Part -1:
No Strain, No Gain: Psychosocial Predictors of Physical Activity Across the Adult Lifespan
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2972196/pdf/nihms243004.pdf
1. From Table 2, what was the correlation between health and education?
A - 0.23
B - 0.053
C - 0.15
D - 0.001
2. Was the correlation between age and health statistically significant?
A - Yes
B - No
C - Was not reported
3. From Table 2, how much variability in health could be accounted for by activity?
A - 20%
B - 45%
C - 0.1%
D - 4%
4. How much total variability did the step 3 variables account for in physical activity?
A - 0.3%
B - 13.6%
C - 13.3%
D - 6.94%
5. From Table 3, how much more variability in physical activity did the variables from step 2 account for than the variables in step 1?
A - 11.8%
B - 13.3%
C - 1.6%
D - 0.3%
Nordstrand Article
The relationship between various measures of obesity and arterial stiffness in morbidly obese patients
https://bmccardiovascdisord.biomedcentral.com/articles/10.1186/1471-2261-11-7
1. For females, which variable was NOT significantly related to PWV?
A - Hypertension
B - Fat Mass
C - Fasting glucose
D - B-blocker
2. Table 2 shows correlations between the variables listed and PWV. Which variable shows the weakest relationship for males?
A - Age
B - Visceral fat area
C - Apo-B/apo-1 ratio
D - Fasting insulin
3. Which variable shows a statistically significant relationship with PWV for both men and women?
A - BMI
B - WC
C - WHR
D - WHtR
4. Which correlation displayed in Figure 1 shows the strongest relationship?
A - PWV vs. WHtR for women
B - PWV vs. BMI for women
C - PWV vs. WC for men
D - PWV vs. WHR for men
5. For females, how much variability did age account for in PWV?
A - 0.72
B - 0.52
C - 52%
D - 27%