Evidence map›Paper›PMID 27515754›Full record

ArticleBMJ open2016

Does pre-pregnancy BMI determine blood pressure during pregnancy? A prospective cohort study.

Ary I Savitri, Peter Zuithoff, Joyce L Browne, Dwirani Amelia, Mohammad Baharuddin, Diederick E Grobbee, Cuno S P M Uiterwaal

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Effects of maternal education on maternal and perinatal outcomes: An individual participant data meta-analysis of 2 356 402 pregnancies.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Pooled it
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  6. Pathophysiology of Maternal Obesity and Hypertension in Pregnancy.Journal of cardiovascular development and disease · 2025
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  18. High prevalence of obstructive sleep apnea in pregnant women with class III obesity: a prospective cohort study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Ary I SavitriJulius Center for Health Sciences and Primary Care, Julius Global Health, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-7039-3351
Peter ZuithoffJulius Center for Health Sciences and Primary Care, Julius Global Health, University Medical Center Utrecht, Utrecht, The Netherlands.
Joyce L BrowneJulius Center for Health Sciences and Primary Care, Julius Global Health, University Medical Center Utrecht, Utrecht, The Netherlands.
Dwirani AmeliaBudi Kemuliaan Hospital, Jakarta, Indonesia.
Mohammad BaharuddinBudi Kemuliaan Hospital, Jakarta, Indonesia.
Diederick E GrobbeeJulius Center for Health Sciences and Primary Care, Julius Global Health, University Medical Center Utrecht, Utrecht, The Netherlands.
Cuno S P M UiterwaalJulius Center for Health Sciences and Primary Care, Julius Global Health, University Medical Center Utrecht, Utrecht, The Netherlands.
University Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate if pre-pregnancy body mass index (BMI) determines blood pressure throughout pregnancy and to explore the role of gestational weight gain in this association. In addition, the effects of pre-pregnancy BMI and gestational weight gain on the occurrence of gestational hypertension and pre-eclampsia were investigated.

designProspective cohort study.

settingMaternal and child health primary care referral centre, Jakarta, Indonesia. POPULATION AND MEASUREMENTS: 2252 pregnant women visiting Budi Kemuliaan Hospital and its branch for regular antenatal care visits from July 2012 to April 2015. Pre-pregnancy BMI (kg/m(2)) was based on self-reported pre-pregnancy weight and measured height at first visit. Gestational weight gain was calculated as weight at the day of delivery minus the pre-pregnancy weight. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured during pregnancy at every visit. Linear mixed models were used to analyse this relation with repeated blood pressure measures as the outcome and pre-pregnancy BMI as the predictor. When looking at gestational hypertension and pre-eclampsia as outcomes, (multiple) logistic regression was used in the analysis.

resultsIndependent of pre-pregnancy BMI, SBP and DBP increased by 0.99 mm Hg/month and 0.46 mm Hg/month, respectively. Higher pre-pregnancy BMI was associated with higher pregnancy SBP (0.25 mm Hg/kg/m(2); 95% CI 0.17 to 0.34; p<0.01) and DBP (0.18 mm Hg/kg/m(2); 0.13 to 0.24; p<0.01) in adjusted analysis. Every 1 kg/m(2) higher pre-pregnancy BMI was associated with 6% and 9% higher odds for gestational hypertension (adjusted OR (aOR) 1.06; 95% CI 1.03 to 1.09; p<0.01) and pre-eclampsia (aOR 1.09; 1.04 to 1.14; p<0.01). Accounting for gestational weight gain did not attenuate these associations.

conclusionsPre-pregnancy BMI determines the level, but not the change, of blood pressure in pregnancy and is linked to higher odds for gestational hypertension and pre-eclampsia, independent of gestational weight gain.

Indexed as

Blood PressureBody Mass IndexPregnancy ComplicationsAdultFemaleHumansHypertension, Pregnancy-InducedIndonesiaObesityOdds RatioPre-EclampsiaPregnancyProspective StudiesRisk FactorsWeight GainYoung Adultblood pressurepregnancyPrepregnancy BMIweight gain

Identifiers

PMID27515754
PMCPMC4985806
OpenAlexW2518286513

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.