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In multivariable models, individuals with sickness absence due to otoaudiological diagnoses showed a lower risk of mortality, while individuals on disability pension due to otoaudiological diagnoses showed a 14%95%5% CI 1-291-29%creased risk of mortality, compared with individuals not on sick leave or disability pension.
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In the final multivariable models, individual IRRs were corrected for the confounding effect of the other factors in the model.
In fully adjusted multivariable models, all individual and social factors remained significantly associated with LTPA, while self-efficacy, enjoyment, intentions, social support, and neighbourhood 'walking environment' variables remained significantly associated with TRPA.
Consequently, in both uni- and multivariable models accounting for individual Framingham risk factors, the risk was dose-dependently increased when more vessels were affected (data not shown).
In multivariable models applied to individual studies Cronbach's alpha consistently failed to predict SRMs (regression coefficients between -0.45 and 1.58, p-values between 0.15 and 0.98) whereas the type of instrument did predict SRMs (regression coefficients between -0.25 to -0.59, p-values between <0.01 and 0.05).
We controlled for several potential confounders by fitting multivariable models that included several individual characteristics as independent variables.
Additional multivariable models restricted to HIV-infected individuals compared thresholds of viral load and CD4 levels.
We used a multivariable model which added individual-level stress and other individual factors that are potentially associated with ischemic heart disease, including past medical history, smoking status, drinking behavior, and hours of walking per day.
In exploratory analyses, the multivariable models were expanded to include individual intern characteristics in addition to the specified workload predictors to investigate if these factors might explain intern-variation in reported noncompliance rates.
In multivariable zero-inflated negative binomial regression models, individuals infected through injection drug use (IDU) were significantly less likely to have any measurements.
Furthermore the small number of suicide events means that the multivariable models may be overfitted, so for individual drugs in particular the adjusted hazard ratios and absolute event rates derived from them should be interpreted with extreme caution.
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