| Literature DB >> 30902083 |
Ming-Jse Lee1, Heng-Jung Hsu1,2,3, I-Wen Wu1,2, Chiao-Yin Sun1,2, Ming-Kuo Ting4, Chin-Chan Lee5,6.
Abstract
BACKGROUND: Vitamin D deficiency has become an important public health problem, however few studies have been conducted in subtropical countries, and the predictors of vitamin D deficiency in people with healthy renal function are unclear. The objective of this study was to evaluate the prevalence and factors associated with vitamin D deficiency in northern Taiwan.Entities:
Keywords: Prevalence; Risk factor; Taiwan; Vitamin D deficiency
Mesh:
Substances:
Year: 2019 PMID: 30902083 PMCID: PMC6431073 DOI: 10.1186/s12889-019-6657-9
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Baseline characteristics according to the presence or absence of vitamin D deficiency
| Normal | Vitamin D Deficiency | ||
|---|---|---|---|
| N | 3230 | 724 | |
| Age (years) | 56.98 ± 12.18 | 48.81 ± 12.53 | < 0.001* |
| Male (%) | 1253/3230 (38.8) | 138/724 (19.1) | < 0.001* |
| 25(OH) D (ng/mL) | 31.94 ± 8.77 | 15.49 ± 3.37 | < 0.001* |
| Triglyceride (mg/dL) | 118.50 ± 92.53 | 121.1 6 ± 110.50 | 0.500 |
| HDL (mg/dL) | 57.48 ± 14.98 | 56.67 ± 14.39 | 0.187 |
| LDL (mg/dL) | 126.90 ± 33.18 | 123.66 ± 31.94 | 0.099 |
| Hemoglobin (g/dL) | 13.91 ± 1.48 | 13.26 ± 1.61 | < 0.001* |
| Alkaline P (U/L) | 65.88 ± 19.56 | 63.38 ± 18.98 | 0.002* |
| Insulin (uU/mL) | 7.91 ± 7.81 | 8.07 ± 7.25 | 0.630 |
| HsCRP (mg/L) | 2.15 ± 5.24 | 1.60 ± 2.43 | < 0.001* |
| Creatinine (mg/dL) | 0.74 ± 0.18 | 0.66 ± 0.15 | < 0.001* |
| eGFR (ml/min/1.73 m2) | 96.93 ± 21.52 | 107.93 ± 24.76 | < 0.001* |
| Calcium (mg/dL) | 9.36 ± 0.33 | 9.28 ± 0.33 | < 0.001* |
| Phosphate (mg/dL) | 3.81 ± 0.54 | 3.89 ± 0.51 | < 0.001* |
| Albumin (g/dL) | 4.71 ± 0.28 | 4.68 ± 0.27 | 0.011* |
| Hemoglobin A1C (%) | 5.78 ± 0.68 | 5.73 ± 0.78 | 0.066 |
| IPTH (pg/ml) | 43.50 ± 19.10 | 49.59 ± 22.69 | < 0.001* |
| HOMA IR (units) | 2.10 ± 3.01 | 2.08 ± 2.52 | 0.915 |
| BMI (kg/m2) | 24.65 ± 3.72 | 23.96 ± 3.99 | < 0.001* |
Notes: Values are expressed as mean ± SD or total number (percent)
*p value < 0.05
Statistical significance based on the Chi-square test for categorical variables or t-test for continuous variables
Abbreviation: HDL high density lipoprotein-cholesterol, LDL low density lipoprotein-cholesterol, Alkaline P alkaline phosphatase, HsCRP high sensitivity C-reactive protein, eGFR estimate glomerular filtration rate, IPTH intact parathyroid hormone, HOMA-IR homeostasis model assessment of IR, BMI body mass index
Fig. 1The prevalence of 25(OH) vitamin D deficiency in the study population in different age groups by multivariate analysis (*P < 0.05)
Fig. 2The prevalence of 25(OH) vitamin D deficiency in the study population in different education levels by multivariate analysis (*P < 0.05)
Fig. 3The prevalence of 25(OH) vitamin D deficiency in the study population in different occupations by multivariate analysis. Occupation classification: (a) (Agriculture); (b) (Fishery); (c) (Manufacturing Industry); (d) (Government employee); (e) (Homemaker); (f) (Service industry) (*P < 0.05)
Fig. 4The prevalence of 25(OH) vitamin D deficiency in the study population in different residential districts by multivariate analysis (*P < 0.05)
Multiple logistic regression analysis for associations with vitamin D deficiency
| Univariate Odds ratio | 95% CI | Multivariate Odds ratio | 95% CI | |||
|---|---|---|---|---|---|---|
| Male | 0.372 | 0.305–0.453 | < 0.001* | 0.339 | 0.269–0.429 | < 0.001* |
| Age (years) | ||||||
| 30–40 | Ref. | Ref. | ||||
| 40–50 | 0.585 | 0.458–0.747 | < 0.001* | 0.605 | 0.460–0.795 | < 0.001* |
| 50–60 | 0.302 | 0.240–0.381 | < 0.001* | 0.396 | 0.301–0.520 | < 0.001* |
| 60–70 | 0.186 | 0.144–0.241 | < 0.001* | 0.309 | 0.223–0.430 | < 0.001* |
| 70–80 | 0.124 | 0.083–0.187 | < 0.001* | 0.292 | 0.176–0.484 | < 0.001* |
| > 80 | 0.227 | 0.118–0.436 | < 0.001* | 0.662 | 0.299–1.468 | 0.308 |
| Occupation | ||||||
| Agriculture | Ref. | Ref. | ||||
| Fishery | 1.019 | 0.266–3.905 | 0.978 | 1.460 | 0.358–5.951 | 0.597 |
| Manufacturing industry | 2.637 | 0.810–0.584 | 0.107 | 1.666 | 0.477–5.824 | 0.424 |
| Government employee | 4.023 | 1.223–13.226 | 0.022* | 1.496 | 0.420–5.328 | 0.535 |
| Homemaker | 3.936 | 1.211–12.801 | 0.023* | 1.801 | 0.516–6.289 | 0.357 |
| Service industry | 5.226 | 1.624–16.817 | 0.006* | 2.058 | 0.594–7.132 | 0.255 |
| Education level | ||||||
| Un-educated | Ref. | Ref. | ||||
| Primary school | 1.050 | 0.653–1.690 | 0.840 | 1.065 | 0.619–1.832 | 0.820 |
| Junior high school | 1.276 | 0.784–2.077 | 0.326 | 1.051 | 0.586–1.884 | 0.868 |
| Senior high school | 2.629 | 1.687–4.098 | < 0.001* | 1.944 | 1.111–3.400 | 0.020* |
| University | 4.298 | 2.758–6.698 | < 0.001* | 2.706 | 1.510–4.848 | 0.001* |
| Graduate school | 4.575 | 2.552–8.204 | < 0.001* | 2.915 | 1.390–6.115 | 0.005* |
| Residential district | ||||||
| Anle | Ref. | Ref. | ||||
| Gongliao | 0.509 | 0.386–0.670 | < 0.001* | 0.608 | 0.439–0.843 | 0.003* |
| Ruifang | 0.894 | 0.719–1.113 | 0.317 | 1.122 | 0.869–1.450 | 0.377 |
| Wanli | 0.451 | 0.348–0.585 | < 0.001* | 0.500 | 0.373–0.670 | < 0.001* |
| Coffee (yes) | 1.635 | 1.368–1.955 | < 0.001* | 1.170 | 0.943–1.453 | 0.154 |
| Tea (yes) | 1.155 | 0.973–1.372 | 0.100 | 0.755 | 0.612–0.933 | 0.009* |
| Physical activity (hours/day) | 0.499 | 0.410–0.607 | < 0.001* | 0.644 | 0.522–0.795 | < 0.001* |
*p value < 0.05.
Statistical significance based on the Chi-square test for categorical variable