Evidence map›Paper›PMID 32152345›Full record

ArticleScientific reports2020

Modifiable risk factors for 9-year mortality in older English and Brazilian adults: The ELSA and SIGa-Bagé ageing cohorts.

Marciane Kessler, Elaine Thumé, Shaun Scholes, Michael Marmot, Luiz Augusto Facchini, Bruno Pereira Nunes, Karla Pereira Machado, Mariangela Uhlmann Soares, Cesar de Oliveira

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 2 institutions in 2 countries.

Marciane KesslerDepartment of Postgraduate Program in Nursing, Federal University of Pelotas (UFPel), Pelotas, Rio Grande do Sul, Brazil. marciane.kessler@hotmail.com.ORCID http://orcid.org/0000-0002-4778-8224
Elaine ThuméDepartment of Postgraduate Program in Nursing, Federal University of Pelotas (UFPel), Pelotas, Rio Grande do Sul, Brazil.
Shaun ScholesDepartment of Epidemiology & Public Health, University College London (UCL), London, United Kingdom.
Michael MarmotDepartment of Epidemiology & Public Health, University College London (UCL), London, United Kingdom.
Luiz Augusto FacchiniDepartment of Postgraduate Program in Nursing, Federal University of Pelotas (UFPel), Pelotas, Rio Grande do Sul, Brazil.
Bruno Pereira NunesDepartment of Postgraduate Program in Nursing, Federal University of Pelotas (UFPel), Pelotas, Rio Grande do Sul, Brazil.
Karla Pereira MachadoDepartment of Postgraduate Program in Nursing, Federal University of Pelotas (UFPel), Pelotas, Rio Grande do Sul, Brazil.
Mariangela Uhlmann SoaresDepartment of Postgraduate Program in Nursing, Federal University of Pelotas (UFPel), Pelotas, Rio Grande do Sul, Brazil.
Cesar de OliveiraDepartment of Epidemiology & Public Health, University College London (UCL), London, United Kingdom.
Universidade Federal de Pelotas · BRUniversity College London · GB

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
NIA NIH HHS R01 AG017644
6 · The paper itself

Abstract

To quantify and compare 9-year all-cause mortality risk attributable to modifiable risk factors among older English and Brazilian adults. We used data for participants aged 60 years and older from the English Longitudinal Study of Ageing (ELSA) and the Bagé Cohort Study of Ageing (SIGa-Bagé). The five modifiable risk factors assessed at baseline were smoking, hypertension, diabetes, obesity and physical inactivity. Deaths were identified through linkage to mortality registers. For each risk factor, estimated all-cause mortality hazard ratios (HR) and population attributable fractions (PAF) were adjusted by age, sex, all other risk factors and socioeconomic position (wealth) using Cox proportional hazards modelling. We also quantified the risk factor adjusted wealth gradients in mortality, by age and sex. Among the participants, 659 (ELSA) and 638 (SIGa-Bagé) died during the 9-year follow-up. Mortality rates were higher in SIGa-Bagé. HRs and PAFs showed more similarities than differences, with physical inactivity (PAF 16.5% ELSA; 16.7% SIGa-Bagé) and current smoking (PAF 4.9% for both cohorts) having the strongest association. A clear graded relationship existed between the number of risk factors and subsequent mortality. Wealth gradients in mortality were apparent in both cohorts after full adjustment, especially among men aged 60-74 in ELSA. A different pattern was found among older women, especially in SIGa-Bagé. These findings call attention for the challenge to health systems to prevent and modify the major risk factors related to non-communicable diseases, especially physical inactivity and smoking. Furthermore, wealth inequalities in mortality persist among older adults.

Indexed as

MortalityAgedAged, 80 and overBrazilCause of DeathFemaleGeriatric AssessmentHumansLondonMaleMiddle AgedPublic Health SurveillanceRisk FactorsSocioeconomic Factors

Identifiers

PMID32152345
PMCPMC7062886
OpenAlexW3010443510

What OpenQuestion holds

Textmetadata
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.