Dhakal Samitinjaya, McCormack Lacey, Dey Moul
Department of Health and Nutritional Sciences, Box 2275A South Dakota State University, Brookings, SD 57007, USA.
Microorganisms. 2020 Aug 16;8(8):1246. doi: 10.3390/microorganisms8081246.
Retail programs offer popular weight-loss options amid the ongoing obesity crisis. However, research on weight-loss outcomes within such programs is limited. This prospective-cohort observational study enrolled 58 men and women between ages 20 and 72 years from a retail program to assess the influence of client features on energy-restriction induced weight-loss response. DESeq2 in R-studio, a linear regression model adjusting for significantly correlating covariates, and Wilcoxon signed-rank and Kruskal-Wallis for within- and between-group differences, respectively, were used for data analyses. An average 10% (~10 kg) reduction in baseline-weight along with lower total-, android-, gynoid-, and android:gynoid-fat were observed at Week 12 (all, < 0.05). Fifty percent of participants experienced a higher response, losing an average of 14.5 kg compared to 5.9 kg in the remaining low-response group ( 0.0001). Hemoglobin-A1C ( = 0.005) and heart rate ( = 0.079) reduced in the high-response group only. Fat mass and A1C correlated when individuals had high android:gynoid fat ( = 0.55, = 0.008). Gut-microbial -diversity was associated with BMI, body fat%, and android-fat (all, < 0.05). Microbiota of the high-response group had a higher baseline OTU-richness ( = 0.02) as well as differential abundance and/or associations with , and (all, / < 0.005). These results show that intestinal microbiota as well as sex and body composition differences may contribute to variable weight-loss response. This highlights the importance of various client features in the context of real-world weight control efforts.
在持续的肥胖危机中,零售项目提供了流行的减肥选择。然而,关于此类项目中减肥效果的研究有限。这项前瞻性队列观察研究从一个零售项目中招募了58名年龄在20至72岁之间的男性和女性,以评估客户特征对能量限制引起的减肥反应的影响。数据分析使用了R工作室中的DESeq2、一个针对显著相关协变量进行调整的线性回归模型,以及分别用于组内和组间差异的Wilcoxon符号秩检验和Kruskal-Wallis检验。在第12周时,观察到基线体重平均下降了10%(约10千克),同时总脂肪、腹部脂肪、臀部脂肪以及腰臀比均有所降低(所有P值均<0.05)。50%的参与者反应较高,平均减重14.5千克,而其余低反应组平均减重5.9千克(P = 0.0001)。仅在高反应组中,糖化血红蛋白(P = 0.005)和心率(P = 0.079)有所降低。当个体腰臀比高时,脂肪量与糖化血红蛋白相关(r = 0.55,P = 0.008)。肠道微生物多样性与体重指数、体脂百分比和腹部脂肪相关(所有P值均<0.05)。高反应组的微生物群具有更高的基线OTU丰富度(P = 0.02),以及与特定菌属的差异丰度和/或关联(所有P值均<0.005)。这些结果表明,肠道微生物群以及性别和身体成分差异可能导致减肥反应的差异。这凸显了在现实世界的体重控制努力中各种客户特征的重要性。