Evidence map›Paper›PMID 34383709›Full record

ArticleAging2021

Health trajectories after age 60: the role of individual behaviors and the social context.

Amaia Calderón-Larrañaga, Xiaonan Hu, Miriam Haaksma, Debora Rizzuto, Laura Fratiglioni, Davide L Vetrano

Abstract read
In one paragraph

Article in Aging, 2021. 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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  9. Changes in Physical Performance among Community-Dwelling Older Adults in Six Years.International journal of environmental research and public health · 2023
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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

6 authors.

Amaia Calderón-LarrañagaAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden.
Xiaonan HuAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden.
Miriam HaaksmaDepartment of Public Health and Primary Care, Leiden University Medical Center, The Netherlands.
Debora RizzutoAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden.
Laura FratiglioniAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden.
Davide L VetranoAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to detect health trajectories after age 60, and to explore to what extent individual and social factors may contribute to healthier aging.

methodsTwelve-year health trajectories were identified in subjects from the Swedish National Study on Aging and Care in Kungsholmen (N=3108), integrating five indicators of disease, physical and cognitive function, and disability through nominal response models. Growth mixture models were applied to explore health trajectories in terms of rate and pattern of change. Baseline information about health-related behaviors and the social context was collected through standardized questionnaires. The strength of the associations was estimated using logistic regression, and their impact through population attributable fractions (PAF).

resultsThree trajectories were identified grouping 78%, 18%, and 4% of people with respectively increasing rates of health decline. Compared to the best trajectory, subjects in the middle and worst trajectories became functionally dependent 12.0 (95% CI: 11.4-12.6) and 12.1 (95% CI: 11.5-12.7) years earlier, respectively. Insufficient physical activity (OR: 3.38, 95% CI: 2.58-4.42), financial strain (OR: 2.76, 95% CI: 1.77-4.30), <12 years education (OR: 1.53, 95% CI: 1.14-2.04), low social connections (OR: 1.45, 95% CI: 1.09-1.94), low social participation (OR: 1.39, 95% CI: 1.06-1.83) and a body mass index ≥25 (OR: 1.34, 95% CI: 1.03-1.75) were associated with belonging to the middle/worst trajectories. The highest PAFs were observed for insufficient physical activity (27.1%), low education (19.3%) and low social participation (15.9%); a total PAF of 66.1% was obtained.

conclusionsAddressing the social determinants of health in its broadest sense, complementarily considering life-long factors belonging to the socioeconomic, psychosocial, and behavioral dimensions, should be central to any strategy aimed at fostering health in older age.

Indexed as

AgingCognitionExerciseSocial Determinants of HealthSocial EnvironmentAgedAged, 80 and overFemaleHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedSocioeconomic FactorsSurveys and QuestionnairesSwedencohort studieshealth behaviorshealthy agingsocial determinants of health

Identifiers

PMID34383709
PMCPMC8386565

What OpenQuestion holds

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LicenceCC BY
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.