Evidence map›Paper›PMID 28608321›Full record

ArticleEuropean journal of nutrition2018

A comparison of principal component analysis, partial least-squares and reduced-rank regressions in the identification of dietary patterns associated with bone mass in ageing Australians.

Yohannes Adama Melaku, Tiffany K Gill, Anne W Taylor, Robert Adams, Zumin Shi

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in European journal of nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

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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

5 authors.

Yohannes Adama MelakuPopulation Research and Outcome Studies, Adelaide Medical School, The University of Adelaide, SAHMRI, Adelaide, SA, 5005, Australia. yohannes.melaku@adelaide.edu.au.ORCID http://orcid.org/0000-0002-3051-7313
Tiffany K GillPopulation Research and Outcome Studies, Adelaide Medical School, The University of Adelaide, SAHMRI, Adelaide, SA, 5005, Australia.
Anne W TaylorPopulation Research and Outcome Studies, Adelaide Medical School, The University of Adelaide, SAHMRI, Adelaide, SA, 5005, Australia.
Robert AdamsHealth Observatory, Discipline of Medicine, The Queen Elizabeth Hospital Campus, The University of Adelaide, Adelaide, SA, 5011, Australia.
Zumin ShiPopulation Research and Outcome Studies, Adelaide Medical School, The University of Adelaide, SAHMRI, Adelaide, SA, 5005, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe relative advantages of dietary analysis methods, particularly in identifying dietary patterns associated with bone mass, have not been investigated. We evaluated principal component analysis (PCA), partial least-squares (PLS) and reduced-rank regressions (RRR) in determining dietary patterns associated with bone mass.

methodsData from 1182 study participants (45.9% males; aged 50 years and above) from the North West Adelaide Health Study (NWAHS) were used. Dietary data were collected using a food frequency questionnaire (FFQ). Dietary patterns were constructed using PCA, PLS and RRR and compared based on the performance to identify plausible patterns associated with bone mineral density (BMD) and content (BMC).

resultsPCA, PLS and RRR identified two, four and four dietary patterns, respectively. All methods identified similar patterns for the first two factors (factor 1, "prudent" and factor 2, "western" patterns). Three, one and none of the patterns derived by RRR, PLS and PCA were significantly associated with bone mass, respectively. The "prudent" and dairy (factor 3) patterns determined by RRR were positively and significantly associated with BMD and BMC. Vegetables and fruit pattern (factor 4) of PLS and RRR was negatively and significantly associated with BMD and BMC, respectively.

conclusionsRRR was found to be more appropriate in identifying more (plausible) dietary patterns that are associated with bone mass than PCA and PLS. Nevertheless, the advantage of RRR over the other two methods (PCA and PLS) should be confirmed in future studies.

Indexed as

Principal Component AnalysisRegression AnalysisAgedAgingAustraliaBone DensityCohort StudiesDietFeeding BehaviorFemaleHumansMaleMiddle AgedAgeing populationBone massDietary analysis methodsPartial least-squares regressionPrincipal component analysisReduced-rank regression

Identifiers

PMID28608321

What OpenQuestion holds

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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.