| Literature DB >> 30666233 |
Zhongjian Xie1, Weibo Xia2, Zhenlin Zhang3, Wen Wu4, Chunyan Lu5, Shuqing Tao6, Lijun Wu7, Jiemei Gu3, Julie Chandler8, Senaka Peter8, Hang Yuan9, Ting Wu10, Eryuan Liao1.
Abstract
Purpose: We aimed to investigate the status of serum 25-hydroxyvitamin D [25(OH)D] among Chinese postmenopausal women in a multicenter cross-sectional study.Entities:
Keywords: intact parathyroid hormone; postmenopausal women; urban; vitamin D deficiency; winter
Year: 2019 PMID: 30666233 PMCID: PMC6330713 DOI: 10.3389/fendo.2018.00782
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 5.555
Figure 1Study flowchart for enrolment. Four subjects had 25(OH)D < LLoQ and were not included in the analysis for the continuous variable. Subjects who had missing femoral neck DXA may have BMD measured at another anatomical site. Study completion was deemed as subjects who had all study procedures as per protocol. Subjects failed to return for the remained study procedure were deemed lost-to-follow-up. All subjects with non-missing data were included in the corresponding analysis.
Demographic and clinical characteristics for all included subjects.
| 65.4 (7.6) | |
| Elderly subjects (>70) | 473 (28.0%) |
| Urban | 848 (50.2%) |
| Rural | 840 (49.8%) |
| 24.9 (3.6) | |
| Obese (≥ 28.0) | 311 (18.4%) |
| No education | 318 (18.8%) |
| Higher education | 129 (7.6%) |
| Low (>-1) | 761 (45.1%) |
| Medium (−1 to −4) | 651 (38.6%) |
| High (< -4) | 276 (16.4%) |
| Osteoporosis (T-score ≤ -2.5) | 263 (15.6%) |
| Diabetes mellitus | 204 (12.1%) |
| Osteoporosis | 88 (5.2%) |
| Fragility fracture | 208 (12.3%) |
| 9 (0.5%) | |
| 60 (3.6%) | |
| 160 (9.5%) | |
| No | 238 (14.1%) |
| High | 521 (30.9%) |
| 9.3 (0.4) | |
| 3.6 (0.4) | |
| 41.0 (23.0) | |
Data are expressed as mean (SD) and number (%).
There are 62z subjects with missing femoral neck BMD values.
There are 25 (1.5%), 9 (0.5%), and 7 (0.4%) subjects reported fractures at the spine, the pelvis, and the hip, respectively; 41 (2.4%) reported unspecified leg fractures.
Includes calcium and calcium-containing supplements. Subjects who reported the use of more than one type of calcium supplement were only counted once.
Includes vitamin D and vitamin D-containing supplements. Subjects who reported the use of more than one type of vitamin D supplement were only counted once.
Calculated as the number of hours per week spent outside without sun protection multiplied by percentage body part exposed to sunlight (9% for face, 1% for each hand, 9% for each arm, and 18% for each leg).
Prevalence of suboptimal vitamin D status.
| Overall | 1,535/1,684 (91.2%) | (89.7, 92.5) | 1,033/1,684 (61.3%) | (59.0, 63.7) | 630 (37.4%) | (35.1, 39.8) |
| Low (>-1) | 706/759 (93.0%) | (91.0, 94.7) | 479/759 (63.1%) | (59.6, 66.6) | 302/759 (39.8%) | (36.3, 43.4) |
| Medium (−1 to −4) | 586/649 (90.3%) | (87.8, 92.5) | 391/649 (60.2%) | (56.4, 64.0) | 233/649 (35.9%) | (32.2, 39.7) |
| High (< -4) | 243/276 (88.0%) | (83.6, 91.6) | 163/276 (59.1%) | (53.0, 64.9) | 95/276 (34.4%) | (28.8, 40.4) |
| Normal | 447/474 (94.3%) | (91.8, 96.2) | 298/474 (62.9%) | (58.3, 67.2) | 190/474 (40.1%) | (35.6, 44.7) |
| Osteopenia | 805/889 (90.6%) | (88.4, 92.4) | 544/889 (61.2%) | (57.9, 64.4) | 324/889 (36.4%) | (33.3, 39.7) |
| Osteoporosis | 232/263 (88.2%) | (83.7, 91.8) | 150/263 (57.0%) | (50.8, 63.1) | 90/263 (34.2%) | (28.5, 40.3) |
Data are presented as n/N (%).
CI, Confidence interval.
Excluded 4 subjects with missing samples and include 4 subjects with serum 25(OH)D levels below LOQ (< 3 ng/mL).
Figure 2(A) Prevalence of vitamin D inadequacy by season. *P < 0.01 from Chi-square test of the comparison of summer vs. winter subjects. (B) Prevalence of vitamin D inadequacy in urban and rural dwellers. *P < 0.01 from Chi-square test of the comparison of urban vs. rural dwellers.
Multivariate analysis of relative risk for vitamin D deficiency [25(OH)D < 20 ng/mL].
| ≤70/>70 | 1,211/473 | 61.3/61.5 | Ref/1.36 | (0.89–2.10) | 0.16 |
| Urban/Rural | 844/840 | 64.9/57.7 | Ref/0.59 | (0.40–0.86) | < 0.01 |
| No education | 317 | 65 | Ref | – | |
| Primary/Elementary school | 642 | 58.9 | 0.62 | (0.42–0.93) | 0.02 |
| College/University/Graduate school | 129 | 60.5 | 0.51 | (0.25–1.02) | 0.06 |
| < 24 kg/m2/≥24 kg/m2 | 702/982 | 58.0/63.7 | Ref/1.11 | (0.78–1.58) | 0.57 |
| Summer/Winter | 722/721 | 41.3/84.7 | Ref/7.62 | (5.52–10.54) | < 0.0001 |
| Yes/No | 261/1,423 | 61.7/61.3 | Ref/0.83 | (0.56–1.23) | 0.35 |
| Excellent-Very Good/Fair-Poor | 261/937 | 62.5/59.6 | Ref/0.57 | (0.38–0.86) | < 0.01 |
| Yes/No | 609/939 | 59.8/61.9 | Ref/0.93 | (0.65–1.32) | 0.67 |
| Yes/No | 57/1,624 | 57.9/61.4 | Ref/0.99 | (0.46–2.15) | 0.98 |
| Yes/No | 107/1,509 | 69.2/60.9 | Ref/0.43 | (0.23–0.81) | < 0.01 |
| Yes/No | 367/1,317 | 53.7/63.5 | Ref/1.15 | (0.82–1.62) | 0.41 |
| Yes/No | 615/1,069 | 61.3/61.4 | Ref/0.83 | (0.62–1.11) | 0.21 |
| Yes/No any milk product | 56/919 | 48.2/61.7 | Ref/1.41 | (0.66–3.00) | 0.38 |
| Yes/No | 708/976 | 65.8/58.1 | Ref/0.86 | (0.63–1.16) | 0.32 |
| Yes/No | 1,256/428 | 58.9/68.5 | Ref/1.60 | (1.15–2.22) | < 0.01 |
| Low (>-1) | 759 | 63.1 | Ref | – | |
| Medium (−1 to −4) | 649 | 60.2 | 0.91 | (0.63–1.32) | 0.63 |
| High (< -4) | 276 | 59.1 | 0.82 | (0.44–1.50) | 0.51 |
| Yes/No | 150/1,534 | 50.7/62.4 | Ref/1.75 | (1.08–2.85) | 0.02 |
| High | 520 | 51.5 | Ref | – | |
| Middle | 457 | 66.7 | 1.31 | (0.94–1.85) | 0.12 |
| Low | 450 | 70.4 | 1.12 | (0.79–1.60) | 0.53 |
Subjects with “Unknown” in any category were excluded from analysis;
Reported consumption of fish at least once in the past month;
++Excluded subjects using active analogs (alfacalcidol and calcitriol).
Calculated as the number of hours per week spent outside without sun protection multiplied by percentage body part exposed to sunlight (9% for face, 1% for each hand, 9% for each arm, and 18% for each leg). Sun exposure index was categorized into tertiles.
Figure 3(A) Relationship between serum 25(OH)D and serum PTH levels (N = 1,679). Subjects with serum 25(OH)D levels >50 ng/ml were excluded (n = 4 summer and n = 1 winter). (B) Applied quadratic fit with plateau model to predict iPTH cutoff for 25(OH)D trends. Subjects with serum 25(OH)D levels >50 ng/ml were excluded (n = 4 summer and n = 1 winter).
Univariate linear regression analysis for serum ß-CTx and P1NP.
| 25(OH)D, ng/ml | −0.004 | 0.004 | 0.25 | −0.004 | 0.003 | 0.24 |
| PTH, pg/ml | 0.003 | 0.001 | 0.04 | 0.001 | 0.001 | 0.59 |
| Age, years | −0.003 | 0.003 | 0.39 | −0.002 | 0.003 | 0.42 |
| YSM, years | −0.002 | 0.003 | 0.49 | −0.001 | 0.002 | 0.55 |
| BMI, kg/m2 | −0.024 | 0.006 | < 0.0001 | −0.015 | 0.005 | < 0.01 |
*Winter season sample from Beijing, Shanghai, and Hunan. SE, standard error; YSM, years since menopause .
ß-CTx: 0.523 (0.22)/P1NP: 54.5 (24.0); data are presented as mean (SD); ß -CTx is log-transformed to achieve a normal distribution. ß-CTx and P1NP levels were not significantly different as grouped by subjects who had serum 25(OH)D> = 30, 20–30, and < 20 ng/mL, respectively (ANOVA P = 0.22, 0.19).