In all models, we adjusted for covariates with potential influences on HR, HRV, and WBC – selected based on prior knowledge and the existing literature – season (fall/winter/spring/summer), chamber temperature, and relative humidity.
As in the other models, we adjusted for gender, age, stress and non-healthy behaviours.
In subsequent models we adjusted for (i) potential confounding by urban vs rural residence and by family socioeconomic position (occupational social class, parental education), maternal and paternal smoking, and total number of siblings and (ii) the other parent's measurement.
In all models we adjusted for co-morbidity.
In our basic models, we adjusted for age and gender.
In additional models we adjusted for other classic risk factors (see table 2).
In the following two models we adjusted for parental mental health and for family composition.
In all other statistical models, we adjusted for age, smoking, and study center.
In the multivariate models we adjusted the odd ratios for all covariates between the study groups.
In the regression models we adjusted for a number of other covariates.
Within each of these three models, we adjusted for known covariates including age and sex.
