Evidence map›Paper›PMID 27483314›Full record

ArticleNutrients2016

Lean Mass and Body Fat Percentage Are Contradictory Predictors of Bone Mineral Density in Pre-Menopausal Pacific Island Women.

Maria Casale, Pamela R von Hurst, Kathryn L Beck, Sarah Shultz, Marlena C Kruger, Wendy O'Brien, Cathryn A Conlon, Rozanne Kruger

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Muscle mass, not fat mass, predicts vertebral fracture risk: Vietnam osteoporosis study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
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  11. Determinants of Bone Health Status in a Multi-Ethnic Population in Klang Valley, Malaysia.International journal of environmental research and public health · 2020
    Article
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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

8 authors at 1 institution in 1 country.

Maria CasaleInstitute of Food Science and Technology, Massey University, Auckland 0632, New Zealand. nzmaria.78@gmail.com.
Pamela R von HurstInstitute of Food Science and Technology, Massey University, Auckland 0632, New Zealand. p.r.vonhurst@massey.ac.nz.
Kathryn L BeckInstitute of Food Science and Technology, Massey University, Auckland 0632, New Zealand. k.l.beck@massey.ac.nz.
Sarah ShultzSchool of Sport and Exercise, Massey University, Wellington 6140, New Zealand. s.p.shultz@massey.ac.nz.
Marlena C KrugerInstitute of Food Science and Technology, Massey University, Auckland 0632, New Zealand. m.c.kruger@massey.ac.nz.
Wendy O'BrienInstitute of Food Science and Technology, Massey University, Auckland 0632, New Zealand. w.j.obrien@massey.ac.nz.
Cathryn A ConlonInstitute of Food Science and Technology, Massey University, Auckland 0632, New Zealand. C.conlon@massey.ac.nz.
Rozanne KrugerInstitute of Food Science and Technology, Massey University, Auckland 0632, New Zealand. r.kruger@massey.ac.nz.
Massey University · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anecdotally, it is suggested that Pacific Island women have good bone mineral density (BMD) compared to other ethnicities; however, little evidence for this or for associated factors exists. This study aimed to explore associations between predictors of bone mineral density (BMD, g/cm²), in pre-menopausal Pacific Island women. Healthy pre-menopausal Pacific Island women (age 16-45 years) were recruited as part of the larger EXPLORE Study. Total body BMD and body composition were assessed using Dual X-ray Absorptiometry and air-displacement plethysmography (n = 83). A food frequency questionnaire (n = 56) and current bone-specific physical activity questionnaire (n = 59) were completed. Variables expected to be associated with BMD were applied to a hierarchical multiple regression analysis. Due to missing data, physical activity and dietary intake factors were considered only in simple correlations. Mean BMD was 1.1 ± 0.08 g/cm². Bone-free, fat-free lean mass (LMO, 52.4 ± 6.9 kg) and age were positively associated with BMD, and percent body fat (38.4 ± 7.6) was inversely associated with BMD, explaining 37.7% of total variance. Lean mass was the strongest predictor of BMD, while many established contributors to bone health (calcium, physical activity, protein, and vitamin C) were not associated with BMD in this population, partly due to difficulty retrieving dietary data. This highlights the importance of physical activity and protein intake during any weight loss interventions to in order to minimise the loss of muscle mass, whilst maximizing loss of adipose tissue.

Indexed as

AdiposityMuscle DevelopmentAdolescentAdultAge FactorsBody Mass IndexBone DensityCohort StudiesDietExerciseFemaleHumansMiddle AgedNew ZealandOsteoporosisOverweightbody compositionbone mineral densitydietary intakePacific Islandphysical activitypre-menopausal

Identifiers

PMID27483314
PMCPMC4997383
OpenAlexW2506451077

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.