Pallav K, Riche D, May WL, Sanchez P, Gupta NK. Predictors of vitamin D deficiency in inflammatory bowel disease and health: A Mississippi perspective. World J Gastroenterol 2017; 23(4): 638-645 [PMID: 28216970 DOI: 10.3748/wjg.v23.i4.638]
Corresponding Author of This Article
Kumar Pallav, MBBS, Assistant Professor, Division of Digestive Diseases, University of Mississippi Medical Center, 2500 N State Street, Jackson, MS 39216, United States. drkumarpallav@yahoo.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
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World J Gastroenterol. Jan 28, 2017; 23(4): 638-645 Published online Jan 28, 2017. doi: 10.3748/wjg.v23.i4.638
Table 1 Comparison between inflammatory bowel disease patients with and without available vitamin D concentration n (%)
IBD patients without available vitamin D concentration(n = 26)
IBD patients with available vitamin D concentration(n = 211)
P value
CD
10 (38.5)
129 (61.1)
0.034
Age (yr), median (IQR)
32 (26)
41 (25)
0.030
Female
12 (46.2)
125 (59.2)
0.213
AA
11 (42.3)
91 (43.1)
0.391
BMI (kg/m2), median (IQR)
25.6 (9.9)
27 (8.9)
0.176
Patients on vitamin D supplementation
2 (8.33)
36 (17.06)
0.271
Table 2 Comparison between inflammatory bowel disease and non- inflammatory bowel disease patients n (%)
Controls
IBD patients
P value
(n = 98)
(n = 211)
Patients with vitamin D deficiency
56 (57.1)
143 (61.6)
0.0694
Age at vitamin D testing (yr), median (IQR)
60.5 (14.5)
41 (25)
< 0.0001
Female
86 (87.8)
125 (59.2)
< 0.0001
AA
23 (23.9)
91 (43.1)
0.0009
BMI (kg/m2), median (IQR)
29.3 (7.5)
27 (8.9)
0.0438
Patients receiving vitamin D supplementation
Not available
36 (17.06)
Not Applicable
Table 3 Distribution of vitamin D concentration across various diagnosis, demographics (age, race, gender) and body mass index (modifiable risk factor) n (%)
Vitamin D
P value
Deficient
Insufficient
Sufficient
Total
309
100
99
110
(32.4)
(32.0)
(35.6)
Diagnosis
Controls
98 (31.7)
27.6%
29.6%
42.8%
0.0407
CD
129 (41.7)
40.3%
33.3%
26.4%
UC
82 (26.5)
25.6%
32.9%
41.5%
Age (yr)
< 35
72 (23.3)
38.9%
34.7%
26.4%
0.0415
35-49
73 (23.6)
34.2%
28.8%
37.0%
50-64
99 (32.0)
37.4%
28.3%
34.3%
> 65
65 (21.0)
15.4%
38.5%
46.2%
Race
White
189 (61.2)
21.7%
34.4%
43.9%
< 0.0001
AA
114 (36.9)
50.9%
28.1%
21.0%
Other
6 (1.9)
16.7%
33.3%
50.0%
Gender
Female
211 (68.3)
33.7%
32.2%
34.1%
0.6857
Male
98 (31.7)
29.6%
31.6%
38.8%
BMI (kg/m2)
< 25
97 (31.4)
29.9%
25.8%
44.3%
0.0110
25-30
102 (33.0)
27.5%
31.4%
41.2%
> 30
110 (35.6)
39.1%
38.2%
22.7%
Table 4 Associations of body mass index with diagnosis and demographic variables
n (%)
BMI < 25 kg/m2
BMI 25-30 kg/m2
BMI > 30 kg/m2
P value
Total
309
97
102
110
(31.4)
(33.0)
(35.6)
Diagnosis
Controls
98 (31.7)
20.4%
34.7%
44.9%
0.0048
CD
129 (41.7)
42.6%
29.5%
27.9%
UC
82 (26.5)
26.8%
36.6%
36.6%
Age (yr)
< 35
72 (23.3)
52.8%
29.2%
18.1%
0.0007
35-49
73 (23.6)
26.0%
30.1%
43.8%
50-64
99 (32.0)
23.2%
37.4%
39.4%
> 65
65 (21.0)
26.2%
33.9%
40.0%
Race
White
189 (61.2)
28.6%
36.5%
34.9%
0.5253
AA
114 (36.9)
36.0%
27.2%
36.8%
Other
6 (1.9)
33.3%
33.3%
33.3%
Gender
Female
211 (68.3)
27.5%
30.3%
42.2%
0.0017
Male
98 (31.7)
39.8%
38.8%
21.4%
Table 5 Distribution of vitamin D concentration across stratified levels of body mass index and diagnosis
n (%)
Vitamin D deficient
Vitamin D insufficient
Vitamin D sufficient
P value
BMI < 25 (kg/m2)
Total
97
29
25
43
(29.9)
(25.8)
(44.3)
Diagnosis
Controls
20 (20.6)
15.0%
15.0%
70.0%
0.0026
CD
55 (56.7)
43.6%
27.3%
29.1%
UC
22 (22.7)
9.1%
31.8%
59.1%
BMI = 25-30 (kg/m2)
Total
102
28
32
42
(27.5)
(31.4)
(41.2)
Diagnosis
Controls
34 (33.3)
26.5%
26.5%
47.1%
0.3894
CD
38 (37.3)
34.2%
36.8%
29.0%
UC
30 (29.4)
20.0%
30.0%
50.0%
BMI > 30 (kg/m2)
Total
110
43
42
25
(39.1)
(38.2)
(22.7)
Diagnosis
Controls
44 (40.0)
34.1%
38.6%
27.3%
0.8823
CD
36 (32.7)
41.7%
38.9%
19.4%
UC
30 (27.3)
43.3%
36.7%
20.0%
Table 6 Results of multivariate modelling with age, race, gender, body mass index and diagnosis as predictors of deficient, insufficient and sufficient vitamin D
Citation: Pallav K, Riche D, May WL, Sanchez P, Gupta NK. Predictors of vitamin D deficiency in inflammatory bowel disease and health: A Mississippi perspective. World J Gastroenterol 2017; 23(4): 638-645