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Although each of the non-African ancestry components of the SAC (European, South Asian and East Asian) were negatively associated with TB susceptibility when tested in individual models, these associations were no longer significant when all five ancestry components were tested together.
In the adjusted models, these associations remained negative but became non-significant (table 4).
In multivariable logistic regression models, these associations were adjusted for nationality, partner status, smoking, prenatal care, and BMI.
For all models, these associations were independent of associations between obesity and systemic inflammation, which was also statistically significant for all models.
In adjusted models, these associations were attenuated in migrants who had been residing in the UK for more than 10 years.
However, when work-related physical and psychosocial factors were included in the multiple logistic regression models, these associations were no longer statistically significant, indicating that the univariate analysis had been influenced by confounding.
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Modelling these associations as a graph brings together groups of functionally associated genes which share similar expression profiles such that they form cliques of high connectivity in a graph.
In the initial model (Model 1), these associations were assessed with adjustment for age, sex, BMI, current smoking and daily drinking, the presence of antihypertensive medications, and eGFR.
In accordance with the uncertainty management model, these associations were dependent on experienced work-time control and perceived changes at work.
In the fully-adjusted model, these associations did not change markedly.
After controlling for variables included in our multivariate model, these associations remained significant (home tests: OR = 1.58 (1.01–2.53); PrEP: OR = 2.11 (1.2.11.47)).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com