Evidence map›Paper›PMID 30871389›Full record

ArticleJournal of the American Heart Association2019

Breastfeeding and Cardiovascular Disease Hospitalization and Mortality in Parous Women: Evidence From a Large Australian Cohort Study.

Binh Nguyen, Joanne Gale, Natasha Nassar, Adrian Bauman, Grace Joshy, Ding Ding

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 pooled it
4.6field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Article
  9. Sustained Reduction of Subclinical Inflammation in the Years After Breastfeeding.The Journal of clinical endocrinology and metabolism · 2025
    Article
  10. Breastfeeding and Maternal and Child Cardiometabolic Outcomes 10-14 Years after Delivery.Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine · 2025
    Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Observational
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Binh Nguyen1 Prevention Research Collaboration Sydney School of Public Health The University of Sydney Camperdown New South Wales Australia.
Joanne Gale1 Prevention Research Collaboration Sydney School of Public Health The University of Sydney Camperdown New South Wales Australia.
Natasha Nassar2 Menzies Centre for Health Policy Sydney School of Public Health The University of Sydney Camperdown New South Wales Australia.
Adrian Bauman1 Prevention Research Collaboration Sydney School of Public Health The University of Sydney Camperdown New South Wales Australia.
Grace Joshy4 National Centre for Epidemiology and Population Health Research School of Population Health Australian National University Canberra Australian Capital Territory Australia.
Ding Ding1 Prevention Research Collaboration Sydney School of Public Health The University of Sydney Camperdown New South Wales Australia.
University of Sydney · AUAustralian National University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Few studies have investigated the longitudinal association between breastfeeding and maternal cardiovascular disease ( CVD ) outcomes. This study examined the association between breastfeeding and CVD hospitalization and mortality in a large Australian cohort. Methods and Results Baseline questionnaire data (2006-2009) from a sample of 100 864 parous women aged ≥45 years from New South Wales, Australia, were linked to hospitalization and death data until June 2014 and December 2013, respectively. Analysis was restricted to women without self-reported medically diagnosed CVD at baseline or without past CVD hospitalization 6 years before study entry. Never versus ever breastfeeding and average breastfeeding duration per child, derived from self-reported lifetime breastfeeding duration and number of children, and categorized as never breastfed, <6, >6 to 12, or >12 months/child, were assessed. Cox proportional hazards models were used to explore the association between breastfeeding and CVD outcomes. Covariates included sociodemographic characteristics, lifestyle risk factors, and medical and reproductive history. There were 3428 (3.4%) first CVD -related hospital admissions and 418 (0.4%) deaths during a mean follow-up time of 6.1 years for CVD hospitalization and 5.7 years for CVD mortality. Ever breastfeeding was associated with lower risk of CVD hospitalization (adjusted hazard ratio [95% CI]: 0.86 [0.78, 0.96]; P=0.005) and CVD mortality (adjusted hazard ratio [95% CI]: 0.66 [0.49, 0.89]; P=0.006) compared with never breastfeeding. Breastfeeding ≤12 months/child was significantly associated with lower risk of CVD hospitalization. Conclusions Breastfeeding is associated with lower maternal risk of CVD hospitalization and mortality in middle-aged and older Australian women. Breastfeeding may offer long-term maternal cardiovascular health benefits.

Indexed as

AgedBreast FeedingCardiovascular DiseasesFemaleFollow-Up StudiesHospitalizationHumansMiddle AgedNew South WalesPrognosisProspective StudiesRisk AssessmentRisk FactorsSurveys and Questionnairesbreastfeedingcardiovascular diseaseslactationmaternal healthprospective studies

Identifiers

PMID30871389
PMCPMC6475066
OpenAlexW2922203778

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.