Evidence map›Paper›PMID 29322199›Full record

ArticleSocial psychiatry and psychiatric epidemiology2018

The impact of socioeconomic status on the association between biomedical and psychosocial well-being and all-cause mortality in older Spanish adults.

Joan Doménech-Abella, Jordi Mundó, Maria Victoria Moneta, Jaime Perales, José Luis Ayuso-Mateos, Marta Miret, Josep Maria Haro, Beatriz Olaya

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Article in Social psychiatry and psychiatric epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
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  5. Review
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.

Joan Doménech-AbellaResearch, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, Barcelona, Spain. j.domenech@pssjd.org.
Jordi MundóDepartment of Sociology, Universitat de Barcelona, Barcelona, Spain.
Maria Victoria MonetaResearch, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, Barcelona, Spain.
Jaime PeralesDepartment of Preventive Medicine and Public Health, University of Kansas Medical Center, Kansas City, KS, USA.
José Luis Ayuso-MateosInstituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.
Marta MiretInstituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.
Josep Maria HaroResearch, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, Barcelona, Spain.
Beatriz OlayaResearch, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, Barcelona, Spain.

Funding

Horizon 2020 635316Instituto de Salud Carlos III PI12/01490Instituto de Salud Carlos III PI13/00059Instituto de Salud Carlos III PS09/00295Instituto de Salud Carlos III PS09/01845Ministerio de Educación, Cultura y Deporte FPU16/05209Seventh Framework Programme 223071-COURAGE Study
6 · The paper itself

Abstract

purposeThe aim of this paper was to analyze the effect of biomedical and psychosocial well-being, based on distinct successful aging models (SA), on time to mortality, and determine whether this effect was modified by socioeconomic status (SES) in a nationally representative sample of older Spanish adults.

methodsData were taken from a 3-year follow-up study with 2783 participants aged 50 or over. Vital status was ascertained using national registers or asking participants' relatives. Kaplan-Meier curves were used to estimate the time to death by SES, and levels of biomedical and psychosocial SA. Cox proportional hazard regression models were conducted to explore interactions between SES and SA models while adjusting for gender, age, and marital status.

resultsLower levels of SES and biomedical and psychosocial SA were associated with low probability of survival. Only the interaction between SES and biomedical SA was significant. Biomedical SA impacted on mortality rates among individuals with low SES but not on those with medium or high SES, whereas psychosocial SA affected mortality regardless of SES.

conclusionsPromoting equal access to health care system and improved psychosocial well-being could be a protective factor against premature mortality in older Spanish adults with low SES.

Indexed as

Cause of DeathMortality, PrematureSocial ClassAgedFemaleFollow-Up StudiesHealth StatusHumansMaleMiddle AgedProportional Hazards ModelsRegression AnalysisSpainBiomedical well-beingPsychosocial well-beingSocioeconomic statusSpainSuccessful agingSurvival analysis

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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.