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Effect of Community-Based Group Prenatal Physical Activity on Pre-eclampsia Rate

2008· article· en· W2085330144 on OpenAlexaff
Robyn M. Brancato, Ann F. Cowlin, Gil Mor, Peggy DeZinno, Daniel Zelterman

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2008
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsPregnancyMedicineEpidemiologyInflammationPremature birthObstetricsPreterm labourGestational ageImmunologyInternal medicineGestation

Abstract

fetched live from OpenAlex

Disorders of pregnancy that are associated with inflammation are major contributors to poor pregnancy outcomes, prematurity and birth defects. Pre-eclampsia (PE) is one such disorder characterized by maternal inflammation and resulting in dysfunctions in immune, cardiovascular and metabolic systems. It is cured only by birth of the baby - usually preterm - and composes 15% of preterm births in the U.S.; rates are higher in the developing world. In non-pregnant people, inflammation is treated with and prevented by pharmaceuticals and lifestyle methods like physical activity (PA). Most medications are contraindicated in pregnancy, but PA during pregnancy has been found safe, healthy and beneficial for mom and baby. Evidence shows that PA can enhance pregnancy outcome, and decrease excessive inflammation and risk of PE. Previous epidemiological studies indicate that PA may be useful in preventing PE. However, these studies have quantified PA based on recall of postpartum women and have not controlled for differences in their interpretations of amount, type or intensity of PA. But, controlling these variables in the research by using a laboratory-based PA intervention inflicts great difficulty. Translating the laboratory-based PA into a community-based program is problematic. Previous epidemiological studies indicate that PA may be useful in preventing PE. However, these studies have quantified PA based on recall of postpartum women and have not controlled for differences in their interpretations of amount, type or intensity of PA. But, controlling these variables in the research by using a laboratory-based PA intervention inflicts great difficulty. Translating the laboratory-based PA into a community-based program is problematic. PURPOSE: To determine the effect of standardized, community-based group PA on preventing PE. Method: A retrospective study was performed to determine the rates of PE among the 9,160 women who gave birth at Yale-New Haven Hospital (YNHH) during 2004-2005, and a 90 person subset of this group who performed prenatal PA in a standardized, community-based PA program for pregnant women. The PA program controls type and intensity of PA performed and has been offered in the community for 30 years. RESULTS: Total PE rate in 2004-2005 at YNHH was 7.8%. For the PA group, PE rate was 2.2%. Two women in the PA group were diagnosed with PE in the last month of pregnancy and delivered normal infants at term. No PE was seen in the PA group during the 2nd or early 3rd trimesters nor was there any prematurity in this group. CONCLUSION: Findings support the hypothesis that adequate physical activity in a standardized community-based group setting may be a non-pharmacological way to prevent PE.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.327
Teacher spread0.305 · 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".

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Citations0
Published2008
Admission routes1
Has abstractyes

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