Department of Immunology, College of Basic Medical Sciences, Jilin University, 126 Xinmin Avenue, Changchun 130021, China.
Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, 1163 Xinmin Avenue, Changchun 130021, China.
Nutrients. 2022 Mar 29;14(7):1429. doi: 10.3390/nu14071429.
Some studies suggest that a higher phytochemical index (PI) is associated with a lower risk of overweight/obesity. This meta-analysis is performed to summarize published studies on the relationship of PI and the risk of overweight/obesity. We searched on PubMed, Cochrane Library and Web of Science from the inception dates to February 2022. The random-effect model was used based on heterogeneity. Meta-regression was used to explore potential sources of between-study heterogeneity. Publication bias was evaluated using Begg's and Egger's tests. The dose-response relationship was assessed using a restricted cubic spline model. Nine studies were included in the meta-analysis, with a total of 100,753 participants. The meta-analysis showed that the phytochemical index was associated with a decreased risk of overweight/obesity. The pooled OR (95% CI) was 0.81 (0.74-0.90). The findings from dose-response analysis showed a nonlinear association between the phytochemical index and the risk of overweight/obesity. The results of the meta-regression showed that gender and area were significant covariates influencing the heterogeneity between studies. There was no publication bias in the meta-analysis of this study. In conclusion, although this meta-analysis indicates that a high phytochemical index is associated with a reduced risk of overweight/obesity, all the studies included in this meta-analysis were cross-sectional studies with high heterogeneity. As such, more data from randomized controlled trials are required to confirm the efficacy of PI in evaluating the risk of overweight/obesity.
一些研究表明,较高的植物化学指数(PI)与超重/肥胖的风险较低有关。本荟萃分析旨在总结已发表的关于 PI 与超重/肥胖风险关系的研究。我们在 PubMed、Cochrane 图书馆和 Web of Science 上进行了检索,检索时间截至 2022 年 2 月。基于异质性,采用随机效应模型。采用Meta回归探索研究间异质性的潜在来源。使用 Begg 和 Egger 检验评估发表偏倚。使用限制性立方样条模型评估剂量-反应关系。共有 9 项研究纳入荟萃分析,共有 100753 名参与者。荟萃分析表明,植物化学指数与超重/肥胖的风险降低相关。合并的 OR(95%CI)为 0.81(0.74-0.90)。剂量-反应分析的结果表明,植物化学指数与超重/肥胖风险之间存在非线性关联。Meta回归的结果表明,性别和地区是影响研究间异质性的重要协变量。本研究的荟萃分析不存在发表偏倚。总之,尽管这项荟萃分析表明高植物化学指数与超重/肥胖风险降低有关,但本荟萃分析中纳入的所有研究都是具有高度异质性的横断面研究。因此,需要更多来自随机对照试验的数据来证实 PI 在评估超重/肥胖风险方面的功效。