Evidence map›Paper›PMID 31755024›Full record

ArticleAging clinical and experimental research2020

Factors associated with odour identification in older Indonesian and white Australian adults.

Yuda Turana, Darren M Lipnicki, Yvonne S Handajani, Tara P Sani, Josephine R Widayanti, Ika Suswanti, Nicole A Kochan, Henry Brodaty, Perminder S Sachdev, For Cohort Studies of Memory in an International Consortium (COSMIC)

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PubMed Full text at PMC Publisher
In one paragraph

Article in Aging clinical and experimental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
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 at 2 institutions in 2 countries.

Yuda TuranaAtma Jaya Neuroscience and Cognitive Center, Department of Neurology, Faculty of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jl. Pluit Raya No. 2, Jakarta, 14440, Indonesia. yuda.turana@atmajaya.ac.id.ORCID http://orcid.org/0000-0003-4527-0285
Darren M LipnickiCentre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, 2052, Australia. d.lipnicki@unsw.edu.au.
Yvonne S HandajaniCenter of Health Research, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia.
Tara P SaniAtma Jaya Neuroscience and Cognitive Center, Department of Neurology, Faculty of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jl. Pluit Raya No. 2, Jakarta, 14440, Indonesia.
Josephine R WidayantiAtma Jaya Neuroscience and Cognitive Center, Department of Neurology, Faculty of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jl. Pluit Raya No. 2, Jakarta, 14440, Indonesia.
Ika SuswantiAtma Jaya Neuroscience and Cognitive Center, Department of Neurology, Faculty of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jl. Pluit Raya No. 2, Jakarta, 14440, Indonesia.
Nicole A KochanCentre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, 2052, Australia.
Henry BrodatyCentre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, 2052, Australia.
Perminder S SachdevCentre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, 2052, Australia.
For Cohort Studies of Memory in an International Consortium (COSMIC)
Atma Jaya Catholic University of Indonesia · IDUNSW Sydney · AU

Funding

COSMIC: An international consortium to identify risk and protective factors and biomarkers of cognitive ageing and dementia in diverse ethno-racial groups and geographical settingsRF1AG057531 · NIA · UNIVERSITY OF NEW SOUTH WALES · PI SACHDEV, PERMINDER S · 2017 to 2020
$2.9M
National Health and Medical Research Council of Australia Program Grant ID 1093083National Health & Medical Research Council of Australia Program ID 350833NIA NIH HHS RF1 AG057531philanthropic contributions to The Dementia Momentum Fund UNSW Project ID PS38235the National Institute On Aging of the National Institutes of Health RF1AG057531
6 · The paper itself

Abstract

BACKGROUND AND

aimsAmong older adults, olfactory dysfunction is associated with cognitive impairment, lower quality of life, and increased mortality. While age is a risk factor for olfactory dysfunction, other risk factors are less well understood, and may vary between ethno-regional groups. This study investigated how associations between odour identification (OI) and various risk factors, as well as cognition and language ability, differed or were similar in two distinct ethno-regional groups of older adults.

methodsThis cross-sectional study used data from two cohorts: 470 Indonesians (aged 67.4 ± 7.4 years) and 819 white Australians (aged 78.7 ± 4.8 years). Univariate and multivariate analyses explored whether OI test scores were associated with age, sex, education, cholesterol levels, apolipoprotein E ε4 status, smoking, diabetes, hypertension and depression scale scores, or with Mini-Mental State Examination (MMSE) and language test performance.

resultsUnivariate analyses identified some factors associated with OI scores in both Indonesians and white Australians, including older age and smoking with lower scores, and MMSE and language test performance with higher scores. Multivariate analyses yielded different and mutually exclusive patterns of associations in the two ethno-regional groups, with language test scores significantly associated with higher OI scores in Indonesians, and age, being male, smoking, having diabetes and higher depression scale scores significantly associated with lower OI scores in white Australians.

conclusionEthno-regional differences may need consideration in the attempt to fully understand associations between OI and negative outcomes like dementia and mortality, and interventions for olfactory dysfunction might need to be tailored to specific ethno-regional groups. However, the difference in mean age between cohorts is a limitation of this study, and future studies should aim to compare populations with similar age distributions.

Indexed as

CognitionSmellAgedAged, 80 and overAustraliaCross-Sectional StudiesFemaleHumansIndonesiaLanguageMaleMental Status and Dementia TestsMiddle AgedQuality of LifeRisk FactorsWhite PeopleLanguageMMSEOdour identificationOlfactoryRisk factors

Identifiers

PMID31755024
PMCPMC7519881
OpenAlexW2990578364

What OpenQuestion holds

Textmetadata
LicenceTDM
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.