Ciera L. Bartholomew, Catia Martins, Barbara Gower
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Multiple linear regression was used to determine whether baseline S<sub>I</sub> was predictive of changes in total LM and ALM.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Participants (<i>n</i> = 57; baseline BMI 32.1 ± 3.8 kg/m<sup>2</sup>) lost an average of 6.8 ± 3.2 kg of body weight (<i>p</i> < 0.001), with 1.5 ± 2.6 kg coming from LM (<i>p</i> < 0.05) and 0.5 ± 0.73 kg from ALM (<i>p</i> < 0.05). Multiple regression analysis demonstrated that S<sub>I</sub> was inversely associated with changes in total LM (kilograms; β = 0.481, <i>p</i> < 0.001), after adjusting for baseline LM, fat mass, acute insulin response to glucose, and weight loss. Similar results were seen when assessing ALM loss (β = 0.359, <i>p</i> < 0.05).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Identifying individuals with low insulin sensitivity prior to weight loss interventions may allow for a personalized approach aiming at minimizing LM loss.</p>\n </section>\n </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":null,"pages":null},"PeriodicalIF":4.2000,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24022","citationCount":"0","resultStr":"{\"title\":\"Association between insulin sensitivity and lean mass loss during weight loss\",\"authors\":\"Ciera L. 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Multiple linear regression was used to determine whether baseline S<sub>I</sub> was predictive of changes in total LM and ALM.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Participants (<i>n</i> = 57; baseline BMI 32.1 ± 3.8 kg/m<sup>2</sup>) lost an average of 6.8 ± 3.2 kg of body weight (<i>p</i> < 0.001), with 1.5 ± 2.6 kg coming from LM (<i>p</i> < 0.05) and 0.5 ± 0.73 kg from ALM (<i>p</i> < 0.05). Multiple regression analysis demonstrated that S<sub>I</sub> was inversely associated with changes in total LM (kilograms; β = 0.481, <i>p</i> < 0.001), after adjusting for baseline LM, fat mass, acute insulin response to glucose, and weight loss. 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引用次数: 0
摘要
研究目的研究目的是评估胰岛素敏感性与减肥期间总瘦肉量(LM)和阑尾瘦肉量(ALM)变化之间的关系:方法:研究人员被随机分配到标准或适度减少碳水化合物的饮食中,为期 16 周。使用双能 X 射线吸收测定法评估身体成分,使用静脉葡萄糖耐量试验评估胰岛素敏感性指数(SI)。采用多元线性回归法确定基线 SI 是否能预测总 LM 和 ALM 的变化:结果:参与者(n = 57;基线体重指数为 32.1 ± 3.8 kg/m2)平均减轻了 6.8 ± 3.2 kg 体重(p I 与总 LM(公斤;β = 0.481,p)的变化成反比:在采取减肥干预措施之前识别出胰岛素敏感性低的人群,可以采取个性化的方法,最大限度地减少胰岛素的损失。
Association between insulin sensitivity and lean mass loss during weight loss
Objective
The study objective was to assess the relationship between insulin sensitivity and changes in total lean mass (LM) and appendicular LM (ALM) during weight loss.
Methods
Individuals were randomly assigned to either a standard or a moderately reduced carbohydrate diet for 16 weeks. Body composition was assessed using dual-energy x-ray absorptiometry and insulin sensitivity index (SI) using an intravenous glucose tolerance test. Multiple linear regression was used to determine whether baseline SI was predictive of changes in total LM and ALM.
Results
Participants (n = 57; baseline BMI 32.1 ± 3.8 kg/m2) lost an average of 6.8 ± 3.2 kg of body weight (p < 0.001), with 1.5 ± 2.6 kg coming from LM (p < 0.05) and 0.5 ± 0.73 kg from ALM (p < 0.05). Multiple regression analysis demonstrated that SI was inversely associated with changes in total LM (kilograms; β = 0.481, p < 0.001), after adjusting for baseline LM, fat mass, acute insulin response to glucose, and weight loss. Similar results were seen when assessing ALM loss (β = 0.359, p < 0.05).
Conclusions
Identifying individuals with low insulin sensitivity prior to weight loss interventions may allow for a personalized approach aiming at minimizing LM loss.
期刊介绍:
Obesity is the official journal of The Obesity Society and is the premier source of information for increasing knowledge, fostering translational research from basic to population science, and promoting better treatment for people with obesity. Obesity publishes important peer-reviewed research and cutting-edge reviews, commentaries, and public health and medical developments.