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        ©The Author(s) 2017.
    
    
        World J Gastroenterol. Jan 28, 2017; 23(4): 638-645
Published online Jan 28, 2017. doi: 10.3748/wjg.v23.i4.638
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
        
    | Full model | Global | Reduced model | Global | |||
| OR | OR | P value (full) | OR | OR | P value (reduced) | |
| (95%CI), | (95%CI), | (95%CI), | (95%CI), | |||
| deficient vs sufficient | insufficient vs sufficient | deficient vs sufficient | insufficient vs sufficient | |||
| Diagnosis | 0.1482 | 0.0852 | ||||
| Controls | Ref. | Ref. | Ref. | Ref. | ||
| CD | 1.71 | 2.11 | 2.22 | 2.16 | ||
| (0.74, 3.94) | (0.95, 4.69) | (1.07, 4.63) | (1.07, 4.36) | |||
| UC | 0.73 | 1.13 | 0.92 | 1.2 | ||
| (0.30, 1.76) | (0.50, 2.53) | (0.42, 2.02) | (0.59, 2.48) | |||
| Gender | 0.9584 | |||||
| Female | Ref. | Ref. | ||||
| Male | 0.9 | 0.95 | ||||
| (0.46, 1.79) | (0.50, 1.81) | |||||
| Age (yr) | 0.1578 | |||||
| < 35 | 3.62 | 1.47 | ||||
| (1.18, 11.12) | (0.56, 3.83) | |||||
| 35-49 | 1.9 | 0.68 | ||||
| (0.68, 5.30) | (0.28, 1.63) | |||||
| 50-64 | 2.61 | 0.86 | ||||
| (1.04, 6.58) | (0.40, 1.86) | |||||
| > 65 | Ref. | Ref. | ||||
| Race | 0.00061 | < 0.00011 | ||||
| AA | Ref. | Ref. | Ref. | Ref. | ||
| White | 0.251 | 0.67 | 0.231 | 0.64 | ||
| (0.13, 0.48) | (0.34, 1.29) | (0.12, 0.43) | (0.33, 1.22) | |||
| Other | 0.3 | 0.68 | 0.18 | 0.57 | ||
| (0.03, 3.38) | (0.09, 4.89) | (0.02, 1.95) | (0.08, 3.96) | |||
| BMI (kg/m2) | 0.00171 | 0.00301 | ||||
| < 25 | 0.68 | 0.57 | 0.71 | 0.63 | ||
| (0.32, 1.43) | (0.28, 1.17) | (0.34, 1.48) | (0.31, 1.26) | |||
| 25-30 | Ref. | Ref. | Ref. | Ref. | ||
| > 30 | 2.711 | 2.361 | 2.611 | 2.271 | ||
| (1.28, 5.73) | (1.17, 4.75) | (1.26, 5.42) | (1.14, 4.52) | |||
- 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
- URL: https://www.wjgnet.com/1007-9327/full/v23/i4/638.htm
- DOI: https://dx.doi.org/10.3748/wjg.v23.i4.638

 
         
                         
                 
                 
                 
                 
                 
                         
                         
                        