Evidence map›Paper›PMID 26012695›Full record

ArticleBMC public health2015

Which environmental factors are associated with lived health when controlling for biological health? - a multilevel analysis.

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

Abstract read
In one paragraph

Article in BMC public health, 2015. 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. Article
  2. Article
  3. Determinants of Health Trajectories in England and the United States: An Approach to Identify Different Patterns of Healthy Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018
    Article
  4. Article
  5. Article
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 OberhauserDepartment of Medical Informatics, Biometry and Epidemiology-IBE, Pettenkofer School of Public Health (PSPHLMU), Research Unit for Biopsychosocial Health, Ludwig Maximilian University (LMU), Munich, Germany. cornelia.oberhauser@med.uni-muenchen.de.
Gerold StuckiDepartment of Health Sciences and Health Policy, University of Lucerne, Lucerne, Switzerland. gerold.stucki@paraplegie.ch.
Jerome BickenbachDepartment of Health Sciences and Health Policy, University of Lucerne, Lucerne, Switzerland. jerome.bickenbach@paraplegie.ch.
Alarcos CiezaSwiss Paraplegic Research, Nottwil, Switzerland. a.cieza@soton.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLived health and biological health are two different perspectives of health introduced by the International Classification of Functioning, Disability and Health (ICF). Since in the concept of lived health the impact of the environment on biological health is inherently included, it seems intuitive that when identifying the environmental determinants of health, lived health is the appropriate outcome. The Multilevel Item Response Theory (MLIRT) model has proven to be a successful method when dealing with the relation between a latent variable and observed variables. The objective of this study was to identify environmental factors associated with lived health when controlling for biological health by using the MLIRT framework.

methodsWe performed a psychometric study using cross-sectional data from the Spanish Survey on Disability, Independence and Dependency Situation. Data were collected from 17,303 adults living in 15,263 dwellings. The MLIRT model was used for each of the two steps of the analysis to: (1) calculate people's biological health abilities and (2) estimate the association between lived health and environmental factors when controlling for biological health. The hierarchical structure of individuals in dwellings was considered in both models.

resultsSocial support, being able to maintain one's job, the extent to which one's health needs are addressed and being discriminated against due to one's health problems were the environmental factors identified as associated with lived health. Biological health also had a strong positive association with lived health.

conclusionsThis study identified environmental factors associated with people's lived health differences within and between dwellings according to the MLIRT-model approach. This study paves the way for the future implementation of the MLIRT model when analysing ICF-based data.

Indexed as

EnvironmentHealth StatusAdultAgedCross-Sectional StudiesDisability EvaluationEmploymentFemaleHumansInternational Classification of Functioning, Disability and HealthMaleMiddle AgedMultilevel AnalysisPersons with DisabilitiesPsychometricsResidence Characteristics

Identifiers

PMID26012695
PMCPMC4445791

What OpenQuestion holds

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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.