Evidence map›Paper›PMID 24555764›Full record

ArticleBMC public health2014

Biological health or lived health: which predicts self-reported general health better?

Cristina Bostan, Cornelia Oberhauser, Gerold Stucki, Jerome Bickenbach, Alarcos Cieza

Abstract read
In one paragraph

Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  8. Are Single-Item Global Ratings Useful for Assessing Health Status?Journal of clinical psychology in medical settings · 2015
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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

5 authors.

Cristina BostanDepartment of Health Sciences and Health Policy, University of Lucerne, Lucerne, Switzerland. cristina.bostan@paraplegie.ch.
Cornelia Oberhauser
Gerold Stucki
Jerome Bickenbach
Alarcos Cieza

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLived health is a person's level of functioning in his or her current environment and depends both on the person's environment and biological health. Our study addresses the question whether biological health or lived health is more predictive of self-reported general health (SRGH).

methodsThis is a psychometric study using cross-sectional data from the Spanish Survey on Disability, Independence and Dependency Situation. Data was collected from 17,739 people in the community and 9,707 from an institutionalized population. The following analysis steps were performed: (1) a biological health and a lived health score were calculated for each person by constructing a biological health scale and a lived health scale using Samejima's Graded Response Model; and (2) variable importance measures were calculated for each study population using Random Forest, with SRGH as the dependent variable and the biological health and the lived health scores as independent variables.

resultsThe levels of biological health were higher for the community-dwelling population than for the institutionalized population. When technical assistance, personal assistance or both were received, the difference in lived health between the community-dwelling population and institutionalized population was smaller. According to Random Forest's variable importance measures, for both study populations, lived health is a more important predictor of SRGH than biological health.

conclusionsIn general, people base their evaluation of their own health on their lived health experience rather than their experience of biological health. This study also sheds light on the challenges of assessing biological health and lived health at the general population level.

Indexed as

EnvironmentHealth Status IndicatorsSelf ReportAgedCross-Sectional StudiesFemaleHumansMalePersons with DisabilitiesSpainSurveys and Questionnaires

Identifiers

PMID24555764
PMCPMC3943451

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.