Data on tea drinking variables were available for 48 582 cohort participants.
Less than 3% of the cohort participants had one or more missing values in tea drinking variables.
We used logistic regression models to adjust for potential confounders, including ethnicity, daily vegetable intake, alcohol consumption, tobacco or opium use, duration of residence in rural areas, education level, and car ownership, as indicators of socioeconomic status, and other tea drinking variables.
It controls optimal temperatures and steep times for green, black, white, herbal and oolong tea at variable strengths, with further customisations possible.
While these results appear to suggest that women's health status is not a significant determinant of child health on the tea estates, these variables are self-reported, crude estimates of health conditions, and are unlikely to be perfect indicators of women's genetic endowments, childhood health conditions, or even current health and nutritional status.
In addition, we assessed the consumption of green-tea and other variables before cases of prostate cancer were diagnosed, thus avoiding recall bias.
Figure 3b shows the loading scatter plot, which establishes the relative importance of each variable, and it was used to study the relationships among variables and tea samples.
Six variables, black tea consumption data and prevalence data of respiratory diseases, infectious diseases, cancer, cardiovascular diseases and diabetes, have been studied at a global level.
But, quite tellingly, they often differ significantly in their findings, because making tea has a lot more variables than many would think, given that it's such a common behaviour.
Fixed effects in the model included time (baseline, 3 and 6 months; modeled as 3 separate binary indicator variables), treatment group (tea and control), and treatment group × time (in which time was modeled as 3 separate binary indicator variables).
