Evidence map›Paper›PMID 38053402›Full record

ArticlePublic health nutrition2023

Association between a lifestyle score and all-cause mortality: a prospective analysis of the Chilean National Health Survey 2009-2010.

Fanny Petermann-Rocha, Felipe Diaz-Toro, Claudia Troncoso-Pantoja, María Adela Martínez-Sanguinetti, Ana María Leiva-Ordoñez, Gabriela Nazar, Yeny Concha-Cisternas, Ximena Díaz Martínez, Fabian Lanuza, Fernanda Carrasco-Marín and 11 more

Abstract read
In one paragraph

Article in Public health nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

21 authors.

Fanny Petermann-RochaCentro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago, Chile.
Felipe Diaz-ToroDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Claudia Troncoso-PantojaCentro de Investigación en Educación y Desarrollo (CIEDE-UCSC), Departamento de Salud Pública, Facultad de Medicina, Universidad Católica de la Santísima Concepción, Concepción, Chile.
María Adela Martínez-SanguinettiInstituto de Farmacia, Facultad de Ciencias, Universidad Austral de Chile, Valdivia, Chile.
Ana María Leiva-OrdoñezInstituto de Anatomía, Histología y Patología, Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile.
Gabriela NazarDepartamento de Psicología, Facultad de Ciencias Sociales, Universidad de Concepción, Concepción, Chile.
Yeny Concha-CisternasEscuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Talca, Chile.
Ximena Díaz MartínezDepartamento de Ciencias de la Educación, Grupo calidad de Vida en diferentes Poblaciones, Universidad del Biobio, Chillán, Chile.
Fabian LanuzaDepartamento de Procesos Diagnósticos y Evaluación, Facultad de Ciencias de la Salud, Universidad Católica de Temuco, Temuco4813302, Chile.ORCID 0000-0001-8545-9301
Fernanda Carrasco-MarínCentro de Vida Saludable, Universidad de Concepción, Concepción, Chile.
Miquel MartorellCentro de Vida Saludable, Universidad de Concepción, Concepción, Chile.ORCID 0000-0003-3183-7623
Karina Ramírez-AlarcónCentro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago, Chile.
Ana María LabrañaDepartamento de Nutrición y Dietética, Facultad de Farmacia, Universidad de Concepción, Concepción, Chile.
Solange Parra-SotoSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
Marcelo VillagranLaboratorio de Ciencias Biomédicas, Facultad de Medicina, Universidad Católica de la Santísima Concepción, Concepción, Chile.
Nicole Lasserre-LasoEscuela de Nutrición y Dietética, Facultad de Salud, Universidad Santo Tomás, Los Ángeles, Chile.
Igor CigarroaEscuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Los Ángeles 4440000, Chile.
Lorena MardonesLaboratorio de Ciencias Biomédicas, Facultad de Medicina, Universidad Católica de la Santísima Concepción, Concepción, Chile.
Jaime Vásquez-GómezCentro de Investigación de Estudios Avanzados del Maule (CIEAM), Laboratorio de Rendimiento Humano, Universidad Católica del Maule, Talca, Chile.
Carlos A Celis-MoralesSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.ORCID 0000-0003-2612-3917
ELHOC research Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the association between a lifestyle score and all-cause mortality in the Chilean population.

designProspective study. SETTINGS: The score was based on seven modifiable behaviours: salt intake, fruit and vegetable intake, alcohol consumption, sleep duration, smoking, physical activity and sedentary behaviours. 1-point was assigned for each healthy recommendation. Points were summed to create an unweighted score from 0 (less healthy) to 7 (healthiest). According to their score, participants were then classified into: less healthy (0-2 points), moderately healthy (3-4 points) and the healthiest (5-7 points). Associations between the categories of lifestyle score and all-cause mortality were investigated using Cox proportional hazard models adjusted for confounders. Nonlinear associations were also investigated.

participants2706 participants from the Chilean National Health Survey 2009-2010.

resultsAfter a median follow-up of 10·9 years, 286 (10·6 %) participants died. In the maximally adjusted model, and compared with the healthiest participants, those less healthy had 2·55 (95 % CI 1·75, 3·71) times higher mortality risk due to any cause. Similar trends were identified for the moderately healthy group. Moreover, there was a significant trend towards increasing the mortality risk when increasing unhealthy behaviours (hazard ratio model 3: 1·61 (95 % CI 1·34, 1·94)). There was no evidence of nonlinearity between the lifestyle score and all-cause mortality.

conclusionIndividuals in the less healthy lifestyle category had higher mortality risk than the healthiest group. Therefore, public health strategies should be implemented to promote adherence to a healthy lifestyle across the Chilean population.

Indexed as

Healthy LifestyleLife StyleChileHealth SurveysHumansProspective StudiesRisk FactorsLifestylemortalityprospective study

Identifiers

PMID38053402
PMCPMC10830369

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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.