An odds ratio less than 1 in a multivariate logistic regression indicates what about the exposure and outcome?

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Multiple Choice

An odds ratio less than 1 in a multivariate logistic regression indicates what about the exposure and outcome?

Explanation:
In multivariate logistic regression, the odds ratio shows how the odds of the outcome change with the exposure after accounting for other variables in the model. An odds ratio below 1 means the exposure is associated with lower odds of the outcome, indicating a protective or inverse relationship when other factors are held constant. For example, an odds ratio of 0.6 implies the odds of the outcome are 40% lower with the exposure than without, after adjustment. If the odds ratio were above 1, the exposure would be linked to higher odds of the outcome; if it were around 1, there would be little or no association. The fact that it is less than 1 reflects the direction of association under adjustment, not a claim of causation.

In multivariate logistic regression, the odds ratio shows how the odds of the outcome change with the exposure after accounting for other variables in the model. An odds ratio below 1 means the exposure is associated with lower odds of the outcome, indicating a protective or inverse relationship when other factors are held constant. For example, an odds ratio of 0.6 implies the odds of the outcome are 40% lower with the exposure than without, after adjustment. If the odds ratio were above 1, the exposure would be linked to higher odds of the outcome; if it were around 1, there would be little or no association. The fact that it is less than 1 reflects the direction of association under adjustment, not a claim of causation.

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