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Next, we added socioeconomic factors (model 3), and, finally, the psychosocial ones were added (models 4 7).
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Finally, the interactions of job control with physical violence and bullying were added (Model D).
When sociodemographic factors were added (Model 2), both of these factors remained significant.
All effects were in a similar direction, though somewhat attenuated when the personal health practice measures were added (model 4).
When chronic diseases were added (model 4), the odds of having limitations in mobility were no longer statistically significant.
When education and income were added (Model 2), the effect of income was attenuated but the remaining associations did not change substantially.
However, when education and body height (a proxy for early life socioeconomic status) were added (model B), the increased OR for ethnic minority women was eliminated.
The association between material deprivation and coercive sex remained insignificant when the three SES measures were added (Model 2) (OR=1.34, 95% CI: 0.75 2.39).
Firstly, the biological variables were modelled alone (model 1 in Table 3), then the cancer treatment was added (model 2).
Therefore, an additional hardware mode was added, modeling the expectations on the hardware attenuation coefficients.
However, this risk factor was no longer statistically significant when spousal physical/sexual violence was added (model 2; table 4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com