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Follow-up analyses investigated whether menopausal status might better account for this pattern; however, when both age and menopausal status were included in the models, only age significantly predicted distress.
The logistic regression models for nicotine or cannabis use were acceptable, and in three of these models, only age was a significant predictor of weekly use, the exception being nicotine use in male patients where age and diagnosis both contributed.
In the multivariate GEE models, only age was independently associated with the presence of vertebral fractures after 5 years of treatment with an OR (95% CI) of 1.04 (1.02-1.09) in the spine and an OR (95% CI) of 1.05 (1.01-1.10) in the hip.
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However, in the multiple model, only age turned out to be significantly associated with modeled M. bovis infection (Table 3).
In the final model, only age, grouped in the same classes previously indicated, was included since the other variables did not modify the estimates.
In the multivariate analysis model, only age and year remained statistically significant (Table 1).
In the predictive model, only age and SAPS 3 were included as numeric predictors.
When BMI was replaced by waist circumference in the model, only age remained significantly related to FMD.
In the multivariable model, only age remains a statistically significant predictor showing a positive association with the t(14 18) prevalence.
In this model, only age showed a significant association with t(14 18) prevalence with the highest OR of 2.93 in age group 50 59 years (Table 1).
However, if all parameters were combined into one multivariate model, only age and molecular risk score were classified as relevant parameters (Additional file 1: Table S4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com