Evidence map›Paper›PMID 26759745›Full record

ArticleSpringerPlus2016

The association between perception of health during pregnancy and the risk of cardiovascular disease: a prospective study.

Hanis Hanum Zulkifly, Alexandra Clavarino, Yaman Walid Kassab, Kaeleen Dingle

Abstract read
In one paragraph

Article in SpringerPlus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Hanis Hanum ZulkiflyDepartment of Pharmacy Practice, Faculty of Pharmacy, Universiti Teknologi MARA (UiTM), Kampus Puncak Alam, Puancak Alam Campus, 42300 Bandar Puncak Alam, Selangor Malaysia.
Alexandra ClavarinoPharmacy Australia Centre of Excellence, University of Queensland, Woolloongabba, Brisbane, QLD 4102 Australia.
Yaman Walid KassabDepartment of Hospital and Clinical Pharmacy, No. 3410, Jalan Teknokrat 3, Cyber 4, 63000 Cyberjaya, Selangor Darul Ehsan Malaysia.
Kaeleen DingleSchool of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove Campus, Brisbane, QLD 4059 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is some evidence that self-rated perceptions of health are predictive of objective health outcomes, including cardiovascular disease, and mortality. The objective of this study was to examine the prospective association between perceptions of health during pregnancy and cardiovascular risk factors of mothers 21 years after the pregnancy. Data used were from the Mater University Study of Pregnancy (MUSP), a community-based prospective birth cohort study begun in Brisbane, Australia, in 1981. Logistic regression analyses were conducted. Data were available for 3692 women. Women who perceived themselves as not having a straight forward pregnancy had twice the odds (adjusted OR 2.0, 95 % CI 1.1-3.8) of being diagnosed with heart disease 21 years after the pregnancy when compared with women with a straight forward pregnancy (event rate of 5.2 versus 2.6 %). Women who experienced complications (other than serious pregnancy complications) during their pregnancy were also at 30 % increased odds (adjusted OR 1.3, 95 % CI 1.0-1.6) of having hypertension 21 years later (event rate of 25.7 versus 20 %). As a whole, our study suggests that pregnant women who perceived that they had complications and did not have a straight forward pregnancy were likely to experience poorer cardiovascular outcomes 21 years after that pregnancy.

Indexed as

Cardiovascular diseaseHealthLongitudinal studyPregnancySelf-perception

Identifiers

PMID26759745
PMCPMC4700040

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.