We therefore present both crude and adjusted OR's in order to avoid an over adjustment in the interpretation of the results.
Adjustment on these districts may have led to over adjustment.
It is also important that to develop a clearer understanding of what is meant by "over adjustment".
Adjustments for baseline health strengthens our results by eliminating important confounding factors but it could be argued that these analyses represent an over adjustment.
Also, if OSA is an intermediate factor in the development of hypertension, diabetes, dyslipidemia or other conditions, controlling for these variables represents a case of "over adjustment," potentially affecting the association between dependent and independent variables [ 39, 40].
Study how it works carefully before adjusting it - an over-adjustment can cause leaks, overflowing toilets, and more.
Adherence factors were retained in the final model but were not adjusted for in order to avoid over-adjustment bias [ 13– 15].
The majority of these associations are also likely to suffer from over-adjustment bias as other SEP measures were often adjusted for in the analysis.
Hence, in studies aiming to identify biomarkers for a disease state, adjusting for cell-type distributions could be over-adjustment leading to false negative findings.
Some of these factors are also alternative measures of SEP (e.g. area of residence, education), so adjusting for them may be considered inappropriate (over-adjustment).
Adjusting for any inflammatory markers may be over-adjustment in terms of aetiology, since TNFα is thought to act synergistically with IL-6 and IL-1, upstream of the acute phase response [30].
