Physical activity variables used in this study were total physical activity (total PA; mean accelerometer counts per minute) and combined moderate and vigorous activity (MVPA: using a cut point of >4000 counts per minute).
We used a cut point of ≥2 points to identify individuals at high risk of falls.
Alternate analyses were also performed using a cut point of 130/8 0mmHg.
Alternate analyses were performed using a cut point of ≥100 mg/dL.
We also assessed severe hypoglycemia using a cut point of <50 mg/dL.
Greenland (2005) extended the analysis to include 14 studies using a cut point at 0.3 μT with similar results.
It has been found to be psychometrically sound and effective at detecting either the presence of GAD (using a cut off point of 8/9) or any anxiety disorder (using a cut point of 10/11) [ 25].
After backwards deletion, none of the previous potential confounders were proven to be substantial confounders using a cut point of 10% change the original point estimate.
Because of this limitation, in addition to our use of BMI as a continuous variable, we used a cut point of BMI to categorize obesity.
We dichotomized the revised CESD-R score using a cut point of ≥ 16, as is common practice when using the original Center for Epidemiological Studies Depression Scale (CES-D) (Smarr and Keefer 2011).
Here a continuous variable which is predictive of a clinical outcome is dichotomized using a cut point with cases and non-cases displayed in a 2×2 table.
