The second blood pressure assessment was used to categorise severe hypertension into a dichotomous (no/yes) variable using the thresholds SBP ≥ 160 and DBP ≥ 90.
Post-hoc analyses were conducted to test the influence of predictors on child's chronic illness (yes/no) as the dependent variable using a generalized linear mixed model.
A current depressive symptoms binary (Yes/No) variable was generated using the cut-off score of ≥10 [ 30].
Dichotomous questions and all yes/no variables were analyzed using the Fisher exact test for categorical variables.
As a dependent variable, we used the reply (yes/no) to the question: "Did you get vaccinated against influenza in the last 12 months?" Self-report has been shown to be a highly accurate way of assessing past vaccination behavior in elderly populations [ 11].
Subgroup analyses were performed using logistic regression, using the variable PNB (yes/no) as the dependent variable.
To analyze the association between use of HS and the explanatory variables, logistic regression models were adjusted with the response variable (use of HS; yes/no), using the likelihood ratio to test likelihood increases between models, and the Wald statistic to test significance for the variables included in each model.
Demographic variables included: sex, age at diagnosis (continuous variable, in years), health region, location of residence (urban/rural, using the metropolitan influence zone classification [ 23]), material and social deprivation indices [ 24], frailty (yes/no), organ failure (yes/no), and residence in a long-term care facility (yes/no).
¥Accepted surrogates = all the recommendations with surrogate acceptability classified as: yes (e1) = implicit yes "evidence 1"; yes (e2) = implicit yes "evidence 2"; yes (used) = implicit yes "used before"; yes (ref) = implicit yes "reference"; yes (e) = explicit yes; N/S = no statement; N/A = not applicable.
In addition to the independent variables used in multiple linear regressionmodel, dummy of family members involved in the businessother than household head (yes = 1/no = 0) and dummy of someone from community (yes = 1/no = 0) were also included in this model.
Nearly all subjects used either smoky or smokeless coal, so we included only the variable "use of smokeless coal" (yes or no) in the sex-specific models.
