| Literature DB >> 29391950 |
S Oussedik-Lehtihet1, C Haouichat1, N Hammoumraoui1, E Ducros2, C Gouhier-Kodas2, S Lancrenon3, H Djoudi1.
Abstract
PURPOSE: As the vitamin D status of Algerian postmenopausal women was poorly described, this cross-sectional study investigated the prevalence of low vitamin D status in a sample population. Secondarily, predictive factors of this hypovitaminosis D were explored.Entities:
Year: 2017 PMID: 29391950 PMCID: PMC5748113 DOI: 10.1155/2017/9032141
Source DB: PubMed Journal: J Nutr Metab ISSN: 2090-0724
Sociodemographic, biochemical, and clinical characteristics of the study population (n = 336).
| Mean ± SD or percentage | Min-max | ||
|---|---|---|---|
|
| |||
| Age (years) | — | 60.1 ± 8.5 | 45.0–87.0 |
| Age at menopause (years) | — | 47.4 ± 4.8 | 26.0–57.0 |
| Seasons of recruitment | Winter | 23.5% | — |
| Spring | 26.8% | — | |
| Summer | 25.0% | — | |
| Autumn | 24.7% | — | |
| Number of children | — | 6.5 ± 3.5 | 0.0–16.0 |
| Education level/schooling (%) | None | 57.7% | — |
| Primary education | 24.4% | — | |
| Average level | 15.5% | — | |
| University level | 2.4% | — | |
| Skin phototype | I–III | 50.6% | — |
| IV | 43.8% | — | |
| V | 5.7% | — | |
| Veiling | Yes | 96.1% | — |
| No | 3.9% | — | |
| Rural or urban area | Urban | 74.1% | — |
| Rural | 25.9% | — | |
| Daily calcium intake | — | 491.0 ± 181.3 | 149.6–1334.9 |
| <500 mg | 58.3% | — | |
| ≥500–<700 mg | 30.1% | — | |
| ≥700–<800 mg | 5.4% | — | |
| ≥800 mg | 6.3% | — | |
| Daily vitamin D intake (IU) | — | 56 ± 44 | 0–220 |
|
| |||
| BMI (kg/m2) | — | 28.5 ± 5.3 | 15.0–50.0 |
| T-score ≤ −2.5 | Hip | 12.8% | — |
| Lumbar spine | 32.2% | — | |
| Osteoporosis∗ | — | 32.8% | — |
| History of fracture | Yes | 16.1% | — |
|
| |||
| 25(OH)D (ng/mL) | — | 14.4 ± 5.3 | 4.0–35.9 |
| PTH (pg/mL) | — | 64.2 ± 25.1 | 14.0–179.6 |
∗T-score of the lumbar spine and/or lower hip ≤ −2.5; IU: international units; SD: standard deviation.
Figure 1Distribution of the 25-hydroxyvitamin D (25(OH)D) concentrations across the entire study population (n = 336).
Results of the univariate and multivariate logistic regression models for the association of subject characteristics with vitamin D hypovitaminosis with the cutoff value of 17 ng/mL∗.
| Characteristic |
| Modalities for OR calculation | OR (95% CI) |
|---|---|---|---|
|
| |||
| Age | 0.41 | Continuous | 0.99 (0.96–1.02) |
| Duration of menopause | 0.46 | Continuous | 0.99 (0.97–1.02) |
| Parity | 0.75 | Continuous | 1.01 (0.94–1.09) |
| BMI | 0.05 | <30 kg/m2 versus ≥30 kg/m2 | 0.61 (0.36–1.01) |
| Habitat/housing | 0.32 | Urban versus rural | 1.31 (0.76–2.26) |
| Education level | 0.81 | Education versus no education | 0.82 (0.50–1.33) |
| Skin phototype | 0.82 | Dark versus light | 1.13 (0.69–1.84) |
| Veiling | 0.09 | Yes or no | 2.56 (0.84–7.84) |
| T-score spine | 0.95 | Continuous | 0.99 (0.83–1.18) |
| DMO spine | 0.93 | Abnormal versus normal | 0.98 (0.58–1.65) |
| T-score hip | 0.19 | Continuous | 1.12 (0.93–1.36) |
| DMO hip | 0.67 | Abnormal versus normal | 0.80 (0.49–1.31) |
|
| |||
| BMI | 0.02 | <30 kg/m2 versus ≥30 kg/m2 | 1.826 (1.081–3.083) |
| Veiling | 0.0353 | Yes or no | 3.526 (1.090–11.400) |
| Season | <0.0001 | Summer versus other pooled seasons | 4.159 (2.456–7.043) |
∗ p value was calculated for each variable according to the Mann–Whitney test or chi-square test.