| Literature DB >> 30256062 |
Albaraa Altowijri1, Aladeen Alloubani, Ibrahim Abdulhafiz, Abdulmoneam Saleh.
Abstract
Background: Vitamin D can be obtained through a variety of food sources; however, ultraviolet rays in the sunlight can convert a natural substance in the skin known as ergosterol to vitamin D. Aim: This study aims to investigate the prevalence and risk factors linked to vitamin D deficiency among a group of apparently healthy young male and female Tabuk citizens in Saudi Arabia.Entities:
Keywords: Vitamin D deficiency; nutritional and environmental factors; Tabuk citizens
Mesh:
Year: 2018 PMID: 30256062 PMCID: PMC6249461 DOI: 10.22034/APJCP.2018.19.9.2569
Source DB: PubMed Journal: Asian Pac J Cancer Prev ISSN: 1513-7368
Figure 1Vitamin D Status among Participants.
Socio-demographic and Lifestyle Features Associated with Vitamin D Deficiency Using Chi-square Analysis
| Variables | Vitamin D Sufficiency | Vitamin D Deficiency | Vitamin D Severe Deficiency | Chi-square | P-value |
|---|---|---|---|---|---|
| Gender | |||||
| Male | 50 (33.3%) | 70 (46.7%) | 30 (20%) | 14.51 | 0.001* |
| Female | 39 (19.5%) | 88 (44%) | 73 (36.5%) | ||
| Marital status | |||||
| Single | 43 (26.1%) | 74 (44.8%) | 48 (29.1%) | 0.06 | 0.96 |
| Married | 46 (24.9%) | 84 (45.4%) | 55 (29.7%) | ||
| Residential area | |||||
| Urban | 79 (25.8%) | 137 (44.8%) | 90 (29.4%) | 0.21 | 0.89 |
| Rural | 10 (22.7%) | 21 (47.8%) | 13 (29.5%) | ||
| Income | |||||
| > 6,000 SR | 38 (32.7%) | 51 (44%) | 27 (23.3%) | 6.07 | 0.19 |
| 6,000-12,000 SR | 37 (22.4%) | 75 (45.5%) | 53 (32.1%) | ||
| < 12000 SR | 14 (20.3%) | 32 (46.4%) | 23 (33.3%) | ||
| Smoking | |||||
| Smoker | 32 (13.3%) | 127 (53%) | 81 (33.7%) | 59.00 | < 0.001* |
| Non-smoker | 57 (51.8%) | 31 (28.2) | 22 (20%) | ||
| Sun exposure | |||||
| Frequently | 62 (67.4%) | 23 (25%) | 7 (7.6%) | 128.23 | < 0.001* |
| Sometimes | 23 (17%) | 72 (53.3%) | 40 (29.6%) | ||
| Rarely | 4 (3.2%) | 63 (51.2%) | 56 (45.6%) | ||
| BMI | |||||
| <24.9 | 74 (74%) | 18 (18%) | 8 (8%) | 182.33 | < 0.001* |
| 25–29.9 | 15 (10%) | 88 (58.3%) | 48 (31.7%) | ||
| ≥ 30 | 0 (0%) | 52 (52.5%) | 47 (47.5%) | ||
| Exercise | |||||
| Frequently | 67 (74.4%) | 15 (16.7%) | 8 (8.9%) | 160.93 | < 0.001* |
| Sometimes | 19 (12.1%) | 90 (57.3%) | 48 (30.6%) | ||
| Rarely | 3 (2.9%) | 53 (51.4%) | 47 (45.6%) | ||
| Vitamin D intake | |||||
| ≥ DRI | 73 (62.9%) | 26 (22.4%) | 17 (14.7%) | 128.68 | < 0.001* |
| < DRI | 16 (6.8%) | 132 (56.4%) | 86 (36.8%) | ||
| Calcium intake | |||||
| ≥ DRI | 71 (59.7%) | 30 (25.2%) | 18 (15.1%) | 111.50 | < 0.001* |
| < DRI | 18 (7.8%) | 128 (55.4%) | 85 (36.8%) | ||
Abbreviations, BMI, body mass index; DRI, Dietary Reference Intake; a 600 I U/d according to DRI for vitamin D. b 1000 mg/d according to DRI for calcium.
Age Associated with Vitamin D Status Using Linear Regression Analysis
| Model | Coefficientsa | t | P-value | ||
|---|---|---|---|---|---|
| Unstandardized Coefficients | Standardized Coefficients | ||||
| B | Std. Error | Beta | |||
| (Constant) | 2.371 | 0.138 | 17.188 | < 0.001 | |
| Age | -0.010 | 0.004 | -0.133 | -2.505 | 0.013 |
R2, 0.018; adjusted R2, 0.015; a. Dependent Variable, Vitamin D Status. b. Predictors, (Constant); Age
Spearman’s rho Correlation Analysis of the Variables Associated with Vitamin D Status
| Vitamin D Status | ||
|---|---|---|
| Correlation Coefficient | P-value | |
| Sun Exposure | 0.515** | < 0.001* |
| BMI | 0.574** | < 0.001* |
| Exercise | 0.525** | < 0.001* |
| Vitamin D Intake | 0.466** | < 0.001* |
| Vitamin D Intake | 0.465** | < 0.001* |
| Smoking | -0.328** | < 0.001* |
| Age | -0.133* | 0.013 |
| Income | 0.118* | 0.027 |