wow-inequalities/02-data/intermediate/wos_sample/555b182fc00816b321ef9a65c0875908-eyles-emily-and-man/info.yaml

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2023-09-28 14:46:10 +00:00
abstract: 'Health inequalities continue to grow despite continuous policy
intervention. Work, one domain of health inequalities, is often included
as a component of social class rather than as a determinant in its own
right. Many social class classifications are derived from occupation
types, but there are other components within them that mean they may not
be useful as proxies for occupation. This paper develops the exposome, a
life-course exposure model developed by Wild (2005), into the worksome,
allowing for the explicit consideration of both physical and
psychosocial exposures and effects derived from work and working
conditions. The interactions between and within temporal and
geographical scales are strongly emphasised, and the interwoven nature
of both psycho social and physical exposures is highlighted. Individuals
within an occupational type can be both affected by and effect upon
occupation level characteristics and health measures. By using the
worksome, occupation types are separated from value-laden social
classifications. This paper will empirically examine whether occupation
better predicts health measures from the European Working Conditions
Survey (EWCS). Logistic regression models using Bayesian MCMC estimation
were run for each classification system, for each health measure. Health
measures included, for example, whether the respondent felt their work
affected their health, their self-rated health, pain in upper or lower
limbs, and headaches. Using the Deviance Information Criterion (DIC), a
measure of predictive accuracy penalised for model complexity, the
models were assessed against one another. The DIC shows empirically
which classification system is most suitable for use in modelling. The
2-digit International Standard Classification of Occupations showed the
best predictive accuracy for all measures. Therefore, examining the
relationship between health and work should be done with classifications
specific to occupation or industry rather than socio-economic class
classifications. This justifies the worksome, allowing for a conceptual
framework to link many forms of work-health research.'
affiliation: 'Eyles, E (Corresponding Author), Univ Bristol, Sch Geog Sci, Univ Rd,
Bristol BS8 1SS, Avon, England.
Eyles, Emily; Manley, David; Jones, Kelvyn, Univ Bristol, Sch Geog Sci, Univ Rd,
Bristol BS8 1SS, Avon, England.'
author: Eyles, Emily and Manley, David and Jones, Kelvyn
author-email: ee15592@bristol.ac.uk
author_list:
- family: Eyles
given: Emily
- family: Manley
given: David
- family: Jones
given: Kelvyn
da: '2023-09-28'
doi: 10.1016/j.socscimed.2018.09.020
eissn: 1873-5347
files: []
issn: 0277-9536
journal: SOCIAL SCIENCE \& MEDICINE
keywords: 'Occupational health; Classifications; Class; Work; Worksome; Exposome;
Social exposure'
keywords-plus: 'SELF-RATED HEALTH; SOCIOECONOMIC-STATUS; PRECARIOUS EMPLOYMENT;
ENVIRONMENTAL EXPOSURE; WORKING HOURS; EXPOSOME; INEQUALITIES;
CHALLENGE; MORTALITY; SCIENCE'
language: English
month: APR
note: '17th International Medical Geography Symposium (IMGS), Angers, FRANCE,
JUL 02-07, 2017'
number: SI
number-of-cited-references: '63'
orcid-numbers: 'Jones, Kelvyn/0000-0001-8398-2190
Jones, Kelvyn/0000-0001-8398-2190
Eyles, Emily/0000-0002-2695-7172'
pages: 56-62
papis_id: a084e0cd6f0b9ea8363f8f68581c3084
ref: Eyles2019occupiedclassificati
researcherid-numbers: 'Jones, Kelvyn/ABE-8689-2020
Jones, Kelvyn/A-3939-2011
'
times-cited: '15'
title: 'Occupied with classification: Which occupational classification scheme better
predicts health outcomes?'
2023-10-01 08:15:07 +00:00
type: article
2023-09-28 14:46:10 +00:00
unique-id: WOS:000466260800006
usage-count-last-180-days: '1'
usage-count-since-2013: '15'
volume: '227'
web-of-science-categories: 'Public, Environmental \& Occupational Health; Social Sciences,
Biomedical'
year: '2019'