Evidence map›Paper›PMID 26991330›Full record

SynthesisPloS one2016

Longitudinal Intergenerational Birth Cohort Designs: A Systematic Review of Australian and New Zealand Studies.

Michelle L Townsend, Angelique Riepsamen, Christos Georgiou, Victoria M Flood, Peter Caputi, Ian M Wright, Warren S Davis, Alison Jones, Theresa A Larkin, Moira J Williamson and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Stop, think, reflect, realize-first-time mothers' views on taking part in longitudinal maternal health research.Health expectations : an international journal of public participation in health care and health policy · 2019
    Article
  8. Article
  9. Epidemiology of Pediatric Critical Illness in a Population-Based Birth Cohort in Olmsted County, MN.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2017
    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

11 authors.

Michelle L TownsendIllawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia.
Angelique RiepsamenSchool of Women's and Children's Health, Discipline of Obstetrics and Gynaecology, University of New South Wales, Sydney, NSW, Australia.
Christos GeorgiouIllawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia.
Victoria M FloodFaculty of Health Sciences, University of Sydney, Sydney, NSW, Australia.
Peter CaputiIllawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia.
Ian M WrightIllawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia.
Warren S DavisIllawarra Shoalhaven Local Health District, NSW Health, Sydney, NSW, Australia.
Alison JonesIllawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia.
Theresa A LarkinIllawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia.
Moira J WilliamsonSchool of Nursing and Midwifery, Central Queensland University, Rockhampton, Queensland, Australia.
Brin F S GrenyerIllawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe longitudinal birth cohort design has yielded a substantial contribution to knowledge of child health and development. The last full review in New Zealand and Australia in 2004 identified 13 studies. Since then, birth cohort designs continue to be an important tool in understanding how intrauterine, infant and childhood development affect long-term health and well-being. This updated review in a defined geographical area was conducted to better understand the factors associated with successful quality and productivity, and greater scientific and policy contribution and scope.

methodsWe adopted the preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach, searching PubMed, Scopus, Cinahl, Medline, Science Direct and ProQuest between 1963 and 2013. Experts were consulted regarding further studies. Five inclusion criteria were used: (1) have longitudinally tracked a birth cohort, (2) have collected data on the child and at least one parent or caregiver (3) be based in Australia or New Zealand, (4) be empirical in design, and (5) have been published in English.

results10665 records were initially retrieved from which 23 birth cohort studies met the selection criteria. Together these studies recruited 91,196 participants, with 38,600 mothers, 14,206 fathers and 38,390 live births. Seventeen studies were located in Australia and six in New Zealand. Research questions initially focused on the perinatal period, but as studies matured, longer-term effects and outcomes were examined.

conclusionsThis review demonstrates the significant yield from this effort both in terms of scientific discovery and social policy impact. Further opportunities have been recognised with cross-study collaboration and pooling of data between established and newer studies and international studies to investigate global health determinants.

Indexed as

Biomedical ResearchParturitionRegistriesAustraliaFemaleFollow-Up StudiesHumansInfant, NewbornMaleMulticenter Studies as TopicNew Zealand

Identifiers

PMID26991330
PMCPMC4798594

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.