Evidence map›Paper›PMID 38824528›Full record

ArticleBMC geriatrics2024

Predicting successful ageing among older adults seems possible even as far as two decades ahead.

Anna Viljanen, Marika Salminen, Kerttu Irjala, Minna Löppönen, Hannele Tuori, Tero Vahlberg, Matti Viitanen, Laura Viikari

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

8 authors.

Anna ViljanenThe Wellbeing Services County of Southwest Finland, Turku University Hospital, Domain of General Practice and Rehabilitation, Turku, Finland. amvilj@utu.fi.ORCID http://orcid.org/0000-0002-0946-9249
Marika SalminenThe Wellbeing Services County of Southwest Finland, Medical Domain, Geriatric Medicine, Turku University Hospital, Turku, Finland.
Kerttu IrjalaFaculty of Medicine, Department of Clinical Medicine, Unit of Clinical Chemistry, University of Turku and Turku University Hospital, Turku, 20521, Finland.
Minna LöppönenThe Wellbeing Services County of Southwest Finland, Turku University Hospital, Domain of General Practice and Rehabilitation, Turku, Finland.
Hannele TuoriThe Wellbeing Services County of Southwest Finland, Turku University Hospital, Domain of General Practice and Rehabilitation, Turku, Finland.
Tero VahlbergFaculty of Medicine, Department of Clinical Medicine, Unit of Biostatistics, University of Turku and Turku University Hospital, Turku, Finland.
Matti ViitanenFaculty of Medicine, Department of Clinical Medicine, Unit of Geriatric Medicine, University of Turku and Turku University Hospital, FI-20014, Turku, 20700, Finland.
Laura ViikariFaculty of Medicine, Department of Clinical Medicine, Unit of Geriatric Medicine, University of Turku and Turku University Hospital, FI-20014, Turku, 20700, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuccessful ageing is the term often used for depicting exceptional ageing and can be measured with multidimensional models including physical, psychological and social wellbeing. The aim of this study was to test multidimensional successful ageing models to investigate whether these models can predict successful ageing, and which individual subcomponents included in the models are most significantly associated with successful ageing.

methodsSuccessful ageing was defined as the ability to live at home without daily care at the age of 84 years or over. Data on the participants' physical, psychological and social wellbeing were gathered at baseline and the follow-up period was 20 years. Four successful ageing models were constructed. Backward stepwise logistic regression analysis was used to identify the individual subcomponents of the models which best predicted successful ageing.

resultsAll successful ageing models were able to predict ageing successfully after the 20-year follow-up period. After the backward stepwise logistic regression analysis, three individual subcomponents of four models remained statistically significant and were included in the new model: having no heart disease, having good self-rated health and feeling useful. As a model, using only these three subcomponents, the association with successful ageing was similar to using the full models.

conclusionsMultidimensional successful ageing models were able to predict successful ageing after a 20-year follow-up period. However, according to the backward stepwise logistic regression analysis, the three subcomponents (absence of heart disease, good self-rated health and feeling useful) significantly associated with successful ageing performed as well as the multidimensional successful ageing models in predicting ageing successfully.

Indexed as

AgingAgedAged, 80 and overFemaleFollow-Up StudiesForecastingGeriatric AssessmentHealth StatusHealthy AgingHumansMaleTime FactorsFeeling usefulSelf-rated healthSuccessful ageing

Identifiers

PMID38824528
PMCPMC11143575

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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.