Evidence map›Paper›PMID 38307955›Full record

ArticleInternational journal of obesity (2005)2024

Differences in weight status among Australian children and adolescents from priority populations: a longitudinal study.

Thomas Lung, Anagha Killedar, Sarah Taki, Li Ming Wen, Michelle Dickson, Kirsten Howard, Louise Baur, Patrick Kelly, Simone Sherriff, Alison Hayes

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Inequity in quality of life among culturally and linguistically diverse children in Australia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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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

10 authors.

Thomas LungSydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia. tom.lung@sydney.edu.au.ORCID 0000-0001-9978-6311
Anagha KilledarMenzies Centre for Health Policy and Economics, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0003-2363-8827
Sarah TakiSydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Li Ming WenSydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Michelle DicksonSydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Kirsten HowardMenzies Centre for Health Policy and Economics, University of Sydney, Sydney, NSW, Australia.
Louise BaurSydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-4521-9482
Patrick KellySydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Simone SherriffSydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Alison HayesSydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-8679-6040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and significanceAustralia has a high level of cultural and linguistic diversity, including Aboriginal and Torres Strait Islander peoples. Children from specific cultural and ethnic groups may be at greater risk of overweight and obesity and may bear the additional risk of socioeconomic disadvantage. Our aim was to identify differences in body-mass index z-score (zBMI) by: (1) Cultural and ethnic groups and; (2) Socioeconomic position (SEP), during childhood and adolescence. SUBJECTS/

methodsWe used data from the Longitudinal Study of Australian children (n = 9417) aged 2-19 years with 50870 longitudinal measurements of zBMI. Children were classified into 9 cultural and ethnic groups, based on parent and child's country of birth and language spoken at home. These were: (1) English-speaking countries; (2) Middle East & North Africa; (3) East & South-East Asia; (4) South & Central Asia; (5) Europe; (6) Sub-Saharan Africa; (7) Americas; (8) Oceania. A further group (9) was defined as Aboriginal and Torres Strait Islander from self-reported demographic information. Longitudinal cohort analyses in which exposures were cultural and ethnic group and family socioeconomic position, and the outcome was zBMI estimated using multilevel mixed linear regression models. We stratified our analyses over three periods of child development: early childhood (2-5 years); middle childhood (6-11 years); and adolescence (12-19 years).

resultsAcross all three periods of child development, children from the Middle East and North Africa, the Americas and Oceania were associated with higher zBMI and children from the two Asian groups were associated with lower zBMI, when compared to the referent group (English). zBMI was socioeconomically patterned, with increasingly higher zBMI associated with more socioeconomic disadvantage.

conclusionsOur findings identified key population groups at higher risk of overweight and obesity in childhood and adolescence. Prevention efforts should prioritize these groups to avoid exacerbating inequalities in healthy weight in childhood.

Indexed as

Body Mass IndexPediatric ObesitySocioeconomic FactorsAdolescentAustraliaAustralian Aboriginal and Torres Strait Islander PeoplesChildChild, PreschoolFemaleHumansLongitudinal StudiesMaleYoung Adult

Identifiers

PMID38307955
PMCPMC11058044

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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.