期刊
NUTRIENTS
卷 13, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/nu13031042
关键词
time-restricted eating; eating pattern; dietary advice; weight loss; processed food; NOVA classification; metabolic syndrome
资金
- Swiss National Science Foundation [PZ00P3167826]
- Swiss Society of Endocrinology and Diabetes
- Strategic Focal Area Personalized Health and Related Technologies (PHRT) of the ETH Domain [2018-427]
- Leenaards Foundation
- Vontobel Foundation
- Swiss Multiple Sclerosis Society
- Novartis Foundation for biomedical research
- Alfred und Anneliese Sutter-Stottner Stiftung
- Fonds de recherche Quebec Sante (FRQS)
- Swiss National Science Foundation
The study found significant associations between low consumption of unprocessed food and low physical activity with multiple components of metabolic syndrome. Comparing time-restricted eating to standard dietary advice, time-restricted eating resulted in significant weight loss after 6 months. Further research is needed to improve individual responses to time-restricted eating.
Weight loss is key to controlling the increasing prevalence of metabolic syndrome (MS) and its components, i.e., central obesity, hypertension, prediabetes and dyslipidaemia. The goals of our study were two-fold. First, we characterised the relationships between eating duration, unprocessed and processed food consumption and metabolic health. During 4 weeks of observation, 213 adults used a smartphone application to record food and drink consumption, which was annotated for food processing levels following the NOVA classification. Low consumption of unprocessed food and low physical activity showed significant associations with multiple MS components. Second, in a pragmatic randomised controlled trial, we compared the metabolic benefits of 12 h time-restricted eating (TRE) to standard dietary advice (SDA) in 54 adults with an eating duration > 14 h and at least one MS component. After 6 months, those randomised to TRE lost 1.6% of initial body weight (SD 2.9, p = 0.01), compared to the absence of weight loss with SDA (-1.1%, SD 3.5, p = 0.19). There was no significant difference in weight loss between TRE and SDA (between-group difference -0.88%, 95% confidence interval -3.1 to 1.3, p = 0.43). Our results show the potential of smartphone records to predict metabolic health and highlight that further research is needed to improve individual responses to TRE such as a shorter eating window or its actual clock time.
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