Acute change in resting energy expenditure and vital signs in response to white tea consumption in females: a pilot study.

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS
Nilüfer Acar Tek, Şerife Ayten, Nazlıcan Erdoğan Gövez, Duygu Ağagündüz
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引用次数: 0

Abstract

Background: White tea, derived from the Camellia sinensis plant like other teas, uses tender buds and young leaves and undergoes minimal processing. This results in higher levels of antioxidants and bioactive substances, which may enhance thermogenesis more effectively than other teas. This first human study aimed to investigate the acute effects of white tea consumption on resting energy expenditure (REE) and some vital signs, including blood pressure (BP), heart rate (HR), and body temperature (BT).

Methods: Thirty-two healthy female volunteers with normal initial BP and whose caffeine intakes were < 300 mg/d were enrolled in the study. The caffeine and total phenolic content of white tea samples were determined by the high-performance liquid chromatography method and the Folin-Ciocalteu colorimetric method, respectively. After baseline measurements, participants consumed white tea containing 6 mg of caffeine per kilogram of lean body mass, and the white tea was prepared with bottled drinking water at 80 °C and brewed for 3 min. REE, BP, and BT were assessed at various intervals (baseline, 30 min, 120 min, and 180 min) post-consumption of the white tea.

Results: The results revealed a significant increase in REE by 8.7% at 180 min after the consumption. In particular, there was a substantial difference in both values between the intervals of 30 min to 180 min and baseline to 180 min for REE (p < 0.05). Maximal oxygen consumption and BT also increased significantly over time (p < 0.05) and the observed increment in BT suggests a thermogenic effect associated with white tea consumption. However, systolic BP, diastolic BP, and heart rate showed no significant difference.

Conclusions: These findings suggest white tea consumption may acutely enhance REE and maximal oxygen consumption, so the results are promising for body weight management. This study is the first human study in the literature about the effects of white tea on energy expenditure and vital signs.

女性饮用白茶后静息能量消耗和生命体征的急性变化:一项试验研究。
背景介绍白茶与其他茶类一样,源自山茶属植物,采用嫩芽和嫩叶,加工过程极少。因此,白茶中的抗氧化剂和生物活性物质含量较高,可能比其他茶叶更有效地促进产热。这项首次人体研究旨在调查饮用白茶对静息能量消耗(REE)和一些生命体征(包括血压(BP)、心率(HR)和体温(BT))的急性影响:方法:32 名健康女性志愿者的初始血压正常,咖啡因摄入量正常:结果表明,在摄入咖啡因 180 分钟后,REE 明显增加了 8.7%。特别是,在 30 分钟至 180 分钟和基线至 180 分钟之间,REE 的两个值都有很大的差异(p 结论:这些研究结果表明,饮用白茶可使急性血压升高:这些研究结果表明,饮用白茶可在短期内提高 REE 和最大耗氧量,因此对控制体重很有帮助。这项研究是文献中第一项关于白茶对能量消耗和生命体征影响的人体研究。
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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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