Abstract
This study is aimed to explore and compare the risk factors of
vitamin D deficiency in cystic fibrosis patients and generally
healthy population. Our data included 95 cystic fibrosis patients
recruited from Emory hospital and Emory clinic, and 719 healthy
subjects recruited from Predictive Health Initiative cohort
established within the Center for Health Discovery and Well Being.
Vitamin D deficiency was defined by the concentration of serum
25[OH]D less than 30 ng/mL. We performed univariate analyses to
examine the marginal effect of each potential risks factor on
vitamin D deficiency. Multivariate logistic regression models were
built subsequently to depict the association between vitamin D
deficiency and its significant risk factors. For healthy subjects,
the results showed that race other than black, being older, more
sun exposure, supplement vitamin D intake, taking physical
activity, and lower total body mass are associated with lower risk
of vitamin D deficiency. For CF patients, we only identify race and
season as important risk factors for vitamin D deficiency and their
effects are consistent to those in healthy people. The comparison
between the findings based on the CF cohort and those based on the
healthy cohort suggests that, the efficient ways to reduce the risk
of vitamin D deficiency in healthy subjects, such as increasing sun
exposure, taking supplement D with low or middle dose, and lowering
the body fat, may not be successful in correcting the low
concentration of vitamin D in cystic fibrosis patients. The
effective treatment to vitamin D deficiency in CF patients needs to
be investigated with further relevant studies.
Table of Contents
Table of Contents 1.
Introduction..............................................................1
2. Data and
Methods..........................................................6
3. Results of Statistical Analysis for CF
Group..............................10 4. Results of Statistical
Analysis for Generally healthy Group...............13 5. Results of
Statistical Analysis for Combine dataset.......................17
6.
Discussion................................................................21
7.
Conclusion................................................................27
Reference....................................................................28
Appendix I
Tables............................................................35
Appendix II SAS
Code.........................................................59
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