Evidence map›Paper›PMID 15939219›Full record

ArticleJournal of clinical epidemiology2005

Global self-rated health data from a longitudinal study predicted mortality better than comparative self-rated health in old age.

Merja Vuorisalmi, Tomi Lintonen, Marja Jylhä

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of clinical epidemiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Trial
  2. Meaning behind measurement: self-comparisons affect responses to health-related quality of life questionnaires.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2009
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  9. [Correlation Study of Community Social Environment and Self-Rated Health of Middle-Aged and Older Adults].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2021
    Article
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  20. Cultural values: can they explain self-reported health?Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Merja VuorisalmiTampere School of Public Health and Centre of Advanced Study, University of Tampere, Finland. merja.vuorisalmi@uta.fi
Tomi Lintonen
Marja Jylhä

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveSelf-rated health (SRH) has proved to be a predictor of subsequent mortality in old age. This study examines if the different question wording in SRH questions influences the association of SRH with mortality. Two SRH measures are examined, an age group comparative question and a global question with no explicit point of reference.

methodsThe data are from the Tampere Longitudinal Study on Ageing, consisting 944 respondents aged 60-89 years. The association between mortality and self-rated health was studied at 5, 10, and 20 years follow-up using Cox proportional hazard models.

resultsAs crude measures, global SRH was significantly associated with mortality after 5, 10, and 20 years follow-up, but the comparative SRH was not. After adjustment for age and several social and health indicators both SRH measures were associated with increased mortality risk even after 20 years of follow-up.

conclusionsBecause the age-sensitivity of the comparative SRH the global SRH may be a more appropriate measure in studies where the study population has a large age range and also as a health measure in clinical settings.

Indexed as

Health StatusMortalityAgedAged, 80 and overAge FactorsAgingFemaleHumansLongitudinal StudiesMaleMiddle AgedPrognosisRisk AssessmentSelf-AssessmentSex Factors

Identifiers

What OpenQuestion holds

Textmetadata
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.