Evidence map›Paper›PMID 29891862›Full record

ArticleScientific reports2018

Association between oral health and general health indicators in older adults.

Trung Dung Tran, Stefanie Krausch-Hofmann, Joke Duyck, Johanna de Almeida Mello, Jan De Lepeleire, Dominique Declerck, Anja Declercq, Emmanuel Lesaffre

Abstract read
In one paragraph

Article in Scientific reports, 2018. 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
–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

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

  1. Pooled it
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  9. Association between frequency of laughter and oral health among community-dwelling older adults: a population-based cross-sectional study in Japan.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
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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.

Trung Dung TranKU Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat) - Department of Public Health and Primary Care, Leuven, Belgium. trungdung.tran@kuleuven.be.ORCID 0000-0001-9967-1012
Stefanie Krausch-HofmannKU Leuven Population Studies in Oral Health - Department of Oral Health Sciences, Leuven, Belgium.
Joke DuyckKU Leuven Population Studies in Oral Health - Department of Oral Health Sciences, Leuven, Belgium.
Johanna de Almeida MelloKU Leuven LUCAS - Centre for Care Research and Consultancy, Leuven, Belgium.
Jan De LepeleireKU Leuven Academic Centre for General Practice - Department of Public Health and Primary Care, Leuven, Belgium.
Dominique DeclerckKU Leuven Population Studies in Oral Health - Department of Oral Health Sciences, Leuven, Belgium.
Anja DeclercqKU Leuven LUCAS - Centre for Care Research and Consultancy, Leuven, Belgium.ORCID 0000-0003-3136-124X
Emmanuel LesaffreKU Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat) - Department of Public Health and Primary Care, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral health (OH) and general health (GH) indicators are representations of the health status of the body. The OH indicators provide information about the oral health status while the GH indicators are used to assess the functional, cognitive, and mental conditions. OH is reported to be associated with GH. However, some specific associations, especially longitudinal relationships between OH and GH indicators, have not been fully explored. We examined the prediction ability from OH to GH and vice versa using a Belgian registry. We collected information from 8359 elderly participants, who were older than 65, lived at home, and received home care. The demographic and clinical information including three binary OH indicators and four ordinal GH indicators were collected. The participants were recorded at baseline and every six months afterwards. We opted for a generalization of a vector autoregressive model to ordinal responses. This model allows to estimate autocorrelations and cross-lagged correlations, addressing the prediction of GH from OH in a cross-sectional and longitudinal manner. We showed that individuals who had poorer OH had a higher risk of suffering from poor GH status. The percentages of correct or close prediction for GH indicators from OH indicators are high, being around 80% for all GH indicators. Additionally, having a poor OH (resp. GH) status was additionally predictive of a poor GH (resp. OH) status at following assessments. Our finding suggests using historical records of OH as well as GH indicators to draw better health care plan for geriatrics population.

Indexed as

Health StatusOral HealthAgedAged, 80 and overBelgiumCorrelation of DataFemaleHumansLongitudinal StudiesMale

Identifiers

PMID29891862
PMCPMC5996062

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.