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We studied linear trends by fitting categorical variables using median values for each category as continuous values in the model.
Linear trends across increasing alcohol intake were tested using the median value of each alcohol intake category as continuous variable to minimise the influence of outliers.
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Trend tests were conducted using ordinal categories as continuous variables.
Risk trends were assessed by considering categories as continuous variables.
Trend tests were performed by modeling the medians of usage categories as continuous variables.
Tests for trend were assessed using midpoints of categories as continuous measures.
χ test for trend were computed by considering categories as continuous variables.
Test for trends across categories of variables were performed by treating the categories as continuous variables in the analyses.
Tests for a linear trend across increasing categories of spirometric indices were conducted by treating the categories as continuous variables in a model.
Odds ratios (ORs) for HPV positivity were calculated by unconditional logistic regression adjusted for age, with OR trends assessed by considering categories as continuous variables.
We modeled the median category scores as continuous variables and scaled the trend ORs to interquartile range (IQR) increases in the original cumulative-days-of-use variables.
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