相关实验视频
Updated: Jun 6, 2025

04:48
Control of Eating Behavior Using a Novel Feedback System
Published on: May 8, 2018
10.9K
取代饮食的时间与体重的关系:一个多中心的开放式随机试验
Jialu Wang1, Yi Xiang2, Zhiqi Chen1
1Department of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Endocrine
|November 29, 2024
概括
在中国成年人中,部分替代性餐饮 (MR) 在16周内导致显著的体重减轻和身体组成的改善. 替代餐的时间,无论是早餐/午餐还是早餐/晚餐,都没有影响结果.
科学领域:
- 营养与饮食学 营养与饮食学
- 肥胖问题研究研究
- 公共卫生 公共卫生
背景情况:
- 肥胖是全球日益严重的公共卫生问题,特别是在中国.
- 部分餐替代 (MR) 是一种用于体重管理的饮食策略.
- 了解MR干预的最佳时间对于坚持和有效性至关重要.
研究的目的:
- 评估部分餐替代 (MR) 对中国成年人体重和组成的影响.
- 为了比较不同MR时间 (早餐/午餐与早餐/晚餐) 对减肥的有效性.
- 为了评估人体测量和身体脂肪百分比的变化.
主要方法:
- 一项为期16周的,多中心的,开放标签的,随机的,并行研究.
- 参与者 (BMI 24.035.0 kg/m2) 在早餐和午餐或早餐和晚餐时被分配到部分MR.
- 主要结局:身体体重与基线的绝对变化.
主要成果:
- 在16周的部分MR后,观察到显著的体重减轻 (-5.1公斤).
- 腰部 (-4.8厘米) 和部 (-4.3厘米) 周长以及身体脂肪 (-4.1公斤) 的减少是显著的.
- 大约51.6%的参与者实现了≥5%的体重减轻;MR时间没有显著差异.
结论:
- 部分替代性饮食是中国成年人显著减肥和减少体脂的有效策略.
- 部分餐替代的时间 (早餐/午餐与早餐/晚餐) 不会影响减肥的结果.
- 这些发现支持使用部分MR作为一个可行的体重管理工具.
更多相关视频
00:04A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
Published on: September 20, 2019
10.6K
06:13Author Spotlight: Exploring the Impact of Reduced Resistance Exercise Volume on Metabolic Health
Published on: December 1, 2023
1.0K
相关概念视频
Insulin: Dosing Regimen and Adverse Effects
145
Insulin-replacement therapy usually includes both long-acting insulin (basal) and short-acting insulin (to cater to postprandial needs). In a diverse group of type 1 diabetes patients, the average daily insulin dose is typically 0.5-0.7 units/kg body weight. However, obese patients and pubertal adolescents may need more due to insulin resistance.
The basal dose constitutes about 40%-50% of the total daily dose, with the rest as premeal insulin. The mealtime insulin dose should mirror...
The basal dose constitutes about 40%-50% of the total daily dose, with the rest as premeal insulin. The mealtime insulin dose should mirror...
145
Study Designs in Epidemiology
182
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
182