Add wos sample results library

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

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+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?'
+type: Article; Proceedings Paper
+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'