Weight loss and body composition after compounded semaglutide treatment in a real world setting

医学 减肥 瘦体质量 赛马鲁肽 体质指数 动物科学 内科学 内分泌学 肥胖 体重 外科 2型糖尿病 糖尿病 生物 利拉鲁肽
作者
Elizabeth Chun,Alexandra Siojo,David Rincón,Kirsten Reyna,Henry Legere,Richard I. Joseph,Rachele Pojednic
出处
期刊:Diabetes, Obesity and Metabolism [Wiley]
卷期号:27 (3): 1536-1543 被引量:5
标识
DOI:10.1111/dom.16162
摘要

Abstract Introduction Clinical trials have shown efficacy of semaglutide for weight loss, but further study is needed in less controlled environments including impacts on body composition. Materials and Methods This retrospective study included individuals who participated in a weight management programme at a commercial wellness studio receiving once‐weekly compounded semaglutide/cyanocobalamin injections from June 2023 to January 2024. Once‐weekly semaglutide/cyanocobalamin injected subcutaneously starting at 0.25 mg/0.125 mg and titrated to a maximum dose of 2.4 mg/0.24 mg. The primary endpoint was weight loss at 3 months, with secondary analyses including weight loss percentage, weight loss by body mass index (BMI) class and body composition changes including changes in total fat mass, lean body mass, skeletal muscle mass and trunk adiposity. Results A total of 94 individuals were analysed (81F/13M), age in years mean (SD) = 46.57 (10.60). After 3 months, average weight loss was 4.11 (2.77) kg or 4.57% (2.96%). Individuals lost fat mass (2.67 (2.37) kg) and trunk fat mass (1.10 (1.36) kg), while also losing small amounts of lean mass (1.43 (1.41) kg) and skeletal muscle mass (0.88 (0.81) kg). As a proportion of total weight, fat mass decreased while lean muscle mass and skeletal muscle mass increased. Discussion This study demonstrates that meaningful weight loss is achievable on semaglutide/cyanocobalamin outside of a closely controlled environment. In addition, body composition improved with losses in fat mass and gains in overall proportion of lean muscle and skeletal muscle.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
铃铛完成签到 ,获得积分10
1秒前
我是老大应助早早采纳,获得10
1秒前
今后应助火星上的绿草采纳,获得10
2秒前
2秒前
九天完成签到 ,获得积分0
2秒前
2秒前
幸福的星星完成签到,获得积分10
2秒前
www发布了新的文献求助10
2秒前
lalala发布了新的文献求助10
3秒前
yulx001发布了新的文献求助10
3秒前
漂亮水绿发布了新的文献求助10
4秒前
Jasper应助沉静的靖巧采纳,获得10
5秒前
半圭为璋完成签到,获得积分10
6秒前
7秒前
7秒前
sin发布了新的文献求助10
8秒前
顺利的飞荷完成签到,获得积分0
8秒前
zhan20200503发布了新的文献求助10
9秒前
小诸葛完成签到,获得积分10
9秒前
10秒前
盛清让完成签到,获得积分10
12秒前
12秒前
梦月完成签到,获得积分10
12秒前
急急急寄完成签到,获得积分10
13秒前
wwwwyt发布了新的文献求助10
14秒前
盛清让发布了新的文献求助10
14秒前
16秒前
17秒前
17秒前
18秒前
18秒前
18秒前
18秒前
大模型应助明亮猫咪采纳,获得10
19秒前
cj819完成签到,获得积分10
19秒前
19秒前
yulx001完成签到,获得积分10
20秒前
20秒前
氟夸发布了新的文献求助10
20秒前
火星上的绿草完成签到,获得积分20
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6026537
求助须知:如何正确求助?哪些是违规求助? 7670233
关于积分的说明 16183053
捐赠科研通 5174500
什么是DOI,文献DOI怎么找? 2768789
邀请新用户注册赠送积分活动 1752105
关于科研通互助平台的介绍 1638048