Evidence map›Paper›PMID 35805838›Full record

ArticleInternational journal of environmental research and public health2022

Analyzing Successful Aging and Longevity: Risk Factors and Health Promoters in 2020 Older Adults.

Daria A Kashtanova, Anastasiia N Taraskina, Veronika V Erema, Anna A Akopyan, Mikhail V Ivanov, Irina D Strazhesko, Alexandra I Akinshina, Vladimir S Yudin, Valentin V Makarov, Sergey A Kraevoy and 6 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
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  8. Review
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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

16 authors.

Daria A KashtanovaFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks" of the Federal Medical Biological Agency 10 Bld., 1 Pogodinskaya Str., Moscow 119121, Russia.ORCID 0000-0001-8977-4384
Anastasiia N TaraskinaFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks" of the Federal Medical Biological Agency 10 Bld., 1 Pogodinskaya Str., Moscow 119121, Russia.ORCID 0000-0003-1952-9783
Veronika V EremaFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks" of the Federal Medical Biological Agency 10 Bld., 1 Pogodinskaya Str., Moscow 119121, Russia.ORCID 0000-0003-0547-3280
Anna A AkopyanRussian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University of the Ministry of Healthcare of the Russian Federation, Bld. 16, 1st Leonova Street, Moscow 129226, Russia.
Mikhail V IvanovFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks" of the Federal Medical Biological Agency 10 Bld., 1 Pogodinskaya Str., Moscow 119121, Russia.
Irina D StrazheskoRussian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University of the Ministry of Healthcare of the Russian Federation, Bld. 16, 1st Leonova Street, Moscow 129226, Russia.
Alexandra I AkinshinaFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks" of the Federal Medical Biological Agency 10 Bld., 1 Pogodinskaya Str., Moscow 119121, Russia.
Vladimir S YudinFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks" of the Federal Medical Biological Agency 10 Bld., 1 Pogodinskaya Str., Moscow 119121, Russia.
Valentin V MakarovFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks" of the Federal Medical Biological Agency 10 Bld., 1 Pogodinskaya Str., Moscow 119121, Russia.
Sergey A KraevoyFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks" of the Federal Medical Biological Agency 10 Bld., 1 Pogodinskaya Str., Moscow 119121, Russia.
Denis E KorolevRussian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University of the Ministry of Healthcare of the Russian Federation, Bld. 16, 1st Leonova Street, Moscow 129226, Russia.
Irina V TarasovaRussian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University of the Ministry of Healthcare of the Russian Federation, Bld. 16, 1st Leonova Street, Moscow 129226, Russia.
Olga A BeloshevskayaRussian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University of the Ministry of Healthcare of the Russian Federation, Bld. 16, 1st Leonova Street, Moscow 129226, Russia.
Elen A MkhitaryanRussian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University of the Ministry of Healthcare of the Russian Federation, Bld. 16, 1st Leonova Street, Moscow 129226, Russia.
Olga N TkachevaRussian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University of the Ministry of Healthcare of the Russian Federation, Bld. 16, 1st Leonova Street, Moscow 129226, Russia.
Sergey M YudinFederal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks" of the Federal Medical Biological Agency 10 Bld., 1 Pogodinskaya Str., Moscow 119121, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geriatric syndromes (GSs) and aging-associated diseases (AADs) are common side effects of aging. They are affecting the lives of millions of older adults and placing immense pressure on healthcare systems and economies worldwide. It is imperative to study the factors causing these conditions and develop a holistic framework for their management. The so-called long-lived individuals-people over the age of 90 who managed to retain much of their health and functionality-could be holding the key to understanding these factors and their health implications. We analyzed the health status and lifestyle of the long-lived individuals and identified risk factors for GSs. Family history greatly contributes to the health and prevention of cognitive decline in older adults. Lifestyle and certain socioeconomic factors such as education, the age of starting to work and retiring, job type and income level, physical activity, and hobby were also associated with certain GSs. Moreover, the levels of total protein, albumin, alpha-1 globulins, high-density lipoprotein, free triiodothyronine, and 25-hydroxyvitamin D were direct indicators of the current health status. The proposed mathematical model allows the prediction of successful aging based on family history, social and economic factors, and life-long physical activity (f1 score = 0.72, AUC = 0.68, precision = 0.83 and recall = 0.64).

Indexed as

Geriatric AssessmentLongevityAgedAged, 80 and overAgingEducational StatusExerciseHealth PromotionHealth StatusHolistic HealthHumansIncomeLeisure ActivitiesLife StyleOccupationsRisk Factorsagingdementiadependencegeriatric syndromeslongevitylong-lived individualsolder adults

Identifiers

PMID35805838
PMCPMC9266557

What OpenQuestion holds

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LicenceCC BY
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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.