Evidence map›Paper›PMID 42085707›Full record

ArticleInternal medicine journal2026

Estimating the healthcare costs of overweight and obesity amongst Australian children.

Winnie Chen, Anagha Killedar, Mohammad Nure Alam, Kirsten Howard, Louise A Baur, Alison Hayes

Abstract read
In one paragraph

Article in Internal medicine journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Winnie ChenLeeder Centre for Health Policy, Economics and Data, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-3473-3080
Anagha KilledarLeeder Centre for Health Policy, Economics and Data, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0003-2363-8827
Mohammad Nure AlamSydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
Kirsten HowardLeeder Centre for Health Policy, Economics and Data, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
Louise A BaurSydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-4521-9482
Alison HayesSydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.

Funding

National Health and Medical Research Council GNT2006999National Health and Medical Research Council GNT2009035National Health and Medical Research Council GNT2011342National Health and Medical Research Council GNT2034414
6 · The paper itself

Abstract

This study aimed to describe healthcare utilisation and costs associated with excess weight amongst Australian children (mean age 11 years). We analysed self-reported data from the Child Health CheckPoint study. From a healthcare provider perspective, children with overweight and obesity incurred annual excess costs of AUD +$140 and +$379 (+$117 and $328 adjusted) respectively compared to those in the healthy weight category. These findings suggest obesity is a significant driver of healthcare costs in children and support the economic argument for reducing childhood obesity.

Indexed as

Health Care CostsOverweightPediatric ObesityAdolescentAustraliaChildFemaleHumansMaleAustraliachildhood obesityhealthcare costshealth economicspaediatric obesity

Identifiers

PMID42085707
PMCPMC13288316

What OpenQuestion holds

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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.