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Diet, Nutritional Indicators, Infections and Inflammation Are Associated with Mean Arterial Pressure (MAP) in Indigenous Pregnant and Lactating Women in Rural Panama

2017· article· en· W3036267925 on OpenAlexaffabout
Doris González‐Fernández, Emérita del Carmen Pons, Delfina Rueda, Odalis Sinisterra, Enrique Murillo, Marilyn E. Scott, Kristine G. Koski

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicinePregnancyMean arterial pressureBlood pressurePhysiologyInternal medicineObstetricsEndocrinologyBiology

Abstract

fetched live from OpenAlex

Background Hypertensive disorders of pregnancy (HDPs) are the leading cause of maternal mortality in Latin‐America. Mean arterial pressure (MAP) has been used as an early indicator of HDPs. However, to understand its usefulness in early detection of HDPs, it is important to understand the range of factors associated with MAP in resource poor environments. Objective We explored associations of MAP or elevated MAP (eMAP) with wood smoke exposure, multiple nutrient deficiencies, infections and inflammation in indigenous Panamanian pregnant and lactating women living in extreme poverty. Methods A cross‐sectional study recruited 213 pregnant and 99 lactating indigenous women from the Ngäbe‐Buglé Comarca in rural Panama. Information on systolic and diastolic blood pressure (SBP, DBP), environmental and dietary factors, measures of inflammation (C‐reactive protein and cytokines), nutritional status (serum retinol binding protein ‐ RBP, folic acid, vitamins B 12 , A and D), and several infections (skin, oral, urogenital and intestinal nematodes) was collected. MAP was defined as DBP + 1/3 (SBP‐DBP). eMAP was defined as blood pressure >87 mmHg between 10–18 weeks of gestation, >84 mmHg in weeks 18–34, >86 mmHg after week 34; and ≥95 in lactating women. Bivariate comparisons were followed by adjusted linear and logistic regression models for MAP and eMAP, respectively. Results Prevalence of eMAP was 11.2% in pregnancy and 12.1% in lactation. Bivariate comparisons : In pregnancy, MAP was higher in women with folic acid<10 nmol/L, urinary specific gravity (USG)>1020 and hookworm infection, and lower in women with vaginal diplococcal infection and Ascaris . In lactation, MAP was higher in women with USG>1020, intake of animal source foods ≥7/wk and bacteriuria. Regression models: In pregnancy, wood smoke exposure, RBP<30 mg/L, presence of hookworm and TNF‐α were positively associated with MAP whereas basophil numbers, diplococcal infection score and presence of Ascaris were negatively associated with MAP. RBP<30 mg/L, folate deficiency, Trichuris and higher IL‐6 increased the odds of eMAP. During lactation, vitamins B 12 and A and bacteriuria were positively associated with MAP whereas animal source foods and bacteriuria increased the odds of eMAP. Conclusion Given that we identified both positive and negative associations of infections and nutrient deficiencies with MAP and eMAP during pregnancy and lactation, a strategy that simultaneously reduces all infections and all nutrient deficiencies may not be advisable. Rather, a reduction in eMAP may be achieved by reducing wood smoke exposure, treating intestinal nematodes, addressing folate and protein deficiencies in pregnancy, and by treating bacteriuria during lactation. Support or Funding Information SENACYT (Panama), McGill Vitamin Fund

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)0.001
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 score0.029
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.241
Teacher spread0.229 · 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

Citations1
Published2017
Admission routes2
Has abstractyes

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