| Literature DB >> 31541605 |
Xiaoning Yan1, Na Zhang2, Shenghui Cheng1, Zhaolin Wang3, Yanhong Qin1.
Abstract
BACKGROUND Vitamin D insufficiency is widespread in China. Various factors influence vitamin D level in the body. The present study investigated vitamin D status of residents in Jinzhong city, China, and analyzed the influence of gender on vitamin D status. MATERIAL AND METHODS In this cross-sectional study, 302 participants (176 men and 126 women) were recruited. Anthropometric data (body circumferences and height, weight) were collected, and serum vitamin D concentration was tested. RESULTS Inadequate levels of vitamin D were found in 69% of men and 75% of women. Women's 25(OH)D level (38.40±12.37 nmol/l) was substantially lower than that of the men (43.49±14.78 nmol/l) (p<0.01). The young women group had the lowest vitamin D level, which was even significantly below that of the elderly women group. Multiple linear regression analysis showed gender was significantly associated with vitamin D status (p<0.01). CONCLUSIONS Vitamin D deficiency is common in residents of Jinzhong during the winter. Compared to men, women are more prone to have inadequate vitamin D levels.Entities:
Year: 2019 PMID: 31541605 PMCID: PMC6767943 DOI: 10.12659/MSM.916326
Source DB: PubMed Journal: Med Sci Monit ISSN: 1234-1010
Descriptive characteristics of the participants.
| Variables | Men (n=176) | Women (n=126) | t-value or t’-value | |
|---|---|---|---|---|
| Age (y) | 46.48±15.06 | 45.52±13.25 | t=0.574 | 0.566 |
| WC (cm) | 87.33±6.13 | 76.32±5.04 | t’=31.058 | <0.001 |
| HC(cm) | 99.57±6.71 | 92.73±5.56 | t’=9.662 | <0.001 |
| WHR | 0.90±0.67 | 0.81±0.64 | t=1.173 | 0.242 |
| BMI (kg/m2) | 24.90±2.81 | 22.6±3.22 | t’=6.450 | <0.001 |
| 25(OH)D(nmol/L) | 43.49±14.78 | 38.40±12.37 | t’=3.248 | <0.001 |
WC – waist circumference; HC – hip circumference; BMI – body mass index; WHR – waist circumference/hip circumference; 25(OH)D – 25-hydroxyvitamin D; t-value is for data with homogeneity of variance, and t’-value is for data with heterogeneity of variance.
Distribution of different vitamin D levels in men and women.
| Gender | Vitamin D status | Chi-Square | |||
|---|---|---|---|---|---|
| Deficiency | Inadequacy | Sufficiency | |||
| Men (n=176) | 39 (22.16%) | 82 (46.59%) | 55 (31.25%) | 12.98 | <0.01 |
| Women (n=126) | 42 (33.33%) | 53 (42.06%) | 31 (24.60%) | ||
Figure 1(A) Distribution comparison of vitamin D status in men and women. (B) Vitamin D comparisons of different age groups in men and women.
Comparisons of 25(OH)D (nmol/L) by age rang in men and women.
| Age (years) | Men (n=176) | Women (n=126) | t-Value | |||
|---|---|---|---|---|---|---|
| n | Mean ±SD | n | Mean ±SD | |||
| <40 | 65 | 45.42±13.36 | 44 | 30.13±11.64* | 6.169 | <0.001 |
| 40–60 | 68 | 42.17±14.11 | 40 | 34.27±12.57*,** | 2.923 | 0.004 |
| >60 | 43 | 44.14±14.32 | 42 | 43.18±11.69** | 0.339 | 0.736 |
| F-value | 0.922 | 13.270 | ||||
| 0.400 | <0.001 | |||||
Different superscripts (*, **) represent significant differences between groups in the same column at p<0.05; 25(OH)D – 25-hydroxyvitamin D.
Multiple linear regression analysis for serum 25(OH)D concentration.
| B | SE | f-Value | ||
|---|---|---|---|---|
| Intercept | 47.35 | 13.12 | 10.2 | <0.01 |
| Gender (1=men; 2=women) | −9.48 | 2.97 | 12.6 | <0.01 |
| BMI | −2.17 | 0.36 | 5.18 | 0.08 |
BMI – body mass index.