The effects of caffeine intake on weight loss: a systematic review and dos-response meta-analysis of randomized controlled trials.
Reza TabriziParvane SaneeiKamran Bagheri LankaraniMaryam AkbariFariba KolahdoozAhmad EsmaillzadehSomayyeh Nadi-RavandiMajid MazoochiZatollah AsemiPublished in: Critical reviews in food science and nutrition (2018)
This systematic review and meta-analysis of randomized controlled trials (RCTs) was performed to summarize the effect of caffeine intake on weight loss. We searched the following databases until November 2017: MEDLINE, EMBASE, Web of Science, and Cochrane Central Register of Controlled Trials. The relevant data were extracted and assessed for quality of the studies according to the Cochrane risk of bias tool. We estimated an intake-status regression coefficient (Beta) for each primary study and estimated the overall pooled Beta and SE using random effects meta-analysis on a double-log scale. Heterogeneity between studies was assessed by the Cochran Q statistic and I-squared tests (I2). Thirteen RCTs with 606 participants were included in the meta-analyses. The overall pooled Beta for the effect of caffeine intake was 0.29 (95%CI: 0.19, 0.40; Q = 124.5, I2 = 91.2%) for weigh, 0.23 (95%CI: 0.09, 0.36; Q = 71.0, I2 = 93.0%) for BMI, and 0.36 (95% CI: 0.24, 0.48; Q = 167.36, I2 = 94.0%) for fat mass. For every doubling in caffeine intake, the mean reduction in weight, BMI, and fat mass increased 2 Beta-fold (20.29 = 1.22, 20.23 = 1.17, and 20.36 = 1.28), which corresponding to 22, 17, and 28 percent, respectively. Overall, the current meta-analysis demonstrated that caffeine intake might promote weight, BMI and body fat reduction.
Keyphrases
- systematic review
- meta analyses
- weight gain
- weight loss
- body mass index
- bariatric surgery
- randomized controlled trial
- roux en y gastric bypass
- adipose tissue
- case control
- gastric bypass
- physical activity
- computed tomography
- obese patients
- electronic health record
- study protocol
- deep learning
- fatty acid
- artificial intelligence
- glycemic control