, -7.6]; fat mass: MC -7.25 [-3.2, -11.2], LC -10.93 [-7.3, -14.5]; fat-free mass: MC -0.32 [1.4, -2.0], LC -1.48 [0.7, -3.0]; and body fat percentage: MC -4.19 [-1.6, -6.8], LC -5.60 [-3.3, -7.9] %). No significant differences were observed between genotype groups (weight: A -5.00 [-3.3, -6.7], NA -4.14 [-2.2, -6.1]; fat mass: A -10.15 [-7.0, -13.6], NA -8.02 [-4.0, -12.0]; fat-free mass: A -1.23 [0.3, -2.8], NA -0.56 [1.12, -2.3]; and body fat: A -5.28 [-3.0, -7.6], NA -4.51 [-1.9, -7.1] %).
Adherence to this exercise and weight-loss program promoted improvements in body composition and health outcomes. While individuals following the LC diet experienced greater benefits, alignment of these diets to this genetic profile did not promote greater health outcomes.
遗传学因素导致个体对减肥干预措施的反应存在差异。本研究的目的是确定一项市售运动和减肥计划的效果,以及饮食与脂质代谢相关基因型的匹配是否能带来更大的成功。
63名久坐不动的肥胖女性通过使用一种直接面向消费者的基因筛查试剂盒来确定其基因型(FABP2 rs1799883、PPARG2 rs1801282、ADRB3 rs4994C3、ADRB2 rs1042713、rs1042714),该试剂盒据称可通过基于这些基因的饮食建议来提高减肥成功率。参与者被随机分配遵循适度碳水化合物(MC)或低碳水化合物(LC)低能量饮食,饮食与基因型匹配(A)或不匹配(NA),为期24周,同时参加抗阻训练和步行计划。数据通过针对基线变量进行调整的一般线性模型重复测量进行分析,并以相对于基线的平均(95%置信区间)变化表示。
LC组参与者在身体成分百分比变化方面有更大改善(P = 0.051,η² = 0.025)(体重:MC组 -3.32 [-1.4,-5.2],LC组 -5.82 [-4.1,-7.6];脂肪量:MC组 -7.25 [-3.2,-11.2],LC组 -10.93 [-7.3,-14.5];去脂体重:MC组 -0.32 [1.4,-2.0],LC组 -1.48 [0.7,-3.0];以及体脂百分比:MC组 -4.19 [-1.6,-6.8],LC组 -5.60 [-3.3,-7.9]%)。基因型组之间未观察到显著差异(体重:匹配组 -5.00 [-3.3,-6.7],不匹配组 -4.14 [-2.2,-6.1];脂肪量:匹配组 -10.15 [-7.0,-13.6],不匹配组 -8.02 [-4.0,-12.0];去脂体重:匹配组 -1.23 [0.3,-2.8],不匹配组 -0.56 [1.12,-2.3];以及体脂:匹配组 -5.28 [-3.0,-7.6],不匹配组 -4.51 [-1.9,-7.1]%)。
坚持这项运动和减肥计划可促进身体成分和健康状况的改善。虽然遵循LC饮食的个体受益更大,但这些饮食与这种基因特征的匹配并未带来更大的健康效益。