Evidence map›Paper›PMID 42168291›Full record

ArticleScientific reports2026

Associations between body mass index and body composition among Pacific adolescents in Aotearoa New Zealand.

Yajun Dai, Anna S Howe, Leon Iusitini, El-Shadan Tautolo, Sarah Whitcombe-Dobbs, Jalal Mohammed, Philip J Schlüter

Abstract read
In one paragraph

Article in Scientific reports, 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

7 authors.

Yajun DaiTe Kaupeka Oranga Faculty of Health, Te Whare Wananga o Waitaha University of Canterbury, Private Bag 4800, Ōtautahi Christchurch, 8140, New Zealand.ORCID http://orcid.org/0009-0004-1127-0206
Anna S HoweTe Kaupeka Oranga Faculty of Health, Te Whare Wananga o Waitaha University of Canterbury, Private Bag 4800, Ōtautahi Christchurch, 8140, New Zealand.ORCID http://orcid.org/0000-0002-7301-6578
Leon IusitiniNew Zealand Policy Research Institute, Faculty of Business, Economics and Law, Auckland University of Technology, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-0635-7900
El-Shadan TautoloAUT Pacific Health Research Centre, School of Community and Public Health, Auckland University of Technology, Auckland, New Zealand.ORCID http://orcid.org/0000-0001-8444-6410
Sarah Whitcombe-DobbsTe Kaupeka Oranga Faculty of Health, Te Whare Wananga o Waitaha University of Canterbury, Private Bag 4800, Ōtautahi Christchurch, 8140, New Zealand.ORCID http://orcid.org/0000-0002-2238-5859
Jalal MohammedTe Kaupeka Oranga Faculty of Health, Te Whare Wananga o Waitaha University of Canterbury, Private Bag 4800, Ōtautahi Christchurch, 8140, New Zealand.ORCID http://orcid.org/0000-0002-7665-7266
Philip J SchlüterTe Kaupeka Oranga Faculty of Health, Te Whare Wananga o Waitaha University of Canterbury, Private Bag 4800, Ōtautahi Christchurch, 8140, New Zealand. philip.schluter@canterbury.ac.nz.ORCID http://orcid.org/0000-0001-6799-6779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BMI and BMI z-scores are widely used to classify adolescent overweight and obesity (OWOB), but they do not distinguish fat from fat-free mass and may misclassify adiposity. This study aimed to examine how BMI and BMI z-scores relate to body composition among Pacific adolescents in Aotearoa New Zealand (A-NZ). Cross-sectional data from an A-NZ Pacific birth cohort were analysed, assessing body size, body composition, and demographics in 871 adolescents (median age 14.2 years). Body composition was estimated using conventional and vector bioelectrical impedance analysis. Sex-stratified analytical comparisons included fractional polynomial regression of BMI z-scores with fat mass index (FMI) and fat-free mass index (FFMI), Hattori plots, and vector analysis parameters. From BMI z-scores, OWOB was defined in 337 (80.3%) females and 342 (75.8%) males. BMI z-scores fitted FFMI well, but important nonlinear patterns emerged between BMI z-scores and FMI. At any given BMI, Pacific adolescents displayed wide variation in FMI and FFMI combinations, with greater variability among males than females. Mean vector length shortened progressively with increasing body size. Phase angle increased from normal weight to overweight but plateaued from overweight to obesity. BMI-defined OWOB inadequately captured adiposity in this population.

Indexed as

Body CompositionBody Mass IndexAdiposityAdolescentCross-Sectional StudiesElectric ImpedanceFemaleHumansMaleNew ZealandObesityOverweightAdolescent healthBody compositionBody mass indexEpidemiologyOverweight and obesityPacific population

Identifiers

PMID42168291
PMCPMC13319262

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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.