Evidence map›Paper›PMID 36696404›Full record

ArticleBirth (Berkeley, Calif.)2023

Time trends, projections, and spatial distribution of low birthweight in Australia, 2009-2030: Evidence from the National Perinatal Data Collection.

M Mamun Huda, Leonie K Callaway, Greg Jackson, Yaqoot Fatima, Janet Cumming, Tuhin Biswas, Gonzalo R Paz, Fran Boyle, Peter D Sly, Abdullah Al Mamun

Abstract read
In one paragraph

Article in Birth (Berkeley, Calif.), 2023. 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

10 authors.

M Mamun HudaPoche Centre for Indigenous Health, The University of Queensland, Queensland, Brisbane, Australia.ORCID 0000-0003-1069-3472
Leonie K CallawayWomen's and Newborn Services, Royal Brisbane and Women's Hospital, Queensland, Brisbane, Australia.
Greg JacksonHealth Protection Branch, Queensland Department of Health, Queensland, Brisbane, Australia.ORCID 0000-0001-6748-8301
Yaqoot FatimaPoche Centre for Indigenous Health, The University of Queensland, Queensland, Brisbane, Australia.
Janet CummingHealth Protection Branch, Queensland Department of Health, Queensland, Brisbane, Australia.
Tuhin BiswasPoche Centre for Indigenous Health, The University of Queensland, Queensland, Brisbane, Australia.
Gonzalo R PazPoche Centre for Indigenous Health, The University of Queensland, Queensland, Brisbane, Australia.
Fran BoylePoche Centre for Indigenous Health, The University of Queensland, Queensland, Brisbane, Australia.
Peter D SlyChildren's Health Research Centre, University of Queensland, South Brisbane, Australia.
Abdullah Al MamunPoche Centre for Indigenous Health, The University of Queensland, Queensland, Brisbane, Australia.

Funding

National Health and Medical Research Council
6 · The paper itself

Abstract

introductionInfants with low birthweight (LBW, birthweight <2500 g) have increased in many high-resource countries over the past two decades. This study aimed to investigate the time trends, projections, and spatial distribution of LBW in Australia, 2009-2030.

methodsWe used standard aggregate data on 3 346 808 births from 2009 to 2019 from Australia's National Perinatal Data Collection. Bayesian linear regression model was used to estimate the trends in the prevalence of LBW in Australia.

resultsWefound that the prevalence of LBW was 6.18% in 2009, which has increased to 6.64% in 2019 (average annual rate of change, AARC = +0.76%). If the national trend remains the same, the projected prevalence of LBW in Australia will increase to 7.34% (95% uncertainty interval, UI = 6.99, 7.68) in 2030. Observing AARC across different subpopulations, the trend of LBW was stable among Indigenous mothers, whereas it increased among non-Indigenous mothers (AARC = +0.81%). There is also an increase among the most disadvantaged mothers (AARC = +1.08%), birthing people in either of two extreme age groups (AARC = +1.99% and +1.53% for <20 years and ≥40 years, respectively), and mothers who smoked during pregnancy (AARC = +1.52%). Spatiotemporal maps showed that some of the Statistical Area level 3 (SA3) in Northern Territory and Queensland had consistently higher prevalence for LBW than the national average from 2014 to 2019.

conclusionOverall, the prevalence of LBW has increased in Australia during 2009-2019; however, the trends vary across different subpopulations. If trends persist, Australia will not achieve the Sustainable Development Goals (SDGs) target of a 30% reduction in LBW by 2030. Centering and supporting the most vulnerable subpopulations is vital to progress the SDGs and improves perinatal and infant health in Australia.

Indexed as

Infant, Low Birth WeightParturitionAdultBayes TheoremBirth WeightFemaleHumansInfantInfant, NewbornNorthern TerritoryPregnancyYoung AdultAustralialow birthweightmothersocial and behavioral factorstime trends

Identifiers

PMID36696404
PMCPMC10947513

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.