Reference no: EM131125083

Impact of physical activity and bodyweight on health-related quality of life in people with type 2 diabetes

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3430085/

1. From Table 4, which of the following is a y variable?
A - Vitality
B - Age
C - Sex
D - BMI

2. The results of this study can be generalized to whom?
A - All men and women with type II diabetes
B - Men and women over 20 years
C - All people with type II diabetes
D - Men and women between 36 and 76 years with type II diabetes

3. From the Results section, the range for age was:

A - 36 years
B - 40 years
C - 63 years
D - 76 years

4. From Table 3, the r for PA and age was -0.252 and was statistically significant. What does this mean?
A - Older people tended to be more active
B - Older people tended to be less active
C - Age and physical activity were not related

5. From Table 3, which variable (BMI, PA, WI, or DD) is the most highly related to Phyfu? [See the Table footnote for the definition of abbreviations.]
A - BMI
B - PA
C - WI
D - DD

6. Based on Table 4, age, sex, and BMI all together account for 8% of the variability in Vitality. If the R squared is 8%, what would the correlation coefficient (r) be for this analysis?

A - 0.08
B - 0.0064
C - 0.64
D - 0.28

7. From Table 4, were age and sex significant predictors of PCS?
A - Yes
B - No

8. In this study, 370 people had quality of life and physical activity levels measured. These 370 people were what??
A - A Sample
B - A randomly selected and representative sample
C - A population
D - A random population

9. From Table 4, how much variability does BMI account for in PCS above what age and sex account for?
A - 1%
B - 15%
C - 16%
D - 17%

10. If given that the median for age was 50 years with a mean of 63.2 years, what would this distribution look like?
A - A platykurtic curve
B - A normally distributed curve
C - A leptokurtic curve
D - A positively skewed curve

11. Based on Table 4, which variable accounted for the most variability in PCS?
A - Age and sex
B - BMI
C - PA
D - None were related

12. From Table 4, age, sex, and BMI accounted for the largest amount of variability for which variable?
A - PCS
B - Physical function
C - MCS
D - Vitality
E - Psychological well-being

13. Based on the data in the Results section, how likely is it that a person would have been a diabetic for 45 years?
A - Very likely since this number is well within plus or minus 1 SD of the mean
B - Unlikely since this number is well within plus or minus 1 SD of the mean
C - Very likely since this number is well outside of plus or minus 3 SD of the mean
D - Unlikely since this number is well outside plus or minus 3 SD of the mean

14. From the Results section, the 7.6 year SD for age means:
A - Body weight is 7.7% variable
B - The middle 68% of the scores fall between 55.6 years and 70.8 years
C - The middle 95% of the scores fall between 48.0 years and 78.4 years
D - Both b and c

15. From the Results section, third paragraph, for whom was age more scattered (or more variable)?
A - Those participants with a BMI of 25-30
B - Those participants with a BMI of > 35
C - The variability of their distributions was the same.
16. From Table 3, the r for BMI and WI was -0.090 and was not statistically significant. What does this mean?
A - Those with a high BMI tended to have a high WI score
B - Those with a high BMI tended to have a low WI score
C - BMI and WI were not related.

17. From Table 4, what was the unstandardized slope for BMI when predicting PCS in Model 3?
A. -0.67
B . 2.16
C . -1.59
D . 0.09

18. From Table 3, which variable (BMI, PA, WI, or DD) is the strongest positive relationship with Phyfu? [See the Table footnote for the definition of abbreviations.]
A - BMI
B - PA
C - WI
D - DD

19. From Table 4, age and sex (together) explain the least amount of variability for what variable?
A - PCS
B - Physical function
C - MCS
D - Vitality
E - Psychological well-being

20. From Table 3, how much variability in Phyfu does BMI account for?
A - -38%
B - 14%
C - 62%
D - 38%