In SPSS, I performed a linear regression with 'change in blood concentration of mineral X' as (continuous) outcome, and age as (continuous) predictor. Both the outcome and the predictor are normally distributed. The Beta (95% CI) is 0.007 (0.001, 0.013). To express the beta for 'change in blood concentration of mineral X' per 10 years increase, I multiplied both the Beta and the 95% CI by 10. I think this is acceptable.

Now I want to do more or less the same for the OR (95% CI) in a logistic regression with a dichotomous outcome (disease or no disease) with again age as risk factor (continuous variable). The logistic regression in SPSS yields an OR (95% CI) of 1.081 (1.022, 1.144). Is the correct way to display this as 'per 10 years increase' by doing 1.081^10 (1.022^10, 1.144^10)? I.e. convert everything to the power of 10?

I couldn't find the answer to this question online, but by the idea I have of OR's, I think this is the correct way. Can anyone either approve this, disprove this, or show me an explication where I can find this out by myself?

Thanks in advance!

Best,

Martin