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Vitamin D Status of Husbands of Pregnant Women in Dhaka, Bangladesh

2016· article· en· W2559421880 on OpenAlexaff
Joy Shi, Eszter Papp, Alison D. Gernand, Daniel Roth

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsSickKids FoundationCentre for Global Health ResearchHospital for Sick ChildrenUniversity of Toronto
FundersBill and Melinda Gates Foundation
KeywordsVitaminMedicineObstetricsEnvironmental healthGynecologyEndocrinology

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.293
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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