| Literature DB >> 33154683 |
He He1, Yuping Zeng1, Xia Wang1, Lidan Yang1, Mei Zhang1, Zhenmei An2.
Abstract
OBJECTIVE: The aim of this study was to investigate the status of Vitamin D deficiency and the effect of environmental factors on Vitamin D levels so as to provide theoretical support for public health promotion in this region.Entities:
Keywords: 25 hydroxyvitamin D; Vitamin D deficiency; air quality index; environmental factors
Year: 2020 PMID: 33154683 PMCID: PMC7605970 DOI: 10.2147/RMHP.S273145
Source DB: PubMed Journal: Risk Manag Healthc Policy ISSN: 1179-1594
The Prevalence of Vitamin D Deficiency in West China
| Deficient N (%) | Insufficient N (%) | Sufficient N (%) | ||
|---|---|---|---|---|
| All subjects | 1159 (5.18) | 8282 (36.99) | 12,946 (57.83) | – |
| Sex | ||||
| Males | 366 (3.0) | 3773 (31.1) | 7980 (65.8) | <0.001 |
| Females | 793 (7.7) | 4509 (43.9) | 4966 (48.4) | |
| Age | ||||
| (17,20) | 18 (11.3) | 64 (40.3) | 77 (48.4) | <0.001 |
| (20,30) | 211 (10.7) | 958 (48.7) | 797 (40.5) | |
| (30,40) | 296 (5.9) | 2108 (42.1) | 2607 (52.0) | |
| (40,50) | 427 (4.8) | 3274 (37.0) | 5157 (58.2) | |
| (50,60) | 207 (3.2) | 1878 (29.4) | 4308 (67.4) | |
The 25-OH-Vitamin D Levels (Nmol/L) in Different Groups
| All | Deficient | Insufficient | Sufficient | |
|---|---|---|---|---|
| All subjects | 53.2 (42.5–66.1) | 26.4 (23.5–28.4) | 41.8 (36.9–46.1) | 63.6 (56.3–74.6) |
| Sex | ||||
| Males | 56.9 (45.8–69.8) | 26.9 (24.0–28.6) | 42.7 (37.6–46.4) | 65.0 (57.1–76.4) |
| Females | 49.3 (39.1–61.2) | 26.2 (23.3–28.2) | 41.1 (36.3–45.7) | 61.7 (55.3–71.5) |
| Age | ||||
| (17,20) | 49.0 (38.8–59.9) | 25.7 (24.1–27.7) | 40.8 (37.4–46.2) | 60.0 (55.6–69.8) |
| (20,30) | 46.4 (36.8–58.1) | 26.4 (23.5–27.9) | 40.0 (36.1–45.3) | 61.1 (55.2–69.8) |
| (30,40) | 50.7 (40.9–62.5) | 26.5 (23.9–28.7) | 41.7 (36.7–45.9) | 62.0 (55.3–72.0) |
| (40,50) | 53.4 (42.7–66.0) | 26.3 (23.2–28.2) | 41.8 (36.9–46.1) | 63.6 (56.4–74.2) |
| (50,60) | 57.6 (46.3–71.1) | 26.6 (24.2–28.5) | 42.9 (37.8–46.5) | 65.7 (57.3–78.1) |
Figure 1The fluctuations of Vitamin D levels throughout a year with different environmental factors.
Figure 2The prevalence of VDD in a different environment. (A) Vitamin D deficiency is the lowest in summer and autumn. (B, C) With the increase of total radiation and net radiation, the sufficient proportion of Vitamin D increased, while the percentage of insufficient and deficiency decreased. (D) In the heavy pollution, Vitamin D deficiency was worst, while in the excellent AQI, the status of sufficient Vitamin D was the best.
Univariable and Multivariable Linear Regression of VD
| Variables | Univariable | Multivariable | ||
|---|---|---|---|---|
| Coef (95% CI) | Coef (95% CI) | |||
| Sex (males) | 7.46 (6.99–7.94) | <0.001 | 7.80 (7.32–8.27) | <0.001 |
| Age | 0.38 (0.35–0.41) | <0.001 | 0.38 (0.35–0.40) | <0.001 |
| Season | ||||
| Summer (reference) | ||||
| Spring | −7.60 (−8.31–6.90) | <0.001 | −8.69 (−9.44–7.94) | <0.001 |
| Autumn | 0.26 (−0.30–0.82) | 0.36 | 0.82 (0.21–1.43) | 0.009 |
| Winter | −8.51 (−9.28–7.74) | <0.001 | −6.51 (−7.53–5.50) | <0.001 |
| AQI | −5.22 (−6.54–3.90) | <0.001 | −1.32 (−2.82–0.18) | 0.08 |
| Total radiation | 2.24 (1.41–3.06) | <0.001 | 2.39 (1.36–3.43) | <0.001 |