In accordance with rigorous standards of research quality, 11 studies with 13 reports were selected for meta-analysis that evaluated the association between tea consumption and depression risk [17]. Meta-data were comprised of five cohort reports and eight cross-sectional reports, all of which yielded at least moderate quality assessment scores, averaged at good within Newcastle-Ottawa and Agency for Healthcare Research and Quality assessment scales. Studies included 22,817 participants with 4743 cases of depression, and a dose-response analysis of 10,600 participants with 2107 cases. This meta-analysis found that higher consumption of tea was associated with lower risk of depression. Dose-response analysis identified a negative correlation between tea consumption and depression risk, with every three cups/day increment in tea consumption associated with a 37% decrease in the risk [17]. A subgroup analysis was conducted to assess whether lifestyle factors such as physical exercise, smoking, alcohol consumption, etc. were confounding the results; however, similar results were obtained in these subgroup analyses. The aggregated risk ratio (RR) for studies measuring green tea (n = 3) was comparable to studies measuring "diverse tea types" (n = 5), which included oolong, black, white, and pu-erh teas, with RR (95% confidence interval (CI)) of 0.67 (0.56-0.79) and 0.69 (0.62-0.77) for green and diverse tea types, respectively. In the meta-analysis of association in the 13 reports, all but one subgroup found similar results regarding associative risk. The inconsistent finding came from the population-based Kuopio Ischaemic Heart Disease Risk Factor Study taken between 1984 and 1989 and followed until the end of 2006, which investigated the association between intake of coffee, tea and caffeine and severe depression in middle-aged Finnish men [24]. No association was observed between severe depression and intake of tea in this study. However, this prospective study should be interpreted with caution, since it focused only on severe depression based on discharge diagnosis, which may have overlooked cases of mild and moderate depression in which patients were not hospitalized. Therefore, it is possible that this study was biased towards a null hypothesis. The meta-analysis by Dong et al. offered a brief mention of feasible mechanistic explanations for the results. However, it did not take into consideration comprehensive integrated views of depression pathology, perhaps because these theories on depression have only emerged in very recent years [21,22,23]. We conducted another search for high quality data measuring tea consumption and depression risk to supplement the meta-analytical data from Dong et al. [17] with more recent research. The MEDIS study published in May 2018 enrolled 2718 older individuals from 22 Mediterranean islands in cross-sectional sampling in the period of 2005-2011. A broad ranging set of dietary habits and socio-demographic characteristics were analyzed through cross-sectional examination for associations with depression [25]. Diet-related factors included consumption quantities and frequencies of fish, meat, vegetables, legumes, coffee, tea, and various alcoholic beverages. Factors such as age, education, financial status, physical activity, various blood lipid parameters and BMI were measured. Logistic regression model evaluating the various factors associated with depression found that daily tea consumption showed the lowest RR of any metric measured in the study (RR: 0.51; 95% CI; 0.40-0.65, p value < 0.001). The MEDIS study provided no detailed mechanistic explanation for the observed risk reduction resulting from daily tea consumption [25]. explain experiment and outcome