Vitamin D Status of Husbands of Pregnant Women in Dhaka, Bangladesh
Notice bibliographique
Résumé
Vitamin D deficiency is common among women of reproductive age in South Asia, and may be due to a range of factors including skin pigmentation, conservative dress, sun avoidance, and air pollution. However, these risk factors are challenging to measure precisely and often lack variability within study populations. Under the same household and environmental conditions, men may have greater skin exposure and time outdoors; however, there are few reports of men's vitamin D status in these settings. In a preliminary study of the effect of gender‐specific lifestyle factors on vitamin D status in Bangladesh, we aimed to describe the vitamin D status in a sample of pairs of pregnant women and their husbands (n=83) participating in an ongoing vitamin D supplementation trial. Among men, 25‐hydroxyvitamin D (25(OH)D) was measured in plasma; among women, 25(OH)D at trial enrolment (2 nd trimester) was measured in plasma (n=22) or serum (n=61). In a separate but overlapping sample of pregnant women with serum 25(OH)D <80nmol/L (n=49), plasma 25(OH)D (19.5 ± 10.0 nmol/L) was linearly correlated with, but significantly lower than, concurrent serum 25(OH)D (24.4 ± 11.9 nmol/L; p<0.0001). We converted serum to plasma 25(OH)D using a linear correction formula ( Plasma=0.892+0.753*Serum, R 2 =0.8 ) for the 61 women with serum only. All analyses accounted for the matched pair design. 50% of the men but only 23% of women spent ≥2 hours outdoors per day during daytime hours (n = 82, p=0.0007). 24% of men and 0% of women reported outdoor professions (p<0.0001). All serum/plasma samples were drawn from March to July 2014. Men were sampled 27.1 ± 19.9 days after their spouses, on average. Men's mean 25(OH)D (55.2 ±17.5 nmol/L) was significantly higher than women's (21.6 ±10.7nmol/L) after adjusting for calendar timing of serum/plasma sampling (mean difference = 30.7 nmol/L; p<0.0001). A significantly lower proportion of men (6.0%) were vitamin D deficient (25(OH)D<30nmol/L) vs women (21.7%; p<0.0001 after adjustment for calendar timing), and vitamin D sufficiency at the ≥40nmol/L and ≥50 nmol/L cut‐offs was significantly more common among men (73.8% and 60.7%, respectively) vs their spouses (9.6% and 0.0%, p<0.0001 for both comparisons after adjustment for calendar timing). In conclusion, men had substantially higher circulating 25(OH)D concentrations and lower risk of vitamin D deficiency than their pregnant spouses in Dhaka. Gender‐related lifestyle factors, rather than ethnic or environmental factors likely explain the high risk of vitamin D deficiency among women of reproductive age in Bangladesh. In the present study, pregnancy may also have directly reduced 25(OH)D (e.g., plasma volume expansion). Further research in an expanded study sample will explore specific factors that explain the gender discrepancy in vitamin D status in this setting, as well as the specific effect of pregnancy on circulating 25(OH)D. Support or Funding Information Bill and Melinda Gates Foundation
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».